EPA-450/4-86-016b
Evaluation of Short-Term Long-Range
Transport Models
Volume II. Appendices A through E
by
A. J. Policastro, M. Wastag, L. Coke
Argonne National Laboratory
Argonne, Illinois 60439
R. A. Carhart
University of Illinois
Chicago, Illinois 60680
W7 E.Dunn
University of Illinois
Urbana, Illinois 61801
IAG No. DW 89930807
EPA Project Officer: Norman C. Possiel
Prepared for
U.S. ENVIRONMENTAL PROTECTION AGENCY
Office of Air and Radiation
Office of Air Quality Planning and Standards
Source Receptor Analysis Branch
Research Triangle Park, NC 27711
U.S. Environmental Protection Agency;
October 1986 Eegim, 5 , Li hr >cy ( ^-L -1'• >
230 ;•. fi - 'Vir £'t -set, Room .1C70
Chicago, ^ 60004
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Disclaimer
This report has been reviewed by The Office of Air Quality
Planning and Standards, U. S. Environmental Protection
Agency, and has been approved for publication. Mention
of trade names or commercial products is not intended to
constitute endorsement or recommendation for use.
ii
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TABLE OF CONTENTS
VOLUME II - APPENDICES
TABLE OF CONTENTS ill
LIST OF FIGURES vii
LIST OF TABLES xxiii
APPENDIX A APCA PAPER/HARTFORD MEETING/OCTOBER 1983 A-l
APPENDIX B CHOICE OF MODEL-SPECIFIC INPUTS
INTRODUCTION B-l
PART I: DATA BASE SELECTION AND INPUT PARAMETERS
FOR THE MTDDIS MODEL B-l
Oklahoma Tracer Study B-l
Savannah River Plant Krypton-85 Study B-2
Source Information B-2
Meteorological Information B-2
Spatial and Temporal Grids B-3
Model-Specific Options B-5
PART II: DATA BASE SELECTION AND INPUT PARAMETERS
FOR THE ARRPA MODEL B-5
Oklahoma Tracer Study B-5
Source Information B-5
Meteorological Information B-6
Spatial and Temporal Grids B-6
Model-Specific Options B-6
Savannah River Plant Krypton-85 Study B-7
PART III: DESCRIPTION OF MESOPAC CHANGES AND OPTIONS B-7
PART IV: DATA BASE SELECTION AND INPUT PARAMETERS FOR THE
MESOPAC II WIND FIELD MODEL B-9
Description of MESOPAC II Options B-10
PART V: DATA BASE SELECTION AND INPUT PARAMETERS FOR THE
MESOPUFF, MESOPLUME, MSPUFF, AND MESOPUFF II MODELS . . B-13
Introduction B-13
Computational Considerations B-13
Decision Points B-14
PART VI: DESCRIPTION OF RTM-II CHANGES AND OPTIONS B-16
111
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TABLE OF CONTENTS (CONTINUED)
PART VII: DESCRIPTION OF RADM CHANGES AND OPTIONS . B-17
APPENDIX C DESCRIPTION OF CODE MODIFICATIONS REQUIRED
FOR THE EIGHT MODELS
INTRODUCTION C-l
C.I. DESCRIPTION OF MTDDIS MODIFICATIONS C-l
C.2. DESCRIPTION OF ARRPA MODIFICATIONS C-3
C.3. DESCRIPTION OF MESOPAC (METEOROLOGICAL PREPROCESSOR)
MODIFICATIONS C-6
C.4. DESCRIPTION OF MESOPUFF MODIFICATIONS C-7
C.5. DESCRIPTION OF MESOPLUME MODIFICATIONS C-9
C.6. DESCRIPTION OF MSPACK (METEOROLGICAL PREPROCESSOR)
MODIFICATIONS C-ll
C.7. DESCRIPTION OF MSPUFF MODIFICATIONS C-ll
C.8. DESCRIPTION OF MESOPAC II (METEOROLOGICAL PREPROCESSOR)
MODIFICATIONS C-13
C.9. DESCRIPTION OF MESOPUFF II MODIFICATIONS C-17
C.10. RTM-II MODIFICATIONS (OKLAHOMA ONLY) C-18
C.ll. DESCRIPTION OF RADM MODIFICATIONS C-20
APPENDIX D COMPLETE STATISTICAL COMPARISONS OF THE EIGHT MODELS
WITH THE OKLAHOMA AND SAVANNAH RIVER PLANT DATA BASES
INTRODUCTION D-l
PART I: TABULAR LISTING OF THE PREDICTED AND OBSERVED GROUND-LEVEL
CONCENTRATIONS FOR EACH OF THE SRP AND OKLAHOMA DATA SETS .... D-2
PART II: PRESENTATION OF COMPLETE AMS STATISTICS RESULTS FOR THE
OKLAHOMA AND SRP DATA SETS D-23
APPENDIX E COMPLETE GRAPHICAL COMPARISONS OF THE EIGHT MODELS
WITH THE OKLAHOMA AND SAVANNAH RIVER PLANT DATA BASES
INTRODUCTION E-l
1. LOCATION OF AIR SAMPLERS AND SITE MAP FOR OKLAHOMA
EXPERIMENTS E-3
2. EVIDENCE OF LOW-LYING NOCTURNAL JET DURING THE
OKLAHOMA STUDY E-7
3. ISOPLETH PLOTS OF PREDICTED GROUND-LEVEL CONCENTATIONS FOR THE
OKLAHOMA EXPERIMENTS E-18
4. SUMMARY GRAPHICAL PLOTS COMPARING MODEL PREDICTIONS AND
FIELD DATA AT OKLAHOMA E-103
IV
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TABLE OF CONTENTS (CONTINUED)
5. LOCATION OF AIR SAMPLERS AND SITE MAP FOR SAVANNAH RIVER
EXPERIMENT E-132
6. SKETCHES OF PREDICTED AND OBSERVED GROUND-LEVEL CONCENTRATIONS
FOR TWO SAVANNAH RIVER PLANT EXPERIMENTS SUBCASES 4B AND 6C . E-134
7. SUMMARY GRAPHICAL PLOTS COMPARING MODEL PREDICTIONS AND FIELD
DATA AT SAVANNAH RIVER PLANT E-143
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LIST OF FIGURES
Figure Page
E-l Location of the sequential air samplers (BATS) and aircraft
sampling path at 100 km from the Oklahoma tracer release site . E-4
E-2 Location of sequential samplers (BATS), LASL samplers, and
aircraft sampling flight path at 600 km from the Oklahoma
tracer release site E-5
E-3 Location of significant source, weather and receptor sites for
Oklahoma Experiment E-6
E-4 Wind speed profiles from KTVY tower for July 8-9, 1980 for
Oklahoma experiment E-10
E-5 Wind speeds at 266 and 444 meters at KTVY tower for July 8-9,
1980 for Oklahoma experiment E-ll
E-6 Wind speeds at 10, 24, 45, 89 and 177 meters at KTVY tower for
July 8-9, 1980 for Oklahoma experiment E-12
E-7 Wind speeds at 10, 45, 177 and 444 meters at KTVY tower for
July 8-9, 1980 for Oklahoma experiment E-13
E-8 Wind speed profiles from Tinker Air Force Base for July 8-9,
1980 for Oklahoma experiment E-14
E-9 Wind speed soundings from Monett, Missouri on July 8, 1980 at
18Z and on July 9, 1980 at OOZ, 06Z and 12Z for Oklahoma
experiment E-15
E-10 Wind speed soundings from Topeka, Kansas on July 8, 1980 at 18Z
and on July 9, 1980 at OOZ, 06Z and 12Z for Oklahoma experiment E-16
E-ll Wind speed soundings at Omaha, Nebraska on July 8, 1980 at 18Z
and on July 9, 1980 at OOZ, 06Z and 12Z for Oklahoma experiment E-17
E-12 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2100 to 2145 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-19
E-13 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2100 to 2145 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-20
E-14 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2100 to 2145 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-21
vn
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LIST OF FIGURES (CONTINUED)
Figure Page
E-15 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2100 to 2145 GMT) ... RADM
predictions E-22
E-16 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2145 to 2230 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-23
E-17 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2145 to 2230 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-24
E-18 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2145 to 2230 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-25
E-19 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2145 to 2230 GMT) ... RADM
predictions E-26
E-20 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2230 to 2315 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-27
E-21 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2230 to 2315 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-28
E-22 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2230 to 2315 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-29
E-23 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2230 to 2315 GMT) ... RADM
predictions E-30
E-24 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2315 to 0000 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-31
E-25 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2315 to 0000 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-32
E-26 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2315 to 0000 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-33
Vlll
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LIST OF FIGURES (CONTINUED)
Figure Page
E-27 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 8, 1980 (2315 to 0000 GMT) ... RADM
predictions E-34
E-28 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0000 to 0045 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-35
E-29 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0000 to 0045 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-36
E-30 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0000 to 0045 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-37
E-31 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0000 to 0045 GMT) ... RADM
predictions . ' E-38
E-32 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0045 to 0130 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-39
E-33 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0045 to 0130 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-40
E-34 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0045 to 0130 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-41
E-35 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0045 to 0130 GMT) ... RADM
predictions E-42
E-36 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0130 to 0215 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-43
E-37 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0130 to 0215 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-44
E-38 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0130 to 0215 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-45
IX
-------
LIST OF FIGURES (CONTINUED)
Figure Page
E-39 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0130 to 0215 GMT) ... RADM
predictions E-46
E-40 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0800 to 1100 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-47
E-41 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0800 to 1100 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-48
E-42 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0800 to 1100 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-49
E-43 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (0800 to 1100 GMT) ... RADM
predictions E-50
E-44 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1100 'to 1400 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-51
E-45 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1100 to 1400 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-52
E-46 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1100 to 1400 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-53
E-47 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1100 to 1400 GMT) ... RADM
predictions E-54
E-48 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1400 to 1700 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-55
E-49 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1400 to 1700 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-56
E-50 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1400 to 1700 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-57
-------
LIST OF FIGURES (CONTINUED)
Figure Page
E-51 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1400 to 1700 GMT) ... RADM
predictions E-58
E-52 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1700 to 2000 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-59
E-53 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1700 to 2000 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-60
E-54 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1700 to 2000 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-61
E-55 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (1700 to 2000 GMT) ... RADM
predictions E-62
E-56 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (2000 to, 2300 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-63
E-57 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (2000 to 2300 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-64
E-58 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (2000 to 2300 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-65
E-59 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (2000 to 2300 GMT) ... RADM
predictions E-66
E-60 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (2300 to 0200 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-67
E-61 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (2300 to 0200 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-68
E-62 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (2300 to 0200 GMT) ... (left) ARRPA
predictions, (right) RTM-II predictions E-69
XI
-------
LIST OF FIGURES (CONTINUED)
Figure Page
E-63 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 9, 1980 (2300 to 0200 GMT) ... RADM
predictions E-70
E-64 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2200 to 2245 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-71
E-65 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2200 to 2245 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-72
E-66 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2200 to 2245 GMT) ... (left)
ARRPA predictions, (right) RTM-II predictions E-73
E-67 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2200 to 2245 GMT) ... RADM
predictions E-74
E-68 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2245 to 2330 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-75
E-69 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2245 to 2330 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-76
E-70 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2245 to 2330 GMT) ... (left)
ARRPA predictions, (right) RTM-II predictions E-77
E-71 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2245 to 2330 GMT) ... RADM
predictions E-78
E-72 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2330 to 0015 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-79
E-73 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2330 to 0015 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-80
E-74 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2330 to 0015 GMT) ... (left)
ARRPA predictions, (right) RTM-II predictions E-81
xn
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LIST OF FIGURES (CONTINUED)
Figure Page
E-75 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 11, 1980 (2330 to 0015 GMT) ... RADM
predictions E-82
E-76 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0015 to 0100 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-83
E-77 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0015 to 0100 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-84
E-78 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0015 to 0100 GMT) ... (left)
ARRPA predictions, (right) RTM-II predictions E-85
E-79 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0015 to 0100 GMT) ... RADM
predictions . . E-86
E-80 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0100 to 0145 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-87
E-81 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0100 to 0145 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-88
E-82 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0100 to 0145 GMT) ... (left)
ARRPA predictions, (right) RTM-II predictions E-89
E-83 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0100 to 0145 GMT) ... RADM
predictions E-90
E-84 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0145 to 0230 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-91
E-85 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0145 to 0230 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-92
E-86 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0145 to 0230 GMT) ... (left)
ARRPA predictions, (right) RTM-II predictions E-93
Xlll
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LIST OF FIGURES (CONTINUED)
Figure Page
E-87 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0145 to 0230 GMT) ... RADM
predictions E-94
E-88 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0230 to 0315 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-95
E-89 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0230 to 0315 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-96
E-90 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0230 to 0315 GMT) ... (left)
ARRPA predictions, (right) RTM-II predictions E-97
E-91 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0230 to 0315 GMT) ... RADM
predictions E-98
E-92 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0315 to 0400 GMT) ... (left)
MESOPUFF predictions, (right) MESOPLUME predictions E-99
E-93 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0315 to 0400 GMT) ... (left)
MSPUFF predictions, (right) MESOPUFF II predictions E-100
E-94 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0315 to 0400 GMT) ... (left)
ARRPA predictions, (right) RTM-II predictions E-101
E-95 Isopleth plot of ground-level concentrations for the Oklahoma
experiment of July 12, 1980 (0315 to 0400 GMT) ... RADM
predictions E-102
E-96 Frequency distribution of predicted and observed concentrations
at Oklahoma for MESOPUFF based on points paired in space and
time ... (top) concentration range: 0 - 100 parts per 1015,
(bottom) concentration range: 100 - 1000 parts per lO^-5 .... E-104
E-97 Frequency distribution of residuals at Oklahoma for MESOPUFF
based on points paired in space and time ... (top) residual
range: -100 to 100 parts per 1015, (bottom) residual range:
-1000 to 1000 parts per 1015 E-105
E-98 Scatter plot of predicted and observed averaged concentrations
at Oklahoma for MESOPUFF ... points paired in space and time . E-106
xiv
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LIST OF FIGURES (CONTINUED)
Figure Page
E-99 Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for MESOPUFF ...
points paired in space and time E-106
E-100 Cumulative frequency distributions of MESOPUFF predictions and
observed concentrations at Oklahoma based on points paired in
space and time E-107
E-101 Frequency distribution of predicted and observed concentrations
at Oklahoma for MESOPLUME based on points paired in space and
time ... (top) concentration range: 0 - 100 parts per 1015,
(bottom) concentration range: 100 - 1000 parts per 1015. . . . E-108
E-102 Frequency distribution of residuals at Oklahoma for MESOPLUME
based on points paired in space and time ... (top) residual
range: -100 to 100 parts per lO1^, (bottom) residual range:
-1000 to 1000 parts per 1015 E-109
E-103 Scatter plot of predicted and observed averaged concentrations
at Oklahoma for MESOPLUME ... points paired in space and time. E-110
E-104 Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for MESOPLUME ...
points paired in space and time E-110
E-105 Cumulative frequency distributions of MESOPLUME predictions and
observed concentrations at Oklahoma based on points paired in
space and time E-lll
E-106 Frequency distribution of predicted and observed concentrations
at Oklahoma for MSPUFF based on points paired in space and time
... (top) concentration range: 0 - 100 parts per lO1^,
(bottom) concentration range: 100 - 1000 parts per 10J-5 .... E-112
E-107 Frequency distribution of residuals at Oklahoma for MSPUFF
based on points paired in space and time ... (top) residual
range: -100 to 100 parts per 1015, (bottom) residual range:
-1000 to 1000 parts per 1015 E-113
E-108 Scatter plot of predicted and observed averaged concentrations
at Oklahoma for MSPUFF ... points paired in space and time . . E-114
E-109 Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for MSPUFF ...
points paired in space and time E-114
E-110 Cumulative frequency distributions of MSPUFF predictions and
observed concentrations at Oklahoma based on points paired in
space and time E-115
xv
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LIST OF FIGURES (CONTINUED)
Figure Page
E-lll Frequency distribution of predicted and observed concentrations
at Oklahoma for MESOPUFF II based on points paired in space and
time ... (top) concentration range: 0 - 100 parts per 1015,
(bottom) concentration range: 100 - 1000 parts per lO1^ .... E-116
E-112 Frequency distribution of residuals at Oklahoma for MESOPUFF II
based on points paired in space and time ... (top) residual
range: -100 to 100 parts per 1015, (bottom) residual range:
-1000 to 1000 parts per 1015 .................. E-117
E-113 Scatter plot of predicted and observed averaged concentrations
at Oklahoma for MESOPUFF II ... points paired in space and
time .............................. E-118
E-114 Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for MESOPUFF II ...
points paired in space and time ................ E-118
E-115 Cumulative frequency distributions of MESOPUFF II predictions
and observed concentrations at Oklahoma based on points paired
in space and time ....................... E-119
E-116 Frequency distribution of predicted and observed concentrations
at Oklahoma for ARRPA based on points paired in space and time
(top) concentration range: 0 - 100 parts per 1015,
(bottom) concentration range: 100 - 1000 parts per 101* .... E-120
E-117 Frequency distribution of residuals at Oklahoma for ARRPA based
on points paired in space and time ... (top) residual range:
-100 to 100 parts per 1015, (bottom) residual range: -1000 to
1000 parts per 1015 ...................... E-121
E-118 Scatter plot of predicted and observed averaged concentrations
at Oklahoma for ARRPA ... points paired in space and time . . . E-122
E-119 Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for ARRPA ...
points paired in space and time ................ E-122
E-120 Cumulative frequency distributions of ARRPA predictions and
observed concentrations at Oklahoma based on points paired in
space and time ............... ..... ..... E-123
E-121 Frequency distribution of predicted and observed concentrations
at Oklahoma for RTM-II based on points paired in space and time
(top) concentration range: 0 - 100 parts per 1015,
(bottom) concentration range: 100 - 1000 parts per lO1^ .... E-124
xvi
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LIST OF FIGURES (CONTINUED)
Figure Page
E-122 Frequency distribution of residuals at Oklahoma for RTM-II
based on points paired in space and time ... (top) residual
range: -100 to 100 parts per lO1^, (bottom) residual range:
-1000 to 1000 parts per 1015 E-125
E-123 Scatter plot of predicted and observed averaged concentrations
at Oklahoma for RTM-II ... points paired in space and time . . E-126
E-124 Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for RTM-II
points paired in space and time E-126
E-125 Cumulative frequency distributions of RTM-II predictions and
observed concentrations at Oklahoma based on points paired in
space and time E-127
E-126 Frequency distribution of predicted and observed concentrations
at Oklahoma for RADM based on points paired in space and time
(top) concentration range: 0 - 100 parts per 1015,
(bottom) concentration range: 100 -1000 parts per 1015 E-128
E-127 Frequency distribution of residuals at Oklahoma for RADM based
on points paired in space and time ... (top) residual range:
-100 to 100 parts per 1015, (bottom) residual range: -1000 to
1000 parts per 1015 E-129
E-128 Scatter plot of predicted and observed averaged concentrations .
at Oklahoma for RADM ... points paired in space and time . . . E-130
E-129 Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for RADM ... points
paired in space and time E-130
E-130 Cumulative frequency distributions of RADM predictions and
observed concentrations at Oklahoma based on points paired in
space and time E-131
E-131 Location of significant source, weather and receptors sites for
Savannah River Plant Experiment E-133
E-132 Comparison of 10-hour averages of predicted plume and observed
data (in pCi/m3) for Savannah River Plant experiment of
November 18-19, 1976 (2200 to 0800 GMT) ... (top) MESOPUFF
predictions, (bottom) MESOPLUME predictions E-135
E-133 Comparison of 10-hour averages of predicted plume and observed
data (in pCi/m3) for Savannah River Plant experiment of
November 18-19, 1976 (2200 to 0800 GMT) ... (top) MSPUFF
predictions, (bottom) MESOPUFF II predictions E-136
xvii
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LIST OF FIGURES (CONTINUED)
Figure Page
E-134 Comparison of 10-hour averages of predicted plume and observed
data (in pCi/m3) for Savannah River Plant experiment of
November 18-19, 1976 (2200 to 0800 GMT) ... (top) MTDDIS
predictions, (bottom) RTM-II predictions E-137
E-135 Comparison of 10-hour averages of predicted plume and observed
data (in pCi/m3) for Savannah River Plant experiment of
November 18-19, 1976 (2200 to 0800 GMT) ... RADM predictions . E-138
E-136 Comparison of 10-hour averages of predicted plume and observed
data (in pci/m^) for Savannah River Plant experiment of
February 17-18, 1977 (2200 to 0800 GMT) ... (top) MESOPUFF
predictions, (bottom) MESOPLUME predictions E-139
E-137 Comparison of 10-hour averages of predicted plume and observed
data (in pCi/m^) for Savannah River Plant experiment of
February 17-18, 1977 (2200 to 0800 GMT) ... (top) MSPUFF
predictions, (bottom) MESOPUFF II predictions E-140
E-138 Comparison of 10-hour averages of predicted plume and observed
data (in pCi/m3) for Savannah River Plant experiment of
February 17-18, 1977 (2200 to 0800 GMT) ... (top) MTDDIS
predictions, (bottom) RTM-II predictions E-141
E-139 Comparison of 10-hour averages of predicted plume and observed
data (in pCi/m3) for Savannah River Plant experiment of
February 17-18, 1977 (2200 to 0800 GMT) ... RADM predictions . E-142
E-140 Frequency distribution of predicted and observed concentrations
at Savannah River Plant for MESOPUFF based on points paired in
space and time ... (top) concentration range: 0 - 100 pCi/m3,
(bottom) concentration range: 100 - 1000 pCi/m3 E-144
E-141 Frequency distribution of residuals at Savannah River Plant for
MESOPUFF based on points paired in space and time ... (top)
residual range: -100 to 100 pCi/m3, (bottom) residual range:
-1000 to 1000 pCi/m3 E_145
E-142 Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for MESOPUFF ... points paired in
space and time E-146
E-143 Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
MESOPUFF ... points paired in space and time E-146
E-144 Cumulative frequency distributions of MESOPUFF predictions and
observed concentrations at Savannah River Plant based on points
paired in space and time E-147
XVlll
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LIST OF FIGURES (CONTINUED)
Figure Page
E-145 Frequency distribution of predicted and observed concentrations
at Savannah River Plant for MESOPLUME based on points paired in
space and time ... (top) concentration range: 0 - 100 pCi/m3,
(bottom) concentration range: 100 - 1000 pCi/m3 E-148
E-146 Frequency distribution of residuals at Savannah River Plant for
MESOPLUME based on points paired in space and time ... (top)
residual range: -100 to 100 pCi/m3, (bottom) residual range:
-1000 to 1000 pCi/m3 E_149
E-147 Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for MESOPLUME ... points paired in
space and time E-150
E-148 Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
MESOPLUME ... points paired in space and time E-150
E-149 Cumulative frequency distributions of MESOPLUME predictions and
observed concentrations at Savannah River Plant based on points
paired in space and time E-151
E-150 Frequency distribution of predicted and observed concentrations
at Savannah River Plant for MSPUFF based on points paired in
space and time ... (top) concentration range: 0 - 100 pCi/m3,
(bottom) concentration range: 100 - 1000 pCi/m3 E-152
E-151 Frequency distribution of residuals at Savannah River Plant for
MSPUFF based on points paired in space and time ... (top)
residual range: -100 to 100 pCi/m3, (bottom) residual range:
-1000 to 1000 pCi/m3 E-153
E-152 Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for MSPUFF ... points paired in space
and time E-154
E-153 Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
MSPUFF ... points paired in space and time E-154
E-154 Cumulative frequency distributions of MSPUFF predictions and
observed concentrations at Savannah River Plant based on points
paired in space and time E-155
E-155 Frequency distribution of predicted and observed concentrations
at Savannah River Plant for MESOPUFF II based on points paired
in space and time ... (top) concentration range: 0 - 100
pCi/m3, (bottom) concentration range: 100 - 1000 pCi/m3 .... E-156
xix
-------
LIST OF FIGURES (CONTINUED)
Figure Page
E-156 Frequency distribution of residuals at Savannah River Plant for
MESOPUFF II based on points paired in space and time ... (top)
residual range: -100 to 100 pCi/m3, (bottom) residual range:
-1000 to 1000 pCi/m3. E-157
E-157 Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for MESOPUFF II ... points paired in
space and time E-158
E-158 Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
MESOPUFF II ... points paired in space and time E-158
E-159 Cumulative frequency distributions of MESOPUFF II predictions
and observed concentrations at Savannah River Plant based on
points paired in space and time E-159
E-160 Frequency distribution of predicted and observed concentrations
at Savannah River Plant for MTDDIS based on points paired in
space and time ... (top) concentration range: 0 - 100 pCi/m3,
(bottom) concentration range: 100 - 1000 pCi/m3 E-160
E-161 Frequency distribution of residuals at Savannah River Plant for
MTDDIS based on points paired in space and time ... (top)
residual range: -100 to 100 pCi/m3, (bottom) residual range:
-1000 to 1000 pCi/m3 E-161
E-162 Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for MTDDIS ... points paired in space
and time E-162
E-163 Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
MTDDIS ... points paired in space and time E-162
E-164 Cumulative frequency distributions of MTDDIS predictions and
observed concentrations at Savannah River Plant based on points
paired in space and time E-163
E-165 Frequency distribution of predicted and observed concentrations
at Savannah River Plant for RTM-II based on points paired in
space and time ... (top) concentration range: 0 - 100 pCi/m3,
(bottom) concentration range: 100 - 1000 pCi/m3 E-164
E-166 Frequency distribution of residuals at Savannah River Plant for
RTM-II based on points paired in space and time ... (top)
residual range: -100 to 100 pCi/m3, (bottom) residual range:
-1000 to 1000 pCi/m3 E-165
xx
-------
LIST OF FIGURES (CONTINUED)
Figure Page
E-167 Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for RTM-II ... points paired in space
and time E-166
E-168 Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
RTM-II ... points paired in space and time E-166
E-169 Cumulative frequency distributions of RTM-II predictions and
observed concentrations at Savannah River Plant based on points
paired in space and time E-167
E-170 Frequency distribution of predicted and observed concentrations
at Savannah River Plant for RADM based on points paired in
space and time ... (top) concentration range: 0 - 100 pCi/m^,
(bottom) concentration range: 100 - 1000 pCi/m3 E-168
E-171 Frequency distribution of residuals at Savannah River Plant for
RADM based on points paired in space and time ... (top)
residual range: -100 to 100 pCi/m3, (bottom) residual range:
-1000 to 1000 pCi/m3 E-169
E-172 Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for RADM ... points paired in space
and time E-170
E-173 Scatter plot of . average of observed and predicted
concentrations versus residuals at Savannah River Plant for
RADM ... points paired in space and time E-170
E-174 Cumulative frequency distributions of RADM predictions and
observed concentrations at Savannah River Plant based on points
paired in space and time E-171
xxi
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XXI1
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LIST OF TABLES
Table Page
D-l Statistical Dataset (A-l) for Oklahoma Data D-24
D-2 Statistical Dataset (A-2) for Oklahoma Data D-25
D-3 Statistical Dataset (A-4A) for Oklahoma Data D-26
D-4 Statistical Dataset (B-l) for Oklahoma Data D-27
D-5 Statistical Dataset (B-3) for Oklahoma Data D-29
D-6 statistical Dataset (A-l) for Savannah River Plant Data. . . . D-30
D-7 Statistical Dataset (A-2) for Savannah River Plant Data .... D-31
D-8 Statistical Dataset (A-4A) for Savannah River Plant Data. . . . D-32
D-9 Statistical Dataset (B-l) for Savannah River Plant Data .... D-33
D-10 Statistical Dataset (B-3) for Savannah River Plant Data .... D-36
xxin
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APPENDIX A
APCA PAPER/HARTFORD MEETING/OCTOBER 1983
(REF. 23)
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EVALUATION OF TWO SHORT-TERM LONG-RANGE
TRANSPORT MODELS WITH FIELD DATA
Anthony J. Policastro,
Michael Wastag, and Jack D. Shannon
Argonne National Laboratory
Argonne, Illinois
Richard Carhart
University of Illinois at Chicago
William Dunn
University of Illinois at Urbana
The performance of two short-term long-range transport models, RTM-II and
MESOPUFF, are evaluated with data from Krypton-85 releases. The RTM-II
model employs a finite-difference method of plume dispersion, whereas
MESOPUFF uses a variable-trajectory Lagrangian puff approach. In this
evaluation a preprocessor, MESOPAC, produces for both models the wind
field and mixing height as a function of time. Krypton-85 is a conservative
tracer so only the transport and dispersion components of the models are
tested. Fifteen datasets covering between one and twelve 10-hr periods
are used for model testing. Thirteen samplers within 144 km of the
tracer release points provide 10-hr averages of Kr-85 concentrations.
Both models typically show errors of 20 to 40° in the direction of the
predicted plume (predictions usually clockwise relative to observed)
along with an underprediction in plume spread. Predicted concentration
decay with distance tends to be only within an order of magnitude of the
data, even when errors in orientation are ignored. Graphical comparisons
and performance statistics are unfavorable when points are paired in
space and time. Model errors are most likely due to (a) the single-layer
wind field analysis from twice-daily rawinsondes in MESOPAC (inadequately
treating the diurnal cycles of mixing depth and vertical shear in the
horizontal wind, as well as not treating meandering), and (b) an under-
prediction of small-scale processes by both models. The commonly used
performance statistics do not permit the separation of directionality and
dispersion effects. Methods of evaluating the ground patterns of the
predicted plume and observed data need to be developed to supplement
point-by-point model evaluations.
A-l
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Introduction
In the March 1980 Federal Register.1 the U.S. EPA published a request
for submission of long-range transport models for possible inclusion in
the next revision of EPA's "Guidelines on Air Quality Models." Seven
models have been accepted as candidates for consideration: RTM-II,2
MESOPUFF,3'4 MESOPUFF-II,5 MESOPLUME,6 RADM,7 MTDDIS,8 and ARRPA.9 These
models predict short-term averages (3, 12, 24 hrs) of SC>2, sulfates, and
particulates over distances of 20-1000 km from single or multiple sources.
ANL is presently under contract with EPA to evaluate the performance of
these models with field data. A important component in the evaluation is
the use of the AMS-recommended statistics10 coupled with supplementary
graphical methods to quantify and interpret the performance of the models.
Data bases used to test the models will largely represent single sources
in which concentrations above background can be detected over mesoscale
distances. The major application of the models in the EPA regulatory
framework is for PSD analyses for Class I areas. Long-range transport
models are required in calculations made at distances beyond about 50 km,
the limits of applicability of straight-line Gaussian models.
This paper presents the early results of this model evaluation
program. Two models, RTM-II and MESOPUFF, are tested here with tracer
plume data taken at the Savannah River Plant during the period 1976-1977.
Since our work represents a regulatory evaluation of models, rather than
a scientific evaluation of the modeling concepts, those models are to be
applied as indicated in the user's manuals for these models. Only data
specifically required by the model are to be used.
Brief Descriptions of MESOPUFF and RTM-II
MESOPUFF is a variable trajectory Gaussian puff superposition model.
A preprocessor to MESOPUFF called MESOPAC employs twice-daily rawinsonde
soundings to provide a gridded field of winds (u,v), mixing heights, and
Pasquill-Gifford-Turner (PGT) stability classes on an hour-by-hour basis.
MESOPAC provides only a single-layer wind field; i.e., u and v are constant
with height but vary in the horizontal plane and with time. Winds and
mixing heights are first computed (twice daily) at each rawinsonde station;
from those values, l/r2-interpolation in space and linear interpolation
in time is used to compute the winds and mixing heights at any grid point
(x, y) at any hour in the day. PGT stability classes are a function of
wind speed and mixing height at each grid point. The file of gridded
winds, mixing heights, and PGT stability classes is then used by MESOPUFF
to compute the dispersion of the plume.
In MESOPUFF, the emission is divided into a sequence of puffs emitted
continually over time. The Gaussian puffs are advected by the wind and
dispersed using a and a values similar to those of Turner11 up to
100 km and based
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difference solution to the convective-diffusion equation. The numerical
scheme used is from Boris and Book.13 This method is characterized by a
two-stage, flux-corrected transport algorithm in which a correction of
pollutant fluxes in the second stage counteracts the numerical diffusion
arising from the first stage. Horizontal eddy diffusivities are para-
meterized in the model using a formula proposed by Smagorinsky,14 where
K.= K = K = n(Def| , r) is an empirical constant based on scale consider-
ations, and^ |Def| is the magnitude of the velocity deformation tensor.
The horizontal diffusivities are constrained by maximum and minimum
values chosen from regional-scale field studies.
There is no single wind-field model recommended by the developers,
Systems Applications Inc. (SAI), for the RTM-II model. Several wind
field models are available from them; however, for an application to the
Savannah River Plant 85Kr data, SAI recommended the use of MESOPAC.
Thus, MESOPAC provided the fields of wind and mixing height for both
MESOPUFF and RTM-II in the present study.
The Savannah River Plant 85Kr Data Base
Krypton-85 is a noble gas which is released to the atmosphere during
the chemical separation of nuclear fuel from target material at the
Savannah River Plant (SRP) in Aiken, South Carolina.15 The release comes
from two 62-km stacks located 4 km apart. The release is strongly time-
dependent as illustrated in Figure 1 for March 1976. Background measure-
ments at the site indicated a level of 16 PCi/m3; any measurement below
that value was treated as 16 PCi/m3. The location of air samplers on the
ground around the source is sketched in Figure 2. The nearest sampler
was 28 km from the stacks and the farthest was 144 km. Twice-daily
samples representing 10-hr averages were used in this study for the
testing of models. The terrain around the SRP consists of gently rolling
hills. Four rawinsonde stations located in South Carolina and Georgia
provide upper-air data to be used in the model evaluation. Meteorological
data from a network of towers and ground stations in the area were available
but could not be accepted as input by the models, according to the protocol
established for the evaluation.
Since the Krypton-85 emission is a conservative tracer, the chemical
conversion and wet and dry deposition submodels were inoperative. Only
the transport and diffusion components of the models were evaluated.
Table 1 lists the time periods over which 10-hr samples were collected
as well as the time periods over which plume dispersion calculations were
made. The fifteen datasets listed were also the "standard" datasets used
in the Model Validation Workshop16'17 held in Hilton Head, South Carolina
in November 1980. At least three datasets are available for each season
of the year. Each dataset represented roughly 2-6 days of between one to
twelve 10-hr sampling periods. In general, 1-1^ days of plume transport
calculations were made in advance of the start of ground sampling measure-
ments to assure that the plume had been sufficiently transported downwind.
