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Temporal And Spatial Evolution Of PM2.5 Concentration And It's Socio-economic Impact Mechanism In The Yangtze River Economic Belt

Posted on:2021-05-25Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhenFull Text:PDF
GTID:2381330620468224Subject:Cartography and Geographic Information System
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PM2.5 has a significant negative impact on human health.PM2.5.5 pollution has become a hot issue of that governments,scholars and the public all over the world pay attention to and study.Since 2000,the Yangtze River economic belt has experienced rapid development,high-intensity human social and economic activities have caused environmental pollution.It is of great significance to scientifically identify the temporal and spatial variation law and influence mechanism of PM2.5.5 concentration in the Yangtze River economic belt,and to promote the joint prevention and treatment of regional air pollution and to improve air quality.Based on the remote sensing retrieved PM2.5 concentration data and socio-economic data from 2000 to 2017,this paper analyzes the evolution process of PM2.5concentration distribution in the Yangtze River economic belt by using exploratory spatial analysis method.The influences of social and economic factors,including urbanization rate,industrial structure,industrial level,economic development level and built-up area,on the spatial difference of PM2.5 concentration and the temporal and spatial evolution of PM2.5 concentration are discussed.The results show that:?1?From 2000 to 2017,the average value of PM2.5.5 concentration in the Yangtze River economic belt was 32.54?g/m3,and the annual fluctuation showed an overall upward trend.Among them,the high value of multi-year average PM2.5 concentration is mainly distributed in the Yangtze River Delta city group,the middle reaches of the Yangtze River city group and Chengdu Chongqing city group,and the low value is mainly distributed in Yunnan,Western Sichuan,Western Guizhou.?2?The spatial distribution of PM2.5 on the urban scale has a very significant correlation,mainly showing a high-level agglomeration and low-level agglomeration mode.Among them,high and high concentration cities are mainly distributed in Jiangsu,north central Anhui,North Hubei and North Zhejiang.The PM2.5concentration of these cities is high,and the PM2.5 concentration of surrounding cities is also high.Low and low concentration cities are mainly distributed in the West and south of Sichuan,Yunnan and the west of Guizhou.The concentration of PM2.5 in these cities is low,and the concentration of PM2.5 in surrounding cities is also low.?3?The results of the Geodetector model show that the built-up area has the greatest influence on the spatial difference of PM2.5 concentration,and the second is the industrial level.The interaction effect of social and economic factors including urbanization rate,industrial structure,industrial level,economic development level and built-up area on PM2.5 concentration is greater than the sum of two independent variables,and the interaction relationship shows nonlinear enhancement.Among them,the interaction between economic development level and other factors will greatly increase the influence of social and economic factors.?4?The results of Spatial Error Model show that industrial structure,economic development level,industrial level and built-up area have a positive impact on the spatial and temporal evolution of PM2.5 concentration,while urbanization has a negative impact on the spatial and temporal evolution of PM2.5 concentration.Among them,the influence coefficient of industrial structure on the spatial and temporal evolution of PM2.5 concentration passed the significance test of 0.01 level,and that of economic development level on the spatial and temporal evolution of PM2.5concentration passed the significance test of 0.1 level.Industrial level,built-up area and urbanization rate have no significant effect on the spatial and temporal evolution of PM2.5 concentration.
Keywords/Search Tags:PM2.5, evolution of time and space, spatial panel model, influencing mechanism, Yangtze River Economic Belt
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