Constraining Atmospheric Selenium Emissions Using Observations, Global Modeling, and Bayesian Inference-Reference-Cited by-同舟云学术

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Constraining Atmospheric Selenium Emissions Using Observations, Global Modeling, and Bayesian Inference

Published:2020-05-13 Issue:12 Volume:54 Page:7146-7155
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Feinberg Aryeh¹²³^ORCID,Stenke Andrea¹,Peter Thomas¹,Winkel Lenny H. E.²³^ORCID

Affiliation:

1. Institute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland

2. Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, Zurich 8092, Switzerland

3. Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf 8600, Switzerland

Funder

Eidgen?ssische Technische Hochschule Z?rich

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acs.est.0c01408

Reference78 articles.

1. Fordyce, F. M. Essentials of Medical Geology; Springer, 2013; pp 375–416.

2. Selenium Cycling Across Soil-Plant-Atmosphere Interfaces: A Critical Review

3. Regional distribution of selenium and arsenic in humus layers of Norwegian forest soils

4. Long-term change in the biogeochemical cycling of atmospheric selenium: Deposition to plants and soil

5. Historical changes in the concentrations of selenium in soil and wheat grain from the Broadbalk experiment over the last 160 years

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