Modeling groundwater redox conditions at national scale through integration of sediment color and water chemistry in a machine learning framework-Reference-Cited by-同舟云学术

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Modeling groundwater redox conditions at national scale through integration of sediment color and water chemistry in a machine learning framework

Published:2024-10 Issue: Volume:947 Page:174533
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Koch Julian,Kim Hyojin,Tirado-Conde Joel,Hansen Birgitte,Møller Ingelise,Thorling Lærke,Troldborg Lars,Voutchkova Denitza,Højberg Anker Lajer

Publisher

Elsevier BV

Reference54 articles.

1. Global diagnosis of nitrate pollution in groundwater and review of removal technologies;Abascal;Sci. Total Environ.,2022

2. High-resolution 3-D mapping of soil texture in Denmark;Adhikari;Soil Sci. Soc. Am. J.,2013

3. Digital mapping of soil organic carbon contents and stocks in Denmark;Adhikari;PLoS One,2014

4. Mapping of nitrogen risk areas;Blicher-Mathiesen;Agric. Ecosyst. Environ.,2014

5. Redox potential is a robust indicator for decomposition processes in drained agricultural peat soils: a valuable tool in monitoring peatland wetting efforts;Boonman;Geoderma,2024

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