Air Pollution Impact in the Area Around Coal-fired Power Plant in ChungNam

被引:1
作者
Kim, Su-Hyang [2 ]
Park, Sechan [2 ]
Hwang, Kyucheol [2 ]
Choi, Young-Nam [2 ]
Lee, Sang Sin [2 ]
Park, Sunhwan [1 ,2 ]
Lee, Gahye [3 ]
Kim, Jeongho [4 ]
Noh, Sujin [5 ]
Kim, Jong Bum [2 ]
机构
[1] Sunil Engn & Consultant Co Ltd, Uiwang, South Korea
[2] ChungNam Inst, Seohaean Res Inst, Hongseong, South Korea
[3] Adv Inst Convergence Technol, Test bed & Support Ctr Wildfire Monitoring, Suwon, South Korea
[4] Fine Particle Lab Co Ltd, Incheon, South Korea
[5] Daelim Univ, Dept Hlth & Safety, Anyang, South Korea
关键词
Coal-fired power plant; PM (2.5); NO; 2; SO (2); Chungnam; SILs; BFM; PROVINCIAL PM2.5 CONCENTRATIONS; PUBLIC-HEALTH IMPACTS; SOURCE APPORTIONMENT; INORGANIC PM2.5; SOUTH-KOREA; EMISSIONS; MODEL; PM10;
D O I
10.5572/KOSAE.2024.40.1.149
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In this study, we analyzed the impact of air pollutants caused by a coal-fired power plants located in Chungnam. The Chungnam region is characterized by diverse large-scale emission facilities, particularly notable for coal-fired power plants emitting noteworthy quantities of air pollutants, including PM 2.5 , SO 2 , and NO 2 . For the analysis, we conducted modeling using the WRF-SMOKE-CMAQ system, utilizing emission data from the Clean Air Policy Support System (CAPSS) in 2019 was used. The modeling focused on Boryeong, Dangjin, and Taean, where coal-fired power plants are situated. To assess changes in concentration resulting from emission variations, the study used the Brute Force Method (BFM) and the Significant Impact Levels (SILs), developed by the United States Environmental Protection Agency (EPA). As a result of the emission analysis, it was found that air pollutant emissions in Chungnam were gradually decreasing, with significant reductions noted in Dangjin, Boryeong, and Taean. Analyzing the influence of surrounding areas on the modeling target areas revealed that the impact in Dangjin and Taean was relatively small, likely due to the wind trajectory being pushed from inland to the coast. Conversely, Boryeong had the most significant influence on its surrounding areas, with the most affected regions being Boryeong, Hongseong, and Yesan.
引用
收藏
页码:149 / 165
页数:17
相关论文
共 46 条
[1]   Adjustment of Foreign Emission Impacts on Provincial PM2.5 Concentrations in South Korea based on Upwind Observations and Estimation of Domestic Emission Uncertainty br [J].
Bae, Minah ;
Kim, Soontae .
JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2022, 38 (04) :624-636
[2]   Quantitative Evaluation on the Drivers of PM2.5 Concentration Change in South Korea during the 1st -3rd Seasonal PM2.5 Management Periods [J].
Bae, Minah ;
Kim, Segi ;
Kim, Soontae .
JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2022, 38 (04) :610-623
[3]   Estimating the Shutdown Effect of the Old Coal-fired Power Plants on PM2.5 and its Composition [J].
Bae, Minah ;
Yoo, Cheol ;
Kim, Soontae .
JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2020, 36 (01) :48-63
[4]   Using the Community Multiscale Air Quality (CMAQ) model to estimate public health impacts of PM2.5 from individual power plants [J].
Buonocore, Jonathan J. ;
Dong, Xinyi ;
Spengler, John D. ;
Fu, Joshua S. ;
Levy, Jonathan I. .
ENVIRONMENT INTERNATIONAL, 2014, 68 :200-208
[5]   Ambient air pollution of particles and gas pollutants, and the predicted health risks from long-term exposure to PM2.5 in Zhejiang province, China [J].
Chen, Yuanchen ;
Zang, Lu ;
Du, Wei ;
Xu, Da ;
Shen, Guofeng ;
Zhang, Quan ;
Zou, Qiaoli ;
Chen, Jinyuan ;
Zhao, Meirong ;
Yao, Defei .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (24) :23833-23844
[6]  
Choi H.-J., 2021, Master thesis
[7]   Evaluation of the Simulated PM2.5 Concentrations using Air Quality Forecasting System according to Emission Inventories - Focused on China and South Korea [J].
Choi, Ki-Chul ;
Lim, Yongjae ;
Lee, Jae-Bum ;
Nam, Kipyo ;
Lee, Hansol ;
Lee, Yonghee ;
Myoung, Jisu ;
Kim, Taehee ;
Jang, Limseok ;
Kim, Jeong Soo ;
Woo, Jung-Hun ;
Kim, Soontae ;
Choi, Kwang-Ho .
JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2018, 34 (02) :306-320
[8]  
Emery C., 2001, Enhanced Meteorological Modeling and Performance Evaluation for Two Texas Ozone Episodes, P7
[9]   Inverse modeling and mapping US air quality influences of inorganic PM2.5 precursor emissions using the adjoint of GEOS-Chem [J].
Henze, D. K. ;
Seinfeld, J. H. ;
Shindell, D. T. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2009, 9 (16) :5877-5903
[10]   Reduced-form modeling of public health impacts of inorganic PM2.5 and precursor emissions [J].
Heo, Jinhyok ;
Adams, Peter J. ;
Gao, H. Oliver .
ATMOSPHERIC ENVIRONMENT, 2016, 137 :80-89