A Synergy of Geographic Information System in the Investigation of
Air Pollution Caused by Automobiles in Mueang Chon Buri and
Sriracha Districts, Chon Buri Province, Thailand
PICHITPORN PHOLGERDDEE*, PIYANAT NATCHABUNYAWAT, SIRIMA SOMWONG,
THANACHOT SUNTHONWONGSAKUN
Faculty of Geoinformatics,
Burapha University,
169 LonghadBangsaen Road, Saensuk, Mueang, Chon Buri Province, 20131,
THAILAND
*Corresponding Author
Abstract: - This research aims to examine the distribution and factors contributing to air pollution caused by
automobiles, analyze areas at risk of air pollution, and investigate the effects of air pollution caused by
automobiles in Mueang Chon Buri District, and Sriracha District, Chon Buri Province by applying the
Geographic Information System (GIS) to estimate the interpolation and Inverse Distance Weighted (IDW)
methods. In the research process, the researchers used the location data of 3 Air Quality Monitoring stations in
Chon Buri Province, namely the air quality monitoring stations in ThungSukla Subdistrict, Bowin Subdistrict,
and Ban Suan Subdistrict, and employed the data on gases that cause air pollution, two types of gases, carbon
monoxide sulfur dioxide for the result analysis and evaluation. It is found that the entire district of Mueang
Chon Buri and Sriracha District has a total area of approximately 879.364 square kilometers wherein the
distribution of carbon monoxide gas and sulfur dioxide is found in large quantities. In addition, the analysis of
air pollution risky areas in both districts indicates that there are sources of air pollution scattered along traffic
lights, intersections, 80 intersections, 13 parking lots, 90 garages, 281 industrial factories, 156 major roads, and
5,866 minor roads, while the most affected by air pollution are health and environmental impacts (𝑥 = 3.55).
Key-Words: - Air pollution, Automobiles, Geographic Information System
Received: January 29, 2023. Revised: May 16, 2023. Accepted: June 15, 2023. Published: July 10, 2023.
1 Introduction
Currently, Thailand and many countries around the
world are facing air pollution problems. The cause
of air pollution can be caused by nature such as dust
problems from wind storms, volcanic eruptions,
earthquakes, forest fires, and natural gas, and,
another is caused by human actions such as
pollution caused by cars, industries, machinery, and
construction, etc., [1]. However, polluted air caused
by nature has little effect and poses no danger to
humans because the source of the problem is far
away and the amount of pollutants entering the
environment of humans and animals is minimal.
Meanwhile, the pollution caused by human
activities, such as from car exhaust pipes, industrial
plants, production processes, agricultural activities,
and evaporation of some gases caused by solid
waste and waste can cause more harm to humans.
Such pollution will affect human health in a wide
range like allergies, respiratory diseases, and
circulatory diseases which in the long term, it may
cause death, [2].
Chon Buri Province is an economically
important province of Thailand. It is located in the
Eastern Economic Corridor (EEC), having
outstanding physical and social characteristics with
harbors, link of transportation system both by lands,
sea, and air to upgrade the economy and
competitiveness of the country, heading towards
being a center for both trade and investment. In
addition, there are many heavy and light industries
in the area of Chon Buri Province, [3], which may
result in air pollution. In 2022, the results of air
quality measurement in Chon Buri province
indicated that the amount of particulate matter less
than 2.5 microns (PM2.5) is 38 micrograms per cubic
meter (µg/m3), in the moderate quality criteria.
Based on Air Quality Index Measurement Results in
Chon Buri Province of the Office of the
Environment Region 13 (Chon Buri), Pollution
Control Department, it was found that the weather
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in Ban Suan Subdistrict, Mueang Chon Buri District
has a PM2.5 value of 38 micrograms per cubic meter.
As for the results of air quality measurements in
Bowin Subdistrict, Sriracha District, it is 36
micrograms per cubic meter. Like ThungSukla
Subdistrict, Sriracha District, PM2.5 is at 45
micrograms per cubic meter, which is in the
moderate quality criteria according to the criteria of
the Air Quality Index (AQI), [4], and, it tends to
continue to increase and affect human health and
living beings for a long term, [5].
Hence, the present study aims at integrating the
knowledge and efficiency of the Geographic
Information System (GIS) to apply and study the
distribution of air pollution caused by vehicles. The
findings of this study will be useful for investigating
areas at higher risk of pollution in Muang Chon Buri
and Sriracha District Chon Buri Province leading to
an assessment of the impact of various hazards of
pollution. The way GIS works will allow data to be
stored as a database, building data layers to create a
map showing the distribution and a map showing
the areas at risk of air pollution caused by vehicles
more clearly. Also, this research provides useful
information about the distribution and factors
caused by pollution by automobiles. As a result, it is
possible to analyze the risky areas in Sriracha
District and Mueang Chon Buri District, Chon Buri
Province. When there is data on the effects of air
pollution caused by automobiles in the district, it
will allow agencies at the district and provincial
levels to apply it as preventive measures, propose
governmental policies for further solutions, and
regulate stricter control to care for public health as
such.
2 Literature Review
Air pollution refers to an air conditioner that
contains impurities or floating in the air that we
inhale. Even though it may not be visible, such as
dust, natural gas, or pollution from car exhaust
pipes, etc., it is considered a threat to our physical
body that can create a lot of impact and danger to
our health, [6].
Air pollution doesn’t just happen in crowded big
cities or industrial areas conversely, but it can
spread across regions of the country quickly.
According to the World Health Organization
(WHO), air pollution causes up to 7 million deaths
each year, with 9 out of 10 people worldwide
breathing contaminated air each year. With a high
level of pollution constantly entering the body, even
with a strong immune system when inhaling toxic
air for a long time, it also affects the body because
the dust molecules are as small as PM2.5. They can
enter the body easily as they are so tiny that the nose
hairs cannot trap these droplets. It can cause stroke,
heart disease, chronic obstructive pulmonary disease
(COPD), lung cancer, and acute infections of the
upper respiratory tract.