Method of Preparation of Model Predictions
A rectangular coordinate grid surrounding the four rawinsonde stations
was set up (see Figure 2) for MESOPAC predictions of winds, mixing heights,
and PGT stability classes. This grid spanned 320 km by 540 km with grid
spacing AX = AY = 10 km. Computations of plume dispersion were made over
A-3
-------
the smaller grid given in Figure 2, which was 270 km by 290 km and a
subgrid of the larger meteorological grid.
Standard options were chosen in applying both models. However,
engineering judgment was required in two areas. First, a choice had to
be made as to how MESOPAC was to represent the single-layer time-dependent
winds. Personal communications18'1® with the ERT and SAI model developers
elicted the common recommendation to average winds (u, v components) from
the ground to 1500 m at times OOZ and 12Z. Second, for RTM-II, dispersion
coefficients had to be chosen. The model developers recommended18 a
choice of r| = 2 x 108 m2 with lower and upper limits on K.. of 100 and
3.3 x io4 m2/s, respectively, based on the expected time of travel and
lateral spreading of the plume. Guidance for such choices came from
SAI's interpretation of regional scale studies by Randerson.20'21
General Discussion of Results
The fifteen datasets used for model predictions encompass sixty-five
10-hr averaging periods. Comparison of RTM-II and MESOPUFF ground patterns
and observations at samplers revealed the following division of these
65 cases (for MESOPUFF)
10 cases appear well-predicted
17 cases reveal a predicted plume that is rotated 20-45° clockwise
from the observations
5 cases reveal a predicted plume that is counterclockwise of the
observations
7 cases had predicted plumes directed approximately 180° from observed
data
10 cases had plumes predicted to be too narrow and located between
two samplers. A greater predicted plume spread would have improved
model performance
16 cases were such that no decision on model performance could be
made because both modeled and actual plumes (apparently) passed
between sensors.
Results for RTM-II revealed a similar division of cases. MESOPUFF
generally provided higher surface concentrations but in a narrower plume
than RTM-II and both predicted plumes did not spread out sufficiently.
Figure 3 shows the rotation problem as illustrated in Case 4B for RTM-II.
The figure presents measured 10-hr averaged concentrations (above back-
ground) at each sampler (in PCi/m3) and numerical values of the predicted
plume concentrations within the outlined plume. For sampler 6, 200 PCi/m3
represents the predicted concentration and 1 PCi/m3 represents the observed
concentration. A noticeable rotation of the predicted plume approximately
45° clockwise relative to the data is noted. Determination of winds in
MESOPAC through averaging u and v components to 1500 m seems to be partly
the cause. For this nighttime period (2200-0800 hr GMT), the plume is
not likely to be more than two stack heights high (~150 m) rather than
1500 m. Since nocturnal planetary boundary layer winds usually rotate
clockwise with height (Ekman spiral effect), it is not surprising that
our 1500 m average winds direct the plume clockwise of observations. One
A-4
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might suggest a 1500 m averaging of winds for 12Z and 150 m averaging for
OOZ. However, that choice leads to too low a wind speed at night for
transport of the plume puffs already diffused aloft. There appears to be
no good solution within the present framework of MESOPAC. In MESOPUFF-II
(which includes new version of MESOPAC), two wind fields are created.
The first provides a wind field for the mixing layer (say from ground to
1500 m in the day and up to 100 m at night) and a second wind field from
the mixing layer to some fixed upper level, say the 750 or 850 mb level.
The concept of two vertically averaged wind fields that are essentially
uncoupled may be a better method to handle nocturnal wind shear. MESOPUFF-
II will be tested with these data in the near future. Clearly, predictions
of short-term averages at the lower end of the mesoscale range requires a
very good wind-field model for accurate location predictions.
The second major problem identified in the model/data comparisons is
the lack by both models of sufficient lateral spreading. The problem of
insufficient lateral spreading is illustrated in Figure 4 for Case 6C for
RTM-II. Greater plume spread would provide better predictions for samplers
9 and 6. For very short-term averages (2-3 hrs), such small spreading
should be due to inadequate treatment of small-scale processes i.e., too
small a perhaps. For 24-hr averages, too small a lateral spreading
would most likely be due to wind shear and plume meander, i.e., inadequate
resolution in the meteorological preprocessor. For 10-hr averages as in
the present case, we have a combination of both deficiencies. Concerning
small-scale processes, the use of the Turner a curves out to 100 km does
not provide sufficient spreading, especially under stable conditions.
The Turner a's are more applicable in the range up to 20-30 km. For
RTM-II, the value of r| and the lower bound to K,. were probably too small
for the present problem. Conversations with tie developers indicated
that the location of the four rawinsondes outside the plume computational
grid leads to smooth streamlines for the interpolated winds passing
through the plume grid. As a result, the velocity deformation will be
small leading to a small K,, computed for each time step. As a result,
the plume spreading will not be as large as otherwise expected. Internal
model calculations of Kfl may be leading to values at or below the specified
lower bound for K,,. Higher values of r\ and the lower bound for K,, appear
to be in order for this case. Unfortunately, no tested methodology is
presently available from the model developers to implement the necessary
engineering judgment required in the choice of K,,.
Discussion of Graphical and Statistical Comparisons
In order to provide a more systematic and objective means of evaluat-
ing model performance, a set of graphical and statistical comparisons
were prepared for the two models. All comparisons of predictions and
observed data are made with values above background. Most of the comparisons
paired predicted and observed values in space and time. Evaluation of
the model/data comparisons in this manner represents the most stringent
test of model performance. Considering the modeling difficulties in
predicting the correct plume location, it is to be expected that scatter
plots of observed and predicted concentrations will be poor (see Figures 5
and 6). Numerous points lie on the axes indicating that either a predicted
or observed value was zero. A threshold analysis was used to eliminate
points that had both predicted and observed values of zero at a receptor.
Note that MESOPUFF has more points on the axes indicative of a thinner
plume that is less likely to be present at a receptor.
A-5
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A frequency histogram of observed and predicted concentrations is
given in Figure 7 for MESOPUFF. Although the agreement is reasonable, it
should be noted that (a) this is a comparison unpaired in space and time,
(b) the large frequency of occurrence in the range 0-10 PCi/m3 is due to
the large number of small values including zeroes in the 0-10 PCi/m3
range, and (c) approximately 15% of the concentrations exceeding 100 PCi/m3
are unplotted and are beyond the right side of the graph. These graphs
indicate that unpaired statistics should indicate a much more successful
model than statistics paired in space and time. Figure 8 presents the
frequency histogram of residuals (observed minus predicted values) for
MESOPUFF. This graph represents points paired in space and time. The
RTM-II plot was similar. The large frequency for concentrations between
0-10 PCi/m3 is a little deceiving: it represents many observations that
were 1, 2, 3 or so in magnitude but with predictions of zero. Moreover,
25% of the residuals are beyond the flanks of the graph. Figure 9 presents
the cumulative frequency distribution of predicted and observed concentra-
tions for MESOPUFF, RTM-II, and observations. The large cumulative
frequency for 1 PCi/m3 is not surprising, considering the many pairs
where predicted or observed were zero. In this graph, a triplet of
points was considered in formulating cumulative frequency curves only if
two of the entries (MESOPUFF predicted, RTM-II predicted, observed) were
nonzero. The large number of zeroes for MESOPUFF predictions (follows
from a thin predicted plume) explains the fact that it has the highest
value for cumulative frequency at 1 PCi/m3. The relative agreement in
frequency of predicted and observed values above 100 PCi/m3 is surprising.
A statistical evaluation of the model/data comparisons was carried
out using a subset of the AMS statistics. No formal recommendation was
given by AMS on the appropriate statistics for the evaluation of long-
range transport models. Suggestions of possible statistics from which an
evaluator can choose were made. Presented in Table 2 are several
statistics based on a dataset of points for each model paired in space
and time. The statistical dataset used as a basis for Table 1 was
developed by (a) a threshold analysis eliminating predicted/observed
pairs where both values were less than 20 PCi/m3, (b) an analysis to
eliminate outliers using Chauvenet's principle (5 prediction/observation
pairs were eliminated from RTM-II and 2 from MESOPUFF), and (c) elimi-
nation of any predicted/observed pair from the statistical dataset of one
model if the corresponding pair was not present in the statistical data-
set from the other model. In (c), we were assured of having the same
grouping of observations for both models. Similar choices were made in
the Hilton Head Model Validation Workshop.16 Results in Table 2 reveal
poor performance by both models with a better performance with the data
by RTM-II. The low correlation coefficients reveal no linear correlation
between predicted and observed data; the poor statistical performance of
the models is not surprising considering that the predicted plumes are
not in the right position with respect to the data. Point by point
paired comparisons will necessarily look poor. The application of unpaired
statistics to these model/data comparisons is presently being undertaken.
The use of unpaired statistics has some merit in a regulatory sense, much
less so in a scientific sense.
Conclusions
Five major conclusions may be drawn from the present study.
1. Errors often exist in the direction of the predicted plume. We
believe these errors are largely due to the oversimplifications made in
A-6
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the wind field model MESOPAC. The use of a multi-layer wind field model
would appear to be more appropriate.
2. A tendency to underpredict horizontal spreading is evident.
This error is probably due to a combination of insufficient plume spread
on an hour-by-hour basis and insufficient meander caused by inadequacies
in the meteorological preprocessor.
3. The predicted pattern of ground-level concentrations is within
an order of magnitude of the data in terms of concentration as a function
of distance from the source, only if one is willing to ignore the plume
rotation problem.
4. Model performance statistics are poor when points are paired in
space and time, due to the errors in predicted plume orientation. Prepara-
tion of unpaired statistics are planned for future work as such statistics
can be valuable in a regulatory evaluation.
5. The commonly used AMS performance statistics do not permit the
separation of the effects of errors of directionality and dispersion.
Methods to evaluate statistically the correctness of the ground concentra-
tion pattern irrespective of point by point performance are being examined.
Acknowledgments
The authors' research has been funded by the Office of Air Quality
Planning and Standards of the U.S. EPA. The authors would like to thank
Mr. Doug Stewart and Mr. Ralph Morris of SAI and Dr. Joseph Scire of ERT
for their assistance in clarifying the details of development and opera-
tion of the RTM-II and MESOPUFF models respectively. We also appreciate
the help of Dr. Alan Weber of the Savannah River Laboratory who clarified
for us details of the 85Kr experiment and the application of the AMS
statistics as used in the Hilton Head Model Validation Workshop.
A-7
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References
1. Federal Register, "Guidelines on Air Quality Models," 45:20157-20158
(March 27, 1980).
2. M. Yocke, R. Morris, M. Liu, "Revised user's guide to the Regional
Transport Model," Publication No. 82120. Systems Applications,
Inc., San Rafael, California (April 1982).
3. C.W. Benkley, A. Bass, "User's guide to MESOPUFF (Mesoscale Puff)
Model," Environmental Research and Technology, Inc., Concord, Massa-
chusetts, September 1979.
4. C.W. Benkley, A. Bass, "Development of mesoscale air quality simula-
tion models. Volume 6. User's guide to MESOPAC (Mesoscale Meteo-
rology Package)." EPA-600/7-79-XXX, Environmental Research and
Technology, Inc., Concord, Massachusetts, September 1979.
5. J. Scire, Environmental Research and Technology, Inc., Concord,
Massachusetts, private communication (1983).
6. C.W. Benkley and A. Bass, "Development of mesoscale air quality
simulation models. Volume 2. User's guide to MESOPLUME (mesoscale
plume segment) model," EPA-600/7-79-XXX, Environmental Research and
Technology, Inc., Concord, Massachusetts, September 1979.
7. D.I. Austin, A.W. Bealer, W.R. Goodin. "Random-Walk Advection and
Dispersion Model (RADM)," Dames & Moore, Inc., Los Angeles, California,
December 1981.
8. I.T. Wang, T.L. Waldron, "User's guide for MTDDIS, Mesoscale Transport,
Diffusion, and Deposition Model for Industrial Sources, Report
EMSC6062.1UG(R2), Rockwell International, Inc., Creve Coeur, Missouri,
December 1980.
9. S.F. Mueller, R.J. Valente, T.L. Crawford, A.J. Sparks, L.S. Gautney, Jr.,
"Description of the air resources regional pollution assessment
(ARRPA) model, Tennessee Valley Authority, Muscle Shoals, Alabama,
May 1983.
10. D.G. Fox. "Judging air quality model performance. A summary of the
AMS workshop on dispersion model performance. Woods Hole, Mass.,
8-11 September 1980." Bulletin American Meteorological Society,
62:599-609 (May 1981).
11. D.B. Turner, Workshop of atmospheric dispersion estimates, U.S. Dept.
of H.E.W. Public Health Service, Pub. 999-AP-26, 88 p, (1970).
12. J.L. Heffter. The variations of horizontal diffusion parameters
with time for travel periods of one hour or longer. J. Appl. Meteor.
4:153-156 (1965).
13. J.P. Boris, D.L. Book. "Flux-corrected transport - I. SHASTA, a
fluid transport algorithm that works." J. Computational Physics
11:38-69 (1973).
A-8
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14. J. Smagorinsky, General circulation experiments with the primitive
equations: I. The basic experiment. Mon. Wea. Rev. 91:99-164
(1963).
15. Air Resources Laboratories. Silver Spring, Maryland. "Measured
weekly and twice-daily Krypton-85 surface air concentrations within
150 km of the Savannah River Plant (March 1975 through September
1977) - final report," NOAA technical memorandum ERL ARL-80, (Jan.
1980).
16. M. Buckner, Compiler. "Proceedings of the First SRL Model Valida-
tion Workshop (November 19-21, 1980 at Hilton Head, South Carolina),"
Report DP-1597, Savannah River Laboratory, Aiken, South Carolina
(Oct. 1981).
17. A.H. Weber, M.R. Buckner, J.H. Weber, "Statistical performance of
several mesoscale atmospheric dispersion models," J. Appl. Meteorology,
21:1633-1644 (Nov. 1982).
18. J. Scire, Environmental Research and Technology. Concord, Massachusetts,
personal communication (July 1983).
19. R. Morris. Systems Applications, Inc. San Rafael, California.
Personal communication (July 1983).
20. M.K. Liu, D.R. Durran, "The development of a regional air pollution
model and its application to the Northern Great Plains," EPA-908/1-
77-001, Systems Applications, Inc., San Rafael, California (July
1977).
21. D. Randerson, "Temporal changes in horizontal diffusion parameters
of a single nuclear debris cloud," J. Appl. Meteor. 11:670-673
(1972).
A-9
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Table 1. Sample Collection Periods and Model Calculational Periods
for 10-Hour Samples
Sample Collection Periods
Case
No.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
Start
Hr
2200
2200
0900
1000
1000
2200
1000
2200
1000
2200
0900
0900
0900
0900
0900
Date
10-05-76
10-14-76
10-29-76
11-18-76
02-02-77
02-16-77
02-22-77
04-05-77
04-11-77
04-17-77
04-27-77
07-11-77
07-15-77
07-18-77
07-25-77
Hr
1200
1200
0700
0800
0800
0800
0800
0800
0800
2000
0700
0900
0700
0900
0700
End
Date
10-06-76
10-16-76
10-30-76
11-20-76
02-04-77
02-19-77
02-23-77
04-09-77
04-16-77
04-22-77
04-29-77
07-12-77
07-16-77
07-20-77
07-27-77
Model Calculation Periods
Start
Hr
0000
0000
1200
1200
1200
1200
1200
1200
1200
0000
1200
1200
1200
1200
1200
Date
10-05-76
10-14-76
10-28-76
11-17-76
02-01-77
02-15-77
02-21-77
04-04-77
04-10-77
04-17-77
04-26-77
07-10-77
07-14-77
07-17-77
07-24-77
Hr
0000
0000
1200
1200
1200
1200
1200
1200
1200
0000
1200
1200
1200
1200
1200
End
Date
10-07-76
10-17-76
10-30-76
11-20-76
02-04-77
02-19-77
02-23-77
04-09-77
04-16-77
04-23-77
04-29-77
07-12-77
07-16-77
07-21-77
07-27-77
Table 2. Summary of Performance Statistics
for MESOPUFF AND RTM-II models
(threshold =20.0 PCi/m3)
MESOPUFF
RTM-II
Mean
Obs Pred.
119 ± 192a 141 ± 313a
119 ± 192a 130 ± 248a
Bias
(Average)
-22 (-90,46)b
-10 (-64,44)b
Standard Dev.
of Residuals
382 (339,438)°
298 (265,343)C
Pearson' s
R
-0.09
0.10
Represents one standard deviation from the mean.
Represents confidence limits using one-sample t-test.
""Represents confidence limits using chi-square test.
A-10
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RTH-2 - CASE W ROV 18 (2200 m) TO WV 19 (OBOO M)
230 w-f
201 m-
100 w-
0 -
159
122
23 70 117 M7
133
Figure 3.
Comparison of 10-hour averages of predicted plume and
observed data (in PCi/m3) for RTM-II on November 18-19,
1976 (2200 Hr to 0800 Hr GMT).
230 m
200*
0 --
KTft-2 -- CASE 6C FEB 17 (2200 w) TO FIB 18 (0800 w)
103 »
19 11 9 9 7 6
26 17 12
Figure 4. Comparison of 10-hour averages of predicted plume and
observed data (in PCi/m3) for RTM-II on February 17-18
(2200 Hr to 0800 Hr GMT).
A-12
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MB30PUFT MODEL - THRESHOLD 1
2
B MM
I
i ***
i
i
>
i
1
i
1
i
i
0
0 ,.••'
o ..-•''
0 0 o
0 0
io ° " ,•-"""
S >oo°
• a ...'•''
o £ o _..-''o o
o • ,--"'..
% * ...--'
. f .-•-'• o „ .
o°0°.--' * %
a'' - ° 0 °
OBSERVED ooNcsirrRATioii (pa/MaT '*
•o
Figure 5. Scatter plots of predicted and observed 10-hr averaged
concentrations for MESOPUFF ... Threshold 1 points only.
!
• ***
i "
i
RTM2 MODEL - THRESHOLD 1
° ' .-••''
• .-''
a o o „.•
0 ° 0 0 0
0 0
•° ° D ••'*,
. .. • -x «• „
0 ° • 0 «.-•- e
• ' « "f ,.--•' o
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•'.• •/•-. • .-
„ .- 0° ,-•" • • «
..'•' • o * .
°0.--" . o •
D -
OBSBWED OtMCCKTRATION (PTI/w'T
•0
Figure 6. Scatter plots of predicted and observed 10-hr
averaged concentrations for RTM-II ... Threshold 1
points only.
A-13
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FREQUENCY DISTRIBUTION OP PREDICTED AND OMBIVID
OONCBNTRATIONS POR MB90PUPP - THRESHOLD J
C9 OBSERVED
63 ME9OPUFF
CONCENTRATION (PCI/10)
Figure 7. Frequency distribution of predicted and observed
concentrations for MESOPUFF ... Threshold 1 points
only.
MBOPVPP MODEL - THRESHOLD 1
FREQUENCY HBTTOCRAM OP RESIDUALS
••
r* "•
u
C ••
M
••
I
...tuXTftWs
\
m
V0MWfyM»SM/L-.
RESIDUAL (OBffiRVED - PREDICTED)
Figure 8. Frequency distribution of residuals for MESOPUFF
...Threshold 1 points only.
A-14
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CUMULATIVE FREQUENCY DISTRIBUTION OP PREDICTED AND OBSERVED
CONCENTRATIONS FOR THRESHOLD I
CONCENTRATION (KI/U3)
Figure 9. Cumulative frequency distribution of predicted
(from MESOPUFF and RMT-II) and observed concen-
trations ... Threshold 1 points only.
A-15
-------
APPENDIX B
CHOICE OF MODEL-SPECIFIC INPUTS*
Reprinted from "Evaluation of Eight Short-Term Long-Range Transport
Models with Field Data, Task I Report: Preparation of Input for
Eight Long-Range Transport Models" by A.J. Policastro, M. Wastag,
L. Coke, R.A. Carhart, and W.E. Dunn. Prepared by Argonne National
Laboratory, Argonne, Illinois, and the University of Illinois at
Chicago and Champaign-Urbana, for U.S. Environmental Protection
Agency, Office of Air Quality Planning and Standards, Research
Triangle Park, NC, January 1985.
-------
-------
INTRODUCTION
Two data bases have been employed in the evaluation of the 8 models; a
discussion of these data bases has already been presented in Chapters 3
and 4. This appendix focuses on the model-specific considerations that apply
to the Oklahoma tracer study and the Savannah River Plant (SRP) krypton-85
study. While every reasonable effort has been made to utilize exactly the
same data base for all models, inherent differences in each model require
unique decisions by the user. This appendix treats these issues. As a
general rule, codes were modified when feasible to employ all data that were
available, and the input parameters have been prepared to anticipate these
changes. In some cases, parts of the codes were not relevant to these field
cases and were not used; such an example is the chemical conversion and
depletion associated with non-passive tracers. Also, choice of control para-
meters varied among models. The treatment of these issues is now presented for
each model.
PART I: DATA BASE SELECTION AND INPUT PARAMETERS FOR THE MTDDIS MODEL
Oklahoma tracer study
The MTDDIS model was developed to handle only elevated releases from
industrial stacks. An assumption was made that the single layer wind field is
determined from wind speeds and directions at the effective height of
release. The precise elevation used to compute the wind speeds and directions
is important since surface data are extrapolated to that height using profile
laws. The Oklahoma tracer was released from a 1-meter source elevation having
effectly no updraft velocity. Since this source height does not represent an
elevated source, the model was judged to be inapplicable and therefore no
predictions of the Oklahoma study are included in this report. Clearly, 1-m
level winds do not represent the wind speeds and directions of released puffs
as they travel mesoscale distances. The ANL version of the MTDDIS computer
code is, however, capable of running not only the SRP data sets but also the
Oklahoma data sets.
B-l
-------
Savannah River Plant Krypton-85 Study
Source Information
The source information for the SRP data is only available as an effective
single source that has a highly variable emission rate. MTDDIS, like most
long range transport models, was designed to predict concentrations from
sources having a constant emission rate specified by a single input value.
This problem was solved as with the other models by modifying the code to
permit the reading of hourly-averaged values for the emission rate. Note,
however, that additional changes were required to implement the variable rate
in concentration calculations; these modifications are described in
Appendix C.
Meteorological Information
MTDDIS originally permitted up to 10 surface stations to be used for
meteorological input. As detailed in Chapter 4, meteorological data at SRP
were modified when possible to simulate TDF-14 meteorological tapes in an
effort to include all available data. The SRP study includes up to 26 surface
WBANs, counting the simulated surface stations. The MTDDIS codes were modified
to accommodate the additional meteorological station input.
Special considerations were required for the surface data obtained from
the meteorological towers. The MTDDIS model requires input of 10-m level wind
speeds and directions. Power-law formulas based on stability class are used to
derive winds at elevated levels. The simulated data were measured at varying
levels. Where 10-m level wind speeds were missing, they were estimated from
the next highest available level by applying the 1/7-power law and
extrapolating down to the 10-m level. However, recognizing that the 1/7-power
law is representative of only neutral stability, provisions were made within
the MTDDIS code to re-adjust the 10-m value so that the measured tower reading
would be consistent with the stability-dependent power law internal to MTDDIS.
This process was crucial for the 62-m level winds measured at the SRP station
closest to the source. The code modifications to accomplish this are
discussed in more detail in Appendix B.
B-2
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The modelers' data base for the SRP study contains all available observed
data relevant to the 15 selected cases. The support to extract the pertinent
data for MTDDIS was included in the master preprocessor developed by ANL. The
resulting output files for surface stations (including simulated WBANs) and
emission rates become inputs to the MTDDIS codes.
MTDDIS also requires morning and afternoon mixing heights. The model
allows input of a dual set of values, one set for user-analyzed values and
another set from NCC mixing heights as supplied by NWS. Since most users
would not have the expertise to analyze the meteorology, an objective method
was preferred. Both inputs were set to the NCC values so that the model would
default to NCC mixing heights. The NCC mixing height tape was selected from
the available site nearest to the impact area (Charleston, South Carolina).
Spatial and Temporal Grids
The original MTDDIS code was designed to predict the impact for a 24-hour
period corresponding to one full calendar day in the local time zone,
consistent with the recording of NCC and TDF-14 tapes. The MTDDIS
preprocessor code was designed to read 4 contiguous 24-hour periods of
meteorological data along with the corresponding morning and afternoon mixing
heights. Three morning and four afternoon mixing heights were required by the
preprocessor to generate the prediction for a single impact day. These mixing
heights were subsequently used with the remaining meteorological data to
generate hourly mixing height values using a model-specific algorithm. If the
impact day number is labeled day I, the 4-day scenario would be as illustrated
below:
Day No. Surface Data
Mixing Heights Usage/function
1-2
1-1
I
1+1
used as cushion
for trajectory
computation.
trajectories
used as cushion
afternoon only
(both morning
and afternoon)
both
both
buffer
trajectory carry-over,
(may influence day I)
impact day
buffer
B-3
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The 15 release periods and corresponding sampling periods are shown in
Table 3-6. The single impact day limitation was too restrictive for these
cases, and therefore the code was extended to accommodate the larger time
periods. As an example, the sample collection period for case number 1 was
from 2200 hours GMT on 10-05-76 through 1200 hours on 10-06-76. Since MTDDIS
operates using calendar days in Local Standard Time (LST), the MTDDIS modeling
period would be from 0000 Hours LST on 10-05-76 through 2300 hours LST on
10-06-76. The extended model scenario fitting this impact period is
illustrated as follows:
Day No. Surface Data
Mixing Heights Usage/function
10-03-76 used as cushion
10-04-76 (for computing
trajectories)
10-05-76 trajectories
10-06-76 trajectories
10-07-76 used as cushion
afternoon only
(morning and
afternoon) '
both
both
both
buffer
trajectory carry-over,
(may influence day I)
impact day
impact day
buffer
MTDDIS distinguishes between the impact region and the region for the
meteorological data by permitting an independent specification of each. The
spatial grid for concentration calculations was selected as 22 x 24 with a 10
kilometer spacing in both coordinates. Within this grid system, the source at
the Savannah River Plant was by definition at the coordinates (11,12). This
rectangular grid for concentration predictions is the Mercator projection of
the geographical region encompassing the samplers and most of the WBANs. A
somewhat larger region was selected for trajectory calculations to encompass
all the surface stations.
MTDDIS requires input of the surface roughness at each surface station.
The surface roughness at each meteorological station as required by MTDDIS was
determined from land use data by using the 0.5 degree grid as discussed below
in the description of MESOPAC-II.
WBAN station elevations are also required by MTDDIS. For all but the
simulated stations, these values were part of the recorded data. The
remaining simulated stations were derived from tower sites. Their elevations
were available from a previous SRL study and were obtained through a private
communication with Mai Pendergast of the Savannah River Laboratory. The
B-4
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simulated on-site data was an exception since it was derived from a composite
of readings taken from seven various site locations. The effective elevation
in this case was taken as the mean value of the seven elevations.
Model-specific Options
The default values for wind velocity profile exponents and wind direction
shear coefficients were used. The rationale is that, typically, most users
would not have the local values and could not readily obtain them.
MTDDIS provides for user input of deposition-related parameters such as
pollutant deposition velocity and half-life. Since krypton-85 tracer is a
passive tracer, no deposition should occur. The half-life of krypton-85 is
over 10 years, so for practical purposes the depletion due to decay can be
disabled. To eliminate the effects, a special option flag was added to the
code, and internal logic was added to make the code suppress deposition when
the flag is set to a non-zero value. This new feature maintains
upward-compatibility while providing the proper simulation for a passive
tracer. When the flag is non-zero, deposition-related parameters have no
effect regardless of their input values.
PART II: DATA BASE SELECTION AND INPUT PARAMETERS FOR THE ARRPA MODEL
Oklahoma Tracer Study
Source Information
The source information has already been discussed in previous sections.
Only one minor modification was necessary for the ARRPA code, this being to
permit the input of an hourly emission rate to handle the limited 3-hour
source used at Oklahoma. The same hourly rate for emission described above for
the MTDDIS model was incorporated into the ARRPA model so that zeroes would be
read in for the emission rate before and after the release periods, and the
computed average rate would be read in during the three-hour release period.
B-5
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Meteorological Information
The ARRPA model provides a fully self-contained procedure for meteoro-
logical data. The NWS Boundary Layer Model is used to generate the meteorology
for the eastern two-thirds of the United States. This region easily contains
all of the relevant data for the Oklahoma study. The sample case provided by
TVA actually contained the data required for the Oklahoma study of July 1980
and the TVA Meteorological Data Preprocessor Program (MDPP) had already been
run successfully to replicate that data in the course of testing a sample
case. Therefore, all of the meteorological data required by ARRPA were
generated by running the MDPP program.
Spatial and Temporal Grids
July 8 Tracer Release: The first tracer release began at 1900 GMT on July
8, 1980. The start time for meteorological data was selected to be 0500 GMT
(0000 CDT) on July 8. Data were measured at the 600 km samplers until 1900
GMT on July 11. To bracket the data, the computation continued through 2300
GMT on July 11. The emission rate was set to zero outside the 3-hour release
interval.
July 11 Tracer Release; The second tracer release began at 1900 GMT and
continued with a steady emission rate until 2200 GMT on July 11. The sampling
was limited to the 100 km arc in this case, and ended at 0400 GMT July 12. To
bracket the data, the computation started at 0000 GMT on July 11 and continued
through 2300 GMT July 12. The emission rate was set to zero outside the 3-hour
release interval.
Model-Specific Options
The ARRPA model was designed to compute the effects of chemical
conversion and deposition for sulfur dioxide and sulfate compounds, whereas
the Oklahoma tracer study used a passive perflourocarbon PMCH. In order to
adjust for these factors, it was necessary to disable the ARRPA features
B-6
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pertaining to chemical activity and deposition. The PMCH was treated as
passive sulfur dioxide and the sulfate emission rate was set to zero. As
previously noted, the code was modified to permit an hourly emission rate, and
this feature allowed the 3-hour release period to be simulated.
The receptor grid was selected to include the samplers and also to be
compatibile for comparison with other model predictions. Initially, a large
grid of approximately 800 x 1000 kilometers with a 20 km grid spacing was
used, making a 41 x 51 mesh. The lower southwest corner of the grid was taken
as 34.34° N, 100.34° W; the top and bottom grid latitudes are 41.53° N and
34.34° N, respectively. The intent of choosing a large grid initially was to
avoid any preconception about the plume transport and model predictions.
Savannah River Plant Krypton-85 study
Since the ARRPA model uses the NWS BLM tape for meteorological data, and
since the BLM model was not fully operational at the time the 15 SRP
experiments were performed (1976-77), ARRPA could not be run with the SRP
data.
PART III: DESCRIPTION OF MESOPAC CHANGES AND OPTIONS
The MESOPAC model developed by ERT is a meteorological preprocessor used
to provide wind, stability class and mixing height fields for two ERT long-
range transport models: MESOPUFF and MESOPLUME. In the previous ANL/EPA
evaluation with the krypton-85 data from the Savannah River Plant (see Ref.
23), the MESOPAC model was used to provide input data for both MESOPUFF and
RTM-II. In addition, for RTM-II, MESOPAC was modified to incorporate the
methods commonly used by SAI for providing horizontal diffusion coefficient
and "region top" fields on the computational grid. The horizontal diffusion
coefficients were computed as an empirical constant (obtained from scale
considerations) multiplied by the deformation of the wind field, and the
region top was set equal to the mixing height plus 100 m at each grid point.
B-7
-------
The key assumption made in applying the preprocessor, agreed upon by both
Mr. Doug Stewart of SAI and Mr. Joe Scire of ERT, was that the wind components
to be supplied to MESOPAC would be obtained from the rawinsonde soundings by
averaging the reported wind components between the ground and 1500 m MSL. In
this integration, the wind measurements at each level are assumed to represent
values half way to the next higher and next lower levels. Wind speed,
direction and temperature data at a minimum of three levels between the ground
and 1500 m are required for a sounding to be considered valid. (MESOPAC does
not utilize surface wind data from weather stations; it relies solely on
rawinsonde data). During the SRP runs, for most hours, all four rawinsonde
stations reported valid data at the required minimum of three levels up to
1500 m MSL. For a small number of hours, only three stations reported valid
data, and for only one or two hours were there as few as two stations
reporting. MESOPAC handles missing data internally within the code as opposed
to MESOPAC II, which requires replacement data (interpolated or translated
from nearby stations) to be input for all missing data.
For the Oklahoma experiment, all hours between 12Z on July 7, 1980, and
12Z on July 12, 1980,' have data reported for 5 of the 8 rawinsonde sites. At
both Oklahoma City and Topeka one of the required soundings was missing (not
the same hour at each site). At Salem, Illinois, however, only three of the
11 soundings required were reported.
The 15 Savannah River Plant cases were run with MESOPAC as the meteoro-
logical preprocessor providing input to the MESOPLUME model. The two Oklahoma
study cases were processed by MESOPAC for MESOPUFF and MESOPLUME. The RTM-II
model were given input meteorological data processed by ERT's MESOPAC II model
for the two Oklahoma cases.
MESOPAC was run on a 33 by 56 grid for the 15 Savannah River Plant
datasets (320 km in the E-W direction and 550 km in the N-S) direction. For
the two Oklahoma datasets it was run on a 51 by 41 grid (1000 km in the E-W
direction and 800 km in the N-S direction). The grid locations representing
the source, samplers and meteorological data sites for both regions were
provided using an extension of UTM coordinates for zone 17 (centered at 81.00°
W longitude) over the full region for the Savannah River Plant and an
extension of UTM coordinates for zone 15 (centered at 93.00° W longitude) over
the full region for Oklahoma.
B-8
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The transformation of wind components from the earth's surface to the UTM
system were examined to see if any significant corrections needed to be made
to the measured upper air data before input to any of the preprocessor
models. Changes resulting from the transformation were compared with the
errors inherent in the upper air wind. It was determined that such changes
would not be required.
