SALINITY, RUNOFF AND WIND MEASUREMENTS
YAQUINA ESTUARY, OREGON
tXEAI
fiSSEE?
FEDERAL WATER
POLLUTION CONTROL
ADMINISTRATION
NORTHWEST REGION
PACIFIC NORTHWEST
WATER LABORATORY

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SALINITY, RUNOFF AND WIND MEASURFMENTS
YAQUINA ESTUARY, OREGON
April 1967 - October 1968
by
R. J. Callaway
G. R. Ditsworth
D. L. Cutchin
Working Paper No. 70
United States Department of the Interior
Federal Water Pollution Control Administration, Northwest Region
Pacific Northwest Water Laboratory
200 Southwest Thirty-fifth Street
Corvallis, Oregon 97330

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FEDERAL WATER POLLUTION CONTROL ADMINISTRATION
NORTHWEST REGION, PORTLAND, OREGON
James L. Agee, Regional Director
PACIFIC NORTHWEST WATER LABORATORY
CORVALLIS, OREGON
A. F. Bartsch, Director
NATIONAL THERMAL
POLLUTION RESEARCH
Frank H. Rainwater
•
NATIONAL COASTAL
POLLUTION RESEARCH
D. J. Baumgartner
BIOLOGICAL EFFECTS
Gerald R. Bouck
MANPOWER AND TRAINING
Lyman J. Nielson
NATIONAL EUTROPHICATION
RESEARCH
A. F. Bartsch
WASTE TREATMENT RESEARCH
AND TECHNOLOGY: Pulp &
Paper; Food Processing;
Wood Products & Logging;
Special Studies
James R. Boydston
CONSOLIDATED LABORATORY
SERVICES
Daniel F. Krawczyk
NATIONAL COASTAL POLLUTION
RESEARCH PROGRAM
D. J. Baumgartner, Chief
R. J. Callaway
M. H. Feldman
B. D. Clark
G. R. Ditsworth
W. A. DeBen
L. C. Bentsen
D. S. Trent
D. L. Cutchin
E. M. Gruchalla

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DEPARTMENT OF THE INTERIOR
In its assigned function as the Nation's
principal natural resource agency, the
Department of the Interior bears a special
obligation to assure that our expendable
resources are conserved, that renewable
resources are managed to produce optimum
yields, and that all resources contribute
their full measure to the progress, pros-
perity, and security of America, now and

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A Working Paper presents results of
Investigations which are to some extent
limited or incomplete. Therefore,
conclusions or recommendations—expressed

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CONTENTS
Chapter	Page
I. INTRODUCTION 		1
II. FIELD DATA COLLECTION 		3
Salinity Measurements 		3
Locations and Depths of Data Collection ....	3
Instrumentation 		7
Flow Chart of Data Acquisition and Reduction . .	10
Calibration	10
Maintenance and Service 		10
Problems Associated with Instrument Operation. .	12
Length of Record	12
Stream Flow Measurements 		12
Station Location, Instrumentation, and
Techniques	14
Wind Measurements	14
III. DATA QUALITY AND THE NOVEMBER 1969 STATE OF THE
DATA RECORDS	22
Condition of the Data - November 1969 		22
Description of Data Block Available for Use Through
OS-3 System	25

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LIST OF TABLES
Table	Page
1.	Inserted Dummy Values 		27
2.	Frolander, Bergeron, McCormick, Crandal Salinity

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LIST OF FIGURES
Figure	Page
1.	FWPCA Stations - Estuary Diffusion Project,
.Yaquina Estuary 		4
2.	Cross-sections of Estuary at Conductivity Monitoring
Sites - Yaquina Bay, Oregon	5
3.	Typical Installation for Monitoring Surface and Bottom
Salinity	6
4.	Conductivity Recorder (Salinometer) 		8
5.	Chart Showing Typical Conductivity Trace 		9
6.	Salinity and Wind Data Processing	11
7.	Data Extent and Present Condition	13
8.	Example of Stream Flow Record	15
9.	Stage Height in Feet Vs. Streamflow C.F.S. - Yaquina
River and Elk Creek	16
10.	Geodyne Wind Recorder	17
11.	Polar Histogram of Wind Source Direction - August 21,
1968 - September 30, 1968 		19
12.	Example of Wind Record from Climet Recorder Record
From October 2, 1967		20
13.	Printout of Half-hourly Wind Speed and Direction
Values from Climet Record for October 2, 1967 ....	21

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INTRODUCTION
The National Coastal Pollution Research Program (NCPRP) of
the FWPCA has as one of its functions in-house and extramural
development of mathematical models of estuaries. The purpose of
such models is in the management and prediction of water quality
in estuaries.
If a given model is properly verified and used with an eye
to its limitations, it can be an indispensable tool. If it is
not properly verified, it is an ornament; if it is used incautiously,
it can create more problems and waste more time than no model
at all.
Verification data is difficult to obtain in most cases and
more difficult for some (e.g., bacteria distribution) than others
(e.g., temperature). Salinity, as conductivity, is one of the
easier properties to measure continuously and reliably and is of
prime importance in determining the density structure of a water
body.
The data collection program discussed in this report was
intended for two purposes: 1) to provide data for verification
of a solution of the advection-diffusion equation, and 2) to
provide long, continuous records on which to test certain
hypotheses related to time-series analysis.
During the course of the field collection and since then

