Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment

Kim, Minjeong; Boithias, Laurie; Cho, Kyung Hwa; Silvera, Norbert; Thammahacksa, Chanthamousone; Latsachack, Keooudone; Rochelle-Newall, Emma; Sengtaheuanghoung, Oloth; Pierret, Alain; Pachepsky, Yakov; Ribolzi, Olivier

doi:10.1016/j.watres.2017.04.038

Cited by 48 publications

(34 citation statements)

References 60 publications

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“…Therefore, evaluation of the microbial quality of irrigation water in the food safety arena must also account for microorganism and plant properties. López‐Gálvez et al (2018) analyzed chloride dioxine treatments to remove human noroviruses and astroviruses from secondary effluent of a wastewater treatment plant in Murcia, Spain. Although the applied treatment did not substantially decrease the concentrations of viruses, no viruses were detected in lettuce grown in a greenhouse under irrigation with the treated water.…”

Section: Monitoring Designmentioning

confidence: 99%

“…Water columns in all types of water sources are in direct contact with bottom sediment and periphyton that contains large populations of fecal indicator organisms. These organisms can be released during high-flow events and storm-related mixing due to sediment resuspension Kim et al, 2017). The base-flow conditions in creeks also appear to be conducive for fecal indicator bacteria release to the water column (Grant et al, 2011), and the release rates can be sufficient to keep E. coli concentrations in exceedance of recreation water standards (Park et al, 2017).…”

Section: Role Of Bottom Sediments and Other Border Ecosystemsmentioning

confidence: 99%

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Microbial Water Quality: Monitoring and Modeling

et al. 2018

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Microbial water quality lies in the nexus of human, animal, and environmental health. Multidisciplinary efforts are under way to understand how microbial water quality can be monitored, predicted, and managed. This special collection of papers in the Journal of Environmental Quality was inspired by the idea of creating a special section containing the panoramic view of advances and challenges in the arena of microbial water quality research. It addresses various facets of health‐related microorganism release, transport, and survival in the environment. The papers analyze the spatiotemporal variability of microbial water quality, selection of predictors of the spatiotemporal variations, the role of bottom sediments and biofilms, correlations between concentrations of indicator and pathogenic organisms and the role for risk assessment techniques, use of molecular markers, subsurface microbial transport as related to microbial water quality, antibiotic resistance, real‐time monitoring and nowcasting, watershed scale modeling, and monitoring design. Both authors and editors represent international experience in the field. The findings underscore the challenges of observing and understanding microbial water quality; they also suggest promising research directions for improving the knowledge base needed to protect and improve our water sources. Core Ideas Environmental factors are known to control microbial water quality in natural systems. This collection of papers presents a panoramic view of microbial water quality research. With this special section, the editors hope to stimulate interdisciplinary efforts in the field.

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Section: Monitoring Designmentioning

confidence: 99%

Section: Role Of Bottom Sediments and Other Border Ecosystemsmentioning

confidence: 99%

Microbial Water Quality: Monitoring and Modeling

et al. 2018

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“…It predicts hydrologic and water quality variables according to various land management practices and watershed information. We used SWAT executable version 633 with a modified bacteria module, which included the processes of resuspension and deposition from streambed sediment and hyporheic exchange (Kim et al, 2017). …”

Section: Methodsmentioning

confidence: 99%

“…We evenly distributed this amount across the watershed, except for annual crops, because this is open land, which is not favored by humans or animals. We assumed that the daily feces production was 15.75 kg d −1 during the dry season (November–April) and 18.95 kg d −1 during the wet season (May–August), as the virtual mix of human and animal feces (Causse et al, 2015; Kim et al, 2017). …”

Section: Methodsmentioning

confidence: 99%

“…We compared the present study with the results reported in Kim et al (2017), in which a single land use map was used, but a composite land use map was applied in the present study. To compare the two studies, we used the same warm‐up and calibration periods: a 3‐yr warm‐up period from 2008 to 2010 and a 3‐yr calibration period from 2011 to 2013.…”

Section: Methodsmentioning

confidence: 99%

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Modeling the Impact of Land Use Change on Basin‐scale Transfer of Fecal Indicator Bacteria: SWAT Model Performance

et al. 2018

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Land use change from annual crops to commercial tree plantations can modify flow and transport processes at the watershed scale, including the fate and transport of fecal indicator bacteria (FIB), such as Escherichia coli. The Soil and Water Assessment Tool (SWAT) is a useful means for integrating watershed characteristics and simulating water and contaminants. The objective of this study was to provide a comprehensive assessment of the impact of land use change on microbial transfer from soils to streams using the SWAT model. This study was conducted for the Houay Pano watershed located in northern Lao People's Democratic Republic. Under the observed weather conditions, the SWAT model predicted a decrease from 2011 to 2012 and an increase from 2012 to 2013 in surface runoff, suspended solids, and E. coli transferred from the soil surface to streams. The amount of precipitation was important in simulating surface runoff, and it subsequently affected the fate and transport of suspended solids and bacteria. In simulations of identical weather conditions and different land uses, E. coli fate and transport was more sensitive to the initial number of E. coli than to its drivers (i.e., surface runoff and suspended solids), and leaf area index was a significant factor influencing the determination of the initial number of E. coli on the soil surface. On the basis of these findings, this study identifies several limitations of the SWAT fertilizer and bacteria modules and suggests measures to improve our understanding of the impacts of land use change on FIB in tropical watersheds. Core Ideas Watershed‐scale processes influence land use change impact on FIB transport. The amount of precipitation significantly influences bacteria transport. FIB transport is sensitive to FIB number on soil surface, itself determined by LAI. We report several limitations of the SWAT model when describing FIB transfer. We suggest model improvements to understand the impact of land use change on FIB.

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The Multiscale TROPIcal CatchmentS critical zone observatory M‐TROPICS dataset II: Land use, hydrology and sediment production monitoring in Houay Pano, northern Lao PDR

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et al. 2021

Hydrological Processes

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Mountain regions of the humid tropics are characterized by steep slopes and heavy rains. These regions are thus prone to both high surface runoff and soil erosion. In Southeast Asia, uplands are also subject to rapid land-use change, predominantly as a result of increased population pressure and market forces. Since 1998, the Houay Pano site, located in northern Lao PDR (19.85 N 102.17 E) within the Mekong basin, aims at assessing the long-term impact of the conversion of traditional slash-and-burn cultivation systems to commercial perennial monocultures such as teak tree plantations, on the catchment hydrological response and sediment yield. The instrumented site monitors hydro-meteorological and soil loss parameters at both microplot (1 m 2 ) and small catchment (0.6 km 2 ) scales. The monitored catchment is part of the network of critical zone observatories named Multiscale TROPIcal CatchmentS (M-TRO-PICS). The data shared by M-TROPICS in Houay Pano are (1) rainfall, (2) air

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Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment

Cited by 48 publications

References 60 publications

Microbial Water Quality: Monitoring and Modeling

Microbial Water Quality: Monitoring and Modeling

Modeling the Impact of Land Use Change on Basin‐scale Transfer of Fecal Indicator Bacteria: SWAT Model Performance

The Multiscale TROPIcal CatchmentS critical zone observatory M‐TROPICS dataset II: Land use, hydrology and sediment production monitoring in Houay Pano, northern Lao PDR

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