In MESOPAC the option to modify the interpolated wind field to make it
divergence-free was not exercised: the time-interpolation option was selected
as sinusoidal and maximum afternoon mixing heights were constrained to occur
at 2100 GMT (1700 EST) for the Savannah River Plant cases and at 2200 GMT
(1700 CST) for Oklahoma.
PART IV: DATA BASE SELECTION AND INPUT PARAMETERS FOR THE MESOPAC II
WIND FIELD MODEL
Description of MESOPAC II Options
The MESOPAC II preprocessor is a later version of the MESOPAC wind field
preprocessor. MESOPAC is the wind field preprocessor that was used earlier
(Ref. 23) by ANL to run MESOPUFF and RTM-II with the Savannah River Plant
krypton-85 data base. MESOPAC II has been adopted as the meteorological wind
field and mixing height preprocessor for use with MESOPUFF II, RTM-II
(Oklahoma study only), and RADM. The model developers of RTM-II and RADM have
recommended this choice, since they do not have a meteorological preprocessor
with adequate documentation available in a form suitable for use by third
parties.
MESOPAC II accepts both rawinsonde and surface station data in standard
NCC format, and also reads and processes precipitation data from an NCC
tape. Precipitation data are not used in the Oklahoma and SRP computer runs
of the models since both data bases involve the dispersion of passive
tracers. The following list details the available choices and the decisions
made in preparing this preprocessor for use with the Oklahoma and SRP data
bases.
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(1) Statements have been added to the code to allow the preprocessor to
produce wind field data and mixing height data in a format suitable for RADM
and RTM-II. The preprocessor's output was already in suitable format for
MESOPUFF II.
(2) Changes have been made in dimension statements to accommodate the
computational grids selected for both the Oklahoma (41 by 51) and Savannah
River (33 by 56) experiments. The preprocessor was originally set up to
accommodate at most an array of 40 by 40 grid points.
(3) The READ56 preprocessor of MESOPAC II has been bypassed; this
preprocessor reads TDF5600 NCC rawinsonde tapes by using a comprehensive
preprocessor (developed by ANL) to provide input to MESOPAC II identical to
that which READ56 produces. In handling missing soundings at any station, the
next-nearest sounding has been transferred to the station's location for that
hour. This is done because MESOPAC II requires twice-daily data from every
station. The following READ56 options have been adopted and applied to each
rawinsonde sounding:
(a) If both the height and pressure fields were missing,
the level was discarded. If either, but not both, were
missing, the missing one was supplied by interpolation
based on the one present. If, however, either wind
data or temperature data were missing at the level,
then it was discarded unless it was a mandatory
level. The general policy has been to avoid double-
interpolation on a level unless it was a mandatory
level.
(b) If pressure and height were present and either wind
data or temperature data were missing at a level, the
missing data was supplied by interpolation between
adjacent levels
(c) If the above two decision processes resulted in
elimination of a mandatory pressure level, or if a
mandatory pressure level was missing altogether, all of
the data for the mandatory level were supplied by
interpolation on bracketing levels.
(d) The rawinsonde soundings were processed up to and
including the 700 mb mandatory level. Under most
conditions this occurs at about 3000 m above MSL.
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Land use categories at grid points have been obtained from the nearest
value recorded on a 0.5 degree grid in both latitude and longitude . The
MESOPAC II preprocessor has a default table associating land use categories
with average annual roughness heights taken from this report (see Table
B-l). The preprocessor was modified to allow use of the seasonal variations
presented in Ref. 55.
The surface wind speed height option in MESOPAC II was set to the default
of 10 m, which is the actual measurement height at the surface stations.
Default values have also been selected for the following variables:
(a) The Von Karman constant — 0.4
(b) Control variables for input of friction velocity
constants — 4.7 for gamma and 1100 for A (Eqn. 2-21 in
User's Guide).
(c) Control variables for input of mixing height constants
— 1.41 for B, 0.15 for E, 200m for the stepsize in z,
0.0010 deg. K/m for the minimum potential temperature
lapse rate and 2400 for N. (Eqns. 2-24 through 2-27 in
User's Guide).
(d) Control variables for input of wind field variables —
RADIUS=99 grid units, ILWF=2 (vertically averaged winds
from ground to mixing height) and IUWF=4 (upper-layer
winds averaged from mixing height to 700 mb).
(e) The default table for the reduction factor for solar
radiation based on tenths of total opaque sky cover was
used as follows:
TENTHS TOSC FACTOR
0 1.00
1 0.91
2 0.84
3 0.79
4 0.75
5 0.72
6 0.68
7 0.62
8 0.53
9 0.41
10 0.23
(f) Heat flux constant at each grid point — 0.3
(Eqn. 2-2 of User's Manual)
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Table B-l. Surface Roughnesses for Different Land Use Types (in cm)
CAT
1
2
3
4
5
6
7
8
9
10
11
12
SPRING
3.
25.
2.
90.
100.
5.
20.
30.
20.
50.
100.
0.01
SUMMER
20.
30.
5.
90.
100.
10.
20.
30.
20.
50.
100.
0.01
FALL
0.5
20.
0.5
90.
100.
1.
20.
30.
20.
50.
100.
0.01
WINTER
0.1
10.
0.05
90.
100.
0.1
10.
15.
5.
40.
100.
0.02
Description
Cropland and pasture
Cropland, woodland and grazing
Irrigated crops
Grazed forest and woodland
Ungrazed forest and woodland
Subhuraid grassland & semiarid
land
Open woodland grazed
'Desert shrubland
Swamp
Marshland
Metropolitan city
Lake or ocean
land
grazing
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As originally written, the code read the surface data for each station
from the appropriate NCC tape in CD-144 format on a different unit. With the
ANL-developed preprocessor, the model is provided with surface data in this
format. However, with up to 27 surface stations, 27 files would have to be
opened at once to run MESOPAC II. This was beyond the capabilities of many
computer systems, and of the Ridge computer in particular, which has a limit
of opening 19 files at one time. Consequently, all of the surface station
data were written for a single hour in sequence in one file in CD-144 format,
and the preprocessor was modified to read the records sequentially instead of
from separate units.
PART V: DATA BASE SELECTION AND INPUT PARAMETERS FOR THE MESOPUFF,
MESOPLUME, MSPUFF, AND MESOPUFF II MODELS
Introduction
The input parameters and input streams for the MESOPUFF, MESOPLUME, and
MESOPUFF II models were similar, which may be expected since all three models
were developed by the same firm, Environmental Research and Technology
(ERT). The MSPUFF model, developed by the North Dakota Department of Health,
is based on the MESOPUFF model and likewise, has a similar input stream.
Since these four models have a common input parameter list, only one
discussion is needed to examine the variables chosen as input to the models.
Computational Considerations
The computational grid was laid out identically for all four models. The
Savannah River Plant plume calculations were performed over a 28 X 30 grid
with a grid spacing of 10 km, whereas the Oklahoma predictions were made over
a 41 X 41 grid with a grid spacing of 20 km. The models all have a basic
computational time step of one hour with predicted concentrations presented as
averages over one hour periods. Concentrations were predicted at all grid
nodal points as well as at pre-selected non-gridded receptor locations.
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Decision Points
The following is a list of the most important user decisions made in the
choice of input to the models.
(a) All meteorological input values such as wind speed, mixing height and
stability fields were updated every hour (basic time step),
(b) Any chemical transformation such as conversion of sulfur dioxide to
sulfuric acid and removal of pollutants by dry and/or wet deposition was
turned off by an appropriate choice of model input parameters,
(c) A Gaussian vertical concentration distribution was assumed for each
puff for MESOPUFF, MSPUFF, and MESOPUFF II with reflection terms considered
when appropriate. The other choice of instantaneous vertical mixing of the
puffs through the mixed layer was not chosen. This decision was not expected
to be a significant one anyway since the closest sampler to the source was a
distant 28 km at SRP and 91 km at Oklahoma. Vertical mixing through the mixed
layer is expected by then, so either choice should yield essentially
equivalent results at the receptors,
(d) For MESOPLUME, the plume has a vertical Gaussian distribution with no
constraining lid,
(e) The horizontal and vertical dispersion coefficients that are
dependent on PGT stability class are assigned the default values contained in
the code, and
(f) For MESOPUFF, MSPUFF and MESOPUFF II, the following scheme was used
to determine the number of puffs emitted per hour (puff release rate) and the
number of times per hour that puffs would be sampled by the sampling
function. These two decisions represent one of the more difficult challenges
to the user in setting up model inputs. The methodology used was based on the
following observation obtained from model computer runs. It was seen that
when adjacent puff centerpoints were separated by 2 sigma-y, then computed
concentrations differed by no more than ±2% from concentrations as computed by
the models in the limit as puff separation distances go to zero.
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The first step was to determine a sigma-y from Turner's curves for
stability class F. The sigma-y value is to be evaluated at the distance from
the source to the nearest non-gridded receptor. The nearest non-gridded
receptor to the source at the Savannah River Plant is 28 km, whereas, the
nearest receptor to the Oklahoma source is 91 km. Thus, the sigma-y values
were 0.78 km for SRP and 1.9 km for Oklahoma.
The second step was to determine how many puffs to release per hour so
that, based on the maximum wind speed for that case, the distance between puff
centerpoints was less than two times sigma-y. This procedure insures that
adjacent puffs would grow wide enough by the time they reached the first non-
gridded receptor to provide enough overlap to simulate a continuous plume.
The puff sampling rate was then chosen manually for each case such that
the product of the sampling rate (a model input) and the puff release rate (a
model input) was equal to the total number of puffs released per hour as
determined from step two. There was an extra degree of freedom here that was
,up to the user to define. For example, assume that in step two, it was found
that 15 puffs per hour was sufficient to cause puff overlapping at the nearest
receptor. The sampling rate could be chosen to be 3 samplings per hour with a
puff release rate of 5 puffs per hour. Or, the sampling rate could be 5 with
a puff release rate of 3. The product of the two should be equal to 15. It
does not make much difference with respect to the predicted concentration
which value was chosen for the sampling rate or release rate. It has been
suggested that the user choose a smaller factor for the puff sampling rate to
help minimize computer execution time.
This methodology is not the only way to choose the sampling and release
rates. Another way (maybe not the best way) is through trial and error by
actually running various combinations of the two parameters until the user
finds a pair that gives unchanged predictions as compared to a run with a
large number of puffs released per hour (and one sampling rate per hour). The
above described in the previous paragraph is believed to be a good way to
determine a starting pair of values for the sampling and release rates. It
should be emphasized that this methodology requires an estimate of the maximum
wind speed that occurs for a given run. This estimate requires execution of
the wind field model (MESOPAC, MESOPAC II, or MSPACK). That output was
required before specifications of those two parameters. The choices made for
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all four models are presented in Table 4-2. As seen from the table, MSPUFF
was run with a larger puff release and sampling rate than MESOPUFF,
MESOPUFF II, and MESOPLUME. Mr. Steve Weber of the North Dakota Department of
Health suggested changes in these parameters since the Oklahoma and SRP data
bases were different in temporal and spatial scales from the common
application of the model in North Dakota. Suggested were 10 puffs/hr and 10
samplings per hour for the SRP runs and 25 puffs/hr and 25 samplings per hour
for the Oklahoma cases. Larger parameter values were recommended for Oklahoma
due to the short 3-hour period of release and the short 45-min averaging
period for measured ground-level concentrations at the 100-km arc. The
combination of 25 puffs/hr and 25 samplings per hour represents nearly the
maximum number of puffs that may be contained in the grid at one time. For
SRP, the combination of 10 puffs/hr and 110 samplings/hr may still lead to
some inaccuracy for samplers in the near field region of the plume.
PART VI: DESCRIPTION OF RTM-II CHANGES AND OPTIONS
This model was included as part of the earlier ANL/EPA study of two long-
range transport models and was run for the 15 Savannah River Plant cases (Ref.
20). In this phase of our study of long-range transport models, RTM-II was
run for the two Oklahoma tracer experiments. For the new data there were four
changes from our previous choices and procedures.
First, the array sizes for the computational grid were modified to
accommodate the new grid dimensions used for Oklahoma. The model was not run
on the full meteorological grid, and required no buffering of points on the
boundary. To include the source and all of the sampler locations required a
grid of 35 (x) by 33 (y) with the 20 km grid spacing. This grid runs 640 km
north of the source, 600 km east of the source, and 80 km west of the
source. No advantage was gained by enlarging the grid farther for this model.
Second, whereas MESOPAC was previously used as the meteorological
preprocessor for the Savannah River Plant runs, MESOPAC II was employed for
the Oklahoma experiment, as suggested by Mr. Douglas Stewart of SAI. This
means that there was an influence of surface wind measurements (in addition to
rawinsonde measurements) on the input wind field for the model. With MESOPAC,
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only rawinsonde wind measurements averaged over the lowest 1500 meters above
sea level entered the computation of the wind field. In running MESOPAC II to
obtain RTM-II input, the default option was selected of providing winds
averaged from the ground to the mixing height. (For the Savannah River runs,
a constant height of 1500 m was used.)
The source has been given dummy exit conditions of 1 m/s exit velocity, a
1 m radius and 45 deg. C exit temperature, with a stack height of 1 m. It was
represented as a point source. This insures that a plume rise value is
calculated without causing numerical difficulty during model runs. However,
immediately after the plume rise was calculated in the code, it was reset to 1
m, which is the actual release height into the prevailing wind. (In the
Savannah River Plant cases, the actual exit conditions for the stacks were
used.)
Finally, the formula for the horizontal diffusion coefficient used in the
application of RTM-II leads to a grid-sized dependent value that varies as the
square of the grid interval. Consequently, this coefficient was increased by
a factor of four since the grid interval at Oklahoma was 20 km, while that at
the Savannah River Plant was 10 km.
PART VII: DESCRIPTION OF RADM CHANGES AND OPTIONS
The RADM model of Dames and Moore, Inc. is a random walk advection and
diffusion model for predicting mesoscale transport of air pollutants on an
episodic time scale. The model requires surface wind speeds and mixing
heights as data input on a meteorological grid. We have chosen this grid to
be the same as for the other models for the Savannah River Plant and Oklahoma
data bases.
Since the User's Manual was essentially an internal Dames and Moore, Inc.
document, and is not intended to present all of the information that an
unfamiliar user would need to run the model, a number of decisions and changes
had to be made in consultation with Dames and Moore personnel. The most
significant problem was the unavailability of the usual meteorological
preprocessing programs for providing a wind field and location-dependent
mixing heights required as input for RADM. The model developers have
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recommended the use of MESOPAC II to provide this input to their model for
both the Oklahoma and SRP data bases. MESOPAC II represents a wind field and
mixing height model that corresponds most closely to procedures commonly used
by Dames and Moore, Inc. for RADM. MESOPAC II was modified at ANL to provide
the gridded surface winds required by RADM. RADM extrapolates winds as a
function of height internally from the surface wind field. The procedure for
processing surface station data and rawinsonde data is discussed in the
section on MESOPAC II. The maximum of 8 wind levels between 0 and 1500 m
above ground were selected for wind extrapolation to insure the fullest
representation of differential transport with height.
Since topographic input data were used only to compute solar radiation
values, and considering that the topography for both experiments was reason-
ably regular, it was decided not to supply topographic data, although it was
permitted as one of the available options in RADM. On the other hand, surface
roughness values were being supplied at every grid point rather than using a
single default average value for all points. The default value of the
atmospheric transmission coefficient has been adopted (0.65).
The choice of the initial parcel mass has been based on the User's Manual
recommendation that this mass be taken as equal to (total mass released during
travel time to the boundary)/5000. Receptor sizes have also been chosen in
agreement with User's Manual recommendations with respect to grid intervals at
each site.
Other choices that have been made include (a) specification of zero
values for pollutant decay rates, deposition height and deposition velocities
in order to disable the sections of the code that allow net loss of tracer,
(b) specification of the maximum number of parcels contained in the grid as
8500, (c) choice of the default 1000 m maximum horizontal separation and 50 m
vertical separation for parcel lumping, (d) selection of 6500 (the default) as
the number of parcels that survive after lumping, and (e) choice of 5 as the
maximum number of parcels that can be lumped into one.
The RADM computer code was modified to produce concentrations at a
regular grid of receptors in order to facilitate model intercomparisons.
Array sizes for the meteorological grid have been altered to accommodate the
33 by 56 grid at the Savannah River Plant site and the 41 by 51 grid used for
the Oklahoma experiments. The same computational grids as selected for
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MESOPUFF II were used, both of which are somewhat smaller than the meteoro-
logical grids.
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APPENDIX C
DESCRIPTION OF CODE MODIFICATIONS REQUIRED FOR THE EIGHT MODELS*
Reprinted from "Evaluation of Eight Short-Term Long-Range Transport
Models with Field Data, Task II Report: Preparation of Test Cases
and Proposed Statistical/Graphical Evaluation Methods (Revised)" by
A.J. Policastro, M. Wastag, L. Coke, R.A. Carhart, and W.E. Dunn.
Prepared by Argonne National Laboratory, Argonne, Illinois, and the
University of Illinois at Chicago and Champaign-urbana, for U.S.
Environmental Protection Agency, Office of Air Quality Planning and
Standards, Research Triangle Park, NC, July 1985.
-------
INTRODUCTION
This appendix provides a summary for each model of the changes to the
computer codes that were required for application to the Oklahoma and SRP data
bases. Each model consists of a meteorological preprocessor and a plume
dispersion algorithm that are run in sequence. Table 4-1 provided a summary
of the meteorological data needs of each model along with the name of the
meteorological preprocessor it requires for the Oklahoma and SRP sites.
23
Previous work by ANL/UI for the EPA involved the application of
MESOPUFF and RTM-II to the SRP data base. No further discussion of those two
models with that data base will be given here. Also, one model, ARRPA, can be
applied only to the Oklahoma data base. The specialized meteorological
preprocessor to the ARRPA model cannot be run for periods earlier than
1978. In addition, a second model, MTDDIS, could be applied only to the SRP
data base. The RTM-II Model has employed the MESOPAC meteorological
preprocessor for the SRP data base. On the recommendations of the model
developers (and within the bounds of the user's manual), a different
meteorological preprocessor (MESOPAC II) was used for the Oklahoma cases.
C.I. DESCRIPTION OF MTDDIS MODIFICATIONS
The MTDDIS model consists of three codes, AMMXHT, JHTO, and CONMAP, all
of which utilize some FORTRAN IV language features not supported in
FORTRAN 77. AMMHXT is a preprocessor program which combines meteorological
data from selected sites as extracted from a TDF-14 meteorological tape. It
also generates hourly mixing heights from a mixing height tape input based
upon algorithms that perform interpolation using the available meteorological
data. Information describing the emission sources is also processed by
AMMHXT. All data required to make the actual model predictions, except for
user input options, are passed by AMMHXT to subsequent programs by means of
diskfile transfers. JHTO performs the actual trajectory calculations using
the processed meteorological data provided from the output of AMMXHT.
Subsequently, JHTO passes data for post-processing analysis to the CONMAP
program. The CONMAP program produces concentration output which the user can
interpret, including a trajectory plot which is designed for output to a
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standard printer.
ANL/UI made three classes of changes to the codes received from Rockwell
International, Inc. The first class was to make the codes operational on the
ANL Ridge computer, which supports the ANSI X3.9-1978 standard FORTRAN 77
language. The primary objective at that time was that a test case supplied by
the modelers could be reproduced as a check that the model was successfully
ported. Changes of this type consisted primarily of converting non-standard
ENCODE and DECODE statements to internal file conversion methods supported in
FORTRAN 77, and conversion of input/output statements to open and close disk
files.
The second class of changes was to modify the codes to make them
applicable to some special and unique features of the SRP tracer study and to
support the use of the modelers' data base as the source of meteorological and
emission data. The original AMMXHT program provided support for decoding the
character-type data from TDF-14 tape format meteorological data files into
usable numeric form. That code version was required to run the benchmark case
with its TDF-14 tape data. However, after the benchmark case validation, a
different program version was required to access the modelers' data base in
order to run the 15 SRP data sets. To assure validity of the working code, a
special utility program was written to convert the test case input to the same
format that ANL's master preprocessor would produce, then the converted test
case was rerun to confirm the new code.
This second class of changes also included support to extend the impact
period from one day to a maximum of 5 days, and to extend the maximum number
of surface stations from 10 to 26. Many changes in array dimensions were made
throughout the codes for these extensions. The logic design was modified in
places such as DO loops and some loop algorithms were necessarily redesigned.
The modified version also readjusts of wind speed and direction at the 6
simulated tower sites at SRP by employing the actual measurement height in
conjunction with the MTDDIS stability-dependent profile laws. The purpose of
this readjustment was to correct for the 1/7-power law used in the modelers'
data base so that the stability-dependent profile laws within MTDDIS return
the actual reference height values. The last step was to add support for
features such as time-dependent emission rate and suppression of deposition
effects. Fortuitously, these features could be added without sacrificing
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upward compatibility, so the final code versions could reproduce the test case
as well as all the study cases.
A third (and unexpected) class of changes was required to correct code
bugs and logic errors when anomalous results were discovered from examination
of the predictions. This last category of changes was by far the most time-
consuming because the anomalies often occurred in a subtle way, making it
necessary to investigate and thoroughly understand the intended logic of
algorithms within the codes. Since the original programmer was not available
for consultation, special effort was required from both ANL and Dr. I-Tung
Wang of Rockwell International to resolve the problems. Moreover, EPA
guidelines for the project did not permit ANL to disclose model/data
comparisons to the model developers for the purpose of code checking; as a
result, some coding bugs were necessarily resolved by ANL without further
assistance. Special measures were employed to insure that all bugs were
resolved in the final version by running the codes under debug-testing
environments including WATFIV, by inserting and studying internal diagnostic
tests within the codes, and by comparing all aspects of the program outputs
with actual data. Note, however, that all changes made in the course of
debugging were corrections of coding logic only - the MTDDIS model itself
remained unaltered. All coding changes were carefully documented in order to
record every modification made in the source codes.
C.2. DESCRIPTION OF ARRPA MODIFICATIONS
The ARRPA model consists of 4 programs: HEIGHT, MDPP, ARRPA, and
ANALYSIS. Each code was modified to some degree in order to allow the model
to properly handle the two Oklahoma datasets. One modification made
throughout the set of codes was the expansion of the array of possible
receptors for which ground-level concentrations were computed. In order to
encompass the large grid of receptors at Oklahoma plus those required by the
pattern interpretation method, it was necessary to expand array dimensions to
allow up to 2091 receptors as required by a 41 x 51 receptor grid. All arrays
associated with receptors were therefore extended from a dimension of 100 to
2091 (this change was not relevant to MDPP). Of this 41 x 51 receptor grid,
predictions on a subset, 34 x 34, will be used to compare with other models by
C-3
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means of the pattern comparison and graphical methods.
The benchmark case provided by TVA was reproduced exactly from the codes
supplied after making only a few minor changes to adjust for compiler differ-
ences. The revised set of codes have been compiled successfully at ANL on a
variety of machines and compilers, including both FORTRAN IV and FORTRAN 77.
Users should have little difficulty transporting the codes to a system
supporting either language. The code-specific changes are presented below for
each program.
The HEIGHT code supplied by TVA was designed to input receptor heights
relative to mean sea level and generate the x and y grid points. For the
Oklahoma datasets, it was necessary to determine the surface elevations for
(a) a rectangular mesh of receptor points generated by ANL/UI to assist in
interpreting results later, and for (b) x and y coordinates corresponding to
ground-level measurement locations in the experiment. Although the meteor-
ological grid employed by the Boundary Layer Model (BLM) meteorological
preprocessor is on a fixed 80 km by 80 km grid, plume predictions can be made
on a much finer grid using those predicted meteorological data. The HEIGHT
code contains the elevations for each BLM grid point for use in the GRDPTS
interpolation subroutine and for use in the code that generates grid
coordinates from user input specifications on size and spacing. A simple
modification was made to the HEIGHT program to make it generate all receptor
mean sea level heights by means of interpolation from known BLM grid point
values. In this way, receptor elevations would be compatible with BLM grid
point elevations. External input of receptor elevations could have led to
inconsistencies between receptor heights and other heights internally defined
in the code. The new code version generates the rectangular grid,
interpolates to obtain all needed receptor heights, and writes the receptor
coordinates to a file which is compatible as input to the revised ARRPA code.
The MDPP code is designed to read meteorological data from a tape file
prepared by TVA containing predictions taken from the National Weather Service
Boundary Layer Model (BLM). The MDPP code extracts data according to the
start and end times specified on user input cards and writes a new data file
representing the selected time interval; this MDPP output subsequently becomes
the meteorological input data to the ARRPA code. Ideally, only the data
required to make a given prediction is extracted, because the data file may
C-4
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become quite large. However, under circumstances where data are missing, the
original MDPP code could miss the exit test. This can happen because the exit
test is not performed during interpolation to fill in missing hours. The test
in the code compares the current hour read from the BLM data on unit 1 to the
user-specified end time, and the processing terminates only if the two were
exactly equal. Therefore, if BLM data were missing, the interpolation section
of the code could read past the end time without the test being carried out,
and from that point the end test could never be met until the end of file was
processed. This problem was rectified by simply modifying the test
condition. The revised code tests whether the hour associated with the latest
BLM data record is either strictly equal to or greater than the final hour of
data requested. This modification will have no effect on the actual predic-
tions, but it may in some cases reduce peripheral storage requirements for the
unit 2 output file created by the MDPP code.
The ARRPA code was modified to disable the effects of both wet and dry
deposition so that the passive perflourocarbon tracer could be simulated
correctly. ARRPA was designed to compute concentrations of sulfur dioxide and
sulfates as separate quantities. Only one quantity is required for the
tracer, so the sulfur dioxide quantity was chosen to represent the tracer.
The sulfate emission rate, QS04, was set to zero in the user input data.
Additionally, the deposition velocities for both compounds, VDS02 and VDS04,
were initialized to zero in the Block DATA statement. Wet and dry deposition
computation switches were set to OFF by the user input on unit 5. Conse-
quently, the passive tracer is properly represented in terms of the sulfur
dioxide variable in the modified code.
In the Oklahoma experiments, the tracer was released steadily over a
3—hour period and then shut off. The original code assumed a constant
emission rate as specified by the input variable QS02. The code was modified
to implement a time-dependent source by introducing the function QS02FN. The
function provides a release rate for each hour of the run. In the modified
code, each initial plume segment released from the source now contains an
amount of tracer according to the release rate assignment QS021(1) =
QS02FN(hour), instead of QS021(1) = QS02. A user may define a new QS02FN
routine as any arbitrary function as he wishes for each run, but the version
suitable for the Oklahoma data base is coded to return the constant rate QS02
G-5
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during the three-hour time interval of release and zero at all other times.
The user specifies the hour, day, and year that the non-zero emission is to
start and end; as part of model input this specification is made as one
additional unit 5 card. This input could also include the variable QS02,
which is now taken as the emission level during the release interval. The
additional emissions input is passed to the function QS02FN via the /ONOFF/
COMMON block in the revised code.
Several other small changes were made to the ARRPA code. The functions
ARCOS and ARSIN were renamed to the generic FORTRAN 77 standard names, ACOS
and ASIN, respectively, so that the code would be portable to systems using
FORTRAN 77. A provision was added to allow the user to input receptor
coordinates directly from a file on unit 3. This input option is selected by
setting the variable ITYPE to 2 on the user input card. When ITYPE=2, the
code reads in the receptor data using list-directed input compatible with the
output generated by the revised HEIGHT code. This makes it convenient to
enter arbitrary receptor coordinates for up to 2091 receptors without being
limited to the existing grid generation algorithms in the ARRPA code. Some
additions were made to SUBROUTINE CHIGAU to prevent division overflow in
computing GSUM2 in case either QOU or QOU1 is small.
The only major changes to the ANALYSIS program were the array dimension
changes noted previously. However, the concentration data from the ARRPA
output on unit 14 which was being read on unit 1 by ANALYSIS was changed to
unit 14 for consistency, so that both codes refer to the same unit number.
Also, the grid points are now printed to show both linear ordering and
coordinate x-y numbering. These changes have no effect on the actual predic-
tions.
C.3. DESCRIPTION OF MESOPAC (METEOROLOGICAL PREPROCESSOR) MODIFICATIONS
The MESOPAC preprocessor required very few modifications in order to
enable that code to run under ANSI standard FORTRAN 77. The only necessary
changes to assure compatibility with ANSI standard FORTRAN 77 were the inser-
tion of the OPEN statements that define the input/output files.
MESOPAC dimension statements in the code were then expanded to enable the
C-6
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code to run with the Savannah River Plant and Oklahoma meteorological grids.
Arrays such as U,V, and H were dimensioned large enough to handle both the
33 x 56 Savannah River Plant meteorological grid and the 51 x 41 Oklahoma
meteorological grid.
Correct operation of the MESOPAC code on the Ridge 32 minicomputer was
assumed by running Case No. 1 (of the 15 total) of the Savannah River Plant
and comparing the predictions with earlier results done on the IBM
mainframe. A benchmark case provided by ERT, Inc. had already been run
successfully on the IBM mainframe with excellent agreement with the output
provided by ERT.
Logic was added in MAIN and SUBROUTINE NEWMET so that the user would have
the option to output only a portion of the meteorological grid to the
unformatted disk file via logical unit 2. (This is the file that is input
into the MESOPUFF and MESOPLUME models.) The READ statement in MAIN for user
input card number 6 was modified to read in four additional variables, ISTART,
ISTOP, JSTART, and JSTOP. These variables define the extent of the meteor-
ological subgrid in the x any y directions- that is required for output. These
values default to the full meteorological grid defined by IMAX and JMAX if
left blank or zero. The WRITE statements in SUBROUTINE NEWMET that print out
the meteorological grid variables were modified to incorporate the subgrid
delineation variables, ISTART, ISTOP, JSTART, and JSTOP. Two integer switches
were added to permit on option of suppressing the mixing height and/or
stability class output files. These files are large and are not required for
examination in all runs. This option helps maximize the utilization of the
142 Mb disk on the Ridge computer.
C.4. DESCRIPTION OF MESOPUFF MODIFICATIONS
The MESOPUFF Model was run previously for the fifteen Savannah River
Plant datasets on the IBM mainframe at Argonne. In order to make the model
operational on the Ridge 32 mini-computer with its FORTRAN 77 compiler, a few
coding changes were required. The major change involved the editing of the
user input routine, INPARM, and the file manager routine, FILMAN.
Standard ANSI FORTRAN does not allow input in the form of a NAMELIST, so
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all the input statements in SUBROUTINE INPARM had to be rewritten using
list-directed READS with FORMAT statements that describe the data input
stream. Statements were added after every READ statement in SUBROUTINE INPARM
to verify that input variables were within reasonable ranges and to set them
equal to default values if the user did not supply them in the input stream.
Statements were also added to output the input stream to a line printer in
order to facilitate the checking of input variables. In this way, the intent
of the NAMELIST statement could be preserved.
The direct access READ and WRITE statements in SUBROUTINE FILMAN had to
be edited to conform to ANSI standard FORTRAN 77. The argument list of a
direct access READ and WRITE statement requires more information in ANSI
standard FORTRAN 77 than was provided. For example, READ (50'1) had to be
changed to READ (UNIT=50,REC=1) and WRITE (15'INUMB) was changed to WRITE
(UNIT=15,REC=INUMB). Although the file-management system will not be used,
the corrections were needed to achieve an error free compilation. Also, OPEN
statements were added to define and direct the input and output flow.
The model had to be further modified to accept the Oklahoma datasets.
Every array such as XMET, YMET, U, V and HHM, dealing with the meteorological,
computational, and receptor grids in MESOPUFF had to be assigned new dimen-
sions in order to handle the 51 x 41 Oklahoma grid. The dimensions of the
arrays, XRES and YRES, pertaining to receptors that were not part of the grid,
had to be increased also because the number of receptor locations employed in
the Oklahoma experiment exceeded the number allowed for in the code as
received by ANL.
Modifications were made to SUBROUTINE WRITER to obtain the predicted
concentrations in units of parts per 10 for receptors located at both grid
and non-grid positions. These results are then written to a disk file to be
used later as input into the statistical and graphical programs.
An error routine had to be added to correct underflow conditions that
were created on the Ridge with calls to the FORTRAN exponentiation function
EXP. The calculated exponent was often beyond the lower limit for real
numbers on the Ridge and an underflow error would be produced. The error
routine corrects this problem by setting the EXP function value to zero.
The benchmark case provided for the MESOPUFF Model was run and checked on
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the IBM mainframe at Argonne in the summer of 1983 with excellent agreement
between ANL predictions and the ERT prepared computer run. The model was
checked out on the Ridge 32 with that benchmark case as well as with the first
of the 15 SRP datasets. The output from the Ridge run matched the IBM output
for these two cases with only very minor differences in the output caused by
the differences in accuracy of the floating point arithmetic between the two
machines.
Care was taken in all the modifications made so that the MESOPUFF Model
would be entirely in ANSI standard FORTRAN 77. In this way, the model would
be easily transportable, and could be implemented in its current form on
virtually any computer.
C.5. DESCRIPTION OF MESOPLUME MODIFICATIONS
The MESOPLUME benchmark case provided with the code from ERT, Inc. was
run and checked on the Ridge computer to verify that the code was operating
properly on the Ridge. The output produced on the Ridge matched the output of
the same case listed in the user's manual with minor differences in the
results that could be accounted for by differences in the accuracy of the
floating point arithmetic between the two machines used to generate the runs.
Standard ANSI FORTRAN does not allow input in the form of a NAMELIST, so
all the input statements in SUBROUTINE INPARM had to be rewritten using list
directed READs with FORMAT statements that describe the data input stream.
Statements were added after every READ statement in SUBROUTINE INPARM to
verify that input variables were within reasonable ranges. Logic was also
added to set parameters equal to default values if the user did not supply
them in the input stream. Statements were also added to transmit the input
stream to the line printer to facilitate the checking of input variables. In
this way, the intent of the NAMELIST statement could be preserved.
The direct access READ and WRITE statements in SUBROUTINE FILMAN had to
be edited to conform to standard ANSI FORTRAN. The argument list of a direct
access READ and WRITE statement requires more information in ANSI FORTRAN than
was provided. For example, READ (50*1) had to be changed to READ (UNIT = 50,
REG = 1) and WRITE (15'INUMB) was changed to WRITE (UNIT=15,REC=INUMB).
