The moving of high emission for biomass burning in China: View from multi-year emission estimation and human-driven forces-Reference-Cited by-同舟云学术

The moving of high emission for biomass burning in China: View from multi-year emission estimation and human-driven forces

Published:2020-09 Issue: Volume:142 Page:105812
ISSN:0160-4120
Container-title:Environment International
language:en
Short-container-title:Environment International

Author:

Wu Jian,Kong Shaofei,Wu Fangqi,Cheng Yi,Zheng Shurui,Qin Si,Liu Xi,Yan Qin,Zheng Huang,Zheng Mingming,Yan Yingying,Liu Dantong,Ding Shuo,Zhao Delong,Shen Guofeng,Zhao Tianliang,Qi Shihua

Publisher

Elsevier BV

Subject

General Environmental Science

Reference92 articles.

1. Emission factors for open and domestic biomass burning for use in atmospheric models;Akagi;Atmos. Chem. Phys.,2011

2. A human-driven decline in global burned area;Andela;Science,2017

3. Recent trends in African fires driven by cropland expansion and El Niño to La Niña transition;Andela;NatureClim Change,2014

4. Emission of trace gases and aerosols from biomass burning;Andreae;Global Biogeochem. Cycles,2001

5. Interactions between rainfall, deforestation and fires during recent years in the Brazilian Amazonia;Aragão;Phil. Trans. R. Soc. B,2008

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