&EPA
United States
Environmental Protection
Agency
Office of Air Quality
Planning and Standards
Research Triangle Park NC 27711
EPA-450/3-78-110b
September 1978
Air
The Development of
Mathematical Models for
the Prediction of
Anthropogenic Visibility
Impairment
Volume II: Appendices
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EPA-450/3/78-llOb
Volume II: Appendices
THE DEVELOPMENT OF MATHEMATICAL MODELS
FOR THE PREDICTION OF ANTHROPOGENIC
VISIBILITY IMPAIRMENT
by
Douglas A. Latimer, Robert W. Bergstrom, Stanley R. Hayes
Mei-Kao Liu, John H. Seinfeld, Gary Z. Whitten
Michael A. Wojcik, Martin J. Hillyer 0
S"stems Application, Incorporated
San Rafael, California 94903
Contract 68-01-3947
EPA Project Officers: John Butler, David Shaver, James Dicke
Prepared for
U.S. ENVIRONMENTAL PROTECTION AGENCY
Office of Planning and Evaluation Office of Air Noise and Radiation
401 M Street, SW . Office of Air Quality Planning and
Washington, DC 20460 Standards
Research Triangle Park, NC 27711
September 1978
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11
DISCLAIMER
This -report -"has .been reviewed .by the Office of Air Quality
Planning and .'Standards .-and the Office of 'Planning and Evaluation,
U.S. Environmental 'Protection .Agency and .approved -for .publication.
Approval does not signify that the contents necessarily reflect the
views and policies of the U.S. Environmental Protection Agency, nor
does mention of trade names or commercial products constitute endorse-
ment or recommendation for use.
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CONTENTS
DISCLAIMER . ii
LIST OF ILLUSTRATIONS v
LIST OF TABLES xxiii
APPENDIX A: ANALYSIS OF VISUAL RANGE IN'THE NORTHERN GREAT PLAINS
AND THE SOUTHWEST . 1
1. Objectives and Scope of the Study 2
2. Availability of Data on the Northern Great Plains 4
3. Selection of the Southwest for Data Analysis 8
4. The Data Analysis 17
5. The Frequency Distribution of Visual Range
in the West 22
6. Yearly Trends in Visual Range 29
7. Effect of Relative Humidity 53
8. Effect of Cloud Cover 74
9. Effect of Barometric Pressure . . . . 93
10. Effect of Ventilation 93
11. Effect of Wind Speed 112
12. Seasonal Variations 149
13. Diurnal Variations 149
14. Variation With Wind Direction 186
APPENDIX B: ATMOSPHERIC OPTICS CALCULATION 213
1. Methods of Calculating Scattering and Extinction
Coefficients ...... 214
2. Methods for Calculating and Displaying Visual
Degradation and Discoloration 227
APPENDIX C: THE CHEMISTRY OF SULFATE FORMATION ... 244
1. Homogeneous Oxidation of S02 249
2. Heterogeneous Oxidation of S02 252
3. Sulfate Formation in Remote Areas 258
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IV
APPENDIX D: DESCRIPTION OF THE PLUME VISIBILITY MODEL . . 263
1. Computational Procedure (Logic Flow) 264
2. Program Structure 268
3. Program Use . . 269
APPENDIX E: PLUME MODEL SAMPLE OUTPUT . 273
Example 1: Output for a Plume from a Hypothetical 3000
Mwe Coal-Fired Power Plant 275
Example 2: Output for a Plume from a Copper Smelter 304
APPENDIX F: DESCRIPTION OF THE NORTHERN GREAT PLAINS REGIONAL
MODEL 323
1. The Mixing Layer Model . 326
2. The Surface Layer Model . . . 333
APPENDIX G: APPLICATION OF THE REGIONAL MODEL TO THE PREDICTION OF
VISIBILITY IMPAIRMENT IN THE NORTHERN GREAT PLAINS ... 338
1. Application of the Regional-Scale Model 339
2. Analysis of the Modeling Results 352
REFERENCES APPEAR AT THE END OF VOLUME I
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ILLUSTRATIONS
A-l Logic Flow and Elements of the Visual Range Data Analysis . . 5
A-2 Map of the Western United States Showing the Locations of
Large Point Sources, Mandatory Federal Class I Areas, and
NWS Stations Where Visibility Observations Are Made 10
A-3 AQCRs in the West Whose Emissions of TSP, S0?, NO , or
Hydrocarbons Exceeded 300,000 Tons in 1973 . . 12
A-4 Distribution of Pollution Emissions Within a. 1400 km
Radius of a Location in South Central Utah Weighted by the
Reciprocal of the Distance 15
A-5 Effect of Precipitation on Visual Range at Uinslow,
Arizona, 1967-1976 21
A-6 Frequency Distributions of Visual Range at 13 Western
U.S. Locations on Days Without Precipitation or Fog
in 1976 23
A-7 Frequency Distributions of Extinction Coefficients Based
on Visual Range Observations at 13 Western U.S. Locations
on Days Without Precipitation o~ Fog in 1976 25
A-8 Frequency Distributions of Extinction Coefficients Based
on Photographic Photometry in the Petrified Forest,
Arizona, in 1973 and 1974 26
A-9 Frequency Distribution of Extinction Coefficients Based on
Visibility Observations at 8 National Park Service Sites
in the Southwest in 1976 28
A-10 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Denver, Colorado, 1948-1976 30
A-11 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in Las
Vegas, Nevada, 1951-1976 31
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A-12 Percentage of Daylight Observations for Which Visual Range
. Exceeded, an'Indlca.tecL.Va.l.ue,. as a Function of. Year., in
Phoenix, Arizona, 1948-1976 . ....... 32
A-13 Percentage of Daylight Observations for Wh.ich Visual. Range
Exceeded an Indicated Value, as a Function of Year, in
Salt Lake.City, Utah, 1948-1976 33
A-14 Percentage of Daylight Observations-for Which Visual Range
Exceeded an'Indicated Value, as a .Function of Year, in
Tucson, Arizona, 1949-1976 34
A^15 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Alamogordo, New Mexico, 1955-1970 35
Arl6 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Billings, Montana, 1948-1976 .... 36
A-17 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Colorado Springs, Colorado, 1948-1976 37
A-18 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Cheyenne, Wyoming, 1948-1976 38
A-19 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value as a Function of Year, in
Ely, Nevada, 1953-1976 39
A-20 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Farmington, New Mexico, 1949-1976 40
A-21 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Ft. Huachuca, Arizona, 1954-1971 41
A-22 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Grand Junction, Colorado, 1948-1976 42
A-23 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Great Falls, Montana, 1948-1976 . 43
A-24 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Prescott, Arizona, 1948-1976 44
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vn
A-25 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Pueblo, Colorado, .1954-1976 45
A-26 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, at
Rock Springs, Wyoming, 1948-1976 . 46
A-27 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Year, in
Winslow, Arizona, 1948-1976 ...... 47
A-28 Yearly Trends in S0? Emissions from Copper Smelters in
Arizona 50
A-29 Yearly Trends in U.S. Copper Production 51
A-30 Effect of Relative Humidity on b of a Laboratory
Sulfate Aerosol 53
A-31 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Relative Humidity, at
Denver, Colorado 54
A-32 Percentage of Daylight Observations for Which Visual Range
Exceeded 48 km, as a Function of Relative Humidity, at
Las Vegas, Nevada 55
A-33 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Relative Humidity, at
Phoenix, Arizona 56
A-34 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function cf Relative Humidity, at
Salt Lake City, Utah 57
A-35 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Relative Humidity, at
Tucson, Arizona 58
A-36 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Relative Humidity, at
Alamogordo, New Mexico 59
A-37 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Relative Humidity, at
Billings, Montana 60
A-38 Percentage of Daylight Observations for Which Visual Range
Exceeded 145 km, as a Function of Relative Humidity, at
Cheyenne, Wyoming . 61
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VI 11
A-39 Percentage of Daylight Observations for Which Visual Range
Exceeded 105 km, as a Function of ^Relati-ve'Humidity, at
Colorado Springs, Colorado ...... 62
A-40 Percentage of Daylight Observations for Which Visual Range
Exceeded 72 km, as a Function of Relative Humidity, at
Ely, Nevada . . . 63
A-41 Percentage of Daylight Observations for Which Visual Range
Exceeded 121 km, as a Function of Relative Humidity, at
Farmington, New Mexico 64
A-42 Percentage of Daylight Observations for Which Visual Range
Exceeded 89 km, as a Function of Relative Humidity, at
Ft. Huachuca, Arizona . 65
A-43 Percentage of Daylight Observations for Which Visual Range
Exceeded 113 km, as a Function of Relative Humidity, at
Grand Junction, Colorado 66
A-44 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Relative Humidity, at
Great Falls, Montana 67
A-45 Percentage of Daylight Observations for Which Visual Range
Exceeded 105 km, as a Function of Relative Humidity, at
Prescott, Arizona 68
A-46 Percentage of Daylight Observations for Which Visual Range
Exceeded 113 km, as a Function of Relative Humidity, at
Pueblo, Colorado 69
A-47 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Relative Humidity, at
Rock Springs, Wyoming 70
A-48 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Relative Humidity, at
Winslow, Arizona 71
A-49 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Cloud Cover, at Denver,
Colorado 75
A-50 Percentage of Daylight Observations for Which Visual Range
Exceeded 48 km, as a Function of Cloud Cover at Las Vegas,
Nevada 76
A-51 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Cloud Cover, at Phoenix,
Arizona 77
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A-52 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Cloud Cover, at Salt Lake
City, Utah 78
A-53 »Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Cloud Cover,
at Tucson, Arizona 79
A-54 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Cloud Cover, at Alamogordo,
New Mexico 80
A-55 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Cloud Cover, at Billings,
Montana 81
A-56 Percentage of Daylight Observations for Which Visual Range
Exceeded 145 km, as a Function of Cloud Cover, at Cheyenne,
Wyoming 82
A-57 Percentage of Daylight Observations for Which Visual Range
Exceeded 105 km, as a Function of Cloud Cover, at Colorado
Springs, Colorado 83
A-58 Percentage of Daylight Observations for Which Visual Range
Exceeded 72 km, as a Function of Cloud Cover, at Ely,
Nevada 84
A-59 Percentage of Daylight Observations for Which Visual Range
Exceeded 121 km, as a Function of Cloud Cover, at Farmington,
New Mexico 85
A-60 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function or Cloud Cover, at Ft. Huachuca,
Arizona 86
A-61 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Cloud Cover, at Grand
Junction, Colorado 87
A-62 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Cloud Cover, at Great Falls,
• Montana 88
A-63 Percentage of Daylight Observations for Which Visual Range
Exceeded 105 km, as a Function of Cloud Cover, at Prescott,
Arizona 89
A-64 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Cloud Cover, at Pueblo,
Colorado 90
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A-65 Percentage, of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Cloud Cover, at Rock
Springs, Wyoming ... '91
A-66 Percentage of Daylight Observations for Which Visual Range .
Exceeded 97 km, as a Function of Cloud Cover, at Winslow,
.Arizona 92
A-67 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Barometric 'Pressure, at
Denver, Colorado 94
A-68 Percentage of .Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Barometric
Pressure, at Las Vegas, Nevada 95
A-69 Percentage.of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Barometric Pressure, at
Phoenix, Arizona 96
A-70 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Barometric Pressure, at
Salt Lake City, Utah 97
A-71 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Barometric Pressure, at
Tucson, Arizona 98
A-72 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Barometric Pressure, at
Alamogordo, New Mexico 99
A-73 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Barometric Pressure, at
Billings, Montana 100
A-74 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Barometric
Pressure, at Cheyenne, Wyoming 101
A-75 Percentage of Daylight Observations for Which Visual Range
Exceeded 105 km, as a Function of Barometric Pressure, at
Colorado Springs, Colorado -.102
A-76 Percentage of Daylight Observations for Which Visual Range
Exceeded 72 km, as a Function of Barometric Pressure, at
Ely, Nevada 103
A-77 Percentage of Daylight Observations for Which Visual Range
Exceeded 121 km, as a Function of Barometric Pressure, at
Farmington, New Mexico 104
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XI
A-78 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Barometric Pressure, at
Ft. Huachuca, Arizona 105
A-79 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Barometric Pressure, at
Grand Junction, Colorado 106
A-80 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Barometric Pressure, at
Great Falls, Montana . 107
A-81 Percentage of Daylight Observations for Which Visual Range
Exceeded 105 km, as a Function of Barometric Pressure, at
Prescott, Arizona . 108
A-82 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Barometric Pressure, at
Pueblo, Colorado 109
A-83 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Barometric Pressure, at
Rock Springs, Wyoming 110
A-84 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Barometric Pressure, at
Winslow, Arizona Ill
A-85 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Ventilation at Denver,
Colorado 113
A-86 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as : Function of Ventilation,
at Las Vegas, Nevada, 1960-1964 114
A-87 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Ventilation,
at Phoenix, Arizona, 1960-1964 115
A-88 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Ventilation,
at Salt Lake City, Utah, 1960-1964 116
A-89 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Ventilation,
at Tucson, Arizona, 1960-1964 117
V
A-90 Percentage of Daylight Observations for Which Visual Range
Exceeded 113 km, as a Function of Ventilation, at Alamogordo,
New Mexico, 1960-1964 118
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XI 1
A-91 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, -as a Function of Ventilation,
at Billings, Montana, 1960-1964 119
A-92 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Ventilation,
at Cheyenne, Wyoming, 1960-1964 . 120
A-93 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Ventilation,
at Colorado Springs, Colorado, 1960-1964 121
A-94 Percentage of Daylight Observations for Which Visual Range
Exceeded 72 km, as a Function of Ventilation, at Ely, Nevada,
1960-1964 . . 122
A-95 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Ventilation,
at Farmington, New Mexico, 1960-1964 123
A-96 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Ventilation, at Ft. Huachuca
Arizona, 1960-1964 124
A-97 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Ventilation, at
Grand Junction, Colorado, 1960-1964 125
A-98 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Ventilation, at Great Falls,
Montana, 1960-1964 .126
A-99 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Ventilation,
at Prescott, Arizona, 1960-1964 ,127
A-100 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Ventilation,
at Pueblo, Colorado, 1960-1964 '. . 128
A-101 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Ventilation, at Rock
Springs, Wyoming, 1960-1964 . . .129
A-102 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Ventilation, at Wirislow,
Arizona, 1960-1964 .... 130
A-103 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Surface Wind Speed, at
Denver, Colorado 131
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X.m
A-104 Percentage of Daylight Observations for Which Visual Range
Exceeded 105 km, as a Function of Surface Wind Speed, at
Las Vegas, Nevada 132
A-105 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Surface Wind Speed, at
Phoenix, Arizona 133
A-106 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Surface Wind Speed, at
Salt Lake City, Utah 134
A-107 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Surface Wind Speed, at
Tucson, Arizona . . 135
A-108 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Surface Wind Speed, as
Alamogordo, New Mexico 136
A-109 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Surface Wind Speed, at
Billings, Montana 137
A-110 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Surface Wind Speed, at
Cheyenne, Wyoming 138
A-lll Percentage of Daylight Observations for Which Visual Range
Exceeded 105 km, as a Function of Surface Wind Speed, at
o Colorado Springs, Colorado 139
A-112 Percentage of Daylight Observations for Which Visual Range
Exceeded 72 km, as a Function rf Surface Wind Speed, at
Ely, Nevada • 140
A-113 Percentage of Daylight Observations for Which Visual Range
Exceeded 121 km, as a Function of Surface Wind Speed, at
Farmington, New Mexico 141
A-114 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Surface Wind Speed, at
Ft. Huachuca, Arizona 142
A-115 Percentage of Daylight Observations for Which Visual Range
Exceeded 113 km, as a Function of Surface Wind Speed, at
Grand Junction, Colorado 143
0
A-116 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Surface Wind Speed, at
Great Falls, Montana 144
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XIV
A-117 Percentage of Daylight Observations for Which Visual Range
Exceeded 105 km, as a Function of Surface Wind Speed, at
Prescott, Arizona 145
A-118 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Surface Wind Speed, at
Pueblo, Colorado 146
A-119 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Surface Wind Speed, at
Rock Springs, Wyoming 147
A-120 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Surface Wind Speed, at
Winslow, Arizona 148
A-121 Seasonal Variation in Visual Range at Denver, Colorado,
1948-1976 . 150
A-122 Seasonal Variation in Visual Range at Las Vegas, Nevada,
1948-1976 151
A-123 Seasonal Variation in Visual Range at Phoenix, Arizona,
1948-1976 152
A-124 Seasonal Variation in Visual Range at Salt Lake City,
Utah, 1948-1976 153
A-125 Seasonal Variation in Visual Range at Tucson, Arizona,
1948-1976 154
A-126 Seasonal Variation in Visual Range at Alamogordo, New
Mexico, 1948-1976 •. 155
A-127 Seasonal Variation in Visual Range at Billings, Montana,
1948-1976 156
A-128 Seasonal Variation in Visual Range at Cheyenne, Wyoming,
1948-1976 157
A-129 Seasonal Variation in Visual Range at Colorado Springs,
Colorado, 1948-1976 . 158
A-130 Seasonal Variation in Visual Range at Ely, Nevada,
1953-1976 159
A-131 Seasonal Variation in Visual Range at Farmington, New
Mexico, 1948-1976 ".160
A-132 Seasonal Variation in Visual Range at Ft. Huachuca, Arizona,
1957-1971 161
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XV
A-133 Seasonal Variation in Visual Range at Grand Junction,
Colorado, 1948-1976 162
A-134 Seasonal Variation in Visual Range at Great Falls,
Montana, 1948-1976 163
A-135 Seasonal Variation in Visual Range at Prescott, Arizona,
1948-1976 164
A-136 Seasonal Variation in Visual Range at Pueblo, Colorado,
1954-1976 165
A-137 Seasonal Variation in Visual Range at Rock Springs,
Wyoming, 1948-1976 166
A-138 Seasonal Variation in Visual Range at Winslow, Arizona,
1948-1976 167
A-139 Variation in Visual Range as a Function of Time of Day at
Denver, Colorado, 1948-1976 . 158
A-140 Variation in Visual Range as a Function of Time of Day at
Las Vegas, Nevada, 1948-1976 169
A-141 Variation in Visual Range as a Function of Time of Day at
Phoenix, Arizona, 1948-1976 170
A-142 Variation in Visual Range as a Function of Time of Day at
Salt Lake City, Utah, 1948-1976 171
A-143 Variation in Visual Range as a Function of Time of Day at
Tucson, Arizona, 1948-1976 172
A-144 Variation in Visual Range as a :jnction of Time of Day at
Alamogordo, New Mexico, 1948-1970 . . . ... . , 173
A-145 Variation in Visual Range as a Function of Time of Day at
Billings, Montana, 1948-1976 174
A-146 Variation in Visual Range as a Function of Time of Day at
Cheyenne, Wyoming, 1948-1976 . . . 175
A-147 Variation in Visual Range as a Function of Time of Day at
Colorado Springs, Colorado, 1948-1976 176
A-148 Variation in Visual Range as a Function of Time of Day at
Ely, Nevada, 1953-1976 177
A-149 Variation in Visual Range as a Function of Time of Day at
Farmington, New Mexico, 1949-1976 178
A-150 Variation in Visual Range as a Function of Time of Day at.
Ft. Huachuca, Arizona, 1954-1971 179
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XVI
A-151 Variation of Visual Range as a Function of Time of Day at
Grand Junction, Colorado, 1948-1976 ..... 180
A-152 Variation in Visual Range as a Function of Time of Day at
Great Falls, Montana, 1948-1976 .181
A-153 Variation in Visual Range as a Function of Time of Day at
Prescott, Arizona, 1948-1976 182
A-154 Variation in Visual Range as a Function of Time of Day at
Pueblo, Colorado, 1954-1976 . . 183
A-155 Variation of Visual Range as a Function of Time of Day at
Rock Springs, Wyoming, 1948-1976 .184
A-156 Variation of Visual Range as a Function of Time of Day at
Winslow, Arizona, 1948-1976 185
A-157 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Wind Direction, at Denver,
Colorado, 1948-1976 187
A-158 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Wind Direction,
at Las Vegas, Nevada, 1948-1976 188
A-159 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Wind Direction,
at Phoenix, Arizona, 1948-1976 189
A-160 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Wind Direction at Salt
Lake City, Utah, 1948-1976 190
A-161 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value as a Function of Wind Direction,
at Tucson, Arizona, 1948-1976 . . . 191
A-162 Percentage of Daylight Observations for Which Visual Range
Exceeded 113 km as a Function of Wind Direction, at
Alamogordo, New Mexico, 1957-1970 192
A-163 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Wind Direction, at Billings,
Montana, 1948-1976 193
A-164 Percentage of Observations for Which Visual Range Exceeded
145 km, as a Function of Wind Direction, at Cheyenne,
Wyoming, 1948-1976 194
A-165 Percentage of Daylight Observations for Which Visual Range
Exceeded 145 km, as a Function of Wind Direction, at
Colorado Springs, Colorado, 1948-1976 . . . 195
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XVI 1
A-166 Percentage of Daylight Observations for Which Visual Range
Exceeded 72 km, as a Function of Wind Direction, at Ely,
Nevada, 1948-1976 . 196
A-167 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Wind Direction,
at Farmington, New Mexico, 1949-1976 197
A-168 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Wind Direction,
at Ft. Huachuca, Arizona, 1957-1970 198
A-169 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Wind Direction,
at Grand Junction, Colorado, 1948-1976 199
i
A-170 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Wind Direction, at Great
. Falls, Montana, 1948-1976 200
A-171 Percentage of Daylight Observations for Which Visual Range
Exceeded an Indicated Value, as a Function of Wind Direction,
at Prescott, Arizona, 1948-1976 201
A-172 Percentage of Daylight Observations for Which Visual Range
Exceeded 113 km, as a Function of Wind Direction, at Pueblo,
Colorado, 1954-1976 202
,A-173 Percentage of Daylight Observations for Which Visual Range
Exceeded 64 km, as a Function of Wind Direction, at Rock
Springs, Wyoming, 1948-1976 203
A-174 Percentage of Daylight Observations for Which Visual Range
Exceeded 97 km, as a Function of Wind Direction, at Winslow
Arizona, 1948-1976 204
A-175 Percentage of Daylight Observations with RH < 60 Percent for
Which Visual Range Exceeded 105 km, as a Function of Wind
Direction, at Prescott, Arizona, 1948-1976 210
A-176 Percentage of Daylight Observations with RH < 60 Percent for
Which Visual Range Exceeded 97 km, as a Function of Wind
Direction, at Winslow, Arizona, 1948-1976 211
A-177 Percentage of Daylight Observations with RH < 60 Percent
for Which Visual Range Exceeded 121 km, as a Function of
Wind Direction, at Farmington, New Mexico, 1948-1976 . . . .212
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XVI 1 1
B-l Extinction and Absorption per Unit Mass as a Function
of Particle Radius for Four Different Refractive
Indices at a Solar Wavelength of 0.55 pm 221
B-2 Scattering-to-Mass Ratios for Various Size
Distributions 222
B-3 The Scattering Distribution Function for the Accumulation
Mode, r = 0.1 ym, a = 2.0 ym at Two Different Wavelengths . . 224
B-4 Ratio of Light Scattering to Mass as a Function of
Relative Humidity 226
B-5 Diagram of the Physical Situation 229
B-6 Diagram of the Two Atmospheric Layers 233
B-7 Coordinate System and Angles 235
D-l Flowchart of the Computer Code Calculations and Program
Structure for the Plume Visibility Model 266
F-l Schematic of the Regional Model Configuration 325
F-2 850-mb Weather Map for 1700 MST 30 January 1976 331
F-3 Bicubic Spline Fit of Geopotential Height (in Meters) 332
F-4 Meridional Wind (m/s) Generated by a Bicubic Spline Fit
of Geopotential Height 332
F-5 Zonal Wind (m/s) Generated by a Bicubic Spline Fit of
Geopotential Height 332
F-6 Computed Horizontal Eddy Diffusivities (104 m2/s) 332
F-7 Schematic Illustration of the Surface Layer 334
G-l Relative Locations of the Hypothetical Copper Smelters 344
G-2 S02 Concentrations Predicted by the Regional Air
Pollution Model for the Winter Case 347
G-3 850 Millibar Weather Map for 500 MST on 10 July 1975 349
G-4 Photodissociation Rate Constant Temporal Variation 351
G-5 Hypothetical Copper Smelter Isopleths for 1700-2000
MST on 4 April 1976 Assuming 0.5 Percent per Hour
Sulfate Formation 353
-------
XIX
G-6 Hypothetical Copper Smelter Isopleths for 200-500 MST
on 5 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 356
6-7 Hypothetical Copper Smelter Isopleths for 1100-1400 MST
on 5 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 359
0
6-8 Hypothetical Copper Smelter Isopleths for 2000-2300 MST
on 5 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 362
6-9 Hypothetical Copper Smelter Isopleths for 500-800 MST
on 6 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 365
6-10 Hypothetical Copper Smelter Isopleths for 1400-1700 MST
on 6 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation '. 368
6-11 Hypothetical Copper Smelter Isopleths for 1700-2000 MST
on 9 July 1975 Assuming 0.5 Percent per Hour Sulfate
Formation 372
6-12 Hypothetical Copper Smelter Isopleths for 200-500 MST
on 10 July 1975 Assuming 0.5 Percent per Hour Sulfate
Formation 375
6-13 Hypothetical Copper Smelter Isopleths for 1100-1400 MST
on 10 July 1975 Assuming 0.5 Percent per Hour Sulfate
Formation 378
6-14 Hypothetical Copper Smelter Isoplett.: for 2000-2300 MST
on 10 July 1975 Assuming 0.5 Percent per Hour Sulfate
Formation 381
6-15 Hypothetical Copper Smelter Isopleths for 500-800 MST
on 10 July 1975 Assuming 0.5 Percent per Hour Sulfate
Formation 384
o
6-16 Hypothetical Copper Smelter Isopleths for 1400-1700 MST
on 10 July 1975 Assuming 0.5 Percent per Hour Sulfate
Formation . 387
6-17 Hypothetical Copper Smelter Isopleths for 1700-2000 MST
on 27 January 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 390
G-18 Hypothetical Copper Smelter Isopleths for 200-500 MST
on 28 January 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 393
-------
XX
G-19 Hypothetical Copper Smelter Isopleths for 1100-1400 MST
on 28 January 1975 Assuming 0.5 Percent per Hour Sulfate
Formation 396
G-20 Hypothetical Copper Smelter Isopleths for 2000-2300 MST
on 28 January 1976 Assuming 0.5 Percent per Hour Sulfate
Formation . . 399
G-21 Hypothetical Copper Smelter Is
-------
XXI
G-32 Hypothetical Copper,Smelter Isopleths for 2000-2300 MST
on 5 April 1976 Assuming 0.3 Percent per Hour Sulfate
Formation 436
6-33 Hypothetical Copper Smelter Isopleths for 500-800 MST
on 6 April 1976 Assuming 0.3 Percent per Hour Sulfate
Formation 439
6-34 Hypothetical Copper Smelter Isopleths for 1400-1700 MST
on 6 April 1976 Assuming 0.3 Percent per Hour Sulfate
Formation 442
6-35 1975 Northern Great Plains Isopleths for 1700-2000 MST
on 4 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 445
G-36 1975 Northern Great Plains Isopleths for 200-500 MST
on 5 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 449
•6-37 1975 Northern Great Plains Isopleths for 1100-1400 MST
on 5 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 453
6-38 1975 Northern Great Plains Isopleths for 2000-2300 MST
on 5 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 457
G-39 1975 Northern Great Plains Isopleths for 500-800 MST
on 6 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 461
G-40 1975 Northern Great Plains Isopleths for 1400-1700 MST
on 6 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 465
6-41 1986 Northern Great Plains Isopleths for 1700-2000 MST
on 4 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 470
G-42 1986 Northern Great Plains Isopleths for 200-500 MST
on 5 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 474
G-43 1986 Northern Great Plains Isopleths for 1100-1400 MST
on 5 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 478
-------
xxn
G-44 1986 Northern Great Plains Isopleths for 2000-2300 MST
on 5 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 482
G-45 1986 Northern Great Plains Isopleths for 500-800 MST
on 6 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 486
G-46 1986 Northern Great Plains Isopleths for 1400-1700 MST
on 6 April 1976 Assuming 0.5 Percent per Hour Sulfate
Formation 490
-------
XXTM
TABLES
A-l Distance to the Farthest Visual Range Markers at NWS
Stations in the Northern Great Plains . 7
A-2 Pollutant Emissions in the Western States ... 13
A-3 Coal-Fired Power Plants in the Southwest 18
A-4 Summary of Data Sorting 20
A-5 Components of Average Light Scattering at the Grand
Canyon in 1974 27
B-l Estimates of Extinction Coefficients per Unit Mass 217
B-2 Equations and Limitations for the Regional Model 243
B-3 Equations and Limitations for the Plume Model 243
C-l Observed Sulfur Dioxide Oxidation Rates 248
C-2 Estimated Contributions to Atmospheric S02 Oxidation
Rate by Homogeneous Chemical Reactions 251
C-3 Rate Constants ks for the Liquid-Phase Oxidation
of S02 by 02 ,• 253
C-4a Liquid-Phase Oxidation of S02 by 03 . . . . ; 255
C-5 Metal-Ion Catalyzed Liquid-Phase Oxidation of SOp 256
D-l Data Requirements for the Plume Visibility Computer
Program 270
F-l Deposition Velocity (V = F/cf, in cm/s) for Sulfur Dioxide . . 337
G-l Point Sources in the Northern Great Plains in 1976 That
Emitted More Than 10,000 Tons of SO per Year 341
A
G-2 Point Sources in the Northern Great Plains in 1986 That
Emitted More Than 10,000 Tons of SOV per Year 342
A
G-3 Emissions Parameters for the Hypothetical Copper Smelters . . . 343
G-4 The Five Regional Visibility Model Simulations 352
-------
APPENDIX A
ANALYSIS OF VISUAL RANGE IN
THE NORTHERN GREAT PLAINS
AND THE SOUTHWEST
-------
APPENDIX A
ANALYSIS OF VISUAL RANGE IN THE NORTHERN GREAT PLAINS
AND THE SOUTHWEST
Appendix A describes the data analysis, objectives, progress, and
results. After describing the context of this part of the study, we then
discuss the availability of data, the selection of a region for data anal-
ysis, and the results.
1. OBJECTIVES AND SCOPE OF THE STUDY
In support of the development of models for the prediction of anthro-
pogenic visibility impairment, we studied visual range data available
for various locations in the western United States. The data analysis
task has three objectives:
> To determine the magnitude, temporal and spatial
variations, and causes of visibility impairment in
the western United States.
> To identify the meteorological and geographical con-
ditions associated with visibility impairment.
> To select a region and time period suitable for
modeling, model validation, or both.
Specific questions that the study and analysis of data addressed
include:
> Under what meteorological conditions is visibility
impairment greatest?
> Under what meteorological conditions is visibility
impairment caused by anthropogenic air pollution
greatest?
> Is visibility most impaired by anthropogenic pollution
on days with poor ventilation?
-------
> Does visibility impairment result from air pollutants
transported from other areas?
> How far is air pollution transported?
> Does visibility depend on factors such as wind speed,
mixing depth, relative humidity, and cloud cover?
> Are there significant monthly or seasonal variations
in visibility degradation?
> Does visibility change significantly from year to year
and if it does, can visibility changes be correlated
with historical variations in emissions?
> Can spatial and temporal variations in visibility be
explained by variations in air pollutant concentrations
caused by changing meteorological conditions?
> Can it be determined whether local or distant sources
and whether natural or anthropogenic sources cause
visibility impairment?
> How can the contribution of a given source to visibil-
ity degradation be determined?
Seven primary types of data were analyzed to meet these objec-
tives and to answer these questions:
> National Weather Service (NWS) ""hree-hour surface
meteorological data, including visibility, for the avail-
able recorded period of 1948 through 1976 (TDF-14 data
tape).
> Holzworth mixing depth and upper-air wind analysis for
the period 1960 through 1964--twice daily values of mixing
depth and average wind speed in the mixed layer.
> Surface and constant pressure (upper-air) synoptic weather
maps.
> Magnitude and distribution of air pollution emissions
[National Emissions Data System (NEDS)].
-------
> Air quality data, in particular the concentrations of
total suspended particulates, sulfate, nitrate, nitrogen
dioxide, nitric oxide, and ozone (SAROAD system).
> U.S. Geological Survey topographic maps.
> Special studies of visibility and power plant plume
impact [National Park Service, National Oceanic and
Atmospheric Administration (NOAA), Martin-Marietta,
Dames & Moore].
Figure A-l shows the logic flow and the elements of the data anal-
ysis task. We obtained the aerometric data, created chronological data
files and sorted the data available from 13 f!HS stations in the
West for the period 1948 through 1976. To determine the spatial vari-
ations of visibility, we have mapped visual range on selected days in
1976; other maps show the locations of major point pollution sources in
the western United States. Finally, we interpreted the results of the
data analysis in terms of answers to the questions listed above and also
in terms of other, more specific questions that need to be answered.
Because no measurements are currently made of atmospheric discoloration,
this aspect of visibility impairment has not been studied. Only reduc-
tions in visual range have been studied. In subsequent sections of
Appendix A the term "visibility" is used synonymously for "visual range.'
2. AVAILABILITY OF DATA ON THE NORTHERN GREAT PLAINS
The Northern Great Plains region offers specific advantages as a
modeling region:
> It is flat and hence does not have the complicated
flow conditions that occur in complex terrain.
> SAI has already developed a regional air quality
model for the Northern Great Plains that could be
modified to predict regional visibility.
-------
ASSESS THE
AVAILABILITY AND QUALITY
OF AEROMETRIC DATA
OBTAIN AEROMETRIC DATA
FROM VARIOUS SOURCES
NWS VISIBILITY
AND SURFACE
METEOROLOGY
TDF-14 TAPES'
(NCC)
NIXING DEPTH
AND HIND SPEED
(1960-64)(NCC)
AIR POLLUTANT
EMISSIONS
(NEDS)(EPA)
CREATE CHRONOLOGICAL DATA FILE
1948-76 TDF-14 DATA
1960-64 MERGED TDF-14 AND
HOLZWORTH DATA
SYNOPTIC
HEATHER HAPS
(UPPER AIR AND
SURFACE)(NCC)
SORT DATA FOR EACH OF
20 LOCATIONS IN THE WEST
AND CREATE TABLES OF
VISIBILITY FREQUENCY
DISTRIBUTIONS VERSUS
MIND SPEED
WIND DIRECTION
VENTILATION
SEA LEVEL PRESSURE
PRECIPITATION
RELATIVE HUMIDITY
CLOUD COVER
TEMPERATURE
YEAR
SEASON
SELECT DAYS FOR
DETAILED MAPPING OF
VISIBILITY, AIR QUALITY,
METEOROLOGY, AND
EMISSIONS TO DETERMINE
SOURCES AND EXTENT OF
VISIBILITY DEGRADATION
PLOT 10, V>. SO PERCENT 1LE
VISIBILITIES VERSUS THE
PARAMETERS NOTED ABOVE
MISCELLANEOUS
DATA FROM
SPECIAL STUDIES
INTERPRET THE RESULTS OF ANALYSIS:
• TO DETERMINE THE MAGNITUDE,
TEMPORAL AND SPATIAL VARIATIONS,
AND CAUSES OF VISIBILITY IMPAIR-
MENT IN WESTERN UNITED STATES
• TO IDENTIFY THE METEOROLOGICAL
AND GEOGRAPHICAL CONDITIONS
ASSOCIATED WT1H VISIBILITY
IMPAIRMENT
• TO SELECT A REGION AND TIME
PERIOD SUITABLE FOR MODELING
AND/OR MODEL VALIDATION
FIGURE A-l. LOGIC FLOW AND ELEMENTS OF THE VISUAL RANGE DATA ANALYSIS
-------
> Pollutant emissions in the area are expected to
increase in the future as coal resources are utilized.
Our data analysis was initially directed toward characterizing the current
regional visibility (visual range) in the Northern Great Plains.
We began by conducting a telephone survey of NWS stations in the
Northern Great Plains that report visual range. Such stations measure
visual range by observing distant markers and reporting the distance to
the farthest marker (e.g., building, TV tower, hill, mountain) that is
visible at the time the observation is made. It is essential that several
markers be used so that visibility can be determined with some degree of
precision. For example, if an observation station had only one visibility
marker at 5 km, the observer could report only whether or not the marker
was visible; if it was, the visibility could nevertheless be 5, 10, 50,
100, or more km. Conversely, if the marker was not visible, the visibil-
ity could be 1, 2, 4, or even 4.9 km. Even if several markers were used
and the farthest marker were observed most of the time, only the worst
visibilities could be characterized well and no information could be pro-
vided about the visibility during most of the observations. This last situ-
ation aopears to be the case for the Northern 'ireat Plains.
Table A-l lists the NWS stations in the Northern Great Plains that
provided information regarding visibility observations. The visibility
data available from four of the NWS stations (Billings, Great Falls,
Cheyenne, Rock Springs) were ordered through the National Climatic Center.
At most of the stations in the flat terrain areas of North Dakota, South
Dakota, and Nebraska, the farthest visibility markers are located 40 km
or less from the station. Generally, the meteorologists at these stations
reported that they saw the farthest marker more than 90 percent of the
time and that natural causes (e.g., precipitation, fog, windblown sand,
and snow) accounted for virtually all of the reduction in visibility.
-------
TABLE A-l. DISTANCE TO THE FARTHEST VISUAL RANGE MARKERS
AT NWS STATIONS IN THE NORTHERN GREAT PLAINS
Station Location
Montana
Billings*
Great Falls
Helena
North Dakota.
Bismarck
Fargo
Grand Forks
Williston
South Dakota
Aberdeen
Huron
Rapid City
Sioux Falls
Nebraska
Chadron
Grand Island
Lincoln
Norfolk
North Platte
Omaha
Scottsbluff
Valentine
Wyoming
Casper
Cheyenne*
Lander
Rawling
Rock Springs*
Sheridan
Distance to
Farthest
Markers
(km)
97
121
64
20
32
16
40
56
48
56
18
24
31
32
7
12
24
40
19
97
145
113
97
177
48
NWS data ordered.
-------
Visibility markers more than 56 km from the station are almost
always terrain features, such as mountains, ridges, ancTbuttes. The dis-
tant visibility markers in Billings and Great Falls, Montana, are the
mountains in northwestern Montana; the distant markers in Cheyenne and
Rock Springs are the mountain peaks of the Rockies in Wyoming. .In flat
terrain, the distant markers are generally television towers or buildings
within about 55 km. Thus, in flat terrain, where pollutant transport and
diffusion are easiest to predict, available visibility data do not fully
characterize the magnitude and variations in visibility. In complex
terrain areas, where pollutant transport and diffusion is complicated by
*
drainage flows and terrain-channeled winds, visibility is better charac-
terized by NWS data. Thus, the availability of NWS data that is useful
in characterizing the full range of visibility was one reason for selec-
ting the Southwest rather than the Northern Great Plains as the study
region to investigate the causes of visibility degradation and the mete-
orological conditions that influence regional visibility.
3. SELECTION OF THE SOUTHWEST FOR DATA ANALYSIS
The Southwest has several unique characteristics that make it a
valuable region to study:
> It has several NWS stations at which long range visi-
bility observations are made.
> Additional visibility data are available from the
National Park Service, NOAA, and from monitoring pro-
grams conducted for industrial developments.
> Copper smelters there emit large quantities of S02«
Coal-fired power plants there emit large quantities
of fly ash, sulfur dioxide, and nitrogen oxides.
> It is in the prevailing downwind direction from a
major urban region (southern California), and it
contains several large urban areas (e.g., Las Vegas,
Phoenix, and Tucson) in an otherwise nonurban region.
-------
> It contains a large number of national parks, national
forests, wilderness areas, and other Class I areas
that have been tentatively designated by the Department
of the Interior as areas where visibility is important
and should be protected.
> Major energy developments, are planned for the area.
Figure A-2 is a map of the western United States showing the loca-
tions of NWS stations that have produced visibility data acceptable for the
Study of meteorological and anthrooogtnic visibility impairment. These data have
been obtained from the National Climatic Center. As noted above, the
visibility data available in many locations in the Northern Great Plains
are of limited value because the most distant visibility markers are less
than 56 km away. However, all of the 20 NWS stations shown in Figure A-2
use visibility markers farther than 64 km, thus making the data of much
greater value in characterizing the frequency distribution of visibility.
As Figure A-2 indicates, the region including Arizona, New Mexico, Utah,
Colorado, the southern portion of Wyoming, and the eastern portion of
Nevada is relatively well covered by available visibility data. Because
the NWS visibility observations are made at three-hour intervals and
because data are available for the period of January 1948 through December
1976, excellent documentation of the temporal as well"as the spatial dis-
tribution of visibility in the Southwest is available.
The NWS visibility data are supplemented by additional visibility
observations made since January 1976 by the National Park Service at 12-
locations in southern Utah, northern Arizona, and southwestern Colorado.
Each visibility observation is a measurement not only of the local atmo-
sphere, but of the atmosphere between the observer and the farthest
visible marker as well. Because visibility in the Southwest is commonly
greater than 100 km, the visibility observation stations in the region
form a comprehensive network for measuring the aerosol concentration
(scattering coefficient) of the atmosphere of the Southwest.
-------
LEGEND
1 MANDATORY FEDERAL CLASS I AREAS
^—'WHERE VISIBILITY IS IMPORTANT.
^^STATES NOT INCLUDED IN REGIONAL STUDY.
_ NWS STATIONS WHERE VISIBILITY
OBSERVATIONS ARE TAKEN.
POINT SOURCES EMITTING MORE THAN
• 30 TONS PER DAY OF SOX OR NOX OR
10 TONS PER DAY OF PARTICULATE MATTER.
+ POINT SOURCES EMITTING MORE THAN
200 TONS PER DAY OF SO .
SCALE
100 miles
•oan-»
100 200 kilometers
NWS WEATHER STATIONS
URBAN LOCATIONS
1. DENVER, CO
2. LAS VEGAS, NV
3. PHOENIX, A2
4. SALT LAKE CITY, UT
5. TUCSON, A2
NONURBAN LOCATIONS
6. ALAMOGORDO, NM
7. BILLINGS, MT
8. CHEYENNE, WY
9. COLORADO SPRINGS, CO
10. ELY, NV
11. FARMINGTON, NM
12. FT. HUACHUCA, AZ
13. GRAND JUNCTION, CO
14, GREAT FALLS, MT
15. PRESCOTT, A2
16. PUEBLO, CO
17. ROCK SPRINGS, WY
18. WINSLOW. AZ
FIGURE A-2. MAP OF THE WESTERN UNITED STATES SHOWING THE LOCATIONS OF
LARGE POINT SOURCES, MANDATORY FEDERAL CLASS I AREAS, AND
NWS STATIONS WHERE VISIBILITY OBSERVATIONS ARE MADE
-------
11
The Southwest is also of interest because of the nature and spatial
and temporal distribution of pollutant emissions. One unique feature is
that although most of the region is unpopulated and does not contain
anthropogenic sources of air pollutants, large quantities of pollutants
are emitted from relatively small areas within the region. Figure A-3
shows only four air quality control regions. (AQCRs) in the western United
States having emissions of particulate matter, sulfur dioxide, nitrogen
oxides, or hydrocarbons in excess of 300,000 tons in 1973. The San Francisco
Bay Area emitted 420,000 tons of hydrocarbons and 284,000 tons of nitrogen
oxides; metropolitan Los Angeles emitted 1,065,000 tons of hydrocarbons,
646,000 tons of nitrogen oxides, and 257,000 tons of sulfur dioxide; cop-
per smelters in southeastern Arizona and southwestern New Mexico emitted
2,191,000 tons of sulfur dioxide; and the Amarillo, Texas, area emitted
369,000 tons of hydrocarbons. The copper smelters in southeastern Arizona
and southwestern New Mexico contributed 44 percent of the SO^ emissions of
the entire western United States and 81 percent of the S0? emissions of a
four-state region of Arizona, New Mexico, Utah, and Colorado in 1973.
Table A-2 lists the pollutant emissions in the western United States
in 1973 by state and pollutant category (EPA, 1976a). Emissions from
California and Arizona dominate those of other states. Identification of
the causes of visibility degradation in the Southwest is simplified by
the existence of relatively small, Iodized areas that contain sources of
large pollutant emissions. Figure A-4 shows the directional distribution
of emissions within a 1400 km radius of a location in south central Utah,
weighted by the reciprocal of the distance. It is clear from the figure
that S02 emissions sources (copper smelters) are principally to the south-
southeast of this location and that few other pollutants are emitted from
that direction. Similarly, from the west-southwest a large source
(metropolitan Los Angeles) emits hydrocarbons and nitrogen oxides. To the
east of this location (in Oklahoma and Texas) are large emitters of hydro-
carbons and nitrogen oxides. Emissions from the Salt Lake City area cause
the small peak to the north-northwest of this location.
-------
FIGURE A-3. AQCRs IN THE WEST WHOSE EMISSIONS OF TSP, S0?, NO OR HYDROCARBONS EXCEEDED 300,000 TONS IN 1973
c. X
-------
TABLE A-2. POLLUTANT EMISSIONS IN THE WESTERN STATES
(10 tons per year)
(a) Ranking of Western States by Participate Emissions
(b) Ranking of Western States by SO Emissions
Rank State 1973 Emissions
rvanr.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Old LC
California
Nebraska
Colorado
Kansas
Washington
Oregon
Montana
New Mexico
Arizona
Nevada
Wyoming
North Dakota
Utah
Idaho
South Dakota
1 7/ -> till 1 93 1 UNO
535
301
232
214
184
148
134
132
123
119
87
85
81
75
60
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Arizona
California
New Mexico
Washington
Nevada
Utah
Montana
Kansas
North Dakota
Wyomi ng
Idaho
Nebraska
Colorado
Oregon
South Dakota
2052
540
426
350
342
183
132
97
80
70
56
55
48
42
15
-------
TABLE A-2 (Concluded)
(c) Ranking of Western States by NO Emissions
(d) Ranking of Western States by Hydrocarbon Emissions
1973 Emissions
1973 Emissions
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
California
Washington
Kansas
New Mexico
Oregon
Colorado
Nebraska
Arizona
Nevada
Montana
Utah
Wyomi ng
North Dakota
Idaho
South Dakota
1371
349
303
220
198
185
174
169
141
113
108
102
98
78
53
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
California
Nebraska
Washington
Kansas
Oregon
Arizona
Colorado
Montana
New Mexico
Idaho
Utah
South Dakota
North Dakota
Wyomi ng
Nevada
2115
379
337
337
290
242
225
198
143
119
103
85
72
68
53
-------
WNW
NW
NNW
Source: Based on data from EPA (1976a).
FIGURE A-4. DISTRIBUTION OF POLLUTION EMISSIONS WITHIN A 1400 km RADIUS OF A LOCATION
IN SOUTH CENTRAL UTAH WEIGHTED BY THE RECIPROCAL OF THL DISTANCE
-------
16
It is clear from this figure that the pollutant concentration in an
air parcel in the Southwest is expected to be a strong function of the
trajectory of the air parcel. If the parcel is transported from polluted
areas, such as Los Angeles* or Tucson-Phoenix, it is reasonable to expect
higher pollutant concentrations (and scattering coefficients) than those
for an air parcel transported over the clean, undeveloped areas of the
Southwest. As a corollary, if air is stagnant over pollution sources,
a buildup of pollutant concentrations can be expected; however, if air
is stagnant over clean, nonurban areas, the air can be expected to remain
clean (or become cleaner as pollutants are removed from the air by natural
processes). As is pointed out below, the concentrated and localized dis-
tribution of pollutant emissions sources should be helpful in determining
the causes of visibility reduction in the Hest.
Temporal as well as spatial variations in emissions are noteworthy
in the West. For example, emissions of hydrocarbons, nitrogen oxides,
and sulfur dioxide have been reduced significantly over the last few
years in Los Angeles County (LACAPCD, 1971). Sulfur dioxide emissions
from copper smelters in Arizona were reduced by a factor of 2 in the
period 1972 through 1976. If visibility in remote areas of the Southwest
is affected by anthropogenic sources of air pollution, then variations in
visibility can be expected to result from changes in such emissions.
The Southwest is also of interest because of the large coal-fired
power plants currently in operation, undergoing construction, or being
planned for the region. Since the beginning of its operation in the
1960s, the Four Corners power plant near Farmington, New Mexico, has
become a symbol of human impact on visibility in the Southwest because
of the plant's high particulate emissions rate. Newer power plants (e.g.,
the Navajo plant) have benefited from better particulate control technol-
ogy that reduce particulate emissions to the point where plumes are
*There are severe topographical restrictions on the transport of
pollutants out of the Los Angeles basin. Hence, although we do
not mean to imply that there is significant evidence for transport
from this area, we do not rule out the possibility of transport.
-------
17
almost clear; however, modern coal-fired plants emit larger quantities
of sulfur dioxide and nitrogen oxides, which have the potential for
causing visual impacts. Table A-3 lists the coal-fired power plants in
the Southwest currently in operation (indicated by an asterisk) and those
being planned. Although the coal-fired power plants emit sulfur dioxide,
current copper smelter SOp emissions are considerably larger than current
power plant SOp emissions.
4. THE DATA ANALYSIS
This section reviews the preliminary analysis of the visibility
data for the period 1948 through 1976 from eight NWS stations in the South-
west. The data were gathered from the following stations:
Station Period
Ft. Huachuca, AZ 10/54 - 07/71
Alamogordo, NM 01/49 - 12/70
Denver, CO 01/48 - 12/76
Grand Junction, CO 01/48 - 12/76
Farmington, NM 01/49 - 12/76
Ely, NV 01/55 - 12/76
Tucson, AZ 10/48 - 12/76
Las Vegas, NV 12/48 - 12/76
Phoenix, AZ 01/48 - 12/76
Prescott, AZ 01/48 - 12/76
Winslow, AZ 01/48 - 12/76
Rock Springs, WY 01/48 - 12/76
We'hdover, UT 03/50 - 12/76
Billings, MT 01/48 - 12/76
Cheyenne, WY 01/48 - 12/76
Dugway, UT " 12/49 - 12/70
Salt Lake City, UT 01/48 - 12/76
Great Falls, MT 01/48 - 12/76
Colorado Springs, CO 07/48 - 12/76
Pueblo, CO 07/54 - 12/76
-------
18
TABLE A-3. COAL-FIRED POWER PLANTS IN THE SOUTHWEST
State Name of Power Plant
Arizona ChoTla*
Coronado
Navajo*
Springerville
Colorado Arapaho*
Cherokee*
Commanche*
Drake*
Hayden*
Valmont*
Craig
Pawnee
Southeastern
R. D. Nixon
Rawhide
Nevada Harry Allen
Mohave*
Reid Gardner*
New Mexico Four Corners*
San Juan*
Utah Carbon*
Emery
Gadsby*
Garfield
Huntington Canyon*
Intemountain Power Project
Nephi
Warner Valley
Wyoming Naughton*
Jim Bridger*
Dave Johnston*
Laramie River
Location
Joseph City
St. Johns
Page
Springerville
Denver
Denver
Pueblo
Colorado Springs
Hayden
Boulder
Craig
Rangely
Ft. Morgan
Fountain
Wellington
Las Vegas
Bullhead City
Moapa
Farmington
Waterflow
Castle Gate
Castledale
Salt Lake City
Escalante
Huntington
Factory Butte
Nephi
St. George
Kemmerer
Rock Springs «
Glenrock
Wheat!and
Capacity
(MM)
620
1050
2409
312
250
801
700
288
430
282
1520
250
1000
1000
400
200
2000
1582
500
' 2175
1588
166
830
246
2000
860
3000
500
500
710*
2000
750
1500
Power plant currently in operation. "
t An additional capacity of 830 MW is planned.
-------
19
The visual range and the following meteorological data from these stations
were recorded at three-hour intervals:
> Wind direction
> Wind speed
> Temperature
> Relative humidity
> Atmospheric pressure (corrected to sea level)
> Total sky cover
> Ceiling height
> Occurrence of precipitation, fog, or smoke
In addition to the 2&-year record of surface meteorological data, we
obtained five years of upper air data used by Holzworth (1972) in his
mixing depth study of the United States. From these data, the following
parameters were obtained for the five-year period 1960 through 195/1:
> Average wind speed in the mixed layer
> Mixing depth
> Ventilation.
Thus we have a large visibility and meteorological data base with which
to determine the dependence of visibility on various meteorologocal condi-
tions. Table A-4 summarizes the sorting of the data from the 18
NWS stations in the West.
Of the meteorological conditions that cause or contribute to a reduc-
tion in visual range, precipitation is clearly one natural cause having a
significant impact. Figure A-5 illustrates that at Winslow, Arizona, which
is representative of other locations in the Southwest, precipitation signif-
icantly reduces visibility. Visibility during periods of precipitation is
-------
20
greater than 40 km less than 20 percent of the time, whereas visibility
during periods without precipitation is greater than 40 km more than 80
percent of the time. At Wins low, Arizona, precipitation was reported to
occur only 2.2 percent of the daylight hours; thus precipitation has a
small effect on the overall frequency distribution of visual range there.
TABLE A-4. SUMMARY OF DATA SORTING
Time Period Independent Variable
Yearly Year
1960-1964 Mixing height
Mixing layer wind speed
Ventilation
1948-1956 Precipitation
1957-1966 Surface wind speed
1967-1976 Surface wind direction
Atmospheric pressure
Relative humidity
Total sky cover
Season
Time of day
Fog is another natural cause of reduced visibility. At Winslow, fog
occurs 0.3 percent of the time and always reduces visibility to less than
10 km.
In subsequent data sortings, only the days without precipitation or
fog were used to calculate the frequency distribution of visual range as
a function of various parameters, thus eliminating the variability that
might occur by comparing "wet" years with "dry" years. However, since the
percentage of total daytime observations with precipitation is small
(2 percent) in the West, the frequency distributions would not have been
changed much by including them with the "no precipitation or fog" values.
-------
21
80
60
OJ
01
c
ro
to
3
VI
40
20
20
40
60
80
100
Percentage of Daylight Observations for Which Visual Range
Was Greater Than the Indicated Value
FIGURE A-5. EFFECT OF PRECIPITATION ON VISUAL RANGE AT
WINSLOW, ARIZONA, 1967-1976
-------
22
5. THE FREQUENCY DISTRIBUTION OF VISUAL RANGE IN THE WEST
Because of the nature of the NWS visual range observations, the data
must be carefully analyzed and interpreted. The visual range "measure-
ments" can be taken by observing whether or not a series of distant
markers is visible, and therefore the data can be used only to answer
questions such as: What is the frequency of visual range less than 64 km?
What is the frequency of visual range greater than 64 km but less than
97 km? How often is the visual range greater than 121 km? The record
of visual range observations can best be analyzed and interpreted by using
the cumulative frequency of occurrence of visual range greater than an
indicated value (or extinction coefficient less than a given value) as an
indicator. A location with high visibility is suggested by a high fre-
quency of occurrence of visual ranges greater than an indicated value. The
frequency of occurrence of visual range between two ranges can be obtained
by subtracting cumulative frequencies.
Figure A-6 shows the frequency distributions of visual range in 13
locations in the western United States on days without precipitation or
fog in 1976 based on National Weather Service observations. The data
points (indicated by circles) represent the cumulative frequency with which
markers at the indicated distances were visible at each location. Note that
the visual range was greater than 120 km more than half of the time at
Grand Junction, Pueblo, Cheyenne, Rock Springs, and Farmington. Although
distant markers were not available to confirm the finding, it appears by
extrapolation that the visual range at Winslow and Prescott was greater
than 120 km more than half of the time. The median (50 percentile) visual
ranges in the urban areas of the West (Salt Lake City, Phoenix, Denver,
Tucson, and Las Vegas) were considerably less than the nonurban visual
ranges. The highest visual ranges were observed in Grand Junction,
Colorado, where the most distant visibility marker at 145 km (90 miles)
was visible more than 51 percent of the time.
-------
160
140
120
100
E
.x
8.
80
60
40
20
WINSLOW, ARIZONA
PRESCOTT, ARIZONA
LAS VEGAS, NEVADA
PHOENIX, ARIZONA
TUCSON, ARIZONA
SALT LAKE CITY, UTAH
GRAND JUNCTION, COLORADO
PUEBLO, COLORADO
CHEYENNE, WYOMING
DENVER, COLORADO
ROCK SPRINGS, WYOMING
GREAT FALLS, MONTANA
FARMINGTON, NEW MEXICO
10 20 30 40 50 60
Cumulative Frequency (percent)
70
80
90
100
FIHURE A-6. FREQUENCY DISTRIBUTIONS OF VISUAL RANGE AT 13 WESTERN U.S. LOCATIONS
ON DAYS WITHOUT PRECIPITATION OR FOG IN 1976
-------
24
A better understanding of the causes of visibility impairment and
the frequency distribution of visual range can be obtained by plotting the
cumulative frequency of the extinction coefficient calculated from the
visual range by using the Koschmieder relationship:
r - 3.912
v~bext '
bext = bR + bsp + babs
Figure°A-7 shows the frequency distributions for 13 western loca-
tions. The upper bound on visual range (and the lower bound on extinction
coefficient) is suggested more strongly in Figure A-7 than in Figure A-6.
The extinction coefficients at nonurban NWS sites in the West appear to be
-4 -1
approaching 0.2 x 10 m (a visual range of 196 km, or 122 mi) as an
asymptote. This value of the extinction coefficient is more than twice
the Rayleigh scattering coefficient (at 0.55 pm). If the atmosphere were
completely-free of particles, the visual range would be 390 km or greater
depending on the elevation of the site (atmospheric pressure). Further
-4 -1
evidence that a lower bound of 0.2 x 10 m for the extinction coef-
ficient is representative is indicated by the data collected by Roberts
et al. (1975) in the Petrified Forest of Arizona (see Figure A-8). A
median extinction coefficient between roughly 0.3 x 10" m~ (a visual
range of 130 km) and 0.4 x 10" m" (a visual range of 98 km) appears to
be typical of nonurban locations,in the West.
It is instructive to consider the contribution of different atmo-
spheric components to the median extinction coefficient. Consider, for
example, the measured pollutant concentrations at the Grand Canyon in
1974, as shown in Table A-5. We computed scattering coefficients per unit
mass of sulfate, nitrate, and coarse mode particulate (TSP - [SO^] - [NO^])
using the "clean continental background" particle size distributions
»
reported by Whitby and Sverdrup (1978), and we multiplied these coeffi-
cients by the measured pollutant concentrations to estimate the median
-------
1.6
1.4
1.2
8 1.0
0.8
c 0.6
0.4
0.2
24 km
(15 pi)
(WINSLOW, ARIZONA
)PRESCOTT, ARIZONA
)LAS VEGAS, NEVADA
)PHOENIX. ARIZONA
)TUCSON. ARIZONA
)SALT LAKE CITY. UTAH
) GRAND JUNCTION. COLORADO
)PUEBLO. COLORADO
) CHEYENNE, WYOMING
) DENVER. COLORADO
)ROCK SPRINGS, WYOMING
) GREAT FALLS, MONTANA
)FARMINGTON, NEW MEXICO
65 km
(41 ml)
98 km
(61 ml)
140 km
(81 ml)
196 km
(122 ml)
391 km
(243 ml)
KJ
tn
10
20
30
40 SO 60
Cumulative Frequency (percent)
70
80
90
FIGURE A-7. FREQUENCY DISTRIBUTIONS OF EXTINCTION COEFFICIENTS RASED ON VISUAL RANGE OBSERVATIONS
AT 13 WESTERN U.S. LOCATIONS ON DAYS WITHOUT PRECIPITATION OR FOG IN 1976
-------
1.4
1.2
1.0
~ 0.8
0.6
0.4
0.2
33 km
(20 mi)
39 km
(24 mi)
49 km
(30 mi)
65 km
(41 mi)
98 km
(61 mi)
130 km
(81 mi)
196 km
(122 mi)
391 km
(243 mi)
ro
CT>
20
30
40 50 60
Cumulative Frequency (percent)
70
80
90
100
FIGURE A-8. FREQUENCY DISTRIBUTIONS OF EXTINCTION COEFFICIENTS BASED ON PHOTOGRAPHIC PHOTOMETRY
IN THE PETRIFIED FOREST, ARIZONA, IN 1973 AND 1974
-------
27
extinction coefficient for the Grand Canyon. We obtained a mediam
-4 -1
extinction coefficient of 0.26 x 10 m , which corresponds to a visual
range of'150 km. The median sulfate concentration of 1.9 pg/m accounts
for 41 percent of the total extinction, nitrate for 9 percent, and coarse
mode particles for 19 percent. The rest of the extinction is due to the
molecules of air (Rayleigh scattering) at an elevation of 7000 ft msl
(2100 msl).
TABLE A-5. COMPONENTS OF AVERAGE LIGHT SCATTERING
AT THE GRAND CANYON IN 1974
Component
Pure air
Sulfate
Nitrate
Coarse mode
Concentration
(yq/m3)
—
1.9
0.4
16
(10-4 m'Vpq/m3)
__
0.056
0.056
0.003
Dscat
0.080
0.106
0.022
0.048
Percentage
of Total
31%
41
9
19
Total
0.256
100%
It is also instructive to compute the extinction coefficient for
1 November 1974 in the Grand Canyon wh?n measured pollutant concentrations
were lowest for that year ([SOT] = 0.3 yg/m ; [NO;] = 0.1 yg/m ;
3
TSP = 5 yg/m ). On that day the computed extinction coefficient was
0.12 x 10
(200 mi).
4 -1
-
m , which corresponds to a visual range of more than 330 km
Figure A-9 shows the frequency distributions of extinction coefficients
calculated from visual range observations at 8 National Park Service (NPS)
sites in the Southwest in 1976. Because the most distant markers at these
sites are visible more than 60 percent of the time, it is difficult to
extrapolate to the cleanest conditions; however, the shapes of the NPS
curves suggest that the air in national parks in the Southwest is cleaner
-------
1.4
1.2
1.0-
0.8
0.6
0.4
0.2
Q) CANYONLANDS (ISLAND IN THE SKY)
(2) CANYONLANDS (HANS FLATS)
(3) BRYCE CANYON
(4) CEDAR BREAKS
© aEN CANYON
(t) WUPATKI
0 MESA VERDE
(8) ZION
-RAYLE1GH SCATTERING COEFFICIENT AT X = 0.55 urn and P = 0.8 atm
21) km
(17 mi)
33 km
(20 mi)
39 km
(24 mi)
19 km
[30 mi)
65 km
(41 ml)
98 km
(61 mi)
196 km
(12? mi)
391 km
(243 mi)
IX)
00
10
20
30 40 50 60
Cumulative Frequency (percent)
70
80
90
100
FIGURE A-9. FREQUENCY DISTRIBUTION OF EXTINCTION COEFFICIENTS BASED ON VISUAL RANGE OBSERVATIONS
AT 8 NATIONAL PARK SERVICE SITES IN THE SOUTHWEST IN 1976
-------
29
than that of the nonurban NWS sites. The calculated extinction coefficient
for the clean day at the Grand Canyon noted above also suggests this con-
clusion. Indeed, Char!son (1978) reported b measurements in Bryce Canyon
-4 -1
on the order of 0.02 x 10 m (giving a total extinction coefficient,
including Rayleigh scattering, of 0.1 x 10" m~ ).