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Although the file management system set up in MESOPLUME is not useful in the
present application to the SRP and Oklahoma datasets, changes were required,
in any case, to achieve an error-free compilation. Also, OPEN statements were
added to define and direct the input and output flow.
A major modification that had to be made to the MESOPLUME Model in appli-
cation to the Savannah River Plant and Oklahoma datasets was the redimen-
sioning of all arrays associated with the meteorological, computational, and
sampling grids. Arrays such as U, V, HHM, and MSTAB were dimensioned large
enough to handle both the 33 x 56 Savannah River Plant grid for the 15 SRP
cases and the 51 x 41 for application to the Oklahoma grid. The arrays that
contained information at receptors that were not at grid locations, such as
XRES and YRES, had to be expanded in order to handle a greater number of
receptors than was originally set up in the code.
MESOPLUME was altered to accept hourly input of the source emission rate
by switching the definition of the emission rate array element, EMISS(2), with
the definition of the emission factor array, ECYCLE (2,N) where N could vary
between 24 and 168 depending upon the dataset. The original array EMISS(2)
represented constant emission rates for S0_ and SO, respectively. For SRP and
Oklahoma, EMISS(l) = 1.0 representing the tracer and EMISS(2) = 0.0. The
array ECYCLE(2,I) provided hourly emission rates. Emission rates are given by
ECYCLE(1,I) with 1=1,N where. N is the number of hours in the run. Zero
emission rates were given for SO^ by means of ECYCLE(2,J) = 0.0 where J=l,N.
ECYCLE has the emission rates read into it on an hourly basis from the user
input stream before the start of the run. The dimension of the array ECYCLE
was suitably determined so that it could handle the total number of hours for
any run.
Statements were added to SUBROUTINE WRITER to convert the predicted
concentrations at the grid and non-grid receptors into proper units for
comparison with observations. These predicted concentrations are converted to
pico-curies/cubic meter for the Savannah River Plant and to parts per 10 for
Oklahoma. They are then written out to a disk file for later processing by
the statistical and graphical programs.
An error routine had to be added to correct underflow conditions that
were created by the Ridge with calls to the FORTRAN exponentiation function
EXP. The calculated exponent was often beyond the lower limit for real
C-10
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numbers on the Ridge and an underflow error would be produced. The error
routine would correct this problem by setting the EXP function value to zero.
Care was taken in all the modifications made so that the MESOPLUME Model
would be in ANSI FORTRAN 77. In this way, the model could be easily
transportable and could be easily implemented on virtually any computer.
C.6. DESCRIPTION OF MSPACK (METEOROLOGICAL PREPROCESSOR) MODIFICATIONS
A major modification that had to be made to the MSPACK meteorological
preprocessor in application to the Savannah River Plant and Oklahoma datasets
was the re-dimensioning of all arrays associated with the meteorological
grid. Arrays such as U, V and H were dimensioned large enough to handle both
the 33 x 56 SRP grid and the 51 x 41 Oklahoma grid.
In addition, statements were added to MSPACK that would produce a
subgrid, if desired, of the predicted meteorological variables as input into
•MSPUFF if the meteorological grid is chosen to be smaller in MSPUFF than it is
in MSPACK. The READ statement in MAIN for user input card number 6 was
modified to read in four additional variables, ISTART, ISTOP, JSTART, and
JSTOP. These variables define the extent of the meteorological subgrid in the
x and y directions. These values default to the full meteorological grid
defined by IMAX and JMAX if left blank or zero. The WRITE statements in
SUBROUTINE WMET that print out the meteorological grid variables were modified
to incorporate the subgrid delineation variables, ISTART, ISTOP, and JSTART,
and JSTOP.
A benchmark case provided by North Dakota Department of Health was run
successfully on the Ridge minicomputer. Model predictions were very close to
those presented in the user's manual for the same case with differences
attributable to the accuracy of the floating point arithmetic between the two
machines.
C.7. DESCRIPTION OF MSPUFF MODIFICATIONS
The same benchmark case used to verify the operation of MSPACK was used
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to test the operation of MSPUFF on the Ridge minicomputer. Predictions agreed
with the values in the user's manual within differences due to floating point
operations on the different computers.
ANSI standard FORTRAN 77 does not allow input in the form of a NAMELIST,
so all the input statements in SUBROUTINE INPARM in MSPUFF had to be rewritten
using list-directed READs with FORMAT statements that describe the data input
stream. Statements were added after every READ statement in SUBROUTINE INPARM
to verify that input variables were within reasonable ranges and to set them
equal to default values if the user did not supply them in the input stream.
Statements were also added to transmit the input stream to a line printer in
order to facilitate the checking of input variables. In this way, the intent
of the NAMELIST statement could be preserved.
The direct access READ and WRITE statements in SUBROUTINE FILMAN had to
be edited to conform to ANSI standard FORTRAN 77. The argument list of a
direct access READ and WRITE statement requires more information in standard
FORTRAN than was provided. For example, READ (50'1) had to be changed'to READ
(UNIT=50,REC=1) and WRITE (15'INUMB) was changed to WRITE
(UNIT=15,REC»INUMB). Although the file management system in MSPUFF will not
be used, corrections were needed to achieve an error-free compilation. Also,
OPEN statements were added to define and direct the input and output flow.
The MSPUFF Model also had to be modified to accept the Savannah River
Plant and Oklahoma datasets. Every array, such as U, V and HHM, dealing with
the meteorological, computational and sampling grids in MSPUFF had to be
assigned larger dimensions in order to handle both the 33 x 56 Savannah River
Plant and the 51 x 41 Oklahoma grids.
MSPUFF was altered to accept hourly input of the source emission rate by
switching the definition of the emission rate array element, EMISS(2),. with
the definition of the emission factor array, ECYCLE(2,N) where N could vary
between 24 and 168 depending upon the datasets. The original array EMISS(2)
represented constant emission rates for S02 and SO^ respectively. For SRP and
Oklahoma, EMISS(l) =1.0 representing the tracer and EMISS(2) = 0.0. The
array ECYCLE(2,I) provided hourly emission rates. Emission rates for the
tracer are given by ECYCLE(1,I) with 1=1,N where N is the number of hours in
the run. Zero emission rates were given for 804 by means of ECYCLE(2,J) = 0.0
where J=1,N. ECYCLE has the emission rates read into it on an hourly basis
C-12
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from the user input stream before the start of the run. The dimension of the
array ECYCLE were determined so that it could handle the total number of hours
for any run.
Statements were added to SUBROUTINE WRITER to obtain the predicted
concentrations at the grid and non-grid receptors. These predicted concen-
trations were converted to pico-curies/cubic meter for Savannah River Plant
and parts per 10 for Oklahoma. These are then written out to a disk file
for later processing by the statistical and graphical programs. Also,
SUBROUTINES TOPLOT and RDAY were added to convert predicted concentrations for
all receptors at grid points to the units given aboves, and to write them out
to a second disk file for later processing.
An error routine had to be added to correct underflow conditions that
were created on the Ridge with calls to the FORTRAN exponentiation function
EXP. The calculated exponent was often beyond the lower limit for real
numbers on the Ridge and an underflow error would be produced. The error
routine would correct this problem by setting the EXP function value to
zero. MSPACK did not require this routine; only MSPUFF needed this modifi-
cation.
Care was taken in all the modifications made so that the MSPACK
preprocessor and the MSPUFF Model would be entirely in standard ANSI
FORTRAN 77. In this way, the preprocessor and the model would be easily
transportable and could be implemented on virtually any computer.
C.8. DESCRIPTION OF MESOPAC II (METEOROLOGICAL PREPROCESSOR)
MODIFICATIONS
A MESOPAC II benchmark case provided by ERT, Inc. was run on the Ridge
computer to verify that the code was working properly. The output produced on
the Ridge matched the output listed in the user's manual with minor
differences that could be explained by the differences in floating point
arithmetic between the two machines.
The first type of modification made to MESOPAC II permitted the code to
run in ANSI standard FORTRAN 77, rather than in FORTRAN IV as originally
provided. OPEN statements were inserted for all input and output files, and
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the handling of character and logical data was changed.
Several FORTRAN IV variable type declaration statements had to be
changed. Standard ANSI FORTRAN 77 does not allow initialization of a variable
on the same line that declares the type of the variable or the dimension of an
array. DATA and assignment statements were used to modify the lines as
required.
Constants like XMIN and XMAX had to be reassigned new values because the
original assignment statements had numerical values that were either too small
or too large to fit the numerical range of the Ridge. XMAX was set equal to
-10~25 instead of -10~75 and XMIN was set equal to 1025 instead of 1075.
The READ statement for the CD144 meteorological data was altered so it
would not contain the array, IPREC, in the input list. Both krypton-85 and
perfluorocarbons are passive tracers, and precipitation data (as an example)
are not used. The FORMAT of the READ statement for SUBROUTINE GETDAT was
thereby modified because the data file is being provided to the model in a
more compact form (due to fewer variables being read in) than the CD144 format
used by the NCC.
The dimensions of all arrays representing data on the meteorological grid
were changed from 40 x 40 to 51 x 56. The minimum required dimensions where
51 x 41 for the Oklahoma datasets and 33 x 56 for the Savannah River Plant
datasets. The number of surface stations permitted (25) and the number of
upper air stations permitted (10) in the original code, as well as the number
of levels in each sounding permitted (79) were all adequate for the Oklahoma
data. That data base has 24 surface stations, 8 upper air stations and no
more that 38 levels in any single sounding. The Savannah River Plant datasets
have 26 surface stations, 4 upper air stations and no more than 30 levels in
any single sounding, so the dimension of arrays relating to surface stations
had to be increased to 26.
In the code as originally supplied by ERT, the hourly data for each
surface station was read in on a separate unit (or "file number"). The data
for each upper air station was also read in on a separate unit. Thus, one
would have to open more than 24+8=32 units to run the Oklahoma cases, and
26+4=30 units to run the Savannah River Plant cases. The Ridge has a limit of
19 on the number of simultaneous units (or "files") that can be opened. A
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separate unit was maintained for each of the upper air stations, but all of
the surface station data (CD144 format) was combined into a single file, with
all available stations for a single hour occurring together.
A set of 10 integer switches was installed to allow for subsets of the
massive gridded output data from MESOPAC II to be printed out. For most runs
only -values of two wind components and of the mixing height need to be
shown. The code, as supplied, also prints out hourly gridded values at grid
points of two other wind components, the surface wind speed, the boundary
layer height, the friction velocity, the convective velocity scale, the Monin-
Obukhov length and the PGT stability class. This massive output would be
wasteful and difficult to process, especially considering the large grids
being used. With the switches, a variety of printed output options can be
selected. In addition, a section has been adddd to the code, applicable
mainly to the Savannah River Plant data cases (which span all four seasons),
that computes the surface roughness lengths as a function of season from the
available values of the land-use category.
A section of code was installed in subroutine OUTHR to provide hourly
meteorological data at the grid points for RTM-II and RADM. The required grid
values are written out in binary files with unformatted WRITE statements to
save machine storage space. The nature of these files for RTM-II for the
Oklahoma datasets (provided on a 34 x 34 grid that is a subset of the full
meteorological grid) is as follows:
(i) Layer 1 wind components are written to the MDF file, having been
computed as an average from the ground up through the mixing height.
(ii) The exposure class is also written to the MDF file. Exposure
class is closely related to PGT stability class, and is computed from it and
the wind speed.
(iii) The horizontal diffusion coefficient is written to the HDFSN
file. It is computed as a constant BETA times the "deformation" of the wind
field, but is constrained to lie between specified maximum and minimum values,
KHMAX and KHMIN. For the Oklahoma cases, the values of BETA, KHMAX and KHMIN
2
were multiplied by (20km/10km) = 4, since the relationship between wind field
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deformation and K., supposed to be proportional to the square of the grid step
size. The grid size is 20 km for the Oklahoma cases and 10 km for the SRP
cases; in this way, values for the SRP cases determined in the earlier model
validation work (Ref. 18), are being adjusted for the Oklahoma site.
(iv) The mixing height is written to the MIXHT file.
(v) The region top is computed as the maximum mixing height over the
grid at the current hour plus 100m, and is written to the RGNTP file.
The files that are computed and written to disk for the RADM Model are
the following:
»
(i) Grid values (51 x 41 for Oklahoma and 33 x 56 for SRP) of the
lower layer wind components are written to the file RADMWF, having been
computed as an average from the ground up through the mixing height.
(ii) Grid values (51 x 41 for Oklahoma and 33 x 56. for SRP) of the
mixing height are written to the file RADMHTM. These values are used also as
a reference height for the computation of "surface" wind values. The code as
supplied by Dames & Moore uses a single reference height, but this has been
modified to use a gridded reference height set equal to half of the mixing
height at each grid point. The discussion of the computation of "surface"
wind values is given in Part XI.
(iii) Grid values (51 x 41 for Oklahoma and 33 x 56 for SRP) of the
surface roughness length are written to a file denoted RADMHTR.
(iv) Average values of cloud ceiling, the potential temperature
gradient in both the mixing layer and in the inversion, the total opaque sky
cover, the PGT stability class, and the surface temperature are written to
various diskfiles.
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C.9. DESCRIPTION OF MESOPUFF II MODIFICATIONS
The MESOPUFF II benchmark case provided by ERT, Inc. was run on the Ridge
computer to verify that the code was working properly. The output produced on
the Ridge matched the output listed in the user's manual with minor differ-
ences that could be explained by the differences in floating point arithmetic
between the two machines used to generate the runs-
All MESOPUFF II revisions sent from ERT, Inc. through EPA during the past
year were included in the code with a test run made to insure an error free
run after each set of additions was implemented. Three revisions were sent in
October 1984, February 1985, and May 1985.
A major modification that had to be made to the MESOPUFF II Model in
application to the Savannah River Plant and Oklahoma datasets was the
redimensioning of all arrays associated with the meteorological, computational
and sampling grids. Arrays such as US, VS, UUP, and VUP were dimensioned
large enough to handle both the 33 x 56 Savannah River Plant grid and the 51
x 41 Oklahoma grid. The arrays that contained the CD144 meteorological data
had to be re-dimensioned to accept all the surface stations. Arrays such as
PAMT, TEMPK and IRH were enlarged to handle the 26 surface stations for the
Savannah River Plant datasets.
Several FORTRAN variable type declaration statements had to be changed.
Standard ANSI FORTRAN 77 does not allow initialization of a variable on the
same line that declares the type of the variable or the dimension of the
array. DATA statements and assignment statements were used to modify the
lines where needed.
The constant, DMIN2, used in MAIN, SUBROUTINE WET, and SUBROUTINE FINDOZ
had to be reassigned the value of 10 because the original assignment of 10
was beyond the computer's numerical range. Likewise, the constants, XMIN and
XMAX, in SUBROUTINE OUT had to be reassigned numerical values with exponents
+30 and -30, respectively, instead of +75 and -75.
MESOPUFF II was altered to accept an hourly input of the source emission
rate by expanding the emission rate array, EMIS. EMIS is now a two-dimen-
sional array with the first index representing the pollutant (only the first
index is used for SRP and Oklahoma, representing the tracer) and the second
C-17
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index indicating the particular hour in the day. Input subroutine INPARM was
modified to read in the source emission rate on an hour by hour basis. Every
statement in the code containing the variable, EMIS, was modified to account
for the new index.
Statements were added in MAIN to convert the units of the predicted
concentrations at both the grid and non-grid receptors. As noted in Chapter
1, the predicted concentrations were converted to pico-curies/cubic meter in
the Savannah River Plant computer runs and to parts per 10 in the Oklahoma
computer runs. These predicted concentrations are then written to a disk
file for later processing by the statistical and graphical programs.
An error routine had to be added to correct underflow conditions that
were created on the Ridge with calls to the FORTRAN exponentiation function
EXP. The calculated exponent was often beyond the lower limit for real
numbers on the Ridge and an underflow error would be produced. The error
routine would correct this problem by setting the EXP function value to
zero. Care was taken in all the modifications made so that the MESOPUFF II
code would be in ANSI standard FORTRAN 77. In this way, the model would be
easily transportable and could be easily implemented on virtually any
computer.
C.10. RTM-II MODIFICATIONS (OKLAHOMA ONLY)
In order to run the RTM-II model on the Ridge computer, a number of
changes had to be made. Differences between the ANSI standard FORTRAN IV
language in which the code was provided by SAI and the ANSI standard FORTRAN
77 language available on the Ridge had to be resolved. This included adding
OPEN statements for input and output files. It also required changing how
character and logical variables were treated.
The first Savannah River Plant case (previously run on the IBM mainframe)
was rerun on the Ridge computer to verify that the model was properly modified
to run on this computer. Predictions were compared to those obtained on the
IBM mainframe during the summer of 1983. The small differences noted were
consistent with the differences between the IBM mainframe and the Ridge mini-
computer in single precision arithmetical accuracy.
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Proper units were obtained for output concentrations as indicated in
Chapter 1. For the Savannah River Plant datasets, the relative factor of 10
(conversion factor between micro- and pico-curies) between input and output
units required no changes to the emissions as read in or to the concentrations
provided as output except for proper labeling. For the Oklahoma datasets, the
simplest way to achieve proper output concentration units was simply to
multiply emission rates by the factor 9.03 x 10 immediately after they were
read in. Printed labels were changed accordingly.
Labeling of a variety of output records had to be changed to correspond
to the type of tracer and other information peculiar to the Oklahoma data
base.
The other major changes that had to be made to this model in order to
produce predictions for the Oklahoma cases related to an expansion of the
original dimensions of the grid arrays in the model. As originally supplied,
the dimensions of all grid arrays were 30 x 30. To apply the model to the
Savannah River Plant krypton-85 experiment, the computational grid size was
increased to 33 x 56, employing an externally-read grid step of 10 km along
both axes. For the Oklahoma runs, the computational grid size was changed to
34 x 34, with an externally-read grid step set of 20 km along both axes.
These dimensions are smaller than used for the meteorological grid, which is
51 x 41, but sufficient for this model to include the source and all receptor
locations. In this model one does not need to leave a computational "cushion"
around the edges of the active region (as required by MESOPUFF, MESOPUFF II,
MESOPLUME, and MSPUFF) in order to obtain accurate results for receptors near
the boundary of the computational grid.
The gridded quantities whose dimensions required expansion included the
following:
X-component of the average wind
Y-component of the average wind
Mixing height
Stability class or "exposure class"
Horizontal diffusion coefficient
Region top
Rain (not used)
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Boundary conditions
Lower and upper layer concentrations
One significant prior change that was made in RTM-II in order to prepare
the earlier SRP predictions, was to add logic for handling time-dependent
emissions in the model. As supplied by SAI, the model could only handle the
same hourly pattern of emissions for every day in a given run, whereas the
emissions data for both data bases had time-dependent emissions that did not
have the same daily pattern.
C.ll. DESCRIPTION OF RADM MODIFICATIONS
As supplied to EPA by Dames & Moore, Inc., this code was not written in
ANSI standard FORTRAN IV. It relied heavily on "banking" of common blocks and
other types of data, which is similar to using INCLUDE statements in FORTRAN
IV. Use of this programming method is available at some installations,'but is
not standard. These statements had to be commented out and COMMON blocks
added. Also, it was necessary to add OPEN statements for each of the 7 input
files and 3 output files required by the model. As with the other models, the
handling of character and logical data had to be altered to meet the ANSI
standard for FORTRAN 77.
The dimensions of the arrays containing meteorological and surface type
data in grid form were modified to accommodate the values of 33 x 56 for the
Savannah River Plant datasets, and to 51 x 41 for the Oklahoma data. This
makes the full meteorological region available as a computational region for
RADM, thus avoiding any bias of results due to boundary effects. The model
allows for specification of 150 receptors. In the Oklahoma study, there are
54 active receptors, while in the Savannah River study there are only 13. No
change in the size of receptor-related arrays was necessary. Obviously, with
a single source for each data base, there was no need to increase the
available size of arrays relating to source characteristics, since RADM allows
for 150 sources. This model has been provided to EPA with documentation
more appropriate for internal use by Dames & Moore, Inc., than by external
users. In particular, the input meteorological data files are not documented,
because the model is supposed to be used in conjunction with meteorological
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-------
models available within Dames & Moore, Inc. Although these meteorological
preprocessor codes have inputs that are documented in the RADM User's Manual,
their output, which constitutes input for RADM, is not documented. The format
of these files had to be determined from the code itself, and verified with
Dames & Moore personnel. Dames & Moore, Inc. was unwilling to release any
version of their wind field and mixing height preprocessor programs, DEPTH,
WNDSRF, and WIND3D. They cited that their versions of these programs had not
been released by their quality assurance department. The RADM representatives
recommended the use of MESOPAC II predictions as gridded hourly input meteor-
ological data for RADM.
The meteorological data in grid form that RADM requires on an hourly
basis are the two wind components and the mixing height. A surface wind
field modified by upper air data is typically used for RADM. In this sense,
the wind field includes the influence of winds aloft. On a one-time basis,
the user also has to supply grid values of roughness heights and surface
elevations for the site of interest. The surface elevations are used only to
determine solar insolation, and did not need to be supplied in the Oklahoma
and SRP cases. MESOPAC II has been altered to supply the modified surface
winds on an output file named RADMWF, the mixing heights on a file RADMHTM,
and the surface roughness values on an output file named RADMHTR. These files
are all unformatted binary files which saves disk space. The corresponding
READ statements for each of these files has been modified to read the
unformatted files properly.
Instead of only supplying actual surface winds to RADM (which would
utilize only CD144 surface weather data), MESOPAC II has been programmed to
provide the lower-level (Layer 1) wind field for RADM for use as the modified
wind field. The Layer 1 field was obtained by averaging the wind, from the
ground to the mixing height at each grid point. The RADM model has also been
changed to utilize half of the mixing height at each grid point as the
reference height for the wind field, instead of relying on a single reference
height for the entire meteorological grid, as originally coded. This method
of obtaining the wind field for input to RADM was felt to be consistent with
the usual way Dames and Moore, Inc. applies one of their three wind models in
that the modified surface wind includes the true surface wind data but
suitably adjusted by upper air data. It should be recognized that the actual
C-21
-------
surface wind data (unaltered by upper air data) is being used directly to
develop Pasquill stability classes in RADM. As a result, two wind fields were
output from MESOPAC II for RADM input: the modified surface winds for plume
transport and the true surface wind data for Pasquill stability class
determination.
Subroutine CONCEN in RADM is called from the MAIN program during the main
time loop to provide both (a) instantaneous concentrations for the puffs at
the end of each time step, and (b) average concentration values (measured from
some user-specified input time) at each of the grid points receptors specified
to the code. This feature is retained to provide predictions at the non-grid
receptors, both for the Savannah River Plant and Oklahoma datasets. However,
based on the needs of the current model evaluation work, hourly average
concentration values are required both at the non-grid receptors and for
points on the fixed grid of receptors (34 by 34 for Oklahoma and 22 by 24 for
SRP). Statements were added to the RADM code to average the instantaneous
concentrations computed at the end of each time step for the purpose of
obtaining hourly average concentration predictions at the non-grid receptors.
For the purpose of obtaining hourly averaged concentrations at the
prediction grids noted above, a new subroutine GCONC was introduced, which is
a very similar to the CONCEN routine. It is called just after CONCEN in the
program MAIN. It provides hourly averaged concentrations on the 34 x 34 grid
for the Oklahoma datasets and on the 22 x 24 grid for the Savannah River Plant
datasets. Thus, hourly averaged concentrations at grid locations are now
printed out by the code at hourly intervals along with instantaneous and
hourly-averaged values at the non-grid receptors.
C-22
-------
APPENDIX D
COMPLETE STATISTICAL COMPARISONS OF THE EIGHT MODELS
WITH THE OKLAHOMA AND SAVANNAH RIVER PLANT DATA BASES
-------
INTRODUCTION
This appendix provides the complete results of the application of the AMS
statistics to the predicted/observed pairs obtained from the model/data
comparisons. Listed first are the actual predictions and observations for
each of the 15 Savannah River Plant data sets and the two Oklahoma data
sets. They are presented in tabular form and are helpful in gaining an
appreciation of the differences that can occur among the models for the same
receptor during the same averaging period. The Savannah River Plant tables
are presented first followed by the Oklahoma tables. A brief legend is
provided on the next two pages to guide the reader in his interpretation of
the tables. These tables were used in the preparation of the analyses using
the AMS statistics.
Following the tabular list of model predictions and data values are the
complete AMS statistical tables for the Oklahoma and SRP sites. The A and B
tables are presented first for the Oklahoma and then the SRP data sets. Note
that the B-l tables were not presented in Chapter 5 yet are presented here for
the reader who wishes to examine the performance of the models on a receptor-
by-receptor basis. Some of the results from the A-l and B-l tables should be
treated with caution since the number of pairs that were used in preparing
those statistics were not large.
This appendix is divided into two parts. Part I presents the tabular
listing of the predictions for each of the models and the observations from
each of the Oklahoma and SRP data sets. Part II provides a complete
presentation of the AMS statistical results.
D-l
-------
Part I: Tabular Listing of the Predicted and Observed Ground-level
Concentrations for each of the SRP and Oklahoma Data Sets.
D-2
-------
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D-3
-------
Note: Case 1-A indicates SRP Case 1 - Event A
Case 2-A indicates SRP Case 2 - Event A
Case 2-B indicates SRP Case 2 - Event B
Case 15-D indicates SRP Case 15 - Event D
Case 20-A indicates OKL Exp 1 (100 km arc) - Event A
Case 20-G indicates OKL Exp 1 (100 km arc) - Event G
Case 30-A indicates OKL Exp 1 (600 km arc) - Event A
Case 30-F indicates OKL Exp 1 (600 km arc) - Event F
Case 40-A indicates OKL Exp 2 (100 km arc) - Event A
Case 40-H indicates OKL Exp 2 (100 km arc) - Event H
D-4
-------
DD KM YY JUL SI HOUR DUR DBS PUFF1 PLUME MSPUFF PUFF2 HTDDIS ARRPA RTM2 RADM
CASE 1-A
5 10 76
5 10 76
5 10 76
5 10 76
5 10 76
5 10 76
5 10 76
CASE 2-A
14 10 76
14 10 76
14 10 76
14 10 76
14 10 76
14 10 76
14 10 76
14 10 76
14 10 76
14 10 76
14 10 76
14 10 76
CASE 2-B
15 10 76
15 10 76
15 10 76
15 10 76
15 10 76
15 10 76
15 10 76
15 10 76
15 10 76
15 10 76
15 10 76
CASE 2-C
15 10 76
CASE 3-A
29 10 76
29 10 76
29 10 76
29 10 76
29 10 76
20 10 76
29 10 76
29 10 76
29 10 76
CASE 3-B
29 10 76
29 10 76
29 10 76
29 10 76
29 10 76
29 10 76
29 10 76
29 10 76
CASE 4-A
18 11 76
18 11 76
18 11 76
18 11 76
18 11 76
18 11 76
13 11 76
18 11 76
18 11 76
18 11 76
13 11 76
ID 01 RECP 07
279 2 2200 14.0
279 5 2200 14.0
279 6 2200 14.0
279 10 2200 14.0
279 11 2200 14.0
279 12 2200 14.0
279 14 2200 14.0
ID 02 RECP 12
288 2 2200 15.0
288 3 2300 13.0
2S8 4 2200 14.0
2S8 5 2200 14.0
233 6 2200 14.0
288 7 2200 15.0
238 9 2200 14.0
2SS 10 2200 13.0
2S3 11 2155 14.0
288 12 2200 14.0
283 13 2100 15.0
233 14 2225 14.0
ID 02 RECP 11
289 2 1300 8.0
239 3 1200 7.0
239 4 1300 8.0
239 5 13CO 8.0
289 6 1300 8.0
239 7 1300 8.0
289 8 1345 7.3
239 9 1300 7.9
289 10 1200 9.0
2S9 12 1300 8.0
289 13 1315 7.2
ID 02 RECP 01
289 9 2200 14.0
ID 03 RECP 09
303 2 900 10.0
303 3 900 10.0
303 4 900 10.0
303 5 900 10.0
303 6 900 10.0
303 7 900 10.0
303 9 900 10.0
303 10 900 10.0
303 14 900 10.0
ID 03 RECP OS
303 2 2100 10.0
303 3 2100 10.0
303 4 2100 10.0
303 5 2100 10.0
303 6 2100 10.0
303 10 2100 10.0
303 12 2100 10.0
303 14 2100 10.0
ID 04 RECP 11
323 2 1000 10.0
323 3 1000 10.0
323 4 1000 10.0
323 6 1000 10.0
323 7 1000 10.0
323 8 1000 10.0
323 10 1000 10.0
323 11 1430 5.5
323 12 1000 10.0
323 13 1000 10.0
323 14 1000 10.0
GR 01
172.8
1.0
1.4
0.
0.
360.0
659.9
GR 03
0.7
2.0
0.
0.
0.9
0.
0.
31.6
0.
0.
0.
0.
0.
0.
1.1
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0.
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33.0
28.4
20.6
0.
1.6
175.4
GR 02
178.7
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0.
0.
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331.0
141.6
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226.5
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0.
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30.6
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0.
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7.7
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0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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0.
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D-5
-------
DD KM YY JUL SI HOUR DUR OBS PUFF1 PLUME MSPUFF PUFF2 HTDOIS ARRPA RTM2 RADM
CASE 4-B ID 04 RECP 12
18 11 76 323 2 2200 10.0
18 11 76 323 3 2200 10.0
18 11 76 323 4 2200 10.0
18 11 76 323 5 2200 10.0
18 11 76 323 6 2200 10.0
18 11 76 323 7 2200 10.0
18 11 76 323 8 2200 10.0
18 11 76 323 9 2200 10.0
18 11 76 323 10 2200 10.0
18 11 76 323 11 2200 10.0
18 11 76 323 12 2200 10.0
18 11 76 323 14 2200 10.0
CASE 4-C ID 04 RECP 11
19 11 76 324 2 1000 10.0
19 11 76 324 3 1000 10.0
19 11 76 324 4 1000 10.0
19 11 76 324 5 1000 10.0
19 11 76 324 6 1000 10.0
19 11 76 324 8 1000 10.0
19 11 76 324 10 1000 10.0
19 11 76 324 11 1000 10.0
19 11 76 324 12 1000 10.0
19 11 76 324 13 1000 10.0
19 11 76 324 14 1000 10.0
CASE 4-D ID 04 RECP 09
19 11 76 324 2 2200 10.0
19 11 76 324 3 2200 10.0
19 11 76 324 4 2200 10.0
19 11 76 324 5 2200 10.0
19 11 76 324 9 2200 10.0
19 11 76 324 11 2200 10.0
19 11 76 324 12 2200 10.0
19 11 76 324 13 2200 10.0
19 11 76 324 14 2200 10.0
CASE 5-A ID 05 RECP 06
2 2 77 33 2 1000 10.0
2 2 77 33 3 1200 9.9
2 2 77 33 4 1000 10.0
2 2 77 33 5 1000 10.0
2 2 77 33 11 1000 10.0
2 2 77 33 14 1000 10.0
CASE 5-B ID 05 RECP 06
2 2 77 33 2 2200 10.0
2 2 77 33 4 2200 10.0
2 2 77 33 5 2200 10.0
2 2 77 33 11 2200 10.0
2 2 77 33 13 2145 10.0
2 2 77 33 14 2200 10.0
CASE 5-C ID 05 RECP 07
3 2 77 34 2 1000 10.0
3 2 77 34 3 1000 10.0
3 2 77 34 4 1000 10.0
3 2 77 34 5 1000 10.0
3 2 77 34 11 1COO 10.0
3 2 77 34 13 1000 10.0
3 2 77 34 14 1000 10.0
CASE 5-D ID 05 RECP 06
3 2 77 34 2 2200 10.0
3 2 77 34 3 2200 10.0
3 2 77 34 4 2200 10.0
3 2 77 34 5 2200 10.0
3 2 77 34 13 2145 10.0
3 2 77 34 14 2200 10.0
0.
0.
0.
0.
0.6
43.0
64.0
23.9
48.0
5.9
0.
0.
0.
0.
0.1
2.8
0.
238.9
0.9
0.
0.
1.3
0.
0.
0.
0.
0.
10.8
0.
0.
0.
0.
GR 04
1.7
0.
0.
0.
0.
101.7
12.8
0.
0.
0.
5.9
1.4
1.2
0.
0.
0.
0.
0.
417.6
2.3
0.1
0.
0.
82.4
71.2
0.
0.
0.
0.
118.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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146.4
0.
0.
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0.
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8.9
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0.
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751.8
0.
0.
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0.
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192.6
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0.
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20.8
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38.8
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0.
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99.8
56.4
0.
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0.
0.
0.
0.
852.9
339.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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140.4
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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170.4
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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0.
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0.
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48.8
25.3
0.
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0.
0.
0.
0.
0.
0.
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296.5
0.
0.
0.
0.
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0.
0.
0.
0.
0.
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0.
0.
0.
0.
0.
0.
0.
157.9
1.8
0.
0.
16.9
4.7
17.4
0.
0.
0.
0.
20.0
2.5
0.
0.
0.
0.
0.
1.1
0.
0.
0.
0.
0.
0.
11.0
121.6
20.9
26.5
1.2
0.
0.
0.
0.
0.
0.
0.1
755.8
22.7
46.3
0.
72.8
0.
0.
0.
0.
0.
68.0
7.2
0.
17.6
0.
0.
15.6
0.
0.
0.
58.2
0.5
0.1
0.
0.
0.
51.2
153.1
5.2
1.7
0.4
2.5
0.2
1911.0
23.6
5.5
0.8
0.2
0.4
87.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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200.4
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
110.0
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
261.1
0.4
15.2
0.
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0.
6.9
3.9
66.4
3.8
125.7
0.
0.
0.
0.
592.8
507.6
1.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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134.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
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377.0
0.
0.
0.
0.
0.
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0.
0.
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0.
0.
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0.
0.
0.
0.
152.1
390.0
D-6
-------
DD-KM YY JUL SI HOUR DUS 033 PUFF1 PLUME MSPUFF PUFF2 MTDDIS ARRPA RTM2 RADM
CASE 6-A
16 2 77
16 2 77
16 2 77
16 2 77
16 2 77
16 2 77
16 2 77
16 2 77
16 2 77
16 2 77
16 2 77
CASE 6-B
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
CASE 6-C
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
17 2 77
CASE 6-D
18 2 77
18 2 77
18 o 2 77
18 2 77
18 2 77
18 2 77
18 2 77
18 2 77
18 2 77
18 2 77
18 2 77
18 2 77
CASE 6-E
18 2 77
18 2 77
18 2 77
18 2 77
13 2 77
18 2 77
18 2 77
ID 06 RECP 11
47 2 2200
47 3 2200
47 4 2200
47 5 2200
47 6 2200
47 7 2200
47 9 2200
47 11 2200
47 12 2200
47 13 2145
47 14 2200
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
GR 05
0.
