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SHELL CHEMICAL COMPANY
A DIVISION OF SHELL OIL COMPANY
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DEER PARK PARTICULATE STUDY An Analysis of City of Houston Sampling Site Data
1973-1975
BY: Joseph E. Lees Engineer - Environmental Conservation
Regulatory Affairs Shell Chemical Company Deer Park Manufacturing Complex
Deer Park Manufacturing Complex April, 1976
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TABLE OF CONTENTS
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TABLE OF CONTENTS
DEER PARK PARTICULATE STUDY
A. INTRODUCTION 1. Objective
_ _- 2. Method 3. Summary of Results 4. Conclusion
B. DESCRIPTION OF DATA 1. Sampling Stations 2. Trend Analysis 3. Method
C. OUTLIER REJECTION 1. Method 2. Significant Source
D. EVALATION OF WIND DIRECTION DATA 1. Description by Wind Direction
E. SHELL'S DPMC EFFECTS 1. Shell Down wind 2. Upwind - Downwind Levels 3. Computer Modeling and Predictions
F. PEAK VALUES 1. H22 -
2. DPI
G. AREA TRENDS 1. Description 2. Area Industrial Expansion
H. RECOMMENDATIONS
J. CHARTS AND FIGURES Figure 1 - Sampling Sites Table 1 - Site Geometric Mean - Semiannual Figure 2 - Plot of Table 1 Table 2 - Site Geometric Mean - Month Figure 3 - Wind Data Plots a. 1DP b. H22 c. H18 d. H20 e. H21 f. H23 Table 3 - Outliers Rejected
Page
1 I 2 2-3
4 4-5 5-6
6 7
7-8
8 9 8-9
11
11-12
12 12 13
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Figure 4 - Shell Downwind a. Ail Years b. 1973 (Means) c. 1974 (Means) d. 1975 (Means)
Table 4 - Downwind - Upwind Values Table 5 - Peak Values at H22 Table 6 - Peak Values at DP-1 Table 7 - Air Dispersion Modeling Results Table 8 - 13th Street Construction Figures 5 - Mean of All Stations, by Wind Direction `' ~ - a All Years
b. 1973 c. 1974 d. 1975 Table 9 - Area Construction Activity Appendix A - Tables of Arithmetic Particulate Means by Wind Direction Appendix B - Geometric Mean Table Appendix C - Published Table - Spearman Rank Coefficient Appendix D - Rejected Data - Detail Appendix E - Basic Data Appendix F - Computer Programs Appendix G - Frequency Histograms
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SUMMARY
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DEER PARK PARTICULATE STUDY
INTRODUCTION
Objective
This study analyzes ambient particulate levels as measured by City of Houston sampling stations surrounding the Deer Park Complex. The data is first described - the arithmetic and geometric means and standard deviations for different time periods over the last few years. Trends are then noted and tested for statistical significance. Are the particulate values increasing or decreasing? Over what periods? If there are trends, possible mechanisms and underlying causes are suggested for the observed data. Particular attention is paid to Shell's possible contribution to these levels. Finally, recommendations are tendered for further study to clarify causal relationships suggested by this report.
Method
This analysis centers on ambient particulate data from City of Houston remote high-volume samplers taken over the years 1973, 1974, and 1975. This data consists of 24-hour, unattended, composite samples gathered every six days (when available). No descriptive comments or visual observations of the conditions around the sampling site are recorded; thus, obvious external, non-point source mechanisms of high particulate levels such as dust storms, construction activity, etc., are not noted. This, coupled with some highly peaked data and poorly situated sampling stations, leaves the credibility of the actual numerical values in doubt. Nevertheless, if some of the extreme outliers are rejected, and the data correlated with time and direction, some useful results are obtained. These results can only suggest relationships - data at hand cannot prove anything. It can provide some understanding, however.
The trends of the data are found in relation to both the major construction activities in the Deer Park vicinity, and Shell's contribution as a point source. Upwind/downwind measures of particulates and computer dispersion modeling of the Complex quantify the latter. This modeling also provides a predictive tool for the effects of future expansion activities on the ambient particulate levels.
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SUMMARY OF RESULTS
1. A large source of intermittant particulate levels exists Northwest of H-18 and North by Northwest of H-21.
2. The data at the Deer Park station took a step increase in 1974. This is probably .`related to the repairing and extension of the street directly adjacent to the sampling site at'the same time.
3. Deer Park station values in 1975 are decreasing from March, 1975 through the end of the year. Major Construction activity by the Coastal Industrial Water Authority along highway 225 (between H-22 and 1-DP stations) probably had some effect in 1975.
4. The sampling site within the Shell Refinery (H-22) took a step jump increase in 1974 and similiar decrease in the first part of 1975. This coincides with the construction of Sulfur Recovery Unit 5 near this location.
5. During 1975 the H-22 valves have been increasing. This is probably due to the increased construction and earth moving activities of Shell's Major Projects Expansion. This includes construction of a Phenol Plant just southwest of the site, and major land fill site construction north and west of the site.
6. For the average of all stations in our area, the largest particulate values occur with a westerly wind direction (along the Ship Channel from downtown Houston).
7. The average of all station's particulate values have increased most rapidly with an ESE wind over the last three years. Construction in the Bay area has increased dramatically in this area for this time. However, there is insufficient data to suggest a relationship.
8. On the basis of City of Houston data of five surrounding stations, the net downwind particulate ground level concentrations are inconclusive in discerning any Shell Deer Park Manufacturing Complex effects.
9. On the basis of computer modeling of maximum, worst case, net ground level particulate concentrations, Shell's present and proposed activities are well within the applicable TACB regulation limits.
Conclusions-
The relationships above rest on a tenuous data base. They do, however, suggest that local construction activities can increase particulate concentrations. Of course, this makes sense. Dust stirred up by earth moving activities is bound to register on a monitor which only measures total weight of particulates. Construction activity is probably a good reason for the increased particulate levels at DP-1 and H-22. But no information available for that period of time can prove the actual cause one way or another.
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More comprehensive and reliable data is needed to provide the kind of understanding necessary to effectively interpret what is happening to the air and what should be done about it. Simple improvements like recording visual observations during sampling time and quick rechecking of unusual data values would help tremendously. To truly understand the mechanisms and potential harmful effects of ambient particulate concentrations, further detail is needed. Chemical analysis and particle size distributions should be run for each sample. Tracer studies could be used for either identifying a specific source or measuring the disturbance of ground, dust. For each sampling day, a wind rose attached to a printout map of the stations and their particulate values should be obtained. Action could then be taken on an immediate basis to trace the cause and take appropriate corrective action. If a particular source is suspected, shorter term sampling should be done to reduce meteorological variability. Also, samples could be taken both upwind and downwind of the source. This would give a clearer indication of the source's actual contribution to the particulate levels.
The Federal ambient air standards in themselves pose a problem. They call for only a total concentration in the air, taken on the basis of total weight of particulates. There is no basis for distinguishing the type or size of particle. And the atmospheric area itself is poorly defined. Is it considered a region, or the atmosphere in a ten foot radius of the sampling site? Thus the standard itself leaves no room for determining the relative potential of harm, either in size of particle, type of particle, or degree of public exposure. The standard sees the same harm in 150 ug/M, of dirt thrown up by a bulldozer in an industrial construction site as in 150 ug/M^ of very fine, toxic chemical particulates permeating a residential area. Obviously there is a difference which control strategies should reflect but which the sampling method does not reflect. A second generation of standards is needed to more specifically address these problems realistically and effectively. The sampling data would then be correspondingly improved in measuring for compliance with these standards.
There is valuable information to be gained from sampling in construction areas. The effect of construction activity should be documented. But when a sampling station is adjacent to a construction site, it should be recognized as such and not treated as an indication of regional air quality. Stations are currently classified according to their use. These classifications should be updated to account for changing conditions. The Deer Park Station, for instance, should probably have been reclassified from a regional monitor to a special purpose site while the adjacent road construction was in progress. The Houston 22 site, inside the refinery, should be reclassified as a special service site until the heavy construction and earthmoving activities are ended. It should not be viewed as a regional site until then.
In summary, current data its collection process are woefully inadequate ' for good understanding of the atmospheric processes in this area. Indications are that construction activities can have a major effect on particulate levels at specific sampling sites. The more obvious sources can be identified. But more refinement of data collection and interpretation is needed, as well as a second generation of particulate standards, reflecting the realities of atmospheric processes, and based on the potential for harm.
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DETAILED METHOD AND RESULTS
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DETAILED METHOD AND RESULTS
B. DESCRIPTION OF DATA
Sampling Stations
Table 1 and 2 show the ambient particulate data of the six nearby City Sampling Monitors taken over the last three years. Table 1 is by half year - Table 2 by monthly geometric means. The stations chosen for study are shown on Figure 1. They surround the Complex in these directions.
Northwest North by Northeast East South West by Northwest Inside Plant
- HI8 - H20 - H23 - DPI - H21 - H22
The data from these stations must be viewed in relation to the following Federal ambient air standards:
PRIMARY Jig/M3
SECONDARY jjg/M
24-hour average (not to be exceeded more than once per year)
Yearly Geometric Mean
260 75
150 60
Currently the region must meet the primary standard. On the basis of the data given in Table 1 H-22 and 1-DP stations failed to do so for 1974 and 1975.
Trend Analysis
Note that the 1-DP station had very low levels in 1973 and then took a step jump in 1974. Then, in the latter part of 1975 the values are falling again. H22 also took a step jump increase in 1974. However, in the last months of 1974, and the first months of 75, the values jumped back down, but have gradually been rising through 1975. To see if these 1975 trends are statistically significant for 1DP and H22, we calculate the Spearman Rank Correlation Coefficient (rg).
