Rasterizing CO2 emissions and characterizing their trends via an enhanced population-light index at multiple scales in China during 2013–2019-Reference-Cited by-同舟云学术

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Rasterizing CO2 emissions and characterizing their trends via an enhanced population-light index at multiple scales in China during 2013–2019

Published:2023-12 Issue: Volume:905 Page:167309
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Guo Bin,Xie Tingting,Zhang Wencai,Wu Haojie,Zhang Dingming,Zhu Xiaowei,Ma Xuying,Wu Min,Luo Pingping

Funder

Central South University Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference68 articles.

1. Source data supported high resolution carbon emissions inventory for urban areas of the Beijing-Tianjin-Hebei region: spatial patterns, decomposition and policy implications;Cai;J. Environ. Manag.,2018

2. Developing a high-resolution emission inventory tool for low-carbon city management using hybrid method-a pilot test in high-density Hong Kong;Cai;Energ. Buildings,2020

3. Modeling spatiotemporal carbon emissions for two mega-urban regions in China using urban form and panel data analysis;Cai;Sci. Total Environ.,2023

4. Cognition and construction of the theoretical connotations of new urbanization with Chinese characteristics;Chen;J. Geogr. Sci.,2019

5. Analysis on the carbon emission peaks of China’s industrial, building, transport, and agricultural sectors;Chen;Sci. Total Environ.,2020

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