Multi-Scale Effects of Meteorological Conditions and Anthropogenic Emissions on PM2.5 Concentrations over Major Cities of the Yellow River Basin

被引:1
|
作者
Zhang, Jiejun [1 ]
Liu, Pengfei [1 ,2 ,3 ]
Song, Hongquan [2 ,3 ,4 ]
Miao, Changhong [1 ]
Yang, Jie [1 ]
Zhang, Longlong [2 ]
Dong, Junwu [5 ]
Liu, Yi [1 ]
Zhang, Yunlong [2 ]
Li, Bingchen [2 ]
机构
[1] Henan Univ, Key Res Inst Yellow River Civilizat & Sustainable, Kaifeng 475004, Peoples R China
[2] Henan Univ, Coll Geog & Environm Sci, Kaifeng 475004, Peoples R China
[3] Henan Univ, Inst Urban Big Data, Kaifeng 475004, Peoples R China
[4] Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China
[5] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
关键词
air pollution; PM2; 5; GeoDetector model; interactive effects; the Yellow River Basin; INORGANIC AEROSOL FORMATION; AIR-POLLUTION PREVENTION; CONTROL ACTION PLAN; PARTICULATE MATTER; DELTA REGION; URBAN FORM; HETEROGENEOUS CHEMISTRY; CHEMICAL-COMPOSITION; AMMONIA EMISSIONS; EXPLOSIVE GROWTH;
D O I
10.3390/ijerph192215060
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The mechanism behind PM2.5 pollution is complex, and its performance at multi-scales is still unclear. Based on PM2.5 monitoring data collected from 2015 to 2021, we used the GeoDetector model to assess the multi-scale effects of meteorological conditions and anthropogenic emissions, as well as their interactions with PM2.5 concentrations in major cities in the Yellow River Basin (YRB). Our study confirms that PM2.5 concentrations in the YRB from 2015 to 2021 show an inter-annual and inter-season decreasing trend and that PM2.5 concentrations varied more significantly in winter. The inter-month variation of PM2.5 concentrations shows a sinusoidal pattern from 2015 to 2021, with the highest concentrations in January and December and the lowest from June to August. The PM2.5 concentrations for major cities in the middle and downstream regions of the YRB are higher than in the upper areas, with high spatial distribution in the east and low spatial distribution in the west. Anthropogenic emissions and meteorological conditions have similar inter-annual effects, while air pressure and temperature are the two main drivers across the whole basin. At the sub-basin scale, meteorological conditions have stronger inter-annual effects on PM2.5 concentrations, of which temperature is the dominant impact factor. Wind speed has a significant effect on PM2.5 concentrations across the four seasons in the downstream region and has the strongest effect in winter. Primary PM2.5 and ammonia are the two main emission factors. Interactions between the factors significantly enhanced the PM2.5 concentrations. The interaction between ammonia and other emissions plays a dominant role at the whole and sub-basin scales in summer, while the interaction between meteorological factors plays a dominant role at the whole-basin scale in winter. Our study not only provides cases and references for the development of PM2.5 pollution prevention and control policies in YRB but can also shed light on similar regions in China as well as in other regions of the world.
引用
下载
收藏
页数:17
相关论文
共 40 条
  • [11] PM2.5 Concentrations Variability in North China Explored with a Multi-Scale Spatial Random Effect Model
    Zhang, Hang
    Liu, Yong
    Yang, Dongyang
    Dong, Guanpeng
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (17)
  • [12] Meteorological effects on particulate matter PM10, PM2.5 concentrations with diurnal and seasonal variations in cities neighboring desert lands
    Shihab, Abdulmuhsin S.
    NATURAL HAZARDS, 2024, 120 (12) : 11293 - 11321
  • [13] Extraction of multi-scale features enhances the deep learning-based daily PM2.5 forecasting in cities
    Dong, Liang
    Hua, Pei
    Gui, Dongwei
    Zhang, Jin
    CHEMOSPHERE, 2022, 308
  • [14] Extraction of multi-scale features enhances the deep learning-based daily PM2.5 forecasting in cities
    Dong, Liang
    Hua, Pei
    Gui, Dongwei
    Zhang, Jin
    Chemosphere, 2022, 308
  • [15] Variability in PM2.5 and meteorological effects on their mass concentrations over Fuzhou, China during 2014-2016
    Li, Junyi
    Huang, Yulin
    Sun, Danmei
    Xu, Zhixin
    Lan, Yuxiang
    Chen, Ye
    Dong, Jianwen
    2ND INTERNATIONAL CONFERENCE ON AIR POLLUTION AND ENVIRONMENTAL ENGINEERING, 2020, 450
  • [16] Influence of boundary conditions and anthropogenic emission inventories on simulated O3 and PM2.5 concentrations over Lebanon
    Abdallah, C.
    Sartelet, K.
    Afif, C.
    ATMOSPHERIC POLLUTION RESEARCH, 2016, 7 (06) : 971 - 979
  • [17] Characterization of winter PM2.5 source contributions and impacts of meteorological conditions and anthropogenic emission changes in the Sichuan Basin, 2002-2020
    Xian, Yaohan
    Zhang, Yang
    Liu, Zhihong
    Wang, Haofan
    Xiong, Tianxin
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 947
  • [18] The Impacts of Changes in Anthropogenic Emissions Over China on PM2.5 Concentrations in South Korea and Japan During 2013-2017
    Xie, Peifu
    Liao, Hong
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [19] Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing
    Zhang, Ziyin
    Zhang, Xiaoling
    Gong, Daoyi
    Quan, Weijun
    Zhao, Xiujuan
    Ma, Zhiqiang
    Kim, Seong-Joong
    ATMOSPHERIC ENVIRONMENT, 2015, 108 : 67 - 75
  • [20] Analysis of Spatial Heterogeneity and the Scale of the Impact of Changes in PM2.5 Concentrations in Major Chinese Cities between 2005 and 2015
    Wei, Feili
    Li, Shuang
    Liang, Ze
    Huang, Aiqiong
    Wang, Zheng
    Shen, Jiashu
    Sun, Fuyue
    Wang, Yueyao
    Wang, Huan
    Li, Shuangcheng
    ENERGIES, 2021, 14 (11)