A word of caution is advisable here. The visibility of distant
markers is essentially an indication of the pollutant concentration
(aerosol) integrated along the given sight path. Visual range estimates
based on point measurements (pollutant concentrations, nephelometry) may
therefore give different results from spatially integrated measurements
(observations of distant markers, telephotometry, photographic photometry)
if the ground-level ambient conditions at a given location are different
from those for the spatial average. Such differences could easily result
from greater coarse particulates near ground level, decreased or increased
relative humidity near ground level as a result of different lapse rates,
and decreased aerosol concentrations due to surface deposition. Also,
if there are significant inhomogeneities in the atmosphere aerosol because
of the presence of plumes, a point measurement will not be representative
of the spatial average.
Figures A-7, A-8, and A-9 suggest that most of the time in nonurban
areas in the West extinction coefficieias are extremely low, a condition
characteristic of clean, background continental air with background sul-
fate concentrations of 1 to 2 pg/m . At times, however, extinction coef-
ficients can be considerably higher. Higher extinction coefficients and
reduced visual range at nonurban areas appear to result primarily from the
hygroscopic growth of aerosol particles at relative humidities approach-
ing 100 percent. This topic is discussed further in Section 7.
/
6. YEARLY TRENDS IN VISUAL RANGE
Figures A-10 through A-27 show the yearly trends in visual range at
the 18 NWS sites in the West during the period from 1948 through 1976.
-------
30
100
Ol
S- (O
o >•
i*-
TJ
to CU
c -»->
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(O "O
> c
S_ i— I
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IO
u
Ol
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80
20
I
> 24 km
> 48 km
> 64 km
> 97 km
1950
1955
1960
Year
1965
1970
1975
FIGURE A-10. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR, IN
DENVER, COLORADO, 1948-1976
-------
31
lOOi
VI O)
C -I-1
o io
•i- O
rtj "O
> c
i. i—i
i/> a
JQ <0
O
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-P 0)
-C TJ
CD Ol
•r- O)
r— O
£|2
o
01
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-------
32
100
fO
I/)
•r—
>
0)
,2 80
S- 5>
O
4- tJ
O)
to -w
C TO
O (J
5^ 60
s_
C
CD
O
s-
(LI
O.
o:
20
CHANGES IN
-OBSERVATION
LOCATIONS
> 24 km
> 48 km
> 64 km
97 km
1950
1955
1960
1965
1970
1975
Year
FIGURES A-12. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR,
IN PHOENIX, ARIZONA, 1948-1976
-------
33
100
3
l/l
-C
0
.C OJ
3 =5
l/> 0)
C 4->
O ro
••- 0
4-> -r-
C
s- >-<
OJ
00 C
.Q to
o
•D
+-> OJ
iC T3
C> dl
.,- > x
IB LU
Q
O)
If- CT)
o c
to
01 o:
en
o
O)
Q.
80
60
40
20
I
> 48 km
> 64 km
1950
1955
1960
Year
1965
1970
1975
FIGURE A-13. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR, IN
SALT LAKE CITY, UTAH, 1948-1976
-------
34
100
to
3
1/1
-C
u
.
3 =>
t- (O
O 5>
l/l Q)
C •*->
O 03
•r- O
•»-> -r-
1T5 "O
> c
S- 1— C
0)
Ul C
J3 (O
O
T3
+J Qj
^ T3
cn > X
*- CD
O C.
«o
01 o;
CT>
ro
-t->
c
Ol
O
0)
D-
80
60
40
20
64 km
> 97 km
CHANGE IN
•REPORTING
PRACTICES
1950
1955
1960
1965
1970
1975
Year
FIGURE A-14.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR,
IN TUCSON, ARIZONA, 1949-1976
-------
35
to
3
-C 01
3 3
l/> OJ
C •!->
O (O
•i- O
-t-> -r-
« T3
> C
S- •— .
O)
(^ C
•t-> Ol
_c -o
IT) OJ
••- , X
R3 LD
O
Ol
0)
C
01
u
48 km
>64 km
89 km
>113 km
CHANGES IN
REPORTING
PRACTICES
I
1950
1955
1960
1965
1970
1975
Year
FIGURE A-15. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR,
IN ALAMOGORDO, NEW MEXICO, 1955-1970
-------
36
100
to
3
Ul
80
O)
J- (O
o >
<4-
T3
V)
O H3
•i- O
•(-> -i-
(O "O
> C
i- •-.
O)
1/1 C
J3 It]
-t-" O)
^ T3
cn cu
•i- Q)
i— (J
>, X
to uj
o
CD
4- O1
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«3
CD C£
C
at
o
QJ
a_
60
40
20
> 64 km
> 97 km
1.950
1955
1960
Year
1965
1970
1975
FIGURE A-16. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR, IN
BILLINGS, MONTANA, 1948-1976
-------
IB
OT
a:
1- IB
O >
•c
t/l 0'
C 4->
O 0)
c
o
I/I C
JD it
O
TJ
-t-> ai
en ai
••- > X
1C U)
o
ai
u- a>
o c
O)
re
C
U
U
$..
20
^.CHANGE IN OBSER-
VATION LOCATION
!
> 64 kin
> 105 km
1950
1955
1960
Year
1965
1970
1975
161 km
FIGURE A-17. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR, IN
COLORADO SPRINGS, COLORADO, 1948-1976
-------
38
CHANGES IN
REPORTING
PRACTICES
> 97 km
> 145 km
1950
1975
FIGURE A-18. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR, IN
CHEYENNE, WYOMING, 1948-1976
-------
39
100
ra
3
.c
u
Ol
S- no
O =>
4-
T3
) O)
C ••->
o C
S- I-H
QJ
00 C
-l-> O>
^ T3
O> Ol
•r- Q»
i— O
>> X
A3 UJ
O
Ol
>f- CD
O C
na
o> o:
en
(O
*J
c
o>
o
0)
Q.
80
60
40
20
CHANGE IN
REPORTING
PRACTICES
I
1950
1955
1960
Year
1965
1970
1975
FIGURE A-19.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE AS A FUNCTION OF YEAR, IN
ELY, NEVADA, 1953-1976
-------
40
100
3
I/)
o>
S- 03
O >
M-
-o
CO Ol
C 4->
O 03
•i- U
+> •<-
> X
ro UJ
O
01
4- D1
O C
ro
Ol OL
O1
03
Ol
O
Ol
Q.
80
60
40
20
T
CHANGE IN
/"OBSERVATION LOCATION
o: Q-
O =3
O I
o; o;
^ 48 km
> 64 km
>97 km
>12-l km
1950
1955
1960.
1965
1970
1975
Year
FIGURE A-20. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR,
IN FARMIN6TON, NEW MEXICO, 1949-1976
-------
39
100
s_ to
o >
M-
T3
l/> Ol
C •!->
o -I-
ro TD
> C
i- I-H
0)
co C
JD IO
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T3
•P 0)
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CD > x
to UJ
O
0)
If- O)
O C
1C
cu o:
01
(O
+j
C
0)
(J
t-
(U
Q.
80
60
40
20
CHANGE IN
REPORTING
PRACTICES
I
1950
1955
1960
Year
1965
1970
1975
FIGURE A-19.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE AS A FUNCTION OF YEAR, IN
ELY, NEVADA, 1953-1976
-------
40
T
I
o
h-H
00
I
CHANGE IN
OBSERVATION LOCATION
>48 km
>64 km
>97 km
>12-l km
1950
1955
1960
1965
1970
1975
Year
FIGURE A-20. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR,
IN FARMINGTON, NEW MEXICO, 1949-1976
-------
41
100
3
CO
u
•r-
-C O)
s- to
o >
to 0)
C •(->
O (O
80
£ £ 60
> C
S- i-i
01
00 C
•P OJ
i?!r 40
r— U
>, X
(O UJ •
0)
4- O)
o c
o> cc
20
c
ai
o
ai
o.
0
1950
CHANGE IN
REPORTING
PRACTICES
> 64 km
> 89 km
1955
1960
1965
1970
1975
Year
FIGURE A-21. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR,
IN FT. HUACHUCA, ARIZONA, 1954-1971
-------
42
TOO
80
S- o
O >
M-
T3
CO O>
C •»->
O -r-
ro -O
> C
J- 1-1
OJ
in C
jQ to
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X)
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CD QJ
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(1)
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QJ C£
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0)
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d)
O.
60
40
20
I
> 97 km
> 113 km
> 129 km
> 145 km
1950
1955
1960
Year
1965
1970
1975
FIGURE A-22. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A* FUNCTION OF YEAR, AT
GRAND JUNCTION, COLORADO, 1948-1976
-------
43
100
I/)
•1—
>
JC
o
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S- 0}
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M-
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ta T3
> c
J- •-.
V
CO C
XI 10
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o c
c
ai
o
80
60
40
20
> 64 km
> 97 km
> 121 km
1950
1955
1960
Year
1965
1970
1975
FIGURE A-23. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR, IN
GREAT FALLS, MONTANA, 1948-1976
-------
-C
u
O)
"3
-o
CO
o c
S- t-i
CD
to c
_Q io
o
T3
•4-> > X
cu
01
44
100
o>
c
(U
u
at
Q.
o:
80
60
40
20
> 64 km
> 105 km
1950
1955
1960
1965
1970
1975
Year
FIGURE A-24.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR, IN
PRESCOTT, ARIZONA, T948-1976
-------
45
100
S- 10
o =>
<+-
T3
to QJ
C 4->
O (O
•r- O
+J -r-
C
Ol
in c
JO ro
O
TD
4-> (U
iC T3
C1 O)
•!- > X
(O UJ
o
OJ
"4- 0>
o c
Q£
CT>
(O
4->
C
QJ
(J
(II
O.
80
60
40
20
CHANGE IN OBSERVA-
TION LOCATION
I I
> 48 km
> 64 km
> 97 km
> 113 km
> 129 km
> 145 km
1950
1955
1960
Year
1965
1970
1975
FIGURE A-25. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR, IN
PUEBLO, COLORADO, 1954-1976
-------
46
100
re
o
01
s- ro
O >
<*-
-a
i/l O)
c +->
o re
•i- O
+J •!-
re T3
> c
S- I-H
QJ
(^ C
.a re
O
T5
4-> O)
•!- ai
i— O
>, x
re LU
a
ai
4- en
o c
re
o.
80
60
40
20
MISSING DATA
> 64 km
1950
1955
1960
Year
1965
1970
1975
FIGURE A-26.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED
AN INDICATED VALUE, AS A FUNCTION OF YEAR, AT ROCK SPRINGS,
WYOMING, 1948-1976
-------
47
100
as
3
t/1
.C
(J
a>
u
(U
a.
80
60
O)
S- (O
O >
<4-
•o
(/) OJ
C *->
O rtJ
•i- U
4-> -t-
ID "O
> C
S- >-H
O)
to C
.a (o
O
-c-o 40
•at Q)
i— O
>, X
>O UJ
Q
ai
<*- en
o c
(O
ai o:
O)
20
> 48 km
> 97 km
CHANGES IN
REPORTING
PRACTICES
1950
1955
1960
1965
1970
1975
Year
FIGURE A-27.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE
EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF YEAR,
IN WINSLOW, ARIZONA, 1948-1976
-------
48
These figures are similar to those obtained by Trijonis and Yuan (1977)
with the following exceptions. First, our data base extends through
1976, whereas that of Trijonis and Yuan extends only through 1972. As
noted later, some significant upward trends in visual range occurred
during the period 1972 through 1976, suggesting that visibility is improv-
ing as pollution controls improve. Second, as noted earlier, we used days
in our analysis on which precipitation or fog did not occur to separate
out these obvious influences on visual range and to minimize the vari-
ability that would occur by comparing "wet" and "dry" years. Third, we
chose to plot the cumulative frequencies rather than visual range per-
centiles for two reasons: (1) Interpolation or extrapolation of data is
not necessary to plot cumulative frequency, and (2) cumulative frequencies
are in most cases more sensitive indicators of changes in visual range
than percentiles. Recognizing these differences in presentation, we
checked our results against those obtained by Trijonis and Yuan, and we
concluded that we are correctly describing the same data.
The trends in visual range for the urban sites (Figures A-10 through
A-14) offer some important insights into the anthropogenic causes of
visibility impairment. Figure A-10 shows that in Denver the gradual downward
trend in visual range changed abruptly in 1972 and that visibility has
improved since that year. This recent upward trend in visual range may
be the result of the control of automobile and point source emissions
during the last five years in that city.
Figure A-ll illustrates the history of visibility in Las Vegas. It
shows that the frequency with which a visual range greater than 105 km
is reported has increased over the years, indicating improving visibility.
However, a telephone interview with the meteorologist in charge at the NWS
station in Las Vegas revealed that observers in the past frequently did
not bother to report whether the most distant visibility marker was
visible because they felt that for aviation purposes no one needed to
know whether visibility was that good! Thus, these visibility data should
be treated with caution.
-------
49
One can, however, cursorily test whether a given visibility marker
was consistently observed and reported by checking the frequency with
which other visibility markers were observed. For example, as shown in
Figure A-12, the frequency with which 40 km visibility is reported at
Las Vegas has not changed significantly since 1951 even though reported
visibilities of over 100 km have increased. This discrepancy could be
interpreted as improper data collection (as appears to be the case here),
or the frequency of occurrence of visibilities less than 40 km could have
remained the same while the frequency of occurrence of visibilities greater
than 100 km increased.
The recent dramatic rpward trends in visual range in Phoenix, Salt
Lake City, and Tucson, as shown in Figures A-12 through A-14, may be the
result of decreased automobile emissions and the significant reduction in
SOp emissions from copper smelters in Arizona in recent years? as shown in
Figure A-28 (Arizona Department of Health Services, 1977). Also, the
significant increases in visual range in Phoenix and Tucson during the
years 1949, 1959, and 1967 to 1968 appear to be the result of reductions
in S02 emissions during copper strikes and periods of reduced copper
production (see Figure A-29).
o
The yearly visual range trends at lonurban sites are shown in Figures
A-16 through A-27. The visual range at Cheyenne, Wyoming, decreased
dramatically from 1963 to 1974 and increased in 1975 and 1976. The visual
range in Ely, Nevada, which is near a copper smelter, has varied signif-
icantly during the last decade; however, the significant increase in
visual range during the last four years may have resulted from the instal-
lation of a tall stack and the control of SOp emissions.
Figure A-20 shows the history of visibility in Farmington, New
Mexico, which is about 20 to 30 km northeast of the Four Corners coal-
fired power plant. The most significant decrease in visibility occurred
during the early 1950s, before the power plant was built, but it is not
clear what caused this decrease. Visibility improved until about 1967 and
-------
50
6000
PHELPS DODGE
(MORENCI)
PHELPS DODGE
(DOUGLAS)
PHELPS DODGE
(AJO
MAGMA (SAN MANUEL)
KENNECOTT HAYDEN
INSPIRATION
ASARCO (HAYDEN)
I
1972
1973
1974
1975
1976
Year
FIGURE A-28. YEARLY TRENDS IN S02 EMISSIONS FROM COPPER SMELTERS IN ARIZONA
-------
51
1.8
s_
to
-------
52
then decreased from 1967 to 1973; it has apparently been Improving since
1973. The years in which the coal-fired boilers at Four Corners began
operation are shown in Figure A-20. The start-up of Units 1, 2, and 3
had no noticeable effect on visibility in 1963 and 1964; indeed, visibility
improved in these years. However, when the large units (Nos. 4 and 5)
began operation during 1969 and 1971, respectively, the frequency of
visibilities over 121 km decreased. It is not clear whether these changes
in visibility were caused by the Four Corners plant. In fact, the most
distant visibility markers at the Farmington NWS station are the San Juan
fountains to the north. Thus, the plume from the Four Corners plant would
intersect the Farmington observer's sight path only when flow was southerly.
The visual range at Grand Junction, Colorado (Figure A-22), has
improved significantly during the last decade. Although the visual range
in Great Falls, Montana (Figure A-23), decreased significantly from 1948 to
1970, since 1970 visibility has improved. A gradual downward trend in
visual.range in Prescott, Arizona, was observed between 1948 and 1969;
however, since 1969 visibility has improved significantly. Conversely,
in Pueblo, Colorado, visibility appears to have improved until 1970, after
which it declined. There has been a slight downward trend in Winslow,
Arizona (Figure A-27).
Of the 16 NWS locations where long-term visibility data appear to be
accurate (the data at Alamogordo and Ft. Huachuca were erratic and did not
extend over the entire 29-year period) during the period 1948 through 1970,
visibility decreased at seven locations, remained relatively constant
(though with year-to-year variations) at eight, and improved at one. Since
1970, visibility has improved at twelve locations, remained relatively
constant at three, and decreased at one. Thus, the data suggest that
pollution control during the 1970s has reversed the downward trend in
visibility that was observed in many western locations in the 1950s
and 1960s.
-------
53
7. EFFECT OF RELATIVE HUMIDITY
Relative humidity was found to be the meteorological parameter having
the greatest effect on visual range in the western United States. In
most of the 18 locations studied, the frequency of good visual range
decreased significantly with increasing relative humidity. The effect
was expected because the hygroscopic growth of aerosol particles such as
sulfate (see Figure A-30) has been known and well documented for many
years.
MIBC
SEmiLt.
IJOOPST
RELATIVE HJUOri. H,
WRI Al.UOCNft.CALf
6OPOT, IUtS.JlSEPT.71
4IK81MT ALR03X
oc»*/t».ca.o
f> *) to «j I I
Pfl.aiivr MAOTV.M,
Source: Covert, Charlson, and-Ahlquist (1972),
FIGURE A-30.
EFFECT OF RELATIVE HUMIDITY ON b. OF AMBIENT AEROSOL
sea \.
Figures A-31 through A-48 show the effect of relative humidity on
visual range at each of the 18 NWS locations. Visual range data were
sorted into 10 relative humidity groups (0 to 10, 10 to 20, ..., 90 to
100 percent) and grouped by decades (1948 through 1956, 1957 through 1966,
-------
54
100
80
S-
o
to
c
o
•r-
4->
03
CT>
O) XI
CO O)
JQ Ol
O 0
X
CT (1)
•r- C7
O 3
to
OJ T-
C
o>
o
0)
CL
20
1948-1956
1957-1966
1967-1976
JULY 1967-MARCH 1968
(COPPER STRIKE)
i i i i I
20 40 60 80
Relative Humidity (percent)
100
FIGURE A-31. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT DENVER, COLORADO
-------
55
100
80
S-
o
4-
(/> E
•2 00
>
s_
-------
56
100
o
•r-
£
80
I
> E
C -*
o
m
60
OJ T3
10 O>
.O CJ
o o
X
CD O>
•i- CD
*>.« 40
-------
57
100
80
C -^
o
4-> vo
>-o 60
S- O)
QJ "O
(O 0)
.D CU
C O
X
CT 0)
•r- CT
o 3
10
0) ••-
40
rtJ
c
OJ
(II
Q.
20
1957-1966
1967-1976
JULY 1967-MAR'CH 1968
(COPPER STRIKE)
20 40 60 80
Relative Humidity (percent)
100
FIGURE A-34. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT SALT LAKE CITY, UTAH
-------
58
TOO
80
CJ
o
4-
to E
C -ii
o
•^* r^«
+J Ol
IS 60
i/> O)
^ Ol
O (J
X
CT) OJ
•^ CT.
- ^
40
t- o
O 3
w
Ol T-
CT, >
(O
+->
C
S 20
\
V
x\ ' ^
X
\
— • 1948-1956
— 1957-1966
1967-1976
JULY 1967-MARCH 1968
(COPPER STRIKE)
20 40 60
Relative Humidity (percent)
80
\
100
FIGURE A-35. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT TUCSON, ARIZONA
-------
59
100
80
O
S-
o
10
C
o
(O
t "S 60
O) "O
to O)
J3 QJ
O <->
X
en
-------
60
100
i-
o
4-> CTl
O) ~O
> a;
-Q O)
o o
X
a> ai
•i- O)
^- c
re o:
Q
14- ro
O 3
80
60
40
c
ai
u
20
1948-1956
•1957-1966
•JULY 1967-MARCH 1968
(COPPER STRIKE)
20 40 60
Relative Humidity (percent)
80
100
FIGURE A-37.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT BILLINGS, MONTANA
-------
100
.c
•r—
_c
3 80
s-
o
4-
O Lf)
ht Observati
Exceeded 14
en
o
Oi QJ
•r* O^>
"i'J ^o
re oc
Q
4- ro
O 3
O) •!-
(O
c
S 20
o
s_
QJ
Q.
Q
i i ii 1 1 i I 1
i— —
\1 e\n n i ncr
• i yio- i yob
\ 1957-1966
~ ^ ^ 19fi7 117fi
: ^,
\ \
^ x\ 'x ^\
x\ \ x\
\ \ \
X \ x
\ x x\
\^ \ \
1948-1956 ^-^^ \ \
1957-1966 ^X^ X \
1967-19/b \^^ \ \
^^'^"-v^^'X .'-'
Ill 1 1 1 1 ^ — . 1
0 20 40 60 80 10
Relative Humidity (percent)
FIGURE 38. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 145'km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT CHEYENNE, WYOMING
-------
62
100
s-
o
10 -^
c
O LD
•r- O
•4-> I
(TJ
> T3
S- O)
OJ T3
10 O)
_Q Ol
O (J
X
CD QJ
•r- CD
r— C
>, (O
80
60
40 -
C
-------
63
100
s-
o
80
C
o
CM
Q) "O
CO Ol
-d O.'
O LU
-C
O> OJ
•r- C
O
-------
64
100
80
o
4-
E
l/l -i<:
c
O i—
•i- CVJ
•!-> i —
IB
> -O
S- 0}
0) T3
l/> OJ
_Q QJ
O O
X
•»-> LU
^:
en 0)
•i- CTi
i— C
>, 03
(O o:
ai T-
c
OJ
o
S-
O)
CL
60
40
20
1948-1956
1957-1966
1967-1976
JULY 1967-MARCH 1968
(COPPER STRIKE)
20 40 60
Relative Humidity (percent)
80
100
FIGURE A-41.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 121 km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT FARMINGTON, NEW MEXICO
-------
65
IUU
u
.c
3 80
S-
o
i/i E
c .*
o
•r- O1
4-> 00
£"S 60
Q> T3
) O)
JD a)
O U
X
a. a>
•r- OT
i— C
|)540
i. _.
O 3
0) -i-
(O
QJ « ^
u 20
OJ
Q.
o
i i i i I i i i i
-
0
- _
^.
— ^Xs". ° —
' V
_ ^ '-^«. ^^
*^* -*^ ^*v'** " ^^ •
^-^ '\
\ \
\ \
^Ss^^ \
" — -^ . \ \
^ — \ ^Cix^!. ^
~ -^^ ^s^ N^\ \
"^*^ ^ ^*^ \
1948-1956 ^Ox^-^V..^
1957-1966 ' " >;\^\T>_ ~
•\c\c-i -\n-ic \ \
JULY 1967-MARC1: 1968 • \ ^ -
(COPPER STRIKE) \
\
ill i i i i i i '
0 20 40 60 80 TO
Relative Humidity (percent)
FIGURE A-42.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 89 km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT FT. HIJACHUCA, ARIZONA
-------
66
100
80
s_
o
to
C
O
to
> "° en
s-
o u
x
+•> UJ
.c
c-
Q.
20
1948-1956
1957-1966
1967-1976
JULY 1967-MARCH 1968
(COPPER STRIKE)
20 40 60 80
Relative Humidity (percent)
100
FIGURE A-43. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 113 km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT GRAND JUNCTION, COLORADO
-------
67
100
o
S-
o
80
C -*
o
•«-> CTi
ID! 60
00 O)
J2 (V
O O
X
•(-> UJ
x:
C7. OJ
•i- CT:
r- C
w1^ 40
O 3
to
-------
68
1948-1956
1957-1966
1967-1976
JULY 1967-MARCH 1968
(COPPER STRIKE)
20 40 60
Relative Humidity (percent)
FIGURE A-45.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 105 km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT PRESCOTT, ARIZONA
-------
69
100
80
s_
o
to
>
i-
Qj -O
in O)
JD O)
O O
X
4-> LU
JZ
a. ai
•r- CD
i*- e
o 3
Ol -r-
CT
(O
60
u
at
Q.
20
1957-1966
• 1967-1976
JULY 1967-MArtCH 1968
(COPPER STRIKE)
20 40 60
Relative Humidity (percent)
80
100
FIGURE A-46. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 113 km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT PUEBLO, COLORADO
-------
70
100
80
c
o
re
*• v en
CD -o bO
tO O)
o o
X
+J UJ
-C
CT) QJ
•i- CD
i— C
>> re
40
o
a; -
re
c
-------
71
100
-C
o
.80
) E
C -i£
o
•i- r-~
4-> CTl
(O
> T3
S- O)
O) "O
uo O)
J3 QJ
•r- CD
r— C
>> "3
(O C£
O
C
01
o
s_
0)
Q.
60
40
20
1948-1956
1957-1966
1967-1976
JULY 1967-MAKCH 1968
(COPPER STRIKE)
20 40. 60
Relative Humidity (percent)
80
100
FIGURE A-48. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF RELATIVE
HUMIDITY, AT WINSLOW, ARIZONA
-------
72
1967 through 1976). For selected locations data for the period of a copper
strike (July 1967 to March 1968) were displayed on a separate curve. As these
figures indicate, relative humidity has a strong effect on visual range,
yet the relative humidity dependence varies significantly from location
to location, suggesting that the composition of the aerosol is a function
of location. For example, in most locations, the frequency of good visi-
bility decreases monotonically with increasing relative humidity. However,
in Billings and Great Falls, Montana, visibility increases with increasing
relative humidity in the range 0 to 30 percent. The reason for this
relationship is not clear; perhaps the increase is the result of more wind-
blown dust at very low humidities. The dependence on relative humidity
in Las Vegas is different from that of other locations: A very sharp
reduction in visual range occurs at relative humidities above 70 percent,
suggesting the presence of an aerosol consisting of a deliquescent salt
such as ammonium sulfate. .Phoenix differs considerably from other locations
in that visual range is almost independent of relative humidity, a condi-
tion that could be explained if the aerosol were constituted of hydrophobic
organics. However, the dramatic increase in visibility in Phoenix during
the copper strike suggests that a large fraction of the aerosol there is
sulfate. Significant improvements in visual range resulted from the cut-
back in SOp emissions from the copper smelters during 1967 and 1968.
e •
In addition to the dramatic improvements in visibility at the loca-
tions near the smelters (e.g., Phoenix, Tucson,'Ely, and Ft. Huachuca),
significant improvements were observed at locations distant from the
smelters (e.g., Las Vegas, Alamogordo, Farmington, Grand Junction,
Prescott, Pueblo, and Winslow). Our tentative conclusion is that visual
range is impaired at locations more than 400 km away from the emission
sources, which is consistent with the regional modeling results and with
the observed low sulfate formation rates in clean, dry environments. The
effects of SO emissions from copper smelters on visual range are discussed
A
further in subsequent sections of this appendix.
-------
73
It is clear from both a fundamental and phenomeiiological view that
relative humidity has a strong effect on the mass of the liquid water
associated with the accumulation mode of aerosol sulfate and nitrate and
hence on the scattering coefficient and the visual range. Indeed, the
strong dependence of scattering coefficient on relative humidity suggests
a possible explanation for the hyperbolic shape of the scattering coef-
ficient cumulative frequency curves shown in Figure A-7. Note that the
frequency distribution curve is flat until the cumulative frequency approaches
100 percent, and then the extinction coefficient increases dramatically.
The hyperbolic shape. of the cumulative frequency curve suggests a mathematical
relationship similar to the relationship of scattering coefficient to
relative humidity (RH) for a fixed mass concentration of pollutant (i.e.,
sulfate). Several investigators (e.g., Trijonis and Yuan, 1977) found
through multivariate analysis that the relative humidity dependence of
b can be described as follows:
bsp-SO| K1
=
-4 -1 3
where K, for Salt Lake City, for example, was found to-, be 0.024 x 10 m /yg/m .
A similar expression holds for nitrates.
We found that at the 18 NWS sites studied relative humidity is related to
its cumulative frequency as follows:
1 - RH = (1 - x)n
where n = 0.45 ± 0.10.
If we assume that the sulfate concentration at a given location is
independent of the relative humidity at a given time (which is a reason-
able assumption, particularly for locations distant from major SOo
emission sources) and that the concentration of coarse mode particulate
matter is also independent of relative humidity, we can combine the above
two expressions with an expression for total extinction:
-------
74
ext R sp-coarse sp-accumulation
0.1
(0.024)
(1
N
-x)°
+ XNQ-)
*5 /
.45
k<
m
If we substitute into this formula the values that were used earlier
in the 1974 Grand Canyon example for the median concentrations of coarse
mode, sulfate, and nitrate aerosol mass of 16, 1.9, and 0.4 ug/m , we
obtain the following expression for b t as a function of cumulative
frequency:
bext =
0.148
0.053
(1 - x)
0.45
io
-4
Using this formula, we predicted a lower bound b of approximately
_4 _i exi:
0.2 x 10 m . This discussion suggests an approach to fitting the
frequency distributions of extinction coefficient with an equation of
the form:
bext(x) =
N-
(1 - x) 3
8. EFFECT OF CLOUD COVER
The effect of cloud cover on visual range is summarized in Figures
A-49 through A-66. Although visual range decreased slightly with increas-
ing cloud cover, the dependence is not as dramatic as it is with relative
humidity. One would expect that cloud cover and relative humidity are
interrelated, so that the dependence on cloud cover results from the
dependence on realtive humidity.
If sulfate formation were entrained in clouds, then a stronger
dependence of visual range on cloud cover might occur. However, at
-------
75
100
i/i
c r--
o en
ZJ -a
T3 O)
> ~o
s- oi
O) O)
l/l U
ja x
o uj
4-> O)
.C D)
Cl C
•r- n3
i— o:
O re
ZJ
M- on
O -i-
>
0)
O)
o>
u
O)
CL
80
60
40
20
1948-1956
1957-1966
1967-1976
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-49. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF CLOUD COVER,
AT DENVER, COLORADO
-------
76
s_
o
00
T3
S- <1J
O) QJ
on O
-0 X
O LU
-P QJ
J= C7i
01 C
•i- <0
ro
o>
en
re
Ol
(J
O)
Q.
100
80
60
40
20
1948-1956
1957-1966
1967-1976
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE 50. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 48 km, AS A FUNCTION OF CLOUD COVER,
AT LAS VEGAS, NEVADA
-------
77
(/>
c
o
OJ
re
>
S-
O) (LI
CO Hi
.n <_>
o x
UJ
-(-)
-C O)
O) C:
•r- C
100
O I/)
D5
(O
ai
u
CD
Q.
80
60
40
20
1948-1956
1957-1966
1967-1976
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-51. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF CLOUD COVER,
AT PHOENIX, ARIZONA
-------
78
100
80
s-
o
O
fO T3
> QJ
S- T3
O) QJ
) QJ
.O (J
O X
^ O)
CT> O)
•i- C
i — ro
60
40
O i—
to
4- 3
O LO
QJ =>
CD
ro
4->
C
QJ
U
QJ
Q_
20
1948-1956
1957-1966
1967-1976
_L
_L
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-52. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF CLOUD COVER,
AT SALT LAKE CITY, UTAH
-------
79
100
o
•r- 0)
-C 3
3 •—
re
s- >
o
^ T3
cu
l/l +J
-4-> T3
IT3 C
> >— i
S-
oi c:
10 re
.a
o ~o
cu
-(-> T3
-c at
CD ai
•r- O
t— X
>,UJ
(O
o ai
en
^ c
o re
a:
O)
CDr—
re re
-I-) 3
c >
ai ••-
o >
(D
a.
80
60
40
20
1948-1956
1957-1966
1967-1976
_J
_L
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-53. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF
CLOUD COVER, AT TUCSON, ARIZONA
-------
80
100
4- E
-X
in
c *d-
O vo
+-> -a
n} Q;
> -O
S_ QJ
(U OJ
l/> U
.0 X
O UJ
4-> QJ
-C CT1
cn c
•r- fO
^- DC
QJ
cn
c
Ol
o
s_
QJ
Q.
80
60
40
20
1949-1956
1957-1966
1967-1976
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-54. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF CLOUD COVER,
AT ALAMOGORDO, NEW MEXICO
-------
-C
o
I/I
c r^
O CTl
O)
-O
01
ro
>
i-
O>
I/I
J3 X
O LU
•*-> O)
^: 01
01 c
O T-
>
OJ
01
JO
•4->
c
o>
u
s_
QJ
Q.
81
100
80
60
40
20
1948-1956
1957-1966
1967-1976
_L
1-50
51-90
91-100
Cloud Cover (percent)
FIGURE A-55. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF CLOUD COVER,
AT BILLINGS, MONTANA
-------
82
100
s-
O E
1/1 un
c -o
s- o;
Ol Ol
l^ U
JO X
o uj
+-> 0)
.c cr>
en c
•i- (O
.— QC
Q (O
3
4- l/l
O •!-
>•
O)
CT>
(D
4->
C
0)
o
s-
01
O-
80
60
40
20 -
1948-1956
1957-1966
1967-1976
_L
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-56.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 145 km, AS A FUNCTION OF CLOUD COVER,
AT CHEYENNE, WYOMING -
-------
83
01
c Ln
o o
0)
S- T3
ai cu
(/J O>
J3 U
o x
LU
en en
Z3
to
O)
O)
(O
•t-)
C
O)
(J
s_
QJ
a.
TOO
80
60
40
20 - ._
1948-1956
1957-1966
1967-1976
_J
_L
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-57. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 105 km, AS A FUNCTION OF CLOUD COVER,
AT COLORADO SPRINGS, COLORADO
-------
84
100
o
•*- E
.^
i/l
C CM
O r--
ro -o
S- QJ
QJ O)
l/l U
J3 X
O LU
4-> QJ
-C O>
cn c
•r- tT3
f— o:
>)
(^ r~
Q 03
3
4- i/l
O -r-
i>
O)
Ol
13
O)
u
o>
Q.
80
60
40
20
1953-1956
1957-1966
1967-1976
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-58. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 72 km, AS A FUNCTION OF CLOUD COVER,
AT ELY, NEVADA
-------
85
100
to
C r-
O CM
ro -O
> cu
S_ T3
OJ OJ
CO O)
JQ O
O X
UJ
4J
^ 0)
Oi cn
•i- C
re
o i—
ra
4- 3
O LO
OJ >
01
c
a>
a>
a.
80
60
40
20
1949-1956
1957-1966
1967-1976
_L
_L
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-59. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 121 km, AS A FUNCTION OF CLOUD COVER,
AT FARMINGTON, NEW MEXICO
-------
86
100
u
1/1
c
O
(O (U
> -o
S- C1J
OJ O)
l/l O
J3 X
o uj
-(-> O)
-C 'C71
en c
• i- to
r— a:
>-,
re i—
a •
OJ
cn
c
QJ
o
s_
a>
D-
80
60
40
20
1954-1956
1957-1966
1967-1971
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-60 PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF CLOUD COVER,
AT FT. HUACHUCA, ARIZONA
-------
87
100
C 1^
O cr>
4-> T3
(O O)
> -o
s- d)
Ol O)
10 O
-O X
O LU
4-> O)
Ol
O)
(B
o:
(0 r-
4-
O -
cu
CD
(O
+J
c
Ol
o
s_
01
Q.
80
60
40
20
1948-1956
1957-1966
1967-1976
_J
_L
_L
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-61. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF CLOUD COVER,
AT GRAND JUNCTION, COLORADO
-------
88
100
1/1
c r^
o O>
•r—
4-> -O
ra OJ
> -O
S- QJ
QJ OJ
Ul O)
^ DI
O) C
•i-
i— Qi
>»
03 i—
Ol
03
O)
O
OJ
Q.
80
60
40
20
1948-1956
1957-1966
1967-1976
_L
_L
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-62. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF CLOUD COVER,
AT GREAT FALLS, MONTANA
-------
89
100
10
c in
o o
re T3
> OJ
s- -o
QJ QJ
uo QJ
-Q
01
re
QJ
U
QJ
D.
80
60
40
20
1948-1956
1957-1966
1967-1976
_L
_L
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-63 PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 105 km, AS A FUNCTION OF CLOUD COVER,
AT PRESCOTT, ARIZONA
-------
90
M- E
-^
(/I
c r^
o 01
rO O)
> -O
1- OJ
QJ
.C 01
O) C
•i- (O
i— a:
4- LO
O •!-
s»
O)
en
13
•4-J
c
OJ
O
s_
QJ
a.
100
80
60
40
20
1954-1956
1957-1966
1967-1976
JL
_L
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-64. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF CLOUD COVER,
AT PUEBLO, COLORADO
-------
91
100
4-> T3
(O O)
> T3
!- 0)
O) CD
in (J
J3 X
O UJ
•*-> QJ
.c cn
cr> c
•r- (O
r— o:
>>
(O r-
Q ro
-------
92
100
c r-»
O CTl
+J -O
fC O)
> T3
S- (!)
QJ Ol
\Si O
XI X
O LU
•)-> O)
^ 01
o> c
•i- (O
r— Qi
>l
03 r—
Q ro
Ol
CTl
O)
O
S-
01
D-
80
60
40
20
1948-1956
1957-1966
1967-1976
_L
_L
1-50 51-90
Cloud Cover (percent)
91-100
FIGURE A-66. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF CLOUD COVER,
AT WINSLOW, ARIZONA
-------
93
Phoenix, Salt Lake City, Tucson, and Ely, which are located near
copper smelters that emit large quantities of SOp, there is not a strong
dependence on cloud cover.
Cloud cover may cause a reduction in visual range simply by obscuring
the distant visibility marker, a condition that would occur if, for example,
the marker were a mountain.
9. EFFECT OF BAROMETRIC PRESSURE
Figures A-67 through A-84 show the effect of barometric pressure on
visual range at the 18 NWS locations. At most locations a reduction in
visual range was observed at low atmospheric pressures; this effect appears
to be caused by the high relative humidity and cloud cover associated with
lows. Conversely, highs are associated with dry, clear skies.
However, stagnation conditions are also associated with high pressure
systems, and therefore, one might expect reduced visibility during highs
in an area where the pollution emission density is large. Such an effect
was observed only at Salt Lake City (Figure A-70), Ely (Figure A-76),
Grand Junction (Figure A-79), and Pueblo (Figure A-82). Ely and Salt Lake
City are near large copper smelters; drring a high, pollution may be
trapped in a stagnating air mass, thus decreasing visual range. Although
similar results might be expected at Denver, Las Vegas, Phoenix, and Tucson,
such effects were not observed. The effect of atmospheric stagnation and
ventilation was studied directly by analyzing the dependence of visual
range on ventilation, which is reported in Section 10.
10. EFFECT OF VENTILATION
Ventilation, which is the product of the mixing depth and the average
wind speed in the mixed layer, is a measure of the dilution capacity of
the atmosphere at a given location and time. The mixing depth and wind
speed data that were developed by Holzworth (1972) for several locations
-------
94
100
S-
£ E
1/1
O CTl
TO QJ
> -o
s-
-------
95
100
Ol
t- >
o
M- -O
O)
l/> 4->
C to
O (J
•r— *^
•!-> -0
re c
> 1— «
QJ C
to ,LU
to
O (1)
O)
M- C
O ro
QC
Ol
cn
ro
-(->
C
OJ
CD
Q.
80
60
40
20
990
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-68 PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED INDICATED VALUE, AS A FUNCTION OF
BAROMETRIC PRESSURE, AT LAS VEGAS, NEVADA
-------
96
TOO
s_
o
•4-> T3
m oi
> T5
S- 01
QJ Ol
t/> U
J3 X
O UJ
0>
o:
O (T3
QJ
en
c
oi
u
i.
QJ
Q.
80
60
40
20
990
•— — • 1948-1956
1957-1966
1967-1976
I
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-69. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT PHOENIX, ARIZOiNM
-------
97
TOO
o
.c
3
<£ E
1/1
O VO
ra T3
S- 01
QJ Ol
to O
_Q X
o uj
-l-> QJ
-C CD
O) C
•r- (O
r- o:
4- 00
O •!-
en
re
(J
L.
O)
Q.
80
60
40
20
990
' 1948-1956
1957-1966
1967-19^5
I I
1000 1010 1020 1030
Barometric Pressure (millibars)
1040
FIGURE A-70. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT SALT LAKE CITY, UTAH
-------
98
100
s-
o
> -o
S- O)
QJ
-C O)
C7> C
• i- re
ro i
O
H- in
O T-
O)
en
QJ
o
i-
O)
Q-
80
60
40
20
990
1948-1956
1957-1966
1967-1976
I
_L
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A.-71.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT TUCSON, ARIZONA
-------
99
TOO
1/1
C
o
to o
> T3
S- O)
OJ QJ
1/1 (J
JO X
O LU
-(-> O)
^ cn
CD c
•i- fO
m i
Q
4- l/l
O -r-
O>
C
O)
0
S,
80
60
40
20
990
1949-1956
1957-1956
1967-19/0
I
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-72.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT ALAMOGORDO, NEW MEXICO
-------
100
100
-C
(J
s_
o
to
c r^
o 01
•r—
+-> -o
03 O)
> -o
S- 01
QJ <1J
00 O
_0 X
C LiJ
4= O)
CD C
•r-
OJ
en
13
QJ
O.
80
60
40
20
1948-1956
1957-1966
1967-1976
J
990
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-73. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT BILLINGS, MONTANA
-------
101
100
o>
— rO
£-0
01
jj
I/) ^^
^ ^D
.2"
4-> "O
>~
Ol
">
o
O)
-
en oi
•t- 0
i— X
>,uj
ITS
cn
>4- C
o «3
O)
CTlr-
ro ro
C i/i
O) ••-
O >
s_
(U
Q.
80
60
40
20
V
/
-• 1948-1956
-1957-19S6
-1967-19/5
I
990
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-74.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED AN INDICATED VALUE, AS A FUNCTION OF
BAROMETRIC PRESSURE, AT CHEYENNE, WYOMING
-------
102
100
l/l
c in
o o
> QJ
S- T3
O) O)
in O)
J3 O
o x
UJ
-t-J
.C O)
CD C7>
ro
O .—
fO
4- 3
O I/)
cu >
cr>
03
0)
o
01
D.
80
60
40
20
1948-1956
1957-1966
1967-1976
990
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-75. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 105 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT COLORADO SPRINGS, COLORADO
-------
103
100
1/1
C CSJ
O f-s.
> "O
i- cO>
,
fO t—
O fO
O -i-
O)
C71
Ol
u
OJ
Q.
80
60
40
20
99.0
1953-1956
1957-1P66
1967-V.76
I
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-76. PRECENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 72 km. AS A FUNCTION OF BAROMETRIC
PRESSURE, AT ELY, NEVADA
-------
104
100
1/1
c ,
O
> O)
*- T3
0) QJ
^= (LI
CD O1
•r- C
O r—
03
4- 3
O to
>
CD
C
Ol
(J
S-
Ol
D.
80
60
40
20-
990
1949-1956
1957-1966
1967-1976
_L
_L
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-77. PERCENTAGE 9F DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 121 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT FARMINGTON, NEW MEXICO
-------
105
100
(0 O>
> -o
S- OJ
Ol Ol
I/) (J
-O X
O UJ
i— Qi
>,
03 i—
Q (O
O -i-
OJ
en
c
OJ
u
i.
O)
a.
80
60
40
20
1954-1956
1957-1966
1967-1C71
I
990
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-78. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT FT. HUACHUCA, ARIZONA
-------
106
100
O CT>
•r—
-t-> -a
TO O)
> TD
S-
D-
80
60
40
20
990
1948-1956
__ 1957-1966
1967-1976
j
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-79. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT GRAND JUNCTION, COLORADO
-------
107
100
o
•r—
.c
s-
o
in
c r-~
O CTi
to o
> T3
S_ QJ
CD Ol
I/I (J
^a x
O IJJ
-p 01
^ en
cn c
•r- ro
•— Di
O (D
O •!-
O>
CD
C
cu
o
i.
Ol
Q-
80
60
40
20
990
•— 1948-1956
1957-1966
1967-1976
l
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-80.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT GREAT FALLS, MONTANA
-------
108
100
u
S-
O E
1/1 LT>
c o
O r-
QJ
OJ O>
l/> O
.O X
O UJ
•«-> 0)
j= en
en c
•i- (T3
r— Oi
fO t—
o ro
O)
CD
(O
+->
c
O)
o
s_
(U
a.
80
60
40
20
990
1948-1956
1957-1966
1967-1976
I
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-81. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 105 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT PRESCOTT, ARIZONA
-------
109
100
o
c: r^
o cr>
•t—
4-> -a
ro ai
> -o
i- OJ
CD 0)
to u
JO X
O UJ
4-1 ai
j= a>
CD C
•i-. It!
r- a:
>i
(0 i—
4- 01
O -r-
O)
CT)
c
(U
-------
no
100
.c
o
to
c
O
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> -o
s- d)
O) O)
1/1 u
J3 X
O UJ
+J O)
-E CT)
CT) C
•i- ro
t— Qi
M- ul
O -r-
tu
en
c
a)
u
S-
o;
D.
80
60
40
20
J_
1948-1956
1957-1966
1967-1976
I
_L
990
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-83.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 64 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT ROCK SPRINGS, WYOMING
-------
Ill
100
(J
-C
c r^
o 01
+-> -o
-O
s- a;
ai ai
(^ U
J3 X
O LJL)
•(-> d)
.C 01
CD C
• i- ro
i— o;
(0
Q
3
I/)
QJ
CD
re
j-j
c
OJ
o
s.
QJ
Q.
80
60
40
20
1948-1956
1957-1966
1967-1976
I
990
1000 1010 1020
Barometric Pressure (millibars)
1030
1040
FIGURE A-84.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL
RANGE EXCEEDED 97 km, AS A FUNCTION OF BAROMETRIC
PRESSURE, AT WINSLOW, ARIZONA
-------
112
in the United States during the peri-od 1960 through 1964 were merged with
the NWS visibility data to determine the effect of afternoon ventilation
on afternoon visual range.
The effect of ventilation on visual range is summarized in Figures
A-85 through A-102. The strong dependence of visual range on ventilation
that was suggested by the dependence on atmospheric pressure'in Salt Lake
City and Ely is confirmed by the curves shown in Figures A-88 and A-94.
During stagnation conditions (low ventilation), visual range was consider-
ably reduced in these locations. The same strong effect of ventilation
was also observed in Phoenix, Tucson, Billings, Cheyenne, Ft. Huachuca,
Grand Junction, Great Falls, and Rock Springs.
It is significant that at Denver, visual range decreased with increas-
ing ventilation (Figure A-85). A possible explanation is that with increased
ventilation urban emissions are transported in such a way that the integral
of the aerosol scattering coefficient is greater along the sight path
between Denver and the distant visibility marker, Pike's Peak, which is
97 km to the south of Denver. An alternate explanation is that windblown
dust concentrations are higher with the higher wind speeds associated with
high ventilation values. The influences of pollutant transport and wind-
blown dust at high values of ventilation are also possible explanations
for the Las Vegas curves (Figure A-86) and the slight decrease in visual
range at many of the locations for high values of ventilation. The effect
of high surface wind speeds causing windblown dust was studied more directly,
as discussed in Section 11.
11. EFFECT OF WIND SPEED
Figures A-103 through A-120 illustrate the effect of the surface
wind speed on visual range. At many locations, most notably at Las Vegas,
Phoenix, Tucson, Alamogordo, Farmington, Grand Junction, Prescott, and
Winslow, a reduction in visual range occurs at high surface wind speeds.
-------
113
100
80
o
>*- E
_*:
10
C r--
O (7>
+J TJ
IB a;
> T3
S- OJ
QJ (LI
10 O
JD X
O UJ
+J QJ
-C CT)
O) C
•r- (O
O (O
3
I*- CO
O T-
>
0)
O)
ITS
O)
u
t-
0)
Q.
60
40
20
_L
I
0-2 2-5
5-10
10-15
15-20
>20
Ventilation (103 m2/s)
FIGURE A-85. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED 97 km, AS A FUNCTION OF
VENTILATION, AT DENVER, COLORADO, 1960-1964
-------
114
ro
JC
o
QJ
100
s_
o
in d)
C •«->
O rtj
•i- O
+-> T-
IT3 ^3
> C
$- 1-1
O)
to c
^3 (t3
O
T3
+-> O)
cn o
>> x
4- 01
O C
to
en
nj
C
O)
s-
O)
o.
80
60
40
20
_L
J_
_L
> 48 km
>105 km
0-2 2-5
5-10
10-15
15-20
>20
Ventilation (103 m2/s)
FIGURE A-86.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS
A FUNCTION OF VENTILATION, AT LAS VEGAS,
NEVADA, 1960-1964
-------
115
TOO
c
QJ
(J
OJ
a.
80
60
rtJ
3
in
-c O)
3 =1
i- 'ro
O >
l/l QJ
C 4->
O rO
•i- U
+-> ••-
(O "O
> C
QJ ""
(/) C
o
T3
•«-> QJ
JC TD
•?g 40
r- U
>> X
(O LU
O
QJ
•*- cn
o c
(O
0) cc:
20
> 48 km
td >64 km
>97 km
0-2 2-5
5-10
10-15
15-20
'20
Ventilation (103 m2/s)
Note: Tucson upper air data were used for ventilation.
FIGURE A-87.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS
A FUNCTION OF VENTILATION, AT PHOENIX,
ARIZONA, 1960-1964 .
-------
116
100
0-2
Ventilation (103 m2/s)
FIGURE A-88.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS
A- FUNCTION OF VENTILATION, AT SALT LAKE CITY,
UTAH, 1960-1964
-------
117
> 64 km
> 97 km
> 113 km
Ventilation (103 m2/s]
FIGURE A-89.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS
A FUNCTION OF VENTILATION, AT TUCSON, ARIZONA
1960-1964
-------
100
>4- 10
O -r-
>
cu
cn
(O
OJ
o
L.
0)
D-
80
O E
to ro
c r—
O r—
03 CU
fS 60
cu cu
en Ol
-C cn
cn c
•r- ID
40
20
118
0-2 2-5
5-10
10-15
15-20
>20
Ventilation (103 m2/s)
Note: El Paso upper air data were used for ventilation.
FIGURE A-90.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED 113 km, AS A FUNCTION
OF VENTILATION, AT ALAMOGORDO, NEW MEXICO,
1960-1964
-------
.c
.
O lO
•i- O
ro
> c
t- —.
O)
tO C
JD ro
•(-> 0)
_^ "X3
CD 01
r^ O
n ui
Q
01
<+- o>
o c
ro
d) ex:
CT)
ro
c
Hi
o
01
.0.
119
'00
80
5 60
40
> 64 km
> 97 km
0-2 2-5
5-10
10-15
15-20
>20
Ventilation (103 m2/s)
Note: Great Falls upper air data were used for ventilation.
FIGURE A-91.
PERCENTAGE OF DAYLIGHT,OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS A
FUNCTION OF VENTILATION, AT BILLINGS, MONTANA
1960-1964
-------
120
(O
3
l/l
o
T3
(/I
o co
(O ~O
> c
I- *—*
O)
10 C
(^ IO
o
T3
•M o;
J= T3
en QJ
•i- OJ
r— U
>i X
fO LU
O
OJ
<<- en
o c
o>
QJ
U
o>
Q.
100
80
- 60
40
20
I
1
I
1
> 48 km
> 64 km
> 97 km
> 113 km
> 145 km
0-2 2-5
5-10
10-15
15-20
>20
Ventilation (103 m2/s)
Note: Denver upper air data were used for ventilation.
FIGURE A-92.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS
A FUNCTION OF VENTILATION, AT CHEYENNE,
WYOMING, 1960-1964
-------
100
80
60
.C QJ
3 =5
I- "m
o >
4-
T3
to Ol
C +->
O (B
•f- u
•»-> •!-
(O "O
> c
I- HI
CD
01 C
•en CD 40
•r- QJ
i— U
>> x
fO UJ
O
Ol
<4~ CD
O C
re
oi o:
O)
20
01
o
O)
Q.
I
121
> 64 km
> 105 km
> 161 km
0-2 2-5
5-10
10-15
15-20
>20
O 9
Ventilation (10 m./s)
Note: Denver upper air data were used for ventilation.
FIGURE A-93.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS
A FUNCTION OF VENTILATION, AT COLORADO SPRINGS,
COLORADO, 1960-1964
-------
122
TOO
80
i-
o
> TJ
i- Q)
QJ QJ
10 O
-0 X
O UJ
•»-> (U
-C CD
CD C
4- W
O ••-
Ol
CD
rO
•»->
c
d)
O
o>
Q.
60
40
20
0-2 2-5 5-10 10-15
Ventilation (103 m2/s)
15-20
>20
FIGURE A-94.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED 72 km, AS A FUNCTION OF
VENTILATION, AT ELY, NEVADA, 1960-1964
-------
«3
3
to
HI
S- to
o >
XI
to O)
O
•/- 0
ro X>
> C
O)
to C
4-> O)
.C XJ
CD O)
•^ OJ
I— (-)
ro LU
O
OJ
i*- en
O c
ro
CD
ro
C
O)
o
OJ
D-
123
TOO
80
- 60
40
20
_L
> 64 km
> 121 km
0-2 2-5
5-10
10-15
15-20
>20
3 2
Ventilation (10 m /s)
Note: Albuquerque upper air data were used for ventilation.
FIGURE A-95.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS
FUNCTION OF VENTILATION, AT FARMINGTON,
NEW MEXICO, 1960-1964
-------
100
80
s_
o
in
O vc
ID T3
s- (1)
-C O)
CD C
40
CO I—
O CT3
»*- 10
O ••-
s>
OJ
01
fO
OJ
(J
i-
Ol
Q.
20
124
I
0-2 2-5
5-10
10-15
15-20
>20
Ventilation (103 m /s)
Note: Tucson upper air data were used for ventilation.
FIGURE A-96.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED 64 km, AS A FUNCTION OF
VENTILATION, AT FT. HUACHUCA, ARIZONA,
1960-1964
-------
125
TOO
ITS
3
to
O)
•a
1/1 ai
c +J
o ro
•i- O
4J .,_
(D T3
> C
i- I I
<1J
01 C
J3 re
o
•o
+-> ai
j: T3
C7> OJ
•r- 5 X
,
>4- CTl
o c
en
ro
s.
OJ
D.
80
60
40
20
I
0-2 2-5
5-10
10-15
15-20
Ventilation (103 m2/s)
> 113 km
> 145 km
.20
FIGURE A-97.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS
A FUNCTION OF VENTILATION, AT GRAND JUNCTION,
COLORADO, 1960-1964
-------
126
100
80
60
ro oj
> -o
S- QJ
ai a>
l/l O
-O X
O l-Lj
^ en
a> c
•i— (O
roe 40
^^
(O i—
O ro
3
4- to
O T-
>
a>
a>
(O
c
a>
u
a;
a.
20
_L
I
I
0-2 2-5
5-10
10-15
15-20
>20
Ventilation (103 m2/s)
FIGURE A-98.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED.97 km, AS A FUNCTION OF
VENTILATION, AT GREAT FALLS, MONTANA,
1960-1964
-------
u
-C c
S- i—i
QJ
Sg 40
'x, x
ns Ul
O
0)
<4- cn
o c
10
CJ CZ.
cn
ro
c
0)
u
QJ
0.
20
> 64 km
>.97 km
0-2 2-5
5-10
10-15
15-20
>20
Ventilation (103 m2/s)
Note: Winslow upper air data were used for ventilation.
FIGURE A-99.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS
A FUNCTION OF VENTILATION, AT PRESCOTT,
ARIZONA, 1960-1964
-------
u
Ol
(Si C
O) "
00 C
4-> QJ
J= T3
CT) O)
•i- O)
>— O
>, X
ro LU
Q
Ol
97 km
•- 113 km
> 121 km
> 145 km
5-10
10-15
15-20
>20
Ventilation (103 m2/s)
Note: Denver upper air data were used for ventilation.
FIGURE A-100. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED AN INDICATED VALUE, AS
A FUNCTION. OF VENTILATION!, AT PUEBLO, COLORADO,
1960-1964
-------
100
80
o
««- E
-*
to
C *3-
O U3
(O CU 60
> T3
S_ CU
CD CU
to (J
J3 X
O LU
4-> CU
s: en
en c
^20
Ventilation (103 m /s)
Note: Lander upper air data were used for ventilation.
FIGURE A-101.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED 64 km, AS A FUNCTION OF
VENTILATION, AT ROCK SPRINGS, WYOMING,
1960-1964
-------
130
100
-C
0
S-
o
80
a;
o
s-
~o
s- 20
Ventilation (10 m /s)
•'IGURE A-102.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH
VISUAL RANGE EXCEEDED 97 km, AS A FUNCTION OF
VENTILATION, AT WINSLOW, ARIZONA, 1960-1964
-------
131
TOO
80
L.
O
IS)
O CTl
••-> T3
XJ
i-
(U (U
x: en
en c
•i- to
60
£5 40
o to
3
O ••-
(U
O)
c
0)
u
20
1948-1956
1957-1966
1967-19^5
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-103.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 97
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT DENVER, COLORADO
-------
132
100
80
c o
O r-
n> 01
> T3
t- O)
0)
0>
en
ro
CD
O
QJ
O.
60
20
1948-1956
1957-1966
1967-1976
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-104.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 105
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT LAS VEGAS, NEVADA
-------
133
100
80
«*- e
c
O
"O
S- 0)
OJ QJ
JZ O)
cn c
•i- ro
i— D:
O (Q
OJ
O)
03
+->
C
0)
u
HI
CL.
60
40
20
1948-1956
1957-1966
1967-1976
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-105.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 64
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT PHOENIX, ARIZONA
-------
134
100
s-
o
"*- E
C *fr
O 10
ID O)
> T3
S- 01
O) Ol
tO O
£1 X
O LlJ
-t-> O)
^: en
01 c
•r- (O
i— o:
>,
03 i—
O 13
M- CO
O ••-
-------
135
100
o
S-
o
c r«^
O CTl
•£ TJ
US (1)
> T3
«- O>
O) QJ
in
o> c
•i- re
M- to
O •!-
>
01
01
re
01
o
01
a.
80
60
40
20
1948-1956
1957-1966
1967-1976
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-107.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 97
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT TUCSON, ARIZONA
-------
136
100
.c
(J
i.
o
M- E
C «*
O IO
'•^
•P T3
(O O)
> -o
S- 01
II) OJ
in o
-O X
O UJ
4-> O)
£ O>
C7> C
•r- 10
.— on
O ••-
(U
C7>
(O
+->
c
OJ
o>
Q-
80
60
40
20
1949-1956
_ 1957-1966
1967-1976
0-1 . 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-108.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 64
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT ALAMOGORDO, NEW MEXICO
-------
137
100
80
00
c r*^
O O**
•r—
+J -D
«O (U
|| 60
(/) U
J3 X
O UJ
+J O)
^ CD
CT) C
•r- fO
r- QC
^>^ 40
O ID
>*- 01
O -r-
cu
01
a>
u
0)
a.
20
1948-1956
1957-1966
1967-1976
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-109.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 97
km, AS A'FUNCTION OF SURFACE WIND
SPEED, AT BILLINGS, MONTANA
-------
138
100
o
l/l
c r-
o en
•r—
4-> -O
to 01
£ U
J3 X
O LLJ
80
60
J= CD
CD C
rg. 40
ITS i—
4- i/l
O -i-
>
(U
CD
fO
Ol
(J
S-
OJ
a.
20
-• 1948-1956
- 1957-1966
— 1967-1976
0-1 1-5 . 5-10
Wind Speed (m/s)
10-20
FIGURE A-1-10.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 97
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT CHEYENNE, WYOMING
-------
139
100
o
•r—
_C
$_
O E
) LO
C O
O i—
x>
S- 0>
OJ (LI
ui O
X) X
O LU
4-> OJ
x: CT)
o> c
•r- (O
IB •—
Q «J
3
I*- t/>
O -c-
>
O)
O)
10
(U
Q_
80
60
20
— 1948-1956
-- 1957-1966
1967-1976
_L
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-lll.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 105
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT COLORADO SPRINGS, COLORADO
-------
140
100
o
S-
o
to
c CM
o r--
ro O)
> -o
S- 0)
oj a)
10 O
-O X
o uj
•tJ OJ
-c C7i
a> c
•i- (O
i— ae
o to
4- to
O •!-
>
O)
O)
c
OJ
o
s_
QJ
D.
80
60
40
20
•— 1953-1956
— - 1957-1966
1967-1976
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A^112. PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 72
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT ELY, NEVADA
-------
141
100
O E
4- -i^
l/l r—
C T3
i- OJ
Ol 0)
CO O
-O X
O UJ
-(->
-------
142
100
80
c r~
o en
> T3
S- O)
OJ (U
I/) U
J2 X
O LU
•»-> o>
^ en
en c
£ «
"
M- in
O T-
O)
en
to
O)
o
-------
143
100
o e
80
CO CO
c •—
O i—
•£ TJ
10 O)
> X>
1- OJ
QJ QLJ
CO U
J3 X
O UJ
•M (U
^: en
en c
'^- OL
60
o ia
<+- CO
o -i-
>
at
CD
re
ai
o
OJ
o.
40
20
1948-1956
— — 1957-1966
1967-1976
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-115.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 113
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT GRAND JUNCTION, COLORADO
-------
144
100
80
to
C I
o i
J- QJ
I/I U
-CJ X
O LLJ
-C O)
01 C
i— OS
>4- CO
o ••-
(O
u
ai
o.
60
40
20
1948-1956
1957-1966
— 1967-1976
I I
0-1 1-5 5-10
Wind Speed
10-20
FIGURE A-116.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 97
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT GREAT FALLS, MONTANA
-------
145
100
80
c
T3
10 O)
> T3
S- OJ
OJ Ol
> o
.O X
O LLJ
J= en
O) C
•r- (O
i— ce.
%^ 40
Q IQ
4- t/>
O -r-
O)
u>
20
— 1948-1956
-- 1957-1966
1967-1976
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-117.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 105
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT PRESCOTT, ARIZONA
-------
146
100
o
80
o en
+J TJ 60
(O 0) •
s- 01
QJ (II
10 U
XI X
O UJ
en
c
O (O
3
>*- 10
O -1-
o>
CD
C
CO
u
QJ
D-
...
