Suralaya Coal-fired Power Plant (CPP) not only produces electricity but also exhaust emissions, consisting of particulates. This study investigated the dilution system and dispersion pattern of particulates, focusing on TSP and PM10 from seven stacks of Suralaya CPP by using AERMOD. Emission inventory data of 2016 were used in simulations within 15 km × 15 km, domains over annual, daily and one-hour averaging periods. The research method was carried out using secondary data collection related to study area maps and meteorological data from year 2016, whereas the emission data is based on direct measurements at the monitoring point manually at the power plant. Annual, daily and hourly averaged surface concentration maps were reported. The particulates from Suralaya CPP, both TSP and PM10 still meet the Indonesian Regulation and affected the same area. For hilly topographic locations, the distribution of emissions tends to be close to the generating unit around 1-6 km depending on wind direction, wind speed and the topography of the site. The AERMOD model showed different patterns of impacts regarding the dispersion profiles, affected areas, and concentrations depending on meteorological conditions.

1.
Bing
Pei
,
Xiaoliang
Wang
,
Yihua
Zhang
,
Ming
Hu
,
Yanjing
Sun
,
Ji
Deng
,
Li
Dong
,
Qingyan
Fu
,
Naiqiang
Yan
, “
Emissions and source profiles of PM2.5 for coal-fired boilers in the Shanghai megacity, China
,” vol.
7
, pp.
577
584
,
2016
.
2.
Wissanupong
Kliengchuay
,
Aronrag Cooper
Meeyai
,
Suwalee
Worakhunpiset
, and
Kraichat
Tantrakarnapa
, “
Relationships between Meteorological Parameters and Particulate Matter in Mae Hong Son Province, Thailand
,”
International Journal of Environmental Research and Public Health
, vol.
15
,
2018
.
3.
Erwin Azizi
Jayadipraja
,
Anwar
Daud
,
Alimuddin Hamzah
Assegaf
, and
Maming
, “
The application of the AERMOD model in the environmental health to identify the dispersion area of total suspended particulate from cement industry stacks
,”
International Journal of Research in Medical Sciences
, vol.
4
, no.
6
, pp.
2044
2049
,
2016
.
4.
Ma
Jieyun
,
Yi
Honghong
,
Tang
Xiaolong
,
Zhang
Yan
,
Xiang
Ying
, and
Pu
Li
, “
Application of AERMOD on near future air quality simulation under the latest national emission control policy of China: A case study on an industrial city
,”
Journal of Environmental Sciences
, vol.
25
, no.
8
, pp.
1608
1617
,
2013
.
5.
Budi
Haryanto
and
Peter
Franklin
, “
Air pollution: a tale of two countries
,”
Reviews on Environmental Health
, vol.
1
, no.
26
,
2011
.
6.
WHO
,
Monitoring Ambient Air Quality For Health Impact Assessment
.
Copenhagen
,
1999
.
7.
Rahul
Boadh
,
A.N.V.
Satyanarayana
, and
T.V.B.P.S. Rama
Krishna
, “
Assessment of Dispersion of Oxide of Nitrogen using AERMOD over a Tropical Industrial Region
,”
International Journal of Computer Applications
, vol.
90
, no.
11
, pp.
43
50
,
2014
.
8.
A.
Noorpoor
and
H.
Rahman
, “
Application of AERMOD to local scale diffusion and dispersion modeling of air pollutants from cement factory stacks (Case study: Abyek Cement Factory
),”
Pollution
, vol.
4
, no.
1
, pp.
417
426
,
2015
.
9.
Li
Li
,
Yalin
Lei
,
Sanmang
Wu
,
Zhaoyue
Huang
,
Jingyi
Luo
,
Yifeng
Wang
,
Jiabin
Chen
,
Dan
Yan
, “
Evaluation of future energy consumption on PM2.5 emissions and public health economic loss in Beijing
,”
Journal of Cleaner Production
,
2018
.
10.
Mokhtar M.
Mutahharah
,
Hassim H.
Mimi
, and
Taib M.
Rozainee
, “
Health Risk Assessment of Emissions from A coal-fired Power Plant Using AERMOD Modelling
,”
Process Safety an Environmental Protection
, vol.
92
, pp.
476
485
,
2014
.
11.
Seangkiatiyuth
Kanyanee
,
Surapipith
Vanisa
,
Tantrakarnapa
Kraichat
, and
Lothongkum W.
Anchaleeporn
, “
Application of the AERMOD modeling system for environmental impact assessment of NO2 emissions from a cement complex
,” vol.
23
, no.
6
, pp.
931
940
,
2011
.
12.
Indonesian Government
, “
Government Regulation No. 41 Year 1999 regarding Air Pollution Control
,”
1999
.
This content is only available via PDF.
You do not currently have access to this content.