0.
0.
0.
35.5
0.
0.
0.1
0.
0.
0.
0.
0.
0.
0.
426.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
520.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
2.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
651.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
ID 06 RECP 12
48 2 1000
48 3 1000
48 4 1000
48 5 1000
48 6 1000
48 7 1000
48 8 1000
48 9 1000
48 10 1000
48 12 1000
48 13 945
43 14 1000
11.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
0.
0.
0.
56.0
38.0
0.
9.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
57.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
129.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
18.7
27.5
12.6
0.
0.
0.
0.
0.
0.
1.3
0.
14.3
782.4
1.9
1.4
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
82.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1119.5
0.
0.
0.
0.
0.
0.
0.
ID 06 RECP 11
48 2 2200
48 3 2200
48 4 2200
48 6 2200
48 7 2200
48 9 2200
48 10 2200
48 11 2200
48 12 2200
48 13 2200
48 14 2200
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
1.3
2.2
0.
23.8
243.9
15.9
0.8
0.6
0.
0.
0.
0.
0.
0.
0.
13.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
21.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
3.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
8.7
7.7
0.
0.
0.
0.
0.
0.
0.3
0.
73.0
7.6
0.4
0.8
0.
0.
0.
0.1
0.
0.
0.
0.
0. "
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.5
12.0
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
22.6
147.0
0.
0.
0.
0.
0.
ID 06 RECP 12
49 2 1000
49 3 1000
49 4 1000
49 5 1000
49 6 1000
49 7 1000
49 8 1000
49 9 1000
49 10 1000
49 11 1000
49 12 1000
49 14 1000
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
0.
0.
0.
0.
7.3
33.2
9.5
126.5
149.1
242.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
1602.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1089.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
465.9
2171.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
193.6
179.9
20.5
49.9
176.0
0.
0.
10.6
33.1
6.1
23.1
97.8
279.0
286.1
307.5
537.2
265.8
67.4
79.0
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
78.4
613.3
55.9
0.5
0.
0.
0.
0.
0.
0.
0.
0.
56.6
431.9
92.1
29.5
0.
0.
ID 06 RECP 07
49 2 2200
49 6 2200
49 7 2200
49 8 2200
49 9 2200
49 10 2200
49 14 2200
10.0
10.0
10.0
10.0
10.0
10.0
10.0
2.4
0.
1.3
0.3
33.9
107.9
0.
0.
0.
0.
0.
13.6
0.
0.
0.
0.
0.
0.
34.2
0.
0.
0.
0.
0.
491.3
0.
0.
0.
0.
0.
203.1
313.4
0.
0.
0.
0.3
2.0
10.2
10.2
27.4
121.1
1.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
34.3
77.7
0.
0.
0.
0.
209.9
282.1
0.
0.
0.
D-7
-------
DO MM YY JUL SI HOUR DUR DBS PUFF1 PLUME MSPUFF PUFF2 MTDDIS ARRPA RTM2 RADM
CASE 7-A
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
CASE 7-B
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
22 2 77
CASE 8-A
5 4 77
5 4 77
5 4 77
5 4 77
5 4 77
5 4 77
5 4 77
5 4 77
CASE 8-B
6 4 77
6 4 77
6 4 77
6 4 77
6 4 77
6 4 77
6 4 77
6 4 77
6 4 77
6 4 77
CASE 8-C
6 4 77
6 4 77
6 4 77
6 4 77
6 4 77
6 4 77
6 4 77
6 4 77
CASE 8-D
7 4 77
7 4 77
7 4 77
7 4 77
7 4 77
7 4 77
7 4 77
7 4 77
7 4 77
7 4 77
7 4 77
7 4 77
ID 07 RECP 13
53 2 1000 10.0
53 3 1000 10.0
53 4 1000 10.0
53 5 1000 10.0
53 6 1000 10.0
53 7 1000 10.0
53 8 1000 10.0
53 9 1000 8.0
53 10 1000 10.0
53 11 1000 10.0
53 12 1000 10.0
53 13 945 10.0
53 14 1000 10.0
ID 07 RECP 12
53 2 2200 10.0
53 3 2200 10.0
53 5 2200 10.0
53 6 2200 10.0
53 7 2200 10.0
53 8 2200 10.0
53 9 2000 10.0
53 10 2200 10.0
53 11 2200 10.0
53 12 2200 10.0
53 13 2145 10.0
53 14 2200 10.0
ID 08 RECP 08
95 3 2200 10.0
95 4 2200 10.0
95 5 2200 10.0
95 8 2200 10.0
95 11 2200 10.0
95 12 2200 34.0
95 13 2115 10.0
95 14 2200 10.0
ID 08 RECP 10
96 2 1000 10.0
96 4 1000 10.0
96 5 1000 10.0
96 6 1000 10.0
96 7 1000 10.0
96 8 1000 10.0
96 10 1000 10.0
96 11 1000 10.0
96 13 915 10.0
96 14 1400 6.0
ID 08 RECP 08
96 3 2200 10.0
96 4 2200 10.0
96 6 2200 10.0
96 7 2200 10.0
96 8 2200 10.0
96 10 2200 10.0
96 13 2115 10.0
96 14 2200 10.0
ID 03 RECP 12
97 2 1000 10.0
97 3 1000 10.0
97 4 1000 10.0
97 6 1000 10.0
97 7 1000 10.0
97 8 1000 10.0
97 9 1000 10.0
97 10 1000 10.0
97 11 1000 10.0
97 12 1000 10.0
97 13 915 10.0
97 '14 1000 10.0
GR 02
2.2
0.
0.
0.
0.
32.2
24.8
6.7
292.1
661.2
0.
46.9
0.
0.
0.
0.
0.
0.
0.
0.
7.9
3.5
0.
0.9
0.
GR 07
0.
0.
0.8
2.2
0.
0.
0.
0.1
0.
0.
0.
0.
184.1
615.5
0.1
0.
0.
0.
0.
0.
0.
127.7
156.9
0.
0.
0.
0.
0.
0.
2.2
49.6
17.8
0.6
39.7
8.3
« 0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
5.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
4.1
0.
0.
0.
0.
0.
0.
0.
38.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
2.8
7.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
42.6
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
4.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
2.8
0.
11.0
43.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
o. •
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
8.4
0.
0.
0.
0.
0.
0.
119.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
101.1
0.
0.
0.
0.
0.
0.
0.
0.
0.2
18.4
13.5
109.9
277.9
208.4
0.1
134.4
0.1
0.
0.
0.
0.
0.2
0.1
2.9
0.7
19.3
0.
32.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0,
0.
296.5
1190.8
2.4
0.
0.
0.
0.
0.
0.
319.6
96.0
0.
0.
0.
0.
0.2
0.
14.8
96.8
57.4
8.2
3.7
0.5
0.
0.5
50.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
22.4
26.0
16.3
0.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
6.4
0.
0.
0.
0.
0.
0.
0.
0.3
1.0
0.5
0.
0.
0.
0.
0.
0.
0.
23.5
10.3
0.
0.
0.
0.
0.
0.
18.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
8.4
0.
59.9
2077.2
328.6
0.
2.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1132.1
0.
0.
0.
0.
0.
0.
0.
0.
31.2
0.
0.
0.
191.4
0.
0.
0.
0.
D-8
-------
DD KM YY JUL SI HOUR DUR DBS PUFF1 PLUME HSPUFF PUFF2 HTDDIS ARRPA RTM2 RADM
CASE 8-E
7 4 77
7 4 77
7 ^ 77
7 4 77
7 4 77
7 4 77
7 4 77
CASE 8-F
8 4 77
8 4 77
8 4 77
8 4 77
8 4 77
8 4 77
8 4 77
8 4 77
8 4 77
8 4 77
CASE 8-G
8 4 77
8 4 77
8 4 77
8 4 77
8 4 77
8 4 77
CASE 9-A
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
CASE 9-B
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
11 4 77
CASE 9-C
12 4 77
12 4 77
12 4 77
12 4 77
12 4 77
12 4 77
12 4 77
12 4 77
12 4 77
ID
97 3
97 4
97 5
97 10
97 12
97 13
97 14
ID
98 2
98 3
98 4
98 5
98 6
98 7
98 9
93 10
98 12
98 14
ID
98 3
98 4
98 8
98 9
98 10
98 12
ID
101 2
101 3
101 4
101 5
101 6
101 7
101 8
101 9
101 10
101 11
101 12
101 13
101 14
ID
101 2
101 5
101 6
101 8
101 9
101 10
101 11
101 12
101 13
101 14
ID
102 3
102 4
102 5
102 6
102 7
102 9
102 11
102 12
102 13
08 RECP 07
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2115 10.0
2200 10.0
08 RECP 10
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
08 RECP 06
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
09 RECP 13
1000 10.0
1000 10.0
1000 10.0
1COO 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
915 10.0
1000 10.0
09 RECP 10
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2115 10.0
2200 10.0
09 RECP 09
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
915 10.0
0.
0.
0.
146.6
0.
19.8
0.
0.
0.
0.
0.
0.
18.2
52.7
36.6
0.
0.
0.
0.
52.1
0.
0.
0.
GR 10
0.
0.
0.2
4.5
0.
0.
9.6
279.9
182.8
30.6
0.
130.5
0.
0.
0.
0.
0.7
39.3
41.4
77.6
0.
44.3
0.
0.6
0.1
0.
0.
1.4
0.9
2.8
0.
15.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
11.2
0.
0.
1.1
0.
4.5
0.
0.
0.
0.
0.
0.
33.4
17.7
7.5
2.7
0.
0.2
0.
0.
0.
209.8
209.2
262.2
83.3
5.4
2.8
1.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
45.0
0.
0.
0.
0.
0.
0.
0.
2476.8
152.2
792.5
3.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
16.0
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
15.0
0.
0.
0.
0.
0.
0.
239.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1.5
2359.6
52.4
1183.5
42.6
0.
0.1
57.9
4.5
0.7
0.7
767.1
142.6
375.7
136.5
13.3
23.0
44.8
38.1
6.7
14.4
22.4
83.1
109.1
67.3
19.6
20.3
0.2
0.
0.1
382.0
0.3
54.3
1.0
0.
0.
0.
0.
0.1
28.9
79.0
11.0
0.3
0.1
0.
0.
2.6
5.1
0.7
0.1
0.
0.
0.
0.
0.
7.6
285.9
287.1
659.5
615.6
1.0
77.8
0.6
0.2
0.
0.
53.6
70.2
185.7
99.2
5.3
34.8
5.6
0.3
0.
0.1
0.4
19.7
106.7
178.4
10.7
288.0
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
475.3
76.2
192.7
2.8
1.5
144.8
0.1
0.
0.
0.
0.
27.0
187.1
41.5
14.2
43.4
1.1
44.5
0.
2.0
0.
537.7
370.6
179.3
47.6
12.0
26.3
33.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
226.6
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
187.2
251.5
63.7
304.1
0.
0.
0.
0.
0.
0.
84. 1
1502.9
69.6
39.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
264.1
0.
175.7
D-9
-------
DD MM YY JUL SI HOUR DUR DBS PUFF1 PLUME HSPUFF PUFF2 MTDDIS ARRPA RTM2 RADM
CASE V-D
12 4 77
12 4 77
12 4 77
12 4 77
12 4 77
12 4 77
12 4 77
12 4 77
CASE 9-E
13 4 77
13 4 77
13 4 77
13 4 77
13 4 77
13 4 77
13 4 77
13 4 77
13 4 77
13 4 77
CASE 9-F
13 4 77
13 ^ 77
13 4 77
13 4 77
13 4 77
13 4 77
13 4 77
13 4 77
13
-------
DD MM YY JUL SI HOUR DL'R DBS PUFF1 PLUME MSPUFF PUFF2 MTDDIS ARRPA RTM2 RADM
CASE 9-J
15 4 77
15 4 77
15 4 77
15 4 77
15 4 77
15 4 77
15 4 77
15 4 77
15 4 77
15 4 77
CASE 10-A
17 4 77
CASE 10-B
18 4 77
18 4 77
18 4 77
18 4 77
18 4 77
18 4 77
18 4 77
18 4 77
18 4 77
18 4 77
18 4 77
CASE 10-C
18 4 77
18 4 77
18 4 77
18 4 77
18 4 77
18 4 77
CASE 10-D
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
CASE 10-E
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
19 4 77
CASE 10-F
20 4 77
20 4 77
20 4 77
20 4 77
20 4 77
20 4 77
20 4 77
20 4 77
20 4 77
20 4 77
20 4 77
20 4 77
ID
105 3
105 4
105 6
105 8
105 9
105 10
105 11
105 12
105 13
105 14
ID
107 14
ID
108 2
108 3
108 4
103 5
108 6
108 7
10S 8
108 9
108 11
103 12
108 13
ID
108 2
108 3
103 4
103 5
108 10
108 13
ID
109 2
109 3
109 5
109 7
109 8
109 9
109 10
109 11
109 12
109 13
109 14
ID
109 2
109 3
109 4
109 7
109 8
109 9
109 12
109 13
109 14
ID
110 2
110 3
110 4
110 5
110 6
110 7
110 8
110 9
110 10
110 12
110 13
110 14
09 RECP 10
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2115 10.0
2200 10.0
10 RECP 01
2200 10.0
10 RECP 11
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 22.0
1000 10.0
915 12.0
10 RECP 06
2200 10.0
2200 10.0
2200 10.0
2200-10.0
2200 10.0
2115 10.0
10 RECP 11
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 27.0
1000 10.0
915 10.0
1000 10.0
10 RECP 09
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2200 10.0
2115 10.0
2200 10.0
10 RECP 12
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
1000 10.0
915 10.0
1000 10.0
0.
0.2
0.
26.6
9.1
1.1
0.
0.
0.
20.2
GR 10
1039.9
63.4
0.1
0.
1.1
0.
3.5
2.6
0.6
2.5
69.2
0.
2.1
0.
0.
0.9
0.
1.7
0.1
0.
0.
0.
0.1
91.2
129.4
14.0
5.2
263.6
0.
1.2
0.
0.
0.
0.5
1.4
1.7
9.4
1.6
0.
0.
0.
0.
0.
0.
0.
0.3
1436.2
0.2
0.8
9.6
0.
0.
0.
14.4
0.
0.
0.
0.
0.
' 0.
0.
0.
0.
0.
0.
0.
0.6
4.7
52.5
111.0
0.
115.6
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
248.5
479.3
0.
1012.5
0.
0.
0.
0.
0.
0.
0.
0.
161.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
6.8
0.
0.
0.
0.
0.
108.7
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
7.2
148.5
371.0
0.
303.6
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
8.0
3298.5
1603.2
0.
866.9
0.
0.
0.
0.
0.
0.
0.
0.
115.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
142.4
0.
0.
8.1
11.3
1.3
3.9
5.0
5.2
6.0
4.5
5.6
13.3
0.
0.7
154.0
13.5
157.5
190.5
48.1
169.8
20.2
5.5
0.
0.
5.3
17.0
2.6
9.5
209.5
85.8
0.1
0.3
0.1
112.7
349.8
777.6
582.2
405.5
1.0
166.3
1.1
1.3
1.4
0.6
51.4
102.2
401.8
62.6
166.5
1037.8
2327.2
14.2
7.7
4.8
3.1
6.1
16.8
15.5
52.2
14S.O
13.0
3581.6
8.0
6.1
5.2
43.7
4.9
11.6
7.0
16.6
3.2
15.3
145.5
458.7
74.9
15.2
0.1
0.
0.
0.
0.
0.
0.9
0.
330.3
2.1
3.8
0.
0.
0.
0.
0.
0.
0.
544.7
174.3
174.0
221.9
144.0
0.
0.
5.6
0.
0.
0.3
68.7
740.7
125.8
122.8
12.2
5.4
0.
0.
0.
0.
0.3
7.8
25.8
107.8
137.7
46.9
197.5
0.6
0.2
1.4
52.1
18.7
14.4
7.8
1.0
4.6
5.0
119.4
370.5
41.7
20.0
8.7
3.7
4.5
15.4
7.7
13.7
117.7
3.9
166.5
11.9
8.4
2.7
18.2
1.5
114.8
23.7
8.7
5.8
18.5
15.1
124.3
43.5
659.1
13.0
104.1
37.2
13.4
9.1
10.4
76.8
60.1
116.1
56.5
43.4
24.4
2.0
0.2
0.3
1.2
21.4
39.6
61.6
83.1
10.7
39.4
2628.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
27.8
1.2
1.5
87.8
3.4
0.3
0.
0.
0.
13.4
0.
0.
0.
1295.1
21.6
0.
193.6
0.
137.5
565.7
65.846384.1
0.9
0.
0.
0.
0.
0.
0.3
24.6
126.6
3.3
93.6
0.
0.
0.
0.
78.7
0.4
0.
0.
0.
0.
9.4
118.3
1044.9
355.3
0.
620.9
0.6
0.
0.
0.
0.
0.
0.2
0.
108.9
5.3
3.0
0.
0.
0.
0.
0.
0.
0.
0.
28.6
2.8
2153.5
1268.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
76.6
0.
0.
0.
0.
0.
16.4
0.
0.
0.
1119.2
22.4
716.2
0.
0.
0.
0.
0.
0.
0.
0.
116.6
34.4
0.
0.
104.4
0.
0.
0.
0.
0.
0.
0.
320.0
166.9
140.4
0.
0.
D-ll
-------
DO MM YY JUL SI HOUR DUR DBS PUFF1 PLUME MSPUFF PUFF2 MTDDIS ARRPA RTM2 RADM
CASE 10-6 ID 10 RECP 09
20 4 77 110 2 2200 10.0
20 4 77 110 3 2200 10.0
20 4 77 110 4 2200 10.0
20 4 77 110 6 2200 10.0
20 4 77 110 7 2200 10.0
20 ^ 77 110 9 2200 10.0
20 4 77 110 11 2200 10.0
20 4 77 110 12 2200 10.0
20 4 77 110 13 2115 10.0
CASE 10-H ID 10 RECP 13
21 4 77 111 2 1000 10.0
21 4 77 111 3 1000 10.0
21 4 77 111 4 1000 10.0
21 4 77 111 5 1000 10.0
21 4 77 111 6 1000 10.0
21 4 77 111 7 1000 10.0
21 4 77 111 8 920 10.0
21 ^ 77 111 9 1000 10.0
21 4 77 111 10 1000 10.0
21 4 77 111 11 1000 10.0
21 ^ 77 111 12 1000 10.0
21 ft 77 111 13 915 10.0
21 4 77 111 14 1000 10.0
CASE 10-1 ID 10 RECP 10
21 ft 77 111 2 2200 10.0
21 f\ 77 111 3 2200 10.0
21 ft 77 111 6 2200 10.0
21 ft 77 111 7 2200 10.0
21 4 77 111 8 2200 10.0
21 ft 77 111 9 2200 10.0
21 4 77 111 10 2200 10.0
21 ft 77 111 12 2200 10.0
21 ft 77 111 13 2115 10.0
21 ft 77 111 14 2200 10.0
CASE 10-J ID 10 RECP 12
22 4 77 112 2 1000 10.0
22 ft 77 112 3 1000 10.0
22 4 77 112 ft 1000 10.0
22 ft 77 112 5 1000 10.0
22 4 77 112 6 1000 10.0
22 ft 77 112 7 1000 10.0
22 ft 77 112 8 1000 10.0
22 ft 77 112 9 1000 10.0
22 ft 77 112 11 1000 10.0
22 ft 77 112 12 1000 10.0
22 ft 77 112 13 915 10.0
22 ft 77 112 14 1000 10.0
CASE 11-A ID 11 RECP 13
27 ft 77 117 2 900 10.0
27 4 77 117 3 900 12.0
27 ft 77 117 4 900 10.0
27 4 77 117 5 830 10.0
27 4 77 117 6 900 10.0
27 4 77 117 7 900 10.0
27 4 77 117 8 900 22.0
27 4 77 117 9 900 10.0
27 4 77 117 10 900 10.0
27 4 77 117 11 900 10.0
27 4 77 117 12 900 10.0
27 4 77 117 13 815 10.0
27 4 77 117 14 900 10.0
0.5
0.
0.
0.3
0.
0.
1.8
71.6
9.0
0.
0.
1.9
0.
0.
0.
0.
0.
0.1
0.
2.1
0.5
781.2
0.
0.9
0.
0.
0.
0.
0.
0.
0.
3.8
0.
0.
0.
0.3
0.
0.
0.
0.
0.
46.2
0.
1152.3
GR 04
0.
0.
0.
0.
0.
67.0
10.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
2.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
557.4
0.
0.
0.
0.
0.
0.
0.
0.
0,
5.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1207.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
2.4
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
8.4
0.
0.
0.
0.
0.
0.
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
47.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
85.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
149.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
8.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
373.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
797.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
47.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
13.4
0.
165.2
0.
0.
0.
0.
18.8
0.
0.
0.
0.
0.
0.
0.
0.
109.4
0.8
0.2
0.3
2.6
6.3
8.7
76.0
6.9
251.6
4.0
2.1
1.5
1.3
5.7
9.7
14.9
20.2
27.0
58.3
25.3
2863.3
76.0
0.3
0.1
0.3
0.6
0.8
1.2
31.6
1.5
194.1
130.5
0.1
0.1
0.
0.
0.
0.1
0.1
0.2
20.7
0.1
672.9
0.
0.
0.
0.
17.8
99.5
20.6
0.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
15.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
567.9
0.
196.8
0.
0.
0.
0.
0.
0.
0.
12.6
0.
177.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
24.7
0.
2.1
0.
0.
0.
0.
96.5
0.
6.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
149.0
1405. 9
4.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
2380.9
0.
83.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
230.6
0.
190.5
0.
0.
0.
0.
63.6
0.
0.
0.
0.
0.
0.
0.
0.
D-12
-------
DD KM YY JUL SI HOUR DUR DBS PUFF1 PLUME MSPUFF PUFF2 MTDDIS ARRPA RTM2 RADM
CASE 11-B ID 11 RECP 08
27 4 77 117 2 2100 10.0
27 4 77 117 3 2345 10.0
27 4 77 117 6 2100 10.0
27 4 77 117 9 2100 10.0
27 4 77 117 10 2100 10.0
27 4 77 117 11 2100 10.0
27 4 77 117 12 2100 10.0
27 4 77 117 14 2100 10.0
CASE 11-C ID 11 RECP 10
28 4 77 118 2 1200 7.0
28 4 77 118 4 900 10.0
28 4 77 118 5 900 10.0
28 4 77 118 6 900 10.0
28 4 77 118 7 900 10.0
28 4 77 113 8 900 10.0
28 4 77 118 9 900 10.0
28 4 77 113 10 900 10.0
28 4 77 118 12 900 10.0
23 4 77 118 13 815 10.0
CASE 11-D ID 11 RECP 12
28 4 77 118 2 2100 10.0
28 4 77 118 3 2100 10.0
28 4 77 118 4 2100 10.0
28 4 77 118 5 2100 10.0
28 4 77 118 6 2100 10.0
28 4 77 118 7 2100 10.0
28 4 77 118 8 2100 10.0
23 4 77 118 9 2100 10.0
23 4 77 118 11 2100 10.0
28 4 77 118 12 2100 10.0
28 4 77 118 13 2015 10.0
28 14 77 118 14 2100 10.0
CASE 12-A ID 12 RECP 12
11 7 77 192 2 900 10.0
11 7 77 192 3 900 10.0
11 7 77 192 4 900 10.0
11 7 77 192 5 900 10.0
11 7 77 192 7 900 10.0
11 7 77 192 8 900 10.0
11 7 77 192 9 900 10.0
11 7 77 192 10 900 10.0
11 7 77 192 11 900 10.0
11 7 77 192 12 900 10.0
11 7 77 192 13 830 10.0
11 7 77 192 14 900 10.0
CASE 12-B ID 12 RECP 11
11 7 77 192 2 2100 10.0
11 7 77 192 3 2100 10.0
11 7 77 192 5 2100 10.0
11 17 77 192 6 1600 15.0
11 7 77 192 7 2100 10.0
11 7 77 192 8 2100 10.0
11 7 77 192 9 21CO 10.0
11 7 77 192 11 2100 10.0
11 7 77 192 12 2100 10.0
11 7 77 192 13 2045 10.0
11 7 77 192 14 2100 10.0
0.
0.
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25.0
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0.
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175.6
0.
0.
0.
0.
0.
D-13
-------
DO MM YY JUL SI HOUR DUR 033 PUFF1 PLUME MSPUFF PUFF2 MTODIS ARRPA RTM2 RADH
CASE 13- A
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
CASE 13-B
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
15 7 77
CASE 14-A
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
ID 13 RECP 11
196 2
196 3
196 4
196 5
196 7
196 9
196 10
196 11
196 12
196 13
196 14
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
845 10.0
900 10.0
GR 02
0.5
0.
0.
0.
0.
0.
223.1
12.2
2.7
0.
26.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.4
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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0.
0.
0.
0.
0.
0.
0.
0.
0.
15.9
8.5
3.7
0.
0.
0.
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36.7
0.8
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0.
267.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
2.0
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
21.6
ID 13 RECP 09
196 2
196 3
196 4
196 7
196 8
196 10
196 11
196 12
196 14
2200 10.0
2100 10.0
2100 10.0
2100 10.0
2100 10.0
2100 10.0
2100 10.0
2100 10.0
2100 10.0
ID 14 RECP 12
199 2
199 3
199 4
199 5
199 7
199 8
199 9
199 10
199 11
199 12
199 13
199 14
CASE 14-B ID
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
18 7 77
199 2
199 3
199 4
199 7
199 9
199 10
199 12
199 13
199 14
CASE 14-C ID
19 7 77
19 7 77
19 7 77
19 7 77
19 7 77
19 7 77
19 7 77
19 7 77
19 7 77
19 7 77
19 7 77
200 2
200 3
200 5
200 7
200 8
200 9
200 10
200 11
200 12
200 13
200 14
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
1200 7.0
900 10.0
1300 5.8
900 10.0
14 RECP 09
2100 10.0
2100 10.0
2100 10.0
2100 10.0
2100 10.0
2100 10.0
2100 10.0
2030 10.0
2100 10.0
14 RECP 11
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
900 10.0
830 12.0
900 10.0
0.
0.2
0.
9.5
0.
2.4
0.5
6.5
1.5
GR 05
0.
0.
0.
0.
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0.
0.
0.
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0.
0.
0.
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0.
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17.2
0.
0.
0.
0.
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2259.6
1509.1
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0.
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0.
0.
0.
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7.9
0.
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0.
0.
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0.
0.
0.
0.
0.
0.
0.
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0.
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0.
0.
0.
0.
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0.
0.
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0.
0.
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0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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0.
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0.
0.
0.
0.
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0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.7
0.
0.
0.
0.
0.
0.
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0.7
86.5
0.
153.2
0.
0.
0.
0.
0.
0.
0.
0.
18.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
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0.
0.
0.
0.
0.
D-14
-------
DD MM YY JUL SI HDUR OUR DBS PUFF1 PLUME MSPUFF PUFF2 HTDDIS ARRPA RTM2 RADM
CASE 14-D ID 14 RECP 06
19 7 77 200 2 2100 10.0
19 7 77 200 3 2100 10.0
19 7 77 200 4 2100 10.0
19 7 77 200 5 2100 10.0
19 7 77 200 10 2100 10.0
19 7 77 200 14 2100 10.0
CASE 14-E ID 14 RECP 10
20 7 77 201 3 900 10.0
20 7 77 201 5 900 10.0
20 7 77 201 7 900 10.0
20 7 77 201 8 900 10.0
20 7 77 201 9 900 5.0
20 7 77 201 10 900 10.0
20 7 77 201 11 900 8.5
20 7 77 201 12 900 10.0
20 7 77 201 13 830 10.0
20 7 77 201 14 900 9.3
CASE 15-A ID 15 RECP 10
25 7 77 206 3 900 10.0
25 7 77 206 4 900 10.0
25 7 77 206 5 900 10.0
25 7 77 206 7 900 10.0
25 7 77 206 8 900 10.0
25 7 77 2C6 10 900 10.0
25 7 77 206 11 900 10.0
25 7 77 2G6 12 900 10.0
25 7 77 206 13 830 10.0
25 7 77 206 14 900 10.0
CASE 15-B ID 15 RECP 09
25 7 77 206 3 2100 10.0
25 7 77 206 4 2100 10.0
25 7 77 206 7 2100 10.0
25 7 77 206 8 2100 10.0
25 7 77 206 9 2100 10.0
25 7 77 206 10 2100 10.0
25 7 77 206 11 2100 10.0
25 7 77 206 12 2100 10.0
25 7 77 206 14 2100 10.0
CASE 15-C ID 15 RECP 10
26 7 77 207 3 900 10.0
26 7 77 207 4 900 10.0
26 7 77 207 5 900 10.0
26 7 77 207 7 900 10.0
26 7 77 207 8 900 10.0
26 7 77 207 9 900 10.0
26 7 77 207 10 900 10.0
26 7 77 207 11 900 10.0
26 7 77 207 12 900 10.0
26 7 77 207 13 830 10.0
CASE 15-D ID 15 RECP 11
26 7 77 207 3 2100 10.0
26 7 77 207 4 2100 10.0
26 7 77 207 5 2100 10.0
26 7 77 207 7 2100 10.0
26 7 77 207 8 2100 10.0
26 7 77 207 9 2100 10.0
26 7 77 207 10 2100 10.0
26 7 77 207 11 2100 10.0
26 7 77 207 12 2100 10.0
26 7 77 207 13 2030 10.0
26 7 77 207 14 2100 10.0
0.
0.
Q.
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66.4
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0.
0.
0.
0.1
4.0
2.2
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6.8
0.
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0.
0.
365.9
88.6
0.7
153.4
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0.
2.1
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2.7
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9.6
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55.7
59.2
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38.5
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0.
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0.5
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0.
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0.
0.
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291.0
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5
0
4
7
1
7
7
1
5
8
2
3
4
7
1
7
4
3
.7
,5
0.
0.
0.
0.
180.9
0.
0.
0.
0.
0.
0.
0.
2.5
0.
0.
0.
0.
0.
0.
0.
0.
68. 0
6.3
0.
0.
0.
0.
0.
0.
0.
834.4
173.0
117.2
0.
0.
0.
0.
0.
0.
0.
0.
2.1
472.3
0.
113.7
19.2
0.
0.
0.
285.1
186.1
0.
123.1
o.
o!
D-15
-------
DD MM YY JUL SI HOUR DUR DBS PUFF1 PLUME MSPUFF PUFF2 HTDDIS ARRPA RTM2 RADM
CASE 20-A ID 20 RECP 09 GR 07
8 7 80 190112 2100 0.75 0.1 90.3 323.5 403.8 0.
8 7 80 190113 2100 0.75 1.0 408.3 922.6 2114.1 0.
8 7 80 190114 2100 0.75 1.7 1554.7 2793.2 5701.7 0.
8 7 80 190115 2100 0.75 1.9 2361.5 4346.5 2353.7 0.
8 7 80 190116 2100 0.75 0. 1892.0 5136.4 719.0 0.
8 7 80 190118 2100 0.75 0. 378.6 2453.6 0. 0.
8 7 80 190119 2100 0.75 0. 32.1 809.4 0. 0.
8 7 80 190120 2100 0.75 0.7 0. 144.3 0. 0.
8 7 80 190122 2100 0.75 2.7 0. 0. 0. 11.4
CASE 20-B ID 20 RECP 10
8 7 80 190112 2145 0.75 647.0 624.7 756.8 6553.6 0.
8 7 80 190113 2145 0.75 1297.0 1629.4 1782.912667.7 0.
8 7 80 190114 2145 0.75 917.0 3622.8 3975.511333.9 0.
8 7 80 190115 2145 0.75 757.0 3331.2 5031.2 2937.3 0.
8 7 80 190116 2145 0.75 1107.0 2705.5 4341.1 547.5 0.
8 7 80 190118 2145 0.75 287.0 375.5 1411.6 0. 121.1
8 7 80 190119 2145 0.75 127.0 23.0 380.8 0. 322.2
8 7 80 190120 2145 0.75 13.0 0. 48.1 0. 533.3
8 7 80 190121 2145 0.75 24.1 0. 0. 0. 468.7
8 7 80 190122 2145 0.75 2.7 0. 0. 0. 1937.6
CASE 20-C ID 20 RECP 10
8 7 80 190112 2230 0.75 3997.0 1514.0 1451.713179.3 0.
8 7 80 190113 2230 0.75 5897.0 2893.2 2859.516899.1 0.
8 7 80 190114 2230 0.75 4667.0 4646.1 6643.810296.8 0.
8 7 80 190115 2230 0.75 2727.0 4006.8 4737.4 1995.7 0.
8 7 80 190116 2230 0.75 2807.0 2533.6 3538.7 307.8 0.
8 7 80 190118 2230 0.75 2097.0 276.0 645.5 0. 234.1
8 7 80 190119 2230 0.75 557.0 12.3 111.0 0. 800.7
8 7 80 190120 2230 0.75 212.0 0. 0. 0. 1682.2
8 7 80 190121 2230 0.75 0.6 0. 0. 0. 1825.1
8 7 80 190122 2230 0.75 1.1 0. 0. 0. 3274.6
CASE 20-D ID 20 RECP 10
8 7 80 190112 2315 0.75 2837.0 2758.3 2408.420280.8 0.
3 7 80 190113 2315 0.75 2737.0 4199.5 4152.214808.4 0.
8 7 80 190114 2315 0.75 1647.0 4624.510813.3 2590.4 0.
8 7 80 190115 2315 0.75 1257.0 2738.2 4115.2 32.0 0.
8 7 80 190116 2315 0.75 997.0 1376.2 2729.1 0. 0.