The study, [7], concluded that the causes of air
pollution can be divided into 3 parts:
1. It occurs from daily life activities in the house.
2. It occurs in industrial plants and
transportation.
3. It occurs from natural disasters.
Primarily in this study, most of the problems of
air pollution from transportation vehicles will be
studied which in one automobile can release a lot of
waste both in the form of smoke gas and soot
powder. All of them are air pollutants. Most of the
gas emitted from cars is carbon monoxide (CO), a
pollutant that causes white smoke. It is a colorless,
tasteless, and odorless gas, slightly lighter than
normal air. When inhaled, this gas binds
hemoglobin in the red blood cells, preventing the
transport of oxygen from the lungs to the tissues.
Sulfur dioxide (SO2) is a colorless gas that is not
flammable at high concentrations. There will be a
pungent odor when reacting with oxygen gas in the
air causing damage to the respiratory system such as
chronic bronchitis. It also makes the rain more
acidic as a result, of the destruction of ecosystems,
forests, water sources, and living organisms,
including erosion of buildings and ancient sites, [8].
Carbon dioxide (CO2) is the most abundant gas
and the main cause of greenhouse gases. There are
many causes, including the combustion of fuel, and
its appearance as a colorless, odorless, non-
flammable gas, but if the body receives large
amounts of carbon dioxide, the blood will be acidic.
As a result, it stimulates the respiratory system,
making breathing faster, so the heart beats fast and
suppresses the brain to cause unconsciousness, [9].
Nitrogen oxides (NOx) are caused by the
combustion of various types of fuel at high
temperatures. It has a chemical composition of
nitrogen and oxygen in different ratios, colorless,
and odorless, when interacting with other substances
such as volatile organic compounds and nitric acid.
It will affect the respiratory system, including the
human lungs, [10].
Hydrocarbons (HC) are fuel molecules that do
not burn at full efficiency. It is not a direct threat to
life and health. But it is dangerous when combined
until it reacts with nitrogen oxides (NOx), causing
the phenomenon of photochemical smog.
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Lead compounds (Tetraethyl Lead) have the
chemical formula of Pb(C2H5) 4. Petrol
manufacturers add lead compounds, known in
English as tetraethyl lead, as a liquid to gasoline and
motor oil used with the engine to have a high octane
or octane bumper and high running speed,
preventing the engine convulsions or antiknock
addictive substance. As the combustion in the
engine's computer operator is incomplete, there will
be lead compounds coming out. This lead will make
the air dirty by spreading in the air throughout the
area. As the number of cars in Bangkok or major
cities increases, the compounds of lead increase in
the shadows of car smoke, although it does not pose
an immediate danger to humans when inhaled until
it accumulates in the body in large quantities. It also
causes global temperature changes from the
accumulation of toxic gases in the air to destroy the
ozone layer of the world. To reduce this pollution,
using private cars sparingly is another way that the
whole world prioritizes, so that the world still has
fresh air and a temperature that is suitable for
humans, [11].
The Department of Land Transport raises the
intensity of measures to solve the problem of small
particulate matter, and air pollution in accordance
with the standards for good public health to tighten
the black smoke measurement of trucks and buses
across the country, increasing the rigor of vehicle
inspections. As a result, in the fiscal year 2021, the
number of vehicles detected with black smoke is
reduced, moving forward to promote the use of
clean energy vehicles to reduce air pollution
sustainably.
Mr. Chirut Wisalchit, Director-General of the
Department of Land Transport, revealed that the air
quality in Thailand has serious carcinogens,
especially in Bangkok and its vicinity which is
caused by the combustion of diesel engines, mainly
from the use of Euro 1-3 oil which is prohibited
around the world but has been used in Thailand. In
addition, in Thailand, there is a problem of
neglecting the punishment measures for black
smoke emissions from cars and industrial plants.
The Department of Land Transport reaffirms
measures for cars using internal combustion engines
such as gasoline, compressed natural gas, and diesel
engines to emit pollution after combustion of fuel
containing gases and particulate matter such as CO2,
CO, HC, SOx, NOx, and PM, etc., which must not
exceed the specified standards. Therefore, at
present, all new diesel cars that will be registered at
the Department of Land Transport must have
emission values in accordance with the mandatory
standards of the Thai Industrial Standards Institute,
with small diesel cars meeting the Euro 4 standard
and above, and large diesel meets Euro 3 standards
and above. For cars that are in use, the Ministry of
Natural Resources and Environment by the
Pollution Control Department has announced the
black smoke standard used for inspection of both
old and new cars, which must have an opacity of not
more than 45 percent. However, vehicles that do not
meet the above criteria will be subject to annual
vehicle tax renewals, and failure to pass the vehicle
inspection, and the car owner must take corrective
action immediately to solve the problem of pollution
and small dust PM2.5. The National Environment
Board has resolved to enforce emission standards
from new cars Euro 5 by 2024 Euro 5 engine
standards which require oil with sulfur levels to
prevent clogging of pollution equipment. This is
necessary to set fuel quality standards equivalent to
Euro 5 standards as well. The National Environment
Board therefore resolved to enforce the Euro 5
equivalent oil standard from 1 January 2024
onwards.
