Research on PM2.5 estimation and prediction method and changing characteristics analysis under long temporal and large spatial scale - A case study in China typical regions-Reference-Cited by-同舟云学术

Research on PM2.5 estimation and prediction method and changing characteristics analysis under long temporal and large spatial scale - A case study in China typical regions

Published:2019-12 Issue: Volume:696 Page:133983
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Yi Luo^ORCID,Mengfan Teng,Kun Yang,Yu Zhu,Xiaolu Zhou,Miao Zhang,Yan Shi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference50 articles.

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3. An integrated PM2.5 source apportionment study: positive matrix factorisation vs. the chemical transport model CAMx;Bove;Atmos. Environ.,2014

4. Fifteen-year global time series of satellite-derived fine particulate matter;Boys;Environmental Science & Technology,2014

5. Analysis of drought hazards in North China: distribution and interpretation;Chen;Nat. Hazards,2013

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