Identifying watershed predictors of surface water quality through iterative input selection
Author:
Funder
Universidad del Tolima
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13762-022-04406-2.pdf
Reference146 articles.
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4. Ahmed MH, Lin L-S (2021) Dissolved oxygen concentration predictions for running waters with different land use land cover using a quantile regression forest machine learning technique. J Hydrol 597:126213
5. Almeida C, Ramos TB, Segurado P, Branco P, Neves R, Proença De Oliveira R (2018) Water quantity and quality under future climate and societal scenarios: a basin-wide approach applied to the Sorraia River, Portugal. Water 10(9):1186
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