Article
Volume 2, Number 1, June 2009
ISSN 1995-6681
Pages 1 -6
Jordan Journal of Earth and Environmental Sciences
Diurnal and Seasonal Variation of Air Pollution at Al-Hashimeya
Sana'a Abed El-Raoof Odat *
Department of Earth Science and Environment, Faculty of Natural Resources and Environment,Hashemite University, Jordan
Abstract
This study aimed at using the statistical methods to assess air quality at Al-Hashimeya town in Zarqa Governorate. Three main sources
himeya are contributing to air pollution; Jordan Petroleum Refinery, Al-Hussein Thermal Power
Station, and Assamra waste water treatment plant. Reports and data relating to pollution in al-Hashimeya were collected from different sources that measured the level of pollution in this area during spring season of the year 1992. Sets of data were processed, using statistical analysis. The results of the study indicated that Jordan Petroleum Refinery and al-Hussein Thermal Power Station were the two main sources of SO2 because of the combustion of fuel that contains sulphur and SO2 concentration that violated Jordanian standards. The study also showed that Assamra Station was the main source of H2S
and its concentration had exceeded the Jordanian standards throughout the monitoring months. CO and NOx concentrations
were within Jordanian standard. Ozone was in violation of Jordanian standards in more than 90% of the field measurements. Examination of the levels of TSP has shown that they exceeded the national standards with different degr
conditions (air Temperature, wind speed, rainfall, wind direction, cloud and relative humidity) have contributed to the high levels of air pollution.
2009 Jordan Journal of Earth and Environmental Sciences. All rights reserved
Keywords: Statistical Analysis; Air Pollution; ANOVA; SO2; TSP; CO.
Different studies have been performed to understand
source and level of air pollu n in Al-Hashimeya. Most
1. Introduction*
studies are restricted to water and soil .This study aims to use statistical analysis to give both qualitativ
In the last 200 ye
the growth in the world
quantitative information about air pollution for the primar
population and the industrial revolution has resulted in an
study for Al-Hashimeya during spring season in the year
increased demand for energy. Until now these energy
1992, and to determine the impact of polluti
requirements have been supplied largely by the
parameters (wind speed, wind
direction, temperature,
combustion of fossil fuels, the plant's resources of
rainfall, solar radiation and relative humidity) on the
conventional carbonaceous fuel, coal, and oil, have been
behaviour of noxious gases in this town.
used for heating purposes, power industry, transport and synthesis of chemicals. The by-products of these
2. Methodology
operations (particulates, the oxides of carbon, nitrogen and sulphur) have been emitted to the atmosphere in enormous
2.1. Study Site
quantities (Reida and John, 1988). Air becomes polluted when it contains substances in quantities that could harm
Al-Hashimeya area is located north of Zarqa city, 35km
the comfort or health of both humans and animals, or
northeast of Amman It is bounded by Longitude 36° 04′ to
could damage plants or materials. These substances are
39º 09′ east and Latitude 32º 04′ to 32 10 north (F
called air pollutants and can be solid particles, liquid
This town is the most polluted city in Jordan. The air
droplets or gases, and they occur naturally or as a result of
pollution has resulted from many factories and companies
human activity (Seinfeld, 1985).
in the area .Potential air pollution sources include, Jordan
Al-Hashimeya area is located north to Zarqa city about
Oil Refinery, Khirbit Al-Samra Waste water treatment
35km northeast to Amman. This town is the most polluted
plant and Al-Hussein Thermal Power station. These
city in Jordan; the air pollution has resulted from many
sources are called "Triangle of Pollution". And every one
factories and companies in the area, most important of
of these has a different impact on air quality. A
which are Jordan Petroleum Refinery, al-Hussein Thermal
Mediterranean type climate is dominant in Al- Hashimey
Power Station, and Assamra wastewater treatment plant.
town which is characterized by hot and dry cond
summer and lack of rain in winter. The average annual ra
of rainfall is 142 mm. The low precipitation rate
the air quality in Al-Hashimeya because rain is natural
* Corresponding author.