3 Findings
This research is carried out as follows:
1. The study of the distribution and factors
causing air pollution by automobiles in Chon
Buri Province
1.1 The researchers collect the data on factors
that cause air pollution by automobiles,
including smoke emitted from cars as
follows:
1.1.1 Carbon monoxide gas
1.1.2 Nitrogen sulfur dioxide
1.2 The researchers collect the data from 3 air
quality monitoring stations in Chon Buri
province as follows:
1.2.1 Thung Sukla Subdistrict Station, Sriracha
District, Chon Buri Province
1.2.2 Bo Win Subdistrict Station, Sriracha District,
Chon Buri Province
1.2.2 Ban Suan Subdistrict Station, Mueang Chon
Buri District, Chon Buri Province
1.3 The researchers collect the air pollution data
for the year 2017-2021 from the website of
the Air Quality and Noise Management
Division, Pollution Control Department to
investigate the distribution of air pollution.
1.4 The researchers analyze the distribution and
factors causing air pollution by automobiles
in Chon Buri province by using the
Interpolation, Inverse Distance Weighted
(IDW) method, and ArcMap program to
examine the distribution of air pollution.
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1.5 The researchers map the distribution and
factors that cause air pollution caused by cars
in Sriracha District and Mueang Chon Buri
District, Chon Buri Province.
2. Study of risky areas of air pollution caused
by cars in Sriracha District and Mueang
Chon Buri District, Chon Buri Province
2.1 The researchers collect the data on the areas
at risk of pollution caused by cars from the
following areas:
2.1.1 Intersection of traffic lights
2.1.2 Garages or public car parks
2.2 The researchers analyze by selecting areas
that are at risk of air pollution caused by
cars.
2.3 The researchers study the behavior of the
risky areas to determine which factor is
caused.
2.4 The researcher prepared a map showing the
areas at risk of air pollution caused by cars in
Sriracha District and Mueang Chon Buri
District, Chon Buri Province.
3. Study on the effects of air pollution caused
by cars in Sriracha District and Mueang
Chon Buri District, Chon Buri Province.
3.1 The researchers collect data on the impact of
air pollution caused by cars, including a
sample population in terms of health, such as
households in 11 districts affected by the
environment and health. This is carried out
by using the formula of Taro Yamane (Taro
Yamane) population living in Chonburi
province totaling 1,583,633 people
(Provincial Administration, Chonburi
Province), which determines the sample
group by using the calculation principle with
the formula of [13], at a confidence level of
95%, an error of 5%.
Analysis of data distribution and factors
contributing to air pollution caused by automobiles
in Mueang Chon Buri District and Sriracha District,
Chon Buri Province distribution and factors in the
form of a map are as follows:
1. Distribution map and factors causing air pollution
from automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province of 2017, as
shown in Figure 1. The distribution and factors
causing air pollution from automobiles in Mueang
Chon Buri District and Sriracha District, Chon Buri
Province, 2017 are presented in Appendix Table 1.
Fig. 1: Distribution map and factors causing air
pollution from automobiles in Mueang Chon Buri
District and Sriracha District, Chon Buri Province of
2017
2. Distribution map and factors causing air pollution
from automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province of 2018, as
shown in Figure 2. The distribution and factors
causing air pollution from automobiles in Mueang
Chon Buri District and Sriracha District, Chon Buri
Province of 2018 are presented in Appendix Table
2. Similarly, the distribution and factors causing air
pollution from automobiles in Mueang Chon Buri
District and Sriracha District, Chon Buri Province of
2019 are presented in Appendix Table 3.
Furthermore, the distribution and factors causing air
pollution from automobiles in Mueang Chon Buri
District and Sriracha District, Chon Buri Province of
2020 are presented in Appendix Table 4.
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Fig. 2: Distribution map and factors causing air
pollution from automobiles in Mueang Chon Buri
District and Sriracha District, Chon Buri Province of
2018
3. Distribution map and factors causing air pollution
from automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province of 2019, as
shown in Figure 3.
Fig. 3: Distribution map and factors causing air
pollution from automobiles in Mueang Chon Buri
District and Sriracha District, Chon Buri Province of
2019
4. Distribution map and factors causing air pollution
from automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province of 2020, as
shown in Figure 4.
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Fig. 4: Distribution map and factors causing air
pollution from automobiles in Mueang Chon Buri
District and Sriracha District, Chon Buri Province of
2020
5. Distribution map and factors causing air pollution
from automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province of 2021, as
shown in Figure 5. The distribution and factors
causing air pollution from automobiles in Mueang
Chon Buri District and Sriracha District, Chon Buri
Province of 2021 are presented in Appendix Table
5.
Fig. 5: Distribution map and factors causing air
pollution from automobiles in Mueang Chon Buri
District and Sriracha District, Chon Buri Province of
2021
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The analysis of the areas at risk for air pollution
caused by cars in Chon Buri province in the form of
a map includes:
1. Map of risky areas that cause air pollution from
automobiles, Sriracha District, Chon Buri Province.
Fig. 6: Map of risky areas causing air pollution from
automobiles in Si Racha District, Chon Buri
Province
2. Map of the areas at risk that cause air pollution
from automobiles, Mueang Chon Buri District Chon
Buri Province
Fig. 7: Map of risky areas causing air pollution from
automobiles, Mueang Chon Buri District Chon Buri
Province
3. Map of the areas at risk that cause air pollution
from automobiles, Mueang Chon Buri District and
Sriracha District, Chon Buri Province
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Fig. 8: Map of risky areas causing air pollution from
automobiles, Mueang Chon Buri District and
Sriracha District, Chon Buri Province
4 Results of Data Analysis
From the analysis of the areas at risk of air pollution
caused by cars in Mueang Chon Buri District and
Sriracha District Chon Buri Province during the
year 2017-2021, it shows that there are 42
intersections of risky areas found in Mueang Chon
Buri District. The district's air pollution risky areas
include 73 main roads, 3,239 minor roads, 97
parking lots, 73 garages, and 194 industrial
factories. As for the risky areas in Si Racha District,
it reveals that they are scattered along all 38 traffic
lights intersections, consisting of 83 main roads,
2,627 minor roads, 41 parking lots, 17 garages, and
87 industrial factories.