40
20
•— 1954-1956
-- 1957-1966
1967-1976
I i
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-118.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 97
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT PUEBLO, COLORADO
-------
147
TOO
80
s-
o
o vo
•»J T3
> T3
i- 0)
O) O)
10 O
J3 X
O LiJ
4-> Q)
JE C7>
O> C
*r~ ^O
^ a:
n r-
O (O
3
O -i-
0)
C7)
(O
QJ
O
V
a.
60
20
- 1948-1956
•- 1957-1966
— 1967-1976
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-119.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 64
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT ROCK SPRINGS, WYOMING
-------
148
100
s-
o
i/l
c r^.
O CTI
•^
•t-> T3
-O
S- OJ
OJ 0)
(/) U
+J Qj
J= O)
01 C
•i- >
(O r^-
O IO
3
4- to
O -r-
OJ
Ol
O
s-
0)
Q_
80
60
40
20
— 1948-1956
-- 1957-1966
1967-1976
0-1 1-5 5-10
Wind Speed (m/s)
10-20
FIGURE A-120.
PERCENTAGE OF DAYLIGHT OBSERVATIONS
FOR WHICH VISUAL RANGE EXCEEDED 97
km, AS A FUNCTION OF SURFACE WIND
SPEED, AT WINSLOW, ARIZONA
-------
149
These data suggest that high concentrations of coarse participates raised
by the wind are responsible for this visibility degradation. At very high
wind speeds, these reductions in visual range are called dust storms.
However, at many locations, such as Denver, Phoenix, Salt Lake City,
Billings, and Great Falls, visual range increases as wind speed increases
from near zero to moderate values because of dilution of the pollutant
emissions in these areas.
12. SEASONAL VARIATIONS
Figures A-121 through A-138 show the seasonal .variations in visual
range at the 18 NWS locations. No general seasonal variations occur at
all stations. At some locations, such as Denver, Las Vegas, and Colorado
Springs, summer visibilities are poorest. At other locations, notably
Phoenix, Salt Lake City, Ely, Grand Junction, and Rock Springs, summer
visibilities are best and winter visibilities are worst. At most loca-
tions, however, there are no significant seasonal variations in visual range.
Several hypotheses could be advanced to explain the differences in
seasonal visibility. Because afternoon mixing depths in the West during
the summer are from two to four times greater than winter .mixing depths,
one would expect greater dilution of natural and anthropogenic emissions
in the summer and hence increased visual range. However, enhanced photo-
chemical activity in the summer, resulting from greater insolation, could
increase the amount of secondary particulate matter formed in the atmosphere.
In addition, concentrations of windblown dust may be greater on dry, hot
summer days.
13. DIURNAL VARIATIONS
The dependence of visual range on time of day is illustrated in
Figures A-139 through A-156. Increases in visual range with changes in
time from early morning (before 1000 hours), through midday (1000 to
1400 hours), and into afternoon (after 1400 hours), such as those observed
-------
150
100
S-
o
c
O r^
-,- cri
> Ol
QJ QJ
on O)
_O O
o x
-C OJ
CT) CT.
•r- C.
to
Q i—
O 1/1
O)
O)
c
CD
u
s_
O)
Q.
30
60
40
20
0
Winter
O
•— 1948-1956
— 1957-1966
1967-1976
I
Spring
Season
Summer
Fall
FIGURE A-121
SEASONAL VARIATION IN VISUAL RANGE
AT DENVER, COLORADO, 1948-1976
-------
151
100
•r- O)
n 80
(O
1_ S>
O
>4- T3
Ol
CO •(->
C fO
O U
n3 C
S-
(U
•(-> T3
^ O)
CD Ol
•i- U
i — X
o o>
01
M- C
o 40 km
> 100 km
Spring Summer
Season
Fall
FIGURE A-122. SEASONAL VARIATION IN VISUAL RANGE
AT LAS VEGAS, NEVADA, 1948-1976
-------
152
O)
OJ
oo +->
c 1—1
S-
<1J C
I/) (O
J3
O ~V
(LI
4-> T3
ro
Q OJ
O1
l*- C
O to
a:
ai
ai>—
iT3 rtJ
4-> 3
c oo
Q> '•!-
o =>
O)
o.
100
•^ 80
60
40
20
—O>
o
Winter
I
1948-1956
1957-1966
1967-1976
I
> 40 km
> 60 km
Spring
Season
Summer
Fall
FIGURE A-123.
SEASONAL VARIATION IN VISUAL RANGE
AT PHOENIX, ARIZONA, 1948-1976
-------
153
100
-C
(J
s_
o
c .
O *3-
•r- 143
-!->
(O ~O
Ol CD
i/l
o x
LU
4->
^ 01
CD cn
•i- C
Q i—
to
H- 13
O tO
0) >
(31
g
O)
Q.
80
40
20
/
X
0
Winter
i
1948-1956
—1957-1966
1967-1976
I
Spring Summer
Season
Fall
FIGURE A-124.
SEASONAL VARIATION IN VISUAL RANGE
AT SALT LAKE CITY, UTAH, 1948-1976
-------
154
100
o
•r- O)
O
M- -O
O>
01 4->
C fO
o o
05 C
^D "O
0)
•t-> -o
x: OJ
CD OJ
•i- O
r- X
>,UJ
Q Cb
CD
M- C
O (O
a:
01
CDi—
e 01
O> -r-
QJ
o_
30
60
20
0
Winter
_L
• — 1948-1956
— 1957-1966
1967-1976
I
Spring Summer
Season
> 60 km
> 80 km
Fall
FIGURE A-125.
SEASONAL VARIATION IN VISUAL RANGE
AT TUCSON, ARIZONA, 1948-1976
-------
155
.c
(_>
•r- OJ
ro
s- >
o
4- T3
cu
01 +->
C 10
O 0
fO C
> I— I
QJ C
U1 (D
JD
O T3
O)
••-> T3
^= OJ
CT. OJ
•i- O
r- X
(O
O Ol
CD
4- C
O <0
Qi
CD
C7)r-
C in
O) -i-
U >
Ol
Q.
100
80
60
40
20
•1957-1966
•1967-1970
0
Winter
_L
I
> 40 km
> 100 km
Spring
Season
Summer
Fall
FIGURE A-126.
SEASONAL VARIATION IN VISUAL RANGE AT
ALAMOGORDO, NEW MEXICO, 1957-1970
-------
156
100
-C
(J
1/1 -^
c
O r—.
•r- CD
CO "O
> OJ
Qj QJ
l/l O)
X3 U
O X
x: cu
en ex
•i- C
i — (O
03
4- ^
O 1/1
<1J >
Ol
o
01
Q.
80
60
40,
20
— 1948-1956
— 1957-1966
1967-1976
0
Winter
_L
1
Spring
Season
Summer
Fall
FIGURE A-127.
SEASONAL VARIATION IN VISUAL RANGE AT
BILLINGS, MONTANA, 1948-1976
-------
157
o
•i- O)
S- >
o
H- "O
O)
(/> -•->
C (O
o u
4-> TD
ro C
> i— i
t.
O) C
QJ
4-> -O
x: a;
CD QJ
•i- U
• — x
100
03
O O)
en
M- c
O ro
or
01
cnr—
ro ro
-t-> 3
c in
CU -r-
O >
i.
OJ
rx
80
^i = A
60
b—
40
20
—°\.
.-o
• 97 km
> 145 km
Spring Summer
Season
Fall
FIGURE A-128.
SEASONAL VARIATION IN VISUAL RANGE
AT CHEYENNE, WYOMING, 1948-1976
-------
158
100
o
(D
c
Ol
O)
Q.
80
l/l -*
c
O LD
•r- O
-------
159
100
c
O CNJ
•i- r-.
> QJ
$- -o
O) QJ
CO OJ
J3
en
ro
OJ
O
V-
Ol
Q.
80
60
40
20
0
Winter
1953-1956
1957-1966
1967-1976
J_
I
Spring Summer
Season
Fall
FIGURE A-130.
SEASONAL VARIATION IN VISUAL RANGE
AT ELY, NEVADA, 1953-1976
-------
160
100
o
•r- QJ
-C ^
3 •—
(O
S- >
O
<+- -O
OJ
en -t->
c 1— «
.S-
OJ C
I/) rt)
J3
O TJ
QJ
+-> XJ
-C OJ
CD Ol
•r- U
i— X
>>UJ
(O
Q OJ
CD
4- C
O T3
o:
QJ
CD.—
60 km
> 100 km
Spring Summer
Season
Fall
FIGURE A-131.
SEASONAL VARIATION IN VISUAL RANGE AT
FARMINGTON, NEW MEXICO, 1949-1976
-------
161
1957-1966
1967-1971
> 60 km
> 80 km
> 100 km
0
Winter
Fall
FIGURE 132. SEASONAL VARIATION IN VISUAL RANGE AT
FT. HUACHUCA, ARIZONA, 1957-1971
-------
162
100
o ^
to
QJ -i-
CD>
ro
Ol
u
OJ
Q-
80
S-
o
c:
O CO
ID
s- UJ
CD (11
•i- CD
r- C
>, 10
(O Oi
o
40
20
— 1948-1956
— 1957-1966
1967-1976
0
Winter
I
I
Spring
Season
Summer
Fall
FIGURE A-133.
SEASONAL VARIATION IN VISUAL RANGE AT
GRAND JUNCTION, COLORADO, 1948-1976
-------
163
100
s_
o
1/1 -*
c
O r-~.
••- en
4->
fO ~O
> OJ
-
(/I tt>
r> o
o x
-C O)
en cr.
4- 3
O CO
•f—
O) >
CD
cu
(J
(U
O.
80
60
40
20
0
Winter
1948-1956
1957-1966
1967-1976
I
Spring Summer
Season
Fall
FIGURE A-134.
SEASONAL VARIATION IN VISUAL RANGE AT
.GREAT FALLS, MONTANA, 1948-1976
-------
164
100
•r- OJ
.c 3
i- >
O
i+- -o
OJ
(/) -l->
C re
O O
•r— 'r-
4-> "O
1—1
s-
0) C
(/I fO
OJ
-D
>UJ
(O
O OJ
en
M- C
O (O
Qi
CU
Oil—
fO (D
C
O>
u
Ol
D-
10
80
60
40
20
1948-1956
1957-1966
1967-1976
0
Winter
_L
> 60 km
> 100 km
Spring
Season
Summer
Fall
FIGURE A-135.
SEASONAL VARIATION IN VISUAL RANGE
AT PRESCOTT, ARIZONA, 1948-1976
-------
165
s-
o
o i--.
•r- CTl
OJ
ID
s- -o
Ol O>
-------
166
co
C
O •
03
>
O)
100
OJ 01
l/l >ct:
03
C3 i—
to
4- 3
O to
01
O)
o
O)
80
60
40
20
— 1948-1956
— 1957-1966
1967-1976
0
Winter
I
Spring
Season
Summer
Fall
FIGURE A-137.
SEASONAL VARIATION IN VISUAL RANGE AT
ROCK SPRINGS, WYOMING, 1948-1976
-------
167
CU
o
4- -O
CU
00 4->
C (T3
O (J
•»-> -O
to c
00 QJ
•i- O
i— X
100
fO
Q CD
cn
1- C
O 1C
C£
80 km
Spring Summer
Season
Fall
FIGURE A-138.
SEASONAL VARIATION IN VISUAL RANGE
AT WINSLOW, ARIZONA, 1948-1976
-------
168
E
co -*
c
O r^
-,- o-i
•»-j
Ol
s- -o
O) CD
on OJ
.n U
O X
-C 4000
Time of Day (hour)
FIGURE A-139. VARIATION IN VISUAL RANGE AS A FUNCTION
OF TIME OF DAY AT DENVER, COLORADO,
1948-1976
-------
169
100
-C
u
S-
o
c
O CO
> OJ
s- -o
Ol O>
10 OJ
-0 U
o x
-C QJ
01 cn
•r- C
i — ro
80
60
03
Q i
O)
O)
C
Ol
(J
40
20
0
1948-1956
1957-1966
1967-1976
I
<1000 1000-1400 >4000
Time of Day (hour)
FIGURE A-140. VARIATION IN VISUAL RANGE AS A FUNCTION OF
TIME OF DAY AT LAS VEGAS, NEVADA 1948-1976
-------
170
100
na
o 10
O)
en
C
(LI
(J
QJ
Q.
80
l/l
C
o
(O "^3
> <*> en
i- -o bU
(LI CD
1/1 (L>
-Q O
O X
-C OJ
en CD
•r- C
40
20
0
1948-1956
—1957-1966
1967-1976
<1000 1000-1400 >4000
Time of Day (hour)
FIGURE A-141. VARIATION IN VISUAL RANGE AS A
FUNCTION OF TIME OF DAY AT PHOENIX,
ARIZONA, 1948-1976
-------
171
100
S-
o
TO "O
> QJ
J- -O
QJ O>
l/l QJ
-O O
O X
LU
•4->
.C QJ
CD CT)
•r- C
i— (O
1C
Q r-
(O
M- 3
O l/l
OJ >
CD
c
O)
u
s_
Ol
Q-
80
60
4Q
^u
20
0
1948-1956
1957-1966
1967-1976
<1000 1000-1400 >4000
Time of Day (hour)
FIGURE A-142. VARIATION IN VISUAL RANGE AS A FUNCTION
OF TIME OF DAY AT SALT LAKE CITY, UTAH
1948-1976
-------
172
100
S-
o
00 -*
c
O r^
•i- cr>
4->
to -o
> QJ
S- -0
O) o>
00
-O U
O X
.C O>
en cn
•i- C
(O
o:
Q i—
fO
M- 3
O 00
O) >
CD
(O
O>
U
CD
Q.
80
60
40
20
0
1948-1956
1957-1966
1967-1976
<1000 1000-1400 >4000
Time of Day (hour)
FIGURE A-143. VARIATION IN VISUAL RANGE AS A FUNCTION OF
TIME OF DAY AT TUCSON, ARIZONA, 1948-1976
-------
173
100
80
00
c
o
•
O)
S- T3
-C QJ
C71 O)
•i- C
Q i—
OJ
O)
C
OJ
o
Ol
Q-
60
40
20
0
•1948-1956
•1957-1966
•1967-1970
<1000 1000-1400 >4000
Time of Day (hour)
FIGURE A-144. VARIATION IN VISUAL RANGE AS A FUNCTION
OF TIME OF DAY AT ALAMAGORDO, NEW
MEXICO, 1948-1970
-------
174
100
o r^
•r- CTv
•*->
IQ TJ
> Ol
S- -D
Ol CD
10 OJ
J3 U
O X
CD D1
HJ
Q r-
O 10
Ol
cn
OJ
u
S-
O)
Q-
80
60
20
0
1948-1956
1957-1966
1967-1976
<1000 1000-1400 >4000
Time of Day (hour)
FIGURE A-145. VARIATION IN VISUAL RANGE AS A FUNCTION OF
TIME OF DAY AT BILLINGS, MONTANA, 1948-1976
-------
175
100
fe
> -ii
c
O LT>
(O
> 1C
&_ Qj
O) T3
1/1 (U
-Q OJ
O (-)
X
•«-> LU
CD Ol
i— C
>> (O
M- rc
O Z3
10
80
cn
OU
40
20
0
1948-1956
1957-1966
1967-1976
<1000 1000-1400 >4000
Time of Day (hoflr)
FIGURE A-146. VARIATION IN VISUAL RANGE AS A FUNCTION OF
TIME OF DAY AT CHEYENNE, WYOMING, 1948-1976
-------
176
100
80
o
4-
c
O LT>
•r- O
03
>
60
o>
o
, ro
ro Q:
O
O 3
en
QJ -i-
CJI>
(O
•!->
c
QJ
U
S-
01
Q-
40
20
0
1948-1956
1957-1966
1967-1976
<1000 1000-1400 >4000
t Time of Day (hour)
FIGURE A-147.
VARIATION IN VISUAL RANGE AS A FUNCTION OF
TIME OF DAY AT COLORADO SPRINGS, COLORADO
1948-1976
-------
177
TOO
80
60
s-
o
O C\J
•r- ( —
-l->
CO -O
> d)
s- -o
Ol Ol
in Ol
.0 O
o x
.C 0)
CD O)
£ a 40
ro
Q r—
fO
t- 3
O to
o>
4000
Time of Day (hour)
FIGURE A-148. VARIATION IN VISUAL RANGE AS A
FUNCTION OF TIME OF DAY AT ELY,
NEVADA, 1953-1976
-------
178
100
a>
o
80
60
s-
o
o •—
•i- C\J
•(-> I—
to
> T3
S- O)
J3 (U
O (->
X
CD QJ
•i- CD
>;« 40
ra a:
o
M- (O
o =
i/>
ai -I-
20
0
1949-1956
1957-1966
1967-1976
<1000 1000-1400 >4000
Time of Day (hour)
FIGURE A-149. VARIATION IN VISUAL RANGE AS A FUNCTION OF TIME
OF DAY AT FARMINGTON, NEW MEXICO, 1949-1976
-------
179
TOO
-C
o
1/1
C
o
re ~o
> OJ
s- -o
O) QJ
l/> dl
X)
CD
re
-i->
c:
4000
Time of Day (hour)
FIGURE A-150.
VARIATION IN VISUAL RANGE AS A
FUNCTION OF TIME OF DAY AT FT.
HUACHUCA, ARIZONA, 1954-1971
-------
180
100
J-
o
c
o t^
•i- CTl
4->
O)
S- T3
Ol OJ
Wl OJ
J2 O
O X
x: 01
en en
•r- C
r —
O)
(O
4->
c
QJ
o
Ol
Q-
0
1948-1956
1957-1966
1967-1976
I
<1000 1000-1400 >4000
Time of Day (hour)
FIGURE A-151.
VARIATION IN VISUAL RANGE AS A
FUNCTION OF TIME OF DAY AT
GRAND JUNCTION, COLORADO,
1948-1976
-------
181
o
•f—
_c
s_
o
M-
i/i JK
c
O r-.
•i- CTi
4->
(O TD
> OJ
S- "O
OJ O)
in Ol
.a o
o x
j: a>
en ai
•i- C
i — 03
(D
O i—
(O
M- ZJ
O (/)
•r-
0) >
a>
ai
u
ai
D-
100
80
60
40
20
0
1948-1956
1957-1966
1967-1976
<1000 1000-1400 >4000
Time of Day (hour)
FIGURE A-152.
VARIATION IN VISUAL RANGE AS A
FUNCTION OF TIME OF DAY AT
GREAT FALLS, MONTANA,
1948-1976
-------
182
100
80
O LT>
•r- O
+-> r —
fO
> -o
S- di
at -a
m 01
JO > ro
ro a:
a
o 3
cr»
ro
cu
o
ai
o.
60
40
20
0
1948-1956
1957-1966
1967-1976
<1000 1000-1400 ->4000
Time of Day (hour)
FIGURE A-153.
VARIATION IN VISUAL RANGE AS A
FUNCTION OF TIME OF DAY AT
PRESCOTT, ARIZONA, 1948-1976
-------
183
100
O
s_
80
60
.c
o
s-
o
O ro
ro
> -o
s- 01
O) t3
I/) O»
J3 O)
O O
X
•4-> UJ
CT> OJ
• r- CD
"il 40
O
M- ro
O 3
QJ -r-
20
0
1954-1956
1957-1966
1967-1976
<1000 lOOO-MOO >4000
Time of Day (hour)
FIGURE A-154.
VARIATION IN VISUAL RANGE AS A
FUNCTION OF TIME OF DAY AT
PUEBLO, COLORADO, 1954-1976
-------
184
100
S-
o
o «a-
•r- ID
4->
03 "O
> O)
S- -O
O)
to
CT>
03
4->
C
4000
Time of Day (hour)
FIGURE A-155.
VARIATION OF VISUAL RANGE AS A
FUNCTION OF TIME OF DAY AT
ROCK SPRINGS, WYOMING,
1948-1976
-------
185
100
o
s_
o
c
o r-.
•r- CTl
+->
10 T3
> 0>
i- -o
Ol OJ
) 111
-Q U
O X
cr>
80
60
Ol
10
OJ
O
OJ
a.
40
20
0
1948-1956
1957-1966
1967-1976
1
<1000 1000-1-100 >4000
Time of Day (hour)
FIGURE A-156.
VARIATION IN VISUAL RANGE AS A
FUNCTION OF TIME OF DAY AT
WINSLOW, ARIZONA, 1948-1976
-------
186
at Salt Lake City and Tucson, suggest that an increasing mixing depth
dilutes the aerosol concentration, thereby increasing the visual range.
However, at some locations, such as Billings, Cheyenne, Farmington, Great
Falls, and Rock Springs, daytime visibility reaches a peak at midday
(1000 to 1100 hours). At most locations, however, diurnal variations
are small.
14. VARIATION WITH WIND DIRECTION
Figures A-157 through A-174 illustrate the results of the data sorting
as a function of the surface wind direction. The purpose of this analysis
was to determine whether the sources of the pollutants that cause vis-
ibility impairment could be deduced from the variations in frequency
distributions of visual range with wind direction at different locations.
For example, a reduction in the frequency of occurrence of good visibility
with southerly winds might indicate that natural or man-made pollutants
emitted south of the given location are responsible for the visibility
impairment. However, consideration must also be given to the wind direc-
tion dependence of other meteorological parameters that affect visual range,
such as relative humidity, before definite conclusions can be drawn about
the emission sources that cause visibility degradation.
There are other limitations to data sorting by wind direction. It
is recognized that the wind direction at the surface, which was used in
this analysis, may not always be the same as the upper-air transport winds,
particularly in complex terrain. Also, spatial and temporal changes in
wind direction and speed can transport an air parcel from a source to a
receptor via a circuitous route. In the future, a more sophisticated
(and more costly) analysis could be carried out using trajectory analysis
to identify the transport of air parcels from emission sources to receptors
with greater accuracy. For example, upper-air winds could be spatially
and temporally interpolated to compute forward trajectories from emission
sources (e.g., urban areas, copper smelters, power plants) to receptors
or back trajectories from receptors. One could then determine whether
-------
100
s_
o
4-
O r-.
•i- en
4->
ro TJ
> 0)
S- T3
01 01
> Ol
J3 O
o x
-C
c
OJ
o
s_
80 -
60
20
I I I
I I
I I I I
1948-1956
— 1957-1966
1967-1976
I
_L
I
oo
NNE NE
ENE
ESE SE SSE S
Wind Direction
SSW
SW WSW
WNW
NW NNW
FIGURE A-157.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED
97 km, AS A FUNCTION OF WIND DIRECTION, AT DENVER, COLORADO, 1948-1976
-------
100
to
•- 80
s-
O
O
'55 so
> (O
i. O
-C CO
CD
£15.40
ro O)
Q Ol
O
^t- X
O LJJ
Ol O)
cn CD
ro C
o
S-
OJ
o.
1948-1956
^^ 1957-1966
1967-1976
I
I
l
> 48 km
00
oo
> 105 km
NNE NE
ENE
ESE SE
SSE S SSW
Wind Direction
SW WSW
W
WNW
NW WNW
FIGURE A-158.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED AN INDICATED VALUE,
AS A FUNCTION OF WIND DIRECTION, AT LAS VEGAS, NEVADA, 1948-1976
-------
100
ro
3
(/I
o
•r—
S- 3
O r—
<4- (O
c -o
o
•!-> to
tO O
> T-
s- -o
O) C
to >— •
JD
O C
to
>, (U
(O O
Q X
o o>
CD
cu c
D1 tO
c
o>
o
s-
80
60
40
20
1948-1956
1957-1966
• 1967-1976
I
I
I
I
I
I
I
->48 km
>64 km
co
NNE NE ENE
ESE SE SSE S SSW
Wind Di rection
SW WSW
WNW NW
FIGURE A-159.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED AN INDICATED VALUE,
AS A FUNCTION OF WIND DIRECTION, AT PHOENIX, ARIZONA, 1948-1976
-------
100
s_
o
80 -
to _*:
O ^1-
•i- C
•— (O
to
<0
>4- 3
O to
Ol
Ol
(O
4->
c
111
o
1_
Ol
CL.
40
20
I I \
I I
I I I T
1948-1956
1957-1966
1967-1976
I
NNE NE
I
I
I
ENE
ESE SE SSE S
Wind Direction
ssw
sw wsw
I
WNW
NW NNU
FIGURE A-160.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED 64 km, AS A
FUNCTION OF WIND DIRECTION AT SALT LAKE CITY, UTAH, 1948-1976
-------
100
fO
3
CO
.c:
•r-
-C
3
01
i. 3
O i—
80
I/I
C
O
QJ
ro
<->
O)
>
-O
o
oi
o
O)
60
to
D) O)
'^"S 40
"V, CU
ra o
Q X
O CD
O1
O) C
CD ro
03 CsL
20
1948-1956
1957-1966
1967-1976
1
I
I
I
I
> 64 km
97 km
NNE NE
ENE
ESE SE SSE S SSW
Wind Direction
SW
WSW W
FIGURE A-161.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED AN INDICATED VALUE
AS A FUNCTION OF WIND DIRECTION, AT TUCSON, ARIZONA, 1948-1976
-------
100
o
80
c: m
O i—
(O -a
> cu
s- -o
a> ai
oo a>
J3 0
o x
.G
-------
100
> .*:
c
O r^
•r- en
> O)
i- -o
O)
-------
100
t/> .*:
c
o in
IO
> -O
S- 01
O) -O
10 O)
J3 Ol
o u
X
O)
CD
ca ce.
o
4- ro
O 3
l/l
Q) -r-
(O
cu
0
O)
Q-
80
60
40
20
— •• 1948-1956
— 1957-1966
1967-1976
I
l
I
10
NNE NE
ENE
ESE SE SSE S
Wind Direction
SSW SW
WSW
W
WNW
NW NNW
FIGURE A-164. PERCENTAGE OF OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED 145 km, AS A
FUNCTION OF WIND DIRECTION, 'AT CHEYENNE, WYOMING, 1948-1976
-------
100
JC
0
(/•>
10
?• ~°
i- > <°
(O Qi
O
>«- "(O
O 3
1/1
d) -r-
10
4J
c
Ol
o
-------
100
s-
o
) j*
c
O CNJ
0)
S- -O
Ol QJ
to OJ
.O U
O X
CD O)
•^ C
i — ro
to
Q r—
ro
>t- 3
O >
Ol
10
-4->
c
o>
o
O)
Q_
80
60
40
20
1948-1956
1957-1966
1967-1976
I
I
I
I
I
ID
NNE NE
ENE
ESE SE SSE S
Wind Direction
SSW
SW WSW
WNW
NW NNW
FIGURE A-166.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED 72 km, AS A
FUNCTION OF WIND DIRECTION, AT ELY, NEVADA, 1948-1976
-------
TOO
to
O
•- 80
S_ O)
O =J
O T3
••- dl
-l-> -t->
(& (&
> O
S- T-
O) -O
I/) C
JO >-<
o
c
•»-> , O)
<0 OJ
O
c.
at
o
64 km
121 km
NNE NE
ENE
ESE SE SSE S SSW
Wind Direction
SW WSW
WNW NW
NNW
FIGURE A-167. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED AN INDICATED VALUE
AS A FUNCTION OF WIND DIRECTION, AT FARMINGTON, NEW MEXICO, 1949-1976
-------
100
s-
O
rtJ
O T3
S- T-
O) TD
CO C
4-> 03
x:
CDTD
•r- OJ
r— T3
>, 64 km
> 89 km
Ob
105 km
NNE
NE
ENE
ESE SE SSE S SSW
Wind Direction
SW WSW
NW NNW
FIGURE A-168. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED AN INDICATED VALUE,
AS A FUNCTION OF WIND DIRECTION, AT FT. HUACHUCA, ARIZONA, 1957-1970
-------
100
ITS
O O)
Ol
S- C
o 3
C in
OJ ••-
o =>
s_
01
0.
80 -
-C 3
3 •—
(O
i. >
o
OJ
1/5 4->
C It)
o o
-M "O
>~ 60
O) C
.0
O T3
O)
^: 97 km
> 145 km
NNE NE
ENE
ESE SE SSE S
Wind Direction
ssw sw wsw
WNW
NW NNW
FIGURE A-169. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED AN INDICATED
VALUE, AS A FUNCTION OF WIND DIRECTION, AT GRAND JUNCTION, COLORADO, 1948-1976
-------
100
80
s_
o
00 J*
c
o f~
•r- CTl
O)
60
(O
>
i- -O
Ol Cl)
GO (II
-0 U
O X
CD CD
^ ro 40
03
i*- ZJ
O to
O) >
C75
n3
dl
U
O)
Q.
20
i i i r
1948-1956
1957-1966
1967-1976
ro
o
o
NNE NE
ENE
ESE SE SSE S
Wind Direction
SSW SW
WSW
WNW
NW NNU
FIGURE A-170.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE .EXCEEDED 97 km, AS A
FUNCTION OF WIND DIRECTION, AT GREAT FALLS, MONTANA, 1948-1976
-------
100
O
t/i un
c o
o •—
•I —
4J -O
rtJ OJ
> "O
S_ QJ
OJ Ol
> O
-Q X
O lJ-1
-^>
O> C
•r- 10
•— Qi
>>
03 t—
Q (O
3
<4~ I/)
O -r-
Ol
cr.-c
rtJ u
4-> •!-
C -C
0) 3
U
s-
flj
Q-
80
60
40
20
1948-1956
1957-1966
1967-1976
_i
I
_L
I
I
I
I
I
> 105 km
ro
o
NNE
NE ENE
ESE SE SSE S SSW
Wind Direction
SW WSW
WWW NW
FIGURE A-171.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED AN INDICATED VALUE,
AS A FUNCTION OF WIND DIRECTION, AT PRESCOTT, ARIZONA, 1948-1976
-------
100
80
o
4-
IT}
> T3
s- cu
O) -O
1/1 OJ
-Q Ol
O U
X
en at
•i- C7)
r— C
O ZJ
>
O» -i-
cn
03
4->
c.
QJ
u
Ol
ex
60
40
20
1954-1956
1957-1966
1967-1976
I
NNE NE
ENE
ESE SE SSE S
Wind Direction
SSW
SW WSW
WNW NW NNW
ro
O
ro
FIGURE A-172.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED ll3 km, AS A
FUNCTION OF WIND DIRECTION, AT PUEBLO, COLORADO, 1954-1976
-------
100
80
\
l/l
c
o
> O)
i- T5
Ol O)
V) O)
J3 U
o x
^ 0)
CD CD
60
40
Q i—
10
O)
en
ro
o
01
Q-
20
•• • 1948-1956
1957-1966
1967-1976
_1_
i
I
_L
I
I
_L
PO
o
00
NNE NE
ENE
ESE SE SSE S
Wind Direction
SSW SW
WSW
WNW
NW NNW
FIGURE A-173. PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED 64 km, AS A
FUNCTION OF WIND DIRECTION, AT ROCK SPRINGS, WYOMING, 1948-1976
-------
100
80
c .
o>
o
S-
OJ
O-
60
c: t^.
o en
•r-
•!-> -O
03 TD
S_ >
03 i—
M- ui
O -i—
O)
cn
03 o
20
1948-1956
1957-1966
1967-1976
_L
_L
J_
_L
ro
o
NNE NE
ENE
ESE SE
SSE S SSW
Wind Direction
SW WSW
FIGURE A-174.
PERCENTAGE OF DAYLIGHT OBSERVATIONS FOR WHICH VISUAL RANGE EXCEEDED 97 km
AS A FUNCTION OF WIND DIRECTION, AT WINSLOW, ARIZONA, 1948-1976
-------
205
the air parcels associated with reduced visual range are indeed transported
from pollution sources. Of course, the trajectory analysis technique would
also be limited by the accuracy of the interpolation scheme, particularly
in rough terrain where channeled winds and drainage winds complicate
the flow patterns.
Despite these limitations of the wind direction sorting analysis,
in many instances the known spatial distribution of emission sources can
explain the variations as a function of wind direction of visual range
that were observed at many locations. For example, the dependence of
visual range on wind direction in Denver is shown in Figure A-157. Good
visibility in Denver is less frequent with northerly flow than with south-
erly flow. Because higher humidities are slightly more frequent with
southerly flow, the wind direction dependence of relative humidity cannot
account for the dependence on wind direction. Rather, the dependence
appears to result from the transport of urban emissions from Denver
toward the distant visibility marker, Pike's Peak, which is 97 km south
of Denver. Thus, with northerly flow, aerosol from Denver is transported
toward the marker, thereby intersecting a larger portion of the 97 km
sight path.
A similar explanation can account for the decreased visibility in
Las Vegas that occurs with southerly fl'.v (see Figure A-158). The distant
visibility marker in Las Vegas is to the northeast of the city; the entire
sight path between the NWS observer and the most distant marker would be
within the Las Vegas urban plume only when winds were generally southwesterly,
Figure A-159 shows that in Phoenix a visual range greater than 64 km
is much more frequent with northeasterly flow than with any other wind
direction. This suggests that air transported from the northeast off
the Colorado Plateau is cleaner than air transported from the desert and
from the copper smelters to the south. .
There are no known emission sources to the east of Billings and Great
Falls, Montana, that would account for the decrease in visual range with
-------
206
generally easterly flow that is observed at these locations (see Figures
A-163 and A-170). Also, the dependence of relative humidity on wind dir-
ection does not account for the variation. However, wind speeds greater
than 5 m/sec, which are correlated with increased visual range at these
locations, are less frequent with easterly winds. This effect is the only
apparent explanation for the dependence of visual range on wind direction
in Montana.
In Colorado Springs the distant (145 km) visibility marker, Blanca
Peak, is visible less frequently with southerly flow (Figure A-165).
Also, good visibility occurs less frequently with \tfinds from the north
and north-northwest, perhaps as a result of air pollution transported from
Denver. The reduction in visibility in air parcels transported from the
south could be due to pollution emitted in.the smelter complex of Arizona
and New Mexico or in west Texas. The visual range in Pueblo (see Figure
A-172), which is 60 km to the south of Colorado Springs, is smallest with
winds from the north through northeast. There is no obvious explanation
for the occurrence of reduced visibility associated with southerly flow
at Colorado Springs but not at Pueblo. At both locations, however, the
best visibility is associated with northwesterly winds, which transport
relatively clean, dry air from the Rockies.
Figure A-171 shows the dependence of visibility in Prescott on wind
direction. Visibility less than 105 km occurred more frequently when
winds were from the southeast than when they were northerly. One explan-
ation for this dependence is that southerly winds in Prescott are more
often associated with high (exceeding 60 percent) relative humidity con-
ditions. Another possible explanation is that there are fewer pollution
sources to the north than to the southeast; thus, the decreased visibility
associated with southeasterly flow may be caused by pollutants transported
from the cities of Phoenix and Tucson or from the copper smelters in
southeastern Arizona. Prescott's visual range during periods of low
relative humidity (less than 60 percent) was analyzed as a function of
wind direction to attempt to eliminate the effect of relative humidity;
the results are reported in subsequent paragraphs.
-------
207
Another interesting observation is evident in Figure A-171; a sig-
nificant reduction in visibility, not observed during the earlier two
decades, is associated with winds from the southwest to west directions
during the last 10-year period. One .possible explanation is that winds
from the west and southwest carried pollution to Prescott and its farthest
visibility marker, Humphreys Peak (north of Flagstaff), from a recently
created or expanded emissions source. The Mohave coal-fired power plant,
which is located about 200 to 300 km west of the sight path from Prescott
to Humphreys Peak, is one such source. Another possibility is an urban
plume from Las Vegas or some other metropolitan area.
Figure A-174 shows the dependence of visibility in Winslow on wind
direction. Reduced visibility in Winslow appears to be correlated with
winds from the south-southwest, indicating that pollution from the Phoenix
and Tucson urban areas or from the copper smelters may be causing reduced
visibility. Virtually the same dependence on wind direction can be
observed for each of the three decades.
It should be noted here that Roberts et al. (1975) reported that the
visual range measured in the Petrified Forest (east of Winslow) was shortest
when winds were from the southwesterly 90° quadrant, which suggests, as
do the Prescott and Winslow data, that emissions from southern Arizona
contribute to visibility impairment in remote areas under certain trans-
port wind conditions.
Figure A-167 illustrates a similar dependence of visibility on wind
direction in Farmington, New Mexico. Reduced visibility is associated
with south-southwesterly winds, suggesting again that pollution trans-
ported from southeastern Arizona may be responsible for visibility
degradation. Pollution from the Four Corners power plant would be trans-
ported toward Farmington and its visibility markers to the north. But no
significant change is apparent in the wind direction dependence between
the last decade (when the power plant was operating) and the previous two
decades (before the plant was in operation). Therefore, it appears that
-------
208
visibility is reduced principally by other pollution sources to the south.
Although visibility also seems to be reduced when winds are from the
north-northeast, the visibility degradation associated with that wind dir-
ection appears to have diminished over the past three decades and, as
we point out in subsequent paragraphs, north-northeasterly winds at
Farmington are very infrequent.
Substantial evidence indicates that the transport of pollution from
southeastern Arizona causes visibility reduction in remote areas in the
Southwest. Southeasterly winds are associated with reduced visibility
in Prescott, south-southwesterly winds have the same effect in Uinslow,
and south-southwesterly winds degrade visibility in Farmington. These
data were analyzed further to study the influence of copper smelter emis-
sions, in particular, on visual range in remote areas.
As we have noted, the copper smelters in southeastern Arizona and
southwestern New Mexico are the dominant SCL sources in the Southwest.
Before emissions controls were implemented in 1973, the copper smelter
complex emitted more than 6000 tons of S02 per day. The analysis of the
yearly trends in visual range and the dependence of visual range on
relative humidity showed a dramatic improvement in visibility, .particularly
in Phoenix and Tucson, during the period 1973 through 1976, when smelter
emissions were reduced to half of what they were in 1973. During the
copper strike from July 1967 through March 1968, there were no smelter
S02 emissions; thus, the strike is a control period that can be used
to evaluate the effect of smelter emissions on visibility.
We used the visual range observed during the copper strike for com-
parison with the visual range in Prescott, Winslow, and Farmington when
the smelters were operating. The purpose of this analysis was to determine
whether the reduction in visual range associated with certain wind dir-
ections at these locations was the result of the transport of smelter
emissions.
-------
209
Figures A-175 through A-177 show the results of this analysis for
Prescott, Winslow, and Farmington, respectively. These graphs show the
frequencies of occurrence of visual range greater than the indicated value,
only for daylight observations during which relative humidity was less than
60 percent, as a function of the surface wind direction. The purpose of
eliminating high relative humidity cases was to minimize any influence
from the dependence of relative humidity on wind direction.
When the frequencies of good visibility during the copper strike
(1967 to 1968) are compared with those during the decade 1967 to 1976,
dramatic improvements in visual range are noticeable, particularly for
wind directions that would cause the transport of smelter SOp emissions
directly to the given location (i.e., the southeasterly quadrant for
Prescott, the southerly quadrant for Winslow, and the southwesterly
quadrant for Farmington). These improvements in visibility were tested
for statistical significance by comparing the strike period observations
with the remainder of the observations in the decade 1967 to 1976. In
Figures A-175 through A-177, the points indicated with closed circles are
the wind directions for which significant improvements in visibility were
observed during the copper strike period (at the 95 percent confidence
level; that is, such differences could have resulted from chance varia-
tions with less than 5 percent probability). The most significant
increases in visual range during the st.'ike occurred at Farmington, New
Mexico, situated more than 400 km to the north and northeast of the smelters
in Arizona and New Mexico, rather than at Prescott and Winslow, which are
about 250 km north of the smelters. One explanation for the increased
visual range at the more distant locations is that if sulfate is formed
slowly in the dry desert environment, a greater amount of sulfate would
have formed in the time required for an air parcel to be transported
400 km (22 hours with a 5 m/s wind)..
-------
100
80
O LD
•r- O
4-> .
IT3
> T3
4- 0)
d) T3
to (I)
-Q
-------
.c
(J
t-
o
c
o r--
Ol 0)
ui 0)
J3 U
O X
-c at
CD Ol
•r- C
10
O r—
to
4- 3
O l/l
01
o
OJ
a.
100
80
60
40
1948-1956
1957-1966
— 1967-1976
-OJULY 1967-MARCH 1968 (COPPER STRIKE)
• WIND DIRECTIONS ASSOCIATED WITH SIGNIFICANTLY
IMPROVED VISUAL RANGE (AT THE 95 PERCENT
CONFIDENCE LEVEL) WHEN COMPARED WITH THE
REMAINDER OF THE DECADE 1967-1976
I
I
I
I
I
I
NNE NE
ENE
ESE SE SSE S
Wind Direction
ssw sw
wsw
WNW NW
NNW
FIGURE A-176.
PERCENTAGE OF DAYLIGHT OBSERVATIONS WITH RH < 60 PERCENT FOR WHICH VISUAL RANGE
EXCEEDED 97 km, AS A FUNCTION OF WIND DIRECTION, AT WINSLOW, ARIZONA, 1948-1976
-------
J-
o
4-
to .*:
c
O r—
•f- CM
+-> I—
(O
> T3
S- 0)
c
OJ
u
01
Q-
100
80
60
40
20
_L
I
NNE NE
— • 1949-1956
— 1957-1966
- 1967-1976
•OJULY 1967-MARCH 1968 (COPPER STRIKE)
•WIND DIRECTIONS ASSOCIATED WITH SIGNIFICANTLY
IMPROVED VISUAL RANGE (AT THE 95 PERCENT
CONFIDENCE LEVEL) WHEN COMPARED WITH THE
REMAINDER OF THE DECADE 1967-1976
I
I
I
IN3
rv>
ENE
ESE SE SSE S
Wind Direction
SSW
sw wsw
WNW
NNW
FIGURE A-177.
PERCENTAGE OF DAYLIGHT OBSERVATIONS WITH RH < 60 PERCENT FOR WHICH VISUAL RANGE EXCEEDED
121 km, AS A FUNCTION OF WIND DIRECTION, AT FARMINGTON, NEW MEXICO, 1949-1976
-------
213
APPENDIX B
ATMOSPHERIC OPTICS CALCULATION
-------
214
APPENDIX B
ATMOSPHERIC OPTICS CALCULATION -
Appendix B discusses the connection between prescription of the
pollutant concentration from the dispersion and chemistry components of
the models and determination and display of visibility degradation. This
relationship involves two processes:
> Calculation of the scattering and extinction properties
of the aerosol.
> Calculation of radiative transfer and display of the
visual impact.
We describe our treatment of these processes in some detail to make clear
the assumptions and simplifications behind them.
1. METHODS OF CALCULATING SCATTERING AND EXTINCTION COEFFICIENTS
This section discusses the various possibilities for determining the
scattering and absorption properties of air pollutants. Because the pro-
cess is straightforward for gases (N02), we concentrate on particulates.
First, we review the empirical relationships that have been developed
through correlation techniques among visual range, scattering coefficient,
and aerosol mass (more importantly, sulfate mass). Then we discuss the
ways in which the scattering and absorption properties of aerosols can be
computed given certain information about their size and composition. We
show how some calculations of scattering properties compare with the
empirically determined values. Finally, we discuss the way in which the
coefficients are calculated in the visibility models.
-------
215
a. Empirical Correlations Among Visual Range, Scattering
Coefficient, and Aerosol Mass
1) Visual Range and Scattering Coefficient
Middleton (1952) presented Koschmieder's result that for a uniform
medium the visual range (how far one can see a black object against the
background sky) is linearly related to the scattering coefficient of the
atmospheric aerosol. Samuels, Twiss, and Wong (1973) found that in three
California cities the correlation between visual range and scattering
coefficient measured at a point was very good (r ^ 0.8). In that study
the location of the scattering coefficient measuring device and the
observer who determined the visual range were not the same, indicating
that the spatial inhomogeneities in the cities were not large enough to
invalidate the use of a point measurement of the scattering coefficient
to compute a spatially .integrated quantity (visual range). Several
studies (Cass, 1976; Trijonis and Yuan, 1977) used visual range data to
compute an effective scattering coefficient based on the Koschmieder
relationship.
2) Scattering Coefficient and Mass
Several studies have attempted to correlate observed scattering
coefficients (or observed visual range and computed scattering coeffi-
cients) with total aerosol mass (Charlson, Ahlquist, and Horvath, 1968;
Noll, Mueller, and Imada, 1968; Ettinger and Royer, 1972; Hidy et al., 1975;
White and Roberts, 1975; Samuels, Twiss, and Wong, 1973; Grosjean and
Friedlander, 1975; Cass, 1976). Initially, Charlson, Ahlquist, and Horvath
reported a high correlation (r = 0.31); however, more recent measurements
have shown a lower correlation (Cass found r = 0.4). Samuels, Twiss, and
Wong, White and Roberts, and Cass all stated that the total aerosol mass
was a poor indicator of the scattering coefficient. Their findings indi-
cate that the size distribution of the aerosols is not the same at all
times. As we show later, the scattering-to-nass ratio is dependent on
-------
216
particle size. Thus, if the aerosol is composed of two components, one
that has a large scatterinq-to-mass ratio and another that has a small
ratio, the two could combine in such a way that variations in the scat-
tering coefficient would not show up in the amount of aerosol mass.
An analysis of the dynamics of the aerosol size distribution [see,
for example, Friedlander (1977)] for typical primary distributions would
indicate that in general one can expect secondary aerosols (those formed
by gas-to-particle conversion) to scatter more light than an equivalent
mass of the sum of primary size distributions, simply because more of
their mass accumulates in a size range where light scattering is very.
efficient. It makes sense, therefore, to attempt a multivariate analysis
to correlate various components of the aerosol (specifically, the princi-
pal secondary components and the remaining aerosol) with the light
scattering.
3) Scattering Coefficient and Sulfate Mass
During the ACHEX study in Los Angeles, it was possible to correlate
the observed scattering to the various components of the submicron parti-
cles. White and Roberts (1975) reported a high correlation of scattering
coefficients with sulfate and nitrate mass. Cass (1976) also reported such
a correlation using visibility measurements in Los Angeles. Finally, Trijonis
and Yuan (1977) reported correlations in the Southwest. Table B-l , taken from
Trijonis and Yuan (1978), summarizes sulfate extinction per mass coefficient
at various locations. Similar tables were presented by Charlson (1978, private
communication) and Trijonis and Yuan (1977). We have modified the entries for
the nonlinear regression coefficients so that both regressions are of the form:
TSP - Sulfate - Nitrate b Sulfate b Nitrate
—
Rl)
The similarity of the Los Angeles results and the results of the Southwest
visibility study are striking at low relative humidities.
-------
217
TADLE 3-1. ESTIMATES OF EXTINCTION COEFFICIENTS PER UNIT MASS
Extinction
Coefficients
[(ioW(pg/m3)]
Source
Regression models
(Trijonis and Yuan, 1978)
Regression models
(Trijonis and Yuan, 1977)
Duststoms
(Hagen and Woodruff, 1973)
Regression model
(White and Roberts, 1975)
Regression model
(Cass, 1976)
Location
Chicago
Newark
Cleveland
Lexington
Charlotte
Columbus
Salt Lake City
Phoenix
(county data)
Phoenix
(NASN da*a)
Great Plains
Los Angeles
Los Angeles
Sul fates
0.04
0.03*
(0.02)
0.06*
0.08
0.07*
0.06
0.06*
0.11
0.11*
0.12
0.13*
0.04
0.04*
0.04
0.03
NC
0.07
0.16
0.09*
Nitrates
(0.00)
(0.00*)
(0.00)
(0.00*)
(0.00)
(0.00*)
(0.00)
(0.04*)
(0.00)
(0.00*)
0.09
(0.06*)
0.13
0.10*
0.05
0.03
NC
0.05
(0.00)
0.05*
Remainder
of TSP
(0.000)
(0.000*)
0.026
0.014*
(0.000)
(0.000*)
(0.000)
0.019*
(0.001)
(0.000*)
(0.000)
(0.001*)
0.004
0.004*
(0.000)
(0.000)
0.001
0.015
0.008
(0.004*)
Calculations for a rrodel aero-
sol of (NH,)?S04 at 70% RH
(Waggoner 2t al., 1976)
Regression model
(Waggoner et al., 1975)
0.05-0.10 NC
Southern Sweden 0.05 NC
NC
NC
( ) = not significant at the 95 percent confidence level.
NC = not calculated.
*Based on nonlinear RH regression model, with insertion of average RH.
Source: Trijonis and Yuan (1978).
-------
218
Although unresolved issues such as the accuracy of the nitrate mea-
surement still exist, it is apparent that the so-called secondary aerosol
contributes significantly to the scattering coefficient. Although these
empirical correlations relate the aerosol scattering coefficient to the
sulfate mass, there are no such correlations for the scattering distribution
functions. Also, the wavelength dependence of the scattering coefficient
has not been as extensively studied, and the data show relatively wide vari-
ations. Thus, to predict coloration effects, one must calculate the scatter-
ing and absorption properties based on measured aerosol size distributions.
b. Scattering and Absorption Calculations for Aerosols
For a sphere of uniform refractive index, it is possible to obtain a
closed-form solution to Maxwell's equations. This solution, the so-called
Mie equations, enables calculation of the scattering and absorption of light
at a particular wavelength for a particle given its size and refractive
index. Computer programs for this computation exist and are readily avail-
able (Dave, 1970; Hansen and Travis, 1974). For these calculations, we
used the IBM computer program DAMIE, written by J. V. Dave (Dave, 1970).
The problem with using these calculations for particle scattering in
the atmosphere is that most of the particles are not spheres, and they are
of mixed composition. This concern over the applicability of these calcu-
lations to particles in the real atmosphere has prompted much discussion,
the salient points of which are:
> The Mie equations are essentially the only way of computing
the effect of particle size and index of refraction on scat-
tering and absorption.
> Regardless of the degree of nonspherocity and mixed composi-
tion, the particles can be considered to have an effective
radius and an effective index of refraction. These effective
values are determined by comparing calculations with observed
scattering and absorption (Bergstrom and Peterson, 1977).
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219
To describe a particle's interaction with light, one must know its
scattering coefficient, absorption coefficient, and scattering distribu-
tion. The scattering coefficient, b . , is a measure of the particle's
ability to intercept light and to redirect it. The absorption coefficient,
b , , is a measure of the particle's ability to absorb light. The descrip-
tion of the probability of the redirection of the scattered light into a
particular angle 0 is called the scattering distribution function (or phase
function).
The scattering coefficient for a single particle is defined as:
bscat = Acat^'r>") (B-])
where
r = the radius of the particle,
^scat = the Scattenn9 efficiency factor computed
from the Mie equations,
A = the wavelength,
n = the index of refraction.
The absorption coefficient is similarly defined as:
babs = ^2QU,r,n) . (B-2)
where Q, is the absorption efficiency factor. The sum of the scattering
and absorption coefficients is called the extinction coefficient, b . .
When there are many particles. of different sizes in a particular volume
element, the total scattering and extinction coefficient is simply the inte-
gral over size:
=/
Qexts(r) dr
(B-3)
-------
220
where n(r) is the number distribution (number of particles per radius
2
interval) and s(r) is the surface area distribution equal to -rrr n(r).
scattering distribution function p(o) is written:
2 f1"
p(e)= >_ 1 [1,1(0) + i, (s)ln(r) dr , (B-4)
Dscat •{, L H -L J
where in and ij are the intensity of parallel and perpendicularly polarized
li -I
scattering radiation, respectively (computed from the Mie equations).
The scattering and extinction coefficients are usually expressed per
then:
unit mass (aerosol density, yg/m ). The quantity for a single particle is
"ext.
and for many particles,
(r) dr I Q
f
Jr\
h I CAl- J ext
ext- ° - ° -, . (B-6)
|)P I ,r3n
(r) dr
'0
The curve of Eq. (B-5) for A = 0.55 pm and various indices of refraction is
shown in Figure B-l from Bergstrom (1973). As shown in this figure, the
function approaches zero as r + 0 (for nonabsorbing particles) and also as
r ->• °°. The scattering-to-mass ratio goes through a maximum, indicating that
on a per-mass basis particles with radius ^0.3 ym are much more effective
light scatters than are larger or smaller particles.
For large particles (27rr/x > 3), Q t -»• 2 and the function becomes
(3/2)(l/pr ) , so that a particle at 10 ym is approximately 10 times less
-------
10.0-
fO
S_
»•
x
a;
TT = 2.0 - 0.661
7T = 1.5 - 0.051
7T = 1.5 - 0.021
7T = 1.5 - 0.001
221
0.001
0,01
0.1
r (ym)
u>
Source: Bergstrom (1973)
100
FIGURE B-l. EXTINCTION AND ABSORPTTQN PER UNIT MASS AS A FUNCTION
OF PARTICLE RADIUS FOR FOUR DIFFERENT REFRACTIVE INDICES
AT A SOLAR WAVELENGTH OF 0.55 vm
-------
222
effective in scattering per unit mass than a particle of. 1 ym. Therefore,
if a small percentage of the total mass is in the range of maximum effec-
tiveness, it will dominate the light scattering. This fact explains why
sulfates and other secondary aerosols that contribute only a small part of
the total mass dominate the light scattering. Figure B-2 shows for an
aerosol with a lognormal size distribution the scattering per unit mass
(for a particle density of unity) as a function of the aerosol mass median
radius (r ) for various geometric standard deviations for a refractive
v og 3
index of 1.5 - Oi and A = 0.5 ym. To convert to the units of Table B-l,
divide the values in Figure B-2 by the particle density. Figure B-2 shows
that significant changes in the aerosol size distribution (0.1 ym < r < 1 ym)
result in only relatively small changes in the scattering-to-mass ratio,
which helps explain why the various empirical studies have achieved good
correlations and why the range of coefficients is not large.
o.io
10.0
FIGURE B-2. SCATTERIU^-TO-MASS RATIOS FOR VARIOUS SIZE DISTRIBUTIONS
-------
223
Calculating the coloration effects of the aerosol (discussed in
Chapter III) requires knowledge of the wavelength dependence of the extinc-
tion coefficient and the scattering distribution function. This information
is obtained by evaluating these quantities from the Mie equations for the
wavelengths in the solar spectrum. The extinction coefficient is often
parameterized by:
bext * r° •
where c is either 1 or 2, depending on the aerosol size distribution. For
the background aerosol, c is about 2 for the accumulation mode and closer
to 0 for the coarse mode.
The dependence of the scattering function on wavelength has been shown
to result in a coloration effect by Husar and White (1976). Accumulation
mode particles scatter more blue light than red light in the forward direc-
tion and more red light than blue light in the backscattered direction.
This effect is shown in Figure B-3, which also illustrates the angular
dependence of the scattering distribution function.
The calculations can be extended to include the effects of relative
humidity. Since, as shown in Figure B-2, the scattering per unit mass is
not a stronq function of the aerosol mars median radius for 0.1 < r < 1.0 urn,
we can approximate the scattering of a particle growi'ng hygroscopically
with relative humidity as the product of the scattering-to-mass ratio for
the dry sulfate aerosol and the mass of sulfate and water, i.e.,
A«t '(V)sulfate ' (*»s., fate * "-Water) '
Then, following Winkler (1973), we can write the mass of water in terms of
relative humidity (RH), and the expression becomes:
* •"•» ' • c-»
-------
224
i
0.9
0.8
0.7
0.6
0.5
0.1
0.3
0.2
0.1
• X * 0.4 urn (BLUE)
> X = 0.7 urn (RED)
20 40 60 80 100 120 140 160 180
Scattering Angle, p (degrees)
FIGURE B-3. THE SCATTERING DISTRIBUTION FUNCTION FOR THE ACCUMULATION MODE,
r = 0.1 ym, a = 2.0 ym AT-TUO DIFFERENT WAVELENGTHS
-------
225
where C*F(RH) are tabulated values. This expression accounts for the increase
in scattering due to the growth of the particle by relative humidity.
c. Comparison of Observed and Predicted Scattering-to-Mass Ratios
The range of the coefficient of the scattering-to-mass ratio, in units
-4 3
of 10 /m • l/(pg/m ), is from 0.03 to 0.1 depending on the correlation
technique and the investigation. Figure B-2 shows that for a particle den-
sity of 1.8 g/cm (ammonium sulfate), the maximum particle scattering-to-mass
ratio is about 0.037 in the same units. This raises some questions about the
observed values. It seems most likely that the higher values (mostly from
Los Angeles data) can be explained by the presence of sulfate found in water
droplets. Two analyses (Cass, 1976; Trijonis and Yuan, 1977) attempted to
account for the water effects through nonlinear regression analysis of the
o
form:
bscat = (1 - RH) ' MSulfate
This form is similar to Eq. (B-7), which we derived from Winkler's results.
We compared the dependence of the scattering-to-mass ratio on relative humid-
ity determined by Trijonis and Yuan with our calculations using Eq. (B-7)
and the following assumptions:
> Aerosol with a lognormal size distribution and a mass
median diameter of 0.2 pm and a geometric standard
deviation equal to 2.0.
Index of refraction equal to 1.5 - Oi.
Density equal to 1.8 g/cm ,
Light of 0.5 pm wavelength.
Figure B-4 shows the striking agreement between our calculations and the
dependence of scattering-to-mass ratio on relative humidity observed by
Trijonis and Yuan in the Southwest.
If we use an accumulation mode bscat/V = 0.06 x.lO-4/(pm3/cm3) we obtain
bscgt./(yg/m3 $04) ranging from 0.034 to 0.046 x 10~4 m'Vug/m3 depending
on whether the sulfate is H?SOd or (NHabSOa-
-------
226
0.14
0.12
0.10
O
1/1
CD
0.08
2 0.06
ro
o
to
0.04
0.02
0.20
0
0 CALCULATED VALUES
^ TRIJONIS AND YUAN (1977)
I
0.40 0.60
Relative Humidity
0.80
170
FIGURE B-4. RATIO OF LIGHT SCATTERING TO MASS AS A FUNCTION
OF RELATIVE HUMIDITY
-------
227
The results shown in Figure B-4 are encouraging because they imply
that, for a first approximation, the dynamics of aerosol growth need not be
considered and that accumulation mode size distributions suffice in calcu-
lating the visual impact of sulfate aerosol particles. Size distribution
information is still required, however, for the primary particles. The
size of the particles has an effect on the coloration of all but very
large particles. Size also affects the scattering phase functions. Small
particles are much more isotropic (equal probability of scattering to all
angles) than large particles. Large particles scatter mostly in the for-
ward direction and have highly irregular backward scattering distributions
(see Hansen and Travis, 1974).
d. Procedure for Calculating the Extinction Coefficients
and Scattering Distribution in the Visibility Model
For the given size distributions of the particles, the extinction
coefficients and scattering distribution functions are calculated from the
Mie equations. The index of refraction is assumed to be 1.5 - Oi for all
particles, and the calculations are made for wavelengths between 0.37 and
0.75 ym. The effect of relative humidity on the accumulation mode parti-
cles is included as described.
The current procedure assumes that the sulfate particle size does not
change with distance from the source, b-^c the effect of particle growth with
distance could be easily included by recomputing the extinction coefficient
and scattering distribution function for time-dependent size distributions.
2. METHODS FOR CALCULATING AND DISPLAYING VISUAL DEGRADATION
AND DISCOLORATION
As .previously pointed out, visibility impairment means a change in a
given observer's visual perception of the terrain or atmospheric features.
The cause of the change can be subtle—for example, a general haziness (the
regional problem)--or dramatic—for example, a large plume of smoke (the
plume problem).
-------
228
Visibility has historically been associated with the term "vis.ual
range," which is the distance at which a black object can be seen against
the background sky. The reason for this association is that many people
(e.g., military or airport personnel)- have been interested in detecting
an object and that visual range is easy to calculate and relatively easy
to determine. But visual range.does not indicate, for example, whether a
plume of smoke is visible to an observer. Thus, the question of visual
degradation and discoloration goes well beyond the concept of visual range.
Jerskey and Burton (1977) recently reviewed visibility measurement
programs and currently available visibility models. The influence of aero-
sols and N02 on the coloration of haze.has been debated by Hodkinson (1966),
Charlson and Ahlquist (1969), Horvath (1971), Waggoner and Charlson (1971),
Waggoner, Charlson, and Ahlquist (1972), Horvath (1972), Husar and White
(1976), and Megaw (1977). Both aerosols and N02 can produce discoloration,
and the relative importance of each depends on the situation.
Some work has been reported on the problem of relating plume opacity,
Ringlemann number, and mass concentration (Conner and Hodkinson, 1972;
Pilat and Ensor, 1971; Halow and Zeek, 1973; VJeir et al., 1975, 1976).
Also, recent studies have investigated the transmission, visual range,
and coloration effects of plumes (Ensor, Sparks, and Pilat, 1973; Williams
and Cudney, 1976; Jarmen and DeTurville, 1969; Latimer and Samuelsen, 1977).
In Section 2 we dicuss the ways in which visual effect (changes in
light intensity and coloration) can be calculated. We begin with basic
equations to show that the methods used in the calculations apply the same
principle once or several times. We then present the techniques used in
the visibility models.
a. Intensity. Contrast, and Visual Range
In the daytime, the ability to see an object that is not self-
illuminating is determined by the contrast in intensity between the object
and its background at the point of observation. This contrast is defined
simply as:
-------
229
C E
where Ib is the intensity [Energy/(Time • Area • Solid Angle)] of radiation
(often called radiance, luminance, or brightness) from the background and
I .. is that in the direction of the object. The physical situation repre-
sented by this equation is depicted in Figure B-5. For a given object and
set of atmospheric conditions, the contrast is a function of the location
of the observer, ~s; the direction of the observation, fi; and the solar angle,
n . The contrast must also be defined for a particular wavelength interval
(e.g., 0.55 pm). The visual range, r , is the distance at which an object
can no longer be distinguished from the background. This indistinguisha-
bility occurs when the contrast is reduced to some minimum value (usually
0.02).
FIGURE B-5. DIAGRAM OF THE PHYSICAL SITUATION
-------
230
1) The General Expression for the Radiant Intensity
and the Contrast
The background intensity at a particular wavelength looking up from
the surface can be written as:
Ib(n.s) =
Kn'.-r1) p(n'-K2,T') dn1 e"T dt' , (B-8)
where
f
T = the optical depth (t E J b . dr, where b . is
the extinction coefficient),
w = the albedo for single scattering (w = b t/b .,
where b . is the scattering coefficient),
scat
n) = the scattering distribution function for
the angle n1 -> n,
I = the downward-directed intensity at the edge of
oo
the atmosphere.
Equation (B-8) is valid for the usual continuum, no refraction, random polari-
zation assumptions.
The intensity seen by an observer in direction n of an object at a
distance R is:
Iob£j(n.s) -
rTR
+ I ")\L / I Mr,1 r>\ n(n>^ ,M Ani ^-T
r - r
*&
'
1 e di1 , (B-9)
0
-------
231
where I0(fi) is the intensity leaving the object. The general expression
for contrast is then simply:
Iobi(n)e TR + 6(Tp)
C(n,s) = 1- -233 - _ - R_ f (B-10)
- + G(xJ
where
G(
T) = f sL^L f Kn'.i') p(n'-KJ.T') dn' e'1' di1
* '=
To evaluate Eq. (B-10), one nust know the intensities I(n',T'), IQ
and I (n) and the radiative properties of the atmosphere. Usually some
oo
simplifications are introduced to determine these quantities.