8 7 80 190118 2315 0.75 337.0 79.9 155.0 0. 339.0
8 7 80 190119 2315 0.75 47.0 0. 0. 0. 1435.5
8 7 80 190120 2315 0.75 11.0 0. 0. 0. 3446.7
8 7 80 190121 2315 0.75 0. 0. 0. 0. 4069.0
8 7 80 190122 2315 0.75 0.4 0. 0. 0. 4022.3
CASE 20-E ID 20 RECP 10
9 7 80 191112 0 0.75 2167.0 3631.1 418.511175.7 0.
9 7 80 191113 0 0.75 497.0 4075.1 815.7 4545.5 0.
9 7 80 191114 0 0.75 179.0 2939.9 490.2 234.1 0.
9 7 80 191115 0 0.75 85.0 1188.9 0. 0. 4.4
9 7 80 191116 0 0.75 87.0 473.4 0. 0. 75.6
9 7 80 191118 0 0.75 0. 0. 0. 0. 1639.8
9 7 80 191119 0 0.75 0. 0. 0. 0. 2S31.8
9 7 80 191120 0 0.75 0.8 0. 0. 0. 3642.2
9 7 80 191121 0 0.75 0. 0. 0. 0. 3243.6
9 7 80 191122 0 0.75 0.8 0. 0. 0. 1160.8
CASE 20-F ID 20 RECP 10
9 7 80 191112 45 0.75 40.0 1338.3 139.5-3726.0 0.
9 7 80 191113 45 0.75 1.0 1498.2 271.9 1515.2 5.9
9 7 80 191114 45 0.75 1.0 1084.8 163.4 78.0 114.6
9 7 80 191115 45 0.75 1.5 443.9 0. 0. 643.9
9 7 80 191116 45 0.75 6.0 175.1 0. 0. 1299.1
9 7 80 191118 45 0.75 0. 0. 0. 0. 2391.0
9 7 80 191119 45 0.75 0. 0. 0. 0. 2734.2
9 7 80 191120 45 0.75 1.5 0. 0. 0. 2128.6
9 7 80 191121 45 0.75 0.1 0. 0. 0. 1578.4
9 7 30 191122 45 0.75 0.7 0. 0. 0. 413.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0. 0. 0.
0. 0. 0.
0. 0. 0.
0. 0. 0.
0. 0. 0.
0. 0. 0.
0. 0. 0.
0. 0. 0.
0. 0. 0.
0. 26.2 0.
0. 368.5 0.
0. 324.0 0.
0.3 253.3 37.7
3.5 202.8 303. 2
0. 281.7 1851.0
0. 355.7 1419.0
0. 388.6 1103.9
0. 41.4 857.3
3515.3 34.7 3417.9
0.1 69.0 0.
1.5 622.5 0.
13.3 561.4 0.
93.9 464.4 37.7
316.7 395. 1 370.3
1229.9 536.8 3419.2
1502.4 626.2 4563.4
1463.3 662.8 5159.5
1345.7 139.9 4604.4
3926.7 134.6 7711.1
0.3 128.5 0.
4.4 762.0 0.
54.9 712.4 0.
230.7 633.3 0.
939.7 576.9. 136.4
3689.7 765.3 4704.6
4507.2 811.5 9433.4
43S9.9 822.512167.0
4037.1 295.611241.3
1234.3 299.512379.5
979.6 468.0 0.
3207.3 1566.0 0.
8114.7 1543.8 0.
10242.3 1450.9 0.
7598.0 1359.2 59.9
2300.7 1419.9 2690.8
1208.8 1530.2 5460.4
503.5 1535.6 7606.8
230.8 650.0 8027.3
2.9 539.3 5260.7
746.4 648.5 0.
1127.0 1402.3 0.
2960.3 1390.3 43.7
3633.6 1348.4 232.4
2615.9 1308.5 899.2
767.9 1324.4 4502.4
403.0 1374.3 5993.9
168.2 1332.5 5953.8
77.0 695.1 4531.3
0.9 704.6 1343.2
D-16
-------
DO KM YY JUL SI HOUR DUR DBS PUFF1 PLUME MSPUFF PUFF2 MTDDIS ARRPA RTH2 RADH
CASE 20-G
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
CASE 30-A
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 30
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
ID 20
191112
191114
191115
191116
191118
191119
191120
191121
191122
ID 30
191600
191601
191602
191603
191604
191606
191607
191609
191610
191611
191612
191613
191615
191616
191617
191618
191619
191620
191623
191624
191625
191626
191628
191629
191630
191631
191632
191633
191634
191635
191636
191637
REC? 09
130 0.75
130 0.75
130 0.75
130 0.75
130 0.75
130 0.75
130 0.75
130 0.75
130 0.75
RECP 32
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
800 3.00
1.6
2.0
1.8
0.
0.
0.
1.1
0.
2.5
GR 06
0.
0.
0.6
0.7
0.
14.2
0.2
624.0
1277.0
1007.0
897.0
977.0
13.0
1.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.4
0.
0.
0.
127.9
104.8
47.6
17.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.4
0.1
0.5
3.2
0.2
1.0
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
• o.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.1
5.2
150.2
492.0
185.9
98.5
3.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
58.6
925.2
1639.8
2078.9
2494.9
1831.6
926.1
501.5
26.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
419.9
255.4
224.5
83.3
1.1
0.1
0.3
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
9.6
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
715.0
1186.6
1174.1
1164.8
1156.7
1170.2
1180.9
661.2
727.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
474.9
2075.6
2751.6
2877.6
4321.4
4502.3
3514.1
1942.0
89.6
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
D-17
-------
DO MM YY JUL SI HOUR DUR DBS PUFF1 PLUME MSPUFF PUFF2 HTDDIS ARRPA RTH2 RADM
CASE 30-B
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 SO
9 7 30
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
ID 30 RECP 34
191600
191601
191602
191603
191604
191606
191607
191609
191610
191611
191612
191613
191615
191616
191617
191618
191619
191620
191623
191624
191625
191626
191627
191628
191629
191630
191631
191632
191633
191634
191635
191636
191637
191638
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
1100 3.00
0.
0.
0.5
0.
0.
7.5
0.
60.0
817.0
527.0
183.0
497.0
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
12.6
19.9
72.0
270.7
289.2
485.6
48.5
6.0
0.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
30.7
33.0
103.8
389.3
442.0
658.5
109.6
11.6
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1.7
53.8
590.6
813.2
577.3
278.1
221.2
4.7
0.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
25.0
57.5
903.5
2449.2
444.7
0.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
CASE 30-C ID 30 RECP 32
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
191600
191601
191602
191603
191604
191606
191609
191610
191611
191612
191613
191615
191616
191617
191618
191619
191620
191623
191624
191625
191626
191627
191623
191629
191631
191632
191633
191634
191635
191636
191637
191638
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
1400 3.00
0.
0.
0.1
0.
0.
0.
0.9
23.0
161.0
96.0
347.0
1.5
1.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
3.1
51.5
203.6
482.6
745.8
245.5
145.7
28.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
4.2
53.4
185.4
423.8
509.2
206.1
168.6
4.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.6
17.9
196.9
271.1
192.4
94.5
75.4
2.6
0.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.4
4.1
13.4
10.9
113.4
103.9
139.2
153.9
69.1
27.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.1
30S.1
8S3.7
574.7
0.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.1
0.
1.3
1.8
1.1
2.3
1.0
2.1
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
D-18
-------
DD KM YY JUL SI HOUR OUR DBS PUFF1 PLUME MSPUFF PUFF2 MTDDIS ARRPA RTK2 RADH
CASE 30-0
9 7 80
9 7 80
9 7 80
9 7 80
9 7 SO
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
CASE 30-E
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 -7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
ID 30 RECP 32
191600
191601
191602
191603
191604
191605
191606
191607
191609
191610
191611
191612
191613
191615
191616
191617
191619
191620
191623
191624
191625
191627
191628
191629
191630
191631
191632
191633
191634
191636
191637
191638
ID
191600
191601
191602
191603
191604
191605
191606
191607
191609
191610
191611
191612
191615
191616
191617
191619
191620
191623
191624
191625
191626
191627
191628
191629
191630
191631
191632
191633
191634
191635
191636
191637
191638
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
1700 3.00
30 RECP 33
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
2000 3.00
0.
0.
0.
0.
0.
0.
0.
0.
0.2
0.
25.0
29.0
63.0
8.0
3.4
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.1
0.
0.
0.
0.
0.
0.6
2.3
1.1
3.4
2.7
0.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
17.2
178.9
269.1
110.4
116.8
17.6
0.
0.
0.
0.
• 0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
o.-
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
5.7
59.6
89.7
36.8
40.5
5.9
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
17.8
141.3
169.7
68.7
56.2
1.6
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
5.9
47.1
56.6
22.9
18.7
0.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.2
6.0
65.6
90.4
64.1
25.1
0.9
0.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.1
2.0
21.9
30.1
21.4
10.5
8.4
0.3
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.3
18.3
42.0
110.5
118.0
32.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
36.8
39.3
10.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
102.7
191.6
0.2
0.
0.
0.
0.
.0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
34.2
63.9
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.9
1.4
2.5
2.7
1.3
0.3
0.2
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.8
0.9
0.4
0.1
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
8.7
285.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
95.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
D-19
-------
DD MM YY JUL SI HOUR DUR DBS PUFF1 PLUME MSPUFF PUFF2 MTDDIS ARRPA RTM2 RADH
CASE 30-F
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 SO
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
9 7 80
CASE 40-A
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
CASE 40-B
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 30
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
ID 30 RECP 30
191601
191602
191604
191605
191606
191607
191609
191610
191611
191612
191615
191616
191617
191619
191620
191623
191624
191625
191627
191628
191629
191630
191631
191632
191633
191634
191635
191636
191637
191633
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
2300 3.00
ID 40 RECP 16
193114
193115
193116
193117
193118
193119
193120
193121
193122
193123
193124
193126
193127
193128
193129
193130
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
2200 0.75
0.
0.
0.
0.
0.
0.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
GR 08
0.6
0.
0.8
0.
1.5
0.
1.2
0.5
7.0
1.0
5.2
0.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1.9
19.9
29.9
12.3
13.5
2.0
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
26.8
105.0
181.6
280.0
304.1
158.9
53.3
18.7
12.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
2.0
15.7
18.9
7.6
6.2
0.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
34.1
139.9
273.4
470.4
534.8
502.0
272.6
138.4
58.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0. .
0.
0.7
7.3
10.0
7.1
2.8
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
3.1
40.3
179.5
157.4
73.4
23.2
117.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
12.3
13.1
3.6
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.4
0.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
11.4
21.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.3
0.3
0.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
31.7
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
ID 40 RECP 16
193114
193115
193116
193117
193113
193119
193120
193121
193122
193123
193124
193126
193127
193128
193129
193130
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
2245 0.75
35.0
47.0
107.0
9.0
72.0
37.0
35.0
124.0
297.0
216.0
53.0
0.9
0.
0.
0.
0.
114.5
275.5
364.1
396.7
320.1
161.2
51.2
18.6
4.3
0.
0.
0.
0.
0.
0.
0.
106.0
299.0
447.7
554.5
503.5
321.5
220.9
88.7
19.6
0.
0.
0.
0.
0.
0.
0.
0.
13.9
117.3
502.9
1230.2
1366.7
748.9
323.3
126.0
0.
0.
0.
0.
0.
0.
0.
0.4
20.0
62.8
176.0
293.5
174.3
55.3
16.7
14.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.1
0.6
3.6
17.0
45.0
93.5
0.
0.
395.5
336.9
256.4
0.
0.
0.
0.
0.
118.9
91.5
69.5
61.0
75.5
114.0
128.2
1.7
1.0
1.5
2.5
2.6
0.
0.
0.
0.
2.0
92.9
255.6
356.9
407.8
210.7
37.0
5.6
3.0
0.
0.
0.
0.
0.
0.
0.
D-20
-------
DD MM YY JUL SI HOUR DUR DBS PUFF1 PLUME MSPUFF PUFF2 MTDDIS ARRPA RTM2 RADM
CASE 40-C
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
11 7 80
CASE 40-0
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 SO
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
CASE 40-E
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
CASE 40-F
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
10 40 RECP 16
193114 2330 0.75
193115 2330 0.75
193116 2330 0.75
193117 2330 0.75
193118 2330 0.75
193119 2330 0.75
193120 2330 0.75
193121 2330 0.75
193122 2330 0.75
193123 2330 0.75
193124 2330 0.75
193126 2330 0.75
193127 2330 0.75
193128 2330 0.75
193129 2330 0.75
193130 2330 0.75
ID 40
194114
194115
194116
194117
194118
194120
194121
194122
194123
194124
194126
194127
194128
194129
194130
ID 40
194114
194116
194117
194118
194120
194121
194122
194123
194124
194126
194127
194128
194129
194130
ID 40
194114
194115
194116
194117
194113
194120
194121
194122
194124
194126
194127
194128
194129
194130
RECP 15
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
15 0.75
RECP 14
100 0.75
100 0.75
100 0.75
100 0.75
100 0.75
100 0.75
100 0.75
100 0.75
100 0.75
100 0.75
100 0.75
100 0.75
100 0.75
100 0.75
RECP 14
145 0.75
145 0.75
145 0.75
145 0.75
145 0.75
145 0.75
145 0.75
145 0.75
145 0.75
145 0.75
145 0.75
145 0.75
145 0.75
145 0.75
267.0
277.0
238.0
177.0
256.0
327.0
299.0
357.0
197.0
142.0
73.0
11.0
0.
0.
0.
0.
175.0
187.0
139.0
87.0
213.0
233.0
123.0
97.0
43.0
30.0
4.9
0.
0.
0.
0.
62.0
65.0
47.0
96.0
63.0
39.0
37.0
17.0
22.0
0.5
0.
0.
0.
0.
34.0
0.
22.0
25.0
46.0
27.0
18.0
17.0
6.3
0.1
0.
0.
0.
0.
227.1
406.2
453.3
403.6
266.8
124.3
36.1
12.6
0.
0.
0.
0.
0.
0.
0.
0.
364.6
497.1
449.1
300.9
144.1
7.8
0.7
0.
0.
0.
0.
0.
0.
0.
0.
354.7
324.9
164.3
57.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
126.9
152.5
122.4
61.2
20.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
126.2
704.0
640.1
414.4
313.6
154.2
130.0
42.5
0.
0.
0.
0.
0.
0.
0.
0.
94.9
1355.0
850.6
50.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
33.4
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
8.3
11.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
62.4
306.5
1010.7
1988.1
1953.4
969.4
405.8
90.7
0.
0.
0.
0.
0.
0.
0.
0.
145.4
570.6
1563.7
2453.3
734.6
270.6
11.9
0.
0.
0.
0.
0.
0.
0.
0.
855.2
1857.9
2315.2
436.8
129.2
0.
0.
0.
0.
0.
0.
0.
0.
0.
114.9
376.0
772.4
929.1
226.0
71.8
0.
0.
0.
0.
0.
0.
0.
1.0
56.1
171.5
419.9
618.7
393.2
137.2
48.8
16.9
0.
0.
0.
0.
0.
0.
0.
1.8
108.3
326.2
732.3
961.2
245.9
96.2
6.2
0.
0.
0.
0.
0.
0.
0.
59.3
726.3
935.5
680.8
96.8
38.3
0.
0.
0.
0.
0.
0.
0.
0.
395.1
734.0
734.4
559.7
304. 4
3S.6
14.6
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
9:
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
3.5
5.5
23.4
80.1
162.9
262.5
204.0
195.7
493.3
375.3
273.7
1.4
0.1
0.
0.
0.
10.2
14.6
59.6
189.3
353.8
612.1
587.0
293.4
115.2
52.0
4.2
.0.3
0.1
0.
0.
26.1
455.7
998.5
1306.1
725.0
461.7
63.5
13.7
4.7
0.2
0.
0.
0.
0.
8.7
49.3
151.9
332.8
435.4
310.6
183.2
21.2
1.6
0.1
0.
0.
0.
0.
225.9
183.0
148.4
126.3
150.1
212.0
235.8
11.1
10.6
14.3
20.6
17.8
0.4
0.6
0.9
0.
321.1
274.6
236.5
196.1
223.8
322.9
28.0
28.8
38.4
54.2
45.8
1.3
1.9
2.6
0.
210.8
217.2
140.9
149.4
177.2
47.9
56.5
67.9
84.8
48.2
2.5
4.5
7.3
0.
157.2
158.7
159.5
120.6
125.5
141.2
46.7
56.5
80.7
40.3
1.5
3.1
5.7
0.
16.0
264.8
772.2
1080.4
1157.3
703.6
170.1
36.5
4.6
0.
0.
0.
0.
0.
0.
0.
42.2
515.6
1549.8
2170.4
2248.5
399.1
92.7
4.8
0.
0.
0.
0.
0.
0.
0.
167.6
1672.0
2009.1
1646.9
148.2
26.1
0.
0.
0.
0.
0.
0.
0.
0.
936.7
1450.4
1746.9
146S.1
763.9
51.6
8.7
0.
0.
0.
0.
0.
0.
0.
D-21
-------
DD KM YY JUL SI HOUR DUR DBS PUFF1 PLUME HSPUFF PUFF2 MTDDIS ARRPA RTM2 RADM
CASE 4G-G
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 30
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
CASE 40-H
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
12 7 80
ID
194114
194115
194116
194117
194118
194120
194121
194123
194124
194126
194127
194128
194129
194130
ID
194114
194115
194116
194118
194120
194121
194122
194123
194124
194126
194127
194128
194129
194130
40 RECP 14
230 0.75
230 0.75
230 0.75
230 0.75
230 0.75
230 0.75
230 0.75
230 0.75
230 0.75
230 0.75
230 0.75
230 0.75
230 0.75
230 0.75
40 RECP 14
315 0.75
315 0.75
315 0.75
315 0.75
315 0.75
315 0.75
315 0.75
315 0.75
315 0.75
315 0.75
315 0.75
315 0.75
315 0.75
315 0.75
10.0
0.
6.5
9.0
21.0
20.0
8.0
3.0
2.5
0.1
0.
0.
0.
0.
2.4
0.
2.3
7.0
4.7
0.
2.0
0.
2.4
0.3
0.
0.
0.
0.
8.7
14.0
14.1
6.4
1.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
26.7
91.0
153.1
157.4
80.4
28.8
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
555.9
714.6
544.4
261.0
79.6
6.3
1.7
0.
0.
0.
0.
0.
0.
0.
541.9
329.3
156.3
6.5
0.
0.
0.
0.
0.
0.
0.
0.
0.
0-.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
68.9
29.3
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
119.7
120.0
120.4
99.0
102.2
112.2
41.5
61.9
73.4
31.0
0.9
2.2
4.3
0.
98.3
99.0
100.0
79.7
90.0
32.1
46.9
54.2
62.8
20.3
0.7
1.7
3.3
0.
1140.8
1393.0
1320.5
808.1
214.9
2.2
0.
0.
0.
0.
0.
0.
0.
0.
780.0
731.0
392.9
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
D-22
-------
Part II: Presentation of Complete AMS Statistics Results for the Oklahoma and
SRP Data Sets.
D-23
-------
Table D-l. Statistical Dataset (A-l) for Oklahoma Data
MODEL
MESOPUFF
M6SOPLUME
MSPUFF
HESOPUFF II
RTH-II
RADH
ARRPA •
NUMBER
OF
EVENTS
21
21
21
21
21
21
21
AVERAGE AVERAGE STANDARD MAXIMUM
OBSERVED DIFFERENCE* DEVIATION FREQUENCY
VALUE (OES-PRED) OF RESIDUALS* DIFFERENCE
753.1 -437.9 1023.6 0.29
( -903.8, 28.1) ( 783.1,1478.2) ( 0.420)
753.1 -836.1 2181.4 0.24
(-1829.1, 156.9) (1668.9,3150.0) ( 0.420)
753.1 -3130.1 4955.8 0.33
(-5386.1, -874.2) (3791.5,7156.5) ( 0.420)
753.1 -363.9 1171.0 0.29
( -896.9, 169.2) ( 895.9,1691.0) ( 0.420)
753.1 404.6 1322.5 0.24
( -197.4, 1006.6) (1011.8,1909.8) ( 0.420)
753.1 -1756.1 2740.5 0.33
(-3003.6, -508.6) (2096.6,3957.4) ( 0.420)
753.1 -827.2 2024.0 0.33
(-174S.5, 94.2) (1548.5,2922.8) ( 0.420)
95 PERCENT CONFIDENCE INTERVAL IN PARENTHESES.
D-24
-------
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-------
Table D-4. Statistical Dataset (B-l) for Oklahoma Data.
MODEL
MESOPUFF
MESOPUFF
MESOPUFF
MESOPUFF
MESOFUFF
MESOPUFF
MESOPUFF
MODEL
MESOPLUME
MESOPLUME
MESOPLUME
MESOPLUME
MESOPLUME
MESOPLUME
MESOPLUME
MODEL
MSPUFF
MSPUFF
MSPUFF
MSPUFF
MSPUFF
MSPUFF
MSPUFF
MODEL
MESOPUFF II
MESOPUFF II
MESOPUFF II
MESOPUFF II
MESOFUFF II
MESOPUFF II
MESOPUFF II
SITE
114
115
116
118
120
121
122
SITE
114
115
116
118
120
121
122
SITE
114
115
116
118
120
121
122
SITE
114
115
116
118
120
121
122
NUMBER
OF
DATA
PAIRS
15
13
15
12
15
10
14
NUMBER
OF
DATA
PAIRS
15
12
14
12
15
10
14
NUMBER
OF
DATA
PAIRS
15
12
14
11
15
10
14
NUMBER
OF
DATA
PAIRS
15
13
14
14
15
13
14
AVERAGE
OBSERVED
VALUE
533.4
410.9
372.3
286.1
61.5
69.4
47.5
AVERAGE
OBSERVED
VALUE
533.4
445.2
398.9
286.1
61.5
69.4
47.5
AVERAGE
OBSERVED
VALUE
533.4
445.2
398.9
312.1
61.5
69.4
47.5
AVERAGE
OBSERVED
VALUE
533.4
410.9
398.9
245,3
61.5
53.4
47.5
AVERAGE
DIFFERENCE
(OBS-PRED)
-786.7
-828.9
-366.5
100.7
51.6
64.4
46.3
AVERAGE
DIFFERENCE
(OBS-PRED)
-1149.7
-1328.7
-8S6.9
-219.9
7.1
42.5
41.9
AVERAGE
DIFFERENCE
(OBS-PRED)
-1482.3
-236.7
120.8
-529.0
-156.4
-55.8
22.8
AVERAGE
DIFFERENCE
(OSS-PRED)
360.4
84.0
-42.2
-516.9
-801.1
-862.2
-730.0
STANDARD
DEVIATION
OF
RESIDUALS
1142.1
993.5
587.7
569.9
97.5
108.6
90.1
STANDARD
DEVIATION
OF
RESIDUALS
2470.3
1773.7
1525.0
926.2
136.9
114.9
89.9
-•
STANDARD
DEVIATION
OF
RESIDUALS
3170.7
1140.9
823.8
1289.6
277.4
70.9
64.7
• - -
STANDARD
DEVIATION
OF
RESIDUALS
1339.1
1072.9
1155.8
1182.7
1289.5
1403.0
1381.6
D-27
-------
Table D-4 (Continued). Statistical Dataset (B-l) for Oklahoma Data.
MODEL
RTM-II
RTM-II
RTH-II
RTM-II
RTM-II
RTM-II
RTM-II
MODEL
RADM
RADM
RADM
RADM
RADM
RADM
RADM
MODEL
ARRPA
ARRPA
ARRPA
ARRPA
ARRPA
ARRPA
ARRPA
SITE
114
115
116
118
120
121
122
SITE
114
115
116
118
120
121
122
SITE
114
115
116
118
120
121
122
NUMBER
OF AVERAGE
DATA OBSERVED
PAIRS VALUE
15
13
14
14
15
14
14
NUMBER
OF
DATA
PAIRS
15
13
14
14
15
13
14
NUHBER
OF
DATA
PAIRS
15
11
14
14
15
13
14
533.4
410.9
398.9
245.3
61.5
49.6
47.5
AVERAGE
OBSERVED
VALUE
533.4
410.9
393.9
245.3
61.5
53.4
47.5
AVERAGE
OBSERVED
VALUE
533.4
485.7
398.9
245.3
61.5
53.4
47.5
AVERAGE
DIFFERENCE
(OBS-PRED)
68.7
-69.9
-33.9
-211.3
-417.2
-142.7
-144.7
AVERAGE
DIFFERENCE
(DBS- PR ED)
186. 4
-170.4
-487.6
-1749.7
-2359.4
-2363.8
-2182.1
AVERAGE
DIFFERENCE
(OBS-PRED)
-230.1
-837.1
-476.2
-489.9
-501.5
-496.4
-663.0
STANDARD
DEVIATION
OF
RESIDUALS
1239.9
949.6
942.6
740.8
541.8
317.6
317.9
STANDARD
DEVIATION
OF
RESIDUALS
'1510.4
1331.9
1321.9
1632.0
3733.0
3707.4
3937.2
STANDARD
DEVIATION
OF
RESIDUALS
2619.8
3425.0
2282.3
1117.8
1131.5
1133.8
1337.4
D-28
-------
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D-29
-------
Table D-6. Statistical Dataset (A-l) for Savannah River Plant Data.
MODEL
KESOPUFF
MESOPLUME
HSPUFF
HESOPUFF II
MTDDIS
RTH-II
RADH
NU113ER
OF
EVENTS
63
63
63
63
63
63
63
AVERAGE
OBSERVED
VALUE
228.4
(
223.4
(
228.4
(
228.4
(
228.4
(
228.4
(
228.4
(
AVERAGE
DIFFERENCE*
(OBS-PRED)
-104.0
-331.5, 123
-87.5
-275.0, 100
-54.2
-209.6, 101
-26.1
-188.3, 136
-168.0
-301.8, -34
-27.3
-150.6, 96
-247.8
-462.6, -32
.6)
.0)
.1)
.2)
.2)
.0)
.9)
STANDARD
DEVIATION
OF RESIDUALS*
903.5
( 768.3,1096
744.5
( 633.1, 903
616.9
( 524.6, 748
644.3
( 547.9, 782
531.2
( 451.7, 644
489.6
( 416.4, 594
853.0
( 725.3,1035
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.6)
.7)
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.6)
.2)
.2)
MAXIMUM
FREQUENCY
DIFFERENCE
0.30
( 0.242)
0.37
( 0.242)
0.46
( 0.242)
0.21
( 0.242)
0.27
( 0.242)
0.19
( 0.242)
,0.29
( 0.242)
95 PERCENT CONFIDENCE INTERVAL IN PARENTHESES.
D-30
-------
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-------
Table D-9. Statistical Dataset (B-l) for Savannah River Plant Data.
MODEL
HESOPUFF
MESOPUFF
MESOPUFF
MESOPUFF
MESOPUFF
MESOPUFF
MESOPUFF
MESOPUFF
MESOPUFF
MESOFUFF
MESOPUFF
MESOPUFF
MESOPUFF
MODEL .
MESOPLUME
MESOPLUME
MESOPLUME
MESOPLUME
MESOPLUME
MESOPLUME
MESOPLUHE
MESOPLUME
MESOPLUME
MESOPLUKE
MESOPLUME
MESOPLUME
MESOPLUHE
MODEL
MSPUFF
MSPUFF
MSFUFF
MSPUFF
MSPUFF
MSPUFF
MSPUFF
MSPUFF
MSPUFF
MSPUFF
MSPUFF
MSPUFF
MSPUFF
SITE
2
3
4
5
6
7
8
9
10
11
12
13
14
SITE
2
3
4
5
6
7
8
9
10
11
12
13
14
SITE
2
3
4
5
6
7
8
9
10
11
12
13
14
NUMBER
OF
DATA
PAIRS
24
16
12
17
15
24
29
30
35
30
19
34
27
NUMBER
OF
DATA
PAIRS
23
15
11
18
12
24
30
30
35
30
20
32
27
NUMBER
OF
DATA
PAIRS
23
20
18
18
16
28
34
29
37
31
22
33
28
AVERAGE
OBSERVED
VALUE
24.8
1.5
1.0
5.9
8.0
56.1
103.1
45.3
173.1
97.5
31.3
28.3
181.5
AVERAGE
OBSERVED
VALUE
25.8
1.6
1.1
5.6
10.0
56.1
99.7
45.3
173.1
97.5
29.7
30.0
181.5
AVERAGE
OBSERVED
VALUE
25.8
1.2
0.7
5.6
7.5
4S.1
87.9
46.8
163.7
94.4
27.0
29.1
175.1
AVERAGE
DIFFERENCE
(OBS-PRED)
13.8
-13.7
-22.0
-0.1
-36.0
-15.9
38.4
-107.0
13.6
-9.4
-18.1
-40.6
31.1
AVERAGE
DIFFERENCE
(OBS-PRED)
16.0
-10.6
-72.6 '
-4.8
-47.8
-2.4
50.1
-53.0
12.8
-38.1
-58.5
-32.8
17.9
AVERAGE
DIFFERENCE
(OBS-PRED)
-80.2
-8.8
-1.5
-4.0
-15.3
-62.3
-58.5
-2.2
72.5
54.5
-39.3
14.4
-45.5
STANDARD
DEVIATION
OF
RESIDUALS
47.2
52.2
75.7
26.0
103.5
248.7
322.3
418.3
969.6
443.9
153.5
186.3
664.9
STANDARD
DEVIATION
OF
RESIDUALS
44.3
39.5
238.8
31.3
140.9
172.8
272.8
275.7
791.2
484.0
280.2
141.0
651.5
STANDARD
DEVIATION
OF
RESIDUALS
493.3
34.6
4.6
40.5
61.0
266.0
484.9
174.4
600.2
325.6
148.2
54.0
841.7
D-33
-------
Table D-9 (Continued).
Statistical Dataset (B-l) for Savannah River
Plant Data.
MODEL
MESOPUFF II
HESOPUFF II
MESOFUFF II
HESOPUFF II
HESOPUFF II
HESOPUFF II
HESOPUFF II
HESOPUFF II
HESOPUFF II
HESOPUFF II
HESOPUFF II
HESOPUFF II
MESOPU&F II
HODEL
HTDDIS
HTDDIS
MTDDIS
HTDDIS
HTDDIS
HTDDIS
HTDDIS
HTDDIS
HTDDIS
MTDDIS
HTDDIS
HTDDIS
HTDDIS
HODEL
RTH-II
RTH-II
RTH-II
RTH-II
RTH-II
RTH-II
RTH-II
RTH-II
RTH-II
RTH-II
RTH-II
RTH-II
RTH-II
SITE
2
3
4
5
6
7
8
9
10
11
12
13
14
SITE
2
3
4
5
6
7
8
9
10
11
12
13
14
SITE
2
3
4
5
6
7
8
9
10
11
12
13
14
NUMBER
OF
DATA
PAIRS
25
17
17
18
22
30
31
30
36
32
22
33
29
NUMBER
OF
DATA
PAIRS
32
35
24
25
28
38
40
39
39
37
32
40
43
NUMBER
OF
DATA
PAIRS
25
17
13
18
16
25
31
30
36
32
21
34
32
AVERAGE
OBSERVED
VALUE
23.8
1.4
0.7
5.6
5.5
44.9
96.4
45.3
168.3
91.4
27.0
29.1
169.0
AVERAGE
OBSERVED
VALUE
18.6
0.7
0.5
4.0
4.3
35.4
74.7
34.8
155.3
79.1
18.6
24.0
114.0
AVERAGE
OBSERVED
VALUE
23.8
1.4
0.9
5.6
7.5
51.8
96.4
45.3
168.3
91.4
28.3
28.3
153.2
AVERAGE
DIFFERENCE
( OBS-PRED )
^2770
-13.1
-5.8
3.1
-5.9
-16.6
-154.1
-79.7
100.2
50.4
-64.9
-2.3
67.7
AVERAGE
DIFFERENCE
(OBS-PRED)
-30.9
-4.6
-1.6
1.3
-33.6
-24.2
-115.3
-40.5
3.8
-15.2
-21.3
-29.5
-115.8
AVERAGE
DIFFERENCE
(OBS-PRED)
-5.4
-65.9
-19.8
-11.1
-64.9
7.1
37.1
-53.2
105.9
37.8
-28.8
-17.3
-72.2
STANDARD
DEVIATION
OF
RESIDUALS
run
23.3
9.7
15.4
28.9
168.9
664.1
296.8
479.9
298.1
192.8
109.7
478.2
STANDARD
DEVIATION
OF
RESIDUALS
98.0
10.2
4.9
10.8
141.1
105.2
216.8
88.5
500.7
318.1
135.4
129.9
533.6
STANDARD
DEVIATION
OF
RESIDUALS
67. 1
149.6
52.3
49.1
157.0
133.6
306.7
174.9
480.6
328.4
130.8
116 1
597.3
D-34
-------
Table D-9 (Continued).
Statistical Dataset (B-l) for Savannah River
Plant Data.
MODEL
RADM
RADH
RADM
RADH
RADH
RADH
RADH
RADH
RADM
RADH
RADH
RADH
RADH
SITE
2
3
4
5
6
7
8
9
10
11
12
13
14
NUMBER
OF
DATA
PAIRS
22
15
11
14
13
23
29
2&
35
29
17
32
26
AVERAGE
OBSERVED
VALUE
27.0
1.6
1.1
7.2
9.2
53.5
103.1
43.5
173.1
100.9
34.9
30.0
188.5
AVERAGE
DIFFERENCE
(OBS-PRED)
-35.2
0.3
1.1
7.2
-172.3
-30.6
-134.5
-87.6
8.2
7.1
-209.6
~-25.3
-1880.7
STANDARD
DEVIATION
OF
RESIDUALS
268.2
5.7
1.1
14.8
415.6
292.3
637.3
331.1
643.6
327.4
655.8
133.3
8903.3
D-35
-------
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-------
APPENDIX E
COMPLETE GRAPHICAL COMPARISONS OF THE EIGHT MODELS
WITH THE OKLAHOMA AND SAVANNAH RIVER PLANT DATA BASES
-------
INTRODUCTION
This appendix provides a summary of the graphs prepared as part of the
model evaluation process. This appendix is divided into seven parts:
Part 1. This section provides the location of air samplers and a site map
for the Oklahoma experiments.
Part 2. This section provides several plots illustrating the evidence of a
low-lying nocturnal jet during the two Oklahoma experiments.