While the results of the analysis of air pollution
risky areas both in Mueang Chon Buri District and
Sriracha District Chon Buri province, it shows that
they are scattered along all 80 traffic lights
intersections, consisting of 156 main roads and
5,866 minor roads, including Bang Saen Road, Sai 2
Road, Long Hat Bang Saen Road. Lower Bangsaen
Road, Sukhumvit Road, National Highway No. 7,
National Highway No. 3, Lower Bangsaen Road
National Highway No. 3466 National Highway No.
3134, Bangsaen-Ang Sila Road, Saen Suk Road,
National Highway No. 3129, National Highway No.
3241, National Highway No. 3138, National
Highway No. 3144, Sukprayoon Road, Akniwat
Road, National Highway No. 315, National
Highway No. 331, National Highway No. 344,
National Highway No. 34 Parking Area 138 cars, 90
garages and 281 industrial factories, respectively.
The researchers analyzed the impact of air
pollution caused by automobiles in Chon Buri
Province by using a statistical analysis program for
the mean and percentage that caused the effect by
using accidental sampling, [12], according to the
proportion of the population of Mueang Chon Buri
District and Sriracha District until the total size of
the calculated sample is 400 sets. The researchers
then analyzed the sample population in the two
districts affected by health and the environment by
using the calculation formula of Taro Yamane, [13],
which includes the population living in Mueang
Chon Buri District and Sriracha District a total of
662,051 people (Chon Buri Provincial
Administration) at a confidence level of 95% with a
discrepancy of 5%, as shown in Table 6, Table 7,
and Table 8.
Health impact ( )
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Table 6. Analyzed data indicating the effect on the
health of the population in the areas investigated.
Health
Effects
Impact Level (People)
None
moderate
most
The
most
total
1. Lung
disease and
allergies are
caused by
pollution
emitted from
car fumes.
( )
5
39
144
96
116
400
Percentage
1.3
36
24
29
100
2. Caused by
smoking
inhaling car
fumes, causing
respiratory
illnesses such
as coughing,
runny nose,
and colds.
( )
3
35
123
205
34
400
Percentage
0.7
30.8
51.2
8.5
100
3. Occurrence
of eye
irritation due
to the
occurrence of
gases released
from car
fumes. ()
3
39
136
188
34
400
Percentage
0.8
34
47
8.5
100
4. Sickness in
the skin
system such as
a rash on the
skin and
blisters on the
skin caused by
allergies.
( )
9
46
152
163
30
400
Percentage
2.3
38
40.7
7.5
100
Environmental impact ( )
Table 7. Data survey on the environmental impact
caused by natural phenomena.
Environmental
impact
Impact Level (people)
(Occurrence
by nature)
None
little
moderate
most
The
most
total
1. It is caused
by hot weather
conditions that
most people use
vehicles to
commute.
( )
1
21
114
170
94
400
Percentage
0.3
5.3
28.5
42.5
23.5
100
2. It is caused
by the wind
blowing gases
from car smoke
into the air that
the air is
polluted by
various gases
that come out
of vehicles.
( )
1
36
136
179
48
400
Percentage
0.3
9
34
44.8
12
100
Table 8. Data survey on the environmental impact
caused by a man-made environment.
Environmental
impact
Impact Level (people)
(Occurrence by
human hand)
None
little
moderate
most
The
most
total
1. It originated
from an
industrial plant
( )
1
22
128
187
62
400
Percentage
0.3
5.5
32
46.7
15.5
100
2. It is caused
by
transportation
or various types
of vehicles
( )
4
25
131
185
55
400
Percentage
1
6.3
32.8
46.3
13.6
100
Data on the impact of air pollution caused by
automobiles on people was obtained from a
questionnaire with a rating scale of 5 levels, i.e., the
most impact 5 points, very much impact 4, moderate
impact 3, less impact 2, and 1 for no impact. The
researchers applied statistical calculations with
frequency, percentage, and mean for each
subsection of each impact aspect. The results of the
analysis of the opinions of the respondents were
used to define the criteria for interpreting the level
of impact obtained from the range of average scores
as follows (Table 9):
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Table 9. Level of impact, [14]
Impact Level
Average Score Range
Most impact
4.51 – 5.00
Very much impact
3.51 4.50
Moderate impact
2.51 – 3.50
Less impact
1.51 – 2.50
No impact
1.00 – 1.50
When considering the impact of air pollution
caused by transport vehicles the questionnaire
shows that people face health problems and the
environment at a high level( ). Notably,
analysis of the results of the two polluting gas
values in this study is presented in the form of a
graph since the year 2017-2021, which is divided
into 3 periods:
08.00-12.00 hrs., 12.00-16.00 hrs., and 16.00-20.00
hrs., as shown in Figure 4, Figure 5, Figure 6,
Figure 7, Figure 8, Figure 9.
When considering the above information, it
reveals that in the year 2017, carbon monoxide gas
is at the highest value of about 0.6 microns during
08.00-12.00 hrs. and the lowest value is 0.5 microns
during 12.00-16.00 sulfur dioxide. The highest
value is about 2.7 microns during 12:00-16:00 and
the lowest value is 1.3 microns during 12:00-16:00.
In the year 2018, it was found that carbon
monoxide gas is at the highest value of about 0.7
microns during 08.00-12.00 hrs. and the lowest
value is 0.6 microns during 12.00-16.00 sulfur
dioxide. The highest value is about 2.7 microns
from 8:00 a.m. to 12:00 noon and the lowest value is
0.5 microns from 8:00 a.m. to 12:00 noon.