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2
what was collected, where and when. This report is an informal
summary of data processing techniques and lists the data available
and its present condition.
As time permits, we will use the data ourselves to verify a
model of the Yaquina River Estuary. In the meantime, we hope
this report will indicate to those interested what is available;

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1
4.
Ui
8
0
£
1
CRte*
Legend

Station
River Mile*
(Nautical)
O Conductivity Meter Location
(1)
OSU Dock
% l .5
-*«Wind Recorder Location
(2)
Sawyer's Dock
'v 3.5
0 Tide Gauge Location
(3)
Fowler's Dock
% 7.0
0 Stream Gauge Location
(4)
Criteser's Dock
~ 9.5

(5)
Burpee
M4.0

(6)
Charlie's Dock
(Fritz)
M6.0

(7)
Elk City
M9.5
* River Mile 0.00 is the seaward
end of the south jetty.

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FIELD DATA COLLECTION
Salinity Measurements
Conductivity data from which salinity values were computed
were collected at 10 locations in Yaquina Bay and estuary during
the period April 1967 - October 1968.
Locations and Depths of Data Collection
Data collection sites are shown in Figure 1 and are identified
as OSU Surface, OSU Bottom, Sawyer, Fowler, Criteser Surface,
Criteser Bottom, Burpee Surface, Burpee Bottom, Fritz* and Elk
City. Each site is a private or public floating dock located
nearshore and easily serviced by land routes (automobile).
Data were collected at the water surface (about 1.5 feet
beneath the surface) at OSU Surface, Sawyer, Fowler, Criteser
Surface, Burpee Surface, Fritz and Elk City. Bottom data (about
1.5 feet off the bottom) were collected at OSU Bottom, Criteser
Bottom and Burpee Bottom at depths of about 16 feet, 7 feet and
7 feet, respectively, below Mean Lower Low Water (Figure 2).
Conductivity probes were attached to floating docks to obtain
surface data and to pilings to obtain bottom data (Figure 3).
*We have, unfortunately, also called this Charlie, thus Fritz and

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7
Instrumentation
Conductivity data were collected with battery-powered
Beckman** model RQ1-7CH2C-R9K recording conductivity meters
(Figure 4). The system consists of a recording unit, power source,
and associated electronics enclosed in a weather-resistant metal
housing and a 100 foot long electrical cable with attached
conductivity probe. An analog record of the conductivity is
recorded by an ink pen on a polar chart (Figure 5), which is
driven by a mechanically wound clockworks. The clockworks are
geared such that the chart makes one revolution per week.
The instrument works on the principle that saltwater conducts
electricity at a rate proportional to the salt content and tempera-
ture of the water. Alternating current, converted from battery-
direct current by an oscillator, and transmitted to an exposed
terminal in the water, passes through the water and is received
by a second exposed terminal. This current is transmitted back
to the recording unit. The ambient water temperature (which is
not recorded) is measured by a thermistor and transmitted to the
recording unit. A temperature compensator in the recording unit
electronically cancels effects of temperature and causes the
conductivity to be recorded at a constant reference temperature
(25°C).
**Use of product and company names is for identification only and
does not constitute endorsement by the U. S. Department of the

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Front view of salinometer: shows chart,
inking pen and cable with probe;foot long
rule on top gives scale.
Rear view: door removed; shows power source,
rear electronic panel and cable with probe.

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•O.C*'
day

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Flow Chart of Data Acquisition and Reduction
Steps involved in collecting salinity and wind data and
reducing it are shown in the flow diagram (Figure 6).
Calibration
Instruments in service were calibrated weekly beginning in
December 1967. Prior to that time, they were calibrated once a
month. Tertiary saltwater standards (seawater dilutions) of
approximately 6, 12, 18, 24, and 30 parts per thousand (PPT),
respectively, were used for calibration. The conductivity probe
of each instrument was immersed in each solution and the corres-
ponding chart reading was recorded. The data were used to derive
coefficients by which salinity data were calculated from the
conductivity chart records. The tertiary standards were tested
weekly against secondary standards to insure their reliability.
Maintenance and Service
Servicing of meters was done at least once a week and
consisted of changing charts, cleaning the conductivity probes
of mud and marine growth, checking pen operation and ink supply,
checking, adjusting, if necessary, and winding clockworks, and
checking batteries for proper voltage. Batteries were replaced
as required.
Batteries maintained a serviceable voltage (9.5 volts minimum)

