Pub Date : 2023-08-31DOI: 10.5572/kosae.2023.39.4.437
Da-Som Park, Yong-joo Choi, Young Sunwoo, Chang-hoon Jung
Wet scavenging is one of the main mechanisms for the removal of particulate matter in the atmosphere. In this respect, precipitation is an important component and plays a key role in the removal of air pollutants. When precipitation occurs, raindrops fall, inducing below cloud scavenging, absorbing pollutants and removing them from the atmosphere. The wet scavenging process is affected by the strength, duration, concentration, and distribution of air pollutants. The aerosol wet scavenging coefficient ( Λ m ) by precipitation is used to formulate a change in aerosol concentration ( C ) during the precipitation time ( t ). According to the equation, the wet scavenging coefficient was calculated using multi-year PM 2.5 hourly concentration data from the NAMIS (National Ambient air quality Monitoring Information System). The main purpose of this study is to gain a better understanding of scavenging coefficients including characteristics unique to Korea by using measurement data for five years for 12 cities. By applying a developed scavenging coefficient to the three-dimensional air quality model, these results provide wider support for improving the accuracy of simulating particle matters in East Asia. An implication of the new scavenging coefficient is a value that better reflects precipitation characteristics in Korea and one that can also help research scavenging characteristics in East Asia in the future and contribute to improving modeling accuracy.
{"title":"A Study on the Wet Scavenging Characteristics of Atmospheric Aerosol in the Korean Peninsula Using NAMIS (National Ambient Air Quality Monitoring Information System) Data and Its Application to Air Quality Modeling System","authors":"Da-Som Park, Yong-joo Choi, Young Sunwoo, Chang-hoon Jung","doi":"10.5572/kosae.2023.39.4.437","DOIUrl":"https://doi.org/10.5572/kosae.2023.39.4.437","url":null,"abstract":"Wet scavenging is one of the main mechanisms for the removal of particulate matter in the atmosphere. In this respect, precipitation is an important component and plays a key role in the removal of air pollutants. When precipitation occurs, raindrops fall, inducing below cloud scavenging, absorbing pollutants and removing them from the atmosphere. The wet scavenging process is affected by the strength, duration, concentration, and distribution of air pollutants. The aerosol wet scavenging coefficient ( Λ m ) by precipitation is used to formulate a change in aerosol concentration ( C ) during the precipitation time ( t ). According to the equation, the wet scavenging coefficient was calculated using multi-year PM 2.5 hourly concentration data from the NAMIS (National Ambient air quality Monitoring Information System). The main purpose of this study is to gain a better understanding of scavenging coefficients including characteristics unique to Korea by using measurement data for five years for 12 cities. By applying a developed scavenging coefficient to the three-dimensional air quality model, these results provide wider support for improving the accuracy of simulating particle matters in East Asia. An implication of the new scavenging coefficient is a value that better reflects precipitation characteristics in Korea and one that can also help research scavenging characteristics in East Asia in the future and contribute to improving modeling accuracy.","PeriodicalId":16269,"journal":{"name":"Journal of Korean Society for Atmospheric Environment","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45120914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.5572/kosae.2023.39.4.525
Hyunmin Lee, J. Gil, Meehye Lee
{"title":"Characteristics of PM2.5 Composition and Precursor Gases in Urban Seoul during 2021~2022","authors":"Hyunmin Lee, J. Gil, Meehye Lee","doi":"10.5572/kosae.2023.39.4.525","DOIUrl":"https://doi.org/10.5572/kosae.2023.39.4.525","url":null,"abstract":"","PeriodicalId":16269,"journal":{"name":"Journal of Korean Society for Atmospheric Environment","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48136277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of the Chemical Characteristics and Source Apportionment of PM1.0 and PM2.5 Using Real-time Air Quality Monitoring Network Data of Air Pollutants","authors":"Seungmee Oh, Ju-Young Kim, Soo-Ran Won, Sujin Kwon, Sang-Jin Lee, Sung-Deuk Choi, Ji-Yi Lee, Hye-Jung Shin","doi":"10.5572/kosae.2023.39.4.448","DOIUrl":"https://doi.org/10.5572/kosae.2023.39.4.448","url":null,"abstract":"","PeriodicalId":16269,"journal":{"name":"Journal of Korean Society for Atmospheric Environment","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49358899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.5572/kosae.2023.39.4.546
