A comprehensive investigation of PM2.5 in the Huaihe River Basin, China: Separating the contributions from meteorology and emission reductions

被引:9
|
作者
Liu, Xiaoyong [1 ,2 ]
Niu, Jiqiang [1 ,2 ]
Wang, Zifa [3 ]
Pan, Xiaole [3 ]
Su, Fangcheng [4 ]
Yao, Dan [5 ]
Zhu, Ming [1 ]
Yan, Jun [1 ]
Yan, Junhui [1 ,2 ]
Yao, Gaowei [1 ]
机构
[1] Xinyang Normal Univ, Sch Geog Sci, Xinyang 464000, Peoples R China
[2] Xinyang Normal Univ, Henan Key Lab Synergist Prevent Water & Soil Envir, Xinyang 464000, Peoples R China
[3] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atmo, Beijing 100029, Peoples R China
[4] Zhengzhou Univ, Coll Chem & Mol Engn, Zhengzhou 450001, Peoples R China
[5] Henan Normal Univ, Sch Environm, Key Lab Yellow River & Huai River Water Environm &, Minist Educ, Xinxiang 453007, Peoples R China
关键词
PM2; 5; KZ filter; Meteorology; Emission; Huaihe River Basin; SURFACE OZONE; SOURCE APPORTIONMENT; EASTERN CHINA; AIR-QUALITY; TIME-SERIES; POLLUTION; TRENDS; IMPACT; HAZE; SECONDARY;
D O I
10.1016/j.apr.2023.101647
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Due to anthropogenic emission reductions, the mass concentration of fine particulate matter (PM2.5) in China has markedly decreased in recent years. In this study, we selected the Huaihe River Basin (HRB), which is located in the middle of the North-South climatic transition zone of China, to investigate the reasons for the decrease in the PM2.5 concentration. Based on the observed PM2.5 concentration and meteorological data for 2015-2020, the Kolmogorov-Zurbenko (KZ) filter method was employed to decompose the original time series of the PM2.5 concentration. The results demonstrate that the short-term (PM2.5ST), seasonal (PM2.5SN), and long-term (PM2.5LT) components of PM2.5 variations over the HRB accounted for 55.6%, 34.7%, and 4.4% of the total variance, respectively. PM2.5 variations in coastal cities and cities with relatively high latitudes and longitudes were more affected by the short-term component. It was identified that the PM2.5 concentration in the HRB declined at a rate of 2.58-8.12 mu g/m3/year. The meteorological conditions and emission reductions all positively influenced the PM2.5 decrease, which contributed 30.09% and 69.91%, respectively, to the PM2.5LT decrease in the HRB. It is noteworthy that with the PM2.5 decrease, the conversion efficiency of SO2 to sulfate and NO2 to nitrate might be enhanced. The unbalanced emission reductions in SO2 and NO2 are not conducive to the further decline in PM2.5. This study suggests that more efforts should be made to control NO2 emissions in the HRB.
引用
收藏
页数:10
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