China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data

China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data

Abstract Accurate, long-term, full-coverage carbon dioxide (CO2) data in units of prefecture-level cities are necessary for evaluations of CO2 emission reductions in China, which has become one of the world’s largest carbon-emitting countries. This study develops a novel method to match satellite-ba...

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Main Authors: Jiandong Chen, Ming Gao, Shulei Cheng, Xin Liu, Wenxuan Hou, Malin Song, Ding Li, Wei Fan
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-81754-y
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spelling doaj-2a8be90804ad46ce9909168ca5e953532021-02-14T12:33:45ZengNature Publishing GroupScientific Reports2045-23222021-02-0111111310.1038/s41598-021-81754-yChina’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light dataJiandong Chen0Ming Gao1Shulei Cheng2Xin Liu3Wenxuan Hou4Malin Song5Ding Li6Wei Fan7School of Public Administration, Southwestern University of Finance and EconomicsSchool of Public Administration, Southwestern University of Finance and EconomicsSchool of Public Administration, Southwestern University of Finance and EconomicsCurtin University Sustainability Policy Institute, Curtin UniversitySchool of Finance, Shanghai Lixin University of Accounting and FinanceSchool of Statistics and Applied Mathematics, Anhui University of Finance and EconomicsInstitute of Development Studies, Southwestern University of Finance and EconomicsWest Center for Economic Research, Southwestern University of Finance and EconomicsAbstract Accurate, long-term, full-coverage carbon dioxide (CO2) data in units of prefecture-level cities are necessary for evaluations of CO2 emission reductions in China, which has become one of the world’s largest carbon-emitting countries. This study develops a novel method to match satellite-based Defense Meteorological Satellite Program’s Operational Landscan System (DMSP/OLS) and Suomi National Polar-orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data, and estimates the CO2 emissions of 334 prefecture-level cities in China from 1992 to 2017. Results indicated that the eastern and coastal regions had higher carbon emissions, but their carbon intensity decreased more rapidly than other regions. Compared to previous studies, we provide the most extensive and long-term CO2 dataset to date, and these data will be of great value for further socioeconomic research. Specifically, this dataset provides a foundational data source for China’s future CO2 research and emission reduction strategies. Additionally, the methodology can be applied to other regions around the world.https://doi.org/10.1038/s41598-021-81754-y
collection DOAJ
language English
format Article
sources DOAJ
author Jiandong Chen
Ming Gao
Shulei Cheng
Xin Liu
Wenxuan Hou
Malin Song
Ding Li
Wei Fan
spellingShingle Jiandong Chen
Ming Gao
Shulei Cheng
Xin Liu
Wenxuan Hou
Malin Song
Ding Li
Wei Fan
China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
Scientific Reports
author_facet Jiandong Chen
Ming Gao
Shulei Cheng
Xin Liu
Wenxuan Hou
Malin Song
Ding Li
Wei Fan
author_sort Jiandong Chen
title China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
title_short China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
title_full China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
title_fullStr China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
title_full_unstemmed China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
title_sort china’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-02-01
description Abstract Accurate, long-term, full-coverage carbon dioxide (CO2) data in units of prefecture-level cities are necessary for evaluations of CO2 emission reductions in China, which has become one of the world’s largest carbon-emitting countries. This study develops a novel method to match satellite-based Defense Meteorological Satellite Program’s Operational Landscan System (DMSP/OLS) and Suomi National Polar-orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data, and estimates the CO2 emissions of 334 prefecture-level cities in China from 1992 to 2017. Results indicated that the eastern and coastal regions had higher carbon emissions, but their carbon intensity decreased more rapidly than other regions. Compared to previous studies, we provide the most extensive and long-term CO2 dataset to date, and these data will be of great value for further socioeconomic research. Specifically, this dataset provides a foundational data source for China’s future CO2 research and emission reduction strategies. Additionally, the methodology can be applied to other regions around the world.
url https://doi.org/10.1038/s41598-021-81754-y
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