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Given observations Xj, X_, ... Xn (taken over time) and their corresponding ranks R(Xj), RXX2),... R(xn), then:
rs = 1
l> a
tE d.2 l=i 1
N(N2 - 1)
-It r s 1
- where d. is the difference between the rank of X- and its sequential index i in the series--ol N observations. By using the published tables (see Appendix C), the significance of the trend is found. In our case, for DPI, March through December of 1975, rs = -.59, and H22, for January through December is +.56. These are outside the range of - .5515 and - .4965 respectively, and thus are significant trends at the 95% confidence level. Therefore, there is a significant trend downward for DPI and upward for H22 in the 1975 times selected.
Method
In order to provide insight into these trends, further break down of the data is needed. The most obvious catagorization of the data would be with respect to wind direction. Since the particulate data is an average over a 24-hour period, and since the wind frequently changes direction within that time, some choice in data treatment must be made.
There are two choices in treating wind direction data. We can choose to simply ignore those days when there is not a persistent wind. Or we can weight each particulate value by the number of hours of wind from each given direction. The advantage of the first method is that the data can be treated individually -- each data point can stand alone for a particulate value from one wind direction. The disadvantage lies in discarding much of the data, since the wind direction is more often variable than not. If we use the second method and weight the values in proportion to the amount of time the wind is blowing from any given direction, we cannot rely as heavily on any one data point. But if we take a sufficiently large population, say one year's time, then the patterns are more accurate. If there is a source to the East, the more hours of wind from the East, the higher the particulate values will be. The advantage to this method is that almost all of the data can be used, and the long term patterns are more conclusive. Since we are interested in longer term patterns (peak values are discussed separately) the second method is used in this discussion. The wind data recorded every hour by the City of Houston is used in this study.
In order to weight this data by wind direction, the 24-hour value is taken as 24 equal- hourly values and assigned to the corresponding wind direction. For example, if on a given day the wind is from the North for eight hours, the South foi^r hours, and Southeast twelve hours, and has a 24-hour average value of 61 pg/m ,
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eight 60 /Jg/m3 values are assigned to the North direction, four 60 jjg/m3 values to the south, and so on. The average and standard deviations for all the values in each of the sixteen wind directions is then calculated and a frequency distribution histogram constructed. This is done for each of sixteen wind directions, for each of six sampling stations, for each of three years. Appendix A is the table of means and deviations and Appendix G is the frequency histograms. It should be noted that the means calculated are arithmetic and not geometric and therefore should not be directly compared with the standard. Appendix B contains the geometric means for the same time period. They follow the same trends as the arithmetic means, but the absolute numerical values are lower.
OUTLIER REJECTION
Method
It is apparent that a small number of very large values can make such huge differences that the underlying pollution patterns are obscured. These outliers must be rejected for purposes of this study. Criteria were developed which were used to reject the outliers. Individual data points were judged for exclusion if they:
1). Significantly skewed the mean and inflated the standard deviation;
2). were inconsistent with the pattern established by the other data (e.g., if a peak was increased, the data point was kept; if a valley became a peak because of one day, the point would be rejected);
3). were illogical in the context of data obtained at nearby stations (the result of either a highly localized phenomena or sampling equipment malfunction); and
4). interferred with interpretation of data affecting Shell's impact (e.g., a significant point source nearby).
Standard deviations and frequency histograms were calculated both with and without each suspect point. Only one, data point was dismissed outright. This was the April 5, 1974, value of 958 pg/nn at HI8. Either sampling error or some highly localized phenomena totally inconsistent with other data are likely suspects. Compare the dotted line on Figure 3c which shows the 1974 average with that day, and the solid line which shows the same average without the point. This value is unacceptable for this study.
Table 3 lists the data points which are not used in this study. It includes much of the data acquired during H18's initial weeks of operation. They are inconsistent with data collected after this time and, unless rejected, render our base year meaningless. The other data points also meet the rejection criteria above. (See Appendix D for means, standard deviations, and frequency histograms before and after this data is deleted).
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Significant Source
The data rejected for this study nevertheless presents strong circumstantial evidence of a major source. Figure 3d, the H21 yearly values, shows clearly that the excessive values all occured with a North by Northwest wind. For 1974 H18 outlier data points, the wind is from the Northwest. And although the magnitude cannot be taken too seriously, even the data taken in 1973 when HI8 first .began operations exhibit a convincing trend and pattern of higher levels with a Northwest wind. These outliers probably do not occur this consistently by chance. More likely a major particulate source exists North by Northwest of H21 and Northwest of H18 which erupts intermittantly, causing high ambient particulate concentrations. However, analysis of Shell's effect on the area requires that we control for this source to prevent its interferrence. Thus, the extremely high data points, as listed, are not used in the remaining discussion.
D. EVALUATION OF WIND DIRECTION DATA
The following is a discussion of the wind direction data given in Figures 3a-f. The 1975 values are based on the first three quarters of 1975. (The last quarter values will tend to lower overall the particulate averages)
I-DP -
H18 H21 H22 H23 -
The most marked changes to occur in the particulate concentrations is when winds are blowing from the east/southeast. From a low of 52 in 1973 through an 86 in 1974 to a high of 109 in 1975. In general, 1974 was much higher than 1973 for the west and northern wind directions. In 1975 the northern values decreased and the W,WSW averages increased.
When H18 is evaluated without the outlier data points, the three years appear remarkably similiar. There is one notable exception, however, and that is when the wind is again from the ESE. There has been a steady increase from 73 through 74 to a marked peak in 1975.
This station has shown a pattern of decreasing average particulate concentrations (when those few, very large values are discounted above) No clear pattern emerges.
This station, located within the refinery, shows a pattern of increasing in 1974, but decreasing again in 1975. The peaks generally lie along the east/west axis (along the Ship Channel and toward downtown).
H23 shows a large peak in 1974 from a west wind (along the Ship Channel) and from an ESE direction. The 1975 values are generally lower than those in 1974.
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H20 -
H20 shows a large drop from west to southwest winds from 1973 to 1974 and another drop from 1974 to 1975. Interestingly, the only place this trend is reversed is again out of the ESE.
E. SHELL'S DEER PARK MANUFACTURING COMPLEX EFFECTS
Shell Downwind
One way to judge the effects of Shell I-DP on these stations is to plot them with Shell centered downwind. Plotting them all together presents a random array of points with no clear pattern. (Figure 4a). If Shell indeed is a major source affecting ambient air, or even some other company located in approximately the same area, then the wind direction plots of all the stations should produce a clear peak when centered on us. The plot of the averages of all stations with Shell downwind does not present this clear picture. (See figures 4b-e). There does seem to be a peak in 1974 slightly off center of Shell and decreasing in 1975 (Figure 4e). Much of the higher 1974 average is reflective of high DP-1 data points (Figure 4c).
Upwind/Downwind Levels
Another way of judging Shell's effect is to take the wind values for a given station that would place it directly downwind, and use those same winds at another station that most nearly represents the upwind concentrations. The difference of these two values, averaged over all the stations, is given by year in Table 4. The overall downwind-minus-upwind-average for all stations surrounding Deer Park has decreased from 17 in the base year of 1973 to 0 in 1975. Shell has not ceased or significantly changed operations and, thus, cannot be credited with the decrease. Likewise, however, there is little to indicate that Shell's operations have
had deleterious impact on the ambient particulate level.
Computer Modeling of Net Ground Level Concentrations
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The Texas Air Control Board has set standards for net ground level concentrations (downwind-minus-upwind) particulate concentrations from any given source:
RULE 105.21 105.22 105.23
TIME
averaged over 5 consecutive hours.
averaged over 3 consecutive hours.
averaged over any one hour period.
STANDARD 100 )ig/M3
200 ug/M3
400 jjg/M3
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Computer modeling was done using Shell's SMOG II air dispersion
calculation program (Shell Technical Report BRC-Corporation 23-73-P) assuming worst case conditions. The program is based on a Gaussian plume dispersion model and uses the Pasquil-Gifford dispersion parameters and the Briggs plume rise formula. Inherent program sampling time is 10 minutes. To extrapolate to the time of the given standard the following relationship is used (from McGuire, T. and Noll, K. E., "Relationship Between Concentrations of Atmospheric Pollutants and -" Averaging Time", Atmos. Env., v. 5, 291-298 (1971).):
Cmax (t) Cmax (tQ)
/ t \ --b = ' tQ '
(1)
where: t = sampling time of standard tQ= ten minute (computer model sampling time)
Cmax (t) = Maximum concentration of pollutant over time t Cmax (t ) = Computer model maximum concentrations. Maximum
concentration of pollutant over time t
b = constant = .2 (conservatively)
so
Cmax (t) =
(-j^p) "*2 Cmax (tQ)
(2)
For t = 60 minutes: or
Cmax (t) =
(||) ~*2 Cmax (tQ)
Cmax (t) = .699 Cmax (tQ)
(3). (4)
For t = 180 minutes: Cmax (t) = .56 Cmax (tQ)
(5)
For t = 300 minutes:
Cmax (t) = .506 Cmax (tQ)
(6)
So, on the basis of Class A stability and a North wind at 5.1 m.p.h., the maximum ground level particulate concentrations are as follows:
1 hour , 400 jjg/Mi
Standard
3 hour . 200 jig/M-*
Standard
5 hour _ 100 pg/M^ Standard
Now Existing (depending on gas supply
22-40
20-32
16.2
Presently Approved
49 40
34
Above + Phase II Oil Burning
66
53
48
(also see Table 7a)
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For the one hour sampling time, even assuming worst case meteorological conditions, currently approved particulate levels are about 12% of the standard, and the increase due to Phase II oil burning would only be about 4% of the standard. These percentages, of course, increase with the time averaging period and correspondingly lower standards.
