Spatial and temporal evolution of air pollution and verification of the environmental Kuznets curve in the Yangtze River Basin during 1980—2019

IF 3.7 4区 地球科学 Q2 REMOTE SENSING
Peipei He, Jingru Lv, Lijie He, Kaifeng Ma, Qingfeng Hu, Xin Liu
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Abstract

Continuously high concentrations of haze pollution can hinder urban economic development. In order to improve the quality of the environment in the Yangtze River Economic Belt, it is necessary to investigate the spatio-temporal characteristics and impact factors of smog. This study, relying on multi-source remote sensing data, conducted a comprehensive study on the concentration of haze pollution based on long-term data, multiple spatial scales and pollution indicators. The results showed that the concentrations of seven air pollutants (PM2.5, SO4, SO2, BC, OC, SS and dust) in the Yangtze River Basin appeared to first increase and then decreased from 1980 to 2019. Dust pollution and sea salt pollution were concentrated in the upper reaches of the Yangtze River and the coastal areas of the Yangtze River Delta, while other pollutants were higher in the Sichuan Basin and northeast of the Yangtze River. Of the socioeconomic factors, the significance of different factors on pollutant concentration was obviously different. In addition, the environmental Kuznets curve relationship between economic gain and air pollution depended on the type of pollutant, and there were certain regional differences. This study provided a scientific basis for considering innovations in haze control in the urban agglomeration of the Yangtze River Economic Belt.
1980-2019年长江流域大气污染时空演变及环境库兹涅茨曲线的验证
持续高浓度的雾霾污染会阻碍城市经济发展。为了改善长江经济带的环境质量,有必要研究雾霾的时空特征及其影响因素。本研究依托多源遥感数据,基于长期数据、多空间尺度和污染指标,对雾霾污染浓度进行了综合研究。结果表明:1980 - 2019年,长江流域7种大气污染物(PM2.5、SO4、SO2、BC、OC、SS和粉尘)浓度呈现先上升后下降的趋势;扬尘污染和海盐污染主要集中在长江上游和长三角沿海地区,其他污染物在四川盆地和长江东北部较高。在社会经济因素中,不同因素对污染物浓度影响的显著性存在明显差异。此外,经济收益与大气污染的环境库兹涅茨曲线关系取决于污染物类型,且存在一定的区域差异。本研究为考虑长江经济带城市群雾霾治理创新提供了科学依据。
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来源期刊
CiteScore
7.00
自引率
2.50%
发文量
51
审稿时长
>12 weeks
期刊介绍: European Journal of Remote Sensing publishes research papers and review articles related to the use of remote sensing technologies. The Journal welcomes submissions on all applications related to the use of active or passive remote sensing to terrestrial, oceanic, and atmospheric environments. The most common thematic areas covered by the Journal include: -land use/land cover -geology, earth and geoscience -agriculture and forestry -geography and landscape -ecology and environmental science -support to land management -hydrology and water resources -atmosphere and meteorology -oceanography -new sensor systems, missions and software/algorithms -pre processing/calibration -classifications -time series/change analysis -data integration/merging/fusion -image processing and analysis -modelling European Journal of Remote Sensing is a fully open access journal. This means all submitted articles will, if accepted, be available for anyone to read anywhere, at any time, immediately on publication. There are no charges for submission to this journal.
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