2) Radiation Field Approximations
The first assumption is that the radiation field is plane parallel;
hence:
This assumption is valid if local inhor.ogeneities do not affect the radia-
tion field and if the curvature of the earth is ignored.
In the visible spectrum, the intensity can be divided into the direct
solar radiation, 1, and diffuse (scattered) solar radiation, l . Then,
Is(n,z) =
™ T / 1J
= Fse z
-------
232
rz
where T =/ b , dz, p is the cosine of the solar zenith angle, and F is
^ & GXL S ' S
the solar flux normal to ray. Then,
Ib =
f00 ^') ( id1V,T') p(n'-Ki) dn1 e"T' di' . (B-13)
-Vl *Vi ' -/I ~
If Idlf is isotropic so that Idlf (fi,z) = Isif(z), then,
+ J *(T')Id1f(z)e-T'
with similar expressions for
The next assumption concerns the radiative properties of the back-
ground atmosphere. To evaluate the integrals in Eq. (B-14), one must pre-
scribe the dependence of p, u, and I along the optical path T. The normal
assumption is to represent the inhomogeneous atmosphere by a series of
homogeneous layers.
We chose to divide the atmosphere into two layers (see Figure B-6)--an
upper layer and a planetary boundary layer—because this structure has been
shown to be a reasonable approximation (Bergstrom and Viskanta, 1974). The
two layers are assumed to be homogeneous in the optical depth T, not the
vertical coordinate z, and thus we can still account for the vertical vari-
ation in the scattering and extinction coefficients.
-------
PLANETARY BOUNDARY LAYER
OBSERVER LOCATION, 0
IN3
CO
OJ
FIGURE B-6. DIAGRAM OF THE TWO ATMOSPHERIC LAYERS
-------
234
We can now write an expression for the radiant intensity impinging
on the planetary boundary layer as:
TOD
whi.ch we approximate as
where
up, , Pp. = the average albedo and scattering distribution
in the upper atmosphere, respectively,
y = the cosine of the zenith angle,
$ = the azmuthal angle,
0S = the solar scattering angle.
Figure B-7 shows the definition of the zenith and azimuth angles and also
the solar scattering angle, 0g. .
Then Eq. (B-14) becomes for the horizon sky:
rOD -T /y
,
e s e"T dt1
'0
•r
dif
+• co!(z)e"T di' . (B-16)
Then, defining the averages for the planetary boundary layer,
-------
235
Z,T.
= 0
SOLAR
SCATTERING
ANGLE. 0
LINE OF SIGHT
FIGURE B-7. COORDINATE SYSTEM AND ANGLES
-------
236
rTOD
Fs
/uu
-
and
rTo»
av
WOD(1 '
so that Eq. (B-16) becomes:
and the intensity in the direction of an object is:
For a nonhorizontal path, the plane parallel assumption gives:
TOD = Tz,Om/iJ
For a horizontal path, s, the plane parallel assumption is not valid.
However, for an exponential vertical profile,
bext '
-------
237
and
and ds = R dz/s, where R is the radius of the earth. Then,
_ bext.o
T0«> -- 2
and
TOD Vbext,0
so that the optical depths for a horizontal path can be evaluated.
The last assumption that must be made concerns the average fluxes. The
solar average was taken as the average between the solar direct flux at the
surface and at H .
Fdl>(0) + Fdl>(Hn)
Fs,av= - 1 - - '
-------
238
require a relatively large amount of computer time. Thus, we decided to
proceed with a relatively simple approximation, which, after testing, could
be modified if necessary.
The approximation was to equate the flux at the top of the atmosphere
and the bottom, i.e., to assume no absorption. Thus,
Then, if we assume that equal amounts of diffuse flux emerge from the top
and bottom,
Fd1ft(T ) = Fdifl(0)
and one can solve for the diffuse flux at the surface:
F l - e~T°>S (1 - r)
u
where r is the reflectivity of the surface. One can form an equivalent iso-
tropic intensity I as:
where Fro = y F . The average diffuse intensity was assumed to be equal to
this "equivalent isotropic intensity," and an average surface reflection of
0.3 was used. The treatment of the diffuse light is extremely heuristic,
and it is intended to provide only an estimate until better models are
-------
239
developed. The evaluation of the model requires feedback between observa
tions and predictions so that 'improvements can be made.
The expression for the background sky becomes:
TOD
/ \
b(u,*) =
' e
(B-22,
and for the intensity in the direction of an object, °
y>*) = I0(p,*)e TR + .OD POD(es)FStav(l - e T
(B-23)
JOD
3) Specific Procedure for Evaluating the Intensities and the
Limitations in the Reaional and Plume Models
The procedure for evaluating the i 'tensities in the regional model is
to add the radiative properties of the sulfate and NCL due to anthropogenic
sources to the background atmospheric properties. Then the intensity of
the background sky at the surface can be evaluated from Eq. (B-21) and the
intensity of an object from Eq. (B-22). The contrast can be evaluated from
the definition as:
For an optically thick path through the planetary boundary layer,
TOD
-------
240
and the contrast of a black object is:
~TR
Cblack = e
If a detectibility criterion of 0.02 is chosen, the optical depth corre-
sponding to that minimum detectibility criterion is TR = 3.912. Now,
r
v
TR E / bext(r) dr
I
and for a homogeneous atmosphere TR - b extrv- Then, one can solve for r :
rv = 1^ . (B-24)
ext
This is the Koschmieder expression for the visual range.
For a vertically inhomogeneous atmosphere, one can approximate Eq. (B-24)
as:
r * ~ (B-25)
v bext,0
where b . n is the surface extinction coefficient. Equation (B-24) then
GXT* » U
gives an estimate of the distance at which a black object will have an 0.02
contrast with the horizon sky. Initial calculations at 0.55 ym wavelength
show that the actual contrast at the distance computed from Eq. (B-24) is
within 20 percent of 0.02. Thus, we have used Eq. (B-24) in evaluating the
visual range in the regional model.
To evaluate the intensities in the plume model, we must describe the
intensity incident on the plume. From Eq. (B-21),
-------
241
[adjf(l - e~TR~) , (B-26)
where R is now the distance from the plume to the observer. The intensity
leaving the plume is:
where u and p are the mean quantities in the plume and T is the optical
depth of the plume. For a Gaussian plume, the optical depth is (Latimer
and Samuel sen, 1975) :
]/2
in the horizontal cross-wind direction y, and
H+ z2 z2
i)
Ji
in the vertical direction 2. In these equations, H is the plume height, az
and o are the standard deviations, and b - . is the centerline extinc-
y exi.,max
tion coefficient. The plume albedo is:
TNO
u = 1 -- - - - (B-28c)
p TS04 + TN02 + Tprim
Note that Eq. (B-27) ignores the effect of the plume on Fr ,„ (shadowing)
b jQV
and is thus valid only for optically thin plumes.
The intensity at the observer's location is [from Eq. (B-23)]:
-------
242
~TR — - / -Tr
The contrast of the plume is then:
r -
"
'b
where Ib is calculated from Eq. (B-22) as usual and I is calculated from
Eqs. (B-26), (B-27), and (B-28).
The intensity of an object behind the plume incident on the plume is
0-30)
where Tpj0bj is the optical depth of the atmosphere between the plume and the
object. Then Eqs. (B-27) and (B-29) are evaluated to compute the intensity
at the observer's location, where I. is replaced by I. in Eq. (B-27).
The contrast of an object is again:
except that now I . . is evaluated from.Eqs. (B-30), (B-27), and (B-29), in
that order.
Tables B-2 and B-3 present the equations and limitations for the
regional model and plume model, respectively.
-------
243
TABLE B-2. EQUATIONS AND LIMITATIONS FOR THE
REGIONAL MODEL
Quantity
Predicted
Background sky
Object
Contrast
Koschmieder
visual range
Equation Used
Approximations
and Comments
(B-22)
(B-23)
Definition
(B-25)
Two plane parallel layers
Average solar flux
Average diffuse intensity
Average solar flux
Average diffuse intensity
Implies homogeneous opti-
cally thick boundary layer
TABLE B-3. EQUATIONS AND LIMITATIONS FOR THE
PLUME MODEL
Quantity
Predicted
Background sky
Optical depth
of plume
Intensity of
background °
sky through
plume
Intensity of
object through
plume
Equation Used
Approximations
and Comments
(B-22)
(B-28)
(B-26). (B-27), (6-29)
(B-30), (B-27), (B-29)
Two plane parallel layers
Average soUr flux
Average diffuse intensity
Assumes Gaussian plume
Average solar flux
Average diffuse intensity
Implies optically thin plume
Average solar flux
Average diffuse intensity
Implies optically thin plume
Contrast
Definition
-------
244
APPENDIX C
THE CHEMISTRY OF SULFATE FORMATION
-------
245
APPENDIX C
THE CHEMISTRY OF SULFATE FORMATION
Sulfur oxides in the atmosphere can most conveniently be considered as
occurring in three forms: sulfur dioxide (802), sulfuric acid (HpSO,), and
inorganic sulfates. Sulfur dioxide is the anhydrous form of the weak acid,
sulfurous acid (HpSO-J. The salts of this acid are sulfites and bisulfites.
Sulfuric acid is the hydrated form of sulfur trioxide (SO,), which is de-
0
rived from the oxidation of sulfur dioxide. Sulfur trioxide is intensely
hygroscopic and is immediately converted into sulfuric acid in the atmos-
phe/e. Inorganic sulfates are presumably derived from either the reaction
of sulfuric acid with cations or the oxidation of sulfites. There is little
information available concerning the formation and occurrence of organic sul-
fates in the atmosphere.
The oxidation of SCL to sulfate is an important atmospheric phenomenon.
It is now recognized that both homogeneous (gas-phase) and heterogeneous
(particulate-phase) processes contribute to SOp oxidation in the atmosphere.
Possible routes that have been identified are:
> Homogeneous—Oxidation of SOp -o H?S04 b^ free radicals present
in the polluted urban (particularly photochemical) atmosphere.
> Heterogeneous
- Liquid-phase oxidation of SOp by Op
- Liquid-phase oxidation of S02 by 0,
- Metal-ion-catalyzed liquid-phase oxidation of SOp
- Catalytic oxidation of SOp on particle surfaces.
Sulfur dioxide oxidation rates measured in the laboratory or inferred
from atmospheric data vary remarkably. These rates are frequently expressed
»
in percentage per hour. Assume that we have a curve of SOp concentration,
-------
246
[SCL], as a function of time, t. At any time t, the fractional rate of
disappearance of SCL is given by :
d[S02]
dt
and the oxidation rate in percent per hour is simply
, d[S02]
X 1 Off .
An average oxidation rate is a constant, equal to 100k. The characteristic
time of the conversion in the first-order case is readily obtained from the
integrated form :
as T = k~ . Thus, the characteristic time of the oxidation process can be
obtained from the rate, expressed in percent per hour, as T = 100/(%/hr).
(Note that after one characteristic time the concentration has decayed to
1/e of its initial value.) The characteristic times of SOp oxidation vary
from a few minutes to several days. Sulfur dioxide in pure air is
slowly oxidized in the presence of sunlight to sulfuric acid at a rate of
about 0.1 percent per hour (Gerhard and Johnstone, 1955). Although current
information characterizing the chemical processes by which SOg is oxidized
in polluted urban air is inadequate, we do know that the conversion is much
more rapid than in pure air. This accelerated conversion is due to the
presence of other air contaminants that generally facilitate the oxidation
of SOo- As noted above, two processes appear to be involved: homogeneous
oxidation by components (e.g., free radicals) present in photochemical smog
and heterogeneous oxidation predominantly by certain types of aerosols.
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247
Homogeneous (photochemical) oxidation of SCL is believed to result
from reaction of SCL with a variety of free radicals present in photochem-
ical air pollution. Rates of oxidation of SCL in Los Angeles have been
estimated to range as high as 13 percent per hour, though these rates can-
not necessarily be attributed exclusively to photochemical oxidation.
Heterogeneous oxidation of SCL occurs in aerosols in which SCL has
been absorbed. Such oxidation may occur through the action of dissolved
oxygen or ozone, or it may take place catalytically in the presence of
metallic compounds, such as manganese, iron, vanadium, aluminum, lead, and
copper. Prediction of the rate of SCL oxidation in a particle has proved
to be quite difficult, for diffusion of gaseous SCL to the particle, trans-
fer of SCL across the gas-particle interface, and diffusion and reaction of
SCL within the particle must all be considered. Relative humidity is a
significant factor in heterogeneous SCL oxidation because the process takes
place, in general, in water droplets. Further, since an acidic pH generally
decreases the rate of SCL oxidation, the formation of sulfuric acid in an
aerosol would tend to be self-liiriting unless the acidity is diluted by
additional water vapor. In this respect, alkaline metal compounds, such
as iron oxide and ammonia, also enhance the oxidation rate by decreasing
droplet acidity through their buffering capacity. Extrapolated rates of
oxidation through heterogeneous processes in urban air range upwards of
20 percent per hour.
0
Meteorology has a substantial effect on the atmospheric oxidation of
S02- Increased humidity accelerates the heterogeneous oxidation of S02,
whereas cloud cover can lower the rate of photochemical processes, and
rain washes out sulfur oxides from the atmosphere. Temperature affects
reaction rates and the solubility of gases.
Table C-l summarizes several S02 oxidation rates measured in the labor-
atory and the atmosphere, varying from a low of 0.1 percent per hour for
photooxidation of SOp in clean air to over 2 percent per minute measured
-------
248
TABLE C-l.. OBSERVED SULFUR DIOXIDE OXIDATION RATES
Experimental Conditions
Atmospheric study of Canadian
smelting area
Sunlight; high SO? concentrations;
no other Impurities present
Sunlamp 1n smog chamber; high SO?
concentrations 1n pure air
Catalyst droplet exposed to high
concentrations of SO? and metal
sulfates
Artificial fog 1n smog chamber;
very high levels; SO; and metal
sulfates
Plume of coal-burning power plant
NH^ formation In water droplets
exposed to NH3 and SO?
UV-lrradlated gas mixtures; NO ,
hydrocarbons, SO?; high levels
Sunlight; 200-2000 ug/m3 S02;
trace Impurities
Smog chamber; light; SO?, NOX,
oleflns
Metallic aerosol particles on
Teflon beads 1n flow reactor; SO?;
water vapor
Photochemical reactants; SO? In
ppm concentrations
Atmospheric study of Rouen
(Industrial city) 1n winter
Los Angeles air trajectories
Plume of an oil-fired power
plant; airborne sampling
St. Louis urban plume; airborne
sampling
Plumes of four coal-fired power
plants; airborne sampling
Smelter plume; airborne
sampling
Presumed
Atmospheric Conditions
150-4200 ug/m3 SO?
SO?; sunlight; clear air
SO?; sunlight; clear air
(reaction unaffected by
humidity)
Natural fog containing 1 v
crystals of MnS04 1n drop-
lets; 2600 ug/m3 SO?
(Levels In smog chamber)
0.6 mg/m3 SO?; 2 mg/m3
Moisture level 1n plume
Important
100 ug/m3 SO?; 10 ug/m3 m^;
cloud droplet radius of 10 um
Noon sun
Assumed 300 ug/m3 SO?;
bright sunlight for 10 hr
would produce 30 ug/m3 of
sulfate
SO?, 260 ug/m3; ozone, 100
ug/m3; olefln, 33 ug/m3,
bright sunlight
Natural fog (0.2 g H?0/m3)
1n Industrial area; SO?,
260 ug/m3; MnSOa, 50 ug/m3
Sunlight; SO?; 260
ozone, 200 ug/m3; olefln,
33 u9/m3; 40X RH
68-242 ug/m3 SO?
Catalytic oxidation by vana-
dium particles; distance
<25 km
900-1200 m altitude 20-25 °C;
40-60X RH
32-85X RH; 10-25°C; distance
<70 km
Catalytic oxidation
S02 Oxidation Rate
0.034 X/mln
0.5 X/hr
0.1-0.2 X/hr
1 X/m1n
0.01 X/m1n at 77X RH
2.1 X/m1n at 95X RH
0.1 X/m1n at 70X RH
0.5 X/m(n at 100X RH
2.5 X/m1n 1n droplets
1-3 X/hr
0.65 X/hr (high rate
may be due to trace
Impurities)
3 X/hr for pentene;
0.4 X/hr for propene
2 X/hr
3 X/hr
6-25 X/hr
1.2-13 X/hr
Pseudo-second-order
mechanism; rate con-
stant • 1/ppm/hr
10-14 X/hr
•0 X/hr
Pseudo-second-order
mechanism; rate con-
stant • 0.2/ppm/hr
Reference
Katz (1950)
Hall, as cited by
Urone and Schroeder
(1969)
Gerhard and Johnstone
(1955)
Johnstone and
Coughanowr (1958)
Johnstone and Moll
(1960)
Gartrell, Thomas and
Carpenter (1963)
van der Heuvel and
Mason (1963)
Urone et al. (1968)
Cox and Penkett
(1970)
Cox and Penkett
(1971a, 1971b)
Cheng, Corn, and
Frohllger (1971)
Cox and Penkett
(1972)
BenaHe, Nonat, and
Menard (1973)
Roberts and Fried-
lander (1975)
Newman, Forrest, and
Manowltz (1975)
Alkezweeny and
Powell (1977)
Forrest and Newman
(1977a)
Forrest and Newman
(1977b)
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249
in water droplets. In the following sections, we consider the elements
of both homogeneous and heterogeneous processes in an attempt to
estimate the contribution of each to the atmospheric oxidation of
so2.
1. HOMOGENEOUS OXIDATION OF S02
Although several homogeneous (gas-phase) reactions for the atmospheric
oxidation of SO,, are known, we review only those that have been studied.
a. Reaction of SO,, and Atomic Oxygen
Sulfur dioxide can be converted to SO- through the reaction
S02 + 0 + M -* S03 + M , ka = 2.8 x 10"5/ppm2/min . (C-l)
The source of oxygen atoms, 0(3P), for Reaction (£-11 is. largely from the
photolysis of N0?:
N02 + hv •*• NO + 0 . (C-2)
The primary competition for the oxygen atoms is from the ozone-forming
reaction
0 + 02 + M -*• 03 + M , kc = 2 x 10"5/ppm2/min . (C-3)
Oxygen atoms can be considered to be in a steady state as a result of
Reactions (C-l) and (C-2) [Reaction (C-l) has a negligible effect on the
concentration of oxygen atoms]:
k,[N0]
[0
ss
The rate of Reaction (C-l) is estimated from:
d[SO«]
- '
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250
and thus, the characteristic time for SCL oxidation by Reaction (C-1) is:
kc[o2]
Assuming [NOp] = 0.1 ppm, [02] = 2.1 x 10 ppm, and kb = 0.4/min, a value
typical of Los Angeles noonday intensities, we obtain T = 4 x 10 min.
a
Thus, the reaction of S02 with oxygen atoms is not an important SOp oxi-
dizing process in the atmosphere.
b. Reaction of SO,, and Hydroxyl Radicals
The characteristic time for the reaction
S02 + OH + M -*• HOS02 + M , krf = 9.8 x 102/ppm/min* (C-4)
(Atkinson, Perry, and Pitts, 1976) is:
Td = kd[OH] -1
Hydroxyl radical concentration measurements in ambient air were reported by
Davis, Heaps, and McGee (1976). Peak OH concentrations in urban air were found
73-7
to exceed 10 molecules/cm (-10 ppm). Based on this value of [OH], we obtain
4
T. = 10 min. The fate of the HOSOp product is essentially unknown; it is usu-
ally assumed that it hydrates in some manner to form sulfuric acid.
c. Reaction of SO,, and Hydroperoxyl Radicals
The characteristic time for the reaction
S02 + H02 -»• S03 + OH , kc = 1.3 ppm/min (C-5)
(Payne, Stief, and Davis, 1973) is:
Bimolecular rate constant at 760 torr.
-------
Te =
251
ke[H02] "
Hydroperoxyl radical concentrations in ambient air have not been measured.
Simulations of smog photochemistry yield approximate HCL concentrations of
-4 4
10 ppm. Thus, we estimate T = 0.8 x 10 min.
d. Reaction of SO,, and Organic Free Radicals
Several reactions involving organic free radicals could possibly serve
as S02-oxidizing steps, for example,
R02 + S02 + S03 + RO
RO + S02 + M -*. ROS02 + M
Rate constants for these classes of reactions are generally not now known.
Estimates for these rate constants appear in Table C-2.
TABLE C-2. ESTIMATED CONTRIBUTIONS TO ATMOSPHERIC S0? OXIDATION RATE
BY HOMOGENEOUS CHEMICAL REACTIONS
Rate Constant Contribution to S0?
at 25°C Oxidation Rate
Reaction (per ppm-min) (%/hr)
S02 + 0 + M + S03 + M 28* 1.5 x lO'3
S02 + OH + M •»• HOS02 + M 9.8 x 102* 0.6
S02 + H02 + S03 + OH 1.3 0.75
S02 + RO + M + ROS02 + M 5* 0.03§
S02 + R02 + S03 + RO 1.5** 0.9s
Pseudo-second order at 760 torr.
•!• Estimate (Sander and Seinfeld, 1976).
§ Assuming that [R02] = 1Q-4 ppm and [RO] = 10~6 ppm.
** An estimate based on the assumption that this reaction should
proceed about 30 percent faster than that for S02 + HOo (Sander
and Seinfeld, 1976).
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252
e. Summary
Table C-2 summarizes the estimated contributions of the homogeneous
reactions discussed in this section to the overall rate of SO^ oxidation
in the atmosphere. The total estimated SOp oxidation rate from these^
processes in a smoggy atmosphere is 2.3 percent per hour, a value'compar-
able to those inferred from ambient measurements of SCL-to-sulfate con-
version rates.
2. HETEROGENEOUS OXIDATION OF S02
As noted above, the heterogeneous oxidation of S02 can take place
through the following mechanisms:
> Liquid-phase oxidation of S02 by 02
> Liquid-phase oxidation of S02 by 03
> Metal-ion-catalyzed liquid-phase oxidation of S02
> Catalytic oxidation of S02 on particle surfaces.
In this section, we briefly review studies that have led to S02 oxidation
rates for these mechanisms.
a. Liquid-Phase Oxidation of SOp by 0,,
Although liquid-phase (uncatalyzed) oxidation of S02 by 02 has been
studied for many years, there is no clear understanding of the primary
reaction mechanism. The rate of sulfate formation is usually expressed
as first order in the concentration of sulfite ion:
o ' '
d[SO=]
-^- - ks[so=3] .
Table C-3 summarizes several values of k$ determined experimentally. Within
the pH range 5 to 6, a reasonable average of the data is represented by
k = 10"3/sec. The rate constant recommended for use is that of Larson,
Horike, and Harrison (1977).
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253
TABLE C-3.- RATE CONSTANTS k FOR THE LIQUID-PHASE OXIDATION
OF S02 BY 02*
(per sec)
Comments
1.7 x 10
,-3
3 x 10
,-3
-3
3.5 x 10
3.7 x 10"3 - 0.6 x 10"3
6 x 10"3 - 0.6 x 10"3
1.2 x 10~4[H+]~°'16
([H+] in mole/0
0.013 + 59[H+]°-5
([H+] in mole/0
KI T KMn j . L» J
' l k3P02
k, = (4.8 i 0.6) x 10-3/sec (298°K)
k = (4.9 i 1.0)/sec/M1/2
k, = (3.9 i 0.6) x 10"12/sec/M atm
pH « 6.8, 25°C from measurements of
der Heuveland Mason (1963)
25°C
pH = 7, 25°C
pH = 4-6, 25°C with 0.6 x 10"3 at pH = 6t
pH = 7-8, 25°Ct
pH = 3-6, 25°C
pH = 6, 25°C from measurements of Fuller
and Crist (1941)
pH = 4-12, 5-25°C, pQ * 0.11-1.0 atm
Reference
Scott and Hobbs (1967)
Miller and de Pena(1972)
Winkelmann (1955)
Brimblecomb and Spedding
(1974)
Schroeter (1963)
Beilke, Lamb, and Mueller
(1975)
McKay (1971 )§
Larson, Horike, and
Harrison (1977)
* d[SOj]/dt • k5 [SO'].
t The value given 1n the table has been computed for the pH range stated by Belike and Gravenhorst (1977).
i Belike and Gravenhorst (1977) concluded that the value obtained by McKay (1971), deduced from the measurements
of Fuller and Crist (1941), 1s unrealistically high because Fuller and Crist did not account for the variation
1n pH during the course of the reaction.
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254
b. Liquid-Phase Oxidation of SOp by 0^
Sulfur dioxide is oxidized in aqueous solution by ozone. In Table C-4
we summarize three studies that have led to rate expressions for this pro-
cess. Larson, Horike, and Harrison (1977) evaluated the significance of
the Op and 03 reactions to the atmospheric oxidation of SO,,. They concluded
that the 0- oxidation is more important than the (L oxidation for 0, concen-
trations equal to or greater than 0.05 ppm and for a solution pH less than
about 5.5. Since rainwater pH in the eastern United States rarely exceeds
5.5, the uncatalyzed 03 oxidation appears to dominate the 02 oxidation.
Larson and his colleagues concluded tha
amount of liquid water involved, neither the
:, owing to the relatively small
00 nor the 0^ oxidation is fast
enough to produce significant quantities of sulfate in the liquid phase at
humidities less than saturation. These reactions could occur only at a sig-
nificant rate under saturated conditions, i.e., in fogs or clouds, where the
liquid water content may exceed 0.1 g/m3. For cloud conditions of [0^] = 0.05
ppm, [H20] = 0.6 g/m3, [S02] = [NHj] = 0.01 ppm, the rate for S02 oxidation
by 0- is in the range of 1 to 4 percent per hour.
c. Metal-Ion-Catalyzed Liquid-Phase Oxidation of SO,,
The metal-ion-catalyzed liquid-phase oxidation of S02 has received con-
siderable attention as a mechanism for SOp conversion in plumes and contam-
inated droplets. In general, the mechanisms proposed are lengthy, and the
derived rate expressions are largely empirical. Table C-5 summarizes a
variety of studies of this process. Observed rates vary substantially
depending on the particular catalyst, relative humidity, and other conditions.
d. Catalytic Oxidation of S02 on Particle Surfaces
Novakov, Chang, and Marker (1974) have suggested that the surface of a
soot particle serves as a catalyst for the oxidation of SO,,. Such a process
might be of importance in a plume containing significant quantities of car-
bonaceous particles or in an atmosphere where motor vehicle soot aerosol is
present. Very little is now known about the rates or mechanisms of this
process.
-------
TABLE C-4. LIQUID-PHASE OXIDATION OF S02 BY
Author
Type of Mechanism
Rate Coefficient
or Expression
Penkett (1972) HSO; + 0, * HSOl + 0, d[0,]
-7JT-=
Comnents
9.6 C; SOj oxidation rate
extrapolated from data
Penkett and
Garland (1974)
k0 = 3.32 x 1CT mole/l/sec
S02 conversion -v. 0.21 %/m1n
d[SO,]
ks = 4.18 x 10'4 * 1.77[H+]1/2/sec
pH = 4-7; 10°C; 0.1 ppm S02;
0.05 ppm 0, 1n fog
Larson, Horlke,
and Harrison
(1977). .
pH = 4-12; T = 5-25°C;
PQ « 0.2 - 1.0 ppm
k4 = (4.4 ± 2.0) x 104/M°-9/sec (298°K)
tn
en
KHQ « 0.0123 atm
-------
TABLE C-5. METAL-ION-CATALYZED LIQUID-PHASE OXIDATION OF S09
Author
Fuller and
CHst (1941)
Basset and
Parker (1951)
Junge and
Ryan (1958)
Foster (1969)
Matteson,
Stober, and
Luther (1969)
Rate Coefficient
Type of Mechanism or Expression
Cu2+ catalyst; mannltol ks - 0.013 + 2.5[Cu2*]
Inhibitor
Metal salts
Fe2+ catalyst with and without
NH3
i
Metal salts; S02 conversion rate « 0.09 X/m1n
for Mn, 0.15-1.5 %Anin for Fe
2SO, + 2H,0 + 0, •* 2H.SO.
2 2 2 24
S02 oxidation catalyzed by metal dCso2la ?+ ?
salts; 3t~ = k,[Mn ]f
n . .7+ ^
Comments
25°C
Formation of complexes such as
[02 Mn(S03)2]2- and rapid
oxidation
Conversion rate « 1 .8 x 10"*
%/m\n
Theoretical study; rates for Mn
and Fe depend on many factors;
rate for Fe catalyzed oxida-
tion 1s pH dependent
Negligible S0| formation for
RH < 95%; similar mechanism
may be responsible for catalysis
by other metal salts
ro
Ln
en
2+ + S02 i Mn-S0jj
= 2.4 x 10/M/sec
2Mn-So
Mn-SO2,* + H20 .* Mn2* + HS04 + H+
Cheng, Com,
and Froh-
llger (1971)
SO? oxidation catalyzed by metal
salts;
2S02 * 2H20 + 02 cata1ys.t 2H2SO«
S02 conversion rate •v 0.03
with Mn2+ levels typical of
urban Industrial atmosphere;
i 0.33 Vm1n with levels typical
of plume from coal-powered plant
Oxidation rate estimated by
extrapolation to atmospheric
conditions
Chen and Sulflte oxidation catalyzed by
Barren (1972) cobalt Ions; free radical mech-
anism; Co(III) reduced
d[SO-]g
, ,
- k[Co(H20)3Y
Could not determine specific
value for k
-------
TABLE C-5 (Concluded)
Author
Type of Mechanism
Rate Coefficient
or Expression
Comments
Brlmblecomb
and Spedding
(1974)
S02 oxidation by 0? with trace
Fe catalyst
k[Fe(HI)][S(IV)]
k = 100/M/sec; SO? conversion
rate •<• 3.2 %/day in fog assuming
28 ug/m3 S02 and 10'° M Fe(HI)
Possibility of Fe(III) con-
tamination discussed
Freiberg
(1974)
S02 oxidation catalyzed by Fe
[Fe3+]/[H+]2
Ks • 1st dissociation constant
Of HS0
Rate Increases rapidly with RH
and decreases by about one
order of magnitude with 5°C
increase in temperature
Freiberg
(1975)
S02 oxidation catalyzed by Fe
Same
me as above, except Kg Is
complex function of [Fe3 ]
Rate dependence changes from
[S02]J/[H+]3 to [S02]/[H+]
as pH or [S02] increases
no
cn
Barrle and
Georgli
(1976)
Mn and Fe catalysts
k[S02]g
8°C and 25°C; 2.1 mm dlametur
droplets; 10'6 to 10'4 M for
Mn and Fe; S02 concentrations
0.01-1.0 ppm. In pH range
2-4.5 the catalytic effective-
ness was Mn++ > Fe*+ > Fe3*.
Increase In T from 8° to 25°C
caused an Increase In Mn
catalyzed oxidation rate of
5-10 1n pH range 2-4.5
Betz Oxidation In homogeneous
reported In aqueous phase of rainwater;
Belike and metal concentrations between
Bravenhorst 10"7-19'6 M for Mn and 10'6
(1977) -lO-5 M for Fe
1.95 x 1016 exp
/23.000
"\ RT
Rainwater pH = 3.2-5.2
-------
258
3. SULFATE FORMATION IN REMOTE AREAS
Modeling the atmospheric oxidation of sulfur dioxide (S02) into
sulfate (SO^) in remote areas is now a difficult task because of the
following combination of circumstances:
> Detailed data showing S02 removal rates and sulfate formation
rates are lacking, making model verification difficult.
> Theoretical and observational evidence indicates that re-
moval rates are slow, and therefore, the choice of oxidation
mechanisms is large. In polluted urban areas such as Los
Angeles, the sulfate formation rate has been shown to be
rather fast; so the choice of mechanisms is limited to those
capable of fast S0£ oxidation rates.
> The range of uncertainty in most currently considered oxi-
dation mechanisms is large, which further compounds the
difficulty.
The data requirements necessary to elucidate a proper modeling scheme
for the oxidation of S02 go far beyond the normal requirements necessary
to exercise a proven model. The areas where detailed data are now re-
quired begin in the near-stack region of plumes containing high SOX emis-
sions. For the purpose of modeling on a large scale, the emissions mea-
sured at the end of this region would conceivabTy be much more useful than
measurements at the stack itself.
a. The Near-Stack Region of Plumes
From a modeling standpoint, very complex chemistry can conceivably
occur in this near-stack region, which is characterized by the following
qualities:
> Water droplet formation arid evaporation.
> A steep concentration and temperature gradient along the
centerline of the plume.
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259
> The presence of fresh ash and possibly soot participates.
The length of this region can typically be on the order of 1 km or less,
so that in a regional-scale grid model the source could be at the end of
this near-stack region and still be considered a point source within the
same grid square as the stack. However, obtaining total S02 emissions and
the initial sulfate concentration from the end of the near-stack region is
also difficult. The difficulty stems primarily from the nonuniform con-
centrations within the plume itself at this point and the steep gradients
that define the edges of the plume. Sulfate measurements in particular
require large sample volumes averaged over time and space. Hence, the de-
termination of sulfate emissions from the end of the near-stack region re-
quires detailed information on the concentration gradients for the duration
of the sampling period over the entire plume cross section in addition to
the detailed path within that cross section from which the sample was taken.
jJater droplet formation and evaporation are important considera-
tions for two reasons: First, many sulfate formation mechanisms are known
to take place within water droplets, and second, it has recently been de-
monstrated that S02 concentrations far beyond bulk equilibrium levels can
occur in the surface layer of growing water droplets (Matteson, 1978).
The steep concentration and thermal gradient further complicate any model-
ing efforts of this region. However, the most difficult phenomenon to
model may be the deactivation of high!) reactive sites often reported to
exist on certain types of fly ash and soot particles. The overall effect
of the near-stack region appears to be a rapid but limited conversion of
S02- For this reason, trade-offs between the difficulties of obtaining
appropriate data from the end of the near-stack region and the difficulties
associated with properly modeling this complex region need to be carefully
studied. At a minimum, some reliable and detailed data are necessary to
validate any modeling effort or to confirm the necessity of even being
concerned about this region of plumes.
-------
260
b. The Downwind Region of Plumes
The near-stack problems just discussed can occur in a plume affecting
any area. Once the plume has reasonably stabilized in temperature and in
center!ine concentration gradient and the water droplets have either sta-
bilized or evaporated, then the problems of modeling sulfate formation be-
gin on the time and spatial scale appropriate to the model being discussed:
a regional model in a remote area during the several hours that a plume
can contribute to visibility impairment. As outlined above, the basic
problems are limited detailed data and a slow overall oxidation rate that
is the sum of several simultaneous rates, each slow and uncertain. A brief
discussion of some representative mechanisms follows.
1) Photolysis of SO?
This mechanism has recently been reviewed by Calvert et al. (1978).
Their study shows that the mechanism is complicated by electronic excited
states undergoing systems crossing and quenching competition. In their
review, an upper limit of 0.04 percent per hour was estimated for this
mechanism to produce sulfate from SOp in bright sunlight.
2) Photochemical Oxidation
This mechanism was also reviewed by Calvert et al. (1978), who reported
that the most important species involved were the radicals OH-, HOX. and RO^
where R represents a hydrocarbon fragment. These radicals are involved in
photochemical oxidation of methane in the troposphere (Crutzen and Fishman,
1977), and therefore, they would be present in remote atmospheres. The
hydroxyl radical (OH-) has been measured in remote areas (Davis, Heaps, and
McGee, 1976). The concentrations of these radicals were found to be lower in
remote areas than in highly polluted urban areas. In remote areas, OH- can be
generated from short wavelength photolysis of ozone followed by the resulting
excited oxygen atom reaction with water:
-------
261
hv(x < 315 nm) •»• 0 + 0(ID)
+ H20 + OH- + OH-
Hydroxl radicals might also be generated indirectly from other radicals by
means of transfer reactions such as
H0£ + NO -> OH- + N02
Some OH- might also come from olefinic natural hydrocarbons reacting with
ozone. Calvert et al . estimated the upper limit for this photochemical
mechanism to be 4 percent per hour in highly polluted urban areas. Because OH-
radicals are present in remote areas, there appears to be a strong pos-
sibility that this mechanism explains a large part of the remote area rates
in the range of 0.5 percent per hour. In fact, Calvert et al . estimated a
midday rate of 0.4 percent per hour in remote areas due solely to the
reaction with OH- radicals.
3) Water Droplet Mechanisms
Many paths of oxidation have been explored involving SO^ dissolved in
the aqueous phase. In most cases, the ability of SOp to dissolve is ap-
parently a major factor because it is e function of acidity. Some of the
important oxidizing factors that have been studied are the presence of
ozone, hydrogen peroxide, catalytic ions, and soot particles. Two recent
reviews on this subject were made by Levy, Drewes, and Hales (1976), and
Orel and Seinfeld (1977). Virtually all of the above factors might play
important roles in the sulfate formation in remote areas.
4) Particulate Mechanisms
This type of mechanism depends on relative humidity and the presence
of reactive particles. Because the formation of sulfuric acid by one
mechanism would lead to generation of water droplets in even a moderately
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262
humid atmosphere, this mechanism readily transforms into the other
mechanisms. However, many reviews of sulfate formation discuss this type
of mechanism because the growth of small particulates or droplets and SCL
into larger particulates may also affect the rate of sulfate formation.
Because all of the four mechanisms discussed above are complicated to
model quantitatively in remote areas, it appears that the assumption of a
simple first-order decay of SOp to form sulfate is currently justified. A
recent study by SAI has shown, however, that such an assumption is defi-
nitely not justified in the polluted Los Angeles atmosphere. In the study
of Los Angeles, a highly detailed grid-type airshed model was used. Spa-
tial and temporal resolution of the emissions, wind field, and photochemis-
try produced spatial and temporal agreement near 30 percent for nitrogen
oxides and oxidant levels. However, when the photochemical production of
sulfate (at rates up to 2 percent per hour in highly polluted midday grid
cells) was combined with a first-order decay of approximately 3 percent
per hour, very poor spatial agreement was observed (80 percent average dis-
agreement). The observed data consisted of 24-hour-average sulfate mea-
surements at 14 monitoring stations. The poor agreement occurred even
though the overall basin average sulfate level between the model and the
observations was empirically fit at about 19 yg/m . Sulfate predictions
near the western S02 source region were low, and eastern downwind predic-
tions were all too high. A basin-wide spatially consistent 30 percent
agreement (with the oxidant.predictions) with observations was obtained by
combining the photochemical sulfate mechanism with a first-order rate
linearly dependent on fog intensity. The water droplet mechanism that
gave this result used 12 percent per hour in total fog and 0.5 percent in
clear grid cells. If spatially dependent observational data in remote
areas indicate that a uniform first-order conversion of SO^ to sulfate is
inappropriate, perhaps some important clues will be provided to improve the
modeling of sulfate formation in remote areas.
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263
APPENDIX D
DESCRIPTION OF THE PLUME
VISIBILITY MODEL
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264
APPENDIX D
DESCRIPTION OF THE PLlfE
VISIBILITY MODEL
The plume visibility model (PLUVUE) combines a plume dispersion and
chemistry model with atmospheric optics and visual effects formulations.
The relevant equations, assumptions, and limitations are presented in
Chapter III and Appendix B. This appendix outlines the computational
procedure (logic flow), program structure, and data requirements of the
code.
1. COMPUTATIONAL PROCEDURE (LOGIC FLOW)
The data required by the computer code include:
> Wind speed.
> Stability category.
> Specification of'diffusion type (Pasquill-Gifford-Turner,
TVA).
> Atmospheric lapse rate.
> Mixing depth.
> Sun zenith angle.
> Ambient NOX> ML, SC^, 0^, and coarse mode aerosol
concentrations.
> Background visual range.
> Properties of background and emitted aerosol modes:
density, mass mean radius, geometric standard deviation.
> Reaction rates (.ps.eudo-first-order) for sulfate and
nitrate formation.
> Surface deposition velocities for S0?, NO , sulfates, nitrates,
C- A
and coarse particulate.
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265
> Ambient temperature.
> Ambient relative humidity.
> Elevation of terrain.
> Number of stacks.
> Height of stacks.
> Emission rates from all stacks of S02> N0x> and particulates.
> Flue gas flow rate per stack.
> Flue gas temperature.
Figure D-l illustrates the basic calculations and program structure for
the computer code.
The aerosol radiative properties, b and b ., and p(0), are com-
sca*c
uted by integrating over a lognormal size distribution with the specified
mass median radius and geometric standard deviation. The scattering and
absorption efficiency factors and the intensity for the two polarization
components at a prescribed number of scattering angles are evaluated in
the IBM subroutine DAMIE. The properties are evaluated at a selected number
of wavelengths (currently 9), and a spline routine is used to interpolate the
results to the final number of wavelengths (currently 39).
Either the background visual range or the accumuation mode concentration
must be specified. When one is specified, the other can be computed from
the Koschmieder relationship. The background atmospheric radiative properties,
optical depths, mean albedo and mean plvse functions are then computed. The
background sky intensity as a function of angle of observation is predicted
for both a Rayleigh atmosphere (only molecular scattering) and the atmosphere
with the specified ambient aerosol and NOg concentration. The intensity of
a "perfect" diffuse reflector normal to the direct solar beam is calculated
for later use in color quantification. With this information, the chromati-
city and intensity of the background sky are computed for different
scattering and zenith angles. The chromaticity differences and the AE
(L*u*v*), AE (L*a*b*) differences between the background and the Rayleigh
atmosphere are then evaluated.
The spectral intensity of an object of a particular reflectivity and
distance to the observer is computed next, and its chromaticity and light
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266
CALCULATION DESCRIPTION
Input data.
Compute aerosol properties from
Hie equations.
• Integrate over size.
• Interpolate to 39 wavelengths.
Compute background radiative properties.
Compute background visual effects.
• Compute perfect diffuse reflector.
• Compute intensities for Rayleigh.
• Compute background Intensities.
• Compute chromaticitles, contrast,
PROGRAM STRUCTURE
Compute background object visual effects.
• Compute background intensities.
• Compute object Intensity.
• Compute chromatidties, contrast,
etc.
Compute initial dilution and NOj forma-
tion via termolecular reaction.
Calculate HOj, $04, primary particulate
concentration at distance X.
Calculate plume visual effects, plume
only (horizontal/nonhorizontal).
• Compute plume intensities.
• Compute chromatidties, contrast,
etc.
Calculate plume visual effects with
object behind plume (horizontal view).
• Calculate object Intensity.
• Calculate object through the plume
Intensity.
• Compute chromatidties, contrast,
etc.
Calculate plume visual effects
(perspective view).
• Calculate plume Intensity.
• Calculate chromaticitles, contrast,
etc.
0,8
0. |"
Xlumin j
"ft » '
NX
NZ.
6,
o,
V
a.
L_
0, |
Xlumin
BACCLN
BACOBJ
PLMOBJ
CHROMA
FIGURE D-l. FLOWCHART OF THE COMPUTER CODE
CALCULATIONS AND PROGRAM STRUCTURE
FOR THE PLUME VISIBILITY MODEL
-------
267
intensity are predicted for different scattering angles, reflectivities, and
distances from the observer. The object's coloration is then compared with
that of the background sky in terms of chromaticity changes and AE values.
The program then begins the calculation of the concentrations of the
plume by computing the initial dilution near the stack. The calculation of
initial dilution is required to calculate accurately the initial conversion
of NO to NOo via the termolecular reaction because of the rapid decrease in
reaction rate with decreasing NO concentration. In this part of the code,
the properties of the plume at 10-second intervals after emission from the
top of the stack are calculated. These properties include plume rise, plume
velocity, temperature, N02/NO ratio, and concentrations of 02, N0x, N02>
particulates, and sulfur dioxide. The final N02/N0 ratio calculated in this
section of the code is used as a starting point for the calculations in the
o
next part of the code for NOp at 16 downwind distances.
The code calculates the concentrations in the plume at 16 downwind
distances starting at 1.2 km and ending at 350 km. Calculations are made
for six altitudes at a given distance: plume centerline H, H + 2oz,
H + az, H - DZ, H - 2az, and at ground level. Pasquill or TVA diffusion coef-
ficients (a , a ) are computed from subroutines internal to the code or from
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268
sight path. Finally, the chroroatici.ty change and AE values at that
particular downwind distance are computed.
2. PROGRAM STRUCTURE
The program consists of a main program, PLUV'JE, and 19 subroutines.
The main program reads the input cards, computes the plume concentrations,
and prints the output. The various subroutines compute the radiative pro-
perties, spectral intensities and chromaticities, and coloration.
Specifically, the subroutine INRAD computes the aerosol radiative pro-
perties and the atmospheric radiative properties. The integration of the
aerosol properties over the specific size distribution is done by subroutine
BSIZE, which in turn calls the Mie equation subroutine DAMIE. The inter-
polation to the final number of wavelengths is done in a standard cubic
spline package, SPLNA. The reason for the interpolation is that the Mie
equations evaluation can be costly, and the dependence of the radiative
properties for these assumed size distributions and refractive indices is
rather smooth. A provision has been made to read in the radiative property
data if desired, so that the Mie equation evaluation could be bypassed. The
basic equations that INRAD and BSIZE use are described in Appendix B.
The subroutine PERDIF computes the values of spectral intensity of a
perfect diffuse reflector that is normal to the direct solar beam. These
values are used in the evaluation of color.
The subroutines RAYREF, BACCLN, BACOBJ, PLMCLN, and PLMOBJ compute
the spectral intensity seen by a.n observer in differing situations. RAYREF
and BACCLN compute the background atmospheric intensity [Eq. (21) in Section
III.B.2]; RAYREF for an atmosphere with Rayleigh scattering only; and BACCLN
for the background atmosphere. BACOBJ computes the intensity of an object
[Eq. (22) in Section III.B.2] at a given distance and reflectivity. PLMCLN
calculates the intensity that results from a plume at a specific distance from
the observer against the background sky [Eqs. (21) and (25) through (28) in
Section III. B.2]. PLMOBJ computes the effect of the plume in front of an
object at a certain distance and reflectivity [Eqs. (22) and (26) through
(29)].
-------
269
The subroutine CHROMA computes the chromaticities and AE(L*u*v*,
L*a*b*) values for two spectral intensities supplied as input. CHROMA
then computes the chromaticity differences and AE values. It also cal-
culates the contrast and intensity ratios at specific wavelengths.
3. PROGRAM USE
The program requires the input cards listed in Table D-l.
-------
270
TABLE D-l. DATA REQUIREMENTS FOR THE PLUME VISIBILITY
COMPUTER PROGRAM
Card No.
Format
Variables
Description
1 6A4
2 F5.1
15
F5.2
F5.1
3 F10.1
4 F10.3
5 15
PLANT
U
I
ALAPSE
ZENITH
HPBLM
RH
ITVA
Name of source or other label
Wind speed (mph)
Stability under (1, 2, 3, ...,)
Lapse rate (°F/1 000ft)
Solar zenith angle (degrees)
Mixing depth height (m)
Relative humidity (percent)
Index indicating diffusion
15
12
IPERS
12
12
12
12
12
12
IFLG1
IFLG2
IFLG3
NX1|
NX2(
NTl)
NT2J
NZF
parameters to be used for
stability index I ("1" for
TVA, "0" for Pasqui11-Gifford-
Turner values, "9" for user
input values)
Index "I" if perspective view
with user-input rn and
(see Cards 21-35)
Index for output tables
1, 2, 3 at each downwind
distance: "1" means output
desired; "0" means output
table is not desired
Indices (1-16) for downwind
distances desired (it is
preferable to start with NX1=1)
Limits for scattering angles
desired: 6 = 22°, 45°, 90°,
135°, 158° and 180°
Index for the number of
altitudes for visual impact
calculations: "1" for plume
centers only, "2" for ground-
level also
-------
271
TABLE D-l (Continued)
Card No.
Format
Variable
Description
8 F10.2
F10.2
F10.2
9 F10.1
F10.1
F10.1
10 F5.1
F5.1
11 F10.0
12 F10.1
13 F10.3
F10.3
F10.3
F10.3
14 F10.3
F10.3
15 F10.3
F10.3
F10.3
F10.3
16 F10.3
F10.3
F10.3
F10.3
QS02 j
QNOX \
QPART I
FLOW
FGTEMP
FG02
UNITS
HSTACK
ELEV
TAMB
AMBNOX
AMBN02
03AMB
AMBS02
RS02C
RNOYC
XV
RQVA
ROVC
ROVS
ROVP
SIGA
SIGC
SIGS
SIGP
Total S02, NOX, and primary particle
emissions rates (from all stacks),
in tons/day
Flue gas flow rate (acfm) per stack
Flue gas temperature (°F)
Flue gas oxygen concentration mole
percent
Number of stacks
Stack height (ft)
Elevation of plant site (ft MSL)
Ambient temperature (°F)
Ambient [NOX] in ppm
Ambient [NO^] in ppm
Ambient [0^] in ppm
Ambient [S02] in ppm
S02 •> SO^" conversion rate (%/hr)
NO -> N0.7 conversion rate (%/hr)
A O
Mass median radius (ym) background
accumulation mode
Mass median radius (ym) background
coarse mode
Mass median radius (ym) plume
secondary parti cul ate
Mass median radius (ym) emitted
emitted primary parti cul ate
Geometric standard deviation,
accumulation mode
Geometric standard deviation,
coarse mode
Geometric standard deviation,
secondary parti cul ate
Geometric standard deviation,
emitted primary particulate
-------
272
TABLE D-l (Concluded)
Card No.
Format
Variable
Description
17
18
19
20(INTYP*n )
20(INTYP=ir
21
22
F10.3
F10.3
F10.3
F10.3
F10.3
15
F10.3
(F10.3
-------
273
APPENDIX E
PLUME MODEL SAMPLE OUTPUT
-------
274
APPENDIX E
PLUME MODEL SAMPLE OUTPUT
This appendix displays two examples of the plume visibility output.
The first shows output for a plume from a hypothetical 2250 Mwe coal-fired
power plant during stable (Pasquill E) conditions. This sample output
shows the near-source plume impact from 1.2 to 10 km downwind. At each
downwind distance, the following tables are displayed:
9
> Pollutant concentrations.
> Visual effects for horizontal sight paths.
> Visual effects for nonhorizontal sight paths.
> Visual effects for horizontal views of various colored objects.
The second illustration is for the plume from a copper smelter during
neutral conditions (TVA Category 1) with a capping layer at 2000 m.
For this example, we show the output of pollutant concentrations and
horizontal visual effects at large downwind distances (15, 100, 200, and
300 km.)
-------
275
EXAMPLE 1: OUTPUT FOR
A PLUME FROM A
HYPOTHETICAL 2250 MWE
COAL-FIRED POWER PLANT
-------
VISUAL IMPACT ASSESSMENT FOR 2230 MV COAL POWER PLANT
POWER PLANT DATA
ELEVATION OF SITE = 0. FEET MSL
0. METERS MSL
NO. OF UNITS =3.
STACK HEIGHT = 700. FEET
213. METERS
FLUE CAS FLOW RATE = 1724000. CU FT/MIN
813.52 CU M/SEC
FLUE CAS TEMPERATURE = 250. F
394. K
FLUE GAS OXYGEN CONTENT = 1.7 MOL PERCENT
SO2 EMISSION RATE (TOTAL) = 276.43 TONSXDAY
2.903E+03 C/SEC
NOX EMISSION RATE (TOTAL,AS N02) = 161.25 TONS/DAY
1.693E+03 G/SEC
PARTICULATE EMISSION RATE (TOTAL) = 3.45 TONS/DAY
3.623E+01 G/SEC
-------
METEOROLOGICAL AND AMBIENT AIR QUALITY DATA
VINDSPEED = 11.2 MILES/HR
3.0 M/SEC
PASOUILL-CIFFORD-TURNER STABILITY CATEGORY E
LAPSE RATE * 0.00 F/1000 FT
0. K/M
POTENTIAL TEMPERATURE LAPSE RATE - 9.800E-03 K/M
SOLAR ZENITH ANGLE = 43.0 DECREES
AMBIENT TEMPERATURE = 77.0 F
298.2 K
RELATIVE HUMIDITY = 40.0 %
MIXING DEPTH = 2000. M
AMBIENT PRESSURE = 1.00 ATM
SO2 TO SO4 CONVERSION RATE = .300 PERCENT/HR
ro
NOX TO NOP '10N\TRSIOrr RATE = 0.000 PERCENT/HR ^j
BACKGROUND NOX CONCENTRATION = 0.000 PPM
BACKGROUND NO2 CONCENTRATION = 0.000 PPM
BACKGROUND OZONE CONCENTRATION = .040 PPM
BACKGROUND SO2 CONCENTRATION = 0.000 PPM
BACKGROUND COARSE MODE CONCENTRATION = 30.0 UG/M3
BACKGROUND SULFATE CONCENTRATION = 1.7 UG/M3
BACKGROUND NITRATE CONCENTRATION - 0.0 UG/N3
BACKGROUND VISUAL RANGE = 130.0 KILOMETERS
SO2 DEPOSITION VELOCITY = 1.00 CM/SEC
NOX DEPOSITION VELOCITY = 1.00 CM/SEC
COARSE PARTICULATE DEPOSITION VELOCITY = .10 CM/SEC
SUBM1CRON PARTICULATE DEPOSITION VELOCITY = .10 CM/SEC
-------
BACKGROUND CONDITIONS
ACCUMULATION
MASS RADIUS
. 1700E+00
BETARAY = .
NO
1
2
3
4
3
6
7
8
9
10
11
12
13
14
13
16
17
18
19
20
21
22
23
24
23
26
27
28
29
30
31
32
33
34
33
36
37
38
39
. VAVELN
.3700E+00
.3300E+00
.3900E+00
.4000E+00
.4100E+00
.4200E+00
.4300E+00
.4400E+00
.4~0-«*E+00
,46<*(*F,+ 00
.4700E+00
. 4800E+00
.4900E+00
.3000E+00
.3100E+00
.3200E+00
.5:?00E+00
.3 400 £+00
.3300E+00
. 3600E+00
. 5700E+00
. 3800E+00
.3900E+00
.6000E+00
.6100E+00
.6200E+00
.6 300 £+00
.6400E+00
.6300E+00
.6600E+00
.6700E+00
.6 3061:',+ 00
.6900E+00
. 70<~H}E+00
.7100E+00
.7200E+00
.7300E+00
.7400E+00
.7300E+00
MODE COARSE PARTICLE MODE PRIMARY PARTICLE MODE
SIGMA BETA.35/MASS MASS RADIUS SIGMA BETA.55/MASS MASS RADIUS SIGMA BE1
.2100E+01 .5811E-02 .3000E+01 .2200E+01 .3343E-03 .5000E+00 .2000E+01
COEFFICIENTS AT 0.33 MICROMETERS . l./KM
1000E-01 BETAAER = .2017E-01 ABSN02 =0. BETABAC = .3009E-01
TAUT02Z
. 5832E+00
. 5334E+00
.4837E+00
.4443E+00
. 4082E+00
.3767E+00
.3490E+00
. 3242E+00
.30I7E+00
.2810E+00
.2620E+00
.2447E+00
.2292E+00
.2134E+00
.2035E+00
. 1932E+00
. 1840E+00
. 1737E+00
. 1679E+00
. 1603E+00
. 1330E+00
. 1460E+00
. 1394E+00
. 133315+00
. 1276E+00
. 1223E+00
. 1 178E+00
. 1 137E+00
. 1 100E+00
. 1068E+00
. 1040E+00
. 1014B'.+00
.9893E-01
.9633E-01
. 9 409 E- 01
.9160E-01
.8909E-01
.8661E-01
.8420E-01
TAUT0DI
.2071E+02
. 1891E+02
. 1733E+02
. 1399E+02
. 1482E+02
. 1380E+02
. 1290E+02
. 1210E+02
. 1 136E+02
. 1066E+02
. 1002E+02
.9423E+01
.8887E+01
.8420E+01
.8024E+01
.7688E+01
.739 5 E+01
.7 129 E+01
.6873E+01
.6620E+01
.6365E+01
.6116E+01
.5876E+01
.3651 E+01
.3444E+01
.3237E+01
.3090E+01
.4942E+01
.4815E+01
.4708E+01
.4(5 I5E+01
.4532E+01
.4453E+01
.4372E+01
.4284E+01
.4192E+01
.4096E+01
.3999E+01
.3903E+01
PAER
. 4672E+03
. 4478E+03
.4301E+03
.4147E+03
. 4020E+03
. 39 1 1E+03
.3814E+03
.3719E+03
.3623E+03
.3321E+03
. 3420E+03
. 3323E+03
. 3237E+03
.3164E+03
.3106E+03
.3056E+03
.30I0E+03
.2964E+03
.2913E+03
.2861E+03
.2803E+03
. 2747E+03
.2687E+03
.2626E+03
.2564E+03
.2304E+03
. 2447E+03
.2396E+03
.2353E+03
.2319E+03
.2290E+03
. 2264F.+03
.2237E+03
.2206E+03
.2168E+03
.2123E+03
.2078E+03
.2027E+03
. 1976E+03
.4934E+01
.4890E+01
.4841 E+01
.4786 E+01
.4723E+01
.4635E+01
.4390E+01
.4336 E+01
.43 01 E+01
.4491 E+01
.4301E+01
.4318E+01
.4331 E+01
.4528E+01
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.4453E+01
.4406 E+01
.4373 E+01
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.4422E+01
.4303E+01
.4593E+01
.4675E+01
.4717E+01
.4704E+01
.4643E+01
.4351 E+01
.4442E+01
.4335 E+01
.4243E+01
.4172E+01
.4124E+01
..4 103 E+01
.41 10F.+ 01
.4148F.+01
.4213E+01
.4299E+01
.4399E+01
.4308E+01
. 1310E+01
. 1515E+01
. 1317E+01
. 1313E+01
. 1509 E+01
. 1502E+01
.1497E+01
.1493E+01
. 13 00 E+01
. 1512E+01
. 1527E+01
. 1544E+01
. 1359E+01
. 1568E+01
.1571E+01
. 1568E+01
. 1563E+01
. 1333E+01
. 1343E+01
. 13 35 E+01
. 1322E+01
. 1307E+01
. 1490E+01
. 1471 E+01
. 1451E+01
. 1431E+01
. 1415E+01
. 1404E+01
. 1401E+01
. 1407E+01
. 142 1 E+01
. 1439 E+01
. 1458F.+'01
. 1473E+01
. 1481E+01
. 1481 E+01
. 1476 E+01
. 1467E+01
. 1433E+01
.2216E+00
.2189E+00
.2175E+00
.2177E+00
.2200E+00
.2236E+00
.2278E+00
.2313E+00
. 2337F.+00
.2340E+00
.2327E+00
.2308E+00
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.2311E+00
.2345E+00
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.2311E+00
.2347E+00
.2393E+00
.2441E+00
72483 E+ <30
. 2508E+00
.251 1F.+ 00
.2492E+00
. 2457F.+00
.2410E+00
.2336E+00
. 1300E+00
. 1328E+00
. 1343E+00
. 1346E+00
. 1329E+00
. 1300E+00
. 1266E+00
. 1235E+00
. 12I5E+00
. 1214E+00
. 1226E+00
. 1246E+00
. 1267E+00
. 1282E+00
. 1286E+00
. 1283E+00
. 123JE+00
. 1280E+00
. 1287E+00
. 1305E+00
. 1328E+00
. 1352E+00
. 1370E+00
. 1377E+00
. 1370E+00
. 1332E+00
. 1330E+00
. 1310E+00
. 1299E+00
. 1304E+00
. 1322E+00
. 1349E+00
. 1382E+00
. 1413E+00
. 1444E+00
. 1469E+00
. 1490E+00
. 1509E+00
. 1326E+00
.3067E+00
.3001E+00
.2966E+00
. 2972E+00
.3029E+00
.3125E+00
. 3244E+00
.3371E+00
.3439E+00
,358tF.+ 00
.3643E+00
.3673E+00
.3669E+00
.3627E+00
.3348E+00
.3449E+00
.3333E+00
.3288E+00
.3283F.+ 00
.3362E+00
.3502E+00
.3670E+00
.3832E+00
.3952E+00
. 4003 E+ 00
.3997E+00
.3957E+00
. 3904E+00
.3863E+00
. 3850F.+00
.386 3 £+00
. 3902F.+00
.3954E+00
.4019E+00
.4090E+00
.4166E+00
.4248E+00
. 4333E+00
.4420E+00
.5956E+00
.3721E+00
.3579E+00
.3363E+00
.5698E+00
.5919E+00
.6142E+00
.6273E+00
.6214E+0O
.3900E+00
.3415E+00
.4887E+00
.4445E+00
.4222E+00
.4326E+00
.4730E+00
.3363F.+ 00
.6134E+00
.7009E+00
.7830E+00
.8513E+00
.8939E+00
.9055E+00
.8696E+00
.7834E+00
.6671E+00
.3473E+00
.4319E+00
.4089E+00
. 4389F.+00
. 32-i*'Fi+t?0
.642CE+00
.7592F.+ 00
.8463E+00
.8782E+00
.8386E+00
.7991E+00
.7121F.+00
.6101E+00
BETA.53/MASS
.2003E-02
ro
^j
CX3
-------
VISUAL EFFECTS CAUSED BY BACKGROUND ATMOSPHERE (WITHOUT PLUME)
*** CLEAR SKY VIEWS ***
THETA BETA
22.
43.
90.
133.
138.
180.
0.
13.
30.
43.
60.
73.
90.
0.
13.
30.
43.
60.
75.
90.
0.
13.
30.
43.
60.
75.
90.
0.
13.
30.
43.
60.
73.
90.
0.
13.
30.
43.
60.
73.
90.
0.
15.
30.
45.
60.
73.
90.