We can use the same technique to extrapolate to a 24-hour average for worst case conditions. In this case we assume a constant north wind for 24 consecutive hours for a constant 5.1 m.p.h. wind and stability class A. This should be compared with the "not to be exceeded more than once a year" Federal primary standard of 260 pg/fvr or secondary standjj^Qf 150 ufi/M ^
Max Net GLC
(pg/M3)
Existing (Depending on Gas Supply)
12-21
Presently Approved
26
Above + Phase II Oil Burning
35
We now want to extrapolate the model to calculate the effect on the yearly geometric mean for the area. The DP-1 sampling site is of primary concern to this study, so it is used as the reference point. The effect of Shell's emissions on the Deer Park station will be dependent on both wind speed and direction, as well as other meteorological and operational variables. We will hold these other variables at a conservative value, and obtain a "best guess" estimate solely on the basis of the proportional time during the year that the wind is at a given speed or direction.
Long term wind data averages can be found in the U.5. Department of Commerce's Climatic Guide for Houston - Galveston, Texas Area (Washington, D.C., 1962). It lists the typical percentage of time during a year when the wind is blowing at any given direction or speed. Table 7b shows these percentages for a NNE, N, NNW, and NW winds. Only with these winds will Shell's emissions have impact on the Deer Park Sampling Site. For each operational case (existing, now approved, and post Phase II Oil Burning) we can obtain the calculated particulate concentration at
the Deer Park Station for these wind speeds and directions. (See Tables 7c-7f). These values are weighted by the fraction of the year these conditions are encountered, and a yearly average is found. So the following is a conservative estimate of the increase in yearly ambient particulate concentrations at the E^eer Park Sampling Station, compared to the Federal primary standard of 75 pg/MJ or
^^dai#~Xtandaf^ of
)Qfo/
^^ ^
pg/M3
Existing (depending on gas supply) Presently Approved Above + Phase II Oil Burning
1.1 - 1.8 2.7 3.2
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Thus, the increase due to the Phase II Oil Burning activities at the Deer Park Complex should increase the annual average at the Deer Park Sampling Station by only .5 /Jg/MJ over presently approved levels.
So, on the basis of the short term net ground level concentration standards, or the yearly average standards, the Shell complex and proposed expansion have relatively minor impact.
PEAK VALUES
Peak Values at H22
Table 5 shows the peak values at H22 for the years 1973, 1974, and 1975. This station is located inside the Shell Refinery on the sou^h side of the Lube Plant Office. The peak values are those greater than 150 pg/M . Obviously, 1974 was a bad year with many high values. The high values were absent the first half of 1975, but increased in frequency toward the end of the year.
One very plausible explanation for this data is the level of construction activity within the plant. Construction began on Sulfur Recovery Unit 5 in December of 1973 and was completed in January of 1975. The construction site lay within one hundred yards of the sampling station with no intervening structures. Due to the nature of construction activity, it was not confined as a point source (due to hauling of dirt, etc.). This dust associated with the construction activity was probably the cause for high values in 1974.
Due to the Major Projects expansion activity begun in the latter part of 1975, much earth moving and construction has begun and is increasing. It is not surprising, therefore, that particulate levels would be increasing because of it. A new phenol plant is being built just southwest of the sampling site, and major earthmoving activities in connection with solid waste handling are being done north and east of the location. Construction materials and equipment are dropped in the small field directly adjacent to the sampling site. Thus, the increasing particulate levels at H22 over the last part of 1975 are likely due to increasing construction activity and the resulting dust and sand.
Peak Values at DP-1 3
All particulate values greater than 150 jJg/M for DP-1 are shown in Table 6. The wind values for each of these days is also given. The wind data for peak values is characteristically different for 1974 than for 1973 and 1975. The winds were from the North and slightly west for 74 "highs", but ESE to south for the 75 "highs". This trend toward increasing values with an ESE to SSE wind follows the trends of the other station. The north to northwest wind high values for 74 appear anomalous.
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The sampling station at DP-1 is located directly adjacent to the Deer Park Fire Station facing 13th street near the intersection with Center Street (the main street of Deer Park). All of 13th Street, from Center west to the East Loop was expanded and paved with construction beginning February 13, 1974, and cleanup ending March 27, 1975. The construction timetable obtained from the City Engineer's records, as well as the corresponding particulate data, are shown in Table 8. While this data cannot prove anything, it does suggest a relationship between .-construction activity and increased particulate levels.
Another construction activity worth noting is the Coastal Industrial Water Authority's (CIWA) project to provide surface water to industries along the channel. They lay very large water pipe all along Highway 225, moving generally eastward from April 1974 to present. The dust from these activities, stirred by the heavy traffic flow, could have affected either the Deer Park or H22 stations which flank the highway.
AREA TRENDS
Description
To find if some source outside the area bounded by these surrounding stations influences particulate levels, the average by wind direction of all the stations is calculated and plotted by year (Figures 5a-f). For each year the plot consists of the average of the four base stations; then the same plus H22; then an average of all six stations including DP-1. This illustrates any effect on the average from the questionable data obtained at these stations. Figure 5f shows the yearly trends. The dotted line shows the 1974 average without the suspect 1974 DP-1 data. Particulate levels with winds from the ESE changed most during the three years. West winds, from Downtown along the channel, generate the other peak. 1975 values show a significant drop along this direction, however.
Area Industrial Expansion
Rapid industrial expansion characterizes the area SSE of Deer Park, and, indeed, the entire region. Table 9 charts some of the announced construction and expansion activities for this region. It is not unlikely that these projects have some effect on the ambient particulate levels, and could be influencing these rising ESE levels. Considering the available data, one may only speculate as to relationships, let alone cause and effect. Although the data is too uncertain to be proof, suggesting relationships should provide a starting place for further study and measurement in this area.
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RECOMMENDATIONS
below:
Several recommendations for providing more conclusive results are given
1. Visual observation of sampling. Little is presently recorded about the more obvious environmental conditions at the time the sampling is done. After the fact attempts to reconstruct the conditions are highly unsastisfactory. A simple description of any unusual activity or meteorological data can prove immensely beneficial.
2. Detailed analysis of sample collected. Obviously, particle size distribution and chemical analysis of the particulates collected can provide information as to its source as well as its potential for harm.
3. Quality control of data. Tho City is already making strides in this area. If some very high or contextually illogical value is found, it should be rechecked both for analytical accuracy as well as external causes.
4. Tracer Studies - To see if a particular source is influencing particulate levels, some tracer material can be introduced. This could either be into a stack, or along the ground near the station to check for stirred up dust.
5. Stations SSE. Samplers should be placed around the rapidly developing industrial areas along Galveston Bay.
6. Wind Rose. For each day samples are taken, they should be immediately printed on a map along with a wind rose. This would provide an instantaneous picture of the day's pollution levels, and provide a basis for immediate investigation of unusual data.
7. Short Term Sampling. Some shorter term sampling should be done to eliminate some of the uncertainty introduced by wind variability and changing weather conditions. Upwind/downwind tests could be made of specific sources.
8. H22 Reclassification. The station H22 should not be used for determining compliance with regional ambient air standards in this area. It has become a very poor location, due to the commencement of major construction activity. It can not provide representative ambient air data and thus should not be used for that purpose. It can be used as a special service site to monitor effects of construction. It should be reclassified as such.
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FIGURES AND TABLES
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6 PERIODIC SAMPLING SITE CONTINUOUS MONITORING SIT
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TABLE 1
GEOMETRIC MEAN OF PARTICULATE LEVELS (By Half Year)
1972 1973 1974 1975
1 2
1 2
1 2
1 2
HI 8 H20 H21 H22 H23 DP-
69 121 68 51 66 57 79 62 31
72 56
186* 56
79 56 41
69
60 65 75 63 47 60
72 63 71 90 55 81 64 52 76 81 57 82
68 57 80 74 59 86
67 52 57 88 51
72
^Highly Suspect.
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TABLE 2 G e o m e tric M e a n , b y M o n th (in P a re n th e tic a l num bers include suspect data p o in ts. O ther num ber is w ithout suspect data p o in ts.
in p-
CM
si
m p-
pH NO
p- o
00o m in in m o cm r- xo o' >>o m p-
m aol
oo 00
in M* in I no *
O' PM* ^
m m O' oo m in
in in O' in
co M* O' o
CM O'! M4 aol
CM M4 r- -
vpO- a00o
CM C0 M3
O^ O' nO
cm o o
--
oo P- *n O'
in p*
O' p-
m p-
o CM
I M4
X
m p-
00 M4 x3
in m M3
0M04 'MO3 MP"4
vO o o nO in co
M* O' 00 M4
O P-
O' PM4 in
O' cm oo in M4 M4
in in
<M vO O' m
vO M4
O' CM p- M4
col ml
o^ M3 ^
CoMo CMM*
CmM CMM4
o-o* Oo Oin'
M4 'O in in
m O'! p- p-|
om xo
in
CO M4
X p-
m p-
i o o M4 f4 00 O' M3 m m
I p* sO M' CM p- col H CM
M4 in in
"IM3 O'
vO
si1o m t- O' o 5* M*
m O' M4 NO M3 o in
M4 CO
P00
O pin M3
O'
<n in
M^_r-
in m o
m
aim m*
ao CM
^ O --* M3 -- o
in
oCM
p-
vO co
P-
P <M
M4
00 p-
00 in
O' M4 in
xO m
r-| 1
o CM M3
LAM 025453
m p-
cul Q
M4 P-
m p-
M4 o o
M4 in
xO p- o CO O' o
1-+
xO 00 m vO m xO o xO m xO
pH
CM m O' 00
o xO
p00
o rf O' O'
O' CM xO
O' m p- pH
M4 m
p O'
00 O' m M3 CO xO
M4 in
M* 00
CO in
in in
o M4 M3
p- xO
M*
p- CM vO xO
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vD ^
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o
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c
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LAM 025454
f
o Il
t fm
V/JOJ0
Co'-'i UD<D
SI
f I
uro 3d'
Vmimo OiftAcnaM
ABS-035476
i/jota OiC&ne/j
G>
LAM 025461
TABLE 3 DATA NOT USED IN ANALYSIS
Station 1 HI 8
2 H18 3 H21 4 H21
Year 1973
1974 1974 1975
Date
1-22 1-28 2-3 2-9 2-15 2-21 2-27 3-5 3-11 3-17 4-4 4-10 5-4
3-12 4-5
9-8 12-1
1-12 2-23
Value
1107 692 365 558 159 148 94 431 790 468
1447 465 590
325 958
423 296
216 333
LAM 025462 ABS-035477
> VIJ
-n LAM 025463
Figure 4a-
Sot/Jfijvjt/OQ
'F ig u re 4a-
SHe
ABS-035483
ABS-035484
FfTOft*.
