Two winter PM2.5 pollution types and the causes in the city clusters of Sichuan Basin, Western China
PM2.5 pollution types were analyzed and the causes were uncovered in Sichuan Basin using PM2.5 data from Chinese Ministry of Environmental Protection (MEP) and multiple meteorology data during January 2015 to February 2017. The events that PM2.5 increased gradually in the periods longer than 10 days...
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Published in | The Science of the total environment Vol. 636; pp. 1228 - 1240 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
15.09.2018
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Subjects | |
Online Access | Get full text |
ISSN | 0048-9697 1879-1026 1879-1026 |
DOI | 10.1016/j.scitotenv.2018.04.393 |
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Abstract | PM2.5 pollution types were analyzed and the causes were uncovered in Sichuan Basin using PM2.5 data from Chinese Ministry of Environmental Protection (MEP) and multiple meteorology data during January 2015 to February 2017. The events that PM2.5 increased gradually in the periods longer than 10 days and then decreased sharply were defined as “Type I”, while the symmetrical variations of PM2.5 during increasing and decreasing periods were defined as “Type II” of PM2.5 pollution. Five cases of Type I and two cases of Type II were identified during the study period inside the basin. The increasing rates were almost comparable between the two PM2.5 pollution types with the range from 4 μg m−3 d−1 to 8 μg m−3 d−1, while the decreasing rates of Type I were between 25 μg m−3 d−1 and 40 μg m−3 d−1, which were 3–5 times higher than those of Type II (~8 μg m−3 d−1). The rapid reduction of PM2.5 for Type I was mainly related to improvement of vertical and horizontal diffusion conditions induced by invasion of cold air masses, while slowly decreased PM2.5 for Type II was due largely to elevated horizontal wind speeds and shifted wind directions in the city clusters of the basin.
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•Two typical PM2.5 pollution types were identified inside Sichuan Basin.•The causes of reduced PM2.5 for each type were uncovered.•Decreasing rates of Type I were 3–5 times higher than those of Type II (~8 μg m−3 d−1).•Rapid reduction of PM2.5 for Type I was mainly due to invasion of cold air masses. |
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AbstractList | PM2.5 pollution types were analyzed and the causes were uncovered in Sichuan Basin using PM2.5 data from Chinese Ministry of Environmental Protection (MEP) and multiple meteorology data during January 2015 to February 2017. The events that PM2.5 increased gradually in the periods longer than 10 days and then decreased sharply were defined as "Type I", while the symmetrical variations of PM2.5 during increasing and decreasing periods were defined as "Type II" of PM2.5 pollution. Five cases of Type I and two cases of Type II were identified during the study period inside the basin. The increasing rates were almost comparable between the two PM2.5 pollution types with the range from 4 μg m-3 d-1 to 8 μg m-3 d-1, while the decreasing rates of Type I were between 25 μg m-3 d-1 and 40 μg m-3 d-1, which were 3-5 times higher than those of Type II (~8 μg m-3 d-1). The rapid reduction of PM2.5 for Type I was mainly related to improvement of vertical and horizontal diffusion conditions induced by invasion of cold air masses, while slowly decreased PM2.5 for Type II was due largely to elevated horizontal wind speeds and shifted wind directions in the city clusters of the basin.PM2.5 pollution types were analyzed and the causes were uncovered in Sichuan Basin using PM2.5 data from Chinese Ministry of Environmental Protection (MEP) and multiple meteorology data during January 2015 to February 2017. The events that PM2.5 increased gradually in the periods longer than 10 days and then decreased sharply were defined as "Type I", while the symmetrical variations of PM2.5 during increasing and decreasing periods were defined as "Type II" of PM2.5 pollution. Five cases of Type I and two cases of Type II were identified during the study period inside the basin. The increasing rates were almost comparable between the two PM2.5 pollution types with the range from 4 μg m-3 d-1 to 8 μg m-3 d-1, while the decreasing rates of Type I were between 25 μg m-3 d-1 and 40 μg m-3 d-1, which were 3-5 times higher than those of Type II (~8 μg m-3 d-1). The rapid reduction of