Spatial-temporal characteristics and peak analysis of industrial carbon emissions in the western region
Taking the industrial industry in the western region as the research object,this paper optimizes the carbon emission measurement method,analyzes the spatiotemporal characteristics of industrial carbon emissions in the western region on the basis of reasonable quantification of industrial carbon emissions in the western region,constructs a BP neural network model to predict the industrial carbon emissions in the western region,and explores its peak from the perspectives of total carbon emissions and intensity.The results show that the industrial carbon emissions in the western region generally show an upward trend in 2000～2019,with the spatial distribution characteristics of'medium low and high outside'.Sichuan,Guizhou,Yunnan,Gansu and Xinjiang in the western region may reach peak before 2030,and Inner Mongolia,Qinghai,Shaanxi,Guangxi,Ningxia and Chongqing may reach the peak later than 2030.In terms of carbon emission intensity reduction targets,it is predicted that only Inner Mongolia,Xinjiang and Qinghai regions in the western region will not be able to complete the carbon emission intensity reduction targets.
western regioncarbon emissionsemission factor methodBP neural networkspatiotemporal characteristicscarbon peaking
国家科技期刊平台
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