典型文献
Spatio-temporal variations and influencing factors of energy-related carbon emissions for Xinjiang cities in China based on time-series nighttime light data
文献摘要：
This essay combines the Defense Meteorological Satellite Program Operational Linescan System(DMSP-OLS)nighttime light data and the Visible Infrared Imaging Radi-ometer Suite(VIIRS)nighttime light data into a"synthetic DMSP"dataset,from 1992 to 2020,to retrieve the spatio-temporal variations in energy-related carbon emissions in Xinjiang,China.Then,this paper analyzes several influencing factors for spatial differentiation of car-bon emissions in Xinjiang with the application of geographical detector technique.Results reveal that(1)total carbon emissions continued to grow,while the growth rate slowed down in the past five years.(2)Large regional differences exist in total carbon emissions across var-ious regions.Total carbon emissions of these regions in descending order are the northern slope of the Tianshan(Mountains)＞the southern slope of the Tianshan＞the three prefec-tures in southern Xinjiang＞the northern part of Xinjiang.(3)Economic growth,population size,and energy consumption intensity are the most important factors of spatial differentiation of carbon emissions.The interaction between economic growth and population size as well as between economic growth and energy consumption intensity also enhances the explana-tory power of carbon emissions'spatial differentiation.This paper aims to help formulate dif-ferentiated carbon reduction targets and strategies for cities in different economic develop-ment stages and those with different carbon intensities so as to achieve the carbon peak goals in different steps.
文献关键词：
中图分类号：
作者姓名：
ZHANG Li;LEI Jun;WANG Changjian;WANG Fei;GENG Zhifei;ZHOU Xiaoli
作者机构：
Xinjiang Institute of Ecology and Geography,CAS,Urumqi 830011,China;University of Chinese Academy of Sciences,Beijing 100049,China;Fujian Urban and Rural Planning&Design Institute,Fuzhou 350003,China;Guangdong Provincial Key Laboratory of Remote Sensing and Geographical Information System,Guangdong Open Laboratory of Geospatial Information Technology and Application,Guangzhou Institute of Geography,Guangdong Academy of Sciences,Guangzhou 510070,China;School of Resources and Planning,Guangzhou Xinhua University,Guangzhou 510520,China;Suzhou Honglan Data Technology Co.,Ltd,Suzhou 215000,Jiangsu,China;Urumqi Meteorological Satellite Ground Station,Urumqi 830011,China
文献出处：
引用格式：
[1]ZHANG Li;LEI Jun;WANG Changjian;WANG Fei;GENG Zhifei;ZHOU Xiaoli-.Spatio-temporal variations and influencing factors of energy-related carbon emissions for Xinjiang cities in China based on time-series nighttime light data)[J].地理学报（英文版）,2022(10):1886-1910
A类：
Linescan,Radi,prefec,explana,ferentiated
B类：
Spatio,temporal,variations,influencing,factors,energy,related,carbon,emissions,Xinjiang,cities,China,series,nighttime,light,This,essay,combines,Defense,Meteorological,Satellite,Program,Operational,System,DMSP,OLS,Visible,Infrared,Imaging,ometer,Suite,VIIRS,into,synthetic,dataset,from,retrieve,spatio,Then,this,paper,analyzes,several,spatial,differentiation,application,geographical,detector,technique,Results,reveal,that,total,continued,while,growth,slowed,down,past,five,years,Large,regional,differences,exist,across,ious,regions,Total,these,descending,order,northern,slope,Tianshan,Mountains,southern,three,tures,part,Economic,population,size,consumption,intensity,most,important,interaction,between,economic,well,also,enhances,tory,power,aims,help,formulate,reduction,targets,strategies,develop,ment,stages,those,intensities,achieve,peak,goals,steps
AB值：
0.513099
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