In the year 2019, it was found that carbon
monoxide gas is at the highest value of about 0.7
microns during 08.00-12.00 hrs. and the lowest
value is 0.5 microns during 12.00-16.00 sulfur
dioxide. The highest value is about 1.8 microns
during 12:00-16:00 and the lowest is 1.3 microns
during 08:00-12:00.
In the year 2020, it was found that carbon
monoxide gas at the highest value of about 2.4
microns during 12.00-16.00 hrs. and the lowest
value is 0.5 microns during 08.00-12.00 sulfur
dioxide. The highest value is about 1.8 microns
during 12:00-16:00 and the lowest is 1.3 microns
during 08:00-12:00.
In the year 2021, there was no carbon monoxide
measurement for this year. Therefore there is no
information and sulfur dioxide is found at the
highest value of about 0.5 microns during 12:00-
16:00 and the lowest value is 0.3 microns during
08:00-12:00.
Fig. 9: Analytical graphs of the two polluted gases
4 Conclusion and Discussion
From the study of pollution caused by automobiles,
a case study of Mueang Chon Buri District and
Sriracha District, Chon Buri Province, the results
can be concluded as follows.
1) The study of factors causing air pollution
caused by automobiles in Mueang Chon Buri and
Sriracha Districts, Chon Buri Province Sriracha
District has an area of approximately 623.689
square kilometers and Mueang Chon Buri District
has an area of approximately 255.675 square
kilometers. The total area of both districts is
approximately 879.364 square kilometers. Based on
the distribution of the two gases, carbon monoxide,
and sulfur dioxide Gas distribution, indicates that
they were found in Sriracha District more than in
Mueang Chon Buri District. This is because Mueang
Chon Buri District has only one weather station,
Ban Suan Subdistrict, Mueang Chon Buri District,
Chon Buri Province, and Sriracha District with
higher gas distribution values. There are 2 weather
monitoring stations: ThungSukla Subdistrict,
Sriracha District, Chon Buri Province, and Bowin
Subdistrict, Sriracha District, Chon Buri Province.
2) The results of the study of areas at risk of
air pollution caused by automobiles in Mueang
Chon Buri District and Sriracha District, Chon
Buri Province According to the data for the year
2017-2021 and the results of the analysis of air
pollution risky areas both in Sriracha District and
Mueang Chon Buri District, the risky places include
80 traffic lights in Sriracha District, consisting of 13
parking lots, 90 garages, 281 industrial factories,
156 main roads, and 5,866 sub-roads, including
Bang Saen Road, Sai 2 Road. down to Bangsaen
Beach Lower Bangsaen Road, Sukhumvit Road,
Highway No. 7, National Highway No. 3, Bangsaen
Lang Road, National Highway No. 3466, National
Highway No. 3134, Bangsaen-Ang Sila Road,
Saensuk Road, National Highway No. 3129,
National Highway No. 3241, National Highway No.
3138, National Highway No. 3144, Sukprayoon
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Thanachot Sunthonwongsakun
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Road, Akniwat Road, National Highway No. 315,
National Highway No. 331, National Highway No.
344 and Highway number 34. The sources of air
pollution mentioned above are among the major
causes that affect the daily life of people in the
community.
3) The results of the study on the effects of
air pollution caused by automobiles in Sriracha
District and Mueang Chon Buri District, Chon
Buri Province
From the analysis of 400 questionnaires, it was
found that most people are affected by pollution that
causes health problems more than the environmental
impact on health and is found at a high level
followed by moderately affected, most affected,
slightly affected, and no affected at all, respectively.
4.1 Discussion
The study of factors causing air pollution from
automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province using the
Geographic Information System (GIS), shows that
Sriracha District has an area of approximately
623.689 square kilometers and Mueang Chon Buri
District has an area of approximately 255.675
square kilometers. As for the area of both districts,
the accumulation of both areas is approximately
879.364 square kilometers in which the distributions
of carbon monoxide (CO) and sulfur dioxide (SO2)
are analyzed using interpolation with IDW
principles based on air quality analysis principles.
When considering the distribution of the two gases,
it indicates that the distribution found in Sriracha
District is greater than in Mueang Chon Buri
District because Mueang Chon Buri District is small
in terms of area compared to Sriracha District. In
addition, there is less use of industrial lands, and
community activities that cause pollution are also
less in Mueang Chon Buri District. In the
meanwhile, Mueang Chon Buri District has only
one air quality monitoring station, which is different
from Sriracha District having many heavy and light
industrial plants spread out with a high working
population, and traffic and vehicles are used to
travel at a higher rate than Mueang Chon Buri
District. These findings are consistent with the
research of [15], applying Geoinformatics
Application on Air Quality Assessment in Bangkok
to investigate the diffusion concentration of air
pollutants. There are 6 types of air pollutants found
in diffusion concentrations above all air quality
standards: dust smaller than 10 microns (PM10),
nitrogen dioxide (NO2), ozone (O3), dust smaller
than 2.5 microns (PM2.5), and sulfur gas, Dioxide
(SO2) and carbon monoxide (CO).
Based on the analysis of risky areas for air
pollution caused by cars from data sources of 2017-
2021, the risky areas for pollution both in Mueang
Chon Buri District and Sriracha District include the
intersection of traffic lights in both districts, a total
of 80 intersections, 138 parking lots, 90 garages,
281 industrial plants, 156 main roads, and 5,866
sub-roads. The findings mentioned reflecting the
prosperity of the industry where the transportation
routes are expanded in parallel with industrial plants
as well as lifestyle activities of people in the
community that result in high air pollution.