2009 Jordan Journal of Earth and Environmental Sciences . All rights reserved - Volume 1, Number 2 (ISSN 1995-6681)
Figure 1. the Location of the Study Area.
processes that help washing out soluble substances
Table1. Monitoring sites and their position from pollution sources
from the air (Shehadeh and Noaman, 1991).
in Al-Hashimeya.
2.2. Data Collection
Distance and direction of station
Monitoring sites
There have been several stud
from pollution sources
Royal Scientific Society (RSS) and the Ministry of
6 km south west from SWTP
Environment to monitor basic pollutants in the area during
IBN EL Anbary School
0.5 km north from HTPS
1992 (Table 1 and Fig.1). Instruments installed in the
1.5km east from JOR
monitoring sites sample ambient air continuously and analyze it automatically, (Table 2 illustrate the
3 km from al hashymia town
5.5km southwest from SWTP
2.3. Preparing for Data Analysis
0.5 km south /southeast fro
The yearly mean concentra
tion of s ven criteria
2km southeast from JOR
pollutants PM10,, TSP, CO, NOx SO2, H2S and Pb was
4 km west from SWTP
used obtained from unpublished sources (RSS). Missing
ELEMENTARY SCHOOL
values were substituted. If the value was missing, for
SECONDARY SCHOOL
1 km northeast from JOR
example, for a particular year, then it was substituted by taking the average of the preceding and succeeding years.
ELECTRICAL TRAINING
0.5 km south from HTPS
was done to preserve the seasonal patterns (as
opposed to the effect of the procedure of substituting by
Main highway of Irbid- Al
the annual average.).
POLICE STATION/ZARQA
Main highway Zarqa Amman
2.4. Statistical Methods
2km south east from SWTP
to deal with data, using
2 km north from HTPS
the statistical package (SPSS) version 11 and JMP and
2km northeast from JOR
2 km from south east from
JMP IN Software version 4. The descriptive statistics of
E. SCHOOL/ KHERBEH
6.8 km from northeast HTPS
the variables: Mean, standard deviation, median and others
7 km northeast from JOR
of dependent variable were calculated, student t-test detect
2 km south /southwest fro
for significant between pairs of a variable (p<0.05)
unpaired data, One-way-ANOVA and Two-way ANOVAs
2.5 km north from HTPS
were used to results.
3km from northeast JOR
2009 Jordan Journal of Earth and Environmental Sciences . All rights reserved - Volume 1, Number 2 (ISSN 1995-6681)
3. Result
3.2. Diurnal and monthly variation of Sulphur dioxide (SO2)
The average of SO
3.1. Univariate Statistical Analysis
2 concentrations at Al- Hashimeya
region registered was 0.062 ppm. This average exceeded
The first step in the data analysis involved the
the Jordanian standards and the directions of WHO for 46
s (e.g. Minimum, Maximum,
days out of 80 sampled days. The highest monthly average
Mean, Medians and Standard de
shown in (Table
for SO2 was 0.071 ppm for April. The average was yet
3). These statistics are useful in the description of the
similar to March and May 0.059ppm. This rise of the
distribution and to know the degree of pollution in the air.
concentrations in April is due to the low air temperatures,
The concentrations of pollutants were compared with
humidity, lack of rainfall, and the lack of Ozone (O3
standard values recommended by WHO (Table 4).
helps a lot in the process of SO2 removal through
Table 2. Instruments and their uses.
oxidization. It was noted that the levels of concentrations were not affected during we
ekends and other formal
Instruments name
Sulphure Dioxide Analyser
Analyse Sulphure Dioxide
Table 3. Minimum ,Maximum ,Mean and St. Dev. of pollutants at
Hydrogen Sulfide Analyser
Analyse Hydrogen Sulfide
Al -Hashimeya in 1992
Carbon Monoxide Analyser
Carbon Monoxide continuously
Minimum Maximum Mean St. Dev.
Non- Dispersive Infrared
High Volume Sampler with
Selective PM10 Inlet,
Portable Calibrator
Calibrate instruments of pollutants
Permeation Oven.