PM2.5 for Type I was mainly related to improvement of vertical and horizontal diffusion conditions induced by invasion of cold air masses, while slowly decreased PM2.5 for Type II was due largely to elevated horizontal wind speeds and shifted wind directions in the city clusters of the basin. PM2.5 pollution types were analyzed and the causes were uncovered in Sichuan Basin using PM2.5 data from Chinese Ministry of Environmental Protection (MEP) and multiple meteorology data during January 2015 to February 2017. The events that PM2.5 increased gradually in the periods longer than 10 days and then decreased sharply were defined as “Type I”, while the symmetrical variations of PM2.5 during increasing and decreasing periods were defined as “Type II” of PM2.5 pollution. Five cases of Type I and two cases of Type II were identified during the study period inside the basin. The increasing rates were almost comparable between the two PM2.5 pollution types with the range from 4 μg m−3 d−1 to 8 μg m−3 d−1, while the decreasing rates of Type I were between 25 μg m−3 d−1 and 40 μg m−3 d−1, which were 3–5 times higher than those of Type II (~8 μg m−3 d−1). The rapid reduction of PM2.5 for Type I was mainly related to improvement of vertical and horizontal diffusion conditions induced by invasion of cold air masses, while slowly decreased PM2.5 for Type II was due largely to elevated horizontal wind speeds and shifted wind directions in the city clusters of the basin. PM2.5 pollution types were analyzed and the causes were uncovered in Sichuan Basin using PM2.5 data from Chinese Ministry of Environmental Protection (MEP) and multiple meteorology data during January 2015 to February 2017. The events that PM2.5 increased gradually in the periods longer than 10 days and then decreased sharply were defined as “Type I”, while the symmetrical variations of PM2.5 during increasing and decreasing periods were defined as “Type II” of PM2.5 pollution. Five cases of Type I and two cases of Type II were identified during the study period inside the basin. The increasing rates were almost comparable between the two PM2.5 pollution types with the range from 4 μg m−3 d−1 to 8 μg m−3 d−1, while the decreasing rates of Type I were between 25 μg m−3 d−1 and 40 μg m−3 d−1, which were 3–5 times higher than those of Type II (~8 μg m−3 d−1). The rapid reduction of PM2.5 for Type I was mainly related to improvement of vertical and horizontal diffusion conditions induced by invasion of cold air masses, while slowly decreased PM2.5 for Type II was due largely to elevated horizontal wind speeds and shifted wind directions in the city clusters of the basin. [Display omitted] •Two typical PM2.5 pollution types were identified inside Sichuan Basin.•The causes of reduced PM2.5 for each type were uncovered.•Decreasing rates of Type I were 3–5 times higher than those of Type II (~8 μg m−3 d−1).•Rapid reduction of PM2.5 for Type I was mainly due to invasion of cold air masses. |
Author | Dong, Longxiang Yin, Daiying Li, Jianglin Yu, Ye Zhao, Suping Qin, Dahe He, Jianjun |
Author_xml | – sequence: 1 givenname: Suping surname: Zhao fullname: Zhao, Suping email: zhaosp@lzb.ac.cn organization: Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China – sequence: 2 givenname: Ye surname: Yu fullname: Yu, Ye organization: Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China – sequence: 3 givenname: Daiying surname: Yin fullname: Yin, Daiying email: yindaiying@lzb.ac.cn organization: Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China – sequence: 4 givenname: Dahe surname: Qin fullname: Qin, Dahe organization: State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China – sequence: 5 givenname: Jianjun surname: He fullname: He, Jianjun organization: State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China – sequence: 6 givenname: Jianglin surname: Li fullname: Li, Jianglin organization: Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China – sequence: 7 givenname: Longxiang surname: Dong fullname: Dong, Longxiang organization: Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China |
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SubjectTerms | air Air quality basins China environmental protection meteorological data Meteorology particulates PM2.5 pollution Sichuan Basin wind direction wind speed winter |
Title | Two winter PM2.5 pollution types and the causes in the city clusters of Sichuan Basin, Western China |
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