Meanwhile, the facts reflect the laxity in the
implementation of air pollution prevention measures
by the government and private sectors consistent
with the study carried out by [16], indicating that
stakeholders still lack participation in problem-
solving, especially in the government sectors. This
research recommends a campaign to raise awareness
among all groups of people about the problem of
pollution. And the government should play a major
role in solving problems with people in the
community. For management guidelines, it is
suggested that entrepreneurs and the middle class
are willing to cooperate and want to participate in
solving problems by helping to look after the
problem, fixing the traffic system, reduction of dust
from the construction of various projects,
coordinating construction plans, public
transportation system, controlling the quantity and
orderliness of the four-wheeled vehicle and creating
people's consciousness to love their community
more. In relation to the analysis of data from the
questionnaire, it reveals that most people face health
problems and environmental problems the most (
), consistent with the results of the study,
[17], which the main impact of air pollution
problems affects public health.
4.2 Suggestions
In terms of Management
1. Agencies at district and provincial levels
should continuously monitor, analyze and create a
database of air quality in the general atmosphere and
the release of air pollutants from their sources.
2. They should determine preventive measures
and prepare an emergency plan to prevent, resolve,
suppress, or alleviate emergencies or hazards from
air pollution.
3. They should develop a master plan and an
action plan to reduce air pollution continuously.
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Pichitporn Pholgerddee,
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Thanachot Sunthonwongsakun
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4. The government should promote coordination
between government agencies, state enterprises, and
the private sector to control and prevent air
pollution, as well as support efficient and
economical use of energy.
5. The government should control and reduce
the use of substances that are harmful to the ozone
layer.
In terms of Investment
1. The government should promote and support
the improvement or increase of fuel standards to
meet international standards, including promoting
the cessation of the use of toxic fuels.
2. The government should promote the creation
of an efficient mass transit system as well as
construct and improve roads to increase traffic
surfaces.
In terms of Law
1. The government should set and improve
standards both general standards and standards of
pollution sources, including setting measurement
methods to meet international standards and strictly
enforcing laws.
2. The government sector should determine the
types of pollution sources that must be controlled
for exhaust ventilation and odor emissions into the
atmosphere.
3. The government should issue a policy
requiring all types of vehicles and every service life
to be inspected for pollution in the exhaust pipe by
using a centralized inspection system and using the
"Excellent Service Center" mark. "Temporarily
banned" or “Absolutely do not use” for vehicles that
produce pollution that exceeds the standard
according to the Enhancement and Conservation of
National Environment Act B.E. 1992
In terms of support
1. Agencies at district and provincial levels
should support and cooperate with private sectors,
clubs or independent groups, and all media to
participate in campaigns and public relations to
educate, understand and realize the dangers of air
pollutants and acknowledge law enforcement
against Air pollutants of all types.
2. The government should support studies and
research on air pollution control and disposal
technologies such as biogas.
3. The government should promote the use of
economic incentives to support the solution to air
pollution problems.
4.3 Limitations
During the data collection process, it was found that
the air quality monitoring stations did not measure
lead compounds. This is another factor that can
cause pollution by automobiles. Therefore, this
study has been limited to incorporating such data to
be co-analyzed with other relevant factors. In
addition, there are few air quality measurement
stations located in different areas of Thailand. The
researchers use geo-informatics technology to help
in gas analysis and different factors that can cause
air pollution caused by cars making it easy to
analyze and more clearly assess the situation of
pollution.
Acknowledgements:
This study is supported by Faculty of Geo-
Informatics, Burapha University.
References:
[1] Health &EnvitechCo.,Ltd.(2023). Air quality
problems from PM2.5 in Thailand. Retrieved
from https://healthenvi.com/en/health-and-
environmental-effects-pm25/.
[2] Department of Environmental Quality
Promotion. (2022). Background and
importance of high air pollution problems
caused by cars and other things. Retrieved
from https://datacenter.deqp.go.th/knowledge/
[3] Eastern Economic Corridor. (2023).
Government Initiative. Retrieved from
https://www.eeco.or.th/en
[4] Air quality and noise management bureau.
(2023). Thailand's air quality Information.
Retrieved from
http://air4thai.pcd.go.th/webV2/aqi_info.php
[5] Air Quality and Noise Management Division
Pollution Control Department. (2022). Air
quality monitoring station information of
Chon Buri Province. Retrieved from
http://air4thai.pcd.go.th/webV2/region.php?re
gion=1
[6] World Health Organization Thailand. (2019).
What is air pollution. Retrieved from
https://www.who.int/docs/default-
ource/thailand/air-pollution/briefing-on-air-
pollution-th-thai.pdf?sfvrsn=408572d4_2
[7] Uraireekkul, C. (2019). Air Pollution.
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http://doh.hpc.go.th/bs/topicDisplay.php?id=2
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[8] T.R.OKE. (1987). Boundary Layer climate2nd
Edition. p.464. DOI:
WSEAS TRANSACTIONS on ENVIRONMENT and DEVELOPMENT
DOI: 10.37394/232015.2023.19.65
Pichitporn Pholgerddee,
Piyanat Natchabunyawat, Sirima Somwong,
Thanachot Sunthonwongsakun
E-ISSN: 2224-3496
679
Volume 19, 2023
https://doi.org/10.4324/9780203407219,
London, eBook ISBN: 9780203407219
[9] The Intergovernmental Panel on Climate
Change. (1995). Summary for Policymakers of
working Groups I, II and III. Climate Change.
[10] MSA Bacharach The Safety Company.
(2019). Sources of NOx Emissions. Retrieved
from https://www.mybacharach.com/sources-
nox-emissions/
[11] Public Broadcasting Organization of
Thailand. (2022). Lead compounds. Retrieved
from
https://news.thaipbs.or.th/content/301045
[12] Wanichbuncha, K. (1999). Statistical
Analysis: Statistics for Decision Making.
Issue 4, Chulalongkorn Wittayalai Printing
House, Bangkok.
[13] Yamane, Taro. (1967). Statistics, An
Introductory Analysis, 2nd ed., New York:
Harper and Row
[14] Best, John W., (1977). Research in Education.