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(error)
EDIT
Instrument Calibration
Salinity Standards Check
Weekly Servicing
Log in Analog Records
Output to tape and printer
Instrument Calibration and
Maintenance
Send to Computer Center.
Output to disk for statis-
tical and other analyses
Input coefficients: com-
pute 1/2 hour salinities
and/or winds.
Compute coefficients
Conductivity to salinity
(S = A*C+B*C2)
FIGURE 6.
Salinity and Wind
Data

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12
for the minimum period during cold weather. Battery life was
more dependent on air temperature than the current draw due to
large salinity fluctuations.
Problems Associated with Instrument Operation
Occasionally, an instrument would stop functioning for a
period of hours or days. This seemed to occur most frequently
during periods of cold weather.
Conductivity probes failed on occasion for no known reason.
In such cases, generally, another cable was installed and the
instrument operated satisfactorily.
Length of Record
The length of record at each station is shown in Figure 7.
Stream Flow Measurements
Streamflow data of the Yaquina River and Elk Creek, the two
major tributaries to the Yaquina Estuary, were collected from
April 1967 to November 1968 by the Pacific Northwest Water
Laboratory. Together, these two streams drain about 68 percent
of the Yaquina Bay watershed. Flow data for Mill Creek, a smaller
tributary to the estuary, were obtained from the Geological Survey.
Mr. Alden Christianson supervised the installation of the gauges

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DATA CONDITION SCALE (See page 21 for discussion)
I l Best
I i Good
	 Primitive
W1KO, NORTH JETTY
TIDES, OSU DOCK
SALINITY, OSU DOCK TOP 1
•	• • 2
•	¦ BOTTOM
SALINITY, SAWYER
FOWLER
CRITESCR TOP
CSITESER BOTTOM
STREAMFLOW. MILL CREEK
31 C
SALINITY, BURPEE TOP
BOTTOM
FRITZ
ELK CITY
STREAMFLOM. YAQUINA RIVER
ELK CREEK
' Apr 07 Kay 67 "jun 67 * Jul 67 Aug 67' Sep 67Oct 67 Nov 67 Dec 67 Jin 68 feb 68 Mar 68 Apr 66 Kay 66 Jun 68 Jul 68 Aug 68 ' Sep 66 Oct 6B ' Nov 66

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14
Station Location, Instrumentation, and Techniques
Temporary gauging stations were installed immediately above
the tidally-influenced reaches of each of the two major tributaries
(Figure 1).
Water levels were continuously recorded in analog form (See
Figure 8) with Leupold and Stevens Type F, Model 61, water level
recorders. The water level, indicated on a visually-read staff
gauge, installed at each site, was recorded on the analog record
each time the instrument was serviced (weekly).
Using these data and data from periodic discharge measurements,
the continuous flows in each stream were calculated. Stream flows
versus stage for the Yaquina River and Elk Creek are shown in
Figure 9. These streamflow data have been digitized and are on
file as are the Geological Survey flow data from Mill Creek.
Wind Measurements
Wind speed and direction data were collected near the mouth
of Yaquina Bay during the period June 1967 to January 1969.
From June 1967 to December 1967, data were collected from
the north jetty (Figure 1) with a Climet Model 26 wind recording
system. From April 1968 to October 1968, data were collected
from the south jetty (Figure 1) with a Geodyne Wind Recorder
(Figure 10). From July 1968 to January 1969, data were collected

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0.0
ELK CREEK ®
Q = -27.34791 - 28.32396H + 69.41383H2 + 0.000854127H
(H>0.9)
o
CO
STAGE HEIGHT, H, (FEET)
VS.
FLOW, Q, (CFS)
.0
YAQUINA RIVER 0
Q = -1.638249 + 65.93246H + 28.17497H2 - 0.0007828061H
FLOW, Q,(CFS)
0.1
10Q
1000
5000

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18
The Geodyne system digitally recorded wind speed and
direction in binary code on photographic film at half-hour
intervals. The data records were reduced by the Geodyne Corpora-
tion and converted to digital printouts, histograms and analog
records. Figure 11 shows a polar histogram of wind directions
recorded during the period August 21 to September 30, 1968.
The Climet system continuously recorded wind speed and
direction in analog form. An example, given in Figure 12, is
from the October 2, 1967 record. Note the intense gusty period
with a maximum gust of more than 100 knots. Data from these records
have been digitized and integrated over half-hour intervals and
daily averages computed. Figure 13 shows the printout for

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I
Direction True Azimuth
4S.0
115 0
SO 0
39 0
8.1 occurrences
FIGURE 11. Polar Histogram of Wind Source Direction