Wind Recorder Mechanical. Measured of wind direction and
Table 4 . Monthly average of pollutants and no. of exceeding according to WHO standard for 1992.
f pollutants and no. of
Average monthly of SO2
0.059 0.071 0.056
Number of exceeding
Average monthly of TSP
183.25 169.7 221.8
Number of exceeding
Average monthly of H2S
0.006 0.006 0.007
Number of exceeding
Average monthly of O3 (ppm)
Number of exceeding
3.3. Diurnal and Monthly Variation of Hydrogen Sulphide (H2
The Concentrations of H2S for all monitoring days
ranged from 0.002 -0.030 ppm with mean of 0.0064 ppm and standard deviation of 0.004. This average exceeds WHO standards. Royal Scientific Society (RSS) recorded 33 violations of the standards in 88 days, with 28% of all samples. The Average Concentrations of H2S in May was 0.007 ppm with 15 violations, i.e., 50% of the total samples. This average decreased in March to 0.006 ppm with 12 violations that gave rise to 43% of the total, and this monthly average is the same as in April but with about 6 days, (Table.3).
3.4. Diurnal and Mo
y Variation
of Ozone (O3)
Figure 2. Concentration of O3 and WHO Standard at Al-
The Concentrations of O
ashimeya in 1992.
3 vary between 0.0 -0.65 ppm
with a mean value that equals 0.074 ppm and a standard
The Average Concentrations of O3 in March was 0.07
deviation of about 0.082. This average exceeds WHO
ppm in 28 days ,i.e., 100% , but the concentration
standards. It violated the standard 46 times out of 51 days,
decreased in April to 0.06 ppm , 18 sample exceeded
which means that the violation is 90% from all the
standards, that mean 78% of the samples in this month
samples (Figure 2).
.The high concentration of O3 might correspond to increases in sunlight that helps nitrogen oxides and
2009 Jordan Journal of Earth and Environmental Sciences . All rights reserved - Volume 1, Number 2 (ISSN 1995-6681)
volatile organic compounds reacting with each other to form photochemical oxidants (also known as photochemical smog) of which ozone is the principal component. Whereas the values ranged in April between 0.030 - 0.084 ppm, (Table 3).
3.5. Diurnal And Monthly Variation of Total Suspended Particles (TSP):-
The monthly average of Total Suspended Particles
(TSP) exceeded the 120 µg/m³ ppm WHO Standard days out of 31 day i.e. 77%. The average concentrations of TSP in May reached 221.8 µg/m³ ppm with 12 days violations, 92 %, this is due to low wind speed and humidity and west wind direction. In April, the average exceeded WHO standards with a mean value of about 169.7 µg/m³ ppm with 8 days violation, i.e., 80%. But in
Figure 4. Variation in TSP levels at Al- Hashimeya and Um Suleh
March the average monthly of TSP reached to 138.25
µg/m³ ppm with 4 days that reach ed to 50% of all the samples (Figure 3). The average exceeds WHO standards
4. the Factors Affecting the Concentration of Air
with a mean value of about (84.4 µg/m³) with 37 days
Pollutants At Al –Hashimeya
violate from all the samples.
Meteorology plays a great role in influenc
pollutants at Al-Hashimeya ,where the total explanation caused by these factors reach 43% of the percentage
pollution during spring season (March ,April and May).This percentage varies from 22% in March to 52% in April and 21% in May.
4.1. Meteorological Impact on SO2 Concentration:-
(Table 5) shows the most important metrological
factors that influenced SO2 concentration in the air. These factors explained 37% of dissimilarity in March, 84% in April and 29% in May.
Table 5. Metrological Factors affect on the Concentration of SO2 at Al-Hashimeya in 1992.
Variables R² R² Correlation Significant
Figure 3. Concentration of TSP and WHO Standard at Al-
Adjusted coefficient
Hashimeya in 1992.