3rd ed. Englewood Cliffs, New Jersey: Prentice
Hall, Inc.
[15] Pharasit, M and Chaiyakarm, T. (2020).
Geoinformatics Application on Air Quality
Assessment A Case Study in Bangkok: Thai
Science and Technology Journal (TSTJ) Vol.
28, No.5, DOI: 10.14456/tstj.2020.61
[16] Chaiamat, S. (2004). Management of air
pollution problems in Chiang Mai
municipality. Chiang Mai University. Chiang
Mai.
[17] Kengchuwong, M. (2018). Study on
Particulate Matter in Ambient Air and
Impacts to People in Urban Area of
MahaSarakham Municipality. Environmental
Science Program,Faculty of Science and
Technology Rajabhat
MahaSarakhamUniversity,P.86. Retrieved
from http://research.rmu.ac.th/rdi-
mis//upload/fullreport/1607006747.pdf
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Appendix
Table 1. Distribution and factors causing air pollution from automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province, 2017
Air Quality Index
(AQI)
Air
Quality
Area
(Sq.km.)
Percentage
Area Boundaries
Sub-district
District
Province
0-10
(SO2/CO)
Very good
(blue)
214.547
24.39
Khao Khan
Song, Bowin,
Bueng, Nong
Kham
Sriracha
Chon Buri
11-20
(SO2/CO)
Good
(green)
303.249
34.48
KrongTamru,
Don Hua Lo,
Na Pa, Bang
Sai, Bang Pla
Soi, Khan Khot,
Ban Puek, Ban
Suan, Tamarind
Yong, Samnak
Bok, Samet,
Saensuk, Nong
Khang Khok,
Nong Mai
Daeng, Huai
Kapi, Mine,
Khao Khan
Song, Bang
Phra, Bowin,
Bueng, Nong
Kham
Sriracha,
Mueang
Chon Buri
Chon Buri
21-30
(SO2/CO)
Medium
(yellow)
160.337
18.25
Ban Puek,
Samet,
Saensuk, Nong
Khang Kok,
Nong Ri,
Shrimp Paste,
Mine, Ang Sila,
Bang Phra,
Bueng, Nong
Kham
Sriracha,
Mueang
Chon Buri
Chon Buri
31-40
(SO2/CO)
Beginning
to affect
(Orange)
91.7424
10.43
Bang Phra,
Bueng, Surasak,
Nong Kham
Sriracha
Chon Buri
41-50
(SO2/CO)
Getting
affected
(red)
109.489
12.45
Bang Phra,
Bueng, Surasak,
Sriracha, Nong
Kham, Laem
Chabang
Sriracha
Chon Buri
Total
879.364
100
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DOI: 10.37394/232015.2023.19.65
Pichitporn Pholgerddee,
Piyanat Natchabunyawat, Sirima Somwong,
Thanachot Sunthonwongsakun
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Volume 19, 2023
Table 2. Distribution and factors causing air pollution from automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province of 2018
Air Quality Index
(AQI)
Air
Quality
Area
(Sq.km.)
Percentage
Area Boundaries
Sub-district
District
Province
0-10
(SO2/CO)
Very good
(blue)
192.154
21.85
Khao Khan
Song, Bowin,
Bueng, Nong
Kham
Sriracha
Chon Buri
11-20
(SO2/CO)
Good
(green)
86.504
9.83
Khao Khan
Song, Bang
Phra, Bowin,
Bueng, Nong
Kham
Sriracha,
Mueang
Chon
Buri
Chon Buri
21-30
(SO2/CO)
Medium
(yellow)
371.114
42.3
KhongTamru,
Madon Hua
Lo, Na Pa,
Bang Sai,
Bang Pla Soi,
Khan Khot,
Ban Puk, Ban
Suan,
Tamarind
Yong,
Samnak Bok,
Samet,
Saensuk,
Nong Khang
Khok, Nong
Mai Daeng,
Nong Ri.
,Huai Kapi,
Mine, Khao
Khan Song,
Bang Phra,
Bowin,
Bueng, Nong
Kham
Sriracha,
Mueang
Chon
Buri
Chon Buri
31-40
(SO2/CO)
Beginning
to affect
(Orange)
114.154
12.98
Bang Saen,
Mine, Bang
Phra, Bueng,
Surasak,
Nong Kham
Sriracha,
Mueang
Chon
Buri
Chon Buri
41-50
(SO2/CO)
Getting
affected
(red)
115.438
13.13
Bang Phra,
Bueng,
Surasak,
Sriracha,
Nong Kham,
Laem
Chabang
Sriracha
Chon Buri
Total
879.364
100
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DOI: 10.37394/232015.2023.19.65
Pichitporn Pholgerddee,
Piyanat Natchabunyawat, Sirima Somwong,
Thanachot Sunthonwongsakun
E-ISSN: 2224-3496
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Table 3. Distribution and factors causing air pollution from automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province of 2019
Air Quality
Index (AQI)
Air
Quality
Area
(Sq.km.)
Percentage
Area Boundaries
Sub-district
District
Province
0-10
(SO2/CO)
Very good
(blue)
192.608
21.9
Khao Khan Song,
Bowin, Bueng, Nong
Kham
Sriracha
Chon Buri
11-20
(SO2/CO)
Good
(green)
85.143
9.68
Khao Khan Song,
Bang Phra, Bowin,
Bueng, Nong Kham
Sriracha,
Mueang
Chon
Buri
Chon Buri
21-30
(SO2/CO)
Medium
(yellow)
368.732
41.93
KrongTamru, Madon
Hua Lo, Na Pa, Bang
Sai, Bang Pla Soi,
Khan Khot, Ban Puk,
Ban Suan, Tamarind
Yong, Samnak Bok,
Samet, San Suk, Nong
Khang Khok, Nong
Mai Daeng, Nong Ri.
