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Yakov Pachepsky

Showing results (21-30 of 30) with videos related to

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Journal of Environmental Quality|November 10, 2023
Multiscale spatiotemporal variability of fecal indicator bacteria and associated particle size distributions in the sandy bottom sediments of a Pennsylvania creekYakov Pachepsky, M D Harriger, Christina Panko Graff, et al.
Journal of Environmental Quality|October 2, 2018
Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in KoreaYongeun Park, Minjeong Kim, Yakov Pachepsky, et al.
Journal of Environmental Management|January 31, 2020
Assessment of a green roof practice using the coupled SWMM and HYDRUS modelsSangSoo Baek, Mayzonee Ligaray, Yakov Pachepsky, et al.
Water Research X|December 15, 2023
Long short-term memory models of water quality in inland water environmentsJongCheol Pyo, Yakov Pachepsky, Soobin Kim, et al.
Journal of Environmental Quality|March 31, 2025
Spatiotemporal trends of Escherichia coli levels and their influences vary among ponds in the coastal plain of GeorgiaJ Andrew Widmer, Matthew Stocker, Jaclyn E Smith, et al.
Journal of Food Protection|April 2, 2023
Temporal Stability of Salmonella enterica and Listeria monocytogenes in Surface Waters Used for Irrigation in the Mid-Atlantic United StatesSeongyun Kim, Yakov Pachepsky, Shirley A Micallef, et al.
Journal of Water and Health|June 10, 2016
Rainfall-induced release of microbes from manure: model development, parameter estimation, and uncertainty evaluation on small plotsKeewook Kim, Gene Whelan, Marirosa Molina, et al.
The Science of the Total Environment|November 12, 2024
Corrigendum to "Comparative efficiency of the SWAT model and a deep learning model in estimating nitrate loads at the Tuckahoe creek watershed, Maryland" [Sci. Total Environ. 954 (2024) 176256]Jiye Lee, Dongho Kim, Seokmin Hong, et al.
The Science of the Total Environment|September 19, 2024
Comparative efficiency of the SWAT model and a deep learning model in estimating nitrate loads at the Tuckahoe creek watershed, MarylandJiye Lee, Dongho Kim, Seokmin Hong, et al.
Toxins|November 26, 2024
Persistence of Microcystin in Three Agricultural Ponds in Georgia, USAJaclyn E Smith, James A Widmer, Jennifer L Wolny, et al.
Pageof 3

Showing results (21-30 of 30) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 30 results.
Journal of Environmental Quality|November 10, 2023
Multiscale spatiotemporal variability of fecal indicator bacteria and associated particle size distributions in the sandy bottom sediments of a Pennsylvania creekYakov Pachepsky, M D Harriger, Christina Panko Graff, et al.
Journal of Environmental Quality|October 2, 2018
Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in KoreaYongeun Park, Minjeong Kim, Yakov Pachepsky, et al.
Journal of Environmental Management|January 31, 2020
Assessment of a green roof practice using the coupled SWMM and HYDRUS modelsSangSoo Baek, Mayzonee Ligaray, Yakov Pachepsky, et al.
Water Research X|December 15, 2023
Long short-term memory models of water quality in inland water environmentsJongCheol Pyo, Yakov Pachepsky, Soobin Kim, et al.
Journal of Environmental Quality|March 31, 2025
Spatiotemporal trends of Escherichia coli levels and their influences vary among ponds in the coastal plain of GeorgiaJ Andrew Widmer, Matthew Stocker, Jaclyn E Smith, et al.
Journal of Food Protection|April 2, 2023
Temporal Stability of Salmonella enterica and Listeria monocytogenes in Surface Waters Used for Irrigation in the Mid-Atlantic United StatesSeongyun Kim, Yakov Pachepsky, Shirley A Micallef, et al.
Journal of Water and Health|June 10, 2016
Rainfall-induced release of microbes from manure: model development, parameter estimation, and uncertainty evaluation on small plotsKeewook Kim, Gene Whelan, Marirosa Molina, et al.
The Science of the Total Environment|November 12, 2024
Corrigendum to "Comparative efficiency of the SWAT model and a deep learning model in estimating nitrate loads at the Tuckahoe creek watershed, Maryland" [Sci. Total Environ. 954 (2024) 176256]Jiye Lee, Dongho Kim, Seokmin Hong, et al.
The Science of the Total Environment|September 19, 2024
Comparative efficiency of the SWAT model and a deep learning model in estimating nitrate loads at the Tuckahoe creek watershed, MarylandJiye Lee, Dongho Kim, Seokmin Hong, et al.
Toxins|November 26, 2024
Persistence of Microcystin in Three Agricultural Ponds in Georgia, USAJaclyn E Smith, James A Widmer, Jennifer L Wolny, et al.
Pageof 3