The highest monthly average of TSP is that of May at
ranges from 108 – 455 µg/m³ ppm, and the lowest average
April Temperature 0.58
was found in March which ranged from 56 – 352 µg/m³,
and this concentrations exceeds WHO standards. In April, it was 62 –316 μg/m³. These percentages exceed the
international standards. This is more obvious when we
compare these results with Umm Soleh, 3kms far from the study area. Studies indicate that the percentage of
concentrations reached one third of the total percentage
i.e., 38% of the whole exceedings.
Figure (4) shows that the comparison of the TSP
concentration in Ibn el-anbari (inside Al- Hashimeya area)
and Um Suleh, (far 3Km west from Al- Hashimeya). TSP concentration in Ibn el-anbari is higher and exceeds to
one-third, compared to Um suleh.
3.6. Diurnal and Monthly Variation of Carbon Monoxide (CO)
4.2. Metrological Impact on H2S Concentration:-
Levels of this gas were low at the observance period,
The most important meteorological factors that affected
where it didn't exceed WHO standards, 9 ppm i.e., 8 hours
the H2S concentration in spring was Wind Direction. Calm
as an average in the light of the day where the highest
winds are prevailing in Al –Hashimeya region, 38.6%.
concentration of this gas reached 5 ppm in April.
Also West winds blow on the region in 31.8%, south winds with 18.2% .The Eastern winds blow reached 2.3%, southeast reached 4.5%, southwest 2.3% and northwest reached 1.1%.
2009 Jordan Journal of Earth and Environmental Sciences . All rights reserved - Volume 1, Number 2 (ISSN 1995-6681)
Clearly, winds play a big role in affecting the
4.4. Metrological Impact on TSP Concentration:-
percentage of H2S gas ,14% of distraction in H2S value
The main factors affecting TSP are temperature and
with -0.32 negative correlated with coefficient value are
clouds (Table 8). The mean average of temperature at Al –
explained at 99% reliability (Table 6). This relation is
Hashimeya is approximately 17.3 Cº with a maximum
mainly due to the increase in the percentage of calm
value of 29.30 Cº and a minimum of 7.2Cº. Thus such
winds, and west winds, which increased the air pollution
temperatures have an effect on on the concentration of
level in the study area, wind in carrying these pollutants
TSP. It therefore explains 22% of the dissimilarity in the
from their resources (Petroluem Refinery and Al-Sammra
values of this gas with a negative correlation coefficient –
station) to the sampling location.
0.50. The reason behind the negative correlation is that
It is clear that the speed of the wind plays a big role in
high temperatures enhance convection currents, which
increasing the H2S concentrations in March. It explains
helps in good air mixing and reducing TSP concentration
31% of the dissimilarity of the gas values with a negative
Low air temperatures results in stable atmosphere and
correlation of -0.56 at the 99% significance level. i.e.,
when the wind speed is decreased, the level of air pollution
The amount of clouds affects the percentage of TSP
is increased in Al-Hashimeya.
concentration; it explains 14% of dissimilarity in the
The average relative humidity in Al –Hashimeya is
values of TSP at a positive correlation of 0.37 at 99 % .
approximately 81.3% for the month of April. Humidity is
Table 8: Metrological Factors that Affect the Increase Of TSP in
an important factors that decreases the H2S concentration.
It explains 27% of the dissimilarity in the gas value with a negative correlation –0.52, at 99% of confidence. When
Variables R² R² Correlation Significant
Adjusted coefficient
there is an increase in relative humidity in the atmosphere, the concentration value decreases. The negative correlation
is attributed to the role of humidity in increasing the
chemical interactions for the gases and water vapour in
order to form droplets, as well as forming the
photochemical smog .
Table 6. most important metrological factors that affect the increase of H2S in the air.