,Huai Kapi, Mine,
Khao Khan Song,
Bang Phra, Bowin,
Bueng, Nong Kham
Sriracha,
Mueang
Chon
Buri
Chon Buri
31-40
(SO2/CO)
Beginning
to affect
(Orange)
116.333
13.24
Bang Saen, Mine,
Bang Phra, Bueng,
Surasak, Nong Kham
Sriracha,
Mueang
Chon
Buri
Chon Buri
41-50
(SO2/CO)
Getting
affected
(red)
116.543
13.25
Bang Phra, Bueng,
Surasak, Sriracha,
Nong Kham, Laem
Chabang
Sriracha
Chon Buri
Total
879.364
100
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DOI: 10.37394/232015.2023.19.65
Pichitporn Pholgerddee,
Piyanat Natchabunyawat, Sirima Somwong,
Thanachot Sunthonwongsakun
E-ISSN: 2224-3496
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Table 4. Distribution and factors causing air pollution from automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province of 2020
Air Quality
Index (AQI)
Air
Quality
Area
(Sq.km.)
Percentage
Area Boundaries
Sub-district
District
Province
0-10
(SO2/CO)
Very good
(blue)
178.614
20.31
Khao Khan Song,
Bowin, Bueng, Nong
Kham
Sriracha
Chon Buri
11-20
(SO2/CO)
Good
(green)
319.834
36.38
KhongTamru, Madon
Hua Lo, Na Pa, Bang
Sai, Bang Pla Soi, Khan
Khot, Ban Puk, Ban
Suan, Tamarind Yong,
Samnak Bok, Samet, San
Suk, Nong Khang Khok,
Nong Ri, HuaiKapi ,
Mines, Khao Khan Song,
Bang Phra, Bowin,
Bueng, Nong Kham
Sriracha,
Mueang
Chon Buri
Chon Buri
21-30
(SO2/CO)
Medium
(yellow)
167.945
19.1
Saen Suk, Nong Khang
Khok, Nong Mai Daeng,
Nong Ree, Huai Kapi,
Mine, Ang Sila, Bang
Phra, Bueng, Nong
Kham
Sriracha,
Mueang
Chon Buri
Chon Buri
31-40
(SO2/CO)
Beginning
to affect
(Orange)
99.844
11.35
Bang Saen, Mine, Bang
Phra, Bueng, Surasak,
Nong Kham
Sriracha,
Mueang
Chon Buri
Chon Buri
41-50
(SO2/CO)
Getting
affected
(red)
113.122
12.86
Bang Phra, Bueng,
Surasak, Sriracha, Nong
Kham, Laem Chabang
Sriracha
Chon Buri
Total
879.364
100
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DOI: 10.37394/232015.2023.19.65
Pichitporn Pholgerddee,
Piyanat Natchabunyawat, Sirima Somwong,
Thanachot Sunthonwongsakun
E-ISSN: 2224-3496
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Table 5. Distribution and factors causing air pollution from automobiles in Mueang Chon Buri District and
Sriracha District, Chon Buri Province of 2021
Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
-Pichitporn Pholgerddee led the research project,
involved in planning activities, supervised the work
and prepared the manuscript.
-Piyanat Natchabunyawat contributed to the study of
samples in laboratory and data analysis.
-Sirima Somwong helped in produce metadata, data
encoding via software and interpretation.
-Thanachot Sunthonwongsakun arranged research
tools, relevant materials and samples for the
laboratory work.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
This study is supported by Faculty of Geo-
Informatics, Burapha University.
Conflict of Interest
The authors declare that they have no conflicts of
interest.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
_US
Air Quality
Index (AQI)
Air Quality
Area
(Sq.km.)
Percentage
Area Boundaries
Sub-district
District
Province
0-10
(SO2/CO)
Very good (blue)
178.614
44.11
KrongTamru, Don
Hua Lo, Na Pa, Bang
Sai, Bang Pla Soi, Ban
Khot, Ban Puek, Ban
Suan, Tamarind Yong,
Samnak Bok, Samet,
Nong Khang Kok,
Nong Mai Daeng,
Nong Ri, Huai Kapi,
Mine, Khao Khan
Song, Bang Phra,
Bowin, Bueng, Nong
Kham
Sriracha,
Mueang Chon
Buri
Chon Buri
11-20
(SO2/CO)
Good (green)
319.834
20.46
Ban Puek, Samet,
Saensuk, Nong Khang
Kok, Nong Ri, Huai
Kapi, Mine, Basin,
Khao Khan Song,
Bang Phra, Bo Win,
Bueng, Nong Kham
Sriracha,
Mueang Chon
Buri
Chon Buri
21-30
(SO2/CO)
Medium
(yellow)
167.945
14.11
Saen Suk, Mine, Bang
Phra, Bueng, Nong
Kham, Surasak
Sriracha,
Mueang Chon
Buri
Chon Buri
31-40
(SO2/CO)
Beginning to
affect (Orange)
99.844
9.38
Bang Phra, Bueng,
Surasak, Nong Kham
Sriracha
Chon Buri
41-50
(SO2/CO)
Getting affected
(red)
113.122
11.94
Bang Phra, Bueng,
Surasak, Sriracha,
Nong Kham, Laem
Chabang
Sriracha
Chon Buri
Total
879.364
100
WSEAS TRANSACTIONS on ENVIRONMENT and DEVELOPMENT
DOI: 10.37394/232015.2023.19.65
Pichitporn Pholgerddee,
Piyanat Natchabunyawat, Sirima Somwong,
Thanachot Sunthonwongsakun
E-ISSN: 2224-3496
685
Volume 19, 2023