TAU
6.87
.63
.34
.24
. 19
. 17
. 17
6.87
.65
.34
.24
. 19
. 17
. 17
6.87
.65
.34
.24
. 19
. 17
. 17
6.87
.65
.34
.24
. 19
. 17
. 17
6.87
.65
.34
.24
. 19
. 17
. 17
6.87
.65
.34
.24
. 19
. 17
. 17
YCAP
208. 6 1
86.43
51.34
38. 17
31.83
28.81
27.91
110.53
49.55
29.77
22. 10
18.43
16.71
16.19
64. 12
29.82
18.02
13.40
11.20
10. 14
9.83
67.23
34.22
20.76
15.46
12.92
11.71
11.35
78.98
40.73
24.69
18.38
15.36
13.92
13.49
91.22
45 . 89
27.75
20.63
17.23
15.63
15. 13
L
132.18
94.50
77.02
68. 18
63.23
60.63
39.84
103.93
73.81
61.49
54. 17
50.07
47.93
47.26
84.04
61.53
49 . 56
43.40
39.95
33. 14
37.58
85.64
63. 17
32.72
46.30
42.69
40.79
40.20
91.23
70.01
56.81
50.00
46. 17
44. 16
43.33
96.50
73.50
59 . 70
52.60
43.61
46.53
45.87
X
.3409
.2930
.2830
. 2796
.2781
.2774
.2771
.3184
. 273 1
.2655
. 2633
.2608
.2601
.2399
.3000
.2633
.2341
.251 1
.2497
.2490
.2488
.2962
.2594
.2303
.2472
. 2459
. 2452
.2451
.3021
.2623
.2529
.2493
.2484
.2477
.2476
.3122
.2688
.2590
.2553
.2344
.2537
.2335
Y
.3462
.3041
.2914
.2868
.2847
.2837
.2834
.3313
.2893
.2760
.2712
.2690
.2680
.2677
.3111
.2744
.2608
.2360
.2338
.2328
.2.' 23
.3078
.2704
.2366
.2317
.2493
• . 2484
.2431
.3120
.2728
.2589
.2340
.2317
. 2307
.2304
.3200
.2781
.2640
.2591
.2369
.2338
.2355
DELYCAP
103.06
52.59
31.29
22.87
18.83
16.90
16.32
13.44
19.92
12. 1 1
8.79
7. 16
6.38
6.14
-9.26
6.04
3.93
2.86
2.29
2.01
1.92
-24.84
4.60
3. 10
2. 13
1.63
1.38
1.30
-26.37
6.39
4.44
3.08
2.36
2.01
1.90
-19.58
10.41
6.49
4.37
3.53
3. 10
2.96
DELL
30.08
29.64
24.87
22.09
20.43
19.53
19.24
7.07
14.45
12.36
10.90
9.97
9.46
9.29
-4.60
3.63
5. 19
4.56
4. 10
3.83
3.73
- 1 1 . 22
3.81
3.60
3.03
2.38
2.32
2.23
-10.87
5. 15
4.65
3.91
3.36
3.04
2.94
-7.53
7.35
6.43
5.48
4.82
4.44
4.32
C(400)
.3906
.2697
.2698
.2396
.2483
.2403
.2374
.0584
-.0146
. 00 1 1
- . 00 11
-.0071
-.0118
-.0136
-.0336
-. 1374
-. 1325
-. 1292
-.1311
-. 1335
-. 1344
-.1169
- . 1306
- . 1293
- . 129 1
-.1334
-. 1371
- . 1383
- . 1267
- . 1272
-. 1090
- . 1 108
-. 1163
-.1211
- . 1228
- . 10O3
-.1027
-.0864
-.0392
-.0956
- . 1007
- . 1026
C(350)
.8897
.3363
.3446
.4938
.4546
.4253
.4132
. 1844
.6939
.7177
.6942
.6686
.6510
.6449
-. 1380
.2684
. 300S
.2917
. 2778
.2676
.2639
-.2824
. 16 14
. 1860
.1726
.1362
. 1446
. 1405
- . 2733
.2003
.2213
.2043
. 1852
. 1720
. 1674
- . 1897
.3064
. 3245
.3042
.2824
.2676
.2624
C<700)
1.8769
3.6875
3.6901
3.5857
3.4893
3.4274
3.4059
.6563
. 8252
. 8439
.7900
.7376
.7029
.6909
.0762
.8950
.9263
.9017
. 8737
.8543
.8478
- . 1689
.3979
.6168
.3887
.5600
.5407
.5340
-.1061
.7229
.7363
.7014
.6675
. 6430
.6373
.0879
1 . 0237
1 . 0339
.9904
.9492
.9221
.9127
BRATIO
.4834
.2709
.2707
.2747
.2780
.2801
.2809
.6390
.3488
.3320
.3380
.3627
. 3656
.3666
.8794
.4446
.4303
.4379
. 4637
.4673
.4684
1 . 0626
.3316
.5384
.3482
.3553
.5601
.5616
.9770
.5066
.5131
.5226
.5299
. 5343
.5338
.8196
.4434
.4492
.4576
.4640
.4679
.4692
DELX
.0357
.0537
.0513
.0500
.0492
.0488
.0487
.0152
.0369
.0347
. 0336
.0329
.0325
.0324
.0008
. 0272
.0232
.0242
.O236
.0232
.0231
- . 0070
.0212
- .0195
.0185
.0179
.0176
.0173
- . 003 1
.0230
.0212
.0202
.0195
.0192
.0191
.0063
.0291
.0270
.0259
.0252
.0248
.0247
DELY E< LUV) E( LAB)
.0221 44.6680 35.3720
.0377 42.7131 33.4569
.0584 33.4713 29.3383
.0577 28.9426 26.0430
.0371 26.4661 24. 1320
.0367 25.1872 23.1479
.0566 24.7891 22.8313
.0097 13.9237 9.9126
.0430 26.7599 20.7632
.0447 20.6836 17.3462
.0437 17.6649 15.3729
.0430 16.0248 14.2198
.0426 15. 1837 13.6050
.0425 14.9229 13.4110
-.0059 6.4645 3.7798
.0334 18.1834 12.6828
.0327 13.71*9 10.6172
.0318 Il.o732 9.4079
.0311 10.4403 8.7073
.0307 9.8713 8.3374 £3
.0305 9.6968 8.2212 vo
-.0139 13.7082 12.6947
.0259 15.7605 10.4331
.0252 11.9561 8.7032
.0242 10. 1441 7.6643
.0235 9.2144 7.0697
.0231 0.7o'>9 6.7606
.0229 8.6228 6.6647
-.0121 13.4426 12.4763
.0264 16.9212 11.2614
.0239 12.89OO 9.3774
.0249 10.9650 8.2293
.0241 9.9673 7.3663
. O237 9 . 4779 7 . 2204
.0246 9.C301 7.1127
-.0049 11.7559 9.6383
.0312 20.7951 13.9390
.0305 15.8733 11.5107
.0295 13.5176 10.0993
.0287 12.2872 9.2880
.0283 1K6758 8.«623
.0281 11.4896 8.7294
-------
VISUAL EFFECTS CAUSED BY BACKGROUITD ATMOSPHERE (WITHOUT PLUME)
*** WHITE, GRAY. AND BLACK OBJECTS AT INDICATED DISTANCES ***
THETA RO/RV REFLECT
22.
YCAP
X
Y DELYCAP
DELL CC400) C(530) C<700> BRATIO
DELX
DELY E(LUV) E(LAB)
43.
.02
.03
. 10
.20
.30
.80
1.00
.02
.03
.10
.20
.30
.80
1.00
.02
.03
.10
.20
.30
.30
1.00
.02
.03
. 10
.20
.30
.80
1.00
.02
.0.}
.10
.20
.30
.80
1.00
.02
.03
. 10
.20
.30
.80
1.00
.00
.00
.00
.00
.00
.00
.00
.30
.30
.30
.30
.50
.30
.30
0.00
0.00
0.00
0.00
0.00
0.00
0.00
.00
.00
.00
.00
.00
.00
.00
.30
.30
.30
.30
.30
.30
.30
0.00
0.00
O . 00
0.00
0.00
0.00
0.00
107.99
118.88
134.43
157.89
192.37
203.37
206 . 46
61.68
77.59
100.33
134.53
184.77
201.04
205 . 24
13.37
36.30
66.21
1 1 1 . 20
177. 18
198.52
204.01
100.82
101.94
103.52
103.83
109. 13
110. 15
110.39
34.31
60.65
69.39
82.50
101.53
107.62
109.17
8.20
1 9 . 36
35.27
39. 13
93.96
105. 10
107.94
103.01
106.88
112.02
119.06
128.24
130.98
131.67
82.76
90.60
100. 13
112.03
126.31
130.37
131.38
46. 18
66.78
83. 12
104. 17
124.34
129.76
131.09
100.32
100.74
101.34
102.22
103.43
103.79
103.88
78.78
32.20
86.71
92.80
100.60
102.87
103.44
34.44
31. 14
65 . 99
31.39
97.62
101.94
102.99
.3300
.3277
.3262
.3270
.3337
.3381
. 3396
. 3230
.3200
.3178
.3198
.-3304
.3366
. 3388
.2944
.2973
.3019
.3100
.3268
. 333 1
.3380
.3306
.3283
.3234
.3219
.3189
.3136
.3186
. 3236
.3189
.3129
.3093
.3122
.3137
.3170
.2740
.2767
.2310
.2337
. 3046
.3126
.3153
.3402
.3374
. 3334
.3357
.3415
.3446
.3433
.3349
.3293
.3269
.3291
.3390
.3437
. 345 1
.3020
.3056
.3110
. 3200
.3364
. 3-1.29
. 3447
.3412
.3388
. 3358
.3327
.3308
.3310
.3312
.3361
.3294
. 3238
.3213
.3259
.3293
.3303
.2838
.2373
. 2'? 32
'. 3023
. 3204
. 3273
.3293
-100.61
-89.72
-74.16
-50.71
-16.24
-3.04
-2. 13
-146.92
-131.01
-108.28
-74.06
-23.84
-7.56
-3.37
-193.24
-172.31
-142.40
-97.41
-31.43
-10.09
-4.39
-9.71
-8.60
-7.02
-4.68
-1.39
-.39
-. 14
-56.02
-49 . 39
-41. 14
-28.03
-8.98
-2.91
-1.37
-102.33
-9 1 . 1.8
-75.26
-31.38
-16.53
-5.43
-2.59
-29. 17
-23.30
-20. 16
-13. 13
-3.95
-1.20
-.51
-49.42
-41.58
-32.06
-20. 13
-5.87
-1.81
-.80
-86 . 00
-65.40
-47.07
-28.01
-7.84
-2.43
- 1 . 09
-3.62
-3. 19
-2.59
-1.72
-.50
-. 14
-.05
-23. 16
-21.73
-17.22
-11. 13
-3.34
-1.06
-.30
-69.49
-52.79
-37.95
-22.54
-6.32
-2.00
-.94
-.4431
- . 3495
-.2353
- . 1068
-.0100
-.0010
- . 0002
- . 6484
-.3116
- . 3446
-. 1564
-.0146
-.0014
- . 0003
-.8538
- . 6736
-.4537
- . 2039
-.0193
-.0018
- . 0004
-.2592
- . 2045
- . 1378
-.0625
-.0039
- . 0006
- . 0002
-.3565
- . 439 1
-.2957
-.1342
-.0126
-.0012
- . 0003
-.8538
-.6736
-.4337
- . 2039
-.0193
-.0018
- . 0004
-.4716
-.4192
- . 3443
- . 2324
- . 0708
- . 0208
- . 0087
-.6981
-.6206
-.5101
- . 3444
-. 1054
-.0313
T-.0136
-.9246
-.8221
-.6737
-.4363
-. 1401
- . 0422
-.0183
-.0962
-.0053
- . 0704
- . 0476
-.0148
- . 0047
- . 0022
-.3105
-.4539
- . 3733
-.2523
-.0782
- . 0243
-.0112
- . 9248
- . 8224
-.6763
-.4374
-. 1415
- . 0438
- . 020 1
- . 4894
-.4300
-.3910
- . 2943
- . 1222
-.0458
- . 0284
-.7179
-.6606
- . 5749
- .4347
-. 1843
- . 0733
-.0364
-.9464 J
-.8712 <
- . 7588 '<
- . 3749
-.2464
-. 1009
- . 0324
-.0268
- . 0239
-.0195
-.0123
.0006
.0063
. 0082
- . 4867
- . 4478
- . 3896
- . 2944
.-. 1244
-.0490
- . 0240
-.9466 '.
-.8717 '.
-.7397 I
-.5766
-.2494
-. KZ»44
-.0361
.0908
. 1826
.2554
.2660
. 1278
.0470
.0206
. 2463
.4391
.5418
.4924
.2080
.0776
.0374
2.7268
2.5348
2.2647
1.8681
1.3014
1. 1101
1.054S
.7612
.8130
.8794
.9491
.9935
.9931
.9917
.8640
1.0159
1 . 1538
1 . 227 1
i . 1277
1.0503
1 . 0242
2.7376
2.3443
2 . 2737
1.8733
1 . 3066
1. 1 146
1.0390
-.0109
-.0132
-.0147
-.0139
- . 0072
- . 0028
-.0013
-.0159
- . 0209
- . 023 1
-.0211
-.0103
- . 0043
- . 002 1
- . 0465
- . 0436
- ..0390
- . 0309
-.0141
-.003 a
-.0029
.0122
.0099
.0070
.0035
.0005
.0002
.0002
.0072
.0005
-.0055
- . 009 1
- . 0062
- . 0027
-.0014
- . 0444
-.0417
- . 0374
-.0298
-.0138
-.0058
- . 003 1
-.0060 31.2890
-.0088 28.7123
-.0107 23.3648
-.0104 20.0222
-.0047 8.8827
-.0016 3.3506
- . 0007 1 . 3240
-.0113 51.4969
-.0168 45.8349
-.0192 39.2661
-.0171 29.9706
-.0072 12.9889
-.0024 5.0500
-.0011 2.4597
-.0441 89.8687
-.0406 72.7406
-.0352 58.0833
-.0261 41.7144
-.0098 17.2681
- . 0033 6 . 7707
-.0013 3.4015
.0099 11.9128
.0074 9.6825
.0045 6.9130
.0013 3.6805
-.0003 .9513
-.0003 .4156
- . 0002 . 3046
.0048 26.4006
-.0020 21.9210
-.0073 17.5968
-.0100 13.3500
-.0054 6.3540
-.0020 2.5962
-.0010 1.3215
-.0476 69.9634
-.0439 .-53.2341
-.0332 43.3731
-.0286 31.&389
-.0110 13.1136
-.0038 3.2903
-.0018 2.7806
29 . 8706
26.4961
22.0917
13.8333
6.0664
2. 1302
.9611
50. 1478
43. 1629
34.8201
24.0728
8.9293
3.2405
1 . 3399
87.6880
68.3776
51.4397
33.3441
11.8941
4.3427 £
2. 1222 c
7.7332
6 . 2O56
4.3202
2.5129
.7312
.3130
.2104
25 . 5727
2 1 . 7823
17.4367
12.1276
4.6746
1.7316
.8699
69.9490
54. 1162
40.4082
26. 1765
9.2865
3.4691
1 . 77b8
-------
VISUAL EFFECTS CAUSED DY BACKGROUND ATMOSPHERE (WITHOUT PLUME)
*** VHJTE, GRAY, AWD BLACK OBJECTS AT INDICATED DISTANCES ***
TA RO/RV REFLECT
YCAP
X
Y DELYCAP
DELL C<400> C<550) C<700) BRATIO
DF.LX
DELY E< LUV) E(LAB)
.02
.03
. 10
.20
.30
.80
1.00
,02
.03
.10
.20
.30
.G0
1.00
.02
.03
.10
.20
.50
.30
1.00
.02
.03
.10
.20
.30
.80
1.00
.02
.03
.10
.20
.50
.80
1.00
.02
.03
.10
.20
.50
.80
1.00
.00
.00
.00
.00
.00
.00
.00
.50
.50
.50
.30
.50
.30
.30
0.00
0.00
0.00
0.00
0.00
0.00
0.00
.00
.00
.00
.00
.00
.00
.00
.30
.30
.30
.50
.50
.50
.30
0.00
0.00
0.00
0.00
0.00
0.00
0.00
97.40
93.86
88.78
81. 10
69.71
63.96
64.98
51.09
32.37
34.66
37.76
62. 11
63.44
63.76
4.78
11.23
20.54
34.41
54.52
60.91
62.53
97.64
94.41
89.78
82.77
72.31
68.84
67.93
3 1 . 33
53. 12
55.66
59.42
64.71
66.32
66.71
5.02
11.83
21.54
36.07
57. 12
63.79
65.48
98.99
97.58
95.49
92. 19
86.87
84.99
84.49
76.76
77.64
78.87
30.62
82.99
S3. 69
83. a?
26. 14
40.09
52.43
65.31
78.78
82.35
83.21
99.08
97.80
93.91
92.92
88. 13
86.44
85.98
76.90
77.97
79.44
81.54
84.35
83. 17
83.37
26.82
40.99
53.57
66.60
80.26
83.87
84.75
.3317
.3304
.3280
. 3232
.311 1
.3048
.3026
.3272
.3210
.3138
. 3039
' .3000
.2997
.2998
.2376
.2601
.2641
.2714
.2866
.2942
. 2968
.3311
.3291
. 3258
.3197
.3067
.3004
.2984
.3262
. 3 190
.3108
.3021
.2937
.2953
.2956
.2342
. 2367
.2606
.2677
.2327
.2903
.2928
.3419
.3399
.3363
. 3303
.3184
.3135
.3121
.3370
.3298
.3218
. 3 1 39
.3096
.3102
. 3 1 03
.2611
.2649
.2707
.2806
.2991
.30t.~
.3039
.3413
.3383
.3343
.3271
.3143
.3098
.3086
. 3360
.3277
.3188
.3101
. 3059
.3066
.3071
. 2374
.2612
.2670
.2770
.2956
. 3033
.3035
33.29
29.74
24.67
16.99
5.39
1.84
.86
-13.03
-11.33
-9.46
-6.36
-2.00
-.68
-.36
-59.34
-52.84
-43.58
-29 . 7 1
-9.60
-3.21
- 1 . 58
30.39
27. 16
22.33
13.32
3.06
1.39
.63
-15.92
-14. 13
-11.59
-7.83
-2.54
- .93
-.34
-62.23
-35.42
-45.71
-31. 18
-10. 13
-3.46
-1.77
14.95
13.54
1 1.45
3. 14
2.83
.95
.45
-7.29
-6.40
-5. 18
-3.42
-1.03
-.36
-. 19
-37.90
-43.95
-31.56
-18.73
-3.26
-1.69
-.33
13.44
12. 16
10.27
7.28
2.48
.79
.34
-8.75
-7.68
-6.20
-4. 11
-1.29
-.47
-.27
-58.82
-44.66
-32.07
-19.04
-5.38
-1.77
-.90
- . 0792
- . 0625
-.0421
-.0191
-.0018
- . 0002
- . 000 1
- . 4665
-.3681
- . 2479
-.1125
- . 0 1 03
-.0010
- . 0002
- . 8333
- . 6736
-.4537
- . 2059
-.0193
-.0018
- . 0004
-. 1412
-. 1114
- . 075 1
-.0341
- . 0032
- . 0004
-.0001
-.4975
- . 3923
- . 2644
-. 1200
-.0113
- . 00 1 1
- . 0003
-.8538
-.6736
- . 4537
- . 2059
-.0193
-.0019
- . 0004
.5046
.4435
. 3686
.2487
.0738
.0223
.0093
-.2101
-. 1871
-. 1541
-. 1047
- . 0335
-.0113
- . 006 1
-.9249
- . 8226
-.6768
-.4582
-. 1428
-.0453
-.0216
.4426
.3932
.3228
.2173
.0630
.0179
.0065
-.2412
-.2148
- . 1772
-. 1209
- . 0396
-.0144
-.0083
-.9250
- . 8229
-.6773
-.4390
-. 1441
-.0468
- . 023 1
.8695
. 8020
.7010
.5:359
.2408
. 1101
.0665
- . 0387
- . 0332
- . 0299
- . 02 1 4
- . 006 1
. 0^07
.0029
-.9468
- . 8723
-.7609
-.5786
- . 2529
- . 1 *»O7
-.0606
. 8853
.8166
.7131
.5440
.2417
. 1078
.0632
- . 0307
- . 0282
- . 0244
-.0183
- . 0074
- . 0026
-.0010
-.9471
- . 8730
- . 7620
-.5806
-.2365
-.1129
-.0651
.4925
.5202
.5631
.6386
. 8045
.9007
.9376
.5549
.6330
.7753
.9069
.9935
.9983
.9968
2.7507
2.5570
2.2846
1.8845
1 . 3 1 28
1. 11 99
1.0641
.4554
.4891
.5399
.6256
.8027
.9024
.9405
.5184
.6231
.7540
.8964
.9961
1.0015
1 . 0007
2.7638
2.5692
2.2955
1.8935
1.3191
1. 1252
1.0692
.0316
.0303
.0280
.0231
.0111
.0047
.0026
.0271
.0209
.0137
.0039
- . 000 1
- . 0004
- . 0003
- . 0423
-.0399
-.0359
- . 0287
-.0135
-.0050
- . 0032
.0349
.0329
.0296
.0233
.0105
.0042
.0022
.0300
.0228
.0146
.0038
- . 0005
- . 0007
- . 0006
- . 042 1
-.0396
-.0356
-.0285
-.0135
-.0060
- . 0034
.0308 29.7804 22.0316
.0288 27.8320 20.3235
.0253 24.7446 17.7090
.0194 19.2330 13.2961
.0073 8.3341 3.3464
.0024 3.4041 2.1047
.0011 1.8614 1.1387
.0259 23.7540 15.8128
.0188 18.7747 12.4677
.0108 12.8125 8.3961
.0023 6.2007 4.47f.7
-.0014 1.3921 1.2773
- . 0009 . 6273 . 3244
- . 0005 . 3772 . 3032
-.0500 58.1256 57.9362
-.0462 44.3208 44.4139
-.0404 33.8470 32.8933
-.0304 24.0274 21.1846
-.0120 10.4203 7.5476
-.004J 4.3264 2.8779
-.0022 2.3610 1.5236
.0335 31.9026 22.4391
.0307 29.4603 20.3130
.0265 23.7249 17.6278
.0193 19.4305 12.9393
.0067 7.9340 4.9809
. 0020 3 . 0799 1 . 8809
.0008 1.5993 .9721
.0232 27.0182 17.9400
.0199 21.2128 14.0846
.0109 14.3478 9.6937
.0023 6.8790 3.1129
-.0019 1.7046 1.3672
-.0012 .8689 .6925
-.0008 .5815 .4352
-.0304 39.2358 58.8619
-.0466 44.9216 45.0539
-.0403 34.1320 33.3243
-.0308 24.2473 21.4344
-.0122 10.6579 7.6983
-.0043 4.5343 3.0017
-.0024 2.5565 1.6441
-------
VISUAL EFFECTS CAUSED BY BACKGROUND ATMOSPHERE (WITHOUT PLUftE)
*** VHITE, GRAV, AND BLACK OBJECTS AT INDICATED DISTANCES ***
BETA RO/RV REFLECT
58.
YCAP
Y DELYCAP
DELL C(400) CC330) CK700) BRATIO
DELX
DELY E(LUV) E(LAB)
80.
.02
.03
. 10
.20
.30
.80
1.00
.02
.03
.10
.20
.30
.30
1.00
.02
.03
.10
.20
.30
.80
1.00
.02
.03
.10
.20
.30
.80
1.00
.02
.03
.10
.20
.50
.80
1.00
.02
.03
.10
.20
.50
.80
1.00
.00
.00
.00
.00
.00
.00
.00
.50
.50
.30
.50
.30
.30
.30
0.00
0.00
0.00
0.00
0.00
0.00
0.00
.00
.00
.00
.00
.00
.00
.00
.50
.50
.30
.50
.50
.50
.50
0.00
0.00
0.00
0.00
0.00
0.00
0.00
98.50
96.44
93.49
88.99
82.22
T9.93
79.34
32. 19
35. 15
59.37
63.64
74.62
77.42
78. 12
5.83
13.86
23.23
42.29
67.03
74.90
76.90
99.38
98.52
97.29
93.41
92.34
91.37
91.30
33.07
57.23
63. 17
72.06
84.95
89.04
90.08
6.76
13.94
29.05
48.71
77 . 33
86.52
88.86
99.42
98.61
97.43
95 . 58
92.68
91.67
91.40
77.41
79. 13
81.31
84.83
89.23
90.52
90.84
29. 14
44.08
37.33
71. 10
83.53
89.36
90.28
99.76
99.43
98.94
98.20
97.03
96.63
96.34
77.93
80.33
83.53
38.01
93.87
93.60
96.03
31.29
46.94
60.86
73.29
90.49
94.54
95.52
.3307
.3283
. 3247
.3133
.3086
.3046
.3034
.3236
.3180
.3100
. 3026
.2'J')3
.3003
.301 1
.2390
.26 16
.2637
.2T30
.2883
.2961
.2987
. 3309
.3288
.3259
.3216
.3156
.3134
.3128
. 3259
.3192
. 3 1 26
. 3074
.3073
.30">9
.3109
.2683
.2709
.2752
.2327
.2984
.3062
.3088
.3408
.3376
. 3329
. 3260
.3161
.3131
.3124
.3332
.3263
.3177
.3103
.3037
.3104
.3111
.2623
.2660
.2718
.2817
.3000
.3076
.3097
.3408
.3377
. 3336
.3280
.3217
.3202
.3200
.3353
. 3272
.3195
.3141
.3154
.3180
.3139
. 2704
.2742
.2800
.2899
. 3082
.3157
.3178
19.52
17.46
14.31
10.01
3.24
.96
.36
-26.80
-23.83
-19.62
-13.34
-4.36
-1.36
-.86
-73. 1 1
-65. 12
-33.74
-36.69
-11.93
-4.08
-2.09
8. 16
7.30
6.07
4. 19
1.32
.34
.08
-38. 16
-33.99
-23.03
-19. 16
-6.27
-2. 13
-1. 14
-84.47
-73.28
-62. 17
-42.31
-13.87
-4.70
-2.37
8.18
7.37
6. 19
4.35
1.44
.43
. 16
-13.82
-12.09
-9.72
-6.41
-2.01
-.71
- . 39
-62. 10
-47. 16
-33.89
-20.14
-3.70
-1.88
-.93
3.25
2.92
2.44
1.69
.54
. 14
.03
-18.57
-16. 18
-12.96
-8.50
-2.64
-.90
-.47
-65.22
-49 . 57
-35.65
-21.21
-6.01
-1.97
-.98
-. 1998
-. 1576
-. 1062
- . 0482
- . 0046
- . 0005
- . 0002
-.5268
-.4156
- . 2800
-.1271
-.0119
-.0012
- . 0003
- . 8533
- . 6736
- . 4537
- . 2039
-.0193
-.0019
-.0004
- . 2356
-. 1859
-. 1232
-.0568
-.0054
- . 0006
- . 0002
- . 5447
- . 4297
-.2895
-. 1314
-.0123
-.0012
- . 0003
-.8538
- . 6736
- . 4537
- . 2059
-.0193
-.0019
- . 0004
.2329
.2243
. 1341
. 1234
.0360
.0089
.0023
- . 3360
-.2992
-.2466
-. 1678
-.0341
-.0190
-.0104
-.9230
- . 8229
-.6773
-.4390
-. 1442
- . 0468
-.0231
.0813
.0720
.0588
.0389
.0104
.0015
- . 0006
-.4218
- . 3734
- . 309 1
-.2098
-.0666
- . 0223
-.0115
-.9249
- . 8223
-.6770
-.4586
-. 1435
- .046 1
- . 0224
.5237
.4829
.4220
.3222
. 1441
.0632
. 0389
-.2117
-. 1949
-. 1699
-. 1290
-.0558
- . 0234
- . 0 1 26
-.9470
- . 8728
-.7618
-.5801
-.2537
- . 1 120
-.0641
.2002
. 1850
. 1622
. 1250
.05a>
.0290
.0192
- . 3734
- . 3437
-.2994
-.2269
- . 0974
- . 040 1
-.0210
-.9469
- . 8724
-.761*
- . 5783
-.2333
-. 1091
- . 06 1 1
.3232
.5680
.6286
.7198
.8701
.9384
.9624
.6003
.7259
.8674
1 . 0022
1 . 0465
1 . 0228
1.0123
2.7608
2.5663
2.2929
1.8914
1.3176
1. 1240
1.0630
.6369
.6871
.7527
.3384
.9397
.9713
.9810
.7266
.8689
.0142
. 1236
. 0943
.0403
.021 1
2.7320
2.5532
2.2857
1.3854
1.3135
1 . 1204
1 . 0646
.0236
.0262
.0226
.0167
.0066
.0023
.0013
. 0234
.0159
.0079
. 0004
- . 0028
-.0017
- . 00 1 1
- . 043 1
- . 0405
-.0364
- . 029 1
-.0138
- . 006 1
- . 0034
.0187
.0166
.0137
.0095
.0034
.0013
.0007
.0138
. 0070
. 0004
- . 0048
- . 0046
- . 0023
-.0013
- . 0439
-.0412
- . 0370
-.0295
-.0138
-.0060
- . 0033
.0288 26.9033 17.9933
.0233 24.2090 16.0393
.0209 20.3361 13.3177
.0140 14.4280 9.2338
.0041 5.2966 3.2348
.0011 1.9633 1.1753
. 0003 1 . 0072 . 6047
.0232 26.0700 19.3961
.0145 19.9196 13.3384
.0057 13.1026 10.9203
-.001O 6.7154 6.5072
-.0033 3.0140 2.4821
-.0016 1.3107 1.0763
-.0010 .9017 .6392
-.0498 62.2124 62.1342
-.0460 47.6997 47.6795
-.0402 36.6832 35.3574
-.0303 26.2504 22.8262
-.0120 11.5344 8.2215 Jo
-.0043 4.8970 3.2096 fg
-.0023 2.7496 1.7333
.0209 18.7187 12.2O91
.0178 16.2785 10.5693
.0136 12.9883 8.2860
.0030 8.4823 5.2439
.0017 2.8014 1.6424
.0003 1.0793 .6372
-.0000 .6040 .3700
.0153 23.8-563 20.8449
.0072 18.5321 17.0814
-.0005 13.2417 13.0360
-.0059 9.0101 8.7485
-.0046 4.*433 3.5338
- . 0020 2 . 089 7 1 . 4402
-.0011 1.1876 .7980
-.0496 63.2378 63.3O51
-.0458 50.9262 50.4304
-.0400 39.7390 37.5950
-.0301 28.6074 24.3928
-.0118 12.3597 8.7698
-.0043 5.1424 3.3732
- . 0022 2 . 830 1 1 . 8072
-------
INITIAL PLUME RISE AND DILUTION AND NITROGEN DIOXIDE FORMATION
2230 MV COAL POVER PLANT
TIME
(SEC)
0.
10.
20.
30.
40.
30.
60.
70.
80.
90.
100.
110.
120.
130.
140.
130.
160.
170.
180.
190.
200.
210.
220.
230.
X
(PO
0.0
30.0
100.0
130. 1
200. 1
230. 1
300.1
350. 1
400.2
430.2
300.2
330.2
600.2
630. 3
700.3
730.3
800.3
830.3
900.3
930.4
1000.4
1030.4
1100.4
1130.4
DELTA H
(MJ
0.0
27. 1
43.0
56.3
63.2
79.1
89.3
98.9
108.1
117.0
123.3
133.7
141 .7
149.4
137.0
164.4
171.6
178.6
183.6
192.4
199. 1
203.6
212. 1
218.3
U
(M/S)
3.00
5.00
5.00
5.00
5.00
5.00
5.00
3.00
3.00
3.00
3.00
3.00
5.00
5.00
5.00
3.00
3.00
3.00
5.00
5.00
5.00
5.00
5.00
3.00
V
OVS)
27.43
1.80
1.43
1.25
1. 14
1.05
.99
.94
.90
.87
.84
.81
.79
.77
.73
.73
.71
.70
.69
.68
.66
.63
.64
.63
V
(PI'S)
27.43
3 . 32
5.20
5.16
o. 13
5. 11
3 . 10
3.09
3.08
3.08
3.07
3.07
5.06
5.C',
5.06
3 . 03
3.03
3.05
5.05
3.05
3.05
5.04
5.04
5.04
SIGMA
(M)
0.0
6.3
10.0
13. 1
15.8
13.4
20.8
23.0
23.1
27.2
29.2
31.1
32.9
34.7
36.5
37.8
37.8
37.8
37.8
37.8
37.8
37.8
37.8
37.8
TEMP O2 NO2-NO RATIO NOX NO N02T SO2 PARTICULATE
MOL P EQUIL ACTUAL (PPM) (PPM) (PPM) (PPPD UG/M3
394.3 1.7 2.6E+03 2.0E-03 487.833 486.875 .938 601.260 1.96E+04
330.6 10.4 4.7E+04 3.2E-03 266.255 265.397 .838 328.162 1.07E+04
317.4 17.1 2.7E+05 8.2E-03 97.865 97.067 .798 120.620 3.94E+O3
309.2 18.74.1E+03 .2E-02 56.052 35.403 .649 69.085 2.26E+03
305.6 19.4 4.9E+03 .4E-02 37.965 37.441 .524 46.792 1.53E+03
303.7 19.8 5.4E+03 .6E-02 28.120 27.687 .433 34.658 1 . 13E+03
302.3 20. 3.8E+05 .7E-02 22.024 21.658 .366 27.144 8.87E+02
302. 20. 3.9E+03 .8E-02 20.287 19.931 .357 25.004 8. 17E+02
302. 20. 3.9E+05 .9E-02 20.287 19.913 .373 23.004 8. 17E+02
302. 20. 3.9E+05 2.0E-02 20.287 19.895 .392 25.004 8. 17E+02
302. 20. 3.9E+03 2. 1E-02 20.287 19.877 .410 23.004 8. 17E+02
302. 20. 3.9E+03 2.2E-02 20.287 19.859 .428 25.004 8. 17E+02
302. 20. 5.9E+03 2.2E-02 20.287 19.8-H .446 23.004 3. 17E+O2
302. 20. 5.9E+05 2.3E-02 20.287 19.823 .464 23.004. 8. 17E+02
302. 20. 5.9E+05 2.4E-02 20.287 19.806 .482 25.O€>4 8. 17E+02
302. 20. 5.9E+05 2.5E-02 20.287 19.788 .499 25.004 8. 17E+02
302. 20. 5.9E+03 2.6E-02 20.287 19.770 .517 23.O04 8. 17E+02
302. 20. 5.9E+03 2.7E-02 20.287 19.753 .534 25.004 8. 17E+02
302. 20. 5.9E+05 2.8E-02 2O.287 19.733 .352 25.004 8. 17E+02
302. 20. 5.9E+05 2.9E-02 20.287 19.718 .569 23.004 8. 17E+02
302. 20. 5.9E+03 3.0E-02 2O.287 19.700 .587 25.004 8. 17E+02
302. 20. 5.9E+05 3. 1E-02 20.287 19.683 .604 25.004 S. 17E+02
302. 20. 5.9E+05 3.2E-02 20.287 19.666 .622 25.004 8. 17E+O2
302. 20. 5.9E+05 3.3E-02 20.287 19.648 .639 25.004 8. 17E+02
-------
DOVNVIND DISTANCE (KM) =
Pl.UME ALTITUDE =
SIGMA Y (N> =
?iIGMA Z (N> =
^02-SO4 CONVERSION RATE=
.VOX-NO3 CONVERSION RATE=
CONCENTRATIONS OF AEROSOL AND GASES CONTRIBUTED BY
2230 MW GOAL POVER PLANT
1.2
439.
59.
24.
.5000 PERCENT/HR
0.0000 PERCENT/HR
VLTITUDE
H+2S
INCREMENT:
TOTAL AMB:
H+1S
INCREMENT:
TOTAL AMB:
II
INCREMENT:
TOTAL AMB:
H-1S
INCREMENT:
TOTAL AMB:
H-2S
INCREMENT:
TOTAL AMB:
0
1 NCREMENT:
TOTAL AMB:
EMULATIVE
NOX
( PPM)
2.709
2 . 709
12. 142
12. 142
20.019
20.019
12. 142
12. 142
2.709
2.709
.000
.000
NO2
( PPM)
.127
.127
.432
.432
.687
.687
.432
.432
.127
.127
0.000
0.000
SURFACE DEPOSITION
S02:
NOX:
•RIMARY PARTICULATE:
SO4:
NO3:
0.0000
0.0000
0.0000
0.0000
0.0000
NO3-
(UG/M3>
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
NO2/NTOT
(MOLE %)
4.«87
4.687
3.560
3.560
3.432
3.432
3.560
3.560
4.687
4.687
0.000
0.000
NO3-/NTOT
(MOLE %)
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
SO2
( PPM)
3.339
3.339
14.965
14.965
24.673
24.673
14.965
14.965
3.339
3.339
.000
.000
S04=
(UG/M3)
. 160
1.925
.803
2.553
1.333
3.077
.808
2.553
. 180
1.925
.000
1.745
S04=XSTOT
(MOLE %)
.001
.015
.001
.004
.001
.003
.001
.004
.001
.015
.001
100.000
03
(PPPD
-.039
.001
-.040
.000
-.040
.000
-.040
.000
-.039
.001
0.000
.040
PRIMARY
(UG/M3) (
109.060
140.805
488.773
520.517
805 . 850
837.594
483.773
520.517
109.060
140.805
.000
3 1 . 745
BSP- TOTAL
10-4 M-l)
2. 195
2.396
9.835
10.037
16.216
16.418
9 . 835
10.037
2. 195
2.396
.000
.202
BSPSN/BSP
(%)
.478
4.668
.478
1.478
ro
00
.478
1.089
.478
1.478
.473
4.668
.478
50.270
(MOLE FRACTION OF INITIAL FLUX)
-------
VISUAL EFFECTS FOR HORIZONTAL SIGHT PATHS
2230 MW COAL POVER PLANT
DOVNVIND DISTANCE (KM) = 1.2
PLUME ALTITUDE (Ml = 439.
SIGHT PATH IS THROUGH PLUME CENTER
THETA ALPHA RP/RV0
90.
30.
30.
30.
30.
30.
30.
43.
43.
43.
4.3.
43.
43.
60.
60.
60.
60.
60.
60.
90.
90.
90.
90.
90.
90.
RV ^REDUCED
YCAP
Y DELYCAP
DELL C(530) BRATIO
DELX
DELY E(LUV) E(LAB)
02
03
10
20
50
80
02
05
10
20
50
30
02
03
10
20
30
30
02
03
10
20
50
80
15.0
14.6
14. 1
13.3
12.2
11.9
19.6
19.3
18.9
18.3
17.4
17.2
121.5
21.3
121.0
120.5
119.8
119.5
122.7
122.5
122.2
121.8
121. 1
120.9
11.53
11.82
12.23
12.84
13.69
13.93
8.04
8.23
8.56
9.02
9.66
9.85
6.32
6.70
6.96
7.34
7.88
8.04
5.62
5.78
6.01
6.34
6.82
6.96
37.54
58.29
59.33
60.92
63. 12
63.78
39.09
39.67
60.48
61.68
63.36
63.86
59.87
60.33
61.04
62.06
63.48
63.90
60.36
60.79
61.40
62.29
63.35
63.93
80.50
80.92
81.50
82.33
83.52
83.87
31.36
81.67
82.11
82.76
«°-65
^3.91
81.78
82.03
82.42
82.96
83.71
83.93
82.05
82.23
82.61
83.09
83 . 75
83.94
.3146
.3116
.3080
.3037
.3001
.2999
.3112
.3090
.3062
. 3029
.3001
.2999
.3094
.3076
.3053
. 3025
.3001
.2999
. 3083
.3067
.3047
.3023
.3001
.3000
.3277
.3238
.3192
.3141
.3107
.3107
.3239
.3210
.3175
.3136
.3108
.3103
.3220
.3196
.3166
.3132
.3109
.3108
.3207
.3186
.3160
.3130
.3109
.3109
-6.58
-3.83
-4.76
-3.20
-1.00
-.33
-3.03
-4.45
-3.64
-2.44
-.76
-.26
-4.23
-3.76
-3.08
-2.06
-.64
-.22
-3.76
-3.33
-2.72
-1.82
-.57
-.19
-3.54
-3. 12
-2.54
-1.69
-.52
-. 17
-2.68
-2.37
-1.93
-1.23
-.40
-. 13
-2.26
-2.00
-1.62
-1.08
-.33
-. 11
-1.99
-1.76
-1.43
-.96
-.30
-.10
-.0950
- . 0843
-.0696
- . 0473
-.0151
- . 005 1
- . 0723
-.0644
-.0530
-.0360
-.0115
- . 0039
- . 06 1 1
- . 0344
- . 0448
- . 0304
-.0097
- . 0033
- . 0540
- . 0480
-.0396
-.0269
- . 0086
- . 0029
.7737
.8268
.8904
.9592
1 . 0025
1.0019
.8211
.8628
.9127
.9670
1.0017
1.0014
.8463
.8820
.9248
.9714
1.0013
1.0012
.8628
.8945
.9327
.9743
1 . 00 1 1
1.0010
.0146
.0116
. 0079
.0037
.0001
- . 0002
.0111
.0039
.0062
. 0029
.0001
- . 000 1
.0094
.0076
.0052
. 0025
.0001
- . 000 1
. 0083
.0067
.0047
.0022
.0001
- . 000 1
.0166
.0127
.0081
.0030
- . 0004
- . 0004
.0129
.0099
.0064
. 0023
- . 0003
- . 0003
.0109
. 0085
.0055
. 0022
- . 0002
- . 0002
.0097
.0075
.0049
.0020
- . 0002
- . 0002
14. 1896
1 1 . 3329
7.8982
3.8192
.6099
.2701
1 1 . 0503
8.8984
6 . 2064
3.0213
.4668
.2026
9.4214
7.6008
5.3148
2.5962
.3955
. 1698
8.3733
6.7630
4.7363
2.3186
.3503
. 1494
9 . 3744
7.49a5
5.2121
2.6087
.3702
.2316
7.2674
3.8391
4.0794
2.0471
.43S0
. 1749
6. 1823
4.9782
3.4869
1 . 7528
.3653
. 1471
3.4869
4.4242
3. 1040
1.5621
.3226
. 1297
-------
VISUAL EFFECTS FOR HOW-HORIZONTAL CLEAR SKY VIEWS THROUGH PLUME CENTER
2230 MW COAL POWER PLAITT
OWNWIND DISTANCE (KM)
LUME ALTITUDE
HETA ALPHA
90.
BETA
1.2
439.
RP
YCAP
X
Y DELYCAP
DELL C(330) BRAT1O
DELX
DELY E( LUV) E( LAB)
30.
30.
30.
30.
30.
30.
43.
43.
43.
43.
43.
43.
60.
60.
60.
60.
60.
60.
90.
90.
90.
90.
90.
90.
15.
30.
43.
60.
75.
90.
13.
30.
43.
60.
73.
90.
15.
30.
45.
60.
73.
90.
15.
30.
43.
60.
75.
90.
3.31
1.53
.98
.67
- . 30
.44
2.36
1. 16
.76
.37
.47
.44
1.94
.98
.67
.33
.46
.44
1.70
.83
.62
.51
.43
.44
40.48
32.28
29. 10
27.57
26.84
26.62
38.91
29.49
23.82
24.07
23.24
22.98
38. 17
28. 12
24.21
22.34
21.43
21. 13
37.72
27.26
23. 19
21.24
20.32
20.04
69. 84
63.61
60.90
39.53
33. 86
58.63
63.71
61 .24
37.90
36. 19
33.33
55.09
63. 17
60.03
36 .33
34.42
33.47
53. 18
6T.84
59.25
55.30
33.23
52.23
51.92
.2873
.2879
.2898
.2912
.2920
.2923
.2809
.2801
.2817
.2331
.2839
. 2342
. 2774
.2758
.2772
.2733
.2794
.2796
.2731
.2730
.2742
.2753
.2763
.2763
.3017
.3008
.3023
.3037
.3046
.3049
.2944
.2916
.2928
.2941
.2949
. 2952
.2904
.2863
. 2874
.2886
.2894
.2897
.2877
.2831
.2837
.2348
.2856
.2858
5.90
11.39
13.56
14.59
15.08
15.23
4.32
8.60
10.28
11.09
11.47
11.59
3.59
7.23
8.67
9.36
9.69
9.78
3. 14
6.37
7.65
3.26
8.56
3.65
4.38
10.74
14.50
16.76
17.99
18.38
3.26
8.37
11.30
13.42
14.48
14.81
2.72
7. 16
9.92
11.64
12.60
12.90
2.39
6.38
8.90
10.48
11.36
11.64
.1852
.3736
.9122
1 . 1725
1.3358
1.3913
. 1373
.4340
. 6928
.8919
1.0171
1.0599
. 1145
.3654
.5843
.7528
.8588
.8950
. 1005
.3224
.5160
.6651
.7589
.7909
.4950
. 3830
.3361
.3122
. 3003
.2963
.5691
.4552
.4021
.3740
.3398
. 3334
.6142
.5012
. 4452
.4147
.3991
.3942
. 6459
.5347
.4772
. 4452
.4286
. 4233
.0311
.0403
. 0450
. 0477
.0492
.0497
.0245
. 0324
.0369
.0396
. 04 1 1
.0413
.0210
.0281
.0325
.0351
.0365
.0370
.0187
.0253
.0294
.0320
.0334
.0339
.0370 24.0219 13.5337
.0495 25.6559 19. 1337
.0558 26. 1408 21.3101
.0393 26.5220 22.7167
.0612 26.7924 23.3181
.0618 26.8913 23.7798
.0297 19.2164 12.3382
.0403 20.4453 13.2365
.0462 20.9023 17.0917
.0497 21.2680 18.3186
.0313 21.3172 19.0214
.0321 21.6033 19.2303
.0257 16.5918 10.6812
.0352 17.6537 13.1589
.0408 18.1061 14.3373
.0442 13.4699 15.9624
.0460 18.7144 16.6103
.0466 18.8003 16.8219
.0230 14.8596 9.5383
.0318 15.8208 11.7971
.0371 16.2682 13.3334
.0404 16.6293 14.4066
.0422 16.8705 13. O 137
.0428 16.9549 15.2150
ro
00
01
-------
PLUME VISUAL EFFECTS FOR HORIZONTAL VIEWS
PERPENDICULAR TO THE PLUME OF WHITE, GRAY, AND BLACK OBJECTS
FOR VARIOUS OBSERVER-PLUME AND OBSERVER-OBJECT DISTANCES
2230 MW COAL POWER PLANT
DOWNWIND DISTANCE (KM) * 1.2
THETA • 90.
REFLECT RP/RV0 RO/RV0 YCAP
Y DELYCAP
DELL CC330) BRAT10 DELX DELY E(LUV) E(LAB)
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
1.0
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
..1
.3
.3
.3
.3
.3
.3
.3
.3
0.0
0.O
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.02
.02
.02
.02
.02
.02
.03
.03
.03
.03
.03
.10
. 10
. 10
. 10
.20
.20
.20
.30
.30
.80
.02
.02
.02
.02
.02
.02
.03
.03
.03
.03
.03
. 10
. 10
. 10
. 10
.20
.20
.20
.30
.30
.80
.02
.02
.02
.02
.02
.02
.03
.03
.03
.02
.03
. 10
.20
.30
.80
.03
. 10
.20
.30
.80
.10
.20
.50
.80
.20
.30
.80
.30
.80
.80
.02
.05
. 10
.20
.50
.80
.03
. 10
.20
.30
.80
. 10
.20
.30
• Qv
.20
.30
.80
.30
.80
.80
.02
.03
. 10
.20
.30
.80
.03
. 10
.20
83.33
77.71
69.40
56.37
33.47
32.30
81.31
73. 19
60.67
42.27
36.30
78.60
'66.08
47.68
41.71
74. 17
55.77
49.80
67.49
61.52
65.23
49.43
47.29
44. . 23
39 . 63
32.84
30.62
31.09
43.03
43.42
36.63
34.42
53.44
48.83
42.04
39.83
56.93
50. 14
47.92
61.83
59.64
63.33
13.33
16.87
19.07
22.38
27.20
28.74
20.67
22.87
26. 18
93.23
90.66
86.71
30. 13
68.40
63.79
92.36
88.35
82.22
71.08
66.78
91.06
85 . 05
74.63
70.70
89 . 02
79.30
75.97
83.76
82.67
84.62
73.74
74.40
72.41
09 . 23
64.06
62.22
76.75
74.87
71.87
67.03
63.32
78. 15
73 . 37
70.93
69.38
80. 16
76.17
74.80
82.83
81.66
83.64
46. 12
48. 13
50.31
54.46
59. 19
60.59
32.62
34.97
38.24
.3374
.3394
.3419
.3433
.3320
.3131
.3342
.3339
.3361
.3231
.3100
.3294
. 3285
.3148
.3028
.3218
.3086
.2980
.3088
.3002
.30.~i
.3283
. 3288
. 3286
. 3266
.3169
.3102
.3217
.3211
.3186
.3090
.3028
.3139
.3111
.3020
.2964
.3036
.2974
.2927
.2997
.2959
.2993
.2872
.2368
.2872
.2896
.2972
.3015
.2802
.2311
.2838
.3473
.3489
.3506
.3304
. 3372
. 3258
.3431
.3440
.3425
.3279
.3168
. 3372
. 3347
.3195
. 3093
.3286
.3141
.3051
.3163
.3091
.3126
.3384
.3384
. 3379
. 3335
.3263
.3211
. 3305
.3296
.3266
.3173
.3124
.3219
.3187
.3097
.3053
.3135
.3053
.3018
.3094
.3064
.3101
.2971
.2973
.2938
.3027
.3119
.3160
.2838
.2907
.2949
-13.88
-16.13
-19.39
-24.23
-31.24
-33.46
-12.35
-15.59
-20.43
-27.44
-29.66
-10. 18
-13.02
-22.03
-24.25
-6.93
-13.94
-16. 16
-2.22
-4.44
-.73
-1.67
-5.28
-10.43
-18. 13
-29.28
-32.81
-1.48
-6.63
-14.33
-25.48
-29.01
- 1 .22
-8.92
-20.07
-23.60
-.33
-11.98
-13.31
-.26
-3.80
-.09
10.34
5.39
-1.47
-12.03
-27.32
-32. 17
9.39
2.33
-8.23
-3.74
-6.92
-8.78
-12.06
- 18.47
-21 .20
-5.21
-6.94
-9.97
-15.78
-18.21
-4.43
-7. 13
-12.22
-14.29
-3. 17
-7.36
-9.02
-1. 10
-2.32
-.37
-1.02
-3.24
-6.46
- 1 1 . 39
-18.93
-21.47
-.89
-4.00
-8.75
-15.96
-18.36
-.71
-5.23
-12.06
-14.31
-.46
-6.82
-8. 89
-. 14
-2.03
-.03
19.97
8.04
-1.67
-10. B3
-19.39
-21.76
12.33
2.49
-T.08
-.1406
- . 1706
-.2173
-.2992
-.4492
-.5038
-. 1299
-. 1743
- . 2520
-.3944
-.4482
-.1130
-. 1847
-.3162
-.3639
- . 0838
-. 1991
- . 2426
- . 030 1
- . 0648
- . 0098
- . 0272
-.0960
-. 1876
- . 3 1 24
-.4699
-.5140
- . 0235
-. 1 180
-.2465
- . 4089
-.4544
-.0183
-. 1526
-.3219
- . 3693
-.0118
-. 1915
-.2418
- . 0034
- . 0579
-.0010
2.2445
. 5 1 32
-.0610
- . 3426
- . 4959
-.5228
.8435
. 1214
- . 2339
.9390
.8333
.7562
.6640
.6797
.7718
.9777
.8827
.7961
.8276
.9293
1.0197
.9370
.9760
.0781
.0336
.0341
. 1698
.0481
.0949
.0247
.0194
.8612
. 7334
.6566
.7192
.8092
1 . 0207
.8761
.7907
.8638
.9644
1 . 0202
.9236
.9994
. 1044
.0168
.0808
.1783
.0078
.0798
.0033
.40? 5
.5244
.3777
.6531
.7986
.8614
.6151
.6709
.7611
.0037
.0091
.0139
.0203
.0209
.0134
.0038
.0078
.0129
.0120
.0052
.0014
. 00-13
. 0037
- . 0020
-.0013
- . 0026
- . 0067
- . 0023
-.0046
-.0012
.0013
.0078
.0148
.0207'
.0170
.0105
.0007
.0073
.0127
.0090
.0031
. 000 1
. 0032
.0020
- . 0032
- . 0003
- . 0026
-.0069
- . 0003
- . 0038
- . 0002
.0296
.0267
.0230
.0132
.0106
.0072
.0201
.0170
.0124
.0034 7.3361 6.3551
.0090 10.4381 8.6282
.0140 14.6367 11.7258
.0200 20.3804 16.2093
.0188 23.4236 21.4603
.0123 23.5314 22.8583
.0033 6.1396 5.6000
.0074 9.6748 8.1933
.0121 14.7289 12.1333
.0093 19.3737 17.1339
.0033 19.9325 18.7657
.0007 4.6023 4.4898
. 0043 8.50 * 7 7 . f> 9 89
.0012 13.1232 12.4981
-.0042 14.4413 14.3234
-.0019 3.3319 3.2646
-.0043 7.4830 7.4318
-.0083 9.6569 9.3595
-.0021 2.0276 1.3132
-.0044 3.9439 3.0424
-.0009 .9460 .6297
.0014 1.4453 1.2272
.0086 7.0019 3.2680
.0161 13.7070 10.2303
.0216 20.9321 13.9855
.0166 23.4743 21.3637
.0109 25.4962 22.9576
.0007 1.0866 .9733
.0078 7.4813 5.6960
.0128 14.5010 11.3230
.0076 19.3645 17.1687
.0022 19.9425 18.8466
.0001 .7413 .7209
.0048 7.4534 6.1314
.0001 12.9973 12.3233
-.0049 14.4444 14.3362
-.0003 .4875 .4752
-.0041 6.8800 6.8701
-.0084 9.4590 9.2013
-.0003 .2333 .1893
-.0038 3.2746 2.5892
-.0001 .1138 .0766
.0360 20.0212 20.2378
. 0325 1 2 . 84 1 3 11.1 503
.0281 16.0943 10.5'Mj
.0221 21.9451 13.8663
.0128 23.4016 21.7432
.0092 25.4573 23.0827
.0240 13.0331 13.0614
.0201 10.1322 7.0563
.0143 15.0038 10.5919
ro.
oo
-------
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.03
.03
. 10
. 10
. 10
.10
.20
.20
.20
.00
.50
.80
.30
.80
. 10
.20
.00
.80
.20
.30
.80
.30
.80
.80
31.00
32.34
28.28
31.39
36.41
37.93
39.68
44.30
46 . 04
36.21
37.76
61.47
62.34
63.82
60. 17
63.03
66.86
68.01
69.27
72. 5a
73.60
79. T3
80.62
82.63
.2911
.2930
.2772
.2798
.2863
.2897
.2789
.2843
.2871
.2892
.2914
.2933
.3038
. 3076
.2838
.2397
.2977
.3010
.2888
.2934
.2982
.3013
.3036
.3073
-23.32
-28.37
7.74
-2.82
-18. 11
-22.96
3.27
-10.02
-14.87
1.69
-3. 16
.36
-16.23
-18.33
7.69
-2.28
-11.93
-14.34
3.93
-6.20
-8.73
.97
-1.73
.30
- . 427 1
- . 46 1 1
.3813
- . 0787
- . 3290
- . 3730
. 1339
-. 1820
-.2410
.0301
- . 0305
.0084
.9320
1.0122
.7320
.8346
1.0398
1. 1390
.8403
1 . 0736
1. 1890
.9458
1.0615
.9782
.0043
.0007
.0131
.0084
- . 0003
- . 0046
.0073
- . 0023
-.0071
.0026
- . 0029
.0011
.0047
. 0W08
.0151
.0090
-.0014
- . 0037
.0082
- . 0037
- . 0086
.0023
- . 003 1
.0008
19.3101
19.9572-
8.7462
7.9818
12.8742
14.4523
5 . 3625
6 . 2773
9.2565
1.9528
2.5774
.7730
17.2364
18.9453
8.3502
5 . 1003
12. 1623
14.3542
4.6358
6 . 2339
9 . 0389
1 . 4070
2. 1220
.5114
ro
CO
CO
-------
DOVNVIND DISTANCE (KM) =
PLUME ALTITUDE (M) *
SIGMA Y (M) *
SIGMA Z 439.
* 93.
= 33.
.5000 PERCENT/HR
0.0000 PERCENT/HR
ALTITUDE
H+23
INCREMENT:
TOTAL AMB:
H+1S
INCREMENT:
TOTAL AMB:
H
INCREMENT:
TOTAL AMB:
H-1S
INCREMENT:
TOTAL AMB:
H-2S
INCREMENT:
TOTAL AMB:
0
INCREMENT:
TOTAL AMB:
NOX
( PPM)
1.217
1.217
3.434
5.434
8.992
8.992
5 . 454
5.454
1.217
1.217
.000
.000
NO2
( PPM»
.081
.081
.262
.262
.436
. 456
.262
.262
.081
.081
0.000
0.000
NO3- NO2/NTOT NO3-/NTOT
(UG/M3) (MOLE %) (MOLE %)
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
6.634
6.634
4.810
4.810
3.074
5.074
4.810
4.810
6.634
6.634
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
SO2
( PPM)
1 .499
1.499
6.720
6.720
1 1 . 080
1 1 . 080
6.720
6.720
1 . 499
1.499
.000
.000
PO4=
(UG/N3)
1.389
3.134
6.225
7.969
10.263
12.007
6.225
7.969
1.389
3. 134
.000
1.743
SO4=/STOT
(MOLE %)
.024
.033
.024
.030
.024
.028
.024
.030
.024
.053
.024
100.000
O3
( PPM)
-.039
.001
-.039
.001
-.039
.001
-.039
.001
-.039
.001
0.000
.040
PRIMARY BSP- TOTAL
(UC/M3) ( 10-4 M-l>
48.985
80.730
219.537
25 1 . 282
361.956
393.700
219.537
25 1 . 282
48.985
80.730
.000
31.745
1.062
1.263
4.758
4.960
7.845
8.047
4.758
4.960
1.062
1.263
.000
.202
BSPSN/BSF
(%)
7.602
14.412
7.602
9 . 336
7.602 o
8.671 u
7.602
9.336
7.602
14.412
7.602
50.270
CUMULATIVE SURFACE DEPOSITION (MOLE FRACTION OF INITIAL FLUX)
SO2: .0000
NOX: .0000
PRIMARY PARTICIPATE: .0000
SO4: .0000
NO3: 0.0000
-------
VISUAL EFFECTS FOR HORIZONTAL SIGHT PATHS
2230 MV GOAL POVER PLANT
DOWVIND DISTANCE (KM) = 2.0
PLUME ALTITUDE (N) = 439.
SIGHT PATH IS THROUGH PLUME CENTER
THETA ALPHA RPXRV0
90.
RV ^REDUCED
YCAP
Y DELYCAP
DELL C<350> BRATIO
DELX
DELY E(LUV) E(LAB)
30.
30.
30.
30.
30.
30.
43.
43.
43.
43.
43.
43.
60.
60.
60.
60.
60.
60.
90.
90.
90.
90.
90.
90.
.02
.03
. 10
.20
.50
.80
.02
.03
. 10
.20
.30
.80
.02
.03
. 10
.20
. 30
.80
.02
.03
. 10
.20
.30
.80
118.3
118.0
117.5
116.8
113.7
115.4
121.9
121.6
121.2
120.7
119.9
119.7
123.4
123.2
122.9
122.4
121.8
121.6
1124.3
124. 1
123.8
123.4
122.9
122.7
8.97
9.23
9.63
10. 19
10.98
11.22
6.26
6.46
6.74
7.16
7.73
7.93
3.08
5.25
5.48
- 5 . 83
6.32
6.47
4.38
4.53
4.73
5.04
3.47
5.61
37.98
58.69
->9.69
•61.15
63.20
63.81
319.49
60.02
6®. 78
61.88
63.43
63.89
60.23
60.68
61.31
62.24
63.34
63.93
60.69
61.08
61.64
62.46
63.61
63.95
80.73
81.14
81.68
82.48
83 . 36
83.88
81.38
81.87
82.27
82.87
83.68
83.92
81.98
82. 22
82.36
83.06
83.74
83.94
82.23
82.44
82.74
83. 17
83.78
83.93
.3133
.3123
.3037
.3042
.3003
.2999
.3117
.3095
.3066
.3033
.3003
.3000
. 3098
.3080
. 3056
. 3028
. 3003
.3000
.3086
.3070
.3030
. 3025
. 3002
. 3000
.3288
.3247
.3199
.3146
.3108
.3108
.3246
.3216
.3180
.3139
.3109
.3108
.3225
. 3200
.3170
.3135
.3109
.3109
.3211
.3190
.3163
.3133
.3110
.3109
-6.14
-3.43
-4.43
-2.96
-.92
-.30
-4.63
-4.10
-3.34
-2.23
-.69
-.23
-3.89
-3.44
-2.81
-1.88
-.38
-. 19
-3.43
-3.03
-2.48
-1.65
-.51
-. 17
-3.30
-2.90
-2.36
-1.36
-.48
-. 16
-2.47
-2.18
-1.77
-1.17
-.36
-. 12
-2.06
-1.82
-1.48
-.99
-.30
-. 10
-1.82
-1.60
-1.30
-.87
-.27
-.09
-.0886
-.0788
-.0649
-.0441
-.0140
- . 0047
-.0666
-.0592
- . 0488
- . 033 1
-.0105
- . 0036
-.0339
- . 0497
- . 0409
- . 0278
- . 0089
- . 0030
-.0492
- . 0438
-.0360
- . 0243
- . 0078
- . 0026
.7628
.8170
.8823
.9535
1 . 0006
1.0013
.8145
.8366
.9074
.9631
1 . 0002
1.0010
.8414
.8774
.9207
.9682
1 . 000 1
1 . 0008
.8383
.8908
. 9293
.9716
1 . 0000
1 . 0007
.0155
.0124
. 0086
.0041
.0003
-.0001
.0117
.0094
.0066
.0032
.0002
- . 000 1
.0098
.0079
.0056
.0027
.0002
-.0001
.0086
.0070
.0049
.0024
.0002
-.0001
.0177
.0137
. 008')
.0035
- . 0003
- . 0003
.0135
.0103
.0069
.0023
- . 0002
- . 0002
.0114
. 0089
.0039
.0024
-.0001
- . 0002
.0101
.0079
. 0032
. 0022
- . 000 1
- . 0002
14.8693
1 1 . 9738
8.3636
4.1054
.6120
.2380
11.4281
9 . 237 1
6 . 486 1
3 . 2044
.4673
. 1763
9.6848
7 . 8420
5.5198
2.7359
.3934
. 1470
8.3760
6.9318
4.9006
2.4340
. 3300
. 1290
9.7393
7.8168
5 . 4407
2.7133
. 5400
.2093
7.4676
6 . 009 1
4.2057 [
2. 1063 <
.4066
. 1360
6.31+7
5.0929
3.5741
1.7941
.3417
. 1304
5.5843
4.5100
3. 1704
1.3938
.3011
. 1146
-------
VISUAL EFFECTS FOR NON-HORIZONTAL CLEAR SKY VIEWS THROUGH PLUME CENTER
2230 MV COAL POVER PLANT
DOWWIND DISTANCE (KM)
PLUME ALTITUDE (M)
THETA ALPHA
90.
BETA
2.0
439.
RP
YCAP
Y DELYCAP
DELL CC550) BRATIO
DELX
DELY E< LU\O E(LAB)
30.
30.
30.
30.
30.
30.
43.
43.
45.
43.
45.
45.
60.
60.
60.
60.
60.
60.
90.
90.
90.
90.
90.
90.
13.
30.
43.
60.
75.
90.
15.
30.
45.
60.
75.
90.
15.
30.
45.
60.
75.
90.
15.