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FIGURE 12. Example of Wind Record from Climet Recorder
Record from October 2, 1967.
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COMPUTER PRINTOUT - WIND DATA 10/02/67
	(Retyped from actual computer print-nut.)	
SPEED DIRECTION	SPEED DIRECTION
HOUR (KNOTS) (°TRUE)	HOUR (KNOTS) (°TRUE)
0
12
151
12.0
30
93
.5
12
137
12.5
28
100
1.0
10
122
13.0
29
102
1.5
9
123
13.5
26
95
2.0
9
122
14.0
24
96
2.5
11
136
14.5
24
110
3.0
12
145
15.0
20
143
3.5
13
146
15.5
20
129
4.0
13
141
16.0
21
124
4.5
13
130
16.5
28
131
5.0
13
118
17.0
35
140
5.5
12
105
17.5
46
156
6.0
13
101
18.0
65
181
6.5
15
98
18.5
72
204
7.0
18
92
19.0
60
222
7.5
18
95
19.5
47
237
8.0
17
93
20.0
37
254
8.5
16
96
20.5
31
262
9.0
14
100
21.0
29
259
9.5
16
99
21.5
29
248
10.0
19
92
22.0
29
241
10.5
21
97
22.5
26
240
11.0
25
93
23.0
36
243
11.5
28
93
23.5
34
245



AVERAGE
25
145
FIGURE 13. Printout of Half-hourly Wind Speed and Direction Values

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DATA QUALITY AND THE NOVEMBER 1969
STATE OF THE DATA RECORDS
To recapitulate, the salinity, streamflow, and some wind
data were recorded in analog form on paper charts. These charts,
up to about August 1, 1968, were digitized at half-hour intervals
and stored on tape at the Oregon State University Computer Center.
R. Jay Murray of the Computer Center handled the digitizing and
storing operations and did many other magical and wondrous computer
things in the way of data processing. Without his services and
those of the Computer Center, we would not have been able to
undertake this project.
Condition of the Data - November 1969
Figure 7 outlines the approximate extent of the data in "best"
condition (triple line); data in "moderately good" condition
(double line); and data in a "primitive" condition (single line).
These classifications are meant to indicate the relative amount
of data reduction that would be necessary to bring the records to
an easily usable state. For example, there were many instrument
failures and subsequent data gaps. The "best" data were inter-
polated by eye where short gaps appeared. Where interpolation
was not practical due to the length of the gap or the complexity
of the record, dummy data flags (See Table 1) were inserted to
indicate a record gap. In automatic processing, these stretches

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"moderately good" data have not been interpolated or patched
with dummy data and have not been checked thorouqhly. These data
suffer only from a lack of attention. The "primitive" data
suffer, in addition, from calibration difficulties.
Figure 14 shows daily averages at some selected stations
over the time span indicated. Straight daily averages filter out
much of the tides and higher frequency oscillations. Several of
the plots show vertical bars which indicate the salinity extremes
at that station over the day indicated. The extremes over a day
are, of course, a function of tidal range, runoff conditions, wind,
seiches, and local rainfall. The difference between extremes or
the length of the bar may, therefore, change considerably over
a few days. The high and low extremes in general do not extend
equal amounts from the mean value. The length of the bars just
give a rough indication of how much the curves were smoothed by
the taking of daily averages.
Since the tides and higher frequencies have been filtered
out, the curves in Figure 14 might reasonably be said to retain
intermediate period (several days to weeks) variance plus long
period (months to year) variance. The Yaquina River streamflow
seems to be a fairly smooth function of time. The salinity records
show, however, a considerable amount of roughness in the intermediate
range. This may be due to some residual tidal energy sneaking
through the daily average filter, to wind stirring of stratified

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OSU DOCK
TOP II
CRITESER
BOTTOM
FRITZ
TOP
CRITESER
TOP
BURPEE
BOTTOM
Dec 67

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25
October of 1967 was the end of an extremely dry summer. The
salinity reached 14 PPT at Charlie's Dock (River Mile 16-0). Soon
after the beginning of the fall rains, the salinity at Charlie's
Dock and Elk City dropped to zero. During the winter, the salinity
fluctuated greatly with each major storm. After the beginning of
the dry season in early April of 1968, the salinity began to
increase slowly at all locations. The general trend of the
salinity during this period is a striking feature in spite of the
fact that the summer of 1968 was anomalously wet. When the data
are completely reduced, it will be interesting to compare this
with the dry summer of 1967.
Note that during the summer of 1968, salinity variations at
intermediate frequencies seem to be relatively coherent between
the stations, i.e., peaks and troughs in the salinity records seem
to show up at the same times. This suggests that these variations
may be caused by the tides.
The traces in Figure 14 begin and end at various times and
some show gaps. Some of the gaps are interpolated with a straight
dotted line. This dotted line is included as an aid to keeping
track of the traces. The extent of the excursions makes it a bit
difficult to follow the salinity traces.
Description of Data Block Available
For Use Through OS-3 System
A block of data from 000 on April 13, 1968, until 2330 hours

