Fate and Transport of E. coli in Cedar Creek Watershed, Texas

This paper describes the development and testing of a mathematical model as a tool to quantify pathogen loads in Sydney's drinking water catchments. It has been used to identify, quantify and prioritise sources of Cryptosporidium, Giardia and E. coli in the Wingecarribee catchment. The pathogen model promotes understanding of the relative significance of different sources of pathogen risks as well as their fate and transport as they move through the subcatchments. This pathogen model not only enables water utility managers to identify those catchment segments that may contribute the highest load of pathogens, but also where management options will be most effective.

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In-stream <i>Escherichia coli</i> modeling using high-temporal-resolution data with deep learning and process-based models

Hydrology and Earth System Sciences ◽

10.5194/hess-25-6185-2021 ◽

2021 ◽

Vol 25 (12) ◽

pp. 6185-6202

Author(s):

Ather Abbas ◽

Sangsoo Baek ◽

Norbert Silvera ◽

Bounsamay Soulileuth ◽

Yakov Pachepsky ◽

...

Keyword(s):

Escherichia Coli ◽

Land Use ◽

Deep Learning ◽

Subsurface Flow ◽

Fate And Transport ◽

Learning Model ◽

E Coli ◽

Deep Learning Model ◽

Surface And Subsurface Flow ◽

Process Based Models

Abstract. Contamination of surface waters with microbiological pollutants is a major concern to public health. Although long-term and high-frequency Escherichia coli (E. coli) monitoring can help prevent diseases from fecal pathogenic microorganisms, such monitoring is time-consuming and expensive. Process-driven models are an alternative means for estimating concentrations of fecal pathogens. However, process-based modeling still has limitations in improving the model accuracy because of the complexity of relationships among hydrological and environmental variables. With the rise of data availability and computation power, the use of data-driven models is increasing. In this study, we simulated fate and transport of E. coli in a 0.6 km2 tropical headwater catchment located in the Lao People's Democratic Republic (Lao PDR) using a deep-learning model and a process-based model. The deep learning model was built using the long short-term memory (LSTM) methodology, whereas the process-based model was constructed using the Hydrological Simulation Program–FORTRAN (HSPF). First, we calibrated both models for surface as well as for subsurface flow. Then, we simulated the E. coli transport with 6 min time steps with both the HSPF and LSTM models. The LSTM provided accurate results for surface and subsurface flow with 0.51 and 0.64 of the Nash–Sutcliffe efficiency (NSE) values, respectively. In contrast, the NSE values yielded by the HSPF were −0.7 and 0.59 for surface and subsurface flow. The simulated E. coli concentrations from LSTM provided the NSE of 0.35, whereas the HSPF gave an unacceptable performance with an NSE value of −3.01 due to the limitations of HSPF in capturing the dynamics of E. coli with land-use change. The simulated E. coli concentration showed the rise and drop patterns corresponding to annual changes in land use. This study showcases the application of deep-learning-based models as an efficient alternative to process-based models for E. coli fate and transport simulation at the catchment scale.

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Escherichia coli Survival in, and Release from, White-Tailed Deer Feces

Applied and Environmental Microbiology ◽

10.1128/aem.03295-14 ◽

2014 ◽

Vol 81 (3) ◽

pp. 1168-1176 ◽

Cited By ~ 17

Author(s):

Andrey K. Guber ◽

Jessica Fry ◽

Rebecca L. Ives ◽

Joan B. Rose

Keyword(s):

Escherichia Coli ◽

Fate And Transport ◽

Exponential Model ◽

Temperature Correction ◽

Content Type ◽

E Coli ◽

Naturally Occurring ◽

Different Temperatures ◽

Kinetics Of ◽

Source Materials

ABSTRACTWhite-tailed deer are an important reservoir for pathogens that can contribute a large portion of microbial pollution in fragmented agricultural and forest landscapes. The scarcity of experimental data on survival of microorganisms in and release from deer feces makes prediction of their fate and transport less reliable and development of efficient strategies for environment protection more difficult. The goal of this study was to estimate parameters for modelingEscherichia colisurvival in and release from deer (Odocoileus virginianus) feces. Our objectives were as follows: (i) to measure survival ofE. coliin deer pellets at different temperatures, (ii) to measure kinetics ofE. colirelease from deer pellets at different rainfall intensities, and (iii) to estimate parameters of models describing survival and release of microorganisms from deer feces. Laboratory experiments were conducted to studyE. colisurvival in deer pellets at three temperatures and to estimate parameters of Chick's exponential model with temperature correction based on the Arrhenius equation. Kinetics ofE. colirelease from deer pellets were measured at two rainfall intensities and used to derive the parameters of Bradford-Schijven model of bacterial release. The results showed that parameters of the survival and release models obtained forE. coliin this study substantially differed from those obtained by using other source materials, e.g., feces of domestic animals and manures. This emphasizes the necessity of comprehensive studies of survival of naturally occurring populations of microorganisms in and release from wildlife animal feces in order to achieve better predictions of microbial fate and transport in fragmented agricultural and forest landscapes.