tt 1TV4 ^D*AOlUL
Wi*jO
lam 025471
S 'h
DPMC UPWIND/DOWNWIND LEVELS
Station
DP-1
Up H22
Down
Difference
. 1973
43 58.6 74.2
+31.2
1974
46 78.3 135.9
+89.9
Up H18 H22
Down
Difference
- H20
Up H22 Down
Difference
56.1 58.6 57.8
+1.7
62.3 71.8 98.5
+36.3
79.5 94.7 61.0
71.4 97.3 71.6
+ .2
Up H21 H22
Down
Difference
44.4 58.4 79.7
+35.3
85.0 97.6 81.0
-4.0
Up H23 H22
Down
Difference
78.3 84.1 59.5
-18.8
100.1 103.0
83.9
-16.2
Avg. Difference
+17
+10
in 00 rH
1
1975
44.1 67.1 90.3
+46.2
80.9 83.7 73.0
-7.9
84.0 88.3 70.4
-13.6
68.6 85.4 76.3
+7.7
87.4 84.0 54.6
-32.8
0
LAM 025472
ABS-035485
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LAM 025473
ABS-035486
TABLE 6 HIGH VALUES AT DP-1
Y ear
1973
Date
5-10
Value
152
Wind/mph
.
S-4 S-4 S-4 S-2 SSE-2 SSE-2 SSE-2 SSES-5 S-8 S-10 S-10
S-9 SS-12 S-12 S-12 S-13 S-ll S-8 S-5 SSE-5 S-6 S-6
1974
4-5 5-11
158.
158.
NNW-3 NNW-4 N-5 NNW-5 NNW-6 NNW-6 NNW-6 NNW-6 NNW-8 N-10 N-l 0
N-9 N-9 NNW-10 NNW-11
NNW-9 NNW-9 NNW-7 NNW-7 N-2
N-l N-l ENE-1 SE-1
No wind No wind No wind No wind WNW-1 WNW-2 WNW N N WNW NNW
NNW-5 Var-4 Var 4 Var-3 N-4 N-4 N-4 NNE-3 ENE-3 NE-2 NNE-1 N-l NW-0
1975
3-25
7-29
163.
230.
ENE-3 NE-3 ENE-3 E-3 E-2 ESE-3 ESE-3 ESE-3 ESE-2 SE-5 SE-7 ESE-8 ESE-8 ESE-10 ESE-11 ESE-13 ESE-13 ESE-12 ESE-12
ESE-9 ESE-7 ESE-6 ESE-6 ESE-5
E-3 S-2 ESE-2 SSE-3 SSW-3 S-3 N-4 E-4 E-6 SSE-7 S-5 S-3 S-5 SSE-4 NNE-5 NNW-6 NE-7 NE-4 ENE-4 E-4 E-4 ESE-4 ESE-3 SE-5
LAM 025474
ABS-035487
TABLE 7 a
PREDICTED MAX G.L.C. (STANDARD: 400 ug/M3) 1 HOUR SAMPLE
JfIND ANGLE NORTH
Stability Class 2.38 (A) 1 (B) 2 (C) 3 (D) 4 (E) 5
ecu
OP-II ONLY
.11
22
12
6*
0*
1*
ecu
OP-II & BOILERS
38
40
40
33
10*
24*
PHASE 1 43 47 45 37 11* 25*
PHASE 1 & CPS ' 43 49 45 37 11* 25*
PHASE 2 38 45 39 35 19* 19*
PHASE 2 & BOILERS
61 66 63 56* 20* 29*
(A) 1
(A) 1
11.6 1.1
BASIS-24 HOUR SAMPLE - NORTH WIND (Fed.Std. : 260 ug/M3 primary
150 ug/M3 secondary)
21.2
24.9
25.9
BASIS-YEARLY AVG-AT DP-1 (Fed.Std.: 75 ug/M3 primary
60 ug/M3 secondary)
1.8 2.2 2.7
23.8 2.6
34.9 3.2
Off grid, so probably not accurate
025476 ABS-035488
TABLE 7b
PERCENTAGE FREQUENCY AND MEAN SPEED OF SURFACE WINDS*
Wind Speed (MPH) 1-3 4-7 8-12
13-18 19-24 25-31 Total Mean Speed
_______ Wind Direction
NW. NNW
N
.2 .2 .2
.7 .8 .8
1.2 1 .7 1.9
1.0 1.9 1.7
.4 .8 .6
.2 .2 .1
3.8 5.6 5.4
12.4
13.5 12.4
NNE .2 .8
1.6 1.5
.5 .1 4.7 12.0
*From Climatic Guide for Houston-Galveston, Texas Area, U. S. Department of Commerce, Washington, D.C. (1962).
LAM 025476
ABS-035489
TABLE 7 C
PREDICTED MAX G.L.C. AT I-DP SAMPLING SITE ug/M3
WIND ANGLE NNE
WIND SPEED
2 5.5 10 15.5 21.5 28.0
CCD OP-II
ONLY
1.0
.4
.2
.1
.1
.1
ug/M3
.011
Contributed
CCD OP-II & BOILERS 15.6 5.7 3.1 2.0 1.5 1.1
.165
PHASE 1 20.4
7.4 4.1 2.6 1.9 1.5
.216
PHASE 1 & CPS 20.6 . 7.5 4.1 2.7 1.9 1.5
.218
PHASE 2 16.3 5.9 3.3 2.1 1.5 1.2
.173
PHASE 2 & BOILERS
27.3
% WIND
.2
9.9 .8
5.5 1.6
3.5 1.5
2.5 .5
1.9 .289
.1 -
LAM 025477
ABS-035490
'"TABLE 7 d
PREDICTED MAX G.L.C. AT 2-BP SAMPLING SITE ug/M3
.JJIND ANGLE N
"WIND SPEED
2 5.5 10 15.5 21.5 28.0
CCD OP-11
ONLY 36.2
13.2
7.2
4.7
3.4
2.6
CCU OP-II & BOILERS
81.8
29.8
16.4
10.6
7.6
5.8
PHASE 1 105.6 38.4 21.1 13.6 9.8 7.5
PHASE 1 & CPS 129.5 47.1 J25.9 16.7 12.1 9.3
PHASE 2 117.3 -42.7 23.5 15.1 10.9 8.4
PHASE 2 & BOILERS
162.9 59.3 32.6 21.0 15.2 11.6
% WIND
.2 .8 1.9 1.7 .6 .1
-ug/M3
.418
Contributed
.945
2.217
1-494
1.353
1.879
LAM 025478
ABS-035491
TABLE 7 e
PREDICTED MAX G.L.C. AT 1-DP SAMPLING SITE ug/M3
WIND ANGLE NNW
WIND SPEED
2 5.5
10
15.5 21.5 28.0
ecu
OP-II ONLY
54.3
19.8
10.9 7.0
5.1
3.9
ecu
OP-II & BOILERS
60.9 22.2
12.2
7.9 5.7
4.3
PHASE 1 66.3 24.1 13.3 8.6 6.2 4.7
PHASE 1 & CPS
84.4 30.7 16.9 10.9
7.8 6.0
PHASE 2 93.3 33.9 18.7 12.0 8.7 6.7
PHASE 2 & BOILERS
85.2 31.0 17.0 11.0
7.9 6.1
% WIND
.2 .8 1.7 1.9 .8 .2
ug/M3
.634
Contributed
.711
.774
.984
1.086
.992
law 025479
ABS-035492
TABLE 7 f
PREDICTED MAX G.L.C. AT 1-DP SAMPLING SITE
ug/M^
WIND ANGLE NW.
