Using Visibility to Estimate PM2.5 Concentration Trends in Seoul and Chuncheon from 1982 to 2014

被引:3
|
作者
Lee, Yong-Hee [1 ]
Kwak, Kyung-Hwan [2 ]
机构
[1] Kangwon Natl Univ, Dept Environm Sci, Chunchon, South Korea
[2] Kangwon Natl Univ, Sch Nat Resources & Environm Sci, Chunchon, South Korea
关键词
PM2.5; Visibility; Long-term trend; Seoul; Chuncheon;
D O I
10.5572/KOSAE.2018.34.1.156
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Long-term trend analysis on air pollutant concentrations is very important to diagnose the present status and plan for the future. In this study, the long-term trends of PM2.5 concentrations were estimated based on the relationship between the visibility and PM2.5 concentration regarding the effects of relative humidity in Seoul and Chuncheon. The relationships between the visibility and PM2.5 concentration were derived from the measurement data in 2015 and 2016. Then, the annual trends of PM2.5 concentration from 1982 to 2014 were estimated and compared to those of PM10 concentration available in Seoul and Chuncheon. During the estimation process, four ranges of relative humidity were considered such as less than 30%, 31 similar to 50%, 51 similar to 70%, and 71 similar to 90%. In Seoul and Chuncheon, the visibility and PM2.5 concentration generally have the inverse relationship while the visibility decreases as the relative humidity increases. The estimated PM2.5 concentrations similarly showed the decreasing tendencies from 2006 to 2012 in Seoul and Chuncheon. However, the estimated PM2.5 concentrations showed the increasing tendency before 2005 in Chuncheon in contrast to the decreasing tendency in Seoul. This implies that the long-term trends of PM2.5 concentration in different cities in South Korea reflect the local influencing factors. For example, 'Special Act on the Improvement of Atmospheric Environment in the Seoul Metropolitan Area' can affect the different long-term trends in Seoul and Chuncheon. The estimated PM2.5 concentrations were validated with the measured ones in Seoul and Chuncheon. While the general tendencies were well matched between the estimated and measured concentrations, the PM2.5 concentration trends in 1990s and their monthly variations are needed to be improved quantitatively using more reference data for longer years.
引用
收藏
页码:156 / 165
页数:10
相关论文
共 50 条
  • [21] Impact of Air Humidity on PM2.5 Mass Concentration and Visibility During Winter in Tianjin
    Ding J.
    Tang Y.-X.
    Hao T.-Y.
    Yao Q.
    Cai Z.-Y.
    Zhang Y.-F.
    Han S.-Q.
    Huanjing Kexue/Environmental Science, 2021, 42 (11): : 5143 - 5151
  • [22] Using a Citizen-installed Network of PM2.5 Sensors to Predict Hourly PM2.5 Airborne Concentration
    Nastic, Filip
    Jurisevic, Nebojsa
    Konalovic, Davor
    WATER AIR AND SOIL POLLUTION, 2025, 236 (02):
  • [23] Long-term Trends of the Concentrations of Mass and Chemical Composition in PM2.5 over Seoul
    Han, Sang Hee
    Kim, Yong Pyo
    JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2015, 31 (02) : 143 - 156
  • [24] The effect of the ultra-low emission zone on PM2.5 concentration in Seoul, South Korea
    Park, Dongkyu
    Lim, Byung In
    ATMOSPHERIC ENVIRONMENT, 2025, 340
  • [25] Temporal variation of sulfate concentration in PM2.5 and major factors enhancing sulfate concentration in the atmosphere of Seoul, Korea
    Na Kyung Kim
    In Sun Kim
    In Ho Song
    Seung Myung Park
    Hyung Bae Lim
    Yong Pyo Kim
    Hye Jung Shin
    Ji Yi Lee
    Air Quality, Atmosphere & Health, 2021, 14 : 985 - 999
  • [26] Temporal variation of sulfate concentration in PM2.5 and major factors enhancing sulfate concentration in the atmosphere of Seoul, Korea
    Kim, Na Kyung
    Kim, In Sun
    Song, In Ho
    Park, Seung Myung
    Lim, Hyung Bae
    Kim, Yong Pyo
    Shin, Hye Jung
    Lee, Ji Yi
    AIR QUALITY ATMOSPHERE AND HEALTH, 2021, 14 (07): : 985 - 999
  • [27] ESTIMATE PM2.5 CONCENTRATION IN 500M RESOLUTION FROM SATELLITE DATA AND GROUND OBSERVATION
    Wu, Lixin
    Bai, Yang
    Zhang, Yuanyuan
    Li, Jiale
    Han, Yafang
    Qin, Kai
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 5716 - 5719
  • [28] Interpretation of trends of PM(2.5) and reconstructed visibility from the IMPROVE network
    Sisler, J.F.
    Malm, W.C.
    Journal of the Air and Waste Management Association, 2000, 50 (05): : 775 - 789
  • [29] Analysis of spatiotemporal PM2.5 concentration patterns in Changwon, Korea, using low-cost PM2.5 sensors
    Song, Bonggeun
    Park, Kyunghun
    Kim, Taehyeung
    Seo, Gyeongho
    URBAN CLIMATE, 2022, 46
  • [30] Changing PM2.5 concentrations in China from 1998 to 2014
    Li, Guangdong
    Sun, Siao
    ENVIRONMENT AND PLANNING A, 2018, 50 (01) : 5 - 8