Part 3. This section provides isopleth plots of the predicted ground-level
concentrations of perfluorocarbon tracer for each averaging period
for the two Oklahoma experiments. An explanation of how to
interpret the plots is contained in Chapter 5.
Part 4. This section provides summary graphical plots of model performance
for each of the seven models and the Oklahoma data base. The
graph types included are:
* scatter plots of predicted and observed concentrations
(points paired in space and time)
* scatter plots of residual versus average of observed and
predicted concentrations (points paired in space and time),
* frequency distribution of predicted and observed
concentrations (points paired in space and time, then
unpaired for preparation of histogram)
* frequency histogram of residuals (points paired in space
and time), and
* cumulative frequency distribution of predicted and observed
concentrations (points paired in space and time, then
unpaired for preparation of cumulative frequency plots).
E-l
-------
Part 5. This section provides a plot of the air samplers and a site map
for the Savannah River Plant experiments.
Part 6. This section provides sketches of the model predictions and
measured data for each of the seven models for Cases 4B and 6C.
Similar graphs are available for each of the data sets and
averaging periods (65 in total) for each of the seven models.
Space limitations preclude presentation of all 455 graphs (65 x
7). Cases 4B and 6C present the highlights of the complete set of
graphs.
Part 7. This section presents summary graphs of model performance for each
of the seven models and Savannah River Plant data base. The graph
types included are:
* scatter plots of predicted and observed concentrations
(points paired in space and time),
* scatter plots of residual versus average of observed and
predicted concentrations (points paired in space and time),
* frequency distribution of predicted and observed
concentrations (points paired in space and time, then
unpaired for preparation of histogram),
* frequency histogram of residuals (points paired in space
and time), and
* cumulative frequency distribution of predicted and observed
concentrations (points paired in space and time, then
unpaired for preparation of cumulative frequency plots).
E-2
-------
1. LOCATION OF AIR SAMPLERS AND SITE MAP FOR OKLAHOMA EXPERIMENT
E-3
-------
36
35.5
35'
I A
B
Stillwater
JV -4-4 -4-'
22 i 23 24 2526s ,27 28 29/30
«•- N
X
•f 4 + .Surface Sampling Sites
$ ® Aircraft Flight Path
Release Site
i
"Norman
10
10
20
i
30
40
i
50
Kilometers
98°
97.5°
97°
96.5°
Figure E-l. Location of the sequential air samplers (BATS) and aircraft
sampling path at 100 km from the Oklahoma tracer release site.
E-4
-------
100°W
43° N
-—I-N-
NEBRASKA
I 7 I
, °34 6©0 /
_Q.Q..P_£n \-
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Rawinsonde Stations
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^
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0 50
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Kilometers
> j
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300 )
(
Figure E-2. Location of sequential samplers (BATS), LASL samplers, and
aircraft sampling flight path at 600 km from the Oklahoma tracer
release site.
E-5
-------
OKLAHOMA EXPERIMENT
101 W
B7°W
95* W 93* W 91° W
LONGITUDE
B9° W
Source: [3
100 Km Arc Receptor*: -|~
600 Km Arc Receptors:
Rauinsonde Station*:
WBAN Surface Station*:
Figure E-3. Location of significant source, weather and receptor sites for
Oklahoma Experiment.
E-6
-------
2. EVIDENCE OF LOW-LYING NOCTURNAL JET DURING THE OKLAHOMA STUDY
E-7
-------
Evidence of a Low-Lying Nocturnal Jet
During the Oklahoma Study
During the night of July 8-9 1980, an elevated nocturnal jet appears
to have developed over the study region. On the south end of the region,
the Jet seems to have started about 0000 GMT on July 9 (6 PM CST, July 8)
and at the north end of the region sometime between 0000 GMT and 0600 GMT
on July 9 (6 PM to midnight CST, July 8). The jet led to about a doubling
of the average wind speeds from a range of 8-12 m/s to a range of 16-24
m/s, with the higher values occurring in the northern half of the region.
The jet appeared to occupy a layer between about 600 m MSL and 1000 m MSL
in the southern half of the region; it was present at least up to 1000 m
above the 600 B MSL elevation in the northern half. The jet persisted at
least until 1200 GMT on July 9 (6 AM CST).
Evidence may be seen of the nocturnal jet in the attached graphs
plotted from the available tower and rawinsonde data. A summary of the
main conclusions that can be reached from an examination of the graphs
follows:
KTVY TOWER (plotted period: 1800 GMT July 8 - 0200 GMT July 9)
The tower had measurements at levels up to 444 m above ground (794 m
MSL). The measurements show a definite Increase in winds from 0000 GMT -
0200 GMT on July 9 for elevations above 100 m (450 m MSL). Wind speeds
averaging 5 m/s increased to 10-14 m/s on average.
TINKER AIR FORCE BASE SOUNDINGS (plotted period: 1700 GMT, July 8 - 0300
GMT, July 9)
Seven soundings were made during this period. They show the jet from
2100 GMT on July 8 through 0300 GMT on July 9 at elevations above 600 m
MSL. Average winds of 6 m/s aloft become 12 m/s, with winds of 16 m/s
occurring at 0300 GMT on July 9. These elevated winds can be seen from
600 m MSL to 900 m MSL.
MONETT, MISSOURI RAWINSONDE STATION (plotted period: 1800 GMT, July 8 -
1200 GMT, July 9)
In addition to the 0000 and 1200 GMT regular soundings on July 9, this
station took special soundings at 1800 GMT on July 8 and at 0600 GMT on
July 9. The nocturnal jet Is apparent in the 0600 GMT and 1200 GMT
soundings for July 9 at elevations above 600 m MSL; It appears clearly
E-8
-------
between 600 m MSL and 1000 m MSL. Average winds of 8 m/s increase to 12-16
m/s. These winds persist through 1200 GMT on July 9. (Thus, the Jet was
present at midnight and 6 AM CST, but not at 6PM on July 8. The tower data
confirm this because the tower winds only start to show the increase at
6 PM CST.)
TOPEKA, KANSAS RAW1NSONDE STATION (plotted period: 1800 GMT, July 8 -
1200 GMT, July 9)
Again, the 1800 GMT (for July 8) and the 0000 GMT (for July 9)
soundings do not reveal the jet but the 0600 and 1200 GMT (for July 9)
soundings do show its presence. The jet lies between 600 and 1400 m MSL,
and is present at higher levels at 1200 GMT on July 9. Average winds of
8-10 m/s aloft increase to 20-24 m/s. The jet is clearly stronger at this
more northerly reporting station.
OMAHA, NEBRASKA RAW1NSONDE STATION (plotted period: 1800 GMT, July 8 -
1200 GMT, July 9)
This is the most northern of the rawinsonde stations. The systematic
behavior of the data agrees largely with the Topeka, Kansas station but the
0600 GMT sounding on July 9 shows less of an increase in winds due to the
nocturnal jet.
E-9
-------
P
E
E
D
12
8
4
0
0 50 100 150 200 250 300 350 400 450
HEIGHT (H OBOVE GROUND)
July 8-9, 1980, wind speed profiles froi KTVY tower
•Q- 1900-2000 GMT
• 2000-2100 GMT
D 2100-2200 GMT
• 2200-2300 GMT
A 2300-0000 GMT
A 0000-0100 GMT
-|- 0100-0200 GMT
Add 350 m to convert to m MSL
Figure E-4. Wind speed profiles from KTVY tower for July 8-9, 1980 for
Oklahoma experiment.
E-10
-------
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TIME ON JULY 8-9 (GMT)
July 8-9, 1988, uind speeds at 2H and 444 i at KTVY
266 m above ground (616 m MSL)
444 m above ground (794 m MSL)
Note 266 m is a little stronger than 444 m
Figure E-5. Wind speeds at 266 and 444 meters at KTVY tower for
July 8-9, 1980 for Oklahoma experiment.
E-ll
-------
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TIME ON JULY 8-9 (GUT)
0200
July 8-9, 1988, wind speeds at 18, 24, 45, 89 and 177 • at KTVY
•O- 10 m
•» 24 m
D 45 m
• 89 m
A177 m
Figure E-6. Wind speeds at 10, 24, 45, 89 and 177 meters at KTVY tower for
July 8-9, 1980 for Oklahoma experiment.
E-12
-------
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TIME OH JULY 8-9 (GMT)
July 8-9, 1986, wind speeds at 18, 45, 177 and 444 i at KTVY
•
•* 10 m
Surface winds do drop at -2300-0100 GMT,
B 45 m but seem to pick up by 0200 GMT
A 177 m
Figure E-7. Wind speeds at 10, 45, 177 and 444 meters at KTVY tower for
July 8-9, 1980 for Oklahoma experiment.
E-13
-------
20
I .16
N
D
S 12
P
E
E
D 8
4
i i r
i i i i i i i i i
400 800 1200 1600 2000 2400
HEIGHT (H MSI)
July 8-9, 1980, yind speed profiles froi Tinker flFB
D 1700 GMT
» 1900 GMT
D 2100 GMT
• 0000 GMT (July 9)
A 0300 GMT
Figure E-8. Wind speed profiles from Tinker Air Force Base for
July 8-9, 1980 for Oklahoma experiment.
E-14
-------
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Monett, MO, soundings on 7/8 at 182 and 7/9 at 882, 862, 122
•» 18Z July 8
• OOZ July 9 N° dr°P°ff by 12Z
A 06Z July 9
-f 12Z July 9
Figure E-9. Wind speed soundings from Monett, Missouri on July 8, 1980
at 18Z and on July 9, 1980 at OOZ, 06Z and 12Z for Oklahoma
experiment.
E-15
-------
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A
-j-
18Z July 8
OOZ July 9
06Z July 9
12Z July 9
No dropoff by 12Z
Figure E-10. Wind speed soundings from Topeka, Kansas on July 8, 1980 at
18Z and on July 9, 1980 at OOZ, 06Z and 12Z for Oklahoma
experiment.
E-16
-------
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a, HE, soundings on 7/8 si 182 and 7/9 at 68Z, 862, 122
18Z July 8
• OOZ July 9
A 06Z July 9
-f- 12Z July 9
Note how these dropped off
Figure E-ll. Wind speed soundings at Omaha, Nebraska on July 8, 1980 at
18Z and on July 9. 1980 at OOZ, 06Z and 12Z for Oklahoma
experiment.
E-17
-------
3. ISOPLETH PLOTS OF PREDICTED GROUND-LEVEL CONCENTRATIONS
FOR THE OKLAHOMA EXPERIMENTS
E-18
-------
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E-102
-------
4. SUMMARY GRAPHICAL PLOTS COMPARING MODEL PREDICTIONS
AND FIELD DATA AT OKLAHOMA
E-103
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PARTS PER 10"15
90-
80
70-
FREQUENCY
688
30
20
10
0-
MESOPUFF MODEL - OKLAHOMA
'/////.
m
m
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H
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'JSMA
ea OBSERVED
(53 MESOPUFF
' SSS/Al 1 > 1 1 It . . . . . i
1 10 20 30 40 30 80 70 80 SO 100
CONCENTRATION (PARTS PER 10"15)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PARTS PER 10"15
MESOPUFF MODEL - OKLAHOMA
300 400 500 BOO 700 800
CONCENTRATION (PARTS PER 10"15)
Figure E-96.
Frequency distribution of predicted and observed concentrations
at Oklahoma for MESOPUFF based on points paired in space and
time ... (top) concentration range: 0 - 100 parts per 1015,
(bottom) concentration range: 100 - 1000 parts per 1015.
E-104
-------
FREQUENCY HISTOGRAM OF RESIDUALS
MESOPUFF MODEL - OKLAHOMA
40-
§
1
6 20-
10-
-100-BO -80 -70 -80 -50 -40 -30 -J
RESIDUAL
%
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a 3
77?^r77^
0 40 SO 60 70 80 BO 100
(OBSERVED - PREDICTED)
FREQUENCY
HISTOGRAM OF RESIDUALS
MESOPUFF MODEL - OKLAHOMA
ao-
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FREQUENCY
8 S £
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0 200 400 800 800 1000
RESIDUAL (OBSERVED - PREDICTED)
Figure E-97.
Frequency distribution of residuals at Oklahoma for MESOPUFF
based on points paired in space and time ...
(top) residual range: -100 to 100 parts per 1015,
(bottom) residual range- -1000 to 1000 parts per 1015.
E-105
-------
OBSERVED VS PREDICTED CONCENTRATIONS
10000-
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PREDIC
MESOPUFF MODEL - OKLAHOMA
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OBSERVED CONCENTRATION (PARTS PER 10"15)
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at Oklahoma for MESOPUFF ... points paired in space and time.
MOO
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AVERAGE OF OBSERVED AND PREDICTED
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MESOPUPF MODEL - OKLAHOMA
a
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CONCENTRATION (PARTS PER 10"15) ... (OBS°f PRED)/2 10°
00
Figure E-99. Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for MESOPUFF
... points paired in space and time.
E-106
-------
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E
100
10
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70
•0
50
4O
30
20
10
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
MESOPUFP MODEL - OKLAHOMA
OBSERVED
MESOPUFF
ID ipo 1000
CONCENTRATION (PARTS PER 10"15)
Figure E-100. Cumulative frequency distributions of MESOPUFF predictions
and observed concentrations at Oklahoma based on points paired
in space and time.
E-107
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PARTS PER 10"15
BO
80-
70-
80-
g-
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30-
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(
MESOPLUME MODEL - OKLAHOMA
ez OBSERVED
S3 MESOPLUME
:S^
m
wwv
•
M
1
•
) tO 20 30 40 50 80 70 80 90 100
CONCENTRATION (PARTS PER 10"15)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PARTS PER 10**15
MESOPLUME MODEL - OKLAHOMA
OBSERVED
ES MESOPLUME
300 400 500 BOO 700 BOO
CONCENTRATION (PARTS PER 10"*15)
Figure E-101.
Frequency distribution of predicted and observed concentrations
at Oklahoma for MESOPLUME based on points paired in space and
time ... (top) concentration range: 0 - 100 parts per 10^t
(bottom) concentration range: 100 - 1000 parts oer
E-108
-------
FREQUENCY HISTOGRAM OF RESIDUALS
FREQUENCY
S S 6 S
10-
0
MESOPLUME MODEL - OKLAHOMA
^
1
///X^//
///777\ V77\ V//Y//
10O-90 -80 -70 -80 -50 -40 -30 -ZO -10 0 10 ZO 30 40 90 80 70 80 90 10O
RESIDUAL (OBSERVED - PREDICTED)
FREQUENCY HISTOGRAM OF
RESIDUALS
MESOPLUME MODEL - OKLAHOMA
so-
so-
FREQUENCY
S 8 8 £
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0 Z(
-77^ _ r~~-
10 400 BOO 800 10
>0
RESIDUAL (OBSERVED - PREDICTED)
Figure E-102.
Frequency distribution of residuals at Oklahoma for MESOPLUME
based on points paired in space and time ...
(top) residual range: -100 to 100 parts per 1015, "
(bottom) residual range: -1000 to 1000 parts per 1015.
E-109
-------
OBSERVED VS PREDICTED CONCENTRATIONS
MESOPLUME MODEL - OKLAHOMA
10000^
2
O j
u
O. 1000
1
a..
55
O
§ 10°
£
z
u
o
•z.
O
U |
g l°
g
Q
W
O.
1
1
D ,-''
o ° ,,-6'' °
a ,-'
o a ,-• a
,--'
° °° s r.--""9'
o x**
D ,'
,-''' co" _
O r*
° ° .'' ° n
r D
,'' D
D
,'
a
a r.''
.-'
10 100 1000 10000
OBSERVED CONCENTRATION (PARTS PER 10"15)
Figure E-103. Scatter plot of predicted and observed averaged concentrations
at Oklahoma for MESOPLUME ... points paired in space and time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
3300-
1
BJ UOO-
CL.
1
a
g 0<
y>
tt>
O,
J -1100-
•<
Q
nl -z2oo-
-3300-
MESOPLUME MODEL - OKLAHOMA
a
a
a
o
o
^
cPo* ° °
*=>-. ^^o-^-ujflffflj^P-^^-^--^
a
o
a °
a
G o
o
10 100 1000 10000
CONCENTRATION (PARTS PER 10"15) ... (OBS+PRED)/3
Figure E-104. Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for MESOPLUME
... points paired in space and time.
E-110
-------
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
MESOPLUME MODEL - OKLAHOMA
too
i
1
e
80
SO
70-
80
50
40
30
ZO
10
0
OBSERVED
MESOPLUME
10 100 1000
CONCENTRATION (PARTS PER 10"15)
Figure E-105,
Cumulative frequency distributions of MESOPLUME predictions
and observed concentrations at Oklahoma based on points paired
in space and time.
E-lll
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS -
90
80
70-
80-
I50-
I ^
u.
30-
30-
10-
0-
(
RANGE: 0 - 100 PARTS PER 10' '15
MSPUFF MODEL - OKLAHOMA
\\.\\\
ZZSZJ553555
EZ! OBSERVED
S3 MSPUFF
) 10 20 30 40 50 60 70 80 90 100
CONCENTRATION (PARTS PER 10"15)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PARTS PER 10"15
MSPUFF MODEL - OKLAHOMA
300 400 500 600 700 800
CONCENTRATION (PARTS PER 10"15)
Figure E-106.
Frequency distribution of predicted and observed concentrations
at Oklahoma for MSPUFF based on points paired in space and
time ... (top) concentration range: 0 - 100 parts per
(bottom) concentration ranger 100 - 1000 parts per 10^
E-112
-------
FREQUENCY HISTOGRAM OF RESIDUALS
MSPUFF MODEL - OKLAHOMA
-100-90 -80 -70 -60 -SO -40 -30 -20 -10 0 10 20 30 40 SO 60 70 80 90 1OO
RESIDUAL (OBSERVED - PREDICTED)
FREQUENCY HISTOGRAM OF RESIDUALS
MSPUFF MODEL - OKLAHOMA
-1000 -800
-800 -400 -200 0 200 400 600
RESIDUAL (OBSERVED - PREDICTED)
Figure E-107.
Frequency distribution of residuals at Oklahoma for MSPUFF
based on points paired in space and time ...
(top) residual range: -100 to 100 parts per 1015,
(bottom) residual range: -1000 to 1000 parts per 1015.
E-113
-------
OBSERVED VS PREDICTED CONCENTRATIONS
MSPUFF MODEL - OKLAHOMA
b
1-4
£
O. 1000
&
K
o.
2
O
Ijj 100
CE
O
2
O '
(_>
Q lo
S
w
a.
,,-•'''
D
° D -<
0 a ° °
a a
On ° 0
00° a
o ° ».--' °
g n,.-Q
a a ,-
D ''
a a ,'a
a ° o' °
D *'' a
° ^ _,-'' 0
D ,,'''' °
t''
*'
,.-' ° a
_.-'
.•'
,-•''
1 10 100 1000 10000
OBSERVED CONCENTRATION (PARTS PER 10«*15)
Figure E-108. Scatter plot of predicted and observed averaged concentrations
at Oklahoma for MSPUFF ... points paired in space and time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
330O-
Q' 220O-
e
DUAL (OBSERVED - PREDIC
i
i o i
CO
CO
CB -ZZOO-
1
MSPUFF MODEL - OKLAHOMA
a
o
a
^ 0
ctf^ O
^^ D
a
a
cf
a
10 100 1000 10000
CONCENTRATION (PARTS PER 10"15) ... (OBS+PRBD)/3
Figure E-109. Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for MSPUFF
... points paired in space and time.
E-114
-------
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
MSPUFF MODEL - OKLAHOMA
I
90
80
70-
80
90
40
30
OBSERVED
MSPUFF
10 IQO 1000
CONCENTRATION (PARTS PER 10"15)
Figure E-110.
Cumulative frequency distributions of MSPUFF predictions
and observed concentrations at Oklahoma based on points paired
in space and time.
E-115
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PARTS PER 10"15
MESOPUFF II MODEL - OKLAHOMA
OBSERVED
S3 MESOPUFF II
20 30 40 SO SO 70 80
CONCENTRATION (PARTS PER 10"15)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PARTS PER 10**15
MESOPUFF II MODEL - OKLAHOMA
ZZ) OBSERVED
(S3 MESOPUFF II
30O 400 500 600 700 800
CONCENTRATION (PARTS PER 10"15)
Figure E-lll. Frequency distribution of predicted and observed concentrations
at Oklahoma for MESOPUFF II based on points paired in space and
time ... (top) concentration range: 0 - 100 parts per 1015,
(bottom) concentration range: 100 - 1000 parts per 1015.
E-116
-------
FREQUENCY HISTOGRAM OF RESIDUALS
MESOPUFF II
40
2
u
p
g
£ 20-
10-
0-
i > y ^i f j ji \/'/Yff
100-80 -80 -70 -80 -SO -40 -30 -i
RESIDUAL
'//
///
!0 -
MODEL - OKLAHOMA
^
//,
0 0 10 2
///
'VV
0 3
0 40 30 80 70 BO 90 in
O
(OBSERVED - PREDICTED)
FREQUENCY HISTOGRAM OF RESIDUALS
MESOPUFF II MODEL - OKLAHOMA
60-
50-
& 40-
IM.
20-
10-
F7-7>-^7'7^L^Hr77tf77
-1000 -800 -800 -400 -Z
^
00
d
VY\
w,
•'WE r *•_• ^"j"*- "*'T~T-hiM ir- T~r" * ^ s
0 200 400 800 800 1000
RESIDUAL (OBSERVED - PREDICTED)
Figure E-112.
Frequency distribution of residuals at Oklahoma for MESOPUFF II
based on points paired in space and time ...
(top) residual range: -100 to 100 parts per 1015,
(bottom) residual range: -1000 to 1000 parts per 1015.
E-117
-------
OBSERVED VS PREDICTED CONCENTRATIONS
10000
b
i
°» 1000
'D CONCENTRATION (Pi
s i
6
5 !
w
a
a.
i
i
MESOPUFF II MODEL - OKLAHOMA
3 a ,-''
0 a ° ,"'
3D 0 0 Q ,-•'
° °n ° ^ O
Q Q O Q El '
D x
o ° ° m jr'
a a o ,-' Q
o° a .-'a' °
o ,-6
D a ,.<* a a Q
0 a ,n'
o
° Sn' ° o° ° °
,^3 a a
a °
"~ 10 100 1000 10000
OBSERVED CONCENTRATION (PARTS PER 10"15)
Figure E-113. Scatter plot of predicted and observed averaged concentrations
at Oklahoma for MESOPUFF II ... points paired in soace and
time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
MESOPUFF II MODEL - OKLAHOMA
I **"
1
S 1100
1
g 0<
S
o_
*3 -ItOO-
Q
U
a -zzoa-
—3300-
i
o
o
a
0
y
*-^
o &? o n o
^tuft
TdP a
if
V
1
*
D
a
Q
10 100 1000 10000
CONCENTRATION (PARTS PER 10"15) ... (OBS+PRBD)/Z
Figure E-114.
Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for MESOPUFF II
... points paired in space and time.
E-118
-------
u
or
100
90
80
70
80
90
40
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
MESOPUFF II MODEL - OKLAHOMA
OBSERVED
MESOPUFF II
10 100 1000
CONCENTRATION (PARTS PER 10"15)
10000
Figure E-115. Cumulative frequency distributions of MESOPUFF II predictions
and observed concentrations at Oklahoma based on points paired
in space and time.
E-119
-------
60
!»H
H
1«
«
k,
30
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PARTS PER 10"15
ARRPA MODEL - OKLAHOMA
ea OBSERVED
S3 ARRPA
20 30 40 50 80 70 80
CONCENTRATION (PARTS PER 10*"15)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PARTS PER 10"15
ARRPA MODEL - OKLAHOMA
300 400 500 600 700 800
CONCENTRATION (PARTS PER 10"15)
Figure E-116.
Frequency distribution of predicted and observed concentrations
at Oklahoma for ARRPA based on points paired in space and
time ... (top) concentration range: 0 - 100 parts per 10^,
(bottom) concentration range: 100 - 1000 parts per
E-120
-------
FREQUENCY HISTOGRAM OF
40-
>• 30-
FREQUENC
Z 8
-100-90 -
RESIDUALS
ARRPA MODEL - OKLAHOMA
BO -70 -
BO -
r~_^L_
50 -40 -30 -20 -
d
^
'///
'///
0 0 10 2
%
0 ]
[7771 , „ \//A l/X^
0 40 50 80 TO 80 90 1OO
RESIDUAL (OBSERVED - PREDICTED)
FREQUENCY HISTOGRAM OF RESIDUALS
ARRPA MODEL - OKLAHOMA
00
so-
FREQUENCY
8 3 S
10-
0-
[TTTlTTy
rr-rt — VTTTTT/V/////.
-1000 -800 -600 -400 -200
%
i
1
V,
i
0 200 400 600 800 10OO
RESIDUAL (OBSERVED - PREDICTED)
Figure E-117.
Frequency distribution of residuals at Oklahoma for ARRPA
based on points paired in space and time ...
(top) residual range: -100 to 100 parts per 10^,
(bottom) residual range: -1000 to 1000 parts per
E-121
-------
OBSERVED VS PREDICTED CONCENTRATIONS
10000
«4
L
P. 1000
0
5 ioo
1
PREDICTED CONCE
.-•* o
ARRPA MODEL - OKLAHOMA
a o ,-'
, a a
' a a a Q
o
Q ** o
a -d' o
° " ° o° -'•'"'
°j, * D°0°oa ° «,-V' 0 °
° ,X'D
D -'
a ,- o
0 -V- °°
°o ?'-"" °
,,'D O
,-'' ° a D
.-a" o o
o a a
10 100 1000 10000
OBSERVED CONCENTRATION (PARTS PER 10"15)
Figure E-118. Scatter plot of predicted and observed averaged concentrations
at Oklahoma for ARRPA ... points paired in space and
time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
ARRPA MODEL - OKLAHOMA
•Q- 2ZOO-
1
5
eg
£ 1100-
a,
1
Q
> OH
g
n
a
O
J -1100-
D
Q
So
u
OJ -2200-
-3300-
1
§
o
o
o a
•
# °
^ECKB- m narrrtf" - - OMIA^Pf iQ i^6f£ "^B _^ , . o.tft ,.n
^toa^Ej'a
O —
S
QO o
D
a
D
D 0
o
10 IOO 1000 10000
CONCENTRATION (PARTS PER 10"15) ... (OBS+PRBD)/3
Figure E-119. Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for ARRPA
... points paired in space and time.
E-122
-------
100
80
BO
70
N
50
40
30
20
10
0
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
ARRPA MODEL - OKLAHOMA
OBSERVED
ARRPA
10 ipo 1000
CONCENTRATION (PARTS PER 10"15)
Figure E-120. Cumulative frequency distributions of ARRPA predictions and
observed concentrations at Oklahoma based on points paired in
space and time.
E-123
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PARTS PER 10"15
RTM-II MODEL - OKLAHOMA
EZ1 OBSERVED
ES RTM-II
30 40 50 80 70 80
CONCENTRATION (PARTS PER 10"15)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PARTS PER 10**15
RTM-II MODEL - OKLAHOMA
300 400 900 800 700 800 9OO
CONCENTRATION (PARTS PER 10"15)
Figure E-121.
Frequency distribution of predicted and observed concentrations
at Oklahoma for RTM-II based on points paired in space and
time ... (top) concentration range: 0 - 100 parts per 1015,
(bottom) concentration range: 100 - 1000 parts per 1015.
E-124
-------
z
u
Or
H
e
FREQUENCY HISTOGRAM OF RESIDUALS
RTM-II MODEL - OKLAHOMA
-100-90 -80 -70 -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 10O
RESIDUAL (OBSERVED - PREDICTED)
FREQUENCY HISTOGRAM OF RESIDUALS
70-
80-
so-
FREQUENCY
S 8 S
10-
0
RTM-II MODEL - OKLAHOMA
t
1
1
1
9.
7~77\
'//\ , , . , p-r-7-
1000 -800 -600 -400 -200 0 200 400 600 800 1000
RESIDUAL (OBSERVED - PREDICTED)
Figure E-122.
Frequency distribution of residuals at Oklahoma for RTM-II
based on points paired in space and time ...
(top) residual range: -100 to 100 parts per 1015,
(bottom) residual range: -1000 to 1000 parts per 1015.
E-125
-------
OBSERVED VS PREDICTED CONCENTRATIONS
RTM-II MODEL - OKLAHOMA
10000^
2
0
0. 1000
B
DC
ft-.
_
0
5 100
2
•z.
a
u
o
u
Q lo
u
g
Q
W
«
a.
1
,.-'
i DCD ° a °
0 ° ° D° 0 ° 0/0 D " °
o Q .X'' D o B*
T) ,^ Q
ffli o , "Jfa a
3 oo D[P ft 8 ° --''a ^ a
• a ° % a ,-''
8 a a> a ° »'"' ° °
° o ° o ° o °,%d'''
,' DO o
r' n
a X
a
a a
,-'''
D
,'
,-6'' o ° °
ib ioo lobo 10600
OBSERVED CONCENTRATION (PARTS PER 10**15)
Figure E-123. Scatter plot of predicted and observed averaged concentrations
at Oklahoma for RTM-II ... points paired in space and
time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
33OO-
•Q- 2200-
w
ISERVED - PREDICT
§
0
J -1100-
Q
a -3200
-3300-
1
RTM-II MODEL - OKLAHOMA
0
a
a
a
a
0
a
^ aa a
*m °aD°
o™
jMCXP ^mD
0 DO
^9
V, °
S°
10 160 lobo 10000
CONCENTRATION (PARTS PER 10"15) ... (OBS+PRED)/3
Figure E-124. Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for RTM-II
... points paired in space and time.
E-126
-------
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
RTM-II MODEL - OKLAHOMA
1
£
90-
80
70-
80
90
OBSERVED
RTM-II
10 ipo 1000
CONCENTRATION (PARTS PER 10"15)
Figure E-125.
Cumulative frequency distributions of RTM-II predictions and
observed concentrations at Oklahoma based on points paired in
space and time.
E-127
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PARTS PER 10"15
90-
80-
70-
FREQUENCY
6 8 S
3D
20
10
0
RADM MODEL - OKLAHOMA
NXXXS
$$$$&
H
§p§
M
88888
^
9
•
'/////.
{///ft
tt OBSERVED
S3 RADM
0 10 ZO 30 40 50 80 70 80 90 100
CONCENTRATION (PARTS PER 10*"15)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PARTS PER 10"15
RADM MODEL - OKLAHOMA
300 400 500 600 700 800
CONCENTRATION (PARTS PER 10"15)
Figure E-126.
Frequency distribution of predicted and observed concentrations
at Oklahoma for RADM based on points paired in space and
time ... (top) concentration range: 0 - 100 parts per
(bottom) concentration range: 100 - 1000 parts per
E-128
-------
FREQUENCY HISTOGRAM OF RESIDUALS
RADM MODEL - OKLAHOMA
40-
1,
10-
1
%
s//^y/^f y y™\ | * ' »i r ' '
-10O-90 -80 -70 -80 -SO -40 -30 -20 -10 0 10 20 30 40 SO 80 70 80 90 10O
RESIDUAL (OBSERVED - PREDICTED)
FREQUENCY HISTOGRAM OF RESIDUALS
RADM MODEL - OKLAHOMA
80-
50-
u ut-
FREQUEN
588
7-7-7^-^7771 177?,rr7?
-1000 -800 -800 -400 -200
&77l
%
W.
///
0 2(
)0 400 600 800 1000
RESIDUAL (OBSERVED - PREDICTED)
Figure E-127.
Frequency distribution of residuals at Oklahoma for RADM
based on points paired in space and time ...
(top) residual range: -100 to 100 parts per 1015,
(bottom) residual range: -1000 to 1000 parts per 1015.
E-129
-------
OBSERVED VS PREDICTED CONCENTRATIONS
RADM MODEL - OKLAHOMA
10000-q
b
•H
W 1
ft. 1000
B '
at
fe '
^
o
5 100
£
g
2
O
U
Q lo
w
g
5
u
a.
t
1
D
" o n
3 a a
a
o D ° a
g O f f*'
Da a D x,''
o a D a a a
a °
a 0 on.- a
o
Do ,-' 0
B ,.--' D
D D _,'' O
a
p-' ° a a °
.-' °
,'' D
x^'
a ,S a
,-' o a
'''' a
^'
D D
to 100 lobo 10600
OBSERVED CONCENTRATION (PARTS PER 10"15)
Figure E-128. Scatter plot of predicted and observed averaged concentrations
at Oklahoma for RADM ... points paired in space and time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
RADM MODEL - OKLAHOMA
2 zzoo
1
a
M
£ tioo
a.
1
§ 0<
n
CO
o,
J -1100-
D
Q
53
u
a: -2200-
-3300-1
a
a
o
O
a aa
u a
[ja^
^^b fT1
^
^ °
B a
Ti
B
a
1 10 100 1000 10000
CONCENTRATION (PARTS PER 10"15) ... (OBS+PRED)/2
Figure E-129. Scatter plot of average of observed and predicted
concentrations versus residuals at Oklahoma for RADM
... points paired in space and time.
E-130
-------
Or
w
£
too
BO
80
70-
90
90
4O-
30
20
to
0
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
RADM MODEL - OKLAHOMA
OBSERVED
RADM
10 100 1000
CONCENTRATION (PARTS PER 10"15)
Figure E-130. Cumulative frequency distributions of RADM predictions and
observed concentrations at Oklahoma based on points paired in
space and time.
E-131
-------
5. LOCATION OF AIR SAMPLERS AND SITE MAP FOR SAVANNAH RIVER PLANT EXPERIMENT
E-132
-------
SAVANNAH RIVER EXPERIMENT
Source: 0
Rawinsonde Stations: Q
Kr-£5 Samplers: V
WBAN Surface Stations:
Meteorological Towers: (O
84° W 83° W 82° W B1°W
LONGITUDE
Figure E-131. Location of significant source, weather and receptors sites for
Savannah River Plant Experiment.
E-133
-------
6. SKETCHES OF PREDICTED AND OBSERVED GROUND LEVEL CONCENTRATIONS
FOR TWO SAVANNAH RIVER PLANT EXPERIMENTS
SUBCASES 4B AND 6C
£-134
-------
BESflPUFF -- COSE « MOV 1« (MM H.) TO *Hf 19 (0800 Mil)
230 w.