'WIND -SPEED
2 5.5 10 15.5 11.5 28.0
ecu
OP-II ONLY
.28
.1
.06
.04
.03 .02
ecu
OP-II & BOILERS
.28
.1
.06
.04 .03
.02
PHASE 1 .26 .1 .05 .04 .02 .02
PHASE 1 & CPS .38 .1
.05 .04 .03
PHASE 2 3.9 1.4 .79 .51 .37 .28
PHASE 2 & BOILERS
3.3 1.2
.67 .43 .31 .24
% WIND
.2 .7 1.2 1.0 .4 .2
c
00
%
o
CO
.003 Contributed
.003
.002
.004
.034
.029
lam 025480
ABS-035493
TABLE 8 CONSTRUCTION'- DEER PARK - & PARTICULATE LEVELS
13th Street Paving - Center St. to East Loop
Y ear 1974
Date
1/5
1/11 1/29 2/4 2/10 2/13 2/14 2/15 2/16 2/20 2/22 2/26 2/27 2/28 3/1 3/4 3/5 3/6 3/7 3/8 3/12 3/18 3/19 3/20 3/21 3/22 3/24 3/30 4/5 4/11 4/29 5/5 5/11 5/16 5/17 5/23 5/29 6/4
Particulate Concentration /m ) Construction Activity
88 -Ja 130
92 65
Ditch Excavation
116 113
51
44
73 47
60 86 158 64 64 -8-7-----158
65 93 71 67
{ Records unclear for April ( at least 6 working days (
Concrete Poured
11 LAM 025481
ABS-035494
Year 1974
Table 8 Construction - Deer~Park~& Particulate Levels
2
----------------
---- - ---------
Date
6/5 6/6 6/10 6/14 6/20 6/21 6/25 6/26 6/27 7/1 7/2 7/3 7/4 7/5 7/8 7/9 7/22 7/24 7/25
7/29 7/30 8/1 8/10 8/12 8/14 8/15 8/16 8/20 8/21 8/22 8/23 8/27 9/2 9/8 9/11 9/14 9/20 9/26 10/2 10/3 10/4 10/8
Particulate Concentration (
---------------------- ----
/m^)
Construction Activity
-....... 132
126
113
62 79 48 65 123 ' 61 99 66
Sand unloaded -------- --HSand-spread--------
Concrete Poured
11 It II It
~ 1! "
11 It 11
11 11 M
Shell placed in ditch at 13th & Elm
11 11 11 11
Backfilling Laying pipe Stripping off grass; laying pipe
11 11
Excavating street
It 11
It
A little excavation; then rained out
Excavating
o25482
11
141 Preparing base for lime
ABS-035495
Table 8
Construction - Deer Park &
Particulate Levels
'3
Year
Date
Particulate Concentration (
/m ) Construction Activity
1974
-*
10/9 10/10 10/11 10/14 10/16
10/17 10/18 10/20 10/21 10/22 10/23 10/24 10/25 10/26 10/30
11/1 ii/7 11/12 11/13 11/14 11/15 11/20 11/21 11/22 11/25 11/26 12/1 12/2 12/3 12/4 12/5 12/7
12/9 12/12 12/13 12/16
12/19 12/20
1975
1 /18 1/24 1/30 1/31
84
95
147 35 49
-
46
no
85
80
133
C t- '
49.3 112.1
j 47- .9
Loadi-nItg- -L'ime -It * * -
Finished Form Crews rftOve in; subgrade being
roIltled and set up
Pourin11g concrete
ft It 11 M
Pour curb
-- - <*-- 1 -- -- ----- 11 11
Pour c11oncrete -- - 11 --- Make grades' *'
C--l"ea- ni(n1 g 'u" p" building inlets; paving curb tt II
tt 11 11 " --H ' -
Dozer and scraper; backfilling curbs
11
UAW 025483
Cleanup
east- :cr
ABS-035496
Table 8 Construction - Deer Park & Particulate Levels
Year 1975
Date
2/5 2/7 2/11 2/12 2/13 2/14 2/17 2/18 2/19 2/20 2/21 2/23 2/24 2/25 2/26 2/27 2/28 3/1 3/6 3/7 3/10 3/11 3/13 3/19 3/25 3/26 3/27
Particulate Concentration ( /m )
126.7 53.9
76.0
46.8
68.4 140.9
78.2 106.3 163.1
Construction Activity
Cleanup
II
II M
It
II n
n ti tt
it it ti
ti
it
it
it
ti
11
ti
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LAM 025484
ABS-035497
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LAM 025485
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LAM 025490
SR IB64) (Rev. 5-5:> I'rimcd in U.S.A.
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LAM 025491
Hi
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ABS-035502
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NEW PLANTS AND EXPANSIONS IN MAJOR TEXAS METROPOLITAN AREAS 1964-1974
NEW PLANTS HOUSTON Dallas Ft. Worth San Antonio
1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 TOTALS
71 99 68 97 56 75 62 59 29 61 83 760
46 65 50 61 47 56 40 40 51 30 17 503
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EXPANSIONS HOUSTON Dallas Ft. Worth San Antonio
95 110 138 98 126 157 94 54 54 124 87 1,137 49 62 46 49 68 61 33 17 39 29 30 483 59 70 42 34 53 46 40 16 27 20 27 434 15 17 6 8 4 6 8 5 9 10 12 100
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SOURCE: Texas Industrial Expansion, Bureau of Business Research, University of Texas
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APPENDICES
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ABS-035511
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LAM 025502
ABS-035512
CITY SAMPLlNC STATION -- HOUSTON 20 ancient level cr particulates imic.g./cu.m
JANUARY 1. 1979 TO DfCCH. 31, 1979
DIRECTION
N KNE NE CNE E ESC SE SSE S SSVf su k'SU V VNU NU NNU
IJO. cr HRS. GCOM. MEAN CEO ST DEV
161
99 89
62 C9
53 121
89
29f 65
59 33 99 98
79 6C
92.3 90.9 99.6
E0.2
63.1 69.5 73.6 =9.9 79.3 55.C 55.6 71.9 79.3 52.6 T8.5
38. C
1.7 1.6 1.7
1.5 1.9
1.3 1.9 1.9 1.9 1.3
1.3 1.3 l.S 1.8 1.8 1.8
CITY SAMPLl'tC STATION -- HOUSTON 18 AMDICNT LCVEL Cr PARTICULATES INIC.C./CU.M.1
JANUARY 1, 1379 TO PTCCN. 31, 1379
IfTKD DIRECTION
N
NNC Nt CNC E
CSC SC ssc 3
ssw su k'SU "u VNU NU NNU
KG. CF HRS*
IMS 77
6C 58
54 42 91 84 257
62 41 32 45 44 74 57
#
CCON. MCAN
61. G 91.7 98.5 62.6 68.6 60.3 59.3 53.3 66.2 0.7 C6.9 86.6 95.9 5.5
39.1 82.8
CEO S
l.S 1.6 1.3 1.9 l.C 1.5 1.5 1.6 1.6 1.6 1.9 1.7 1.7 1.8 1.8 1.7
CITY SAMPLING STATION -- HOUSTON 21 AK3IENT LCVfL OF ARTICULATES IMIC.G./CU.M.)
JANUARY 1, 197* TC PECEKB. 31. 1979
VINO DIRECTION
N NNE MC CNC E CSC sc SSE s ssw su wsw u
VNU NU NNU
' tJC. CF HRS.
159 ee 91 66 69 0
121 77
225 61 98 28 39
38 69 77
GEO". MEAN
42-2 4G*2 50-2 71.9 70.3 "4.3 72.7 63.8 52.9 56.3 55.5 74.4 96.5 53.7 3S.8 mo.e
CEO ST CEV
l.S 1.7 1.7 1.6 1.6 1.7 1.6 1.7 1.7 1.6 1.5 1.6 1.7
2.1 2.0 1.9
-.........- -
ANCIENT LEVEL CT PARTICuLAT' JANUARY 1, 1979 7C O'CEH
WIND OIRECTI CN
K NNE NC ENE
c
CSC SE SSE
s
ssu su usu
w
VNU NU NNU
NO. CF HRS.
166 79 92 62 61 51
123 88
258 69 60 35 51 46 75 79
GEON. ME
90.4 61.9 67.1 77.3 91.5 78.4 60.7 66.2 f 9.2
co.q
69.0 72.5 T7.8 36.1 96.6 1R3.0
GEO ST OEV
1.7
l.S 1.5
1.5
1.5 1.6
1.5 1.5
1.6 i.e
1.3
1.6 1.6
1.9
2.1
2.3
CITY SAMPLING STATION -- DEER PARK 1
ambient level cr P ARTICUL A TE3 IMIC.C./CU-M- > JANUARY 1.1979 TO DECEMBER 31.1979
- ............... ,
CITY SAMPLING STATION -- HOUSTON 22 AM3IEHT LEVEL CT PARTICULATCS I HIC.C.ftU.M.
JAN UART It 1974 TO DTCEM3. 31 . 1979
..
DIRECTION
N NNE NC CNC c CSC sc SSE s ssu su USU u VNU NU
NO. OF HRS .
120 81 66 49 52 41
108 75
179 39 36 19 27 38 66 63
CECM. MEAN
1?4 . 5 91. 5 36- 2 97. 4 97- 9 32- 6 67. 6 63. 0 65.,9 69. 2 68.,1 89. 6 99.>6 93. 1 87.,9
105. 7
CEO ST DEV
1.4 1.9 1.5 1.3 1.3 14 l.S 1.9 1.9 1.5 1 .3 1.3 1.3 1.3 1.2 1.9
WIND DIRECTION
N NNE NE
ENE E ESE SE SSE s ssw i SU ; USU U VNU NU ; NNU
1 -I
NO. OF HRS.
135 70 ec 64 64 52
110 67
214
60 56 31 4e 92 65 66
GEOM. MEAN CEO ST
70.8
1.6
78.0
1.6
94.5
1.5
103.1 1C2.9
1.3 1.3
46.8
1.4
91.1
1.3
90.C 96.5
1 .5 1.4
93.7
1.3
89.3 _ _ 1.3 98.9~ ' 1^4
194.8
1.4
82.2
1.7
53.1
1.8
58.6
1.8
LAM 025503
ABS-035513
CITY lAMrLlNC STATION -- HOUSTON 20 AKPICNT LEVEL Or PARTICULATES I MIC.G./CU.M.I
JANUARY 1. 107J IQ OrCCM. 31, 1073
NINO DIRECTION
N NNE KE ENE C ESE SE SSE S SSW SW WSW w WNW NW NNW
NO. OF HRS.
1P3 83 99 58 55 33
153 99
196 13 28 39 89 SC 26 66
CEO'I. ME AN
80.3 77.2 *5.2 58.2 56.8 87.0 63.5 77.6 "'7.7 33.0 105.7 93.3 99.7 70.2 86.9 75.3
CEO ST CEV
1.6 1.6 1.6 1.5 1.5 1.8 1.8 1.8 1.5 1.6 1.7 1.5 1.3 1.7 1.6 1.6
CITY SAMPLING STATION -- AMBIENT LEVEL Or PARTICULATE
JANUARY 1, 1073 TO CECEM.
HOUSTON 23 cmic.g./cu.h.1
31. 1973
vino direction
N
NNE
NE ENE
C
ESE SE SSE
S SSW
sw
wsv
V WNW
NW NNW
_.
NO. CF HRS.
