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Items: 1 to 20 of 36

1.

Evaluating the influence of climate change on the fate and transport of fecal coliform bacteria using the modified SWAT model.

Jeon DJ, Ligaray M, Kim M, Kim G, Lee G, Pachepsky YA, Cha DH, Cho KH.

Sci Total Environ. 2019 Mar 25;658:753-762. doi: 10.1016/j.scitotenv.2018.12.213. Epub 2018 Dec 14.

PMID:
30583170
2.

Escherichia coli Export from Manured Fields Depends on the Time between the Start of Rainfall and Runoff Initiation.

Stocker MD, Pachepsky YA, Hill RL, Martinez G.

J Environ Qual. 2018 Sep;47(5):1293-1297. doi: 10.2134/jeq2018.02.0081.

PMID:
30272789
3.

Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in Korea.

Park Y, Kim M, Pachepsky Y, Choi SH, Cho JG, Jeon J, Cho KH.

J Environ Qual. 2018 Sep;47(5):1094-1102. doi: 10.2134/jeq2017.11.0425.

PMID:
30272778
4.

Spatial Patterns of Escherichia coli Concentrations in Sediment before and after High-Flow Events in a First-Order Creek.

Stocker MD, Penrose M, Pachepsky YA.

J Environ Qual. 2018 Sep;47(5):958-966. doi: 10.2134/jeq2017.11.0451.

PMID:
30272771
5.

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.

Environ Model Softw. 2018 Jan;99:126-146. doi: 10.1016/j.envsoft.2017.08.002.

6.

MATLAB algorithm to implement soil water data assimilation with the Ensemble Kalman Filter using HYDRUS.

Valdes-Abellan J, Pachepsky Y, Martinez G.

MethodsX. 2018 Mar 7;5:184-203. doi: 10.1016/j.mex.2018.02.008. eCollection 2018.

7.

Temporal Stability of Escherichia coli Concentrations in Waters of Two Irrigation Ponds in Maryland.

Pachepsky Y, Kierzewski R, Stocker M, Sellner K, Mulbry W, Lee H, Kim M.

Appl Environ Microbiol. 2018 Jan 17;84(3). pii: e01876-17. doi: 10.1128/AEM.01876-17. Print 2018 Feb 1.

8.

Development and evaluation of the bacterial fate and transport module for the Agricultural Policy/Environmental eXtender (APEX) model.

Hong EM, Park Y, Muirhead R, Jeong J, Pachepsky YA.

Sci Total Environ. 2018 Feb 15;615:47-58. doi: 10.1016/j.scitotenv.2017.09.231. Epub 2017 Oct 17.

PMID:
28963896
9.

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.

Water Res. 2017 Aug 1;119:102-113. doi: 10.1016/j.watres.2017.04.038. Epub 2017 Apr 15.

PMID:
28436821
10.

Release from Streambed to Water Column during Baseflow Periods: A Modeling Study.

Park Y, Pachepsky Y, Hong EM, Shelton D, Coppock C.

J Environ Qual. 2017 Jan;46(1):219-226. doi: 10.2134/jeq2016.03.0114.

PMID:
28177403
11.

Enrichment of stream water with fecal indicator organisms during baseflow periods.

Pachepsky Y, Stocker M, SaldaƱa MO, Shelton D.

Environ Monit Assess. 2017 Jan;189(2):51. doi: 10.1007/s10661-016-5763-8. Epub 2017 Jan 6.

PMID:
28063117
12.

Modeling the interannual variability of microbial quality metrics of irrigation water in a Pennsylvania stream.

Hong EM, Shelton D, Pachepsky YA, Nam WH, Coppock C, Muirhead R.

J Environ Manage. 2017 Feb 1;187:253-264. doi: 10.1016/j.jenvman.2016.11.054. Epub 2016 Nov 29.

PMID:
27912136
13.

Rainfall-induced release of microbes from manure: model development, parameter estimation, and uncertainty evaluation on small plots.

Kim K, Whelan G, Molina M, Purucker ST, Pachepsky Y, Guber A, Cyterski MJ, Franklin DH, Blaustein RA.

J Water Health. 2016 Jun;14(3):443-59. doi: 10.2166/wh.2016.239.

PMID:
27280610
14.

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.

Water Res. 2016 Sep 1;100:38-56. doi: 10.1016/j.watres.2016.04.064. Epub 2016 Apr 29. Review.

15.

Survival of Manure-borne and Fecal Coliforms in Soil: Temperature Dependence as Affected by Site-Specific Factors.

Park Y, Pachepsky Y, Shelton D, Jeong J, Whelan G.

J Environ Qual. 2016 May;45(3):949-57. doi: 10.2134/jeq2015.08.0427.

PMID:
27136162
16.

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.

Environ Monit Assess. 2016 Jan;188(1):56. doi: 10.1007/s10661-015-5067-4. Epub 2015 Dec 24.

PMID:
26703979
17.

Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments.

Oliver DM, Porter KD, Pachepsky YA, Muirhead RW, Reaney SM, Coffey R, Kay D, Milledge DG, Hong E, Anthony SG, Page T, Bloodworth JW, Mellander PE, Carbonneau PE, McGrane SJ, Quilliam RS.

Sci Total Environ. 2016 Feb 15;544:39-47. doi: 10.1016/j.scitotenv.2015.11.086. Epub 2015 Dec 3.

18.

Release and Removal of Microorganisms from Land-Deposited Animal Waste and Animal Manures: A Review of Data and Models.

Blaustein RA, Pachepsky YA, Shelton DR, Hill RL.

J Environ Qual. 2015 Sep;44(5):1338-54. doi: 10.2134/jeq2015.02.0077.

PMID:
26436252
19.

Rainfall intensity effects on removal of fecal indicator bacteria from solid dairy manure applied over grass-covered soil.

Blaustein RA, Hill RL, Micallef SA, Shelton DR, Pachepsky YA.

Sci Total Environ. 2016 Jan 1;539:583-591. doi: 10.1016/j.scitotenv.2015.07.108. Epub 2015 Sep 18.

PMID:
26386449
20.

Solid Manure As a Source of Fecal Indicator Microorganisms: Release under Simulated Rainfall.

Blaustein RA, Pachepsky YA, Hill RL, Shelton DR.

Environ Sci Technol. 2015 Jul 7;49(13):7860-9. doi: 10.1021/acs.est.5b01095. Epub 2015 Jun 8.

PMID:
26011817

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