200 KB-
100 KH-
U2>0
-21)
68 47
89 70 60
191 13H 91
111 152 151 127
100 KM
200
U (2200 H«) TO Hay 19 (0800 m)
0 -
100 KM
200 KM
Figure E-132. Comparison of 10-hour averages of predicted plume and observed
data (in pCi/nr*) for Savannah River Plant experiment of
November 18-19, 1976 (2200 to 0800 GMT) ...
(top) MESOPUFF predictions, (bottom) MESOPLUME predictions.
E-135
-------
HSPUFF -- Cftff
1» (1700 H.) TB IIOV 19 (0800 MB)
230 KK-
200 xn -
100 KM
12>0
(2>0
00-6
86 47
61 32 19
100 KM
200
ItSOPUFF II -- CA5F
III 17700 ...» T« M1V 19 (MOO ....
230 KH.
200 KH-
100 KH-
0 -
C2>0
100 KM
200 KM
Figure E-133. Comparison of 10-hour averages of predicted plume and observed
data (in pCi/nH) for Savannah River Plant experiment of
November 18-19, 1976 (2200 to 0800 GMT) ...
(top) MSPUFF predictions, (bottom) MESOPUFF II predictions.
E-136
-------
HTDB15 -- CASE IB MV 1« (2200 m) TO IBV 19 (0800 mi)
230 KM.
200 KM
100 KM-
21 36 2M
8 33
[1 40 118 144 148 124 94 66 44 28
269 248 203 156 112 74 47 28 17
k380 367 287 215 (gYgt, 74 44 25 14
272 238 171 61 36 19 0-15
57 68 66 54 37 22 12 63
15 20 20 16 10 6 3
C5>0
—I
100 KM
200 KM
tIH-ll - CA5F
18 (271HI Hill TO HOY 19 (0800 ml
230 KM-
200 MI-
100 KM-
(2>0
J0>48
117
133
147
100 KM
200 KM
Figure E-134.
Comparison of 10-hour averages of predicted plume and observed
data (in pCi/nH) for Savannah River Plant experiment of
November 18-19, 1976 (2200 to 0800 GMT) ...
(top) MTDDIS predictions, (bottom) RTM-II predictions.
E-137
-------
Mffl -- MSF 111 •"* '« (MO° "•' TnJIOY " (OMO "**•
230 KM
200 KM
100 KM-
1851
1067
,„., 2285
J262 g7i 329
699 29»
^218 ,99 380 J78 168
159. 360 312 135
30 2M8 3W 279
213
•13
C5>0
321
282
—I
100 KN
200 KM
Figure E-135. Comparison of 10-hour averages of predicted plume and observed
data (in pCi/nr) for Savannah River Plant experiment of
November 18-19, 1976 (2200 to 0800 GMT) ...
RADM predictions.
E-138
-------
BESOPUFF -- OSE EC fit 17 (2200 Hi) TB FE» U (MOO ml
10 52 25 21 18 15 11 12
4 17 29 32 26 20 17 15
100 Kfl-
0 -
100 KM
200 KM
ItSOPlUHE -- C»5E 6C FE1 17 (7200 H.I TO FE» 1« 10»OO ml
230 W.
200 KB-
100 K«-
0 -
C2>1
J3>"
16
618 27K
38 29 19 19 1
-------
HSPUFF — CUSE SC FFI 17 (7700 n«) TO Fit 18 (0800 nil
230 KH
200 KM
100 KM-
0 -
13>0
©-16
©-3
—I
100 KM
1
200 KM
KSOPBFF II -- CASE 6C FEB 17 (2200 Mil) TO FEB 18 (WOO M)
230 KM
200 KM
100 KM-
C2>1
(3>3
100 KM
1
200 KM
Figure E-137.
Comparison of 10-hour averages of predicted plume and observed
data (in pCi/m3) for Savannah River Plant experiment of
February 17-18, 1977 (2200 to 0800 GMT) ...
(top) MSPUFF predictions, (bottom) MESOPUFF II predictions.
E-140
-------
HTDBIS -- CASE BC FE» 17 (2200 HK) TO FE« 18 (0800 H.)
230 KM.
200 KM-
100 KM-
0 -
<§H>
^ » /*"''
£§\46 44
/2 14 61
/3 11 37
A 3 12 33
(T)-3 114 11 29
Ov ll 3 10 23
(4>.0 \
\1 2 7 15
\2 5 10
-r— V 4 8 15
».
17 26 24 15 8 4 3 2
63 80 68 40 20 116 4
106 135 116 72 39 21 © 8 5
88 131 128 92 57 35 <
70 107 116 98 72 51
57 86 101 98 83 65 48
45 70 88 94 88 75 61 35
28 46 64 78 84 83 77 67
19 31 '46 60 CD"2*1 79 81 78
26 38 52 64 73 78 80
100 KM
200 KM
MH-ll -- USE 6C fit 17 »MO H«) ta FEB 1« (QgQO N.|
230 KM.
200 KM-
100 KM-
0 -
-16
6>24\3 7 12 14
4 91 12
100 KM
200 KM
Figure E-138. Comparison of 10-hour averages of predicted plume and observed
data (in pCi/m^) for Savannah River Plant experiment of
February 17-18, 1977 (2200 to 0800 GMT) ...
(top) MTDDIS predictions, (bottom) RTM-II predictions.
E-141
-------
UDH -- CASE tf FE» 17 (?MO M.I TO FE1 1« (MOO ml
250 KM-
200 KK-
100 KH-
C2M
Ci>-o
ID-"
C6>2«
—I
100 KM
1
200 KM
Figure E-139.
Comparison of 10-hour averages of predicted plume and observed
data (in pCi/m3) for Savannah River Plant experiment of
February 17-18, 1977 (2200 to 0800 GMT) ...
RADM predictions.
E-142
-------
7. SUMMARY GRAPHICAL PLOTS COMPARING MODEL PREDICTIONS
AND FIELD DATA AT SAVANNAH RIVER PLANT
E-143
-------
80-
70-
60-
g
I50'
D
H 40-
£
30-
20-
10-
0-
(
F
\SNx^
\v\vs
§§^
) 1
REQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PCI/M"3
MESOPUFF MODEL - SAVANNAH RIVER PLANT
E2 OBSERVED
KS MESOPUFF
»
/////
yyyyy§ /S/SSi v&y&A < i j ; i >\> > • > r n- 1 • • • \
0 20 30 40 50 60 70 80 90 1C
CONCENTRATION (PCI/M"3)
0
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PCI/M"3
12-
11-
10-
8-
fe '-
§
D «-
t. 5"
3-
2-
1-
0-
1
MESOPUFF
'Wfa.
m
1
kV\\\VN
•
DO 200 3(
%/%]
m$&
)0 4
MODEL - SAVANNAH RIVER PLANT
eZJ OBSERVED
KS MESOPUFF
[7^//O'/^/KVV\V\
^^^(^SSS^!^^^'^^
)0 900 600 700 8(
)0 900 10
30
CONCENTRATION (PCI/M**3)
Figure E-140.
Frequency distribution of predicted and observed concentrations
at Savannah River Plant for MESOPUFF based on points paired in
space and time ...
(top) concentration range: 0 - 100 pCi/m3,
(bottom) concentration range: 100 - 1000 pCi/m .
E-14A
-------
FREQUENCY HISTOGRAM OF RESIDUALS
MESOPUFF MODEL - SAVANNAH RIVER PLANT
-10O-90 -80 -70 -60 -SO -40 -30 -20 -10 0 10 20 30 40 SO 60 70 80 90 100
RESIDUAL (OBSERVED - PREDICTED)
FREQUENCY HISTOGRAM OF RESIDUALS
MESOPUFF MODEL - SAVANNAH RIVER PLANT
«o-
50-
i40-
Of
i 30
10-
10-
0-
J
!
^7771
1000 -600 -600 -400 -ZOO 0 ZOO 400 600 800 10OO
RESIDUAL (OBSERVED - PREDICTED)
Figure E-141.
Frequency distribution of residuals at Savannah River Plant for
MESOPUFF based on points paired in space and time ...
(top) residual range: -100 to 100 pCi/m^,
(bottom) residual range: -1000 to 1000 pCi/m3.
E-145
-------
OBSERVED VS PREDICTED CONCENTRATIONS
10000
CO
3
£ l°°°:
&
o
i
o i
o
Q
5 io
Q
&
O.
li
1
MESOPUFF MODEL - SAVANNAH RIVER PLANT
n
D
D ,-''
D 0 0 ,,-''
0 Q
°D o o ,/°
a ,'' o
a o-'
0 _,tr a o
a ,-'' °
0 a ,-''
0
a a o ,,' a a
a
° ° a a
8 ''' o
,-''
t» 0° ,-•'' ° ° D D
D°0°,.--'' °° ^
*' r, ° 0
10 100 1000 10000
OBSERVED CONCENTRATION (PCI/M"3)
Figure E-142. Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for MESOPUFF ... points paired in space
and time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
3300-
•Q- Z20O-
1 uoo-
a,
i
1 -
I
J -1100-
Q
§
CB -2200-
-3300-
1
MESOPUFF MODEL - SAVANNAH RIVER PLANT
a
^
cP
^rfBa °
^^•••••n^^aHj Bl1 °^ oa ^^
aP a
an
°DO
a
10 100 1000 10000
CONCENTRATION (PCI/M"3) ... (OBS+PRED)/8
Figure E-143. Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
MESOPUFF ... points paired in space and time.
E-146
-------
I
E
100
•0
to-
70
M
M
40
30
20
10
0
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
MESOPUFF MODEL - SAVANNAH RIVER PLANT
OBSERVED
MESOPUFF
10 100 1000
CONCENTRATION (PCI/M"3)
Figure E-144. Cumulative frequency distributions of MESOPUFF predictions and
observed concentrations at Savannah River Plant based on points
paired in space and time.
E-147
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PCI/M"3
MESOPLUME MODEL - SAVANNAH RIVER PLANT
80
70-
60
30-
ZO-
10
1
ii
I
m
m
m
m
>
ifStxxxS
JOsXxx
eZI OBSERVED
(S3 MESOPLUME
''////,, ^t.V.T™
0 10 20 30 40 50 60 70 80 9O 100
CONCENTRATION (PCI/M"3)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PCI/M"3
MESOPLUME MODEL - SAVANNAH RIVER PLANT
OBSERVED
ISS MESOPLUME
400 500 800 700 BOO
CONCENTRATION (PCI/M"3)
Figure E-145.
Frequency distribution of predicted and observed concentrations
at Savannah River Plant for MESOPLUME based on points paired in
space and time ...
(top) concentration range: 0 - 100 pCi/m^
(bottom) concentration range: 100 - 1000
E-148
-------
FREQUENCY HISTOGRAM OF RESIDUALS
MESOPLUME MODEL - SAVANNAH RIVER PLANT
50
-100-90 -80 -70 -60 -SO -40 -30 -20 -10 0 10 20 30 40 90 60 70 80 90 10O
RESIDUAL (OBSERVED - PREDICTED)
FREQUENCY HISTOGRAM OF RESIDUALS
MESOPLUME MODEL
FREQUENCY
s s s § ;
20-
10-
\r J r\ Y/S
-1000 -800 -600 -400 -200
- SAVANNAH RIVER PLANT
s//
%
vs.
I
1
^
y//.
y&
a 2(
77A
)0 400 600 800 1000
RESIDUAL (OBSERVED - PREDICTED)
Figure E-1A6.
Frequency distribution of residuals at Savannah River Plant for
MESOPLUME based on points paired in space and time ...
(top) residual range: -100 to 100 pCi/tn3,
(bottom) residual range: -1000 to 1000 pCi/m3.
E-149
-------
OBSERVED VS PREDICTED CONCENTRATIONS
MESOPLUME MODEL - SAVANNAH RIVER PLANT
10000-1
r !
?tf
>w
>> 1000
cu
"•— '
o
E3
£• 100
u
0
z
0
u
a '
U 10
a
Cd
a:
a.
-••'''
a
a a
o
D a
o ° ° a ,-''
° o o -"'a a
.•'' °
° ° ' ,-d' ° o
o a ° _,--'a
s'
a
O ''
0(3 n X
D O D n n
, Q u a
a o a a,-'
'U
,'' D D
ffi ° ,-p
° .•'' 0 0
i 10 ido 1000 taboo
OBSERVED CONCENTRATION (PCI/M"3)
Figure E-147. Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for MESOPLUME ... points paired in
space and time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
3300
a
0- 1100
o.
1
i 0<
CO
DO
0
J -HOC-
D
a
OT
a: -2zoo-
-3300-
1
MESOPLUME MODEL - SAVANNAH RIVER PLANT
a
ff
Q
•P0
U B 'JHffi^fffi mi** |M|1 p o n a a
t* a
" a
a
a
a
a
10 100 1000 10000
CONCENTRATION (PCI/M'"3) ... (OBS+PRED)/2
Figure E-148. Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
MESOPLUME ... points paired in space and time.
E-150
-------
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
MESOPLUME MODEL - SAVANNAH RIVER PLANT
u
I
£
too
90
80
70-
80
SO-
40
30
OBSERVED
MESOPLUME
too 1000
CONCENTRATION (PCI/M"3)
Figure E-149.
Cumulative frequency distributions of MESOPLUME predictions and
observed concentrations at Savannah River Plant based on points
paired in space and time.
E-151
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PCI/M"3
MSPUFF MODEL - SAVANNAH RIVER PLANT
•4"
30 40 50 60 70
CONCENTRATION (PCI/M"3)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PCI/M"3
MSPUFF MODEL - SAVANNAH RIVER PLANT
OBSERVED
MSPUFF
300 400 500 600 700 800
CONCENTRATION (PCI/M"3)
Figure E-150. Frequency distribution of predicted and observed concentrations
at Savannah River Plant for MSPUFF based on points paired in
space and time ...
(top) concentration range: 0 - 100 pCi/tn^,
(bottom) concentration range: 100 - 1000
E-152
-------
FREQUENCY HISTOGRAM OF RESIDUALS
MSPUFF MODEL - SAVANNAH RIVER PLANT
-100-90 -80 -70 -60 -SO -40 -30 -20 -10 0 10 ZO 30 40 50 60 70 80 90 1OO
RESIDUAL (OBSERVED - PREDICTED)
FREQUENCY
HISTOGRAM OF
MSPUFF MODEL -
80
FREQUENCY
8 8 S
20
10-
-r^u_^
-looo -800 -aoo -400 -z
RESIDUAL
-------
OBSERVED VS PREDICTED CONCENTRATIONS
MSPUFF MODEL - SAVANNAH RIVER PLANT
f '•
»• tooo
Sj»
X
0
i
g 100
H
U
I
Q
O 10
H
Cd
0.
1
a
a a ^,-'
a ,-''
a
a a
a
o a °
a _ ,''' a
3 a a D ,-• CD o
a ,'' o
a o a
Q '
o a o --'' a °
° ,,-fa'''
a .•' a
0
,'
3 0° ,,--' o o a °
a
,•' o °
D°
10 100 1000 10000
OBSERVED CONCENTRATION (PCI/M"3)
Figure E-152. Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for MSPUFF ... points paired in space
and time.
•Q- 2200-
1
1
1 "
ta
to
O
J -1100
a
en
Cd
« -2200
1
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
MSPUFF MODEL - SAVANNAH RIVER PLANT
o
So
f
^Jfltlp^
^^—-^^fMf~^ °a
DCUQ Q D
a
o
a
10 100 1000 10(
CONCENTRATION (PCI/M"3) ... (OBS+PRED)/Z
100
Figure E-153. Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
MSPUFF ... points paired in space and time.
E-154
-------
u
Of
u
K
u.
BO
BO
70
«0
50
40
30
20
10
0
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
MSPUFF MODEL - SAVANNAH RIVER PLANT
OBSERVED
MSPUFF
10 100 1000
CONCENTRATION (PCI/M"3)
Figure E-154. Cumulative frequency distributions of MSPUFF predictions and
observed concentrations at Savannah River Plant based on points
paired in soace and time.
E-155
-------
30-
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PCI/M"3
MESOPUFF II MODEL - SAVANNAH RIVER PLANT
ZZ1 OBSERVED
K3 MESOPUFF II
no 40 ".n no 70
CONCENTRATION (PCI/W3)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS -
RANGE: 100 - 1000 PCI/M"3
MESOPUFF II MODEL - SAVANNAH RIVER PLANT
11-
10-
B-
§ 7
D «-
Of
ia
£ 5-
3-
2
l-
ZZl OBSERVED
S3 MESOPUFF II
B
vvSooXi
im
9
to
'///W/
100 aoo 3f
iOOOOO1
0 4f
X XX"\"v. \
xlxxOvV
1$$$$&
O "iC
0 B(
4wvv<
)0 7C
CONCENTRATION (PCt/M"
\^^
0 8(
3)
>0 900 1000
Figure E-155.
Frequency distribution of predicted and observed concentrations
at Savannah River Plant for MESOPUFF II based on points paired
in space and time ...
(top) concentration range: 0 - 100 pCi/ra3,
(bottom) concentration range: 100 - 1000 pCi/m3.
E-156
-------
FREQUENCY
HISTOGRAM OF
MESOPUFF II MODEL
40-
o
FREQUEN
3
10-
a ,, , ,, ?77777Y//h-rT
-10O-90 -80 -70 -80 -50 -40 -
'///
10 -
RESIDUAL
I
>o -
RESIDUALS
- SAVANNAH RIVER PLANT
f-
1
I
»
1
r^
0 0 10 2
0 3
0 40 SO 80 70 80 90 100
(OBSERVED - PREDICTED)
FREQUENCY
70-
80-
FREQUENCY
s s s
20
10
0
HISTOGRAM OF
RESIDUALS
MESOPUFF II MODEL - SAVANNAH RIVER PLANT
^
I
1
1
1
1
i
^
7-7-71
1000 -800 -800 -400 -200 0 700 400 BOO BOO 1000
RESIDUAL (OBSERVED - I'KIIDICTED)
Figure E-156.
Frequency distribution of residuals at Savannah River Plant for
MESOPUFF II based on points paired in space and time ...
(top) residual range: -100 to 100 pCi/m^,
(bottom) residual range: -1000 to 1000 pCi/m3.
E-157
-------
OBSERVED VS PREDICTED CONCENTRATIONS
10000
p- 1000;
Q*
O I
£5
1 "°
8
Q
O 10
Q
cd
a
a.
i
MESOPUFF II MODEL - SAVANNAH RIVER PLANT
O ,''
a
a
a ° ,-'
o o° a
a oo
a ° 8 o° " °
f° ° Hj° aaD °aa --'
o° a° o ° a ° ?,-X
\ * " Q a »X ° °o
DO -'a
g o a a a a
' a ° °X''' a a a a
° ,-' ° a
,' a o
a .-' D
,--'' ° G ^ a
o
a a
10 100 lobo " 10600
OBSERVED CONCENTRATION (PCI/M"3)
Figure E-157. Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for MESOPUFF II ... points paired in
space and time. _
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
MESOPUFF II MODEL - SAVANNAH RIVER PLANT
3300^ ' ' "~ ' _^ ^^ ^ 1— -_-^ _^ M^^,^^^^
1
Q
u
£ 1100-
Q.
1
a
g
^ 0H
g
s
0
J -1100-
^
a
£
CB -2200-
1
a
8
a
a
o>
.-_- _,^^^— ^•t^nr»rflHiHWt**1M^1 nP
'^••••••^^••••••IWMHHHHSjJtofiJrocr an
^3
%
a
a
D
a
a
10 100 1000 10000
CONCENTRATION (PCI/M"3) ... (OBS+PRED)/2
Figure E-158.
Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
MESOPUFF II ... points paired in space and time.
E-158
-------
u
o
u
85
100
80
80
70-
•0
SO
40
30-
20-
10
0
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
MESOPUFF II MODEL - SAVANNAH RIVER PLANT
OBSERVED
MESOPUFF II
10 ino 1000
CONCENTRATION (PCI/M"3)
Figure E-159. Cumulative frequency distributions of MESOPUFF II predictions
and observed concentrations at Savannah River Plant based on
points paired in space and time.
E-159
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PCI/M"3
90-
80-
70-
FREQUENCY
6 3 S
30-
20-
10
0-
MTDDIS
HI
Hi
1
in
•
MODEL - SAVANNAH RIVER PLANT
EZ1 OBSERVED
ES MTDDIS
^
y&w.
) 10 7
0 30 40 50 60 70 80 90 100
CONCENTRATION (PCI/M"3)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PCI/M"3
MTDDIS MODEL - SAVANNAH RIVER PLANT
400 500 BOO 700
CONCENTRATION (PCI/M"3)
Figure E-160.
Frequency distribution of predicted and observed concentrations
at Savannah River Plant for MTDDIS based on points paired
in space and time ...
(top) concentration range: 0 - 100 pCi/nH,
(bottom) concentration range: 100 - 1000
E-160
-------
FREQUENCY
HISTOGRAM OF RESIDUALS
MTDDIS MODEL - SAVANNAH RIVER PLANT
40-
FREQUENCY
S 8
10-
^--YTrfZm
-100-90 -80 -70 -80 -50 -40 -30 -
RESIDUAL
1
'//,
|
>0 -10 0 1
(OBSERVED
^
0 20 3
0 40 SO 60 70 80 90 1OO
- PREDICTED)
FREQUENCY
70-
80
50-
G 40
or
U3 „
K 30-
20-
10
0-
HISTOGRAM OF RESIDUALS
MTDDIS MODEL - SAVANNAH RIVER PLANT
^
//^/
%
Y//,
ty
I
i
i
1000 -800 -800 -400 -200 0
RESIDUAL (OBSERVED
200 400 800 800 1000
- PREDICTED)
Figure E-161.
Frequency distribution of residuals at Savannah River Plant for
MTDDIS based on points paired in space and time ...
(top) residual range: -100 to 100 pCi/m^,
(bottom) residual range: -1000 to 1000 pCi/m3.
E-161
-------
OBSERVED VS PREDICTED CONCENTRATIONS
MTDDIS MODEL - SAVANNAH RIVER PLANT
100001] " ~ ""
,*•«•.
CO
»
3
«• 1000
X
o
<
r
g 100
8
Z
o
u
1
b 10
a
ca
K
CU
o °
a o.-'
a ,-•'
,*'
n O Q ' _
o B o a o ° a •
a ° -'
o °° a° ••'' a
00 o Dn fa a # D D«
0 n ff 8 Oo o a ,-X n °
DO OJ3 O M Q 1? tf3^ °
^ D W,'' a _
^H a aa Cb'i ° °-' a ° ° o
Q a O ,'' ff 2
O Q,' 0 a D
% x.*lfl ^
tP a _ oa a.-' ° °
b D°Di5 ODO y a a a a
,.« 0°° a
D ,' D
a,-'' °
o
TJP.'' a n
.cfi a
.•^a o
i 10 too 1000 10000
OBSERVED CONCENTRATION (PCI/M**3)
Figure E-162. Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for MTDDIS ... points paired in
space and time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
330O-
•jj ZiOO-
a
" 1100-
I °'
u
n
O, •
J -1100-
Q
U
CC -2200-
-3300-
MTDDIS MODEL - SAVANNAH RIVER PLANT
a
a
a
0
* a °° °
i — -UHiBHWDIQlJgil^^ ^ 0
VDa °
G a
a
a
10 100 1000 10000
CONCENTRATION (PCI/M**3) ... (OBS+PRED)/8
Figure E-163. Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
MTDDIS ... points paired in space and time.
E-162
-------
I
ao
70-
40
20-
10
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
MTDDIS MODEL - SAVANNAH RIVER PLANT
OBSERVED
MTDDIS
10 100 1000
CONCENTRATION (PCI/M"*3)
Figure E-164. Cumulative frequency distributions of MTDDIS predictions
and observed concentrations at Savannah River Plant based on
points paired in space and time.
E-163
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PCI/M"3
90-
80-
70-
80-
2 SO-
W
I40'
b
30-
20
10-
0-
C
RTM-II MODEL - SAVANNAH RIVER PLANT
d OBSERVED
KS RTM-II
TO
coy
%&$$k>»»Lv>xV,i
10 20 30 40 50 80 70 80 90 100
CONCENTRATION (PCI/MV"3)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS -
RTM-II MODEL -
H-
10-
8-
8-
1 "
£ 5-
4-
2-
1-
RANGE
100 - 1000 PCI/M"3
SAVANNAH RIVER PLANT
Z2I OBSERVED
KS RTM-II
H
•
m
®m
^
^S\X^>
^^^s
100 200 3(
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^^?
0 5f
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o ec
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m%&
a TC
SSSSk
0 800 900 1000
CONCENTRATION (PCI/M"3)
Figure E-165,
Frequency distribution of predicted and observed concentrations
at Savannah River Plant for RTM-II based on points paired
in space and time ...
(top) concentration range: 0 - 100 pCi/raP,
(bottom) concentration range: 100 - 1000
E-164
-------
FREQUENCY
HISTOGRAM OF
RTM-H MODEL -
40-
FREQUENCY
8 §
10
rr-n rr-r777\ ^V/xl__
-10O-90 -80 -70 -60 -SO -40 -
^
JO -
RESIDUAL
^
;o -
SAVANNAH
///
i
^
i
f%
^
0 0 10 2
RESIDUALS
RIVER PLANT
y//^//\77T(77Y77\
0 30 4O 30 60 7
t""l
0 80 SO 1OO
(OBSERVED - PREDICTED)
FREQUENCY HISTOGRAM OF RESIDUALS
RTM-II MODEL - SAVANNAH
60-
FREQUENCY
3 £ 8
zo-
10-
0-
, . j,.
1000 -800 -800 -400 -Z
RES1DUAL
%
'///
1
\
1
00 0 ZC
RIVER PLANT
Wn
0 400 800 800 10
00
(OBSERVED - PREDICTED)
Figure E-166.
Frequency distribution of residuals at Savannah River Plant for
RTM-II based on points paired in space and time ...
(top) residual range: -100 to 100 pCi/m3,
(bottom) residual range: -1000 to 1000 pCi/ra-*.
E-165
-------
OBSERVED VS PREDICTED CONCENTRATIONS
10000
K
~- 1000
&
o
2 lOOi
§
u
1
b 10
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Ed
K
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I
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RTM-II MODEL - SAVANNAH RIVER PLANT
a
a
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a %
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0 DDQ 0°.,-''' " a °
,--' a a cP a
y' a a a
D n
10 100 loop 10000
OBSERVED CONCENTRATION (PCI/M"3)
Figure E-167. Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for RTM-II ... points paired in
space and time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
RTM-II MODEL - SAVANNAH RIVER PLANT
Q1 2ZOO-
5
o- 1100
0,
1
g "
m
&
J -1100-
£
Q
a -zzoo-
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i
a
sa
a
a
iP o
a*mm*^afm^*ia^&^^^mnf[q^~&~ tyi a
°Sto D
^^t^ a
i-1
a
a
a
a
10 100 1000 10000
CONCENTRATION (PCI/M"3) ... (OBS+PRED)/3
Figure E-168. Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
RTM-II ... points paired in space and time.
E-166
-------
B
§
3
£
90
(0
70
DO
90
40
30
20
CUMULATrVB FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
RTM-II MODEL - SAVANNAH RIVER PLANT
OBSERVED
RTM-II
10 100 1000
CONCENTRATION (PCI/M"*3)
10000
Figure E-169.
Cumulative frequency distributions of RTM-II predictions
and observed concentrations at Savannah River Plant based on
points paired in space and time.
E-167
-------
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 0 - 100 PCI/M"3
RADM MODEL - SAVANNAH RIVER PLANT
00-
1 »•
or
W 40-
E
30-
20-
10
C
ezi OBSERVED
KS RADM
m
> t
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0 20 30 40 JO 80 70 80 90 1G
0
CONCENTRATION (PCI/M"3)
FREQUENCY DISTRIBUTION OF PREDICTED AND OBSERVED
CONCENTRATIONS - RANGE: 100 - 1000 PCI/M"3
RADM MODEL - SAVANNAH RIVER PLANT
300 400 SOO 600 700 800
CONCENTRATION (PCI/M"3)
Figure E-170.
Frequency distribution of predicted and observed concentrations
at Savannah River Plant for RADM based on points paired
in space and time ...
(top) concentration range: 0 - 100 pCi/nH,
(bottom) concentration range: 100 - 1000
E-168
-------
FREQUENCY HISTOGRAM OF RESIDUALS
RADM MODEL - SAVANNAH RIVER PLANT
FREQUENCY
5 S S S S
•• — p'-yyj f f f^ - f i r//ji * > -•*
\
S//
//s
-100-90 -80 -70 -80 -50 -40 -30 -20 -10 0 10 Z
/s/
0 3
r/r/r/V77y//')rr7-7\
0 40 50 80 70 80 BO 100
RESIDUAL (OBSERVED - PREDICTED)
FREQUENCY HISTOGRAM OF RESIDUALS
RADM MODEL - SAVANNAH RIVER PLANT
FREQUENCY
g £ S 8 c
20
10
r, ._, ^n-377/
-1000 -800 -800 -400 -2
RESIDUAL
v/
00
^
i
%.
'//,.
^
0 Zl
0 400 600 800 1000
(OBSERVED - PREDICTED)
Figure E-171.
Frequency distribution of residuals at Savannah River Plant for
RADM based on points paired in space and time ...
(top) residual range: -100 to 100 pCi/m3,
(bottom) residual range: -1000 to 1000 pCi/m3.
E-169
-------
OBSERVED VS PREDICTED CONCENTRATIONS
RADM MODEL - SAVANNAH RIVER PLANT
10000?
CO
31
»• 1000
z
O |
t?
ffi
2 100
u
2
8
S
O 10
5
u
cc '
0,
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D n ,-'
D ,'
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0 0 D" 0
P a + °
BO ° ° n° ° -' 0
a °fl ° Q8 ° a°o X
O D a •'
a ,- Q a
° a X a %
o a
,'' a
a a --' o
n -'b o a
a ° ° .-•
a
a a
,r
,'' o
,'' a
_,?' 0
1 10 100 , 1000 10000
OBSERVED CONCENTRATION (PCI/M"3)
Figure E-172. Scatter plot of predicted and observed averaged concentrations
at Savannah River Plant for RADM ... points paired in
space and time.
AVERAGE OF OBSERVED AND PREDICTED
CONCENTRATIONS VS RESIDUALS
RADM MODEL - SAVANNAH RIVER PLANT
I ""
u
ae 1100
a.
1
g
^ Q*
as
u
CQ
O
O.
J -1100-
3
a
n
at -zzoo
—3300-
a
S
a
o
0 °
i iuwwff'J]'m13±"^'P8'" °
Cj O
» a
Q 0
f_
a
0D
°°
1 10 100 1000 10000
CONCENTRATION (PCI/M"3) ... (OBS-l-PRED)/2
Figure E-173.
Scatter plot of average of observed and predicted
concentrations versus residuals at Savannah River Plant for
RADM ... points paired in space and time.
E-170
-------
100
go
so
70
I "
D 50
b. 40
30
20
10
0
CUMULATIVE FREQUENCY DISTRIBUTION
OF PREDICTED AND OBSERVED CONCENTRATIONS
RADM MODEL - SAVANNAH RIVER PLANT
OBSERVED
RADM
10 100 1000
CONCENTRATION (PCI/M"3)
Figure E-174. Cumulative frequency distributions of RADM predictions
and observed concentrations at Savannah River Plant based on
points paired in space and time.
E-171
-------
TECHNICAL REPORT DATA
(Please read Instructions on the reverse before completing)
1. REPORT NO.
2.
3. RECIPIENT'S ACCESSION NO.
•— 1 • 1 ~ "u* Vf / ^ ......
4. TITLE ANb SUBTITL
Evaluation of Short-Term Long-Range Transport
Models—Volume II Appendices A-E
5. REPORT DATE date oj prepa/a. tlor
October 19£6
6. PERFORMING ORGANIZATION CODE
7. AUTHOR(S)
A. J. Policastro, M. Wastag, L. Coke, R. A. Carhart,
and W. E. Dunn
8. PERFORMING ORGANIZATION REPORT NO.
9. PERFORMING ORGANIZATION NAME AND ADDRESS
Argonne National Lab.
Argonne, Illinois
60439
U. of Illinois
Chicago, 111.
60680
U. of Illinois
UrBana, 111.
61801
10. PROGRAM ELEMENT NO.
B24A2F
11. CONTRACT/GRANT NO.
DW89930807
12. SPONSORING AGENCY NAME AND ADDRESS
U. S. Environmental Protection Agency
Office of Air Quality Planning and Standards
Research Triangle Park, NC 27711
13. TYPE OF REPORT AND PERIOD COVERED
Final report
14. SPONSORING AGENCY CODE
15. SUPPLEMENTARY NOTES
16. ABSTRACT
Eight short-term long-range transport models (MESOPUFF, MESOPLUME, MSPUFF,
CSOPUFF II, MTDOIS, ARRPA, RADM, and RTM-II) have been evaluated with field data from
two data bases involving tracer releases. The primary quantitative means of evaluating
nodel performance was the use of the American Meteorological Society statistics. Sup-
Dlementary measures included the use of isopleth plots of ground-level concentrations,
scatter plots, cumulative frequency distributions and frequency histograms of residuals
General features of the model performance included: (a) spatial offset of predicted
and observed patterns, (b) a time difference between the arrival of the predicted and
observed plumes at a particular receptor, and (c) an angular offset of as much as 20-45
iegrees between predicted and observed plumes. The models also tended to underpredict
horizontal spreading at ground level, along with overprediction of plume concentrations
i\s a result, predicted concentrations correlated poorly with concentrations observed at
the same time and place. However, statistical comparisons of the peak values predicted
jy the models were significantly better. For example, the highest 25 averaged predic-
tions and highest 25 averaged observations (unpaired in location and time) were within
a factor or two of each other for six of the eight models tested (MESOPUFF, MESOPLUME,
MESOPUFF II, MTDDIS, ARRPA, and RTM-II).
7.
KEY WORDS AND DOCUMENT ANALYSIS
DESCRIPTORS
b.IDENTIFIERS/OPEN ENDED TERMS
c. COSATl Field/Group
Air Pollution
Long Range Transport Models
Meteorology
Model Evaluation
Statistics
18. DISTRIBUTION STATEMENT
Release unlimited
19. SECURITY CLASS (This Report)
Unclassified
21. NO. OF PAGES
291
20. SECURITY CLASS (Tills page)
Unclassified
22. PRICE
EPA Form 2220-1 (Rev. 4-77) PREVIOI^ EDITION is OBSOLETE
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