115
SC
121 66
` ` 61
86
163 128 288
18 38 85 62 60 29 SO
GECM. hean
38.7 32.8 39.6 87.9 39.8 39.1
88.1
58.9 83.0 84.5 56.2 61.3 52.2 56.1 80. C 38.1
CEO ST DEV
1.5
1-5
1.8
1.3
1.8 1.2
1-5
1-5
1.8 1 .8 1.8
1 -3
1.8 1.5
1.5 1.5
.
CUT sampling STATION -- DEER PARK 1 amgient level cr farticulate: (MIC.G./CU.M. )
JANUARY 1, 1973 TC C'CEME 31. 1973
WIND DIRECTION
N NNE NE ENE E ESE SE SSE S SSW
sw wsu
w
WNW NW NNW
NO. CF HRS.
11C 76
117
8589 66
159
13C
2EC
18
38
88
62 55 27 65
GEOM. MEAN
78.0 08.3 67.2 91.2 60.9 50.6 00.0 62.9 59.5 SO.7 60.8 68.C 75.3 77.0 71.5 61.6
CEO ST DEV
1.5 1-5 1.0 1.5 1.5 1.3 1.5 1 .8 1.6 1.5 1.5 1.5 1.6 1.5 1.8 1.6
Cirr SANPLINC STATION -- HOUSTON 18 AKOICNT level OE PARTICULATES IMIC.C./Cu.M.
JANUARY 1, 1073 TO OFCEM. 31, 1073
WTNO DIRECTION
N NNE NE ENE E ESE SE SSE S SSW sw wsw w WNW NW NNW
NO. CF HRS.
25
88 93
S3 87 57 181
111 208
16 26 27 71 2C
8
23
-
CEOM. MEAN
F8.6
57.5 53.6 67.3 56.3 55.2 87.2 62.S 61.6 64.1 32.5 36.0 79.2 35-0 88.G 65. a
CCO ST CCV
1-8 1.8 1-8 1.5 1.3 1.3 1.3 1.8 1.6 1.8 1.2 1.8 1.8 1.8 1.1 1.5
. ..iTTrN _ -- HOUSTON 21
CITY SAL.K6 STMICM
,-IC.c./C"
miko DIRECTION
M
NNE KE ENE
E
ESE SE SSE _ _ .s
ssw sw
usu u
WNW ' NU
NNW
IX. OF HRS-
93
66
ice 6C 6C ec 169 119
' 215 15 27 37 85 6C 17 T9
CEOM. MEAN
82.6 53.0
` 68.1
77.2 61.C
88.8
71.2 78.8 73.9 71.8 78.7 88.7 73.5 *>3.8
88.8
05-6
CEO ST OEV
1.3 1-5 _ 1.5 1-3 1.5 1.5 1.7
1.6
1.7
1.8 1.8 1.8
1.5
1.8
1.5
1.8
CITY SAMPLING AMBIENT LEVCL CF
STATION " PARTICULATE
HCUSTCN 22 ; IHIC.C./CU.M.)
31. 1973
VTND DIRECTION
N NNE UE ENE E ESE SE SSE S SSW
SW wsw
w
WNW
NW
NNW
NO. CE HRS.
113 81
126
C5 6C 7C 135 133
262
18
38 85
62
St
RT
65
--
GECM. MEAN
50.8 58.0 58.7
75.8 ' 65.7
58 .R '
86.8
61.8 62.8 70.6
69.2
80.2
77.8 79.6 57.0 88.9
CEO ST OEV
1.6
1.5
1.6
1.7
_ 1^-
1.3
1.8 1.5 1.5
1.5
1.8 1.8
11..85
1 .5
1.6
____
LAM 025504
ABS-035514
lam 025505
TABYB 2 n p .900
SfQUANTILES OH THF. ttAttst'VN Test Statistic* .910 .975 .990 .995
.999
A .8000 5 .7000 6 .6000 7 .5357 S .5000 9 .4667
.SC90 .8000 .7714 .6736 .6190 .5S33
.9000 .8236 .7450 .7143 .6333
.9000 .SS57 .8571 .8095 .7667
.9429 .8929 .8571 .8167
.9613 .9286 .9000
10 .4424 .5515 .6364 .7333 .7818 .S6G7
11 .4IS2 .5273 .6091 .7000 .7455 .8364
12 .3936 .4965 5S04 .6713 .7273 .8182
13 .3791 .4730 .5549 .6429 697S .7912
14 .3626
.4593
.5341
.6220 .6747 .7670
15 .3500 .4129 .5179 .6000 .6536 .7464
10 .3332 .4265 .5000 5S24 .6321 .7265 17 .3260 .4113 .4853 .5637 .6152 .7053 18 .3143 .3994 .4716 .5480 .5975 .6901 19 .3070 .3395 .4579 .53^3 .5825 .6737 20 .2977 .3789 .4451 .5203 .5684 .6586
21 .2909
.36SS
.4351
.5073 .5545 .6155
22 .2829 .3597 .424.1 .4963 .5426 .6318
23 .2767 .3518 .4150 .4352 .5306 .6186
24 . .2701 .3-135 .4061 .474S .5200 .6070
25 .2646 .3362 :3977 .4654 .5100 .5962
26 .25SS .3299 .3S94 -.4564 .5002 .5S56 27 .25-10 .3236 .3S22 .4481 .4915 .5757 28 .2-190 .3175 .3749 .4401 .4S28 .5660 29 .2443 .3113 .3635 .4320 .4744 .5567 30 .2400 .3059 .3620 .4251 .4665 .5479
For ii greater titan 30 the approximate quanliles of p may be obtained from
where a-, is the p quantile of a standard normal random variable obtained from
Table 1.
SOUrtCE. Adapted from Gloser and Winter (19811, with corrections.
The entries in this tabic ate selected quauti'es nn, of the Spearman rank corrcl.nioa
coefficient p when used as a test statistic. The loe.cr quantiles may bo obtained from the
equation ;
h-, *= -W'i-p
The critical tceion coticspnuds to values of p smaller than (or greater th.cn) but not includ ing ll:-e appropriate quantile. Note trial the median cf p is 0.
*
lam 025506 ABS-035515
Alh> __ _
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L_. 706
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4^60
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4-
7/7.
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34
xsr
<72.
06
it i"r
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7/
4
4
6>_________
100
10
l to
7_______ /C?5.
a. Ja^L-
A Sb
5.._
A
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t?4_
89 .A
_#______ 8o_
t-
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_i_.
*f
/D_ 63
_______ 3.... __.4t.4_. .__
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12, tl4.."' 12-
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LAM 025507
C(|2-(oV
-A*- -*-) - rzX^' "0
rf^XB \ZG_
t>VL
_____
2. *r tS<\ 4
ABS-035516
= .*%s* 0 3s7*
. UydMAJW^7jvJA^g(
LAM 025508
LAM 025512
C*TE
I
UF1
HIS
HZC
H21
HZZ
HZ 3
~L_ 01/04/73
__ 34.0
0.0
90.0
93.0
136.0 _
45.C
wswu "wnunnene me c sc' EE E NE E NE NE 'E NE NE E SC S' ' E NE E NE E NEE EfNEE E " `
L* 01/10/73
43.0
0.0
0.0
38.0
60.0
21.0
,rNNENNENNENNENJN EtlNENNENNENNENNENE HE NE NE_ NNE_NNC NNE NNENNENE NE _NE_NE NNE m/lS/73 .......... 55.0 " " O.d' ' " 98*.0 ' 42.0' 3570" " 3C7o' TS S SSES SE SE SE 5SESSESSESSES S SSESSESSESE SE SE SE ESE5E SE
ui/22/73 ___ _12 0.0________ ___ 0.0
142.0 _ 131.0 _ 111.0_
94.0
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09/08/74
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09/23/74
39.0
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72.0
73.0
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10/14/74
64.0
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0 14.13.14.12.12.12.12.12.18.15,14.16.18.18,17,18,18.31.02,36.02.2.2,2.36
10/20/74
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f 10/26/74
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9 IS.IS.13.12.15.16.17,14,22.19,19.19,18.13.15.18.11.11.13.14,13.13.13.13
11/07/74
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11/19/74
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11/25/74
110.0
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12/07/74
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12/13/74
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0.0
34.0
53.0
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30.0. .. 37.0. _ . _61.C___
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o7/05/75
60.3
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42.6
43.4
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____C7/11/7S
37.9
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07/17/75
0.0
0.0
60.4
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07/23/75
0.0
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55.7
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__ 07/29/75 ... 230.2
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33.9 .122.0........._ 66.9__
12,13.24.24.24.24,26*25.25.2 3,33.36.07.03.15.17.22.17.13.13.17.13.23 .25
CE/04/75
0.0
0.0
49.1
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03/10/75
53.4
0.0
34.1
39.1
37.3
29.4
11.10.CS.C2.35,04.05.05,05.05.05,C4.02.36.C7.il.14,14,15.16.18.18.18.18
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19.20.23.22.21.21.29.2322,2524,27,24,15.15.15,17,13.17,17,16.17,19 .17
08/22/75
83.5
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77.9
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149.4
71.8
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06/28/75
79.4
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53.5
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03.03.06,06.05,06,06.00,07,07,OB.09,09.11.11,11,13.13,14,14,14,14,14.14
___ 03/03/75
0.0
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25.26.27.29.29.30.31.22.22.35.75.36.05,05.06.09.13.09.26,36,6.5.4.5
03/03/75
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03/15/75
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09/27/75
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____ 10/03/75________ 55. C
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10/15/75
37.7
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10/21/75
57.5
41.3
82.6
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____ 10/27/7566.7__ . 53.763.4^.. ____55.331.357.5.