5. Discussion
Month Variables R²
R² Correlation Significant
It is observed that the main sources of Sulphur dioxide
Adjusted Coefficient
emissions in Al- Hashimeya town are Jordanian Petroleum
March Wind 0.31 0.31
Refinery and Al –Hussein Ther
mal Power station due to
burning heavy fuel oil with high
Sulphur content. It was
also noticed that the areas located north, northeas
southeast are mainly affected by SO2 emissions from the
refinery, as Al-Husain station's influence is low in
comparison with the refinery because the prevailing winds
in Al-Hashimeya region are west headed. The study also
showed that Assamra Station is the main source for the
Months Direction
emanation of H2S and the density of this gas has
the Jordanian standards in this respect throughout the monitoring months whereas the levels of nitrogen oxides
4.3. Metrological Impacts on Ozone Concentration
and CO concentrations are low in the ambient air in this
Humidity is considered among the meteorological
town, but for TSP the concentration is high and it exc
factors that influences O3 concentration. It explains 22% of
the WHO standards.
the dissimilarity in the gas value with a negative
Results have proved that the high concentrations of
correlation –0.48, at 99% of confidence (Table 7) . When
TSP were attributed to the prevailing Khamasin winds,
there is an increase in the relative humidity, the O3
which is common in spring, especially in April and May,
concentration decreases, the negative correlation is
in addition to the high temperature and the low averag
attributed to the role of humidity in increasing the
rainfall and low humidity, thus helping responding fugitive
chemical interactions for the gases and acid rain as well as
forming the photochemical smog.
Temperature shows an inverse relation with most of the
Table 7. most important metrological factors that affect the
pollutants because of the role of the heat in warming up
increase of O3 in the air.
the surface of the earth by the oncoming radiation from
sun which strikes the earth and warms it, thus making the
Month Variables R²
Correlation Significant
air that touches it warm and consequently reducing its
Adjusted coefficient
density, so it expands and goes upward to be replaced by
March Relative 0.22 0.22
cold air and so on. This process increases the amounts of
the up going air currents. When the horizontal and vertical air mixing processes increase, they reduce the
May Relative 0.
concentration of the pollutants in it. Further, the decrease in temperature for some pollutants increases the
production of some pollutants due to an increase in the
2009 Jordan Journal of Earth and Environmental Sciences . All rights reserved - Volume 1, Number 2 (ISSN 1995-6681)
burning times and using of the central heating, which
[8] Directorate of Environment in Al- Zarqa.(2000). Reports
results in the increase of these pollutants like NO
about Al-Hashimeya area 2000.
CO. The relation of TSP with temperature is proportional,
[9] Department of public Statistic. (1994 –2004). Unpublished
as the increase in temperature leads to generating more air
currents and shaping vertical winds, thus causing dust and
[10] Al-awdat G. (1992). Air pollution in Jordan. Ministry of
therefore TSP increases in the area. Humidity is low in Al-
environment and municipal Affairs, Department of
Hashimeya city. It's annual rate amount 65% .The process
environment, Amman, Jordan, February.
of humidity decrease leads to more concentrations of gas
Air Quality at Al- Hashimeya area
contaminations and suspended dust in the air, which
Zarqa,Final Reports of 2004 ,2003 , 2002, 2001, 2000, 999,
results from Oil Refinery, Al- Hussien thermal power
1998, 1997, 1996, 1995, 1 994, 1992.Prepared by Royal
station and Al- Kherbh Al- Sammra.
Scientific Society (RRS) to the General CORPORATION
The relation of relative humidity with the concentration
FOR Environmental Production (GCEP).
of the pollutants is proportional relation, which could be
[12] Sall J., Lehman A.,and Lee Creighton. (2001). JMP Start
attributed to the role of the humidity in causing the heat
Statistics, Using JMP and JMP IN Software. Copyright: 2001
discrepancies as the increase of humidity in the
by SAS Institute Inc.Duxbury Thomson LEARNING.
atmosphere reduces the amount of solar radiation that
[13] Jordan Petroleum Refinery. (1960). Report published at the
reaches the earth , and when sunshine collides with these
opening of the company.
drops, then it absorbs these scattered drops in the surro
[14] Jordan Petroleum Refinery. (1991) . Annual reports of
unding atmosphere, so they start to evaporate and
management committee for 1978, 1988 and 1991
launch their embedded heat in the surrounding air, which contr
[15] Metrology Department. (2004). Amman, Unpublished
ibutes in forming heat variations where the air near to
the surface of the earth is becoming colder than that in the
climatic data, ( 1992 –2004).
upper parts, thus reducing the up going air currents and
M nistry of municipal affairs. (1993). Monitoring project of
air pollution in Al- hashimeya ,Foheis and the city town from
dingly increasing the pollutants in the atmosphere.