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26
OSU Computer Center. The block consists of half hourly values
of observed tide, streamflows, and surface salinities. The data
are arranged according to the following format (T4,9F6.1}:
14 - Arbitrary index number, recycling at 12. Starts at
1 on OQOQ hours on April 13, 1968. Is 12 on 0530
hours and 1 again at 0600 hours on the same date.
Helps in scanning printouts by isolating 6 hour
blocks.
F6.1 - Observed tide at OSU dock in feet above a reference point
29 feet below MLLW. Tides are actually measured to
hundredths of a foot, but this number has been rounded.
F6.1 - Salinity in PPT measured about 6 inches beneath the surface
at the OSU dock (Station "OSU Surface II").
F6.1 - Salinity at "Sawyer's Dock" surface.
F6.1 - Salinity at "Criteser's Dock" surface.
F6.1 - Salinity at "Burpee" surface.
F6.1 - Streamflow of Yaquina River in cubic feet/second.
F6.1 - Streamflow of Elk Creek.
F6.1 - Streamflow of Mill Creek.
F6.1 - Sum of Elk Creek and Yaquina River. These two water
sources enter the estuary system and mix at a point
above any of the salinity sensors. For simplicity, they
may be considered as one input. For convenience, the sum

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27
The file contains 94 days of data. At 48 half-hourly points
per day, that is a total of 4,512 points for each individual series,
or about 41,000 total.
Over certain short time periods, missing data were supplied by
eyeball interpolation. Over some larger stretches of highly variable
data where eyeball interpolation was not practical, dummy flats, e.g.
40 PPT for salinity, were inserted as has been mentioned before.
TABLE I
INSERTED DUMMY VALUES
Dummy



Data
Station
From, To, Times Inclusive
40.0 PPT
Sawyer Salinity
0000 hrs on April
13 to & including


0930 on April 19
40.0 PPT
Criteser Sal.
0630 on June 11
1000 June 12
40.0 PPT
Sawyer Sal.
0000 on June 12
0930 June 14
40.0 PPT
Criteser Sal.
1800 on June 16
1700 June 17
00.0 CFS
Mill Cr. Streamflow
0000 on July 1
2330 on July 15
Figure 15* is a plot of the salinity, streamflow, and tide data
over a short section of the data. This section was selected because
at the left it shows several days characteristics of a long dry spell;
in the center it shows the system response to a large freshwater
influx; and on the right it shows the recovery of the system. Due to
* Figure 15. Half-Hourly Values of Tide, Salinity, and Streamflow,
May 17 Until June 19, 1968. (Due to reproduction expense and

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28
drafting and reproduction difficulties, the plot is not extremely
exact and should only be used for rough quantitative estimates.
It is precise enough, however, to see the progress of the tidal
wave up the estuary; i.e., the salinity maximums are shifted to
later times as they are recorded at stations progressively further
up the estuary. There are some breaks in the plot where data
were not available. The OSU dock salinity and the Sawyer's dock
salinity occasionally cross and reverse. The light trace is the
OSU dock value. At the points where the OSU trace crossed the
Sawyer trace, the Sawyer trace was omitted. Around June 10-12,
some bumps are to be seen on the Yaquina plus Elk Creek streamflow
trace. These were caused by the interference of extremely high
tides with the stream gauge on the Yaquina River. Amplitude of
these tides was at most six inches at the gauging stations.
Dr. H. Frolander of the OSU Department of Oceanography has
maintained a midstream top and bottom salinity sampling program
in Yaquina Bay for several years. Water samples are obtained and
taken to shore for analysis by a laboratory salinometer. Some pre-
liminary unpublished results of this program are listed in Table II.
Times listed indicate the beginning of the cast. A cast takes
about 12 minutes. These data were supplied us by Mr. D. J. Bergeron.
Table II gives some indication of the degree of stratification
at various times. Note that the estuary is relatively unstratified

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TABLE II
FROLANDER, BERGERON, McCORMICK, CRANDAL SALINITY DATA (PARTIAL)
Buoy Number
15
21
29
39
Approximate








River Mile

3.5

5.5

8

10

Time
Salinity PPT
Time
Salinity PPT
Time
Salinitv PPT
Time
Salinitv PPT
Date
(PST)
Top Bottom
(PST)
Top Bottom
(PST)
Tod Bottom
(PST)
Tod Bottom
20 April 1968
1301
18.57 25.73
1223
15.87 23.01
1045
11.24 21.69
1000
6.75 19.75
1 May 1968
1232
27.10 29.23
1146
20.78 26.68
1045
11.18 15.91
1010
4.60 6.61
11 May 1968
1207
33.31 33.31
1132
31.63 32.86
1043
23.88 26.60
1005
15.68 17.43
23 May 1968
852
30.08 30.96
948
28.59 29.61
1045
24.22 25.93
—
--
29 May 1968
1047
19.76 25.95
1148
20.79 24.10
1300
16.37 19.93
1340
13.89 14.53
12 June 1968
1443
29.85 31.90
1340
29.08 30.98
1250
16.85 19.64
—
--
21 June 1968
927
? ?
1045
? ?
1231
19.60 24.65
1311
15.00 18.16
28 June 1968
1541
32.83 33.09
1400
29.18 30.87
1237
21.99 23.09
11 51
13.80 14.95
11 July 1968
1300
33.35 33.38
1215
31.75 32.30
1130
24.03 24.37
1050

