Carbon dioxide(CO_(2))emissions from the service industry,traffic,and secondary industry as revealed by the remotely sensed nighttime light data  

作　　者：Kaifang Shi Jingwei Shen Yizhen Wu Shirao Liu Linyi Li 

机构地区：[1]School of Geographical Sciences,Southwest University,Chongqing,People’s Republic of China [2]Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station,Southwest University,Chongqing,People’s Republic of China [3]Chongqing Engineering Research Center for Remote Sensing Big Data Application,School of Geographical Sciences,Southwest University,Chongqing,People’s Republic of China [4]School of Remote Sensing and Information Engineering,Wuhan University,Wuhan,People’s Republic of China

出　　处：《International Journal of Digital Earth》2021年第11期1514-1527,共14页国际数字地球学报（英文）

基　　金：supported by the Key Research Program of Frontier Sciences,CAS(No.QYZDB-SSW-DQC011);the MOE(Ministry of Education in China)Project of Humanities and Social Sciences(No.18XJC790011);the Fundamental Research Founds for the Central Universities(No.XDJK2020B008).

摘　　要：Exploring carbon dioxide(CO2)emissions from human activities is essential for urban energy conservation and resource management.Remotely sensed nighttime lights from the Suomi NPP-VIIRS provide spatial consistency in and a low-cost way of revealing CO2 emissions.Although many researches have documented the feasibility of the Suomi NPP-VIIRS data for assessing CO2 emissions,few have systematically revealed the ability of nighttime lights for evaluating CO2 emissions from different industries,such as service industry CO2 emissions(SC),traffic CO2 emissions(TC),and secondary industry CO2 emissions(IC).Here,China was selected as the experimental subject,and we comprehensively explored the relationships between the nighttime lights and SC,TC,and IC,and investigated the factors mediating these relationships.We found that without considering other factors,the nighttime lights only revealed up to 51.2%of TC,followed by 41.7%of IC and 22.7%of SC.When controlling for city characteristic variables,the models showed that there were positive correlations between the Suomi NPP-VIIRS data and SC,IC,and TC,and that nighttime lights have an Inverted-U relationship with SC.The Suomi NPP-VIIRS data are more suitable for revealing SC,TC,and IC in medium-sized and large-sized cities than in small-sized cities and megacities.

关 键 词：Nighttime light data Suomi NPP-VIIRS CO2 emissions transmission mechanism China 

分 类 号：F42[经济管理—产业经济]