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Predicting in-stream water quality constituents at the watershed scale using machine learning.
J Contam Hydrol. 2022 Dec;251:104078. doi: 10.1016/j.jconhyd.2022.104078. Epub 2022 Sep 15.
J Contam Hydrol. 2022.
PMID: 36206579
Risk-based decision making to evaluate pollutant reduction scenarios.
Ahmadisharaf E, Benham BL.
Ahmadisharaf E, et al.
Sci Total Environ. 2020 Feb 1;702:135022. doi: 10.1016/j.scitotenv.2019.135022. Epub 2019 Nov 3.
Sci Total Environ. 2020.
PMID: 31731127
Free article.
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An integrated approach for prioritization of river water quality sampling points using modified Sanders, analytic network process, and hydrodynamic modeling.
Asadi A, Moghaddam Nia A, Bakhtiari Enayat B, Alilou H, Ahmadisharaf E, Kimutai Kanda E, Chessum Kipkorir E.
Asadi A, et al. Among authors: ahmadisharaf e.
Environ Monit Assess. 2021 Jul 9;193(8):482. doi: 10.1007/s10661-021-09272-y.
Environ Monit Assess. 2021.
PMID: 34241689
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Scale-dependent impacts of urban and agricultural land use on nutrients, sediment, and runoff.
Lacher IL, Ahmadisharaf E, Fergus C, Akre T, Mcshea WJ, Benham BL, Kline KS.
Lacher IL, et al. Among authors: ahmadisharaf e.
Sci Total Environ. 2019 Feb 20;652:611-622. doi: 10.1016/j.scitotenv.2018.09.370. Epub 2018 Oct 9.
Sci Total Environ. 2019.
PMID: 30368190
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