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11/02/75
35.5
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11/08/75
41.4
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11/20/75
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11/26/75
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12/14/75
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LAM 025517
ABS-035524
DATE
OPl HI 3 H20 H21 H2 2 H23
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0*
01
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19,2l30180505Q506Q915,18191918,151512121215,1617C5C5
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fl1/18/75
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090309100909,35353SQ70604,300524.1918.2218,1923212425
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47.9
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02/05/75
126.7
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C 02/17/75
76.0
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02/23/75
46.8
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JD 3/01/ 7 56 3. 462.753.45_3.J75.358.9 1517, 18.18* 18.13.23.25*22.20.21.22.24,24,26.2 7, 31.33.32.36.25.6.4
03/07/75
140.9
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J33 /19/J5__________ 106.3_________49.5________ 69.5_________ 72.7_________76 .6_________ 6J .7___
35.35.36.02.36.02.36.13.03.12.12.13.21.18.24.18.13.13.19,18.13.19.19.17
C 03/25/75
163.1
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153.6
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03/31/75
0.0 107.6
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_04/0 6/75_______ _ 0.072, 0-________ __________ ____13,-26-5_. 158,J8
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c 04/12/75
87.9
48.7
47.0
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56.3
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"4/13/75
141.2
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____04/24/75__________ 57. 3
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05/06/75
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# 05/13/75
73.7
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20.2 2,25.29.23,32.36.05,12.15.15.16.17.16.18,18, 16.17. 17.15, 15 ,17,27,17_
C5/24/75
77.7
42.5
31.6
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c 06/05/75
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05/17/75
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17.5,7,5,2,5,5,6.11,8,9,4,5.6.7,9.9.1C.13,12,9.5.8,8
c 06/29/75
34.0
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C7/05/75
60.3
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------ 07/11/75 - ----- 27.9
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07/17/75
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07/23/75
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03/10/75
53.4
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OS/22/75
p"
- --
LAM 025518 ABS-035525
LAM 025519
oemcnslon ifilci ji.if:lt<3i,stat<4i
JCL00C10
DIMENSION WINCRUtl .WII.-: C ?11 .NUlKK2*iI .XWlllU241 SUM I lei. AVE (161 JELr0C20
- O'MCNSION SDSUM<161.STO::<l6lrXXX<16.3CCl'.NN<IOCI
JEL000 30"
D2PCNSICN 0ATC1<4I.DATC2<4I OATA UINC.1 / *N * . *NNC * . *N C '.CNE'.'C
t 'ESC* SE * 35E*
JELC0C40 * . JCLOOCSO
fSW ,.SW ' .'WSW* .'W ,WNW*.NW '.NNWV
` JEL00C60
FATA XD /`L'/
DATA NN / 3CO*0 /
CALL OPEN *< 3 ,*9 J*3C1*1L5C1*2E71c*3'h 3ATA 'Vl2. OUTPUT * TSO 'rRTFI
30 CC 20 I=1.3C0
NN (II = 0__________________________ _______________ ___
DC 21J:i.i6
*
JEL00C70 JCLC0C80
"I JELD0290* JELC0100 JEL00110
------JCLCO120
xxxtJ.l) -O.o
- - - -- --:
JCL00130
__ 21 CONTINUE_________ ' '
23 CONTINUE WPITE <6.2CCI
_233 rCRNAT C IX PART.IC._f ILt*
`-------- ----------- ,-----_
JCLC0140 JELOOl SC ' JEL00160 JEL00170
"C ALL ROOPEN(8.IPILO.12."INPUT *BCTtRTNI
JCLC0180"
WRITE <6.2011 2C1 FORMAT ClX_._MfI_HO Flj-E* l_
_ _______________-
JEL00190 JELCOrCC
CALL ROOPEMI3. IF ILT .12.*INPUT.80.IRTTI
* JELOO'IC*
READ IS.1C8) <STAT<I1 .1=1.41
JEL CO 220
__RE AO (3.1C31 (0ATE1CI1.I-1.A1_________________
JEL00230
"ICS FORMAT '* A4I.......... ..
* . "
JELC0240-
1 READ <3.1311 PART
,
JELCC250
_101 F CRM AT <F1C.0I___________ - '
.... ' . . .
JELC0260
00 16 J=1.16
SUMJl = 0.0
____ AVE<J1_=_0.0________________________ ____________________________
srsufKJ! ="b.o
.
JEL00270" JELC0230 JEL00230 ----- 3ELC0300-
IS STC0IJ1 = 0.0
JELC0310
______ IF < P AR T__. L T ._0j. 01 GO TO 7
RE AO <3.1161 XID~
_________
~-
JEL00320
--jrurann"
116 FORMAT <A11
____ IF (XID .E3. XO) CO TO 3_________ ____
IW'Y <T "
'
2 READ <9.1031 <NVlN0UIl.N=1.241 , . ..i,
JELCO 140 JEL003S0 JEL 00160 " JEL00370
103 FCRMAT_<2jtl_31_______ ;________ . ' IF <PAST EO . 0.01 GC TO 1
JELC0I80 JEL00330 "
rc 15 N=1.23 ____XUINDINI = FLCAT<MUIN0<NH ________ __
'lF'<XWIND<Nl .LT. C^Of'GO TO 1 J = IFIX<1.5 <<XWINC<H1/3SC.1*160.11 ___ IF <J .GJ. 161 J=1_____________
JELC04C0 JEL0041Q JELOC4 20-
JELC0433 JEL004 40
15 " WINC <n1 =wiNOR <"jl"
GO TO 3
JELC0450 JEL00460
IN = 1
READ <3.1331 <UINCINl.N=1.241 1C4 FORMAT <24A2l
.
JEL004T0 ~JEL0048C JELC0490
IF < PART_ 0. 0.01 GO TO 13 DC S' N=1.Z4
00 9 J=1.16 ___ IF < WIND! M .Ed. VINORIJII GO TO 6
9 CONTINUE GO TC 1
6.If,,<PARX..E3. 0. 1 CC TO_5_
JEL00530 JEL CO 510 JEL0OS20 JELC0E30 JEL00540" ' JEL00E50 _ JEL0 0560
NN < J 1 = NN< Jl ' 1
''JEL00E70"
XXXIJ.NN<J11=AL0G<PART1
5 CONTINUE__________;_
GO TO 1
7 CC 11 J=1.1E
NTN_= NN< Jl__
___
IT <NIN .EQ. 0) GC TO 11
CO 10 JJ=1.NIN
_10 _SUH< J1_=_SUK< Jl_. XXXtJ.JJl_
AV< Jl = SUM IJ l/FLCATI NN I J~11
11 CONTINUE
EO 13 J=1.16
NIN = NN< Jl
IF <NIN EJ. Cl G3 TC 13
CC 12 JJ-l.NIN
12 SD5UMIJ1 : SDSUM(J) <A3S<XXX<J.JJ1-AVEIJ11 12.0
JEL0C583 JELC0E90 JSL0C6d0" JELCOE 10 JELC0S20 JELCOE 30 " JEL00640 JELC0C50
JEL0 0S6Q JELCC670 JELC0630 EIELC0E90jrL007D0 JEL00710 JEL00720
STDO < Jl = EXP < <SDCUN<J1/IFL0AT <NN<Jl1-1.011**.51
_ AVE < JI = EXPIAVEIJll___
___
JEL CC 7 30 JELC0740
13 CONTINUE
JEL00750
READ I8.1C81 <DATE2III.1-1.41
JELCC760
__WRITE <3.1191 ISTATIIl.1 = 1.41.IOATEKII.1=1,41.<CATr2III .1=1 41 JEL0C770
11C rCRMAT 117 </115X . * .....CITY SAMPLING STATION -- *.4A4/, 16X. AM3 TEJELCO 790 "
NT LEVEL CF PARTICULATES <MIC.C./CU.M.1V.13X.4A4. TO * . 4 A4 ///5XJEL00790
..WIND OIRECTION* .4X, *N2. OF HRS . * . 2X . CEOM . KEAH*,2X.*C EO ST erv *jclcoeoo
/I JEL00310
CO 14 1=1.16
JEL 00820
_ 14 WRITE <3.1111 WINCR<I1.NN<I).AVE<II.STD0<I1
_JEL0C330
111 r CRH A T <lCX.A3.12X.I2.3X.EG.li4X.rS.il
JEL 00840
VRITC <6.112)
JEL0C850
CrCARLMLATYES1N*C7 0<0*YYEOUS*W.tIlSlH TC CONTINUE IN SAME -FIL-E7M .
jrL00360 JELC087C
VITC <3.2131
JEL00930
213 pcrmat <ie</n _______ ___
_
JEL CO P90
WRITS <6.1131 "
.............................
JCL00900
1U rCRNAT I ? CO TOU WISH TO CONTINUE IN NCW FILE?*)
JELOmiO
PALL YESNC <*VES* .5201
JEl rrjozo
STOP '
JELCCT30
END JEL 00040
LAM 025520 ABS-035526
DIMENSION IFIL0(3)rIFILT(3)STAT(4)
JELCDC10
DIMENSION IARRAY(30) tlPCNTA(lS) .IPCNTU5) tFARRAY (30.1CJ, IXAXTS( IS)JEL03C20
DIMENSION FREQ (30 J t AFR.C( 7)"
.......
-' ' JEL00C30
DIMENSION WINDR(16)WIND(24) NWIN0(Z4),XWIND(24),SUM(1S),AVf(16 ) JELO 00 40
.DIMENSION S CSUM(16) tSTDC( IE) *XX_X(1630C) NN(3D0J
__ JELC0C50
DIMENSION CATEK4) 0ATE2(Vj
.......
*----------------------------- JELODCGO
DATA WINDR /N **NNE,.'NE **,EKEt,E '*ESE* SE
*JELCO C7C
*SSW*t SW fWSW*i
ftVNU*i*NU
JEL0GD3C
' DATA FREQ" / 30*
V
OATA EXE S 3L ANK / xxx
DATA AFREC /'GO* * _
*/ 4CX __
*_t_*20*______
' JELCGC90 JEL0G10C
CX JELCO11C
DATA XD 7L/.................
'
"
DATA NN / 3CG*C /
CALL OPEN t 3t * JELFILE DATA* 12 <CUTP'JT*80IRTF)
30 DO 20 I = lt30Q.......... . ............
...............