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caused a considerable amount of stratification. This stratifi-
cation was dissipated by late June.
To the degree that the data in Table II can be compared with
the time series data recorded on the shore, agreement is good. A
characteristic figure for this agreement is about ±2 PPT. In the
range 20-35 PPT salinity, it is difficult to read the pen traces
on the analog chart records to much better than ±1 PPT. The
remaining differences might be explained by cross-stream and long-
stream gradients in tne salinity.
Table III* is a partial list of unpublished salinity data
collected by W. D. Clothier, G. R. Ditsworth, and W. A. DeBen of
the PNWL in connection with a 1967-19C8 nekton sampling program.
The format of the table is similar to that of Table II. Salini-
ties, however, were sampled at intervals of 1 meter from 1 meter
beneath the surface to the bottom. The samples were taken generally
during the period of the flood following the lowest low water asso-
ciated with the spring tide. The stations were located to the side
of the main channel at the river miles indicated. The Clothier
study also included temperature, D.O., and Secchi disk measure-
ments. The nekton samples were classified, counted, measured, and
weighed; the data are on punch cards at the Pacific Northwest
Water Laboratory. The salinity and temperatures were taken with
a Beckman Instruments RS-5 portable inductive salinometer.
* Table III. Clothier, Ditsworth, DeBen: Salinity Data (Partial).
(Due to reproduction expense this table will be available upon

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31
Absolute accuracy greater than ±2 PPT salinity should not be
of much importance to most researchers. The time stability of the
calibration should be significantly more important. Weekly cali-
brations show a week-to-week variation of about 1 PPT salinity
and a gradual drift of 1 or 2 PPT salinity over the three-month
period. These weekly calibrations were used in the production of
the final data file. The apparent change in the calibrations may
be partly due to air-temperature variation on the different calibra-
tion days.
The time constant of the salinity recorder was less than a
minute. The analog trace, in visual examination, did not show
evidence of any significant variations with periods of less than
one half hour. The salinity records are, therefore, uncontaminated
by aliasing. The tides and streamflows were even more slowly vary-
ing.
In Figure 14, notice how in April of 1968 the rains stop, the
streamflows taper off, and, most dramatically, the salinity begins
to increase along a fairly steady trend. As mentioned before, the
summer of 1968 was an anomalously wet summer. Most summers in this
region are characterized by an almost total absence of rain. In
view of this and other meteorological factors observed over several
years, it seems reasonable to assume that the year is divided into
two sharply-defined seasons: the wet season lasting from about
October through April or May, and the dry season lasting the
remainder of the year.
llb'rsvy
PsctRr Northvj^U Wniy LntwrstrW
'(V) S i.'l ! M S'fCt

-------
32
Since the data block on file starts in mid-April and continues
through mid-July, it would almost entirely lie in the dry season.
This says that the stochastic processes which generated this data
block have a fighting chance of being stationary. If the time
period of the record had spanned one of the common transition
times, then the generating process could not have been assumed
stationary. A process is "stationary" over a time period if the
moments of the distribution of the data formed over the ensemble
of all possible estuary performances at time t during that time
period are constant, as t varies from the beginning of the time
period to the end.
The data are largely non-random due to the presence of the
tides. The phase of the tidal constituents is very stable over
long periods. One of the most discouraging aspects of the problem
is that the system seems to be highly non-linear. Notice how the
excursion of salinity due to the tides is smashed down as the
salinity nears the fresh water and ocean water limits; i.e., the
estuary water cannot get any fresher than fresh water, nor any
saltier than ocean water. The salinity values at a point are
primarily due to large-scale convection and diffusion. The effects
of convection and diffusion are modified by the change of the
length-to-width ratio of a water parcel as it is shuffled up and
down an estuary of irregular shape. It is interesting to note

-------
33
fluctuations at twice the tidal frequencies, because of the
increase in turbulence during the flood and ebb tide. Salinity
values are also probably affected by the minor changes in open

-------

-------
EXAMPLE OF USE OF "BAY" FILE
"*DhTREND" is a computer subroutine designed to detrend a
time series either by (1) removing the mean, or (2) removing the
linear trend. This subroutine is part of the ARAND system of time
series analysis programs written by Lyle Ochs and Jeff Ballance of
the Oregon State University Computer Center. Documentation is
available from the center.
"*CDETREN" is the calling program for *DETREND. It is quite
a versatile routine and should serve most parties without modifi-
cation. (1) The input and output logical units (LUNS) are
specified by the user. (2) The user may skip a number of records,
call down the subroutine on a specified number of records, and skip
the remaining records on the input data file. (3) The user may
specify input and output formats. The output format must be speci-
fied for two numbers, the integer sequence number, and the floating
point detrended data number.
The "dummy data" feature is included as an aid in passing
over the placeholder dummy data inserted in various places in BAY.
The user informs the program of the dummy data value. When dummy
data is read the program stops reading data and acts on the real
data already read.
The sample run included here demonstrates several of the
aspects mentioned above. Characters typed in by the operator are
underlined. The spacing between lines was artificially expanded

