Effect of streambed bacteria release on E. coli concentrations: Monitoring and modeling with the modified SWAT

Kim, Jung-Woo; Pachepsky, Yakov; Shelton, Daniel R.; Coppock, Cary

doi:10.1016/j.ecolmodel.2010.03.005

Cited by 108 publications

(105 citation statements)

References 67 publications

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“…Most of the top sensitive parameters were related with channel or overland routing. This result is in agreement with previous calibration works, showing that CN2, ALPHA_BF, and SLSUBBSN were highly ranked in the sensitivity analysis [38][39][40]. Table 2 shows the ANN-associated parameters including learning rate, momentum constant, and number of neurons optimized by the pattern search method and SOM-related errors: quantization and topographic errors.…”

Section: Parameter Estimationsupporting

confidence: 89%

Comparative Studies of Different Imputation Methods for Recovering Streamflow Observation

Kim

Baek

Ligaray

et al. 2015

Water

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Faulty field sensors cause unreliability in the observed data that needed to calibrate and assess hydrology models. However, it is illogical to ignore abnormal or missing values if there are limited data available. This study addressed this problem by applying data imputation to replace incorrect values and recover missing streamflow information in the dataset of the Samho gauging station at Taehwa River (TR), Korea from 2004 to 2006. Soil and Water Assessment Tool (SWAT) and two machine learning techniques, Artificial Neural Network (ANN) and Self Organizing Map (SOM), were employed to estimate streamflow using reasonable flow datasets of Samho station from 2004 to 2009. The machine learning models were generally better at capturing high flows, while SWAT was better at simulating low flows.

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Section: Parameter Estimationsupporting

confidence: 89%

Comparative Studies of Different Imputation Methods for Recovering Streamflow Observation

Kim

Baek

Ligaray

et al. 2015

Water

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“…The model sensitivity tests indicate that the releasing (or desorption) and decay processes of E. coli from the top sediment layer (<2mm) of the land surface in rural catchments plays an important role in [77,78] and MIKE for an integrated FIO modelling system [52], predictions made using the model developed in the current study have a similar or even higher level of accuracy. The basic value of the calculated level of E. coli production, which is primarily formed by FIO inputs released from the rural catchments, is properly calculated in the current model.…”

Section: Key Processes Methods and Model Performancementioning

confidence: 79%

Integrated River and Coastal Flow, Sediment and Escherichia coli Modelling for Bathing Water Quality

Huang

Falconer

Lin

2015

Water

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Due to the increasing economic and cultural value of bathing waters and the shellfish industry in the UK and worldwide, water quality in estuarine and coastal waters has attracted considerable public attention in recent years. To obtain accurate predictions of the concentration distributions of faecal indicator organisms (FIOs) in coastal waters for better management of bathing water compliance, it is necessary to build an integrated modelling system to predict the complete diffuse and point source inputs from river and catchment basins. In the present paper, details are given of the development of such an integrated modelling system for simulating the transport and decay processes of FIOs, from catchment areas upstream from the coastal region, in which a distributed catchment module, a 1D river network module and a 2D estuarine and coastal module are linked dynamically by boundary inputs and outputs. Extensive measured data from the catchments, river networks and estuaries have been collated to determine the model parameters. Verification results of the distribution of water levels, flows and velocities, and suspended sediment and Escherichia coli concentrations, at controlled monitoring sites are presented, which show that the integrated model predictions generally agree well with the measurements, although locally appreciable errors can occur. The model results also highlight the importance of including the flux of FIOs via sediments being an important factor in terms of assessing the quality of bathing waters. The main factors influencing the relatively high concentration values in the bathing region are analysed, based on the model predictions and measured data, with four categories of FIO concentration levels being reviewed. OPEN ACCESSWater 2015, 7 4753

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“…Because it is very convenient to access the source code of SWAT, great efforts to develop this model have been made by a number of researchers (e.g. Eckhardt and Ulbrich 2003, Kim et al 2010, Kemanian et al 2011. We also added code into the source file (grow.f) of SWAT2005 to output information on primary growth stress of every hydrological response unit (HRU) from February to November on a daily basis.…”

Section: The Swat Modelmentioning

confidence: 99%

Distinct effects of temperature change on discharge and non-point pollution in subtropical southern China by SWAT simulation

Heng

Shaolin

2013

Hydrological Sciences Journal

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Climate change impacts on the availability of water resources. Projection of hydrological response to temperature change is valuable for water management. Such response may be complex and uncertain at the watershed scale and differences may exist between low and high latitudes. A simulation experiment was achieved by using SWAT modelling in the upstream watershed of Dongjiang River, South China. After calibration, the model was found appropriate for hydrological simulation in the study area and was run from 1995 to 2004 under a series of temperature change scenarios to reveal the response of streamflow and loads of sediment and nutrients. For a temperature increase of 3• C, streamflow, sediment and total phosphorus decreased by 5.2, 7.7 and 2.2%, respectively. Linear temperature change seemed to have a linear hydrological response. Nutrient deficiency was still the primary vegetation stress compared with water availability and temperature stress under rising temperatures. Comparison with previous research showed that two southern subtropical watersheds (one upstream and one downstream) gave different hydrological responses. Sediment and inorganic nitrogen loads decreased in the upstream watershed, but increased in the downstream one, when temperature increased. Under the warming scenarios, streamflow and sediment loads decreased throughout the year, especially during the wet season, which is different from results at high latitudes. Nutrient export decreased in April-June, but increased in the remaining months. Simulation results should be applied with caution in water resources management, as simulated climate change had variable hydrological influence in different regions and seasons.Key words temperature change; southern subtropics; streamflow; sediment; nutrient loading; SWAT Effets divers des modifications de température sur le débit et la pollution diffuse dans les régions subtropicales de Chine méridionale par simulation SWAT Résumé Effets du changement climatique sur la disponibilité des ressources en eau. Anticiper les effets hydrologiques des changements de température est utile pour la gestion de l'eau. Une telle réponse peut être complexe et incertaine à l'échelle des bassins versants et il peut exister des différences entre les basses et les hautes latitudes. Une expérience de simulation a été réalisée par une modélisation SWAT de l'amont du bassin versant de la rivière Dongjiang, en Chine méridionale. Après calage, le modèle a été jugé approprié pour la simulation hydrologique dans la zone d'étude, et a on l'a fait tourner de 1995 à 2004 pour une série de scénarios de changement de température afin de déterminer la réponse de l'écoulement et des charges de sédiments et de nutriments. Lorsque la température a été augmentée de 3• C, les débits, les sédiments et le phosphore total ont respectivement diminué de 5,2, 7,7 et 2,2 %. Un changement de température linéaire semble avoir une réponse hydrologique linéaire. La carence en éléments nutritifs s'est révélée être le principal stress pour la ...

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Effect of streambed bacteria release on E. coli concentrations: Monitoring and modeling with the modified SWAT

Cited by 108 publications

References 67 publications

Comparative Studies of Different Imputation Methods for Recovering Streamflow Observation

Comparative Studies of Different Imputation Methods for Recovering Streamflow Observation

Integrated River and Coastal Flow, Sediment and Escherichia coli Modelling for Bathing Water Quality

Distinct effects of temperature change on discharge and non-point pollution in subtropical southern China by SWAT simulation

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