Ji-Han Song, JongHyeon Kim, Do-Young Lee, JeongHun Yu, Myeong-Sang Yu, JongHan Jung, Sung-Nam Chun, Jong-Ho Kim
{"title":"Concentration of Filterable and Condensable PM from Coal, Oil and LNG-fired Power Plants","authors":"Ji-Han Song, JongHyeon Kim, Do-Young Lee, JeongHun Yu, Myeong-Sang Yu, JongHan Jung, Sung-Nam Chun, Jong-Ho Kim","doi":"10.5572/kosae.2023.39.4.546","DOIUrl":"https://doi.org/10.5572/kosae.2023.39.4.546","url":null,"abstract":"","PeriodicalId":16269,"journal":{"name":"Journal of Korean Society for Atmospheric Environment","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41537663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.5572/kosae.2023.39.4.492
Kyucheol Hwang, Sechan Park, G. Lee, Su-Hong Noh, Jeongho Kim, Jae-Young Lee, Jong-Sung Park, Jong-Bum Kim
{"title":"Policy Recommendation for Region Air Quality Management and Change of Air Pollutants Emission in ChungNam base on Modified CAPSS","authors":"Kyucheol Hwang, Sechan Park, G. Lee, Su-Hong Noh, Jeongho Kim, Jae-Young Lee, Jong-Sung Park, Jong-Bum Kim","doi":"10.5572/kosae.2023.39.4.492","DOIUrl":"https://doi.org/10.5572/kosae.2023.39.4.492","url":null,"abstract":"","PeriodicalId":16269,"journal":{"name":"Journal of Korean Society for Atmospheric Environment","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41342620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.5572/kosae.2023.39.4.469
Chang-Jin Ma, Gong-Unn Kang
{"title":"A Study on the Air Pollution Status and Health Effects in Tokyo","authors":"Chang-Jin Ma, Gong-Unn Kang","doi":"10.5572/kosae.2023.39.4.469","DOIUrl":"https://doi.org/10.5572/kosae.2023.39.4.469","url":null,"abstract":"","PeriodicalId":16269,"journal":{"name":"Journal of Korean Society for Atmospheric Environment","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45717999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.5572/kosae.2023.39.4.478
Jeong-Tae Ju, Sang-Jin Lee, Jong-Hyuk Choi, Sung-Tae Kim, In-Ho Song, Hae-Jin Jung, Hye-Jung Shin, Jung-Min Park, Sung-Deuk Choi
{"title":"Identification of Pollution Characteristics of PM2.5 Using a Geographic Information System and Statistical Tools: A Case Study of the Southeastern and Southern Regions of South Korea","authors":"Jeong-Tae Ju, Sang-Jin Lee, Jong-Hyuk Choi, Sung-Tae Kim, In-Ho Song, Hae-Jin Jung, Hye-Jung Shin, Jung-Min Park, Sung-Deuk Choi","doi":"10.5572/kosae.2023.39.4.478","DOIUrl":"https://doi.org/10.5572/kosae.2023.39.4.478","url":null,"abstract":"","PeriodicalId":16269,"journal":{"name":"Journal of Korean Society for Atmospheric Environment","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49479424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"XAI Analysis of DNN Using PM2.5 Component Input Data and Improvement of PM2.5 Prediction Performance","authors":"Ju-Yong Lee, Chae-Yeon Lee, Min-Woo Jung, Joon-Young Ahn, Kyung-Hui Wang, Dae-Ryun Choi, Hui-Young Yun","doi":"10.5572/kosae.2023.39.4.411","DOIUrl":"https://doi.org/10.5572/kosae.2023.39.4.411","url":null,"abstract":"","PeriodicalId":16269,"journal":{"name":"Journal of Korean Society for Atmospheric Environment","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44995012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.5572/kosae.2023.39.4.557
Sumin Ok, Jungho Moon, Hyeyeon Lee, Naeun Kim, J. Yang, Jinsang Jung
{"title":"Evaluation of Detection Efficiency of HONO, HNO₃, and SO₂ by a MARGA Wet Rotating-Denuder","authors":"Sumin Ok, Jungho Moon, Hyeyeon Lee, Naeun Kim, J. Yang, Jinsang Jung","doi":"10.5572/kosae.2023.39.4.557","DOIUrl":"https://doi.org/10.5572/kosae.2023.39.4.557","url":null,"abstract":"","PeriodicalId":16269,"journal":{"name":"Journal of Korean Society for Atmospheric Environment","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42080397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.5572/kosae.2023.39.4.535
Jaewon Kim, Youngmin Noh