-------
The data on "BAY" is arranged in columns. The first column
contains sequence numbers which repeat in cycles of 12. The
second column, the first data column, contains tidal information.
In the example run the operator has given instructions to skip
completely the first 5 records on BAY and then to read the next 25
records according to the format (4x,F6.1). This will input tidal
data points 6 through 30. The operator then has instructed the
subroutine to find the mean of these 25 points and to compute a
data series with the mean subtracted. The mean is listed by the
computer on the operator's teletype and the mean detrended data
series is outed to a file.
Note at this point that the computer came back with a "LUN 40
UNDEFINED". The subroutine *DETREND writes out, as do all the ARAND
subroutines, certain messages and parameters on LUN 40. The par-
ticular messages and parameters output by *DETREND are to be found
on the last page of the sample run. Many operators choose to set
40=NULL and therefore dump all the "helpful messages and parameters.
After the subroutine acts on the data and the main program
writes the output, the operator can specify a switching code.
SWITCHING CODE:
=0: No more data for processing; program goes to end.
=1: More data for processing; program essentially begins again
=10: Next data on LUNIN is dummy data; program "thumbs" through
it until it finds some real data. It backspaces LUNIN and asks for

-------
36
Note that the switching code allows the user to skip records,
process records, go back to the beginning of the program, and use
the skip feature again, and process more records, etc.
In the sample run the operator has set the switching code = 1.
The program then asks for input and output formats and logical
units. The subsequent instructions given by the operator have
caused the computer to read and act upon the first 27 values of
salinity at "OSU surface." Uote that in this second cycle the
operator has asked for linear detrending.
The next page shows a short listing of the first part of BAY.
The operations carried out in the sample run considered data only
from the first part. The detrended output data are listed on the
next page. The helpful messages stored on LUN 40 are shown on the

-------
TIME
TIKE 0.046 SECONDS MFBLKS 0 CFBLKS 0
#EQ U IP* 1 =BAY
s'EQU IP, 2=F ILE
»EQUIP,3=FILE
^FORTRAN,I=*CDETREN,X=50
NO ERRORS FOR CDETREN
#FORTRAN, I =*DETREND,X=51
NO ERRORS .FOR DETREND
*L0AD,50, 51
RUN
RUN
INPUT FORMAT
( 4 X, F6 » 1 ) @ (T?)
^Space over one, then type in format, including right and left parentheses.
(4X,F6. 1 )
OK? 1
"1" means "Yes, format is OK"
OUTPUT FORMAT
( 14,F6.1 )
Note output format specified for two numbers, sequence number plus
floating point detrended data number.
(14,F6.l)
ok? ¦ l
s Reads data off of LUN 1.
INPUT LUN = _1_
OUTPUT LUN =2_
KPuts sequence numbers plus detrended data numbers on LUN 2.
NUMBER OF RECORDS TOSKIPOVER = _5_ •+- Skips over 5 data points before
mean OR linear detrending? _i_	considering any set of data
y/*	points.
Indicates to subroutine *DETREND that you wish

-------
38
~ If you are using dummy data as a "placeholder" enter
dummy data value jo.'value here; if not, enter value above any possible data
NUMBER OF POINTS TO ACT ON =25	value.
After skipping over the number of points specified above (5 pts.) the program
applies *DETREND to this number of points (25 pts.) following.
DETREND ENTERED WITH.. LENGTH OF SERIES = 25
REMOVED	1 (l)MEAN, (2)LINEAR TREND
LUN 40 undefined ARAND subroutines are now set up to write "helpful"
#equ ip,40=3	messages on LUN 40.
#G0
mean = 3«l 7560000E 01	Subroutine gives mean.
SWITCHING CODE =1
By typing "1" operator indicates that more data is to be
processed.
INPUT FORMAT
(l ox>F6. l)	Input format for
(lox*F6• l)	from BAY.
OK? l
new data, i.e. reading second column
OUTPUT FORMAT
(I4>F6«1 )
(14,F6.1 )
OK? 1
INPUT LUN = CBKE/IK)
Broke here to rewind data file and to equip
rfutmd,i	a new output file.
IEQU IP, 4 = F ILE
#G0
1 «*.
Operator indicates that program should again read off LUN 1
OUTPUT LUN =4

-------
39
on ki	DZ-TktM i
DUMMY DATA VALUE .50.
NUMBER OF POINTS TO ACT CN =27
DETREND ENTERED WITH.. LENGTH OF SERIES = 27
REMOVED	2 C1)MEAN* <2)LINEAR TREND
MEAN = 2 • 91666667E 01
A COEFFICIENT = -8.06471306E-02* B COEFFICIENT= 3.02957265E 01
SWITCHING CODE =0	A .
Subroutine *DETREND gives
mean plus linear coefficients.
Code set = "0" ends routine.

