A hybrid approach to estimating long-term and short-term exposure levels of ozone at the national scale in China using land use regression and Bayesian maximum entropy-Reference-Cited by-同舟云学术

A hybrid approach to estimating long-term and short-term exposure levels of ozone at the national scale in China using land use regression and Bayesian maximum entropy

Published:2021-01 Issue: Volume:752 Page:141780
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Chen Li,Liang Shuang,Li Xiaoli,Mao Jian,Gao Shuang,Zhang Hui,Sun Yanling,Vedal Sverre,Bai Zhipeng,Ma Zhenxing,Haiyu ,Azzi Merched

Funder

Key Technologies Research and Development Program

Publisher

Elsevier BV

Subject

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

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