30.
45.
60.
75.
90.
3.31
1.58
.98
.67
.50
.44
2.36
1. 16
.76
.37
.47
.44
1.94
.98
.67
.53
.46
.44
1.70
.88
.62
.51
.45
.44
39.00
29.93
26.44
24.73
23.94
23.70
37.73
27.63
23.69
21.80
20.91
20.64
37. 18
26.51
22.36
20.38
19.43
19. 15
36.84
25.83
21.54
19.49
18.51
18.22
68.78
61.64
58.48
56.87
56.06
55.82
67.86
59.58
55.81
33.85
32.88
52.59
67.44
58.36
54.44
52.30
51.23
50.90
67. 18
57.91
53.57
51.29
50. 15
49.80
.2849
.2844
.2861
.2873
.2883
.2836
.2783
.2767
.2779
.2792
.2800
.2802
.2752
.2726
.2735
.2747
.2754
.2757
.2731
.2699
.2706
.2717
.2724
.2726
.2994
.2973
.2986
.3000
.3009
.3012
.2922
.2881
.2888
.2899
.2907
.2910
.2883
.2331
.2834
.2344
. 235 1
.2853
.2838
.2798
.2798
.2806
.2813
.2315
4.41
9.06
10.90
11 .77
12. 18
12.30
3. 16
6.73
8. 15
8.82
9. 13
9.24
2.39
3.62
6.82
7.40
7.67
7.75
2.25
4.94
6.00
6.51
6.75
6.83
3.32
8.78
12.08
14.09
15. 19
15.54
2.41
6.71
9.40
11.08
12.01
12.31
1.99
5.69
8.04
9.52
10.35
10.62
1.73
5.04
7.17
8.52
9.28
9.52
. 1419
.4396
.7366
.9494
1 . 0830
1. 1284
. 1032
.3427
.5516
.7124
.8133
.8480
.0853
.2867
.4623
.5975
.6826
.7117
.0744
.2519
.4067
. 5259
.6010
.6266
.5273
.4171
.3679
.3419
.3237
. 3245
.6032
.4951
.4413
.4117
.3963
.3917
.6480
.5431
.4877
. 4564
.4400
. 4349
.6790
.5774
.5215
.4892
.4722
.4668
.0285
.0367
.0413
.0440
.0435
.0460
.0221
.0290
.0332
.0357
.0371
.0376
.0183
. 0249
.0288
.0312
.0326
. 0330
.0167
.0222
.0259
.0282
.0295
.0300
.0347
.0460
.0521
. 0536
. 0575
.0581
. 0275
.0368
.0423
.0453
.0473
.0479
.0236
.0318
.0369
.0400
.0417
.0422
.0211
.0286
.0333
.0362
.0379
.0384
22.5453
23.3743
23.7606
23.9660
24. 1431
24 . 2 1 33
17.8639
13.5282
18.6914
18.3802
19 . 0330
19.0903
15.3503
15.8G22
16.0487
16 . 2384
16.3874
16.4428
13.7064
14. 1657
14.3353
14.5260
14.6732
14.7277
14.4899
17.2808
19.0296
20.2018
20.8350
21.1 107
11.4543
13.3724
13.0176
16.0127
16.5954
16.7871
9 . 8328
11 .6368
12.9241
13.8237
14.3334
14.3282
8.7747
10.3830
11.3645
12.3987
12.8924
13.0555
-------
PLUME VISUAL EFFECTS FOR HORIZONTAL VIEWS
PERPENDICULAR TO THE PLUME OF VHITF., GRAY", AND BLACK OBJECTS
FOR VARIOUS OBSERVER-FLUME AND OBSERVER-OBJECT DISTANCES
2230 MV COAL POVER PLAKT
DOWCVIND DISTANCE (KM) » 2.0
THETA = •)&.
REFLECT RP/RV0 RO/RV0 YCAP
Y DELYCAP
DELL C(550) BRATIO
DELX
DELY E( LUV) E(LAB)
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.3
.3
.3
.5
.5
. o
. o
.5
.3
.3
.3
.3
.3
.3
.3
.3
.5
.3
.3
.3
.3
5.0
9.0
5.0
E>.0
5.0
&.0
9.0
9.0
0.0
.02
.02
.02
.02
.02
.02
.03
.03
.05
.03
.03
. 10
.10
. 10
. 10
.20
.20
.20
.50
.50
.80
.02
.02
.02
.02
.02
.02
.03
.03
.03
.03
.03
.10
. 10
. 10
. 10
.20
.20
.20
.50
.50
.80
.02
.02
.02
.02
.02
.02
.031
.05
.03
.02
.05
. 10
.20
.50
.80
.03
. 10
.20
.50
.80
. 10
.20
.50
.80
.20
.50
.30
.30
.80
.80
.02
.05
. 10
.20
.30
.80
.03
. 10
.20
.30
.80
. 10
.20
.30
.80
.20
.30
.80
.30
.80
.80
.02
.05
. 10
.20
.30
.80
.05
. 10
.20
83. 11
78.98
70.22
57.02
37.62
3 1 . 33
82.93
74. 16
60.96
41.36
33.27
79.78
66.58
47. 18
40.89
74.99
53.59
49.30
67.76
61.46
63.32
49. 16
46.91
43.69
38.83
31.63
29 . 34
5O.86
47.64
42.78
33.62
33.29
33.26
48.40
41.24
38.91
• 56 .80
49 . 63
47.31
61.82
59.48
63.34
13.22
14.84
17. 17
20 . 63
25 . 73
27 . 36
18.79
21.11
24.60
93.94
91,23
87. 11
80.21
67.77
62. ai
92.99
89 . 0 1
82.37
70.60
65.99
91.39
83.31
74.33
70. 12
89.40
79.40
75.66
85 . 90
82.64
84.66
75 . 37
74. 16
72.05
63.66
63. 10
61.11
76 .61
74.62
71 .43
66.26
64.42
78.03
75. 10
70.37
63.71
80 . 09
73 . 87
74.41
82.83
81.57
83.64
43. 13
45 . 46
43.51
52.60
37 . 82
59 .34
50.48
53. 11
36.71
.3387
.3410
.3438
.3438
.3344
.3196
. 3333
.3374
.3380
. 3248
.3107
.3307
.3299
.3158
.3030
.3229
. 3092
.2980
.3093
.3003
.3037
.3302
. 3303
.3304
. 3283
.3183
.3109
. 3229
.3224
.3199
.3096
.3029
.3147
.3119
.3021
.2962
.3060
.2974
.2923
.2997
.2937
.2993
.2838
.2837
.2846
.2877
.2966
.3013
.2770
.2784
.2817
.3486
.3504
.3323
.3523
.3391
.3269
.3444
.3454
. 3442
.3290
.3171
.3384
.3339
.3201
.3091
.3295
.3144
.3049
.3166
.3091
.3127
.3400
.3401
.3396
.3372
. 3273
.3217
.3317
. 3307
.3276
.3176
.3123
.3226
.3192
.3096
. 3048
.3138
.3033
.3013
.3094
.3062
.3101
.2932
.2940
.2961
.3010
.3116
.3161
.2852
.2878
.2928
-12.29
-14.88
-18.37
-24.09
-32.09
-34.63
-10.93
-14.62
-20. 14
-28. 15
-30.69
-9.00
-14.32
-22.53
-23.07
-6.12
-14. 12
-16.66
-1.93
-4.49
-.64
-1.93
-3.66
-10.97
-18.92
-30.44
-34.09
-1.71
-7.03
-14.98
-26 . 49
-30. 15
-1.41
-9.36
-20 . 87
-24.33
-.93
-12.47
-16. 12
-.30
-3.95
-. 10
8.43
3.36
-3.38
-13.76
-28.79
-33.55
7.31
.57
-9.81
-3.03
-6.34
-8.38
-11.98
-19.10
-22. 18
-4.59
-6.49
-9.81
-16.27
-19.00
-3.90
-6.88
-12.54
-14.87
-2.79
—7. 47
-9 . 33
-.97
-2.35
-.33
-1. 18
-3.48
-6.82
-1 1.96
- 1 9 . 89
-22.57
- 1 . 03
-4.25
-9. 19
-16.73
-19.26
-.82
-5.52
-12.62
-14.93
-.33
-7. 12
-9.27
-.16
-2.11
-.03
16.98
5.37
-3.97
-12.71
-20.97
-23.01
10.39
.63
-8.60
-.1247
-.1376
- . 2090
-.2985
- . 4627
-.5248
-.1152
-. 1642
-.2494
- . 4057
- . 4648
- . 1003
-.1793
- . 3244
-.3792
- . 0743
- . 2023
-.2510
- . 0267
-.0659
- . 0087
- . 0334
- . 1043
- . 1988
- . 3273
-.4396
-.5330
-.0289
-. 1263
-.2588
- . 426 1
- . 4730
- . 0228
-.1610
-.3356
- . 3845
-.0146
-. 1999
-.2518
- . 0042
- . 0604
-.0013
1.7951
.3303
-. 1533
-.3936
- . 5232
-.5460
.6762
.0343
-.2804
.9118
.8236
.7272
.6340
.6328
. 7533
.9319
.O364
.7697
.8077
.9207
.9961
.9144
.9627
.0773
.0363
.0730
. 1722
. 0384
.0929
.0201
.9875
.8331
.7083
.6348
. 7037
.8002
.9989
.8375
.7736
.8373
.9664
1 . 0073
.9144
.0003
. 1141
.0112
. 0844
. 1893
.0069
.0830
.0032
.3271
.5650
.6150
.6881
.8126
.8676
.6635
.7160
.7995
.0071
.0106
.0137
.0226
. 0233
.0148
. 005 1
.0094
.0148
.0136
.0059
.0027
.0067
.0047
-.0018
- . 0003
- . 0020
- . 0067
-.0018
- . 0045
- . 00 10
. 0030
.0095
.0167
.0226
.0)83
.0113
.0020
.0086
.0140
.0096
.0032
.0009
.0059
.0021
- . 0035
. 000 1
- . 0026
- . 0073
- . 0003
- . 0039
-.0001
.0263
.0236
.0204
.0163
.0100
.0071
.0169
.0143
.0104
.0067 7.9038 6.4175
.0103 11.1121 8.7464
.0138 13.6126 12. 1158
.0221 21.6839 16.9133
.0207 26.8739 22.4810
.0134 26.8638 23.0799
.0045 6.3466 5.3683
.0089 10.2079 8.2953
.0137 13.6681 12.5631
.0106 20.3O32 17.8.J8*
.0036 20.8824 19.6090
.0019 4.5131 4.1329
.0053 9.0160 7.7373
.0017 13.6840 12.8979
-.0043 13.0477 14.9077
-.0010 2.8263 2.8142
-.0040 7.5661 7.3443
- . 0086 9 . 9603 9 . 6764
-.0017 1.6443 1.2729
-.0044 3.9219 3.0526
-.0008 .7850 .5314
.0030 2.4870 1.8714
.0102 8.1804 6.0435
.0178 14.9656 11.0973
.0233 22.2652 16.9525
.0177 26.7893 22.6746
.0115 26.7769 24. 12'>9
.0018 1.8312 1.4109
.0089 8.3936 6.2865
.0138 15.4540 12.0009
.0080 20.2996 17.9972
.0021 20.8840 19.7573
.0008 1.1719 .9604
.0033 8.0339 6.5305
-.0000 13.5960 12.8937
-.0034 15.1065 15.0013
-.0001 .3614 .5411
-.0043 7.1905 7.1760
-.0089 9.8899 9.6125
-.0003 .2336 .1926
-.0040 3.4072 2.6970
-.0001 .1107 .0772
.0321 17.0207 17.2314
.0291 11.0255 9.0472
.0234 16.1439 10.8334
.0204 22.7317 17.0363
.0125 26.5626 23.0172
.0093 26.6938 24.3240
.0203 10.763S 10.8179
.0171 9.1907 6.0336
.0122 15.3242 11.3801
ro
vo
-------
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.03
.05
. to
. 10
. 10
. 10
.20
.20
.20
.50
.30
.80
.30
.80
. 10
.20
.30
.80
.20
.00
.80
.50
.80
.80
29.68
31.30
26.73
30.22
33.30
36.92
38.62
43.70
45.33
55.87
37.50
61.36
61.41
62.79
38.76
61.87
66.01
67.25
68.50
72.05
73.13
79.36
SO. 48
82.39
.2901
.2943
.2748
.2778
.2851
.2888
.2774
.2833
.2863
.2887
.291O
.2931
.3029
.3071
.2831
.2876
.2966
.3002
.2872
.2944
.2974
.30 JO
.3032
.3073
-24.84
-29.61
6. 19
-4. 19
-19.22
-23.99
4.21
-1O.82
-15.58
1.33
-3.41
.44
-IT. 38
-19.55
6.28
-3.44
- 12.78
-15. 10
3. 19
-6.73
-9.22
.78
-1.87
.24
-.4317
-.4817
.3032
-.1189
- . 3496
-.3901
. 1231
-. 1966
- . 2527
.0241
-.0546
.0067
.9368
1.0302
.773O
.8733
1.0692
1. 1635
.8702
1 . 0987
1.2111
.9570
1 . O709
.9828
.0033
.OOO1
.0107
.0065
-.0015
- . 0034
.0060
- . 0033
- . 0079
.0021
- . 0033
.0008
.0038 20. 1744
.0003 20.9049
.O124 7.0808
.0070 7.7182
-.0026 13.3231
-.0065 15.1831
.0066 4.2808
- . 0047 6 . 783 1
-.0093 9.8194
.0019 1.5494
-.0035 2.8649
.0006 .6133
18.2363
19.9386
6.7940
3.3069
12.9473
15. 1125
3.7231
6 . 7734
9 . 5408
1. 1203
2.3263
.4066
ro
10
-------
CONCENTRATIONS OF AEROSOL AND GASES CONTRIBUTED BY
OWNVIND DISTANCE (KM) =
l.UME ALTITUDE (N) =
ICNA Y (N) =
ICNA Z =
•2-SO4 CONVERSION RATE=
>X-NO3 CONVERSION RATE=
2230 MV GOAL POWER PLANT
3.0
439.
222.
37.
.5000 PERCENTXHR
0.0000 PERCENT/HR
'.TITUDE
H+2S
INCREMENT:
C'TAL AMB:
11+ IS
INCREMENT:
>TAL AMB:
H
iCREMENT:
"TAL AMB:
II- IS
ICREMENT:
(MOLE %)
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
15.863
15.863
8.277
8.277
8.568
8.563
8.277
8.277
13.363
15.863
0.000
73.083
0.000
0.000
0 . 000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
S02
( PPM>
.381
.381
1.706
1.706
2.813
2.813
1.706
1.706
.381
.381
.000
.000
SO4=
(UG/M3)
1.399
3.343
7. 165
8.910
11.814
13.553
7.165
8.910
1.599
3.343
.000
1.745
SO4=/STOT
(MOLE %)
. 107
. 223
. 107
. 133
. 107
. 123
. 107
. 133
.107
.223
. 107
100.000
03
( PPM)
-.037
.003
- . 039
.001
-.039
.001
-.039
.001
-.037
.003
-.000
.040
PRIMARY BSP- TOTAL BSP8N/BS
(UC/M3) (10-4M-1) (%)
12.447
44. 191
55.781
87.526
91.968
123.713
55.781
87.526
12.447
44. 191
.000
31.745
.342
.544
1.533
1 . 735
2.328
2.730
1.333
1.735
.342
.544
.000
.202
27.132
35.724
27.152
29 . 839
27. 152
23.859
27. 152
29 . 839
27. 152
33 . 724
27.152
50.270
(MOLE FRACTION OF INITIAL FLUX)
ro
-------
VISUAL EFFECTS FOR HORIZONTAL SIGHT PATHS
2230 MV COAL POVER PLANT
X>VNV1ND DISTANCE (KM) = 5.0
I'l.UME ALTITUDE = 439.
-------
VISUAL EFFECTS FOR WOK-HORIZONTAL CLEAR SKY VIEWS THROUGH PLUME CENTER
2250 MW COAL POVER PLANT
DOVNVIND DISTANCE (MO
PLUME ALTITUDE (M)
THETA ALPHA
90.
BETA
3.0
439.
RP
VCAP
X
Y DELYCAP
DELL C(350) BRATIO
DELX
DELY E(LUV) E(LAB)
30.
30.
30.
30.
30.
30.
43.
43.
43.
43.
43.
43.
60.
60.
60.
60.
60.
60.
90.
9*.
90.
90.
90.
90.
13.
30.
45.
60.
73.
90.
13.
3W.
43.
60.
73.
90.
13.
30.
43.
60.
75.
90.
13.
30.
43.
60.
73.
90.
3.31
1.58
.98
.67
.50
.44
2.36
1.16
.76
.57
.47
.44
1.94
.98
.67
.53
.46
.44
1.70
.83
.62
.51
.43
.44
37.51
27.68
23.86
22.03
21. 15
20.89
36 . 6 1
23.86
21.68
19.68
18.73
18.44
36.22
25.01
20.63
18.57
17.57
17.28
33.99
24.50
20.02
17.88
16.86
16.55
67.69
59.63
55.98
54.09
33. 15
52.86
67.01
57.94
53.72
51.51
50.40
50.06
66.71
57.12
52.60
50.21
49.01
43.64
•66.34
56.62
51.89
49.39
48.12
47.73
.2823
.2809
.2820
.2831
.2839
.2842
.2767
.2734
.2739
.2748
.2733
.2737
.2736
.2693
.2698
.2705
.2710
.2712
.2716
.2671
.2671
.2677
.2682
.2683
.2980
.2943
.2949
.2960
.2968
.2971
. 2909
.2831
.2330
.2837
.2863
.2863
.2871
.2803
.2797
.2802
. 2306
.2808
.2846
.2771
.2762
.2766
.2769
.2771
2.93
6.79
8.32
9.03
9.39
9.49
2.02
4.97
6. 14
6.70
6.97
7.05
1.63
4.12
3.11
3.39
5.01
5.88
1.40
3.60
4.48
4.90
5. 10
5. 16
2.23
6.76
9.58
11.32
12.28
12.38
1.56
3.07
7.32
8.74
9.33
9.78
1.26
4.26
6.20
7.44
3. 14
8.36
1.09
3.75
5.49
6.61
7.23
7.43
.0989
.3488
.3668
.7343
.8393
.8750
.0702
.2566
.4193
.5444
.6231
.6500
.0574
.2133
.3494
.4541
.3201
. 5426
.0497
.1867
.3063
.3984
.4564
.4762
.5588
.4571
.4087
.3820
.3680
.3633
. 6343
.5394
.4890
.4601
. 4448
.4400
.6781
.5833
.5381
. 5084
.4924
. 4874
.7079
.6223
. 3730
.5430
.5268
.5216
.0264
. 0332
.0372
.0397
.0411
.0415
.0203
.0257
.0292
.0314
.0326
.0330
.0172
.0219
.0250
.0271
.0232
.0286
.0152
.0194
. 0223
.0242
.0253
.0257
.0333 21.6747
.0430 21.8272
.0483 21.5324
.0516 21.4577
.0534 21.4893
.0340 21.5151
.0262 17.0950
.0338 16.9810
.0334 16.6939
.0413 16.6146
.0429 16.6220
.0434 16.6338
.0224 14.6537
.0290 14.4772
.0331 14.2243
.0358 14. 1372
.0373 14. 1663
.0377 14. 1776
.0199 13.0634
.0258 12.8667
.0297 12.6403
.0321 12.5861
.0336 12.5994
.0340 12.6112
13.8718
15.6839
16.8684
17.7246
18.2479
18.4231
10.9233
12. 1958
13. 1230
13.8163
14.2421
14.3850
9 . 3630
10.4005
1 1 . 2066
11.8210
12.2001
12.3276
8.3445
9 . 247 1
9.9763
10.5392
10.8333
1 1 . 0060
ro
10
cr>
-------
PLUME VISUAL EFFECTS FOR HORIZONTAL VIEVS
PERPENDICULAR TO THE PLUME OF VHITE, GRAY, AND BLACK OBJECTS
FOR VARIOUS OBSERVER-PLUME AND OBSERVER-OBJECT DISTANCES
2230 MW COAL POWER PLANT
DOVNVIND DISTANCE (KM) = 3.0
THETA = 90.
REFLECT RP/RV0 RO/RV0 YCAP
Y DELYCAP
DELL C<550) BRATIO
DELX
DELY E(LUV) E(LAB)
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.5
.3
.3
.3
.3
.3
.3
.3
.0
. 3
.5
.3
.3
.3
.3
.3
.3
.5
.3
.3
.4
9.0
9.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.02
.02
.02
.02
.02
.02
.03
.03
.03
.03
.03
. 10
. 10
. 10
. 10
.20
.20
.20
.30
.30
.30
.02
.02
.02
.02
.02
.02
.03
.03
.05
.03
.03
. 10
. 10
. 10
. 10
.20
.20
.20
.50
.50
.80
.02
.02
.02
.02
.02
.02
.03
.03
.03
.02
.03
. 10
.20
.30
• 80
.03
. 10
.20
.30
.80
.10
.20
.30
.80
.20
.50
.30
.50
.80
.80
.02
.03
. 10
.20
.30
.80
.03
. 10
.20
.30
.80
. 10
.20
.30
.80
.20
.50
.80
.50
• tjty
.80
.02
.03
. 10
.20
.50
.80
.05
. 10
.20
86.46
80.03
70.89
57.09
36.82
30.23
84. 13
74.97
61. 13
40.90
34.32
80.78
66.99
46.71
40.13
73.68
53.41
43.32
67.99
61.41
63.40
43.88
46.53
43. 16
38.08
30.60
23. 16
50.61
47.24
42. 16
34.68
32.24
33.03
47.98
40.49
38.03
56.67
49. 19
46 . 75
61.73
59.34
63.33
11.30
13.00
13.43
19.07
24.38
26.08
17.08
19.31
23. 13
94.51
91.72
87.44
80.23
67. 17
61.89
93.31
89.39
82.49
70. 13
65.24
92.04
83.31
74.03
69.59
89.72
79.29
73.36
86.02
32.62
84.71
73.40
73.91
71.69
68. 11
62.20
60.06
76.46
74.37
71 .01
65.33
63.57
77.93
74. 83
69.83
68.09
80.01
75 . 39
74.03
82.81
81.49
83.63
40. 13
42.81
46.26
50.81
56.50
38. 13
48.40
31.32
35.26
. 3403
.3429
.3460
.3484
.3369
.3211
.3372
.3393
.3400
. 3264
.3114
.3322
.3315
.3169
.3032
.3241
.3098
. 2930
.3099
.3004
.3040
.3: .1
.3323
.3323
.3303
.3196
.3116
.3244
. 3238
.3212
.3103
.3030
.3137
.3127
.3023
.2939
.3065
.2973
. 2920
. 2998
. 2936
.2993
.2789
.2793
.2312
..2833
.2938
.3011
.2732
.2732
.2793
.3303
.3322
.3343
.3347
.3409
.3279
.3460
.3471
. 3439
. 330 1
.3174
.3398
.3372
.3207
.3090
.3304
.3147
.3046
.3170
. 3090
.3128
.3417
.3419
.3414
.3389
.3284
.3224
. 3329
. 3320
. 3287
.3180
.3122
.3234
.3198
.3093
.3044
.3141
. 303 1
. 3008
.3094
.3061
.3101
.2877
.2894
.2927
.2990
.3112
.3162
.2809
.2844
.2906
-10.93
-13.81
-17.89
-24.01
-32.89
-33.73
-9.73
-13.81
-19.93
-28.81
-31.64
-8.00
-14. 12
-23.00
-23.83
-3.42
-14.30
-17. 14
-1.72
-4.53
-.36
-2.21
-6.04
-11.30
-19.67
-31.32
-83.28
-1.96
-7.42
-13.39
-27.43
-31.20
-1.61
-9.78
-21.62
-23.38
-1.08
-12.93
-16.69
-.34
-4. 10
-. 11
6.32
1.72
-3.11
-13.33
-30. 14
-34.83
3.80
-1.03
-11.23
-4.48
-3.86
-8.03
-11.94
-19.70
-23.10
-4.06
-6.10
-9.70
-16.74
-19.75
-3.45
-6.67
-12.84
-15.40
-2.46
-7.57
-9.63
-.63
-2.37
-.23
-1 .36
-3.73
-7.18
-12.51
-20.79
-23.62
-1.18
-4.50
-9.61
- 17.46
-20. 12
-.94
-5.79
-13. 14
-15.60
-.61
-7.40
-9.63
-. 18
-2. 19
-.06
13.98
2.72
-6.22
-14.50
-22.28
-24.20
8.32
-1.16
-10.03
-.1114
-. 1468
-.2022
-.2986
-.4756
-.3424
-.1029
-.1558
- . 2478
-.4165
- . 4803
-.0896
-. 1752
- . 3323
-.3916
-.0664
-.2060
-.2387
- . 0238
- . 0670
- . 0078
- . 0402
-.1129
- . 2097
-.3413
- . 3079
-.3545
- . 0347
-. 1346
- . 2703
- . 442 1
-.4902
- . 0274
-. 1693
- . 3483
-.3985
-.0173
- . 2078
-.2611
-.0050
- . 0628
-.0015
1.3869
.1643
-.2412
- . 4402
-.3484
-.3674
.3223
-.0447
- . 3229
.8802
.7949
.6976
.6054
.6284
.7372
.9228
.8237
. 7440
.7897
.9138
.9707
.8918
.9503
.0774
.0165
.0662
. 1747
.0289
.0908
.0157
.9554
.8055
.6848
.6147
.6904
.7936
.9769
.8392
.7613
.8528
.9703
.9940
. 9053
1 . 0020
1 . 1248
1.0053
1.0831
1 . 2003
1 . 0058
1 . 086 1
1 . 0028
.5955
.6273
.6683
.7278
.8311
.8773
.7296
.7743
.8464
.0089
.0126
.0179
.0232
.0258
.0163
.0068
.0112
.0168
.0153
.0066
.0042
.0083
.0037
-.0016
.0009
-.0013
- . 0067
-.0013
- . 0044
- . 0008
.0049
.0115
.0187
.0246
.0197
.0120
.0034
.0101
.0133
.0103
.0033
.0019
.0068
.0023
- . 0037
.0006
- . 0027
- . 0077
- . 0002
- . 0040
- . 000 1
.0213
.0194
.0171
.0141
.0092
.0069
.0130
.0111
.0081
.0084 8.8663 6.7033
.0124 12.2412 9.2032
.0177 16.9029 12.7440
.024223.1389 17.7379
.0225 28.3062 23.4838
.0145 28.1509 23.0533
.0061 7.1082 5.5096
.0105 11.2767 8.6536
.0134 16.7774 13.0933
.0117 21.3894 18.3439
.0040 21.7383 20.4036
.0032 4.9345 4.0698
.0068 9.6908 7.9564
.0023 14.2538 13.2933
-.0045 15.6217 15.4562
-.0000 2.6310 2.5188
-.0037 7.6762 7.6472
-.0038 10.2432 9.9740
-.0014 1.2331 1.0566
- . 0044 3 . 8980 3 . 0637
-.0007 .6328 .4413
.0047 3.7329 2.6842
.0120 9.4788 6.9021
.0196 16.2933 12.0006
.0230 23.6124 17.9197
.0188 28.0608 23.7387
.0122 28.0033 23.2481
.0031 2.8276 2.0123
.0101 9.3323 6.9207
.0148 16.4262 12. 0799
.0*83 21.196S 13.7849
.O020 21.7766 20.6187
.0015 1.8087 1.3199
.0059 8.6421 6.9376
-.0001 14.1663 13.4301
-.0058 13.7289 13.6260
.0002 .8092 .6754
-.0046 7.4834 7.4678
-.0094 10.2914 9.9960
- . 0003 . 2257 . 2048
-.0041 3.5287 2.7970
-.0001 .1069 .0797
.0266 14.02*2 14.1424
.0246 9.2827 7.1032
.0220 16.2739 11.3820
.0184 23.5038 13.2238
.0121 27.6797 24.2384
.0094 27.8812 23.5093
.0160 8.5092 8.5959
.0137 8.3526 3.4463
.0099 13.6870 12.2302
-------
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.03
.03
. 10
. 10
. 10
. 10
.20
.20
.20
.30
.30
.80
.30
.80
.10
.20
.30
.80
.20
.30
.80
.30
.80
.80
28.46
30.17
23.32
28.97
34.28
33.98
37.66
42.97
44.67
53.56
57.26
61.2o
60.34
61.83
37.42
60.78
63.21
66.53
67.80
71.56
72.70
79.33
80.33
82.33
.2890
.2937
.2721
.2758
.2840
.2880
.2758
.2823
.2836
.2881
.2906
.2949
.3020
.3065
.2802
.2833
.2933
.2994
.2836
.2933
.2967
.3005
.3029
.3072
-26.03
-30.73
4.78
-3.44
-20.24
-24.93
3.26
-11.55
-16.24
1.04
-3.65
.34
-18.44
-20.32
4.94
-4.53
-13.57
-15.82
2.48
-7.22
-9.65
.60
-2.00
. 18
-.4743
- . 5008
.2358
-.1356
-.3685
- . 4059
.0951
-.2100
-.2636
.0186
-.0583
.0052
.9856
1.0314
.8268
.9179
1. 1012
1. 1898
.9026
1 . 1246
1 . 2337
.9680
1.0801
.9872
.0024
- . 0005
.0080
.0044
- . 0026
-.0062
.0045
- . 0043
- . 0087
.0015
- . 0036
.0006
.0029 21.00"67
-.0002 21.8058
.0095 5.4382
.0049 7.6079
-.0037 14.1561
-.0073 15.8746
.0030 3.2291
-.0036 7.2920
-.0100 10.3486
.0014 1.1681
-.0038 3.1339
.0005 .4638
19 . 2304
20.8799
5 . 289 1
3.7173
13.6943
13.8262
2.8370
7.2863
10.0251
.8332
2.3162
.3092
ro
10
CD
-------
DOVNV1ND DISTANCE (KM) »
PLUME ALTITUDE CM)
SIGMA Y (M>
SIGMA Z (M) =
SO2-SO4 CONVERSION RATE*
NOX-NO3 CONVERSION RATE=
CONCENTRATIONS OF AEROSOL AND GASES CONTRIBUTED BY
2230 MW COAL POVER PLANT
> 10.0
= 439.
' 413.
: 80.
.3000 PERCENT/HR
0.0000 PERCENT/HR
ALTITUDE
H+2S
INCREMENT:
TOTAL AMB:
H+1S
INCREMENT:
TOTAL AMB:
H
INCREMENT:
TOTAL AMB:
H-1S
INCREMENT:
TOTAL AMB:
H-2S
INCREMENT:
TOTAL AMB:
0
INCREMENT:
TOTAL AMB:
NOX
< PPM I
116
116
.322
.522
.861
.861
.322
.322
116
116
.000
.000
NO2
(PPM)
.038
.033
.069
.069
. 103
. 103
.069
.069
.038
.038
.000
.000
NO3-
(UG/M3)
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
N02/NTO"
(MOLE %)
32.663
32.663
13.303
13.303
12.187
12. i X?
13.303
13.303
32.663
32.663
0.000
73 . 077
NO3-/NTOT
(MOLE %)
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
SO2
(PPM>
.143
. 143
.642
.642
1.058
1.058
.642
.642
143
143
.000
.000
SO4* SO4=/STOT
(UG/M3) (MOLE %)
1.384
3.129
6.203
7.947
10.227
11.971
6.203
7.947
1.384
3.129
.000
1.743
.246
.353
.246
.314
.246
.287
.246
.314
.246
.333
.246
99.853
O3
(PPM)
.034
.006
PRIMARY BSP-TOTAL
(UC/M3) (10-4 M-l)
.038
.002
.034
.006
.000
.040
4.689
36.434
.174
.376
21.016
32.760
4.689
36.434
.000
31.745
.781
.983
. 174
.376
.000
.202
BSPSN/BSP
(TO
46.132
48.331
038
002
038
002
21.016
52.760
34.649
66.393
.781
.983
1.288
1.490
46. 132
46.981
46 . 132
46 . 692
PO
10
vo
46.132
46.981
46. 132
48.331
46. 132
50.270
CUMULATIVE SURFACE DEPOSITION (MOLE FRACTION OF INITIAL FLUX)
8O2: .0000
NOX: .0000
PRIMARY PARTICIPATE: .0000
SO4: .0000
NO3: 0.0000
-------
VISUAL EFFECTS FOR HORIZONTAL SIGHT PATHS
2250 MW COAL POVER PLANT
DOVNVIND DISTANCE (KM) = 10.0
PLUME ALTITUDE .
90.
90.
90.
.02
.05
. 10
.20
.50
.80
.02
.05
. 10
.20
.50
.80
.02
.05
. 10
.20
.50
.80
.02
.05
. 10
.20
.50
.80
121.4
121.1
120.5
119.8
118.8
118.4
124.0
123.8
123.4
122.8
122. 1
121.8
123.1
124.9
124.6
124.2
123.3
123.3
125.8
125.6
123.4
125.0
124.4
124.2
6.60
6.88
7.27
7.84
8.63
8.90
4.60
4.81
5.09
5.51
6. 11
6.29
3.74
3.90
4.14
4.49
4.98
5. 13
3.22
3.37
3.57
3.88
4.31
4.44
5T.91
38.63
39.65
61. 15
63.22
63.83
39.48
60.02
60.78
61.90
63.45
63.90
60.23
60.69
61.33
62.26
63.36
63.94
60.70
61.10
61.66
62.49
63.63
63.96
80.70
81.11
81.67
82.48
83.57
83.89
81.57
81.86
82.23
82.33
83.69
83.93
81.98
82.23
82.37
83.07
83.73
83.95
82 . 23
82.45
82.75
83. 19
83.79
83.96
.3201
.3162
.3115
.3058
.3007
.3001
.3150
.3122
.3087
. 3045
.3006
.3001
.3123
.3102
.3073
.3038
.3005
.3001
.3110
.3090
.3063
.3034
.3005
.3001
.3336
.3286
.3226
.3159
.3110
.3108
.3282
. 3245
.3200
.3150
.3111
.3109
.3233
.3224
.3187
.3144
.3111
.3109
.3238
.3211
.3179
.3141
.3111
.3109
-6.21
-3.49
-4.47
-2.97
-.90
-.29
-4.64
-4. 10
-3.34
-2.22
-.67
-.22
-3.89
-3.43
-2.79
-1.83
-.36
-. 18
-3.42
-3.02
-2 . 45
-1.63
-.49
-.16
DELL C<550> BRATIO
DELX
DELY E(LUV) E(LAB)
3
2
2
1
-
-
2
2
1
I
-
-
2
1
1
-
-
-
1
1
1
-
-
-
.34
.94
.38
.57
.47
.15
.47
. 18
.76
. 16
.35
. 11
.06
.82
.47
.97
.29
.09
.81
.59
.29
.85
.26
.08
-.0902
- . 0803
-.0661
- . 0449
-.0142
- . 0047
- . 0670
-.0396
- . 049 1
- . 0333
-.0106
- . 0033
-.0359
-.0498
-.0410
- . 0278
-.0088
- . 0029
- . 049 1
- . 0437
-.0360
- . 0244
- . 0077
- . 0026
.7098
.7734
.0504
.9339
.9965
1 . 0002
.7724
.8221
.8823
.9493
.9971
1 . 000 1
.8032
.8476
.8991
.9564
.9974
1 . 000 1
.8264
.8642
.9100
.9611
.9977
1 . 0000
.0200
.0162
.0114
.0058
.0007
. 0000
.0149
.0121
.0086
.0044
.0005
.0000
.0124
.0102
.0073
.0038
. ooe-5
. 0000
.0109
.0089
.0064
. 0033
.0004
.0000
.0226
.0173
.0116
.0049
- . 0000
- . 0003
.0171
.0135
.0090
.0039
. 0000
- . 0002
.0144
.0114
.0076
.0034
.0000
- . 0002
.0127
.0101
.0068
.003©
.0000
- . 0O0 1
18.
14.
10.
5.
B
f
14.
11.
8.
4.
,
.
11.
9.
6.
3.
.
,
10.
8.
6.
3.
,
.
4809
9503
5451
3070
7956
2332
1361
4311
1403
1236
6106
1758
9334
7267
9136
5133
3178
1464
5708
6116
1303
1217
4390
1282
12.
9.
6.
3.
4
,
9.
7.
5.
2.
.
.
7.
6.
4.
2.
.
,
6.
5.
3.
1.
.
.
0317
6552
7300
3624
6062
2099
1730
3902 u>
1857 g
6061
4562
1549
7381
2506
4001
2182
3835
1289
8329
3283
8994
9697
3381
1129
-------
VISUAL EFFECTS FOR NON-HORIZONTAL CLEAR SKY VIEWS THROUGH PLUME CENTER
2250 MV COAL POWER PLANT
DOVNWIND DISTANCE (KM)
PLUME ALTITUDE
-------
PLUME VISUAL EFFECTS FOR HORIZOHTTAL VIEWS
PERPENDICULAR TO THE PLUME OF VH1TE, CRAY, AM) BLACK OBJECTS
FOR VARIOUS OBSERVER-PLUME AND OBSERVER-OBJECT DISTANCES
2230 MV COAL POWER PLAHT
UOVtrWtlfD DISTANCE (KM> • 10.0
THETA • • 90.
REFLECT RP/RV0 RO/RV0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.3
.0
.3
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.02
.02
.02
.02
.02
.02
.03
.03
.03
.03
.00
. 10
. 10
. 10
. 10
.20
.20
.20
.30
.30
.80
.02
.02
.02
.02
.02
.02
.03
.03
.03
.00
.03
. 10
. 10
. 10
. 10
.20
.20
.20
.30
.30
.80
.02
.02
.02
.02
.02
.02
.03
.03
.03
.02
.03
.10
.20
.30
.30
.03
. 10
.20
.50
.80
. 10
.20
.00
.80
.20
.30
.80
.30
.80
.80
.02
.03
.10
.20
.30
• o?9
.03
.10
.29
.30
.80
.10
.20
.30
.80
.20
.50
.80
.30
.80
.80
.02
.00
. 10
.20
.50
.80
.03
. 10
.20
YCAP
86.29
79.88
70.72
36.92
36.62
30.02
83.99
74.83
61.02
40.72
34. 13
80.63
66.87
46.57
39.98
73.62
33.32
48.72
67.98
61.39
63.40
48.68
46 . 33
42.96
37.88
30.39
27.94
30.44
47.07
41.99
34.49
32.03
52.91
47.83
40.34
37.89
36.58
49.09
46.64
61.73
39.31
63.32
11.07
12.77
13.20
18.84
24. 16
23.86
16.88
19.31
22.93
L
94.44
91.64
87.36
80. 15
67.02
61.70
93.43
89.32
82.41
70.01
63.09
91.99
85 . 45
73.94
69 . 48
89.69
79.24
73.30
86.O1
82.60
84.70
73.23
73. 78
71.oo
67.96
62.02
39.87
76.36
74.26
70.89
60.33
63.41
77. £14
74.74
69.74
67.97
79.96
73.53
73. 9S
82.80
81.43
83.63
39 . 75
42.46
43.95
30.54
36.23
37.94
43. 15
31.08
33.05
X
.3423
.3447
. 3476
. 3498
. 3379
.3217
.3387
.3407
.3412
•' .3271
.3118
.3334
. 3323
.3173
.3034
.3249
.3101
.2981
.3101
.3004
.3040
. 3334
.3337
. 3336
.3313
.3203
.3122
.3234
.3247
.3219
.3107
. 3033
.3163
.3132
.3025
.2960
.3068
.2974
.2920
.2999
.2956
.2995
.2763
.2780
.2803
.2831
.2960
.3014
.2719
.2744
.2791
Y DELYCAP
.3319
.3337
.3536
.3338
.3416
.3283
. 3473
.3482
.3467
. 3305
.3177
. 3407
. 3379
.3209
. 309 1
. 3309
.3148
.3046
.3170
.3090
.3128
. 3429
.3429
. 3424
.3397
.3290
.3229
.3338
.3327
.3292
.3183
.3123
.3238
.3201
.3096
.3043
.3143
.3031
.3008
.3094
.3060
.3101
.2857
.2881
.2920
.2989
.3116
.3166
.2796
.2836
.2903
-11. 11
-13.98
-18.06
-24. 19
-33.09
-33.94
-9.87
-13.96
-20.08
-28.99
-31.83
-8.11
-14.23
-23.14
-23.98
-3.49
-14.39
-17.24
-1.73
-4.37
-.56
-2.41
-6.24
- 1 1 . 70
-19.88
-31.73
-33 . 49
-2.14
-7.60
-15.77
-27.62
-31.39
-1.75
-9.92
-21.77
-23.34
-1. 17
-13.03
-16.79
-.36
-4. 13
-. 11
6.29
1.49
-3 . 34
- 13 . 36
-30.36
-33.05
5.60
-1.23
- 1 1 . 46
DELL
-4.33
-3.94
-8. 13
-12.03
-19.83
-23 . 29
-4. 13
-6. 17
-9.78
-16.86
-19.90
-3.50
-6.73
-12.93
-15.51
-2.49
-7.62
-9.69
-.86
-2.39
-.29
-1.48
-3.86
-7.31
-12.66
-20.97
-23.82
-1.28
-4.61
-9.73
-17.61
-20.27
'-1.02
-5 . 88
-13.23
-15.72
-.66
-7.46
-9.70
-. 19
-2.21
-.06
13.60
2.37
-6.53
-14.77
-22.50
-24.41
8.06
-1.40
-10.26
C<330)
-.1134
-.1438
- . 2045
-.3012
-.4783
-.5439
- . 1047
-.1378
-.2300
-.4194
- . 4833
-.0911
- . 1770
- . 3346
-.3941
-.0673
- . 2076
-.2604
-.0242
- . 0675
- . 0079
- . 0444
-. 1170
-.2137
-.3433
-.3113
-.3381
-.0383
-.1381
-.2739
- . 4434
-.4934
-.0303
-.1720
-.3510
- . 40 1 1
-.0194
- . 2096
-.2629
-.0053
- . 0634
-.0017
1 . 3372
.1433
-.2526
- . 4469
-.5526
-.5711
.3037
-.0549
-.3289
BRATIO
.8363
.7747
.6819
.5948
.6226
.7336
.9032
.8133
.7340
.7851
.9119
.9562
.3325
.9468
.0770
.0080
.0634
. 1747
.0262
.0901
.0143
.9398
.7934
.6759
.6086
.6872
.7921
.9660
.8315
.7567
.8514
.9709
.9875
.9018
.0019
. 1267
.0023
.0883
.2023
.0052
.0863
.0026
.6287
.6545
.6886
.7404
.8337
.8797
.7546
.7940
.8398
DELX
.0106
.0143
.0193
.0266
.0268
.0170
.0084
.0126
.0180
.0160
.0071
.0054
.0093
.0062
-.0014
.0017
-.0011
-.0067
-.0011
- . 0043
- . 0007
.0062
.0127
.0198
.0256
.0203
.0125
.0044
.0110
.0160
.0107
.0036
.0026
.0073
.0025
- . 0036
.0009
- . 0026
- . 0076
-.0001
- . 0€»40
-.0001
.0192
.0173
.0161
.0138
.0094
.0072
.0118
.0102
.0077
DELY E( LUV) E( LAB)
.0100 10.1826 7.4833
.0138 13.460" 9.9471
.0191 17. 9871 13.41O1
.023323.9911 18.2657
.0233 28.8033 23.8033
.0130 28.5294 25.3214
.0074 8.1852 6.1149
.0117 12.2233 9.1973
.0163 17.4916 13.5066
.0122 21.7471 18.7704
.0043 22.0397 20.3^39
.0041 5.6802 4.4473
.0074 10.2390 8.2400
.0025 14.4675 13.4263
-.0044 15.7561 15.5712
.0005 2.8911 2.6273
-.0036 7.7398 7.7010
-.0088 10.2895 10.0309
-.0014 1.2184 1.0361
-.0044 3.8898 3.0707
-.0007 .6045 .4309
.0039 4.6170 3.2478
.0131 10.2743 7.4202
.0206 17.0€>37 12.4621
.0259 24.1965 13.3028
.0194 28.4704 24.0259
.0127 28.3558 25.5119
.0039 3.3014 2.4314
.0108 9.9390 7.2772
.0154 16.8767 12.9613
.0087 21.47-J2 18.9838
.0023 22.0099 20.8041
. 0020 2 . 26 27 1.3 849
.0062 8.9591 7.1250
.0000 14.3316 13.5565
-.0057 15.8588 13.7450
.0004 1.0182 .7887
-.0045 7.5487 7.5309
-.0094 10.3480 10.0602
-.0003 .2340 .2190
-.0042 3.5437 2.8144
-.0001 .1068 .OG31
.0246 13.6864 13.7102
.0232 8.7253 6.6686
.0213 16. 1583 11.4119
.0183 23.6643 18. 4387
.0125 28.0012 24.5081
.0099 28.2103 25.7725
.0148 8.1739 8.2707
.0129 8.0747 5.3031
.0096 15.7473 12.3094
CO
o
ro
-------
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.03
.03
. 10
. 10
. 10
. 10
.20
.20
.20
..50
.30
.80
.30
.80
. 10
.20
.30
.80
.20
.30
.80
.50
.80
.80
28.26
29.97
23.13
28.80
34.11
33.81
37.54
42.86
44.36
35.52
57.23
61.24
60.16
61.66
37.26
60.63
63.08
66.41
67.71
71.48
72.63
79.36
80.32
82.32
.2890
.2938
.2714
.2734
.2839
.2880
.2733
.2822
.20)3
.2880
.2903
.2948
.3021
.3067
.2793
.2832
.2934
.2994
. 2833
.2934
.2966
.3003
.3029
.3072
-26 . 26
-30.93
4.61
-3.61
-20.41
-23 . 10
3. 14
-11.66
-16.33
1.00
-3.69
.33
-18.63
-20.69
4.78
-4.68
-13.70
-13.94
2.40
-7.30
-9.72
.58
-2.02
. 18
-.4780
-.3041
.2273
-.1606
-.3716
-.4086
.0917
-.2121
-.2655
.0179
- . 0589
.0050
.9922
1.05110
.8431
.9301
1. 1083
1. 1954
.9113
1. 1303
1.2384
.9703
1.0821
.9882
.0024
- . 0004
.0073
.0040
-.0027
- . 0062
.0041
- . 0044
- . 0087
.0014
- . 0037
.0006
.0030 21.2233
.0000 22.0233
.0088 3.1330
.0045 7.5638
-.0037 14.2883
-.0073 16.0042
.0047 3.0339
-.0037 7.3702
-.0101 10.4197
.0014 1.1021
-.0038 3.1721
.0003 .4391
19.4233
21.0683
3.0623
3.7762
13.8259
15.9515
2.7232
7.3647
10.0977
.8121
2.5437
.2942
CO
o
to
-------
304
EXAMPLE 2: OUTPUT FOR
A PLUME FROM A
COPPER SMELTER
-------
VISUAL IMPACT ASSESSMENT FOR COPPER SMELTER (*2>
POWER PLANT DATA
ELEVATION OF SITE
0.
0.
FEET MSL
METERS MSL
NO. OF UNITS =
STACK HEIGHT =
«00.
183.
FLUE GAS FLOW RATE =
FLUE GAS TEMPERATURE =
FEET
METERS
1162144.
548.39
CU FTXMIN
CU M/SEC
FLUE GAS OXYGEN CONTENT '
SO2 EMISSION RATE (TOTAL) =
400. F
4T8. K
2.0 MOL PERCENT
1180.82 TONSXDAY
1.240E+04 G/SEC
OJ
O
en
NOX EMISSION RATE (TOTAL,AS NO2) =
PARTICULATE EMISSION RATE (TOTAL)
1.00 TONS/DAY
1.030E+01 G/SEC
I.00 TONSXDAY
1.030E+01 G/SEC
-------
METEOROLOGICAL ABB AMBIENT AIR ttUALITY DATA
VINDSPEED » 11.2 MILES/HR
3.0 M/SEC
PASaUlLL-GIFFORD-TURNER STABILITY CATEGORY D
LAPSE RATE = 0.00 F/1000 FT
0. K/M
POTENTIAL TEMPERATURE LAPSE RATE =
SOLAR ZENITH ANGLE = 43.0 DEGREES
AMBIENT TEMPERATURE = 77.0 F
298.2 K
RELATIVE HUMIDITY = 40.0 7,
MIXING DEPTH = 2000. M
AMBIENT PRESSURE = 1.00 ATM
SO2 TO SO4 CONVERSION RATE =
NOX TO rroa CONVERSION RATE =
BACKGROUND NOX CONCENTRATION =
BACKGROUND NO2 CONCENTRATION =
BACKGROUND OZONE CONCENTRATION =
BACKGROUND SO2 CONCENTRATION *
BACKGROUND COARSE MODE CONCENTRATION =
BACKGROUND SULFATE CONCENTRATION =
9.800E-03 KXM
.300 PERCENT/HR
0.000 PERCENT/HR
0.000 PPM
0.000 PPM
.040 PPM
0.000 PPM
30.0 UG/M3
1.7 UG/N3
oo
o
BACKGROUND NITRATE CONCENTRATION = 0.0 UG/M3
BACKGROUND VISUAL RANGE = 130.0 KILOMETERS
SO2 DEPOSITION VELOCITY = 1.00 ' CM/SEC
NOX DEPOSITION VELOCITY = 1.00 CM/SEC
COARSE PARTICULATE DEPOSITION VELOCITY = .10 CM/SEC
SUBMICRON PARTICULATE DEPOSITION VEI-OCITY = .10 CM/SEC
-------
CONCENTRATIONS OF AEROSOL AND GASES coirniiBtrrED BY
COPPER SMELTER (*2)
DOWNWIND DISTAITCE (KM)
PLUME ALTITUDE ( M)
SIGMA Y (M>
SIGMA Z (M)
- 20.0
* 412.
* 1017.
a 200.
SO2-SO4 CONVERSION RATE*
NOX-NO3 CONVERSION RATE= 0.
ALTITUDE
H+2S
INCREMENT:
TOTAL AMB:
H+1S
INCREMENT:
TOTAL AMB:
H
INCREMENT:
TOTAL AMB:
H-1S
INCREMENT:
TOTAL AMB:
H-2S
INCREMENT:
TOTAL AMB:
0
INCREMENT:
TOTAL AMB:
NOX
(PPM)
.000
.000
.001
.001
.001
.001
.001
.001
.000
.000
.000
.000
NO2
(PPM)
.000
.000
.000
.000
.001
.001
.000
.000
.000
.000
.000
.000
,5000 PERCENT/HR
,0000 PERCENT/HR
N03-
(UG/M3)
0.000
0 . 000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
N02/NTOT
(MOLE %)
0.000
75 . 033
0.000
74.890
74.621
74.768
0.000
74.888
0.000
75 . 003
0.000
73 . 003
rrO3-/ITTOT
(MOLE %)
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
SO2
( PPPI)
. 100
. 100
.447
.447
.736
.736
.452
.452
. 178
. 178
. 177
. 177
S04=
(UG/N3)
2.057
3.802
9.221
10.966
13 . 206
16.951
9.338
1 1 . 0&3
3.668
5.413
3.647
5.392
SO4=/STOT
(MOLE %)
. 322
.963
.522
.622
.522
.583
.522
.620
.522
.770
.522
.772
03
( PPN)
-.000
.040
-.000
.040
-.001
.039
-.000
.040
-.000
.040
- . 000
.040
PRIMARY
(UG/M3) (
.222
31.967
.997
32 . 74 1
1 . 644
33 . 36.8
1.009
32.734
.396
32. 141
.394
32. 139
BSP- TOTAL
10-4 N-l>
. 124
.326
.556
.737
.917
1 . 1 13
. 363
.763
.221
.423
.22®
.422
BSPSN/BSP
(%)
96 . 409
67.839
96.409
84. 124
96.409
88 . 087 Q
^j
96.409
84 . 238
96 . 409
74.399
96 . 409
74.334
CUMULATIVE SURFACE DEPOSITION (MOLE FRACTION OF INITIAL FLUX)
SO2: .0020
VOX: .0020
PRIMARY PART1CULATE: .0002
S04: .0000
N03: 0.0000
-------
VISUAL EFFECTS FOR HORIZOHTAL SIGHT PATHS
COPPER SMELTER <*2)
DISTANCE (ran = 20.0
PLUME ALTITUDE BRATtO DELX DELY E(LUV> E(LAB)
90.
30.
30.
30.
30.
30.
30.
45.
43.
43.
43.
43.
43.
60.
60.
60.
60.
60.
60.
90.
90.
90.
90.
90.
90.
02
03
10
20
30
80
02
03
10
20
50
80
02
03
10
20
30
80
02
05
10
20
50
80
117.4
113.4
115.2
115.0
114.6
114.3
120.4
119.7
119.6
119.4
119.1
119.0
121.7
121.6
121.5
121.4
121.1
121.1
122.8
122.8
122.7
122.5
122.3
122.3
9.71
11.22
11.36
11.55
11.84
11.92
7.42
7.90
8.00
a. 13
8.36
8.43
6.38
6.44
6.52
6 .65
6.83
6.83
5.52
5.57
5.64
3.75
5.91
5.96
62.34
62.31
62.63
63.11
63.79
63.99
62.66
62.73
63.00
63.36
63.87
64.03
62.82
62.97
63. 18
63.48
63.91
64.04
62.98
63. 11
63.29
63.36
63.93
64.03
83.11
83.09
83.26
83.52
83.87
83.98
83.28
83.33
83.46
83.65
83.91
83.99
83.36
83.44
83.55
83.71
83.93
84.00
83.43
83.51
83.61
83.73
83.93
84.01
.3026
.3025
.3017
.3008
.3000
.3000
.3022
.3019
.3013
.3006
.3000
.3000
.3020
.3016
.3011
.3006
.3001
.3000
.3018
.3014
.3010
.3003
.3001
.3000
.3131
.3128
.3121
.3112
.3108
.3109
.3128
.3125
.3119
.78
.81
.49
.01
.33
.12
.46
.37
.12
.3112 -.76
.3109 -.25
.3109 -.09
.3127 -1.30
.3123 -1.13
.3118 -.94
.3112 -.64
.3109 -.21
.3110 -.08
.3125 -1.14
.3121 -1.01
.3117 -.83
.3112 -.56
.3109 -.18
.3110 -.07
-.93
-.95
-.78
-.53
-. 17
-.06
-.76
-.72
-.39
-.40
-. 13
-.03
-.68
-.60
-.49
-.33
-. 11
-.04
-.60
-.53
-.43
-.29
-. 10
-.04
-.0283
-.0291
- . 02+0
-.0164
-.0053
- . 002 1
- . 0233
-.0219
-.0181
-.0124
-.0041
-.0016
- . 0207
- . 0 1 84
-.0152
-.0104
- . 0035
-.0013
-.0182
-.0162
-.0134
- . 0092
- . 003 1
-.0012
.9347
.9386
.9724
.9877
.9983
.9987
.9613
. 9678
.9786
.9904
.9987
.9991
.9631
.9726
.9817
.9918
.9989
.9992
.9690
.9737
.9838
.9927
.9990
.9993
.0026
.0024
.0017
. 0008
- . 0000
- . 000 1
.0022
.0019
.0013
.0006
. 00O0
- . 0000
.0019
.0016
. 00 1 1
.0005
.0000
- . 0000
.0017
.0014
.0010
. 0005
.0000
- . 0000
.0020
.0018
.0010
.0002
- . 0003
- . 0002
.0018
.0014
.0008
.0001
- . 0002
- . 000 1
.0016
.0012
.0007
.0001
- . 0002
- . 000 1
.0014
.0011
.0006
. 000 1
- . 000 1
- . 000 1
2.4982
2.3337
1.6740
.8316
.2516
. 1211
2. 1085
1.8151
1.2922
.6782
. 1839
. 0908
1.8941
1 .5412
1 . 0973
. 37-53
. 1333
. 0762
1.6791
1 . 3666
. 9733
..-fi99
. 13'}.}
. 0670
1.6310
1.3538
1. 1391
.66*4.
. 223 1
. 1019
1 . 3708
1. 1927
.8729
.3026 to
. 16'** §
. €»7t6
1 .229 3
1 .0107
.7392
. 4243
. 1417
.0643
1.0837
. 89.) 1
.6344
.3730
. 1247
.0566
-------
DOVNVIND DISTANCE (KM) »
PLUME ALTITUDE (M) -
SIGMA Y (M) =
SIGMA Z (M)
SO2-SO4 CONVERSION RATE8
NOX-NO3 CONVERSION RATE=
CONCENTRATIONS OF AEROSOL AND GASES CONTRIBUTED BY
COPPER SMELTER (*2)
' 40.0
= 412.
= 1837.
288.
.3000 PERCENT/HR
0.0000 PERCENT/RH
ALTITUDE
H+2S
INCREMENT:
TOTAL AMB:
H+1S
INCREMENT:
TOTAL AMB:
H
'INCREMENT:
TOTAL AMB:
H-1S
INCREMENT:
TOTAL AMB:
H-2S
INCREMENT:
TOTAL AMB:
0
INCREMENT:
TOTAL AMB:
NOX
(PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
N02
(PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
NO3-
(UG/M3)
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
NO2/NTOT NO3-/NTOT
(MOLE SO (MOLE %)
0.000
73 . 06 1
0.000
73 . 007
0.000
74.960
0.000
74 ttff
0.000
74.994
0.000
74.994
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
SO2
(PPM)
.037
.037
. 167
. 167
.279
.279
.215
.215
. 197
. 197
. 197
. 197
SO4= SO4'/STOT
(UGXM3) (MOLE ?5)
1.603
8.330
7.200
8.943
12.037
13.802
9.289
1 1 . 034
8.321
10.265
8.521
10.265
1.070
2.247
1.070
1.350
1.070
1.243
1.070
1.292
1.070
1.310
1.070
1.310
O3
( PPM)
-.000
.040
-.000
.040
-.000
.040
-.000
.040
-.000
.040
-.000
.040
PRIMARY BSP-TOTAL
(UG/M3) (10-4 M-l)
.083
31.829
.379
32. 124
.635
32.380
.489
32.234
.449
32. 193
.449
32. 193
.095
.297
.426
.623
.713
.915
.550
.731
.304
.7'0<3
.504
.706
BSPSN-fBi
(%)
98.217
65.620
98.217
82.812
90.217
87.650
98.217
85 . 346
98.217
84.517
90.217
84.517
CUMULATIVE SURFACE DEPOSITION (MOLE FRACTION OF INITIAL FLUX)
SO2: .0179
NOX: .0180
PRIMARY PARTICULATE: .0018
SO4: .0000
NO3: 0.0000
-------
VISUAL EFFECTS FOR HORIZONTAL SIGHT PATHS
COPPER SMELTER <*2>
DOWVIND DISTANCE (KN) » 40.0
PLUME ALTITUDE 08
- . 0000
- . 0000
.0021
.0020
.0014
.0007
.0000
- . 0000
. 0020
.0018
.0013
. 0006
. 0000
- . 0000
.0019
.0019
.0011
. 000 1
- . 0004
- . 0002
. OO 1 8
.00 17
. 0009
.0001
- .0003
- . 0002
.0017
.0015
.0008
.0001
- . 0002
- . 000 1
.0016
.00»:i
. oooy
. 000 1
- . 0002
- . 000 1
2.3304
2.6702
2.0606
1.0954
.3230
. 1363
2.273-1
2. . 3€> 1 5
1.6408
.8680
.2496
. 1199
2.0602
1 . 9839
1.4146
. 7469
.2116
. 1016
1 . 'J127
1.T753
1.2661
.6*77
. l£>75
.0900
1.6630
1.7756
1.4136
.asis
.2898
. 1311
1 . 434.2
1.51 77
1. 1149
.64V4
.2226
. 1009 oo
i . 340ar?
1 . 3044
.9371
.3350
. 1887
.6856
1 . 24^-3
1. 16>2
.634o
. 4942
. 1671
.07o 9
-------
CONCENTRATIONS OF AEROSOL ABB CASES CONTRIBUTED BY
COPPER SMELTER (*2)
PLUME ALTITUDE (PD
SIGMA Y (Ml
SIGMA Z (M)
ALTITUDE
H+2S
INCREMENT:
TOTAL AMB:
H+1S
INCREMENT:
TOTAL AMB:
H
INCREMENT:
TOTAL
H-1S _
INCREMENT:
TOTAL AMB:
H-2S
INCREMENT:
TOTAL AMB:
0
INCREMENT:
TOTAL AMB:
CE (KM) « 60.0
(PD = 412.
* 2622.
= 333.
H ON RATE= .3000 PERCENT/HR
II ON RATE* 0.0000 PERCENTXHR
NOX
(PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
NO2
( PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
'ACE DEPOSITION
S02:
NOX:
ILATE:
S04:
N03:
.0420
.0424
.0043
.0000
0.0000
N03-
(UG/M3)
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
NO2/NTOT NO3-XNTOT SO2
(PIOLE %) (MOLE %) (PPMt
0.000 0
73.068 0
0.000 0
75 . 037 0
0.000 0
75 . 008 0
0.000 0
73.011 0
0.000 0
73.011 0
0.000 0
73.011 0
. 000 . 02 1
. 000 . 02 1
. 000 . 094
. 000 . 094
.000 . 164
.000 . 164
.000 . 156
.000 . 136
.000 . 156
.000 . 156
.000 . 136
.000 . 156
SO4= SO4*/STOT O3
(UGXPB) (MOLE %) (PPM)
1.391
3.136
6.271
8.016
10.932
12.69.7
10.466
12.210
10.415
12.160
10.415
12. 160
1.607 -.000
3.703 .040
1 . 607 - . 000
2.134 ( .040
1 . 607 - . 000
1.939 .040
1.607 -.000
1.932 .040
1 . 607 - . 000
1.953 .040
1 . 607 - . 000
1.953 ° .040
PRIMARY BSP- TOTAL BSPSN/BSP
(UG/PKJ) (10-4 PI- It (%)
.049
31.793
.219
31.964
.383
32. 128
.366
32. Ill
.364
32. 109
.364
32. 109
.082 98.809
.203 64.279
.369 98.809
.57$ 81.630
.644 98.809
.846 87.235 w
_j
^ j
.613 98.809
.817 86.829
.613 98.809
.814 86.786
.613 98.809
.814 86.786
(PIOLE FRACTION OF INITIAL FLUX)
-------
VISUAL EF'FEO'lTit FOR HORIZONTAL SIGHT PATHS
COPPER SHELTER <*2>
DOWNVIITD DISTANCE <»D = 60.0
PLUNE ALTITUDE (FD = 412.
SIGHT PATH IS THROUGH PLUME CENTER
THETA ALPHA RP/RV0
90.
30.
30.
30.
30.
30.
30.
45.
43.
43.
43.
43.
43.
60.
60.
60.
60.
60.
60.
90.
90.
90.
90.
90.
90.