Using a scanning LIDAR, we measured the PM 2.5 concentration with a horizontal resolution of 30 m in the port area, industrial zones, and residential areas including Gamman Port, Bukhang Port, and Yeongdo-gu in Busan, from March 2 to May 2, 2022. Among the observation areas, we categorized them into six zones: Gamman Port (A) with ships and cargo handling equipment, residential area (B) adjacent to the port, factory area (C) where steel mills are located, redevelopment area of Bukhang Port (D), industrial area (E) with shipbuilding yards, and industrial complex (F) with ship berthing facilities. We examined the characteristics of fine particle concentration based on the concentration changes of PM 2.5 in each zone. The average concentration for the entire observation period, including all zones, was 17.0 ± 10.0 μg/m 3 . For each zone, A to F, the concentrations were 19.0 ± 12.8, 21.0 ± 14.5, 18.6 ± 12.5, 15.0 ± 7.8, 14.2 ± 7.3, and 15.9 ± 8.8 μg/m 3 , respectively. Zones A, B, and C showed higher concentrations compared to zones D, E, and F. When the wind speed was strong, the concentration difference between zones A, B, and C and zones D, E, and F was small. However, as the wind speed decreased, the concentration difference between zones became more significant. The average PM 2.5 concentration, including all zones, varied with wind direction: 14.1 ± 11.6, 17.5 ± 9.3, 19.1 ± 8.7, and 17.7 ± 6.5 μg/m 3 for east, west, south, and north winds, respectively, showing the highest concentration during south winds and the lowest during east winds. Through scanning LIDAR observations, we were able to confirm the concentration changes in each zone according to the concentration difference and variations in wind direction and speed. The results of this study indicate that scanning LIDAR can provide important information for accurately understanding the fine particle status and formulating policies for mitigation and countermeasures.
{"title":"Study on PM2.5 Emission Sources in the Vicinity of Busan Gamman Port using Scanning LIDAR Observation","authors":"Jaewon Kim, Youngmin Noh","doi":"10.5572/kosae.2023.39.4.535","DOIUrl":"https://doi.org/10.5572/kosae.2023.39.4.535","url":null,"abstract":"Using a scanning LIDAR, we measured the PM 2.5 concentration with a horizontal resolution of 30 m in the port area, industrial zones, and residential areas including Gamman Port, Bukhang Port, and Yeongdo-gu in Busan, from March 2 to May 2, 2022. Among the observation areas, we categorized them into six zones: Gamman Port (A) with ships and cargo handling equipment, residential area (B) adjacent to the port, factory area (C) where steel mills are located, redevelopment area of Bukhang Port (D), industrial area (E) with shipbuilding yards, and industrial complex (F) with ship berthing facilities. We examined the characteristics of fine particle concentration based on the concentration changes of PM 2.5 in each zone. The average concentration for the entire observation period, including all zones, was 17.0 ± 10.0 μg/m 3 . For each zone, A to F, the concentrations were 19.0 ± 12.8, 21.0 ± 14.5, 18.6 ± 12.5, 15.0 ± 7.8, 14.2 ± 7.3, and 15.9 ± 8.8 μg/m 3 , respectively. Zones A, B, and C showed higher concentrations compared to zones D, E, and F. When the wind speed was strong, the concentration difference between zones A, B, and C and zones D, E, and F was small. However, as the wind speed decreased, the concentration difference between zones became more significant. The average PM 2.5 concentration, including all zones, varied with wind direction: 14.1 ± 11.6, 17.5 ± 9.3, 19.1 ± 8.7, and 17.7 ± 6.5 μg/m 3 for east, west, south, and north winds, respectively, showing the highest concentration during south winds and the lowest during east winds. Through scanning LIDAR observations, we were able to confirm the concentration changes in each zone according to the concentration difference and variations in wind direction and speed. The results of this study indicate that scanning LIDAR can provide important information for accurately understanding the fine particle status and formulating policies for mitigation and countermeasures.","PeriodicalId":16269,"journal":{"name":"Journal of Korean Society for Atmospheric Environment","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43529269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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