Yakov A. Pachepsky - Search Results

Year	Number of Results
2004	1
2007	1
2008	1
2009	2
2010	1
2011	2
2012	2
2013	2
2014	2
2015	5
2016	5
2017	3
2018	5
2019	2
2020	1
2021	1
2022	2
2024	1
2025	0

1

Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities.

Cho KH, Pachepsky YA, Oliver DM, Muirhead RW, Park Y, Quilliam RS, Shelton DR. Cho KH, et al. Among authors: pachepsky ya. Water Res. 2016 Sep 1;100:38-56. doi: 10.1016/j.watres.2016.04.064. Epub 2016 Apr 29. Water Res. 2016. PMID: 27176652 Free article. Review.

2

Intra-daily variation of Escherichia coli concentrations in agricultural irrigation ponds.

Stocker MD, Smith JE, Hill RL, Pachepsky YA. Stocker MD, et al. Among authors: pachepsky ya. J Environ Qual. 2022 Jul;51(4):719-730. doi: 10.1002/jeq2.20352. Epub 2022 May 25. J Environ Qual. 2022. PMID: 35419843

3

Irrigation waters and pipe-based biofilms as sources for antibiotic-resistant bacteria.

Blaustein RA, Shelton DR, Van Kessel JA, Karns JS, Stocker MD, Pachepsky YA. Blaustein RA, et al. Among authors: pachepsky ya. Environ Monit Assess. 2016 Jan;188(1):56. doi: 10.1007/s10661-015-5067-4. Epub 2015 Dec 24. Environ Monit Assess. 2016. PMID: 26703979

4

Capturing Microbial Sources Distributed in a Mixed-use Watershed within an Integrated Environmental Modeling Workflow.

Whelan G, Kim K, Parmar R, Laniak GF, Wolfe K, Galvin M, Molina M, Pachepsky YA, Duda P, Zepp R, Prieto L, Kinzelman JL, Kleinheinz GT, Borchardt MA. Whelan G, et al. Among authors: pachepsky ya. Environ Model Softw. 2018 Jan;99:126-146. doi: 10.1016/j.envsoft.2017.08.002. Environ Model Softw. 2018. PMID: 30078989 Free PMC article.

5

Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment.

Kim M, Boithias L, Cho KH, Silvera N, Thammahacksa C, Latsachack K, Rochelle-Newall E, Sengtaheuanghoung O, Pierret A, Pachepsky YA, Ribolzi O. Kim M, et al. Among authors: pachepsky ya. Water Res. 2017 Aug 1;119:102-113. doi: 10.1016/j.watres.2017.04.038. Epub 2017 Apr 15. Water Res. 2017. PMID: 28436821

6

Colloid filtration in surface dense vegetation: experimental results and theoretical predictions.

Wu L, Muñoz-Carpena R, Gao B, Yang W, Pachepsky YA. Wu L, et al. Among authors: pachepsky ya. Environ Sci Technol. 2014 Apr 1;48(7):3883-90. doi: 10.1021/es404603g. Epub 2014 Mar 14. Environ Sci Technol. 2014. PMID: 24597773

7

Prediction of contamination potential of groundwater arsenic in Cambodia, Laos, and Thailand using artificial neural network.

Cho KH, Sthiannopkao S, Pachepsky YA, Kim KW, Kim JH. Cho KH, et al. Among authors: pachepsky ya. Water Res. 2011 Nov 1;45(17):5535-44. doi: 10.1016/j.watres.2011.08.010. Epub 2011 Aug 27. Water Res. 2011. PMID: 21917287

8

Depth-Dependent Response of Fecal Indicator Bacteria in Sediments to Changes in Water Column Nutrient Levels.

Smith JE, Kiefer LA, Stocker MD, Blaustein RA, Ingram S, Pachepsky YA. Smith JE, et al. Among authors: pachepsky ya. J Environ Qual. 2019 Jul;48(4):1074-1081. doi: 10.2134/jeq2018.12.0450. J Environ Qual. 2019. PMID: 31589666

9

Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms.

Stocker MD, Pachepsky YA, Hill RL. Stocker MD, et al. Among authors: pachepsky ya. Front Artif Intell. 2022 Jan 11;4:768650. doi: 10.3389/frai.2021.768650. eCollection 2021. Front Artif Intell. 2022. PMID: 35088045 Free PMC article.

10

Biofilm morphology as related to the porous media clogging.

Kim JW, Choi H, Pachepsky YA. Kim JW, et al. Among authors: pachepsky ya. Water Res. 2010 Feb;44(4):1193-201. doi: 10.1016/j.watres.2009.05.049. Epub 2009 Jul 2. Water Res. 2010. PMID: 19604533

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