RV 55REDUCED
YCAP
Y DELYCAP
DELL C(330) BRATIO
DELX
DELY E(LUV) E(LAB>
02
03
10
20
30
80
02
03
10
20
30
80
02
03
10
20
00
80
02
03
10
20
30
80
112.0
106.8
103.1
102.7
102.1
104.0
116.2
112.4
111.0
110.7
110.3
110.2
118.0
114.8
114.6
114.3
113.9
113.8
119.1
116.8
116.6
116.4
116.1
116.0
13.83
17.82
20.73
21.03
21.43
20.00
10.63
13.57
14.38
14.82
15. 13
13.23
9.21
11.70
11.83
12.08
12.36
12.45
8.37
10. 13
10.27
10.45
10.70
10.78
«2.10
61.86
61.92
62.63
63.63
63.93
62.37
62. 13
62.38
62.94
63.73
63.97
62.32
62.31
62.63
63.11
63.79
63.99
62.62
62.30
62.79
63.22
63.82
64.01
82.98
82.83
82.89
83.26
83.79
83.93
83. 13
83.01
83. 13
83.43
83.84
83.97
83.21
83.09
83.26
83.52
83.87
83.98
83.26
83. 19
83.33
83.57
83.89
83.98
.3027
.3028
.3024
.3011
.3000
.3000
.3023
.3026
.3020
.3009
.3000
.3000
. 3023
. 3025
.3017
.3008
.3000
.3000
.3022
.3022
.3016
. 3008
.3000
. 3000
.3129 -2.02
.3128 -2.26
.3122 -2.20
.3111 -1.49
.3106 -.49
.3108 -.18
.3128
.3128
.3121
.3112
.3107
.3109
.3128
.3128
.3120
.3112
.3103
.3109
.3127
.3126
.3119
.74
.97
.73
.17
.38
.14
.39
.81
.49
.01
.33
. 12
.50
.62
.33
.3112 -.90
.3108 -.29
.3109 -.11
-1.06
-1.19
-1.13
-.78
-.23
-.10
-.91
-1.03
-.91
-.61
-.20
-.08
-.84
-.95
-.78
-.53
r. 17
-.06
-.78
-.83
-.70
-.47
-. 15
-.06
-.0326
- . 0366
-.0357
- . 0244
-.0082
- . 0032
-.0281
-.0318
- . 0282
-.0193
-.0065
- . 0023
-.0256
- . 029 1
- . 0242
-.0166
- . 0056
- . 002 1
- . 0240
- . 026 1
-.0216
- . 0 1 48
-.0050
-.0019
.9331
.9541
.9613
.9826
.9972
.9979
.9381
.9563
.9682
.9836
.9978
.9984
.9604
.9586
.9721
.9874
.9981
.9986
. 9620
. 9623
.9748
.9886
. 9983
.9988
.0026
.0027
.0023
.0010
- . 0000
-.0001
. 0024
. 0025
.0019
.0009
- . 0000
-.0001
.0023
.0024
.0017
. 0008
- . 0000
- . OOO 1
.0022
. 0022
. 00 1 5
.0007
.0000
- . 0000
.0018
.0017
.0012
.0001
- . 0004
- . 0003
.0018
.0017
.0010
.0001
- . 0003
- . 0002
.0017
.0017
.001*3
. 000 1
- . 0003
- . 0002
.0017
. 00 1 6
.0O09
.0001
- . 0003
- . 0002
2.3302
2.6744
2.3434
1.2342
.3829
. 1841
2.0321
2 . 4789.
1.9170
1.0191
.3000
. 1441
2. 1866
2 . 3339
l . 674:?.
. OS77
.2567
. 12G3
2 . 0830
2. 1176
1 ..~107
.7997
. 2203
. 1098
1.6903
1.7988
1.6214
.9633
.3410
. 1342
1.5297
•1.64+2
1.3104
.7693, .
.26 73 2
.1211™
1 . 4285
1 . 5409
1 . 1 3«4
.66*8
.2287
. 10:37
1.3577
1.39- 16
1 . 0239
. 5939
. 2038
.0925
-------
DOVNVIND DISTANCE (KPO *
PLUME ALTITUDE (PD *
SIGMA Y (PD *
SIGMA Z •
S02-SO4 COITVERSIOPT RATE'
SOX-NOB coirvERsiOpr RATE=
CONCENTRATIONS OF AEROSOL AND GASES CONTRIBUTED BY
COPPER SMELTER (*2>
100.0
412.
4019.
434.
.3000 PERCENT/HR
0.0000 PERCENT/HR
ALTITUDE
H+2S
INCREMENT:
TOTAL AMB:
H+1S
INCREMENT:
TOTAL AMB:
H
INCREMENT:
TOTAL AMB:
H-1S
INCREMENT:
TOTAL AMB:
H-2S
INCREMENT:
TOTAL AMB:
0
INCREMENT:
TOTAL AMB:
PTOX
(PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
N02
( PPPD
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
PTO3- NO2/NTOT
(UC/PB)
-------
VISUAL EFFECTS FOR HORIZOTTAL SIGHT PATBS
COPPER SMELTER <*2)
DISTANCE (KM) = 100.0
PLUME ALTITUDE BRATIO
BELX
DELY E(LUV) E(LAB)
30.
30.
30.
30.
30.
30.
43.
43.
43.
43.
43.
43.
60.
60.
60.
60.
60.
60.
90.
90.
90.
90.
90.
90.
.02
.03
. 10
.20
.50
.80
.02
.03
. 10
.20
,30
.80
.02
.05
.10
.20
.50
.80
.02
.03
. 10
.20
.50
.80
P 106 . 6
100.3
94.6
91.2
90.3
104.0
112.3
107.2
103.0
102.6
102. 1
104.0
114.9
110.6
108.0
107.7
107.2
107.1
116.5
112.7
111.0
110.7
110.3
110.2
17.97
22.72
27.20
29.87
30.39
20.00
13.38
17.37
20.74
21.04
21.46
20.00
11.61
14.89
16.89
17. 14
17.31
17.62
10.40
13.30
14.60
14.83
15.16
15.26
61.93
61.74
61.73
62.31
63.33
63.89
62. 17
61.92
61.93
62.64
63.63
63.94
62.32
62.09
62.21
62.83
63.69
63.96
62.43
62.21
62.39
62.95
63.74
63.97
82.89
82.79
82.79
83.09
83.73
83.93
83.02
82.89
82.89
83.27
83.79
83.95
83. 10
82.98
83.04
83.37
83.82
83.96
83.16
83.04
83.14
83.43
83.84
83.97
.3026
.3026
.3023
.3012
.3000
.2999
.3026
.3027
.3024
.3011
.3000
.3000
.3025
.3026
. 302 1
.3010
.3000
.3000
.3024
. 3025
.3020
.3009
.3000
.3000
.3126 -2.18
.3124 -2.38
.3120 -2.39
.3110 -1.81
.3105 -.59
.3107 -.22
.3128 -1.95
.3127 -2.19
.3122 -2.18
.3111 -1.48
.3106 -.48
.3108 -.18
.3128 -1.80
.3127 -2.03
.3122
.3112
.3107
.3108
.3127
.3127
.3121
.3112
.91
.29
.42
. 16
.69
.91
.72
.17
.3107 -.38
.3109 -.14
-1.13
-1.23
-1.26
-.95
-.31
-. 12
-1.02
-1. 15
-1. 15
-.77
-.25
-. 10
-.94
-1.07
-1.00
-.68
-.22
-.08
-.88
-1.00
-.90
-.61
-.20
-.07
-.0334
-.0387
- . 0389
-.0297
-.0100
- . 0039
-.0315
-.0356
-.0353
- . 0243
- . 0082
- . 0o;}2
-.0290
- . 0328
- . 03 1 0
-.0213
- . 007 1
- . 0028
- . 0272
- . 0309
- . 0280
-.0192
-.0064
- . 0025
.9371
.9373
.9624
.9798
.9966
.9973
.9572
.9560
.9616
.9826
.9972
.9978
. 9585
.9570
.9653
. 9843
.9973
.9981
.9598
.9581
.9683
. 9856
.9977
.9983
.0026
.0026
.0023
.0012
- . 000 1
- . 000 1
. 0023
.0026
. 0023
.0010
- . 0000
- . 00 1
.0024
. 0025
.0021
.OOO9
- . oooo
- . 000 1
.0023
.0024
.0019
. 0009
- . 0000
- . OOO 1
.0013
.0013
.0009
- . OOO 1
- . 0006
- . 0003
.0017
.0016
.0012
.0001
- . 0004
- . 0003
.0017
.OO16
.0011
.0001
- . 00O4
- . 0002
.00 17
.0016
.0010
.OOO1
- . 0003
- . 0002
2.3206
2.5698
2.3567
1 . 4736
.4708
.2264
2.4387
2.3694
2.3297
1 . 2488
.3819
. 1836
2.3324
2.4741
2.0818
1.1111
. 3323
. 1397
2.2393
2 . 3874
1 .9057
1.0146
.2?'? 2
. 1437
1.7048
1 . 7726
1 . 6770
1. 1364
.4185
. 1888
1.6184
1.7312
1.6116
.9590
.339*?
. 1337
1 . 5368
1 . 6509
1 . 42'):>
.8442
.2958
. 1340
1.4697
1 . 5847
1 . 3025
.7658
.2664
. 1 2v?7
-------
CONCENTRATIONS OF AEROSOL AND GASES COITTRIBUTED BT
COPPER SMELTER (*2)
DOVNV1ND DISTANCE (KM) »
PLUME ALTITUDE (M) * 412.
SIGMA Y (M> = 3600.
SIGMA Z (M) = 352.
SO2-SO4 CONVERSION RATE* .3000 PERCENT/HR
NOX-N03 CONVERSION RATE* 0.0000 PERCENT/HR
ALTITUDE
H+2S
INCREMENT:
TOTAL ATffl:
H+1S
INCREMENT:
TOTAL AMB:
H
INCREMENT:
TOTAL AMB:
H-1S
INCREMENT:
TOTAL ATB:
H-2S
INCREMENT:
TOTAL AMB:
0
INCREMENT:
TOTAL ANB:
NOX
(PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
NO2
( PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
NO3-
(UGXM3)
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
NO2/NTOT NO3-/NTOT
(MOLE %) (MOLE %)
0.000
73.074
0.000
75 . 066
0.000
73 . 054
0.000
75 . 054
0.000
73.034
0.000
75 . 054
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0 . 000
0.000
0.000
0.000
0.000
SO2
( PPM)
.003
.005
.026
.026
a
.052
.052
.052
.052
.052
.052
.052
.032
SO4= SO4=/STOT
(UC/M3) (MOLE «)
1.015
2.760
4.776
6.521
9.743
11.488
9.743
1 1 . 438
9.743
11.488
9 . 743
11.438
3.829
1 1 . 389
3.829
6 . 063
3.829
3 . 280
3.829
3 . 280
3.829
5.280
3.829
5 . 280
03
( PPM)
-.000
.040
-.000
.040
-.000
.040
-.000
.040
-.000
.040
-.000
.040
PRIMARY BSP-TOTAL BSPSN/B!
(UG/M3) (10-4 M-l) (%)
.015
31.759
.069
31.814
. 141
3 1 . 886
. 141
3 1 . 886
. 141
31.886
. 141
31.886
.039
. 26 1
.279
.481
.369
.771
.369
.771
.369
.771
.369
. 77 1
99 . 303
6 1 . 435
99.503
78.844
99.503
80.619
99.503
86.619
99.303
86.619
99.503
86.619
CUMULATIVE SURFACE DEPOSITION (MOLE FRACTION OF INITIAL FLUX)
S02: .1516
NOX: .1546
PRIMARY PARTICIPATE: .0164
S04: .0003
N03: 0.0000
-------
VISUAL EFFECTS FOR HORIZONTAL SIGHT PATHS
COPPER SMELTER <*2>
DOMWITD DISTANCE (KPD = 130.0
PLUME ALTITUDE (M) = 412.
SIGHT PATH IS THROUGH PLUME CEITTER
THETA ALPHA RP/RV0
90.
RV ^REDUCED
YCAP
X
Y DELYCAP
DELL C<530> BRATIO
DELX
DELY E(LUV) E(LAB)
30.
30.
30.
30.
30.
30.
43.
43.
43.
43.
43.
45.
60.
60.
60.
60.
60.
60.
90.
90.
90.
90.
90.
90.
.02
.03
. 10
.20
.30
.80
.02
.03
.10
.20
.00
.80
.02
.03
. 10
.20
.00
.80
.02
.03
. 10
.20
.30
.80
100.3
93.9
83.9
78.0
77.3
104.0
107.9
102.1
96.6
93.4
92.8
104.0
111.3
103.7
101.3
100.2
99.6
104.0
113.3
108.4
104.6
104.2
103.7
104.0
22.87 61.84 82.84 .3024 .3122 -2.28 - .20 -.0371 .9610 .0023 .0011 2. 3808 1.6383
27.76 61.73 82.78 .3023 .3119 -2.39 - .26 -.0390 .9626 .0022 .0009 2.3479 1.6748
33.94 61.73 82.78 .3020 .3113 -2.39 - .26 -.0392 .9673 .0019 .0003 2.1346 1.3978
39.97 62.06 82.96 .3013 .3109 -2.06 - .08 -.0339 .9781 .0012 -.0002 1.6232 1.3036
40.33 63.44 83.69 .2999 .3104 -.68 -.33 -.0114 .9961 -.0001 -.0007 .3417 .4804
20.00 63.86 83.91 .2999 .3107 -.26 -.13 -.0044 .9968 -.0001 -.0004 .2603 .2)62
16.97 62.01 82.94 .3023 .3126 -2.10 - .11 -.0341 .9382 .0025 .0013 2.4482 1.6317
21.30 61.81 82.83 .3023 .3124 -2.31 - .21 -.0373 .9382 .0025 .0013 2.3104 1.7262
23.71 61.80 82.82 .3023 .3120 -2.32 -1.22 -.0378 .9630 .0022 .0009 2.3093 1.6368
28.14 62.37 83.13 .3012 .3110 -1.73 -.92 -.0287 .9803 .0011 -.0000 1.4340 1 . 1206 5£
28.64 63.53 83.74 .3000 .3103 -.37 -.30 '-.0096 .9967 -'.0001 -.0*0:5 .434') . 4043 CX>
20.00 63.90 83.93 .2999 .3108 -.22 -.11 ^.0037 .9974 -.0001 -.0003 .2187 . 1023
14.38 62.13 83.01 .3023 .3127 -1.97 -1.03 -.0319 .9381 .0025 .0016 2.4081 .60,16
18.72 61.90 82.88 .3026 .3126 *2.22 -1.17 -.0360 .9569 .0026 .0013 2.3370 .7£»l
22.08 61.89 82.87 .3023 .3122 -2.23 -1.17 -.0363 .9618 .0023 .0011 2.3333 .6233
22.92 62.56 83.23 .3011 .3111 -1.35 -.81 -.0236 .9819 .0011 .0000 1.3027 .00o2
23.36 63.61 83.78 .3000 .3106 -.31 -.27 -.0086 .9970 -.0000 -.00O3 .4028 .3582
20.00 63.93 83.94 .3000 .3108 -.19 -.10 -.0033 .9977 -.0001 -.0003 .1936 .1620
12.84 62.25 83.06 .3023 .3127 -1.87 -.98 -.0302 .9386 .0024 .0016 2.3337 .3393
16.59 62.01 82.93 .3026 .3126 -2.11 -1.11 -.0342 .9572 .0025 .0016 2.4393 .6739
19.54 62.02 82.94 .3023 .3122 -2.09 -1.10 -.0341 .9628 .0022 .0011 2,2512- .3534
19.82 62.70 83.30 .3011 .3111 -1.42 -.74 -.0234 .9831 .0010 .0001 1.203') .9229
2O.22 63.65 83.80 .3000 .3106 -.46 -.24 -.0078 .9972 -.0000 -.0004 .3666 .3262
20.00 63.94 83.93 .3000 .3108 -.18 -.09 -.0030 .9979 -.0001 -.0002 . 1T62 .1476
-------
CONCENTRATIONS OF AEROSOL AND CASES CONTRIBUTED BY
COPPER SMELTER (*2)
DOVFV1ND DISTANCE (KM) * 200.0
PLUME ALTITUDE (PD = 412.
SIGMA Y (PI) = 7059.
SIGMA Z (PD * 633.
SO2-SO4 CONVERSION RATE" .3000 PERCENT/HR
NOX-NOS CONVERSION RATE* 0.0000 PERCENT/HR
ALTITUDE
H+2S
INCREMENT*
TOTAL AMB:
H+1S
INCREMENT:
TOTAL AMB:
H
INCREMENTS
TOTAL AMBs
H-1S
INCREMENT:
TOTAL AMB:
H-2S
INCREMENTS
TOTAL AMB:
0
INCREMENT:
TOTAL AMB:
NOX
(PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
NO2
( PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
NO3-
( UG/M3)
0 • 000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
NO2/NTOT NO3-/NTOT
(MOLE JO (MOLE %)
0.000
75.073
0.000
75 . 069
0.000
75 . 06 1
0.000
75.061
0.000
75 . 06 1
0.000
73 . 06 1
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
SO2
( PPM)
.004
.004
.017
.017
.036
.036
.036
.036
.036
.036
.036
.036
SO4=
(UG/M3)
.981
2.723
4.427
6.172
9.336
11.031
9.336
11.081
9 . 336
11.031
9.336
11.081
S04=/STOT
(MOLE %)
4.930
13.445
4.930
8.394
4.930
7.237
4.930
7.237
4.930
7.237
4.930
7.237
03
(PPPD
-.000
.040
-.000
.040
-.000
.040
-.000
.040
-.000
.040
-.000
.040
PRIMARY BSP- TOTAL
(UG/M3) (10-4 M-l)
.011
31.756
.050
31.794
. 103
31.849
. 103
3 1 . 849
. 100
3 1 . 849
. 105
3 1 . 849
.057
.239
.258
.460
. 343
.746
.543
.746
.545
.74^
. 545
.746
BSPSN/BSP
(%)
99.616
61. 173
99.616
77.979
9«».616 oc
86.281 ~
99.616
06.281
99.616
86.281
99.616
86.281
CUMULATIVE SURFACE DEPOSITION (MOLE FRACTION OF INITIAL FLUX)
S02: .2001
NOX: .2033
PRIMARY PARTICIPATE: .0222
SO4: .0005
NO3: 0.0000
-------
VISUAL EFFECTS FOR HORIZONTAL SIGHT PATHS
COPPER SPELTER <*2)
DOWWIND DISTANCE (KM) = 200.0
PLUME ALTITUDE
-------
coifCEnrnuTioirs OF AEROSOL AND GASES CONTRIBUTED BY
COPPER SMELTER <*2)
DOVNVIND DISTANCE (KM) » 230.0
PLUME ALTITUDE (M) = 412.
SIGMA Y (M) » 8428.
SIGMA Z = 703.
SO2-SO4 CONVERSION RATE* .3000 PERCENT/HR
NOX-NO3 CONVERSION RATE= 0.0000 PERCENT/HR
ALTITUDE
H+2S
INCREMENT:
TOTAL AMB:
H+1S
INCREMENT:
TOTAL AMB:
H
INCREMENT:
TOTAL AMBt .
H-IS
INCREMENT:
TOTAL AMBi
H-2S
INCREMENT:
TOTAL AMB:
0
INCREMENT:
POTAL AMB:
NOX
( PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
NO2
(PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
N03-
( UG/M3)
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
NO2/NTOT NO3-/NTOT
(MOLE 5O (MOLE %)
0.000
73 . 073
0.000
73.071
0.000
73.063
0.000
73.063
0.000
73 . 063
0.000
75.065
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
o
0.000
0.000
0.000
0.000
S02
( PPM)
.003
.003
.012
.012
.027
.027
.027
.027
.02T
.027
.027
.027
SO4=
(UG/M3)
1.092
2.836
4.177
5.921
8.931
10.675
8.931
10.675
8.931
10.675
8.931
10.675
SO4=/STOT
(MOLE %)
5.944
18. 126
5.944
10.779
3 . 944
9 . 243
3.944
9.243
3.944
9 . 245
5 . 944
9 . 245
03
( PPM)
-.000
.040
-.000
.040
-.000
.040
-.000
.040
-.000
.040
-.000
.040
PRIMARY
(UG/M3) <
.010
31.755
.039
3 1 . 783
.082
3 1 . 827
.082
3 1 . 827
.082
3 1 . 827
.082
3 1 . 827
BSP-TOTAL
; 10-4 N-l)
.064
.265
0
.243
.445
.521
.722
.52J
.722
.521
.521
.722
BSPSN/R
99 . 6O3
62. 124
99.6»3
77.297
99 . 683
83 . 886
99 . 6O3
a). 886
99.683
8.j . 80-3
99.683
85 . 836
CUMULATIVE SURFACE DEPOSITION (MOLE FRACTION OF INITIAL FLUX)
SO2: .2423
NOX: .2500
PRIMARY PARTICULATE: .0277
SO4: .0008
NO3: 0.0000
-------
VIStJAL EFFECTS FOR HOR1ZOHTAL SIGHT PATHS
COPPER SMELTER <*2>
DOWTVIITD DISTANCE * 412.
SIGHT PATH IS THROUGH PLUME CEITTER
THETA ALPHA RP/RV0
90.
RV ^REDUCED
YCAP
Y DELYCAP
DELL C<330) BRATIO
DELX
DELY E(LU\0 E(LAB)
30.
30.
30.
30.
30.
30.
43.
43.
43.
43.
43.
43.
60.
60.
60.
60.
60.
60.
90.
90.
90.
90.
90.
90.
.02
.03
. 10
.20
.30
.80
.02
.03
. 10
. .20
.30
.80
.02
.03
. 10
.20
.30
.80
.02
.05
. 10
.20
.30
.80
90.6
84.3
73.4
64.3
63.0
104.0
101.3
93.4
87.3
79.4
78.7
104.0
106.0
100.4
94.1
83.3
88.1
104.0
108.8
103.3
98.0
94.4
93.8
104.0
30.30
.34.98
41.98
30.36
30.00
20.00
22.08
26.62
32.66
38.89
39.48
20.00
18.47
22.79
27.63
31.63
32.20
20.00
16.33
20.52
24.64
27.38
27.87
20.00
61.92
61.90
61.93
62.21
63.36
63.83
61.93
61.84
61.83
62.09
63.45
63.87
62.03
61.88
61.86
62.27
63.31
63.89
62. 11
61.92
61.90
62.40
63.56
63.91
82.89
82.88
82.90
83.04
83.63
83.89
82.90
82.84
82.84
82.98
83.69
83.91
82.93
82.86
82.83
33.07
83.73
83.92
82.99
82.89
82.88
83. 14
83.73
83.93
.3018
.3017
.3014
.3008
.2999
.2999
.3022
. 3O2 1
.3019'
.3012
.3000
.2999
.3024
.3023
.3021
.3012
.3000
.2999
.3024
.3024
.3022
.3012
.3000
.2999
.3115
.3113
.3109
.3105
.3103
.3107
.3121
.3113
.'3115
.3109
.3104
.3107
.3123
.3121
.3117
.3110
.3105
.3107
.3125
.3123
.3119
.3110
.3105
.3108
-2.20
-2.22
-2.17
-1.90
-.73
-.29
-2. 17
-2.28
-2.29
-2.03
-.67
- . 23
-2.09
-2.24
-2.26
.13
.17
. 14
.00
.39
. 13
. 14
.20
.20
.07
.35
.13
. 10
. 18
. 19
- 1 . 85 - . 97
-.61 - . 32
-.23 -.12
-2.01 -1.06
-2.20 -1.15
-2.22 -1.17
-1.72 -.90
- . 56 - . 29
-.21 -.11
-.0360
-.0364
-.0337
-.0315
-.0126
- . 0049
-.0334
- . 0372
- . 0375
- . 0334
-.0112
- . 0044
- . 0340
- . 0366
- . 0370
- . 0305
-.01O2
- . 0040
- . 0326
-.0338
-.0362
- . 02Q3
-.0095
- . 0037
.9702
.9723
.9762
.9832
.9956
.9962
.9633
.9630
.9692
.9782
.9961
.9968
.9613
.9620
.9663
.9794
.9964
.9972
. 9603
.9605
.9649
. 9803
.9967
.9974
.0018
.0016
.0013
.0008
- . 0002
- . 0002
.0022
.0021
.0018
.0012
- . 000 1
- . 000 1
.0023
. 0023
.0020
.0012
- . 000 1
- . 000 1
. 0023
. 0024
.0021
.001 1
- . 000 1
- . OOO 1
.0004
.0002
- . 000 1
-.0006
- . 0008
- . 0004
.0010
. 0003
. 0004
- . 00O2
- . 0007
- . 0004
.0013
.O011
.0007
- . 000 1
- . 0006
- . OO03
. 00 1 4«
.OO12
. 0003
- . oooo
- . 0003
- . 0003
1.9760
1 . 8974
1 . 7348
1 . 4030
.6094
.2927
2.2445
2. 2130
2.0434
1.6124
.3346
. 2369
2.3115
2 . 3233
2. 1539
1 . 3024
. 43^.3
. 2S28
2 . 020 1
2 . 3776
2 . 2003
1 . 4 1 4fl
. 4474
.2150
1.4662
1 . 44* ?.
1.3793
1. 1907
.3363
.2419
1.3694
1.5b38
1 . 5230
1 . 28S2
. 41* 42
. 2 1 33 u
1 . 3806 :v
1.6238
1 . 356<*
1 . 163 S
. 430 I
. 1940
1.56 7?
] . 0-37-'-
1.36i.4
1 . 1 0C4
.3976
. 1796
-------
DOVHVIND DISTANCE (KM) =
PLUME ALTITODE (PI)
SIGMA Y (PD =
SIGMA Z *
SO2-SO4 CONVERSION RATE«
PTOX-NO3 CONVERSION RATE*
CONCENTRATIONS OF AEROSOL AND GASES CONTRIBUTED BY
COPPER SMELTER
= 300.0
' 412.
= 9723.
' 766.
.5000 PERCEinVHR
0.0000 PERCENT/HR
ALTITUDE
B>2S
INCREMENT:
TOTAL AMB:
B+IS
WCREMENT:
TOTAL AMB:
H
INCREMENT:
'IX>TAL AMB:
H-1S
INCREMENT:
TOTAL AMB:
H-2S
INCREMENT:
TOTAL AMB:
0
INCREMENT:
TOTAL AMB:
PTOX
( PPN>
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
NO2
(PPM)
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
NO3-
(UGXM3>
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
N02/NTOT ff03-/]fTOT
(MOLE %)
.000 .011 .078 99.727
.040 31.755 .279 64.023
.000 .032 .233 99.727
.040 31.776 .434 76.738
.000 .068 .498 99.727
.040 31.812 .699 83.463
.000 .068 .498 99.727
.040 31.812 .699 &5.463
.000 .068 .498 99.727
.040 31.812 .699 85.463
.000 .068 .498 99.727
.040 31.812 .699 83.463
oo
r\i
^UPIULATIVE SURFACE DEPOSITION (MOLE FRACTION OF INITIAL FLUX)
SO2: .2794
PTOX: .2899
,-RIMARY PARTICULATE: .0329
SO4: .0011
PTO3: 0.0000
-------
VISUAL EFFECTS FOR HORIZOITTAL SIGHT PATHS
COPPER SMELTER <*2)
DISTANCE (KM) = 300.0
I.UME ALTITUDE (PD = 412.
IGHT PATH IS THROUGH PLUME CENTER
iffiTA ALPHA RP/RV0
90.
30.
30.
30.
30.
30.
30.
43.
43.
43.
43.
43.
43.
60.
60.
60.
60.
60.
60.
90.
90.
90.
90.
90.
90.
RV %REDUCED
YCAP
Y DELYCAP
DELL C(330) BRATTO
DELX
DELY E(LUV> E(LAB)
02
03
10
20
00
80
02
00
10
20
30
80
02
03
10
20
00
80
02
03
10
20
50
80
87.0
81.2
72.2
60.0
65.0
104.0
98.8
93.0
84.7
76.4
73.4
104.0
104.0
98.4
91.4
84.5
83.8
104.0
107. 1
101.7
95.7
90.7
90.0
104.0
33.09
37.37
44.49
33.86
00.00
20.00
24 . 00
28.44
34.84
41.23
43.53
20.00
20.00
24.27
29.67
34.98
33.53
20.00
17.63
21.76
26.37
30.24
30.73
20.00
62.01
62.02
62.08
62.33
63.35
63.83
61.97
61.90
61.90
62. 16
63.42
63.86
62.03
61.91
61.89
62, 18
63 . 48
63.88
62.09
61.94
61.91
62.31
63.53
63.89
82.94
82.94
82.97
83.10
83.64
83.89
82.92
82.83
82.88
83.01
83.68
83.91
82.93
82.88
82.87
83.03
83.71
83.92
82.98
82.90
82.83
83.09
O3.73
83.93
.3013
.3014
.3011
.3007
.2999
.2999
.3021
.3019
.3017
.3011
.2999
.2999
.3022
.3022
.3019
.3012
.3000
.2999
. 3023
.3023
.3020
.3012
.3000
.2999
.3112
.3110
.3107
.3104
.3103
.3106
.3118
.3116
.3113
.3108
.3104
.3107
.3121
.3119
.3116
.3109
.3105
.3107
.3123
.3121
.3118
.3110
.3105
.3107
-2.10
-2.10
-2.04
-1.79
-.77
-.29
-2. 14
-2.22
-2.22
-1.96
-.69
-.26
-2.09
-2.21
-2.23
-1.94
-.64
-.24
-2.02
-2. 18
-2.20
-1.81
-.59
-.22
-1.11
-1.10
-1.07
-.94
-.40
-. 13
-1.13
-1. 17
-1. 17
-1.03
-.36
-. 14
-1.10
-1. 16
-1. 17
-1.02
-.33
-. 13
-1.06
-1.15
-1. 16
-.95
-.31
-. 12
- . 0346
- . 0346
- . 0336
-.0296
- . 0 1 3€>
-.0000
-.0350
-.0363
- . 0364
- . 0323
-.0117
- . 0045
- . 0340
- . 036 1
- . 0366
-.0319
-.0107
- . 0042
- . 0329
-.0335
- . 036 1
-.0298
-.0100
- . 0039
.9741
.9762
.9796
.9855
.9935
. 996 1
.9665
.9682
.9722
.9803
.9960
.9966
.9636
.9647
.9687
.9788
.9963
.9970
.9622
.9628
.9669
.9797
.9965
.9972
.0013
.0013
.0011
.0006
- . 0002
- . 0002
.0020
.0019
.0016
.0010
- . 000 1
-.0001
.0022
.0021
.0019
.0012
- . 000 1
- . 000 1
.0023
. 0022
.0020
.0012
- . 000 1
- . 000 1
.0001
-.0001
- . 0003
-. 0007
- . 0008
- . 0004
.0008
.0006
.0002
- . 0003
- . 0007
- . 0004
.0011
.0009
. 0003
- . OOO 1
- . 0006
- . 0003
.0012
.0011
.0007
- . 000 1
- . 0006
- . 0003
•1.7893 1.3689
1.7111 1 . 3440
1.5676 1.2815
1.2931 1.1195
.6265 .5334
. 3003 . 2483
2. 1 108 1.5033
2.0627 1.5063
1 . 9043 1 . 4494
1.3133 1.2336
. 5374 . 4939
.2678 . 2222
2.2167
2.2071
2.0460
1 .5571
. oOJM
. 2443
2.2)17
2.2764
2. I 122
1 . 4745
.5357£
.3635 R>
. 3044
.23*6
.4-)16
. 2033
.5372
.5839
.5217
. 1375
.4723 .4197
.2271 .1894
-------
323
APPENDIX F
DESCRIPTION OF THE NORTHERN
GREAT PLAINS REGIONAL .MODEL
-------
324
APPENDIX F
DESCRIPTION OF THE NORTHERN GREAT PLAINS REGIONAL MODEL
Visibility reduction on a regional scale can be caused by transport
of sulfur dioxide and its derivative, sulfate, over large downwind dis-
tances. Thus, a regional air quality model is an indispensable component
of a visibility prediction model. The objective of the regional air
quality model is to simulate the distributions of air pollutants from
multiple point sources at large distances (on the order of several hundred
kilometers). On this scale, the transport and horizontal dispersion of
the pollutants and the attendant removal processes are the major factors
to be treated in a model.
•
For the visibility model, a regional model originally developed by
Liu and Durran (1977) was adopted. This grid-based numerical model is
composed of two interconnected modules, as shown in Figure F-l: a mixing
layer model, which treats transport and diffusion in the mixing layer, and
a surface layer model, which calculates the pollutant loss to the ground
due to dry deposition. In addition, the model accounts for chemical reac-
tions and dry and wet deposition. As reported by Liu and Durran (1977),
this model was applied to the Northern Great Plains to assess the air
quality impact of current and proposed coal development in that area.
Subsequently, Liu, Wojcik, and Henderson (1978) modified the wind and dif-
fusivity algorithm in the model, creating the version used for the
visibility study.
In the past few years, several modeling studies have attempted to
obtain a quantitative understanding of long-range pollutant transport.
For example, Rodhe (1972) of Sweden used a quasi-one-dimensional diffusion
model to compute the atmospheric sulfur budget for northern Europe: He
concluded that about half of the sulfate in rainfall in Sweden originates
-------
TOP OF THE MIXING LAYER
MIXING LAYER
CO
ro
tn
GROUND SURFACE
SURFACE LAYER
FIGURE F-l. SCHEMATIC OF THE REGIONAL MODEL CONFIGURATION
-------
326
from foreign industrial sources. His work was followed by studies by Nordb,
Eliassen, and Saltbones (1974) and Nordlund (1975) from Scandinavia and
Scriven and Fisher (1975a, 1975b) from Great Britain, which have further
clarified the relative roles played by different physical processes in
determining the half-lives or residence times of atmospheric pollutants.
Unfortunately, most of these studies employed either a time-dependent
one-dimensional diffusion equation or a simple box-type model.
1. THE MIXING LAYER MODEL
The mixing layer model is designed to treat transport and diffusion
within the mixing layer. The time-dependent multiple-species atmospheric
diffusion equation in two dimensions is used as the model equation:
3C. 3C. 3C. / 3C.\ / 3C.\
! + „ i + v 1 s _IK -I + — IK -i
at u ax v ay ax ySc ax / ay \[> ay /
+ D • f(D) + R. + S.
(F-l)
where
c-j = the vertically averaged concentration of
species i in the mixing layer,
u, v = the wind velocities in the x- and y-
directions, respectively,
KX, Ky = the turbulent diffusivities in the x- and y-
directions, respectively,
D = the two-dimensional divergence (= du/dx + dv/dy),
Rj, S.j = chemical reaction and volumetric source terms,
and where
f(D)
-------
327
C.. is the concentration of species i aloft. Although our study
considered only S02 and sulfate via a first-order reaction, the regional
model can be extended to handle multiple reactive species.
The major feature of this model equation is that the pollutant
distribution is nearly uniform in the vertical direction. With this as-
sumption, it can be shown that the model equation can be formally derived
from the more general atmospheric diffusion equation. The compelling
reason for this assumption is that the vertical diffusion term has been
found to be one or two orders of magnitude greater than the transport term
and the horizontal diffusion term (Liu and Durran, 1977).
Because of the relatively large spatial scale, pseudo-diffusion
associated with the numerical solution of Eq. (F-l) can be overwhelming.
Consequently, an accurate scheme must be used for the simulation of the
transport term. Liu and Durran (1976) carried out a study to compare and
test three finite-difference techniques for the problem at hand:
> The upstream difference scheme (Forsythe and Wasow, 1960).
> The SHASTA (sharp and smooth transport algorithm) method
(Boris and Book, 1973).
> The moment method -(Egan and Mahoney, 1972).
They showed that while the conventional upstream difference scheme shows
intolerable spreading of the plume, both the SHASTA method and the moment
method produce significant improvement, with the latter slightly better
than the former. Computationally, the moment method is, however, about
10 times slower than the SHASTA method. Thus, after considering both
accuracy and computing speed, they recommended the SHASTA method for solv-
ing the mesoscale atmospheric diffusion equation.
The numerical solution of Eq. (F-l) also invokes the method of frac-
tional steps (Yanenko, 1971), which allows for the division of a two-
dimensional partial differential equation into two one-dimensional equations.
-------
328
Symbolically, Eq. (F-l) can be reduced to the following system of equa-
tions:
C^ ~* f* ^r*^ ^ I ^lf*** \
*- + y ji_ = o J K °i I + R (F 2^
C*** - c**
At
The SHASTA method can then be applied to each of these two equations.
This method consists of a transport stage followed by an antidiffusion
stage. The first stage is similar to many known transport algorithms. For
For example, for a uniform velocity and diffusivity field and R. = 0,
Eq. (F-2) can be expressed as:
where
.. . j.
and
e =
AX X (AX)2
The antidiffusion stage attempts to remove the numerical diffusion gener
ated in the first stage by inverting
* "
c! • T - ? cj*i ' 2c" + CJ-'
Further conditions must be posed to ensure that these correction fluxes
will not introduce artificial peaks or negative concentrations (Boris
and Book, 1973).
Exercise of the model equation also requires specification of the
average winds and horizontal diffusivities in the mixing layer. In sev-
eral long-range modeling studies (e.g., Nordo, Eliassen, and Saltbones,
-------
329
1974; Nordlund, 1975), the average horizontal winds were computed from
the geostrophic wind components given by:
= a/si
(F-7)
• \>"V
where
g = the gravitational constant,
f = the Coriolis parameter,
z = the geopotential height,
u, v = the zonal and meridional components, respectively,
of the horizintal wind in the mixing layer.
This is the approach that we adopted.
Quantitative determination of the horizontal turbulent diffusivities
has been a subject of many recent studies. On the scale of interest here,
pollutant dispersal is strongly dependent on a length scale characteristic
of the effective turbulent eddies. Pertinent field observations indicate
that the regional-scale horizontal diffiisivity increases with plume spread
o CO
and ranges in value from 10 to 10 m /s (Bauer, 1973). In a study on the
numerical simulation of the atmospheric circulation, Smagorinsky (1963)
showed that the nonlinear lateral diffusion can be formulated on the basis
of the similarity theory for turbulence in the equilibrium range
(Heisenberg, 1948). If this theory is also applicable to the regional
scale, the following formula for the horizontal eddy diffusivity coeffi-
cient can be derived:
KH B f • U)2 • |Def| , (F-8)
where A is the grid spacing, a % 0.28, and |Def| is the magnitude of the
velocity deformation:
-------
330
r/3v u\2 2V/2
e |>* + ay) + (ax ".ay) J • (F-9)
According the the above prescription, computation of the horizontal
velocities and horizontal diffusivities requires taking the first and
second derivatives of the two-dimensional geopotential height field, which
is usually given in either graphical or tabular form. Obtaining these
derivatives apparently constitutes a stringent test for any interpolation
method. In a recent study, Liu, Wojcik, and Henderson (1978) examined the
following three objective analysis schemes for generating the geopotential
height:
> Bilinear interpolation
> Conditional relaxation analysis method
> Bicubic spline fitting.
They demonstrated through extensive numerical experiments that both the
bilinear interpolation and conditional relaxation analysis methods produce
interpolated wind fields that generally have the proper magnitudes and
directions but severely distort the velocity fields around the data points.
As a result, the computed diffusivity fields exhibit unrealistic discontin-
uities. These two methods have thus been deemed to be unsuitable.
The monotonic and small amplitude characteristics of the height field
that caused problems in these two methodologies render the bicubic spline
fit an ideal candidate for interpolating the geopotential height data.
Mathematically, the spline function is a piecewise cubic (third degree)
polynomial passing through all data points and having continuous first and
second derivatives. The spline can be viewed as a set of cubic equations,
one equation for each interval between successive data points. The coeffi-
cients of the cubic equations are such that at any data point the equation
for the left interval will yield the same values for the first and second
derivatives as will the equation for the right interval.
-------
331
The 850-millibar weather maps for the Northern Great Plains for 1700
MST on 30 January 1976 (Figure F-2) have been used to illustrate this tech-
nique. As shown in Figure F-3, the interpolated geopotential height field
generated by the bicubic spline fit is extremely smooth. As expected, the
computed meridional and zonal components of the wind field, as shown in
Figures F-4 and F-5, are by far the smoothest. The horizontal diffusivi-
ties were subsequently calculated according to Eqs. (F-8) and (F-9). The
results are presented in Figure F-6. The range of the computed horizontal
4 42
diffusivities for the test case varies from 0.1 x 10 to 1.0 x 10 m /s,
qualitatively in agreement with estimates made based on observational
studies. The higher values of the computed horizontal diffusivities are
generally located in the east and northeast parts of the modeling region,
apparently because of the wind shear suggested by the weather map.
FIGURE F-2. 850-mb WEATHER MAP FOR 1700 MST
30 JANUARY 1976
-------
9 10 11
FIGURE F-3. BICUBIC SPLINE FIT OF GEOPOTENTIAL
HEIGHT (IN METERS)
9 10 11
(x 100 lo>)
FIGURE F-5. ZONAL WIND (m/s) GENERATED BY A BICUBIC
SPLINE FIT OF GEOPOTENTIAL HEIGHT
FIGURE F-4. MERIDIONAL WIND (m/s) GENERATED
BY A BICUBIC SPLINE FIT OF
GEOPOTENTIAL HEIGHT
20. 30 40 50 60 70 80 90 100 110
(x 100 ton)
FIGURE F-6. COMPUTED HORIZONTAL EDDY DIFFUSIVITIES
(104 m2/s)
GO
CO
PO
-------
333
2. THE SURFACE LAYER MODEL
The importance of surface deposition on pollutant concentrations at
large distances is well established (Nordo, 1973; Scriven and Fisher,
1975a, 19755). Thus, an indispensable element in a long-range transport
model is some treatment of pollutant depletion processes near the surface.
For pollutants originating from either elevated sources or distant ground-
level sources, most of the pollutant mass is contained in the mixing layer.
The removal processes consist of the diffusion of the pollutants through
the surface layer to the ground, followed by absorption or adsorption at
the atmosphere-ground interface. A unique feature of the surface layer is
its diurnal variation in temperature, which is a result of daytime heating
and nighttime cooling of the surface. This variation affects the vertical
pollutant distribution through atmospheric stabilities and, consequently,
affects the rate of surface uptake of pollutants.
The objective of the surface layer model (see Figure F-7) is to con-
struct an algorithm for the prescription of pollutant fluxes at the sur-
face. The surface layer can be divided into two parts: the turbulent
layer and the viscous sublayer. In the turbulent layer, after the atmo-
sphere reaches an equilibrium state, the atmospheric diffusion equation
becomes:
*N fir ° • (F-'0)
with the boundary conditions
c = c~ at z = h ,
Kvi=F at z = zo '
where F is the cell-averaged concentration in the mixing layer, F is the
pollutant flux across the turbulent layer/viscous sublayer interface, and
-------
HEIGHT
SURFACE
LAYER
TURBULENT LAYER
VISCOUS SUBLAYER
OO
CO
CONCENTRATION
FIGURE F-7. SCHEMATIC ILLUSTRATION OF THE SURFACE LAYER
-------
335
zn "is the height of the surface roughness element. The vertical diffusiv
ity K can be prescribed as follows (Businger et al., 1971):
v _ ku*z
"
where k is the von Karman constant, u* is the frictional velocity, and
4, is a function of atmospheric stability. For either the stable or
unstable case, the solution of Eq. (F-10) is simply:
At the turbulent layer/viscous sublayer interface, the pollutant flux can
be written as:
F=BU*(CO-CS) . (F-13)
where CQ and c denote the concentrations at the interface and the surface,
respectively, and 3, analogous to the Stanton number in heat transfer, is
the inverse of a dimensionless resistance for the viscous sublayer.
According to experiments carried out by Chamberlain (1966), e is dependent
on the geometry of the surface roughness, a Reynolds number appropriate to
the flow in the roughness layer, and the ratio of the kinematic viscosity
of air to the molecular diffusion coefficient of the pollutant gas. In
further investigations by Chamberlain (1966) and Thorn (1972), no direct
functional relationship was found between 6 and ZQ. Thus, Thorn proposed
that:
where a, and a,, are empirical constants. This algorithm was used in this
study.
-------
336
Completing the description of the surface layer model requires a
boundary condition at the surface. Uptake of air pollutants occurs by
chenical reaction or catalytic decomposition either within soil or vege-
tation or at their surfaces. These processes are generally dependent on
the gas concentration at the surface. A general equation for the gas loss
per unit area per unit time can be written as (Benson, 1968):
• YC
(F-15)
where F is the pollutant flux, y is a reaction rate constant, and c is
the concentration of the gas at the soil or vegetation surface. The expon-
ent a denotes the reaction order. Eliminating c and c from Eqs. (F-13),
(F-14), and (F-15), one obtains the following transcendental equation for F:
(F-16)
where
I =
h
W*+)
0
dz
(F-17)
Although the reaction order is most likely to be 1, closed-form solutions
can be found for the cases of a = 1, 2, and 3:
F = •<
21
A.)'
a = 1
a = 3
(F-18)
-------
337
where
A. -3
•-
1/2) 1/2
These formulae reduce to that of Chamberlain (1966) or Galbally (1974) for
the special case of (1) a first-order surface reaction and (2) a neutrally
stratified atmosphere.
To demonstrate the surface layer model outlined above, we discuss a
sample calculation. Using a 2 m/s surface wind and 1 cm/s for R, we show
in Table F-l the deposition velocity for SCL in cm/s with the 6 being pre-
scribed according to Chamberlain's algorithm. The variability of the
deposition velocity as a function of the time of the day and surface rough-
ness is clearly shown.
TABLE F-l. DEPOSITION VELOCITY (V = F/c, IN cm/s)
FOR SULFUR DIOXIDE 9
Surface Roughness
Exposure Class
Nighttime
Cloudiness
Heavy overcast (day
Daytime insolation
<3/8
>4/8
or night)
Slight
Moderate
Strong
0
0
0
0
0
0
0
.2 cm
.1196
.1379
.1176
.2342
.2399
.2461
0
0
0
0
0
0
2 en
.1358
.1544
.1696
.2149
.2211
.2275
20 cm
0.
0.
0.
0.
0.
0.
1024
1146
1146
1456
1508
1564
-------
338
APPENDIX G
APPLICATION OF THE REGIONAL MODEL
TO THE PREDICTION OF
VISIBILITY IMPAIRMENT IN THE
NORTHERN GREAT PLAINS
-------
339
APPENDIX G
APPLICATION OF THE REGIONAL MODEL
TO THE PREDICTION OF
VISIBILITY IMPAIRMENT IN THE
NORTHERN GREAT PLAINS
In the present project, a grid-based numerical model developed by
Liu and Durran (1977) was employed to calculate regional distributions
of sulfate and N02 concentrations, which are necessary to predict visi-
bility impairment. The description of this model is presented in Appendix F.
Only the application of this model to the Northern Great Plains to assess
the visibility problem and the results obtained are discussed in this
appendix.
The coal field in northeastern Wyoming, eastern Montana, and western
North Dakota is one of the world's largest known coal reserves. Many
large coal-fired power plants using locally mined coal have been built in
this area, and many more power plants and coal gasification plants are
being built or planned. The air qualit.' impacts of emissions from these
plants and the associated development pose a potential future problem.
For this reason and because of its simple terrain, we selected the Northern
Great Plains as the target site for testing and demonstrating the regional-
scale visibility model. As discussed in Chapter V, modeling the Southwest
United States would require a significant additional effort to characterize
the effect of complex terrain on wind distributions and pollutant dispersal.
1. APPLICATION OF THE REGIONAL-SCALE MODEL
In this section, we delineate three major tasks in the application of
the regional-scale model: preparation of emissions inventories, preparation
of meteorological scenarios, and specification of chemical rate data.
-------
340
a. Preparation of Emission Inventories.
In the Northern Great Plains, 86 percent of the total SO emissions
A
are attributable to point sources (EPA, 1976b), and future energy develop-
ment should increase this percentage; thus, only point source emissions
were included in the emissions inventory. Durran et al. (1978) assembled
emissions inventories for the base year (1976) and the year 1986 for the
1000 x 1200 km modeling region. Emissions data were obtained from permit
applications provided by individual plants or from state or federal regula-
tory agencies. Emissions projections were drawn from data provided by
the Environmental Protection Agency (EPA, 1976c), the Northern Great Plains
Resource Program (NGPRP, 1974), and the Federal Power Commission (1976).
Tables G-l and G-2 list point sources in the 1976 and 1986 inventories that
emit more than 10,000 tons of SO per year. The locations of these point
A
sources within the grid system adopted for air quality modeling and other
details of the emissions inventories, are given by Liu and Durran (1977).
In addition to the above two scenarios (1976 and 1986 emissions),
a hypothetical emissions scenario was prepared to illustrate the use
of the model. It consists of fictitious copper smelters clustered around
the center of the modeling region. The emissions data and the relative
locations for these fictitious smelters are identical to those for the
smelters in Arizona and New Mexico in 1972 and are shown in Table G-3
and Figure G-l.
Coal utilization in the Northern Great Plains will increase state-
wide emissions of sulfur oxides significantly. Emissions of the other
air pollutants from coal utilization—namely, nitrogen oxides, hydro-
carbons, and particulates--in the Northern Great Plains were forecast
by the NGPRP for the two scenarios mentioned earlier. This report does
not give detailed distributions of these emissions, but NO mass emission
A
rates, Q..Q (as NOp), have been estimated as follows:
-------
341
TABLE G-l. POINT SOURCES IN THE NORTHERN GREAT PLAINS
IN 1976 THAT EMITTED MORE THAN 10,000 TONS
OF SO PER YEAR
Source Capacity
Dave Johnston, WY 750
Ideal Basic Industries, CO
Naughton, WY 710
Exxon, MT
Milton R. Young, ND 240
Stanton, ND 167
Leland Olds, ND 650
Hayden, CO 180
Estimated SOX
kq/s
0.892
0.742
0.624
0.498
0.460
0.449
0.417
0.408
Emissions
Tons/Day
85
71
59
47
44
43
40
39
-------
342
TABLE G-2. POINT SOURCES IN THE NORTHERN GREAT PLAINS
IN 1986 THAT EMITTED MORE THAN 10,000 TONS
OF SO.. PER YEAR
Capacity
Source (MW)
Gerald Gentleman, NB 1300
Craig, CO 1520
Naughton, WY 1510*
Col strip, MT 2060t
Pawnee, CO 1000
Coal Creek, ND 1000
Wyodak, WY 660
American Natural Gas, ND 880
Coyote, ND 880
Jim Bridger, WY 2000
Dave Johnston, WY 750
Milton R. Young, ND 688
Ideal Basic Industries, CO
American Natural Gas, ND . --
Peoples Gas, ND
Exxon, MT
Stanton, ND 167
Lei and Olds, ND 650
Hayden, CO 430
Laramie River, WY 1500
Estimated SOx
kg/s
2.83
2.53
1.32
1.44
1.44
1.22
1.10
1.08
1.08
1.00
0.892
0.892
0.742
0.618
0.618
0.498
0.449
0.417
0.408
0.316
; Emissions
Tons/Day
270
240
126
137
137
116
105
103
103
95,
8~5
85
71
59
59
47
43
40
39
30
* Units 4 and 5 may not be built; equivalent units may be built in Utah.
t Units 3 and 4 (700 megawatts each) may not be constructed.
-------
343
TABLE 6-3. EMISSIONS PARAMETERS FOR THE HYPOTHETICAL
COPPER SMELTERS
Plant No.
8
9
Stack
Height
(ft]
626
500
360
515
550
Gas
Temperature
450
313
398'
500
500
Flow Rate
(acfm)
233,000
575,700
642,996
386,760
244,920
SOX Emissions
kg/s Tons/Day
4.17
2.93
0.51
1.74
4.75
397
279
2
3
4
5
6
7
600
605
605
300
600
255
- 290
544
532
400
530
360
241
400
325
330
365
.368
1,162,144
490,000
928,000
500,437
168,670
385,000
243,000
389,139
438,210
12.40
2.80
7.62
3.74
3.37
1.64
4.46
10.88
4.15
1181
267
726
356
321
156
425
1036
395
49
166
452
-------
344
t
200 h
o
c
100
TOO
4 AND 5
AND 3
200 300
x (km east)
400
FIGURE G-l. RELATIVE LOCATIONS OF THE HYPOTHETICAL COPPER SMELTERS
-------
/
/
345
fQ
S02 Category
0.91 1976 emissions
0.71 1986 emissions
0.65 New plants only
0.00 Copper smelters (hypothetical)
Although these are only approximate estimates, they are in line with those
given by the New Source Performance Standards and the total emissions
estimates.
b. Preparation of Meteorological Scenarios
In addition to the emissions inventories dicussed earlier, applica-
tion of the model requires meteorological and surface uptake .data. The
average winds in the mixing layer were computed from 850 millibar maps
(available every 12 hours) based on the geostrophic relationship. Wind
speeds and wind directions in the surface layer were obtained through
interpolation of surface measurements according to the rule of inverse
distance. Averaged afternoon mixing height data were derived from vertical
temperature soundings to define the top of the modeling region.
Both atmospheric turbulence and surface deposition rates are affected
by vegetation and ground cover. Vegetai-'on in the Northern Great Plains
was divided into six categories, and the surface roughness associated with
each vegetation type was estimated from experimental data compiled by
Sellers (1965). These data were used with the algorithm described earlier
to calculate surface deposition velocities for three-hour intervals during
the periods to be modeled. The calculated deposition velocities showed
considerable spatial variation and temporal variation: In general, these
velocities were lowest in the early morning and highest in the late after-
noon (Liu and Durran, 1977).
For the assessment of the impact of emissions in the Northern Great
Plains on long-range air quality and visibility, three meteorological
-------
346
pa-terns were selected. The selection was based on considerations of
n^eorological and air quality conditions of interest and data avail-
atrlity. Three cases probably represent typical situations for winter,
spring, and summer in that area.
Winter Case. The winter case used meteorological data for 27-31
January 1976. The 850 millibar weather map for 0500 MST 29 January 1976,
typical of this period, shows northwest winds of 21 m/s in Montana and
13 to 16 m/s in the Dakotas. These winds and the low mixing depths
occurring in winter produce conditions favorable for long-range transport.
Predicted S02 concentrations for 1976 emissions for 500 to 800 and 1700
to 2000 MST on 29 January 1976 are given in Figure G-2. Long-range trans-
port of air pollutants is quite evident in this case.
Spring Case. Unlike the winter case, the spring case (4-7 April 1976)
is favorable for the retention of pollutants within the Northern Great
Plains, with a stagnant high pressure system over the region. The resulting
winds in the mixing layer are light and variable. This scenario is
characterized by the^meandering of the plumes in the area.
Summer Case. A typical 850 millibar map for the summer case, 9-11
July 1975, is given in Figure G-3, which shows slow winds from the east
in Wyoming and moderate northwest winds in the Dakotas. Although the winds
are slower than in the strong-wind winter case, the mixing layer is rela-
tively thicker in the summer.
c. Specification of Chemical Rate Data
Oxidation of S02 to sulfate in the atmosphere can be accomplished via
homogeneous and heterogeneous processes. Gas phase reactions between SOp
and free radicals lead to the formation of sulfur trioxide (SOJ, which
dissolves in.water droplets and subsequently oxidizes to sulfate. The
rate-controlling reaction path depends on both the nature of the emissions
source (e.g., oil-fired versus coal-fired power plant) and the environment
(e.g., the presence of other reactive pollutants, the humidity, and the
-------
347
100 km
(a) 500-800 MST 29 January 1976
FIGURE G-2. SO? CONCENTRATIONS PREDICTED BY THE REGIONAL
AIR POLLUTION MODEL FOR THE WINTER CASE.
Isopleths at 2, 4, 8, ... pg/m^; numbers indi
cate maximum concentrations in plumes.
-------
348
(b) 1700-2000 MST 29 January 1976
FIGURE G-2 (Concluded)
-------
349
?'/; j t>^\ j \ / \i
]'%~?h»Wp \ I
^•^5M^
. A' /5(°*v \ ..»... rii569r \
v% /»^;
^OJHO-, .^ r
«\\ \ 1^575 *56 > \
^7\ v' N^.:A.
^ \ \ V L \ J
FIGURE G-3. 850 MILLIBAR WEATHER MAP FOR 500 MST ON 10 JULY 1975
-------
350
temperature). Overall conversion rates of SOp to sulfate in the atyios-
phere have been observed to vary widely, with a characteristic half-life
ranging from a few minutes to a few days. A review of these estimates
reveals that the overall conversion rates range between 1 and 13 percent
in humid or urban environments and from 0 to 3 percent in dry, nonurpan
environments. The lower range of the above estimates appears to be more
appropriate for the present application. We decided to use the following
three SOp-to-sulfate conversion rates:
Category
Low
Medium
High
Rate
(%/hr)
0.3
0.5
1.0
As discussed earlier, calculation of visual range from air quality
data requires both sulfate and N02 concentrations. Although the regional
air quality model described in Appendix F is general in nature, extension
of this model to include the photochemical formation of NOp would require
an effort beyond the original scope of this project. We thus took a
shortcut. '
We first calculated the NO concentration using the regional-scale
A
model, treating NO as an inert pollutant. The N0? concentration required
/\ t.
to calculate atmospheric discoloration was then obtained using the modified
steady-state approximation:
[N02] + \
1/2
- 4[NOx][03]
where k3 = 25 ppnf min" and [O.j] = 0.04 ppm. The temporally varying
is given in Figure G-4.
-------
0.60
0.55
0.50
0.45
0.40
0.35
0.30
0.25
0.20
0.15
0.10
0.05
0
9 12
Time of Day (hour)
15
18
21
OJ
en
24
FIGURE G-4. PHOTODISSOCIATION RATE CONSTANT TEMPORAL VARIATION
-------
352
2. ANALYSIS OF THE MODELING RESULTS
As shown in Table G-4, five computer simulations were made to examine
the effect of different emissions scenarios and meteorological patterns on
visibility in the Northern Great Plains. For all of these runs, an SOp-
to-sulfate conversion rate of 0.5 percent per hour was used. Two additional
computer runs were performed for the more i
nteresting case of April meteor-
ology and the hypothetical case of smelter emissions using the estimated
"high" (1 percent per hour) and "low" (0.3 percent per hour) conversion
rates for this area.
TABLE G-4. THE FIVE REGIONAL VISIBILITY MODEL SIMULATIONS
Emissions Scenario
Hypothetical Northern Great Northern Great
Meteorological Copper Smelter Plains Plains
Scenario Emissions 1976 Emissions 1986 Emissions
Spring (April) Run 1
Summer (July)
Winter
(January)
Run 6
Run 4 (1 %/hr)
Run 5 (0.3 %/hr)
Run 2
Run 3
Run 7
a. Hypothetical Copper Smelter Emissions, Assuming 0.5 Percent per
Hour Sulfate Formation, Using the Spring (April) Scenario
Figures G-5 through G-10 present the computer output for the hypothet-
ical copper smelter emission scenario with the assumption of 0.5 percent
per hour sulfate formation. These figures show computed isopleths for the
following for three-hour periods during the three-day simulation (using
April 1976 meteorological conditions):
-------
353
0-
o
o_
00
O.
4/>~
10
T-f-
10
20
20
30
40
50
60
70
80
go
100
no
30 40
(a)
50
60
70
60
90
Concentrations (ug/m )
too
110
. o
. o
<£'
*°
I CO
; .o
CNJ
x 10 km
FIGURE G-5. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1700-2000 MST OH
4 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
354
10
20 30
c>
«•
50 60 70 80
90
100 no
'.X ) /
• /'
v....
10 20 30 40 50 60 70 60
(b) SOT Concentrations (yg/m )
FIGURE G-5 (Continued)
90
100 110 • x 10 km
-------
355
JO
20
30
50
60
70
80 90
100
/ 30
.
'
. 1
-o
• 1
• i
" i
•
V
-
•
•
-
•
...L.'.-1— '---'ISO1 ..-!—'-...!...!...'.. ..'..'....•._* • • i i . . i '••••'-_:.;_ ' ' • • ',•»•;
/
i •
I '.
£•
f .
.•*' .••*'"'• ! !
\1^" ") .-••^--. ///"'""') \ 1
( J Vi:"': :
'*. '''
K
i -
(:
\
«••*""*"" "*"""*, m
10 20 30
\f>
50
60
70
80
90
100
110
x 10 km
(c) Visual Range (km)
FIGURE G-5 (Concluded)
-------
356
10
20
o.
OP
o.
CD
O.
U>
O.
I/)
30
50
60
70
60
90
100
10
30
40
50
60
70
60
90
100 110
. .o
o>
. .o
to
, .0
111
4
. .o
- .o
CO
. .o
-------
357
no
10 2° 30 «
x 10 km
(b) 30^ Concentrations (pg/m3)
FIGURE G-6 (Continued)
-------
358
04.
<0
s*
10
H-
20
30
50
60
70
80
90
100
110
"S
.
rS
10 20 30
-13P--,
!"'fr'«'t'"«"'*t*~| I
50 60 70 60
90
100
110
x 10 km
(c) Visual Range (km)
FIGURE G-6 (Concluded)
-------
359
!0
H-i
20 30
50
60
70
60
90
100 no
o.
CO
Si
OJ
wl
8J
_ ..• ••"_. \ •"..-•••"
rg
r£
-O
'J>
t .'.
r5
20
30
(a) S02 Concentrations (pg/m3)
FIGURE G-7. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1100-1400 MST
ON 5 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
x 10 km
-------
O-
o>
c.
CO
O-
kfi
O. .
tvi
!0
10
20
30
20
30
50
360
60
70
80
90
100
HO
. .o
ov
,--•1-
. .o
(O
. .o
' uv
50
60
70
60
90
100 no
x 10 km
•3
(b) SO^ Concentrations (yg/m )
FIGURE G-7 (Continued)
-------
361
10
20 30
50 60 70 60 90 100 110
o.
01
o.
00 "
o.
r-
!=• *->
o.
ifi
.
\ \
\ \
\ \
\ \
1 i
o. .
-O
or.
-o
03
-O
r-
.o
UJ
o
IT.
.O
w
o
m
8--'
o
[M
10 20 30 40 50 60 70 60
(c) Visual Range (km)
FIGURE G-7 (Concluded)
90 100 110
x 10 km
-------
362
10
20 30
50 60 70 60 90
no
60
90
100
no x 10 km
(a) S02 Concentrations (yg/m )
FIGURE G-8. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 2000-2300 MST
ON 5 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
363
10 20
30
OJ.
CD
40
H-
50
60 70 80 90
-------
364
pj.
10
10
20 30
I I l I I I I I I
40
50
60
70
80
90
100 . 110
J30-
20
30
40 50 60 70 60 90
100 110
X 1 0 km
(c) Visual Range (km)
FIGURE G-8 (Concluded)
-------
10
o.
o. .
to
o. .
L-,
O.
o. .
-------
366
1C
20
o. .
CO
o. .
-------
367
- \
. X.
