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Source appointment of nitrogen in PM2.5 based on bulk δ15N signatures and a Bayesian isotope mixing model Cover

Source appointment of nitrogen in PM2.5 based on bulk δ15N signatures and a Bayesian isotope mixing model

Open Access
|Jan 2017

Authors

Yan-Li Wang

info@ubiquitypress.com

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences; Chinese Academy for Environmental Planning

Xue-Yan Liu

liuxueyan@tju.edu.cn

Institute of Surface-Earth System Science, Tianjin University; State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences

Wei Song

info@ubiquitypress.com

Institute of Surface-Earth System Science, Tianjin University

Wen Yang

info@ubiquitypress.com

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences

Bin Han

info@ubiquitypress.com

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences

Xiao-Yan Dou

info@ubiquitypress.com

Qinghai Environmental Monitoring Center

Xu-Dong Zhao

info@ubiquitypress.com

Qinghai Environmental Monitoring Center

Zhao-Liang Song

info@ubiquitypress.com

Institute of Surface-Earth System Science, Tianjin University; State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences

Cong-Qiang Liu

info@ubiquitypress.com

Institute of Surface-Earth System Science, Tianjin University; State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences

Zhi-Peng Bai

baizp@craes.org.cn

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences
Language: English
Page range: 1299672 - 1299672
Submitted on: Jan 20, 2017
Accepted on: Feb 20, 2017
Published on: Jan 1, 2017
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2017 Yan-Li Wang, Xue-Yan Liu, Wei Song, Wen Yang, Bin Han, Xiao-Yan Dou, Xu-Dong Zhao, Zhao-Liang Song, Cong-Qiang Liu, Zhi-Peng Bai, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.