NN(I) = 0
...... JELO0120 JELG013G JELCO14G
` JELC315G JELC01SC
DO 21 J=l16
JELQD170
XXXCJtll -C.o'
.....................
' .................... .
JEL0C18D
21 CONTINUE 20 CONTINUE
_ __
-_
JEL0C13C JEL002G0
WRITE (6.200) ........................
.... .............. ..
....................
JEL0021C
2C0 FORMAT (lXt'PARTIC. FILE*)
JELCC220
CALL RDCPENt 3tIFlL0t12* INPUT80tIRTNJ
JEL0D23G
WRITE (S 2C1)
JELC024G
*.01 FORMAT (lXr'WIND FILE') CALL RDCPEN( 3IFILT12 * * INPUT 1f 30 IRTT)
JELGQ25C JEL002SG
READ (81C6) (STAT(I)1-1*4)
"
JELC027C
READ (31 ID 3 ) CDATE1(I>* 1-114)
JEL0Q28G
108 FORMAT (4A4)
1 READ (3tlCl) PART 1G1 FORMAT (R10.GJ
__________ ......................... ...
_ ___ .....
JELC0290 ...... JEL0030C
JELC021G
DC 1G J=l16 _
SUM (J) = C.O
................... - - -........... - ..........
JELOC32C JEL CO 330
AVEIJ) = C.C
JELC034C
SDSUM(J J = G.O
JELC035C
16 STDO(J) = 0.0 Ir (FART .LT. C.O] GO TO 7
JEL0G3S0 JELCO370
READ (9113J XID
lie format cai j ..................................................... - -
JELQC33C JELC03SC
IF CXID .3. XD) GO TO 3
JELQC40C
IN = 0
:JEir0410
2 READ ( 913 3) (NWIND(N)tN=1124).................
jfL0042C
103 FORMAT (2m3)
JELCG43C
IF (PART .EG. 0.0) GO TO 1
JELO044C
CC 15 N=l24
JELCC45C
XWIND(N) = FLOAT(MWIND(N))
JEL0G4G[
IF (XVJIND(N) .LT. O.C) CO TO 1
JELC04 7C
J = IFIX(1.5 + ((XW1NC(N)/36D.)*1G0.))
JELC048C
IF (J .GT. 16) J-1
15 WIND(N) =Wi:JDR(JJ
PC TO 4
..................... - -........... -
LAM 025521
JELO043t JELCOECt JELC DEli
3 IN = 1
JELCCE2C
READ (9*134) (WlN0(N)#N-l24)
JELO G5 3(
104 TCRM AT (24 A3) IT (PART *E3. C.O) GO TO 1
ABS-035527
JELCO E 4(
JELOOS 5! ,in rn"r,:
f+fS 0 J-J f 1 6
JCLC0570
TF CWIMO(N) .EC. WINDR(JJ) CO TO 6
CONTINUE
_
_______________ _
GC TC 1 6 NN(J) = NN(J ) 1
. XXX C JNN( J) ) = PART__________ ________
*5 CONTINUE'
CO TO 1
7 CO 11 _J=1.16 _ ________________________...____ ______ _____________________________
NIN = NN(J)
IF (NIN .EQ. 0) 30 TO 11
DC 10 JJ=1.NIN_
. ________ ____________ _______ ______ ___
10 SUN(J) ' = SUM(J f + XXX(JtJJ)
AVE(J) = SUK(J)/FLCAT(NN(J1I
11 CONTINUE
. __________ .
CC 13 J=i*16
_______________________ _________ _
NIN = NN(J) IF (NIN E3 C) GO TO 13
_____
00 12 JJ=i*NIN 12 SC SUM(J) = SDSUM(J) + ( ASS (XXX (J* JJ)-AVE ( J) ) ) *2.0
STDD(J) = (SDSUM(J)/FLOAT(NN( J) n**.^__________ ___________
13 CONTINUE
.................. "
.................... "
' ..... ............... ..
JELC0E80 JEL0059C Jelcoeoo JEL0C610 JELG0E20 JELC0S3C JELCCE40 JELGCS50_ JELCOGSG JEL30S70 JELCQC80 JELCDS 90 JELC07C0 JELC0710 JELCO720 JELCQ73C JELC0740_ JEL00750 JELCG7G0 JEL0077C JELC078C
READ ( 3* 10 S) ( OATS21 I) *.T=1 4 ) WRITE (3*110 (ST AT(I)1=1*4J (DATE 1(1)*1=1*4)*(DATE2(I)* 1=1*4 )
JELQD79C JELC03CC
lio FORMAT (2o(/)fl5X* "" CITY SAMPLING STATION -- 4A4/1SX**AM3TEJELCG31C
NT LEVEL CF PARTICULATES (MIC.G./CU-M.)V . 1SX4A4 TO *4A4///5XJELOC82C
'WIND DIRECTI0N4Xt VNC. OF HRS_ * 5X * * MEAN ' * 5X *_'STD . DEV.V)
JEL0033C
"be 14 1=1.16 ................... ' ................ ...
" "......................................... ".......... JELC0240
14 WRITE (3.111) WINCR(I)* NN(I).AVE(I)STDD(I)
JEL00350
111 FORMAT (1CX.A312X.I3*9XF6.1.4X*F5.1)
__
JELCC36C
IX AX IS (1) = 0
"""" '
' " .... ............... . ' ' ' JEL00870
DO 29 1=2.15
JELC3SSC
_2j3 IXAXIS (I_) = IXAXISl 1-1) _20__
JEL0C330
DO 5C" LL='l 2.6
""
~
........
*'
"'JELG09CC
NIN = NN(LL)
JELQ0310
DC 32 1=13C _
JELCC92C
I ARRAY (I) = C ........................." ' DC 31 J = 1* 15
.......................................................
............... JEL0033C JELCO34C
FARRAY(IJ)= ELANK
. _ JELCC35G
31 CONTINUE ................................... ............ .......
' ............
' ........... JELC03G0
32 CONTINUE
JEL00370
__L = 0____
_________________________ ________
"DO 33 I = 1 * 3 C * 5 * ......
"" `
L=L + 1
33 FRE3(I ) = AFRI3(L)
_ .....................................
JELC0990 " JELQ033C
rJELCUTOC
JELD1C1C
ITCTAL = C .......................... ..................
JELC1020
DO 40 KL=1NIN
JELC1030
X = XXX (LL.KL )
JELC1C4C
........IF (X .EQ. D.C) GO fO 4C INN = IFIX((X/20.J+l.Cl
JEL01C50 JELC1C6G
_ Ir (INN .EQ. 0) INN=1
___
IF (INN .CT. 15)" INN = 15
LAM 025522
JILO ID 70 JEL ClG8D'
IARRAY(INN) = IATRAY(INN) 1
JELO1C 30
40 CONTINUE
JELC11G0
DC 41 J=l15 41 TTCTAL = lARRAY(J) + ITOTAL
JILC1110 JELC112G
DO 42 JJ=115
ABS-035528
JELC1130
XX = FLOAT(lARRAY(JJ)>
YY - FLOAT11 TOTAL J
IF (YY .EC. C.) YY = 1
RCN - ((XX/YY)*100.)/2
TFCNTACJJJ = IFIX(PCN J IF (IPCNTA(JJ) .EQ C .AND. RCN .NE. 0.) IPCNTA(JJ) =1
IFCNT(JJ) = 30 - IPCNTA (J J)
IJ = 30 43 IF (_IJ E3. IPCNT(JJ)) SC T 44 ............................................. ...........
FAR R A Y (IJ J J) = EXES
IJ = IJ - 1 IF (IJ .EO. C) GO TO 44
.......... ................................................
JELC114C JELO1150 JELC116C JEL0117C JELC11SC JEL0119C JELC120G JELO1210 JELC122C JELC123C JELQ1240 JEL01250
GO TO '43 44 CONTINUE _4 2
WRITE (3 119)
(ST AT(I)*1-1*4)(DATEl(I)I=14)*(0ATE2(I)*I-1*4)
JELO1200 JEL 012 70 JEL0123C JELG129C
113 FORMAT (18(/)fl4Xf _*C * t4A4)
CITY SAMPLING STATION -- '4A4/1SX.4A4 ... ......................
WRITE (3 115) WlNCR(LL) 115 FORMAT (25X*WIND DIRECTION -- **A4/*18X*'FREQUENCY DISTRIBUTION
*F FART. CC-NC. '///) _
........... ................ .................. ...... ..................... ..
'T JELO1300 JEL 01710 JELO1320
0JELC173C JELO1340
DC 45 IJ = 1*30 45 WRITE (3*118) FREO(IJ)(FARRAY(IJJJ)*JJ=115)
' JEL01Z5C JEL01360
118 FORMAT (IX*A4+*14(A3.1H*)A3*+*)....................
JEL0137C
.......... WRITE (3*117) (IXAXISlI)*1=1*15)
` JELO1330
117 rCRMAT (2X15I4,1X *>23CV2CX.'CONCENTRATION-(MIC.G./CU.M.)')
50 CONTINUE........................... .........
......... . . .... _ .________ ______ 1 .....................
WRITE'(3*332)
FORMAT (91/3 )
WRITE (S.113J
113 FORMAT ( '? DO YOU WISH TO CONTINUE IN NEW FILE?') CALL YESNC ('YES'*830
STOP _____ ______ _________ . . . _______ ________________________-------------- --------------------
END
JELC139C JELO1400 " JELC1410 JELO1420 JELC1430 JELC14 40 JEL01450 JEL01460 `JELC1470
LAN1 025523 i ABS-035529
LAM 025524
-o
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LAM 025525
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ABS-035530
-- ti
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sSi: sssi:
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LAM 025526
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ABS-035531
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LAM 025527
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ABS-035532 : : : s
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LAM 025528
zc zmt >
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ABS-035533
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LAM 025529
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ABS-035534
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LAM 025530
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