10
20
30
60
70
90
100
!!0
rj
c
\-S
-•
r \ \ j v*v-
< O •' •: \V-,V
' CD ': V ••.'•.-,
_''•-.. '"'x "•••.."•••-.'—._ ""•
'i '•••-- •••- •-:;••-..:••;•
190
15 2° 30 « 50 60 70 60 90
(c) Visual Range (km)
100
110
*S
4-0
(C
:4-o
b-
x 10 km
FIGURE G-9 (Concluded)
-------
368
10 20
30
50 . 60
70
60
90
100
o_
f
o,
co
o.
IT)
O. .
'^:^..
-C
(T
e. .
I \
u
O
CO
10 20 30 40 50 60 70 60 90 100 110
\ 3
(a) S0? Concentrations (pg/m )
X 10 km
FIGURE 6-10. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1400-1700 MST
ON 6 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
10
o.
Ci
c.
r-
o.
tt>
SH
o.
w
OJ-
rg r
10
20
30
r4-
if
369
50
60 70 60 90
100 110
l i I , I . . ! . . I I
V-, >-.
20 30
I ' ' I-T'C 'Ml
40
50
60
70 eo
90
100 110
x 10 km
(b) SO^ Concentrations (pg/m3)
FIGURE G-10 (Continued)
-------
370
j0
20 30
40
50 60
70
80
90
100
"f "I rr^H —
'^N?
\
'i
•.
. i
', i
1 !
. t-*
to
' O
!
• \
. \
"*x
'•«. «^.
;
. .--•'
1 1 1 I 1 1 1 1
'> . / I .•• /'••)) . ;
' ! i / ///
•>•::: <,_..',V\ '*°J m\ • -
V/. -,--' X'\ '••-.. \\\ \
^-^-»-,>-- T\\\% . r
\\!-r^^x\^\ fe
\ ' \ ^--:x:-,;--i ^>,x.
\ \ -v^^^^
\ -•. ••..«•.. •-... •-.. --.'o.. •-.
\ '••-...•— ••...'••..>-."•-'• '•••..'••...'••-..
ve \ ••••...;-•-.;••• , . -••..;-•,. •••..
\? • --.. -•...-... -.. -•... -•.. :
'•••..) "'-•...""'•-'!'•••:. '"•••""•••.^0. '•
"""^:>:;x"f::;S;?5::-~ :
X^:;:;^-;3:||
'••.. \ ''•-.._.•••'!•'.•*
X^:
i.
• !•
t
i
10 20 30 40 50 60 70 60
(c) Visual Range (km)
FIGURE 6-10 (Concluded)
90
100 no
x 10 km
-------
371
o
> S(L concentrations (yg/m ) at isopleth intervals of
2, 4, 8, 16,....
o
> SO^ concentrations (yg/m ) at these same intervals.
> Visual range (km) at isopleth intervals of 16, 20, 30,....
(The axes are labeled in tens of kilometers.) The background concentration
of S0| is 1.5 yg/m , corresponding to a background visual range of 130 km.
Note the effect of the change in wind direction that occurred at the begin-
ning of 6 April 1976. The maximum values of [S02J occur near the sources,
whereas maximum [SO^] values and minimum visual ranges occur several hundred
kilometers from the sources.
b. Hypothetical Copper Smelter Emissions, Assuming 0.5 Percent per Hour
Sulfate Formation, Using the Summer (July) Scenario
Figures G-ll through G-16 show the results of the second simulation
(Run 2) for the hypothetical smelter emissions for the summer (July)
meteorological conditions. Note that the strong, steady, and generally
northerly winds used for this simulation result in the transport of SIX,
and SO^ to the south. Also, the concentrations of SO^ are much lower,
resulting in less visibility impairment than occurred in the April
scenario (Run 1), which had light and variable winds (stagnant conditions).
c. Hypothetical Copper Smelter Emissions, Assuming 0.5 Percent per
Hour Sulfate Formation, Using the Winter (January) Scenario
The winter (January) scenario results (Run 3) are presented in Figures
G-17 through G-22. Note that, as with the summer scenario, good ventila-
tion causes rapid transport and dilution of the hypothetical copper
smelter emissions; the calculated visibility impairment is much less than
that which occurred with the April stagnation scenario.
-------
10
o. .
CD
O. .
CO
o. .
c-
o. .
in
o.
o. .
en
20
10 20
30
50
r-h
372
60
70
80
90
T-H
100
r-hr
. . ,
V\\\.J j iiv
\V# (r< j \ ' ff ,
'•: f. "-fog / !: \\ '•'• \ \ '••• '••-
VMi%-v^^ "•..; \
////; /if. V't^\ / \ \
^^-' '-V/ji i \v • ....... - ,-, \ \
.' .• • .• •••!.i • . -.. „*• -.. f
.• /!' / v ------- •* .-• ' i
"-
. .
{ (
--,.__
30
40 50 60 70 60 90
(a) SOp Concentrations (yg/m )
100 110
-O
O)
-O
00
.o
r-
.o
CD
. .o
x 10 km
FIGURE G-ll. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1700-2000 MST
ON 9 JULY 1975 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
373
10
H-
20 30 $0 50
60
H-i
60 90 100 tin
I I . I I I M I I I I ! I I i. i .44-
"-, M
n •'
10 20 30 40 50 60 70 80 90
3
(b) SO^ Concentrations (yg/m )
.0
CO
rS
-s
.o
1/5
uo
«•
.O
m
100 i! 0
x 10 km
FIGURE 6-11 (Continued)
-------
374
10
20
30
50
60
70
60
SO
o_
01
o.
CD
O-
!»•
O-
(D
O.
Irt
O-
«r
o.
«n
o.
M
100
H-r
110
r
. .o
o
. .o
CO
. .o
c-
. .o
-------
375
o.
O)
o.
to
o.
r-
o.
(O
o.
U5
o.
o.
m
o.
(M
0.
10 20 30 40 50 60 70
. "•
•.
«.
•.
.
\
\
""-.
f" '*.
' 7 \
! '*••. '•-...
" '• V. ""••-.
' \
' \ '*-.. '* ,,
****v
.-••*"*"'•••, t.1% -'u
: V "\ L\ &
••-1} ^:/, %
A? ::;>?.•>...'•- ]
: "^-..^F l%^ 7
PNV\VM
i ill
; uliil ^
• /n" /I?
MI ' * / !
A •*^"~*--. ..' \ ' i j / .'
/ ^ .'*?,' - i'.'
! \ ( f" ''/ //,
\\\ .-' ///
\ \ \ ••-.....-••• _/v
"•H. "'~ ~
10 20 30 40 50 60 70
60 90 100 IIP
;
-
•
"
•
k fa '-
AfrA\
texm, :
f \ \\% 1 ^?-- :
. K\AW^ w,
>1\ '\W\\\\\
AJW !\\| "" \\ :
In i i \ ' v\ :
| ! | 1 :; \ \ \
/ \ \ \ 5 'v \ '''-, i
/ \ '•• )
\ \ ...-••' _. 4 ....;
•—..-• .^-""
'••. .-••'
i ' ' ~
80 90 100 iiO
5>
.0
00
.0
.0
to
.0
1/1
.0
.0
00
.0
CM
.0
X
x 10 km
O
(a) SOp Concentrations (yg/m )
FIGURE G-12. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 200-500 MST
ON 10 JULY 1975 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
376
10 20
-
•
•
•
•
30 «0 50 60 70 80 90 100 i:0
i V%- '
1 \ ' T
i \ \ \ :
} \j \ A ;
1 ( / A \ "
/•"""*< *-•-„•*" { ,' / \ *^._
1 ' ' *
':. •" '•. __.. — 2 ••—.—..-'
\ f ''*•-..._ ..-—""
\
\
10 20
30
50 60 70 60
100
x 10 km
(b) S(n Concentrations (yg/ip )
FIGURE G-12 (Continued)
-------
377
o .
Oi
o. .
-
o. .
<£>
O. .
lfi~
O. .
«<
o. .
<0
o. .
-------
378
O. .
00
O.
<£>
10
20
30
50
60
70
60
90
100
V,
fv
J\\V
/mi
ml
10
20
30
(a) SOp Concentrations (yg/m )
-O
en
-O
r-
-O
CD
x 10 km
FIGURE G-13.
HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1100-1400 MST
ON 10 JULY 1975 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
379
10
2P 3f *P 50 60 70 60 90 100 Jtn
o
( \ ;--.
I i i \
t • . *. "
«U '• : \
'. \ \ '•-.
{ • '• ''••••
\ \ «t '••
I \ \ \
\ X- '
i X- '>
\ \ \ \ (\
\ \ \ ^ \
TO \ 1 \
\ V i \
,- *. ' • . J
' \ "" i :
• i .* ,— . "
,' r\ ' i * '"
/ / \ '-' ,f i 5
/ .' ': •-' i •
,--••-... / / i / / i :
i ""*. Jl> *> 1 *• ,'
\ "" / i / i
': • f i i \ ' .
\ 1 : 1 i
*•• / •• ' \
10
20 30
50 60 70 60 SO 100 lio
x 10 km
(b) S0| Concentrations (yg/m3)
FIGURE G-13 (Continued)
-------
380
10
20 30
50
60
70
80
O gJ-
O. .
!•«•
O. .
(O
O. .
«•
90
r
•
/ ,^\
/ / / /SO,
100 i:
i I i i i .-:
10 20 30 40 50 60 70 60
(c) Visual Range (km)
90
100
_o
_o
CO
-O
r-
.0
(O
-O
in
LO
f
-O
m
10 km
FIGURE 6-13 (Concluded)
-------
10
20
r-h
o.
a,
o.
CO
o. .
o. . i
-------
382
10
o. .
a.
o. .
oo.
o. .
r*
o. .
o. .
m
o. .
CM
10
20
20
30
50
60
70
60
90
100
TV'--..
\J
30
50
60
70
60
90 100
_o
CO
-O
(D
.O
LI
x 10 km
(b) S0| Concentrations (ug/m )
FIGURE G-14 (Continued)
-------
383
0-
o>
Cl.
00
O.
r-
O.
(D
O.
U)
O.
x \ \ \ :
\ ~" f "V i N
i C>'-~. '•. •'. \ M 5
• ^T "-,.. \ \ V o ';
\ ? """"•--. r\ \ .-, '\ \ \ :
] ;. \ i j i / \ \ i ^
i i f* — ""'-. !. j 1 / .?> { *• i f1^'
•' — "^--. •' -•' f\J \ i I ••' •' ^3 • i •'' C1
/ / ~ i i .-•• .' •>• i
j' '-* .*' -' -'' -. -^ * I *• / •• i
I -...^ ..-• .- ,-' A V ' *'•• * .' .-•' / !
c~~-* .••^' «-'* .••" i ••' / .^j .,-•' ^ /
'•V-v-,-..,...!...!..,..^-, ,',,,,,./,/, /', , , , ./, t i , •;•"',/, ,-'',}, ,/, , ,.,,,. ,.,,,"
.0
ov
.0
00
.0
r-
.0
CO
-O
1S>
.0
-------
384
10
20
Hi
30
50
60
70
80
90
100
o. .
„
l\
&
'-\ 'v
%T n\\\
."( "" «J{ I iX •. V .. -• : .
/ i in f* "S^N J "" v., \
/ ..-••' /' . t \ ^\ \ \ "»
v\ \ \
\
A ^
it. i
' M (
^ KV
10 20 30 40 50 60 70 60 90
o
(a) S02 Concentrations (pg/m )
100
.O
UV
_o
m
.o
CM
x 10 km
FIGURE G-15. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 500-800 MST
ON 10 JULY 1975 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
385
O-
O>
O-
1
Oj
Ul
o.
«•
30 40 50 60 70
(b) S0= Concentrations
100
x 10 km
FIGURE G-15 (Continued)
-------
386
o.
OJ
o.
GO
O.
t-
O.
in
o.
CM
20
30
50
60
70
60
i \
90
100
iio
..._.- J30-
((
'•-«• ]-•*--'--•.->..]-.•->->.'"I- | • '-> ' [ ' ' ' ' | ""••" ' • [ ' ' ' • | '"'-I i •"-; ••' • i i':
10 20 30 40 50 60 70 60
(c) Visual Range (km)
90
100
110
. .O
CO
. .0
CM
x 10 km
FIGURE 6-15 (Concluded)
-------
o.
CD
O. .
*
o. .
i \ \
t— —- -/n • xuxx x \ \ \
,. • ! i
— -- .y / : ',
- _.•' .* ! •
10
20
30
50 60 70 80
(a) S02 Concentrations (yg/m )
90
100
-O
ov
-o
03
-O
b^
. .O
_o
to
-O
~(\l
x 10 km
FIGURE G-16. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1400-1700 MST
ON 10 JULY 1975 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
388
o.
01
o.
00
o.
r-
o.
.- i 1 I I I I I t I 1 1 1 1 t I I 1
10
20 30 40 50
60
70 60
90 ioo no
.0
CO
_o
r-
.o
(O
.o
cr>
_O
tsi
x 10 km
•3
(b) SO^ Concentrations (yg/m )
FIGURE G-16 (Continued)
-------
389
o.
Oj
O.
00
O. .
CD
o. .
"~- '•
O
\ \
90
I
10 20 30 40 50 60 70 60 90
(c) Visual Range (km)
100
100
y-s
.0
CM
x 10 km
FIGURE G-16 (Concluded)
-------
390
10
20 30
50 60
70
60 90 100 l.<0
x 10 km
(a) SOp Concentrations (yg/m )
FIGURE G-17. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1700-2000 MST
ON 27 JANUARY 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
o.
ll-l
391
20
SO
50
60 .70 80 90
100
H-r
O-
00
.o
Or
o.
to
-•1'
_o
t^
.0
(D
o.
00
.o
CO
. .0
10 20 30 40 50 60 70
(b) SO^ Concentrations
FIGURE G-17 (Continued)
60
3,
90
100 HO
x 10 km
-------
392
20 30
50
60
70
80
90
100 1:0
0.
en
o.
CO
o.
t-
o.
ID
O.
U)
O.
«*•
O.
m
o.
(M
O.
i ..__ _...,'-
.
..-*"""*' ,.'•"*
:' "•„ . * Q Q •-""" „.-"""'"» V 0 ' ,-•
' * "•. —1'" ..•"""*" -C-.M-™ -
"^^ / •-». - f ...--•"
/ — —3 ••-._...-—-'
/
; i
•
.
.••7~*i"~i" — l"*T~f • it*<»i'i*iiiiii ...t— *-T—i— T— f-r—r— i— i i i i i i i i i i !««_.,*— r"f*TT**T~T""
/V
..*'
,.••?' c ,.-•••'""......•
.**'
...-••"''...-"'...• "''-•-;.'.- / -
•""" .yy/ '•
••-"•'""' \ V^' •• O
^"•"'' -• "%" *" •
.••"'' ?
•-•"'" 'i
i
i
_ i
-""" ,-; f
I
™
:
•
.
.. .£
10 20 30 40 50 60 70 80 90 100 110
(c) Visual Range (km)
x 10 km
FIGURE G-17 (Concluded)
-------
393
20
o_
-------
'JS
o.
en
o.
CO
o.
r-
o
to
o
m
10
394
20 30 10 50 60 70 80 90 100
. .o
O)
. .o
00
. .o
to
. .o
tr
...'" . .o
-------
395
20 30
100
o.
CD
\
V N
40 50 60 70 60
(c) Visual Range (km)
10 km
FIGURE 6-18 (Concluded)
-------
396
x 10 km
(a) S02 Concentrations (ng/m )
FIGURt £-'19- HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1100-1400 MST
ON 28 JANUARY 1976 ASSUMING 0.5 PERCENT PER HOUR
SULFATE FORMATION
-------
397
OJ
Ull
O-
m
no
40 50 60 70 60
(b) SOJ Concentrations (yg/m3)
100
110
x 10 km
FIGURE G-19 (Continued)
-------
398
3
5° 6
80 9Q
,00
SJ
O-
«o
&
OJ
o
\ ~
.o
m
\
, , , , ,
\\
\\
••x A
10 20 30 40 50 60 70 80 80
(c) Visual Range (km)
FIGURE 6-19 (Concluded)
100
x 10 km
-------
399
10"
W% \"yx\\
k w* \ wx
10
;2o
30
40
50 60 70
(a) SOp Concentratio
so
90
100
ns
FIGURE 15-20.
*
HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 2000-2300 MST
ON 28 JANUARY 1976 ASSUMING 0.5 PERCENT PER HOUR
SULFATE FORMATION
x 10 km
-------
20 30
400
50
60
r-h
70 80 90
I I I I I I I I I i I ! I I I I
100
O.
in
o.
«M
I I I I I t I I I- I I I I I I I I I I I I I I I I I I I I I I I ,
10
20 30 40 50 6.0 70
80 90
(b) SOJ Concentrations (ug/m3)
100 110
x 10 km
FIGURE G-20 (Continued)
-------
401.
—T-T" 7*U-r--
10 20 30
c\
V\ ,/\ \ \
X \ '••-. I \ "•-.
\\\\\ \ \
\ \%\ Vx \ \
\ \ -1 \ *•• \ \ >,
V \\\ v, \
*fe \ \\ \\ \ c,
*\\ . \
H^
100 MI-:
(c) Visual Range (km)
FIGURE G-20 (Concluded)
-O
en
Lo
CO
Lo
r-
-O
(D
x 10 km
-------
402
1
2
3°
«0
50
60
70
80
90
100
04-
. i i 1 1 i 1 1 1 1 . r . . . . I . . . .T . . . .
S^
"*•^ -
\ "''*'•• ••^'**-.^ — .^ *. ~"~
-- V X--N x\ v\\ i
^'vSQ^^O^s^S, \\:
"-. 'tT'i".'"-.^. '~~~."~-' '••. Cf1 '••.
x\ "-^^--. "••--, } \\ -4 ''
^S. *x-V.«.^». '-. '••„.• -. '. *^
x Vxr€?^, " \ •
'•x -. 'VsiO^ » '
\ X-"%^o Vx
v v^, \ •••..
\ \ ':yiK\ \ '•• '
X X^iix \ \:
\ \ \V\v \ *
\ \ m * -
v-^s-i • \ -
', ••?.-.-•. •. -3c« \-
\ 1 •-.\--.\\ V-'X
\ \ W\\:
20 30 40 50 60 70 60 90 100 1)0
(a) SOp Concentrations (ug/m )
FIGURE G-21. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 500-800 MST
ON 29 JANUARY 1976 ASSUMING 0.5 PERCENT PER HOUR
SULFATE FORMATION
10.km
-------
403
O. .
(D
O. .
f
O .
cn
10
r-H
20
30
50
60
70
60
90
100
. o
ov
10 20 30 40 50 60 70 80 90
(b) SO^ Concentrations (ycj/m )
100
. .o
. .o
CM
x 10 km
FIGURE 6-21 (Continued)
-------
404
10
20
.O-
O.
'.*>'
0.
(M
30
SO
50
60
ToD"
70
rrb
' ' ' I ,| I I I I | I I I I | I I I I | I I I I | I I I I | I | | |
•'80
• 90
-
100
I I I I I l
10
20
30
50
60
70
60
(c) Visual Range (km)
90
-•-s
"i>
\ H
w. \ \ '••• ^
v\ \v /--•.. \ I
\\ \\\ \\.l
100 i;o
x 10 km
FIGURE G-21 (Concluded)
-------
405
20 30
50 60 70 60
.
100
-*-§;
*g
'•^O-'
-8-.-
X --..
20 30 40 50 60 70
(a) SO- Concentrations
80 90
*-H-
100
x 10 km
FIGURE G-22. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1400-1700 MST
ON 29 JANUARY 1976 ASSUMING 0.5 PERCENT PER HOUR
SULFATE FORMATION
-------
406
20 30
50 60
70 60 90 100 :'0
I ' I I I I I i I . I I i ! ! . I l ! i .-'r-r
s
Jo
:
0-
in ;
_ J-O
hs
-o
(M
10 20 30 40 50 60 70
(b) SO^ Concentrations (yg,
FIGURE G-22 (Continued)
60
.3,
x 10 km
-------
407
10
20 30
o. -•••.
•o
10
50
60 70 80 90
100
• 1'30 •'—
20
30
40
50 60
I ' I I I |
70
80
1=
li '-
,.---120 ••-
-O
rsi
100 110 'x 10 km
(c) Visual Range (km)
FIGURE G-22 (Concluded)
-------
408
d. --vt'chetical Copper Smelter Emissions, Assuming 1 Percent per
hcxr Sulfate Formation, Using the Spring (April) Scenario
Ff;.jr"es G-23 through G-28 present the results of a run (Run 4) designed
to test "ne sensitivity of calculated visual range to the 'assumed sulfate
format? zr rate. We used the spring (April) meteorological conditions and
assured ^ higher sulfate formation rate of 1 percent per hour. Note that
the visas' range is reduced to 40 km in this run, compared with the 60 km
mininum " T the previous simulation.
e. Hytcchetical Copper Smelter Emissions, Assuming 0.3 Percent per
Hour Sulfate Formation. Using the Spring (April) Scenario
To z:zmiplete the -set of runs using the hypothetical copper smelter S02
emissions. we assumed a low sulfate formation rate of 0.3 percent per hour.
The results of^this run (.Run 5) are presented in Figures G-29 through G-34.
Note that, as expected, the minimum visual range (70 km) is higher than
the visua" ranges calculated using, the higher sulfate formation rates.
f. Northern Great Plains 1975 Emissions, Assuming 0.5 Percent per
Hour Sulfate Formation, Using the Spring (April) Scenario
The results of the calculations with the 1975 emissions from the large
point sources in the Northern Great Plains are presented in Figures G-35
through G-40 for the spring (April) meteorological conditions. Note that
even with the stagnant meteorological conditions of this three-day period,
the minimum visual range is 120 km,, less than a 10 percent reduction from
the assumed background visual range of 130 km. The calculated NOp concen-
trations are displayed in parts per billion (ppb).
-------
5-
o.
CD
e.
CD
O.
If)
O.
e. .
409
10 20 30 40 50 60 70 60 90
I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I i I I I I I I I I
100 110
f
_____ 3
• * x-
i jfc-.---v ! ,! /j-;::s*:
Ofe£#£;S
III
' ' •'
| I I I I | I I I I | I I I I | I I I I | I I I I | I I I I.) I I I
11 ii
20 30
50 60
70
90
100 110
O
(a) S02 Concentrations (yg/m )
. .o
o>
i-
!lg
: .o
ID
.O
I
,' -°
r
x 10 km
FIGURE G-23. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1700-2000 MST
ON 4 APRIL 1976 ASSUMING 1 PERCENT PER HOUR SULFATE
FORMATION
-------
o.
01
o.
to
o. .
f-
o. .
ID
O. .
V)
O. .
(M
!0
10
20
r-H
30
50
410
60 70 80 90
100 110.
. .o
o>
. .o
. .o
20 30 40 50
I ' I ' I |
70 60
100 110
x 10 km
(b) SO^ Concentrations (yg/m )
FIGURE G-23 (Continued)
-------
411
IS
:20
30
H-
o4*
«D
OJ
Iftl
O.
*'
50
60
70
60
90
T+-
O'^i.-.^.'':'.'
~T~i~T7"v-T-T-r-i-i
10
2S>
30
40
50
60
70
60
90
100 110
100 110
a§
\
/lo
4-0
in
4-q
M-8
4-0
x 10 km
(c) Visual Range (km)
FIGURE 6-23 (Concluded)
-------
2T>
i i i r
o.
01
o.
CD
O.
r-
10
30
50
r4-
412
60
H-
70
60
H-
90
100 no
.A 1' •-—" ••,. •
_._••• £,—• g ....
"••-... ..-•' ?•; ..]
1 !7 ! /.-•' .-•<>•"'
'^^ZxiiZ**^'-::':^-.-
I /"/'" ''• -\ '\
. .o
20 30 40 50 60 70 60 90 100 110
10 km
•3
Ca) S02 Concentrations (yg/m )
FIGURE G-24. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 200-500 MST
OH 5 APRIL 1976 ASSUMING 1 PERCENT PER HOUR SULFATE
FORMATION
-------
o. . .'
10
20
413
30 40 50 60 70 60 90 100 !!C
20
(; ,-
1 \
I V
A' ,-'"
..A
o
o>
.o
00
-O
u>
. .o
.o
CM
30
40
50
60
70
60
too no
x 10 km
(b) SO^ Concentrations (yg/m )
FIGURE G-24 (Continued)
-------
414
O. L
cv
o. 1
CO
O-JT
o. .
m
ro
•o
1C 20 30
50 60 70 80 90 100 110
— 120
. .o
r-
. .o
GO
I I I ' ' ' | ' ' ' ' | ' ' ' ' | ' ' ' ' | ' ' ' ' | ' '
10 20 30 40 50 60 70 60 90 100 110 ' X 10 km
(c) Visual Range (km)
FIGURE G-24 (Concluded)
-------
415
20 20 30
• I l l i l I l l l l I
50
60
70
60
H-
90
100
110
—w-
i -
! /
i ;'
! ! .'
I I f '
I ! i i
«• r o i
\ \ (
i
V..
o
£7>
O
CO
o
r^
o
ID
O
in
. O
F-O
(M
10
20
30
40
50
60
70
60
90
100
110
x 10 km
(a) SO Concentrations (yg/m )
FIGURE G-25.
HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1100-1400 MST
ON 5 APRIL 1976 ASSUMING 1 PERCENT PER HOUR SULFATE
FORMATION
-------
416
o.
o.
03
O.
t~
o.
CD
O.
If)
0.
o.
\ \ :
CM ! f-J
'' I ''• i
*•-" ^ i \ \ 1 ..-•- •
- ,' / i \ i .,-,„ - ----- ,-•-
.' ! I '••. 'i < -.-, /'""""••. ••" .-•"" "
; / ^ i «*, \ \ "" — J o \__ } ._---"" !
• / [ \ \ '"'" V 4---4 •-- '-.- --•-""""") •
• / i i --,.. - •••.. • — ' -«-- / r
•i \ \ "-....._ "--X \ ___ \ "-' C" -: /' ./'
' "'•'. \ ''\ \ ..•••-' _.-— ?.• '"'...•- A i
: M ,—-... i \ ( --""""" L^~~ /:
/' ""' •* "'; j
\ ,—A.--" --•"••" / "
; \ ,'"' __-*-" — „.- '"' ~4
-— j.
'. I
• f
i
10 20 30 40 50 60 70 60 90 100 110
.0
o;
.0
CD
.O
r-
.0
CO
.0
Lit
.O
V
.0
CO
.0
r>j
.0
x 10 km
(b) SOT Concentrations (yg/m )
FIGURE G-25 (Continued)
-------
417
o.
O)
o.
CD
O.
I-
CO
O. :•
IT.
O
1C
20
30
50
60
70
80
90
100
110
'.90-
\ ..
.
\\\\ i i
-
"> AS///J.
...-•• •...-•• :\ ?.s. .••..• s
:&&^ ::••- /
' •"-""
.-
a {
'
10 20 30 40 50 60 70 60
(c) Visual Range (km)
90
100
no
. .0
«•
. .o
«n
x 10 km
FIGURE G-25 (Concluded)
-------
418
10
20 30
50 60 70 60
90
100 HO
i i i
.o.
CO
o.
r-
•o.
(C
. o.
to
.
\v\ ("
•:4
""••—._ " "~ ^--'"' .."•''
..-•" , .o
(M
10 20 30 40 50 60 70 60 90 100 110
.3%
x 10 km
(a) S02 Concentrations
FIGURE G-26. HYPOTHETICAL COPPER SMELTER ISOPLETHS TOR 2000-2300 MST
ON 5 APRIL 1976 ASSUMING 1 PERCENT PER HOUR SULFATE
FORMATION
-------
419
10
20
30
100 110
r -1 ---) \
"--8.
100 110
(b) S04 Concentrations (yg/m3)
x 10 km
FIGURE G-26 (Continued)
-------
420
O. i.
ox
o. .
r--
o. .
o.
o. .
»x
10
rrssfe:
20 30
50
60
70
80 90
100 110
TStr
10 20 30 40 50 60 70 60
(c) Visual Range (km)
90
100 110
•••"4- o
in
\ . .o
x 10 km
FIGURE G-26 (Concluded)
-------
421
.
o
a,
Ci
00
o
c^
o
(D
O
ID
O.
*•
O.
in
o.
rg
0.
i
5
;.
\
*
:
\
I
i
1
"'«.
!
~
i
i ••!• — '"
f
!
!
10
30
•, [f/f/,---. \\'"--^
\ iW>! i ; ••:. •: -•••.-•
'•. I • : ': \ O) '•. '• •'' r
\..' Vi 'i >! "V i i. / *i
\y\s>\ I / i (
\ \ \%V W\
\ .'•.! \Vv..''-.. '"••••. \%»# •
\(\v -'\\i,•--.... -••,\'K;
100 HO
x 10 km
(a) SOp Concentrations (ug/m )
FIGURE C-27. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 500-800 MST
ON 6 APRIL 1976 ASSUMING 1 PERCENT PER HOUR SULFATE
FORMATION
-------
422
o.
Oi
o.
do
o. .
o. .
o. .
IN
10
20
30
50
60
70
80
"'1..
90
100
110
. -O
I-
-z--
"••—.. , .o
. -O
c-
t> '•' f.
Si -o
'"' . .o
CM
20 30 40 50 60 70
60 90
100
10 km
(b) 507 Concentrations (yg/m )
FIGURE G-27 (Continued)
-------
423
20 30
40
50 60 70 60
90 100 ilC
i-'-'-J i...'i'jiH-i I-
g*
g-1-
£*
g
°
•••s
Si
::*o
S*
g*
OX
«M T
-O
<•>
«-<
10 20 30 40 50 60 70 60
(c) Visual Range (km)
o
FIGURE G-27 (Concluded)
SO 100 110
x 10 km
-------
o.
Oi
o.
CO
10
424
30
50
60
70
80
so
_u
rv
00 ;
, (o I
'*
I /"> \
\ \lrv\\
100
. ll I
• -J • ' I ' • ' • I • ' ' ' I ' ' ' ' I • ' ' ' I ' ' ' ' I ' ' ' ' I ' ' ' ' I ' ' ' ' I ! '
30
40
50
60
70
60
SO
100 110
. .o
x 10 km
(a) SCL Concentrcitions (ug/m )
FIGURE G-28. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1400-1700 MST
ON 6 APRIL 1976 ASSUMING 1 PERCENT PER HOUR SULFATE
FORMATION
-------
425
20 30 40 50 60 . 70 60 90 100 110
04.
•
"
-
f-
'
r
>•••*. ' \ ''• '\
\ \ --0 2 ) ! \ -
"'-•*•••.. ( / / \ :
'"--..""-•... \ i * \
*•-. .-'' •.. ''•. .-' - • \
\ ' ''--. "" — ' i \ i
.-. •-, \ \ /
>*, :••' '-••• '•'-. i \ '-'
• •-. ••. . •, i
\ \ \ '«, \ V \
•-.. M >.. \. \\ ^.,. :
\ «. '••. *'•-.. **• 's.
\ •-._ '-.. _ ••.. \ •-._ *••-._
"*• "• ''• **••. '"*•-«..•" **• .. '*-..
*', '; '"•. ''^, '"'• *''-\,
\ ''-•-. ""••••-,. ""-?.. '"•--... :
•-- — ..
""•••.. ''^-. ''••-
'"•-..-' '••-. ""-.^ "'•••.. ""•••..
\ \ >-,.. -»-,, ^..,.;-- -.,;v"x:
\ \ ••--,... --•... --....• •....."•••-,;>
'v> \ '"v '"••-.. '"'•••. '""•-\ v
s. \ --,. ••-,. -... •»
••• l X "-. '•-. !«
•--• x ••-. •••, /*
''"""' »J
\ '*• *' i
v '• • *•
\ '"• _.-•' :'
\ /' "
'••
v ..,-••' :
i
10
30
40
50
60
70
80
90
100
no ' x 10 km
3
(b) SOT Concentrations (pg/m )
FIGURE G-28 (Continued)
-------
426
20
30
I i i
o.
Oi
o.
CD
O.
O.
-------
20
30
OJ
0)1
OJ
«o 1
OJL
10
20 30
427
50
60
70
60 90
100 110
.-••" //// V ..7 '•-.--•
vv^.-r:;---.':--;:.'-
50 60 70 60 90 100 110
(a) SOp Concentrations (yg/m )
vJ-2
4-o
T m
*S
*S
x 10 km
FIGURE G-29. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1700-2000 MST
ON 4 APRIL 1976 ASSUMING 0.3 PERCENT PER HOUR SULFATE
FORMATION
-------
20
o.
Oi
o.
CD^
O-
CD
O. .
cn
o. .
ex
10
30
T-hr
50
428
60 70
60
90
20 30 40 50 60 70
80 90
O
(b) SO^ Concentrations (pg/m )
100 no
. .o
0.
. .o
Ifl
. .0
(O
. .o
OJ
100 110
x 10 km
FIGURE G-29 (Continued)
-------
429
O.
0>
O.
C--
§•-•
o.
-------
430
20
30
100 110
100
110
x 10 km
(a) SO* Concentrations (pg/m )
FIGURE 6-30. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 200-500 MST
ON 5 APRIL 1976 ASSUMING 0.3 PERCENT PER HOUR SULFATE
FORMATION
-------
o.
o>
431
20
TT
30
r-H
50
T-H
60
70
H-
60
90
100 110
o.
CD
. .o
03
O. .
r-
.o
r--
o. .
<0
-1 "•
. .O
(O
o .
rg
.o
-------
432
O- .
CD
8--'-
20
30
40
50
60
70
80
90
100 no
-U..
-130 •
*^ ,"*
s l
-O
en
.o
03
-O
r*
i-O
(D
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U5
-O
m
-o
CM
-130-
10 20 30 40 50 60 70 80
(c) Visual Range (km)
90
100 no
x 10 km
FIGURE G-30 (Concluded)
-------
433
110
10
x 10 km
(a) S02 Concentrations (yg/m )
FIGURE G-31. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 1100-1400 MST
ON 5 APRIL 1976 ASSUMING 0.3 PERCENT PER HOUR SULFATE
FORMATION
-------
o.
CV)
434
20 30 40 50 60 70 60 90 100 110
. -O
CD
. .o
tt)
. .o
OJ
10 20 30 40 50 60 70 60 90 100 110 x 10 km
(b) SO^ Concentrations (yg/rrr)
FIGURE 6-31 (Continued)
-------
435
OJ
«1
si
p>
si
:s
10
20
30
50 60
1.1..L.J I I I
70
60
90
100 110
•••s
10 20 30 « 50 60 70 60 90 100 110
(c) Visual Range (km)
4-o
x 10 km
FIGURE G-31 (Concluded)
-------
436
10
20
30
20 30
40 50 60 70
60 90
100 110
X 10 KIT1
(a) S02 Concentrations (yg/m3)
FIGURE G-32. HYPOTHETICAL COPPER SMELTER ISOPELTHS FOR 2000-2300 MST
ON 5 APRIL 1976 ASSUMING 0.3 PERCENT PER HOUR SULFATE
FORMATION
-------
10
20
O-
a,
Ci.
ID
o.
i^
o.
(D
O.
lf>
O. .
10
30
437
50
60
H-
70
r-h
80
"*"--.
90
r-hr-r
100 110
\;
30
40
50
60
70
60
90
100 110
. .o
O)
. .o
r-
. .o
03
-+S
. .o
x 10 km
(b) SO^ Concentrations (yg/m )
FIGURE G-32 (Continued)
-------
438
10
20
30
50
60
70
80
04..-'
r-
o. .;
. .0
~CD
. .O
P-
J -O
3 »
10 20 30 40 50 60 70 60
(c) Visual Range (km)
90
r-p-rr-ri i
too no
A-°
x 10 km
FIGURE G-32 (Concluded)
-------
439
10 20
60 70 SO 90
10
20
90
100 110
30 40 50 60 70 60
(a) SOo Concentrations (u
FIGURE 6-33. HYPOTHETICAL COPPER SMELTER ISOPLETHS FOR 500-800 MST
ON 6 APRIL 1976 ASSUMING 0.3 PERCENT PER HOUR SULFATE
FORMATION
x 10 km
-------
o. ,
r-
O'. .
<£>'
20
r+r
30
440
40
T-f-
50
60 70
80
T-f-
90
H-
100 !!0
! • ( \
\ • '• ;'
\ X-A/ (
r---.,. V, *
i '* l
\ ....__ . /
'• i "*'f. \
'<•-.
. -O
00
. .0
r-
. ..a
CD
. .o
10 20 30 40 50 60 70 60 90 100 110 x 10 km
_ ~J
(b) SO^ Concentrations (yg/m )
FIGURE G-33 (Continued)
-------
441
o.
CO
Si
Si
°H
*1
oJ
col
20
T-H
30
50 60
70 80 90 100 i!0
J J
*t*"i j j i i -t"'T"i' i
JO 20
30
\»/ 1(111
\ -. '-. ' !'9J!-i
[
, %
y
:;
100 110
(c) Visual Range (km)
x 10 km
FIGURE G-33 (Concluded)
-------
442
10
20
30
40 50
60
70
SO
90
100
no
"'. *\ "•- '•. :
"• •"'*. V^Q '• ' • '
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< \ \ X., \ :
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5-N. 'v;::;x. .r-V;X':\\ '\ "••-.. '' "•^"••- '''••••• ''• •
V-)l '•••.-^'•:-.-'^f'\ ''"--fe':-'. V'.f-""'f . ~~'"~"'.' "-••.''":.. ': -
'•'••?• \-\ ' ' — ••.. ';i^^C ••-." >-^v. *-'" ""'•--.."" •••'£ •- ... '
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'^1 '*• '*. '••» **'-» '""'- ''"V ''••. '• V
-------
443
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20 30 40 50 60 70 60 90 100 110
\ \ \ \ \ \
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it •
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o
'<£
O
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.0
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-------
444
10
•FT
o.
Vi
ell
10
30
50
T4-
60
\00 "
*
70
/ci// /
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90
r-h
100
110
'
I i t j ijiiiiijiiiiii
20 30 40 50 60 70 60
(c) Visual Range (km)
80
100 110
-O
Ift
x 10 km
FIGURE G-34 (Concluded)
-------
445
o. .
«£>
O. .
10
H-
.7--.
\ -.„
20
30
40 50
MBNTRNfl
-1'
HY0H1NG
r\
so
I I I I I I
N DRK0TFI
70
S DflKflTH
NEBRASKA
CBLf
90
100 i i o
..-7--
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o
0}
. .0
I-
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U)
10
20 30
50
60
70
60
90
100 no
x 10 km
(a) S02 Concentrations (y'g/m )
FIGURE G-35. 1975 NORTHERN GREAT PLAINS ISOPLETHS FOR 1700-2000 MST
ON 4 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
446
20
30
50 60
70
80 90
100
s-
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r~"\
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'• '" — """ ..••" '
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10
20 30 40 50 60 70 80 SO
100
10 km
(b) NOp Concentrations (ppb)
FIGURE G-35 (Continued)
-------
447
20 30
50 60
o- .
a,
o. .
00
o. .
in
O. .
o. .
o. .
CNJ
M0NTRNR
HY0HING
N ORK8TR
S DftKflTfl
NEBRftSKH
CBL',, RDQ
-I-
80
H-
90
H-
•4-
ID 20 30 40 50 60 70 60 90
O
(c) SO^ Concentrations (yg/m )
100
"
i ;n
-O
en
. .o
C--
100 110
x 10 km
FIGURE G-35 (Continued)
-------
448
o.
o>
c.
CD
g-
0.
CD
O.
Vi
O.
--,-'TTT"',^
60 It
N ORKBTfl
S DflKBT*
NEBftftSKfl
CBLBRRDB
1 80 90 100 !
1
\
\
V^— «s.
^»>
„...'"" ' "-•%.
•?/"*
in
\
/'
f
I
V
r
I
1
f
\
^
V.
...,.
/;
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/:
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\ '
i. .
\
'.7
-
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/
cr
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t | .
1 -
S|:
\-
I
._..„.._*
.0
o
.0
CO
.0
.0
I&
.0
.0
-------
449
o.
i
1 .O
x 10 km
FIGURE G-36. 1975 NORTHERN GREAT PLAINS ISOPLETHS FOR 200-500 MST
ON 5 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR
SULFATE FORMATION
-------
450
10
10 50 60 70 60 90
100
x 10 km
(b) N02 Concentrations (ppb)
FIGURE G-36 (Continued)
-------
451
o.
00
O. -
CD '
o. .;
in
o. .
o. .
rvj
20 ' 30 40 50 60 70 80 90 100 1!0
M0NTRNR
MT0HING
N DRKBTfl
S DfiKflTfl
NEBRflSKfi
CBL6RRDB
I | I ' I ' I ' ' ' ' I ' ' I I | I I I I | I I I I | I I I I || I I I I | I I I I |
10 20 30 40 50 60 70 60 90
(c) SO^ Concentrations (ug/m )
. .o
0>
( :.
100 no • x 10 km
FIGURE G-36 (Continued)
-------
452
20 30 40 50 60 70 80 90 100 ii>
o.
00
o.
r-
o>"
o.
o.
«•
o.
en
p.
0
M0NTHNR
• :
' 1
S
[I . HY0HING
'•
(
f
\
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!
.
O
•^ ' -tr
•
i i i i i i
1 1 It 1 1 I 1 1 1 '..^^ ' ' - ' \ljlfl.: '•'>»• ' ' _
N DRK0TR . \
\ ;
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J
\ :
S DflKBTfi / a '.
S ;
-
r~
1
1
V
C8L0RROB 1
. 13D--. i
.......
10 20 30 40 50 60 70 60 90 100 110
(d) Visual Range (km)
x }Q
FIGURE G-36 (Concluded)
-------
453
10
.10 20 30 40 50 60 70 60 90
100
no
x 10 km
(a) S02 Concentrations (yg/m )
FIGURE G-37. 1975 NORTHERN GREAT PLAINS ISOPLETHS FOR 1100-1400 MST
ON 5 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
454
10 20 30 40 50 60 70 80 90 100
o.
ov
o.
CD
O.
f-
o.
0.
Vi
o.
•r
o.
o.
eg
o.
! MBNTflN'R
;
; \
I 'i
: t i * •
•.. *
'. _ WY0HING
i \
i '•-._
\ '*•.
*••
""" ""\. \
r\
u
r\
N DHKBTR \ '.
'.
\
\
t.
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'•:J ' •
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\ V
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S OftKBTH '"•-... ''--, (-'' !
;
.
.
-
•
i
I :
NEBRftSKfi V^r v \ '.
(
^v
\ -
o \
CBLBRRDB 1
10 -20 30 40 SO 60 70 60 90 100 110
(b) N(L Concentrations (ppb)
x 10 km
FIGURE G-37 (Continued)
-------
o. .
a,
o. .
co
o4- '••
_\
100 110
x 10 km
FIGURE G-37 (Continued)
-------
456
o.
o.
CO
o.
r-
o.
ID
0.
in
o.
w
o.
en
Q_
«x
o.
10 20 30 40 50
'. HBNTRNfl
-
•
4
i
p
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w*
'! HYBHING
f
.
'
•
"i
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. i
p i.
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S (\
i ""'
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60 70 60 90 100 !!0
\ .•:
N DflKBTR \ ;
'
\ :
\ :
i
:
-
\ :
•
S DflK0Tfi / "
\
X
i
;
i_
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4
/ -
NEBRftSKfl ^'^^"V. L "
V.
1 .
\ .
y
CBLBRflDB ,1
i"
; .
J
.0
en
.0
00
.0
^
.0
-------
457
O.
00
O.
~
10
20
30
50
l ..I I I l..
HdNTBNA
\ A
I ((
60
I I I I I I
.,N DfiKBTfl
'""1 ••-.
70
80
TT+-
90
100
S DflKBTft.-.,
'" 1 -. .--''
CBL0P .10
10 20
30
40 50 60 70
60
90
100
110
(a)
Concentrations
. .o
01
. .o
CO
. .o
l/>
x 10 km
FIGURE G-38. 1975 NORTHERN GREAT PLAINS ISOPLETHS FOR 2000-2300 MST
ON 5 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
458
o.
01
O-
00
o.
0.
to
o.
IS1
o.
W
o.
tn
o.
fM
10
•
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X
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i 1 i 1
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0 40 50
WBflTHNR
« „..
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V f'
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I
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0 40 50
60 7f
N DRK0TR
i
/ j
.-' 1
A'"" '
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r\
\ \
i i i i l i r.
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) 80 90 100 iiO
1 ' ' ' ' ' ' ' ' ' ' '-fcii^^ \- -•.
--...
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i 60 90 100 iiO
.0
01
. o
CD
.0
.O
-O
.0
.0
.0
"M
.O
X
(b) NOp Concentrations (ppb)
FIGURE G-38 (Continued)
x 10 km
-------
459
O. .
in
o. :
10
20
30
40 50 60 70 80 90
100
H0N7RNR
HY0HING
N DPK07F1
S DfiKflTfi
NEBRASKA
CBLP.tlDB
10
20 30 40 50 60
. .o
CO
60 90 100 110
x 10 km
(c) SO^ Concentrations (yg/m )
FIGURE G-38 (Continued)
-------
460
o.
O)
o.
03
o.
CO
o. .
in
o.
CO
o.
CM
10
20 30 40 50 60 70 60 90 100
HBNTflNR
HY0HING
N DflKBTR
S DflKBTfl
NEBRfiSKfi
CBLBRflDB
. .0
Oi
. .o
CO
. .o
-------
461
30
50
60
70
80
90
I I 4—
o.
-O
03
,o
1C
10
20 30 40 50
60
70 60
90
100 110
x 10 km
•J
(a) SOp Concentrations (yg/m )
FIGURE 6-39. 1975 NORTHERN GREAT PLAINS ISOPLETHS FOR 500-800 MST
ON 6 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
462
20
30
inn
10 20
30
40 50 60 70 60 90
(b) N02 Concentrations (ppb)
FIGURE G-39 (Continued)
x 10 km
-------
463
o. .
(O
o. .
tn
o. .
«•
o. .
10
10 20
30
H-
50
I I I I i
MDNTRNfl
HT0HING
60
70 80
N DRKOTfl
S DftKflTH
NEBRASKA
CBLBf.nDB
TV' -•-,,
10 20 30 40
90
H-
50
60 70 60 90
100 !!0
-O
r-
_o
LI
100 110
x 10 km
(c) SCL Concentrations (pg/m )
FIGURE G-39 (Continued)
-------
464
g*
s--;
§11
10
20
30
40
50
60
70
MBNTRNfl
HY0HING
N DRK0TR
S OfiK0Tfl
NEBRfiSKfi
CBL0RHDB
—
"
80 90
i i .Lm.i.1.
100
rrrstn-
^^^^^••j" ^^^^^^^^^^±^^^^^^^^^^^^^^j^^^^^^^^^^^^^^^^^^^^^^^^i lltii
10 20 30 40 50 60 70 80
(d) Visual Range (km)
90
_\
/
100 liu
. .0
01
. .o
00
. -O
to
. .o
If I
x 10 km
FIGURE G-39 (Concluded)
-------
465
10
10
20
60 70 60 90
20 30 40 50 60 70 60 90 100 110
•3
(a) SOp Concentrations (yg/m )
x 10.km
FIGURE G-40. 1975 NORTHERN GREAT PLAINS ISOPLETHS FOR 1400-1700 MST
ON 6 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
466
10 20
30
50 60 70 80 90 100
! ""••-._ M0NTRNR
\
\
: \ \
\ *;
*-..-•—
! HY0MING
*""**•.
• \ "v
\ \
N
r-v /*•«..
\ \ '•• I
10 20 50 40 50
N DRKBTR ; /' ' \ \ \ J;
V / '•. 1 .!:
\ ': i "'""' ./ *1 JJ
1 L
\ • ^ l~
S DfiKflTfl / ]j
V -•'-•=
-v Jl ^
! -:i
1 L
i,
?~~i"
NEBRfiSKft ^ta-^^V. ( JL=.
v; •
C8LBRRDB fi~-
1
60 70 80 SO 100 !!0 ' X 10 km
(b) NOp Concentrations (ppb)
FIGURE 6-40 (Continued)
-------
467
10 20
I I I I I I I
O-L
<0 T
0
-------
468
10
o.
o. .
V3
o. . \
CD
O
• I
o. . i
20 30
50 60 70 60 90 100 !!0
M0NTRNR
HYBHiNG
N OOK0TR ;
S DHKI3TH
NEBRfiSK'fl
C0L0RRDB
7l3Q~r-i • i—I-T--,--r~r~r i'~
10 20 30
40 50 60 70 60
(d) Visual Range (km)
90 100 110 X 10 km
FIGURE G-40 (Concluded)
-------
469
g. Northern Great Plains 1975 Emissions, Assuming 0.5 Percent per
Hour Sulfate Formation, Using the Spring (April) Scenario
The final group of simulations (Run 7), as shown in Figures G-41
through G-46, shows the impact of projected 1986 point source emissions
assuming the stagnant meteorological conditions of the three-day April
1976 simulation period. Note that visibility impairment is increased as
a result of the projected region-wide SCL emissions rate of nearly 2000
tons per day. The minimum visual range is 100 km, about a 25.percent
reduction from the 130 km background value.
-------
g-
:o
10
20
30
40 50
MBNTRNfl
-T, •
470
\\ \\
60 70 60 90
N DRK0TR
100 no
-•"""*'.
S DfiKflTfi
NEBRRSKfi
CBLBRRDB
20
SO
60
70
60 - 90
•3
(a) SOp Concentrations (yg/m )
100
. .0
o>
''''''' '
110
. .o
t^
. .o
(D
. .O
IT>
x 10 km
FIGURE G-41. 1986 NORTHERN GREAT PLAINS ISOPLETHS FOR 1700-2000 MST
ON 4 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
471
10 20 SO 40 50 60 70 80 90
100
8-
o.
_ t..-- \ • ••£ •••' _....-
! '•-....-^— • '"• — ""
: 0 /ffiOSS^
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Q
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10 . 20 30 40 50 60 70 60 90 100
(b) N02 Concentrations (ppb)
FIGURE G-41 (Continued)
x 10 km
-------
472
o. .
CD
O. .
CD
O. .
in
o. .
€M
10
20
H-i
30
H-
40 50 60 70 80 90
H8NTRNFI
HT0HING
100
1 in
N DfiKBTR
S OflKBTH
NEBRRSKA
C8LBRRD0
C- 2
10 20 30 40 50 60
70
60 - 90
100 110
. .0
ov
10 km
•j
(c) SO^ Concentrations (yg/m )
FIGURE G-41 (Continued)
-------
473
10
20
30
10
50
60
70
60
90
si
Cu
-o
04
ml
oj
«1
OJ
«x]
.---•-•-•'-• '13
M0NTRNPI
WY0HING
100
l l l.i
-130' ""•
N DBK0TO
S OftKBTfl
NEBRflSKfi
I I J I I
COLBRRDB
-\30 ;,.'~~~~"~
\lo
4-o
Tin
10 2b 3b «o so eb ?b eb so ibo lio x 10 km
(d) Visual Range (km)
FIGURE G-41 (Concluded)
-------
474
10 2Q 30 40 50 60 70 80 90 100 110
o. .
(M
.:) \
10
HBNTflNfl
j ;*~F '•
\ \ \ \
'
N DflKBTfl
,
H\
NEBRfiSKH
;>:i) "'-•-....._ jgjjJtjrBRRDB
-O
ov
-o
CO
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[^
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(£1
-O
u->
-O
w
.o
CO
.o
r>j
20 30 40 50 60 70 60
90
100 110
x 10 km
(a) SCL Concentrations (yg/m )
FIGURE 6-42. 1986 NORTHERN GREAT PLAINS ISOPLETHS FOR 200-500 MST
ON 5 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR
SUI.FATE FORMATION
-------
475
10
20
30
50
60
70
60
90
100
o.
en
o.
00
o.
r*
o.
(
'"•'•- > '-v,. > ,/j :
••:::•• ~" ..-"' j
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'f'^ ''-~r "-. -'"'' "' 1 .-"'"'.
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/
S DflKflTfl \ f. .. r' I
-•'-"i ! "••-...-..'' V
<:.-'• / ^
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\
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NEBRflSKfl ._ Vc^^-x, f ;
^-'~*~'L J^\
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v
\
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1
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.0
_
'co
0
.0
03
O
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.0
to
.0
.0
10 20 30 40 50 60 70 60 90 100 iiO X 10 km
(b) N02 Concentrations (ppb)
FIGURE 6-42 (Continued)
-------
o.
o>
8-
o.
t-
o. .'
Vi '
O. .
CM
476
20 30 40 50 60 70 60 90 100 !10
MBNTflNR
HY0MING
N DRKBTfl
S OflKflTft
NEBRASKA
C
Vw
CBLBRflOB
Oi
4-°
CD
10 20 30 40 50 60 70 60 90 100 110
(c) SOT Concentrations (vg/m )
. .0
. .0
if,
x 10 km
FIGURE 6-42 (Continued)
-------
477
10 20 30 40 50 60 70 80 90 100 110
o.
o.
CD
O.
r-
o.
<£>
0.
ID
o.
s-
<"•
; M0NTRNR
7
^
£
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I HY8HING
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I
•
•
\
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t "
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4
\
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;
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^•••••H
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a
.0
03
.0
p-
.0
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.0
.0
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j
a
10 20 30 40 50 60 70 60
(d) Visual Range (km)
90 100 110
x 10 km
FIGURE G-42 (Concluded)
-------
478
10
o. .
a
O. .
CD
O. .
«^
g--
20 30 40 50
MBNTflNR
7
60 70
N DfiKBTfl
60 90
100
- -O
en
. .o
T r~
70
60
90
100
110
'x 10 km
(a) SCL Concentrations (yg/m )
FIGURE G-43. 1986 NORTHERN GREAT PLAINS ISOPLETHS FOR 1100-1400 MST
ON 5 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
479
o.
. { !
j-,__ ••-» V
10 20 30 40 50 60 70 60 90 100 !JO
'(b) NCL Concentrations (ppb)
x 10 km
FIGURE G-43 (Continued)
-------
480
o.
0.
o.
OD
O.
O.
O.
w
o.
en
o.
IN
o.
1C
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. /' '\
/ \
y \
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\
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•
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•
10
20 30 40 50
MBNTfiNR
'•'-.*:
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\ ''
1 I1*"1
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\l \ ri
KY0MING
..
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20 30 40 50
/ _ \ OA= ^*^«
60 7C
N DflKBTf)
/
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c fiDK^Tw
w unr%B i ri
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f ->
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.0
.O
rsi
.0
X
(c) SCn Concentrations
FIGURE G-43 (Continued)
x 10 km
-------
481
O. r
o. .;'
O. j
IS)
O.
o. .
-------
482
10
100
110
60 70 60 90
x 10 km
(a) S02 Concentrations (wg/m )
FIGURE G-44. 1986 NORTHERN GREAT PLAINS ISOPLETHS FOR 2000-2300 MST
ON 5 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
483
10
20
30 40 50 60
70 60
90 100
O-
o>
o.
CD
O.
O.
.. V \ '. <; \ \ •, l.
H \ ) '• V ' >! \ •'. 'it*
1 " \ \ \ ''- \ \ "'
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,111111 I I I I I I I I I I I J__L..L.1-.1.-.J, . ...-,.......,..
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•^•- \ \ \ \. ;
.0
.0
CO
.0
'(£>
.0
lf>
o
o
0
CM
-0
10 20 30 40 50 60 70 60
(b) NO Concentrations (ppb)
90
100
x 10 km
FIGURE G-44 (Continued)
-------
10
•111 . .1 I'
•—•. i
20
30
c.
CO
o.
j
\ \J
50
HBNTflNR
HYBHING
484
60 70
N DRK0TR
60
90
100
i i n
/
rsj
5 DHK0TH
'-2 -..
CBL0RRD0
10 20
30
40 50 60 70
. .o
CO
. .o
r-
. .o
03
1 I ' ' ' ' I ' ' ' ' I ' ' ' ' I ! ' ' '
eo 90 100 no x 10 km
(c) SO^ Concentrations (pg/m )
FIGURE G-44 (Continued)
-------
485
1C
20
o.
Oi
O.
r-
o.
-------
486
10
20
30
40
10
20
30 40 50 60 70 80 90 100 110
(a) SO, Concentrations
x 10 km
FIGURE 6-45. 1986 NORTHERN GREAT PLAINS ISOPLETHS FOR 500-800 MST
ON 6 APRIL 1976 ASSUMING 0.5 PERCENT PER HOUR SULFATE
FORMATION
-------
487
10
20 30 40 50
60 70
60
90 100
o.
a,
o.
OB
O.
O.
N"\ 1
vO-^t^\\\\ \
\ '""'"" A/ / 1 :
i / / -
\ / / I -
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v . j •-.,.
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\ \ i \ x> ' -
•i ! "•••• V-
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> i- ^^ ^*-S :
V;
v
CBLBRRDB U
10 20 30 40 50 60 70 60 90
(b) N02 Concentrations (ppb)
100
x 10 km
FIGURE G-45 (Continued)
-------
o.
CD
OJ-
co T
OJ
oil
10
10
488
20
30
H-1
50
60
70
M0NTRNR
HY0HJNG
80 90
I I I 1 I I I
N CflKBTO
S DfihtJTf)
NEBRASKA
CBL0RRDB
!\
SO
40
50
60
70
90
_ T
(c) SOT Concentrations (yg/m )
100
-O
o>
.0
00
.O
r~
k<=>
h(C
,----4.0
*
100
x 10 km
FIGURE G-45 (Continued)
-------
489
O-
O)
o.
03
ci-
te
20
30 40
50
60
70
60
90
A
H0NTPNH'
n \
A \
HTBHING
'. \
S DflKSTH
NEBRASKA
4-
4-
C8LBRRD0
V
'••. o
4-
100
•1'30 •*•-
HO
10 20 30 40 SO 60 70 60
(d) Visual Range (km)
. .o
Oi
. .o
CD
. .o
(O
. ,o
in
100
no x 10 km
FIGURE 6-45 (Concluded)
-------
O. .
o. .
«D
O. .
r*
o. .
-------
491
10
20
30
40
50
60
70
80
90
100
o.
0V
Ci.
CO
o.
r*
o.
O.
«r
o.
o.
rg
I '-, HBNTRNH
\ \
"» r'
; \ \
.
V ''••
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\ ;
'. HTBHING
: rx
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; \ x \ \
*• *'• \ i
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-/ \\ -|i
(\ ! \ . ( i-
u r^J \ ]
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i
II •:
s 1
NEBRfiSKfl ^^^X. I -S-:
\1'
\ -1=
i JTr
Si
CBLBRHDB lj~-
1
10 20 30 40 50 60 70 60 90
(b) N02 Concentrations (ppb)
100
110
x 10 km
FIGURE G-46 (Continued)
-------
492
o.
c.
o
0.
c^
o.
\
•
: \ \
: \ *
:
•
••j
20 30 40 50
MBNTRNfi
}
i
'.
~m*~
HT0HING
.*
t • 1 1 1 I 1 1 1 — »~T~V 1 1 1 1 1 I I
60 7(
N DRK0TR
:,
\
'•
S DfiKflTH
NEBRftSKfl
C0L0RAD0
3 80 90 100 HO
r .. ^ ..........
\ I
J \
v./ 1
\
)
V
,
*
•
-
•
•
•
•
^•^^MM
,
\
!
.0
.0
CO
.0
.0
(O
.0
IT;
O
W
O
m
o.
CM
•°
10 20 30 40 50 60 70 60 90 100 HO
(c) SO^ Concentrations (yg/m )
FIGURE G-46 (Continued)
x 10 km
-------
493
10
20
30
40
o. .
.
f I t 1
HYBHING
60 70 60 90 100 110
N DfiKBffl ! \ \. \ \
' i v ''•• \ '••.
/ i x ;•• \
. ••••-'
S DftKBTfl
CBLBRRDC
I I I I t I I I i J...* -I I < •*j'* I I t I t t I |lKM'1"*i '
10 20 30 40 50 60 70 60 90 100 110 X 10 km
(d) Visuaf Range (km)
FIGURE G-46 (Concluded)
-------
494
TECHNICAL REPORT DATA
(i'lrasc read JuWnctiuns un II •• rrrmi- be/arc c
1. REPORT NO.
EPA-450/3-78-110a,b,c
2.
3. RECIPIENT'S ACCESSION NO.
4. TITLE AND SUBTITLE
THE DEVELOPMENT OF MATHEMATICAL MODELS FOR THE
•PREDICTION OF ANTHROPOGENIC VISIBILITY IMPAIRMENT'
5. REPORT DATE
November 1978
6. PERFORMING ORGANIZATION CODE
7. AUTHOR(S)
D. A. Latimer, R. W. Bergstrom, S. R. Hayes, M. K. Liu,
J. H. Seinfeld, G. Z. Written, M. A. Hojcik, M.O. Hillye
8. PERFORMING ORGANIZATION REPORT NO.
EF78-68A,B,C
9. PERFORMING ORGANIZATION NAME AND ADDRESS
Systems Applications, Incorporated
950 Northgate Drive
San Rafael, California 94903
10. PROGRAM ELEMENT NO.
11. CONTRACT/GRANT NO.
EPA 68-01-3947. and 68-02-2593
2. SPONSORING AGENCY NAME AND ADDRESS
U. S. Environmental Protection Agency
Waterside Mall
401 M Street, S.W.
Washington. D.C. 20460
13. TYPE OF REPORT AND PERIOD COVERED
Final Report: 10/77 to 9/78
14. SPONSORING AGENCY CODE
EPA-OPE/OAQPS
5. SUPPLEMENTARY NOTES
6. ABSTRACT
This report describes a nine-month study to recommend and develop models that pre-
dict the contribution of man-made air pollution to visibility impairment in federal
Class I areas. Two models were developed. A near-source plume model based on a
Gaussian formulation was designed to compute the impact of a plume on visual range
and atmospheric coloration. A regional model was designed to calculate pollutant
concentrations and visibility impairment resulting from emissions from multiple
sources within a region with a spatial scale of 1000 km and a temporal scale of
several days. The objective of this effort was to develop models that are useful
predictive tools for making policy and regulatory decisions, for evaluating the
impacts of proposed new sources, and for determining the amount of emissions reduc-
tion required from existing sources, as mandated by the Clean Air Act Amendments
of 1977. Volume I of this report contains the main text; Volume II contains the
appendices; Volume III presents case studies of power plant plume visual impact for
a variety of emission, meteorological, and ambient background scenarios.
KEY WORDS AND DOCUMENT ANALYSIS
DESCRIPTORS
b.lOENTIFIERS/OPEN ENDED TERMS
c. COSATI field/Group
Air quality modeling
Visual range
Atmospheric discoloration
Power plants
a. DISTRIBUTION STATtMENT
RELEASE TO PUBLIC
13. SECURITY CLASS
UNCLASSIFIED
20. SECURITY CLASS (Ttia page)
UNCLASSIFIED
22. PRICE
Vol. Ill—91
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