1st of October ,1991 to 1st February 1993 ,Strategies of Environmental Project in Jordan.
6. Conclusion
[17] Ministry of Health. (1998). the Experience of The Ministry of
The results hav shown that
the observed levels of air
Health In Air Pollution In Amman, 1988 –1989.
pollution exceeded the Jordanian standard for air quality
[18] Ministry of Health. (1987) .Report about Pollution in (HTP)
and the study proved that the effect of meteorological
and (JRS) in Al- hashimeya.
factors play a great role in influencing the air with gases
[19] Ministry of Health. (1983). The Study of the United Nation
and dust in Al – Hashimeya area.
(UN) about Monitoring and Protecting of Air Pollution in Jordan ,1983.Reports of Sewdian Team about air pollution in
Al- Hashimeya area
[20] Ministry of Energy and Mineral Resources. (2002).
S cientific Society, Metrology
Unpublished annual r por
Department, and Ministry of Eenvironment for providing
[21] Ministry of Environment. (1999). Unpublished annual report.
us with the data used in this study .
[22] Ministry of Environment.(2003). Unpublished annual report.
References
[23] Ministry of Health. (1973) .Management of licensing
vehicles, unpublished annual report.
[1] AARC (Al-Urdun Al-Jadid Research Center), (2001).The
[24] Municipality of Al-Hashimeya. (2003). Reports about Al-
State of Environment in Jordan, Annual Report.
Hashimeya pollution 2003.
[2] Al- Sammra, J., (1974). A seminar on pollution in the Arab
[25] Reida B, and kutzach J,(1988) . Air pollution, Univer
world ,(22/4 -25/4/1974) Arab countries corporation,the
Winsconsin mades on association of American geographers,
scientific,cultural and educational committee ,Cairo (1974).
[3] Al- Hussein Thermal Plant. (2001). Report for Air Quality
[26] Royal Scientific Society.(1990). Hydrogen sulphide pollution
Monitoring for the Selected Site of As samra Power Project
in populated Areas of Al- Hashimeya Town ship. Amman,
at Al- Hashimeya 2001.
[4] Al-Hasan A., (1986-1990). Air pollution monitoring in
[27] Royal Scientific Society (RSS).(1990) . Air pollution in
amman . Environmental research center, Royal scientific
Amman, 1986 –1990.
society, Amman, Jordan.
[28] Royal Training course on air pollution. (1992). selected
[5] Box, G.E.P., Jenkins, G.M., and Reinsel, G.C. (1994). Time
presentations, world health organization (WHO), Ea
Series Analysis Forecasting and Control. (3rd Edition).
Mediterranean regional Office, Royal center for
Prentice Hall Press, Englewood Cliffs, New Jersey.
environmental health activities (RCHA), Amman, Jordan., pp
[6] Burnett, R.T., et al.(1999). Effects of particulate and gaseous
air pollution on cardio respiratory hospitalisation. Arch.
[29] Seinfed ,J.L.,and Pandis. (1998). Atmospheric Chemistry and
Environ. Health, 130.
Physics from Air Pollution to climate change ;John Wiley
[7] Department of Statistics. (2004), Reports about Al-
and sons: New York ,pp 74 –75,1056 –1057.
Hashimeya area 1997,1994 and 2004.
Source: http://jjees.hu.edu.jo/files/v2n1/1.pdf
Empirical calibration Martijn J. Schuemie, Marc A. Suchard In observational studies, there is always the possibility that an effect size estimate is biased. This can betrue even for advanced, well thought out study designs, because of unmeasured or unmodeled confounding.Negative controls (test-hypotheses where the exposure is not believed to cause the outcome) can be usedto detect the potential for bias in a study, and with enough negative controls we can start to estimatethe systematic error distribution inherent in an observational analysis. We can then use this estimateddistribution to compute a calibrated p-value, which reflects the probability of observing an effect size estimate
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