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Role of free-ranging mammals in the deposition of Escherichia coli into a Texas floodplain

Wildlife Research ◽

10.1071/wr13082 ◽

2013 ◽

Vol 40 (7) ◽

pp. 570 ◽

Cited By ~ 2

Author(s):

Israel D. Parker ◽

Roel R. Lopez ◽

Reema Padia ◽

Meghan Gallagher ◽

Raghupathy Karthikeyan ◽

...

Keyword(s):

Escherichia Coli ◽

Water Quality ◽

Population Density ◽

Didelphis Virginiana ◽

Large Mammals ◽

Density Estimates ◽

Cedar Creek ◽

E Coli ◽

Free Ranging

Context The role of wildlife in faecal pollution of water bodies (deposition of Escherichia coli (E. coli)) is not well understood. Current water-quality and land-use planning research largely relies on unreliable wildlife data (e.g. poor sourcing of abundance estimates, population density estimates applied to multiple fundamentally different areas, suspect or insufficiently described data collection techniques) Aims Our goal for the present research was to investigate deposition of E. coli into a floodplain by free-ranging mammals. Objectives of the research were to determine the density of important free-ranging meso- and large mammals in the study area, determine faecal E. coli loads for each species, and evaluate spatial data on species-specific faecal deposition. Methods We conducted our research in south-eastern Texas, USA, on two cattle ranches bisected by Cedar Creek (44-km long). Cedar Creek has elevated E. coli concentrations. We conducted mark–recapture and mark–resight population density estimates (2008/09) for meso- and large mammals in the study areas. We collected faecal samples from all captured wildlife. We also conducted transects through the study area to determine faecal-deposition patterns. Key results We found that raccoons (Procyon lotor), wild pigs (Sus scrofa), Virginia opossums (Didelphis virginiana) and white-tailed deer (Odocoileus virginianus) all had substantial faecal E. coli loads and population densities, thus implying an important role in E. coli deposition into the study floodplain. All species were widely distributed through the floodplain. Conclusions Free-ranging mammals contribute E. coli to floodplains and potentially affect water quality. We determined that four species commonly found in floodplains throughout North America all contributed E. coli to the study floodplain, thus implying mammal E. coli contributions in many locations and this is potentially important for E. coli management. Implications Improved locally specific mammal population estimates and estimates of locally derived E. coli concentration will improve floodplain and water-quality models that often depend on data of various quality. Additionally, our analyses demonstrated the need for continued research into the role of wildlife in E. coli deposition.

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Impacts of land cover changes on runoff and sediment in the Cedar Creek Watershed, St. Joseph River, Indiana, United States

Journal of Mountain Science ◽

10.1007/s11629-008-0105-0 ◽

2008 ◽

Vol 5 (2) ◽

pp. 113-121 ◽

Cited By ~ 10

Author(s):

Xiaobo Jiang ◽

Chi-hua Huang ◽

Fushui Ruan

Keyword(s):

United States ◽

Land Cover ◽

Land Cover Changes ◽

Cedar Creek ◽

Creek Watershed

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E. coli fate and transport in the Happel sphere-in-cell model

Advances in Water Resources ◽

10.1016/j.advwatres.2006.05.027 ◽

2007 ◽

Vol 30 (6-7) ◽

pp. 1492-1504 ◽

Cited By ~ 12

Author(s):

K.E. Nelson ◽

A. Massoudieh ◽

T.R. Ginn

Keyword(s):

Cell Model ◽

Fate And Transport ◽

E Coli

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Effect of an Artificial RNA Marker on Gene Expression in Escherichia coli

Applied and Environmental Microbiology ◽

10.1128/aem.71.7.4156-4159.2005 ◽

2005 ◽

Vol 71 (7) ◽

pp. 4156-4159 ◽

Cited By ~ 3

Author(s):

Don L. Tucker ◽

Fathi Karouia ◽

Jim Wang ◽

Yi Luo ◽

Tong-Bin Li ◽

...

Keyword(s):

Gene Expression ◽

Escherichia Coli ◽

Single Gene ◽

Fate And Transport ◽

Transcriptional Analysis ◽

E Coli ◽

Expression In Escherichia Coli ◽

Minimal Media ◽

Transport Of Bacteria

ABSTRACT Transcriptional analysis was used to examine the effect of a genomically encoded artificial RNA on Escherichia coli in rich and minimal media. Only the expression of a single gene, deoC, was unequivocally affected under both conditions. E. coli marker strains of this type may be useful in monitoring the fate and transport of bacteria in various applications.

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