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40
REWIND* 1
12.> 3 * 4


//COPY* 1 = 1



1
37.3

33.4
40.0 13.2
2
37.1

32.3
40.0 13.3
Skipped 3
36.5

30.7
40.0 13.2
over this4 -»
35. 7

29.9
40.0 12.0
group. 5
34. 8

30.9
40.0 9-9
6
33.6

31 .3
40.0 7.8
7
32.5

32.1
40.0 6.1
6
31 .4

31 .P
40.0 4.8
9
30.2

31 .5
40.0 4.3
10
29.0

30.7
40.0 3.4
11
28. 1

29.0
40.0 2.5
12
27.5

26.7
40.0 2.2
1
27.2

25.3
40.0 2.2
2
27.1

24.8
40.0 2.1
3
27.5

24.9
40.0 1.9
4
28.1

24. e
40.0 1.8
5
28.9

25.0
40.0 1.4
6
29.8

24.7
40.0 1.4
7
30. 8

26.0
40.0 1.7
8
31.8

26.3
40.0 2.1
9
32.8

27.6
40.0 3.6
10
33. 8

29.2
40.0 4.5
11
34.6

30.2
40.0 5.6
12
35.4

30.7
40.0 8.6
1
35.9

31 .4
40.0 10.6
2
36.2

32.6
40.0 12.3
3
36.2

33.7
40.0 12.7
4
35. 8
34.6
1 40.0 11.8
5
35.2
32.2
| 40.0 10.7
6
nA.s
30.0
\ 40.0 8.7
7 1
<33. 6
29.6
I 40.0 7.2
s /
32.7
30.3
1 40 » §
INPUT DATA FILE
>0
> 1
. 1
.7
.4
>2
0
0
0
n
o
0
0
0
0
•	1
.2
.4
-5
-6
.7
•	8
-8
•	7
190-
1 90.
1 90.
1 89.
1 89.
1 89.
1 88.
1 88.
1 88.
1 88.
1 88.
1 87.
1 87.
1 87-
1 86.
1 86.
1 86.
185.
1 85.
185.
1 84.
1 84.
1 84.
1 83.
1 83.
183.
182.
1 82.
182.
1 81 .
181 .
. 7
. 7
.7
> 6
244.0
242.9
241 .
241 .
241 .
240.
239.4
238-9
238.3
237.7
237.2
236.6
236.0
236.0
236.0
235.5
234.9
234.
234.
234.
233.8
233.8
233-8
233.2
232.6
232.6
232.6
232. 1
231 .5
230.9
230.4
.9
>9
-3
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
13.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
434.0
432. 9
431 . 7
431 .3
431.0
429.6
428.0
427.2
426.3
425.7
425.2
424.2
423.3
423.0
422. 6
421 . 8
420. 9
420. 5
420.2
419.3
418.4
418. 1
417.8
416. 9
415.9
415
415
414
413
412
41 1
6
3
4
¦ 5
6
7
Mean detrending
on this set
of 25 pts.
Left these data untouched.
Linear detrending

-------
COPY/1 =2
1
1.8
2
.7
3
-0-4
4
-1.6
5
-2.8
6
-3.7
7
-4.3
8
-4.6
9
-4.7
10
-4.3
11
-3.7
12
-2.9
13
-2.0
14
-1 .0
15
.0
16
1 .0
17
2.0
18
2.8
19
3 • 6
20
4.1
21
4*4
22
4.4
23
4.0
24
3.4
25
2.7
#C0PY,I=4
1
3.2
2
2.2
3
. 6
4
-0.1
5
1.0
6
1 .5
7
2.4
8
2.1
9
1 .9
10
1 .2
11
-0.4
12
-2.6
13
-3-9
14
-4.4
15
-4.2
16
-4.2
17
-3.9
18
-4.1
19
-2.8
20
-2.4
21
-1 .0
22
.7
23
1.8
24
2.3
25
3.1
26
4*4
27
5-6
41
OUTPUT DATA FILES
Residual data from first data column
on BAY, pts. 6 through 30, after
removal of mean.
Residual data from second data column
on BAY, pts. 1 through 27, after

-------
0CCPY>I=3
ODETREND ENTERED WITH-. LENGTH OF SERIES = 25
REMOVED	1 (1 )MEAN> (2JLINEAR TREND
ODETREND ENTERED WITH.. LENGTH OF SERIES = 27
REMOVED	2 (15MEAN* <2)LINEAR TREND
c
# vAbove messages are output by *DETREND on LUN 40, here equipped to LUN 3,
for special purposes. Operator usually sets 40 = NULL.
LOG OFF

-------