A modified hydrological model for assessing effect of pH on fate and transport of Escherichia coli in the Athabasca River basin

Meshesha, Tesfa Worku; Wang, Junye

doi:10.1016/j.jhydrol.2019.124513

Cited by 22 publications

(7 citation statements)

References 61 publications

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“…Mckeown et al 31 and Melaku et al 32 incorporated an algorithm to consider the effect of slope and aspect on incoming solar radiation into the SWAT model in the forested watershed in the Boreal plain. Meshesha et al 33 modified the evapotranspiration in the SWAT model to account for two-way groundwater-surface water movement in estimating the groundwater table in Lethbridge and Barons area. Meshesha et al 34 extended the hydrological model for cold climate regions in order to quantify bacterial fluxes and its effect on surface water quality, and Kim et al 35 evaluated water quality consequently effect on aquatic environment.…”

Section: Introductionmentioning

confidence: 99%

Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model

Meshesha

Wang

Melaku

et al. 2021

Sci Rep

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Groundwater is a vital resource for human welfare. However, due to various factors, groundwater pollution is one of the main environmental concerns. Yet, it is challenging to simulate groundwater quality dynamics due to the insufficient representation of nutrient percolation processes in the soil and Water Assessment Tool model. The objectives of this study were extending the SWAT module to predict groundwater quality. The results proved a linear relationship between observed and calculated groundwater quality with coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), percent bias (PBIAS) values in the satisfied ranges. While the values of R2, NSE and PBIAS were 0.69, 0.65, and 2.68 during nitrate calibration, they were 0.85, 0.85 and 5.44, respectively during nitrate validation. Whereas the values of R2, NSE and PBIAS were 0.59, 0.37, and − 2.21 during total dissolved solid (TDS) calibration and they were 0.81, 0.80, 7.5 during the validation. The results showed that the nitrate and TDS concentrations in groundwater might change with varying surface water quality. This indicated the requirement for designing adaptive management scenarios. Hence, the extended SWAT model could be a powerful tool for future regional to global scale modelling of nutrient loads and effective surface and groundwater management.

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Section: Introductionmentioning

confidence: 99%

Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model

Meshesha

Wang

Melaku

et al. 2021

Sci Rep

Self Cite

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“…It was concluded that stakeholders found the model beneficial and provided a set of recommendations to improve the model. Meshesha et al (2020) investigated the spatiotemporal pattern of water quality and its impacts on the aquatic ecosystem of the Athabasca River Basin, Alberta, Canada. They developed a watershed scale module of the DO, dissolved organic carbon (DOC), and fecal coliforms (FC) in the Soil and Water Assessment Tool (SWAT) model.…”

Section: Literature Reviewmentioning

confidence: 99%

Climate change impacts on the flow regime and water quality indicators using an artificial neural network (ANN): a case study in Saskatchewan, Canada

Hassanjabbar

Nezaratian

Peng

2022

Journal of Water and Climate Change

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In this study, the artificial neural network (ANN) method was applied to investigate the impacts of climate change on the water quantity and quality of the Qu'Appelle River in Saskatchewan, Canada. First, the second-generation Canadian earth system model (CanESM2) was adopted to predict future climate conditions. The Statistical DownScaling Model (SDSM) was then applied to downscale the generated data. To analyze the water quality of the river, concentrations of dissolved oxygen (DO) and total dissolved solids (TDSs) from the river were collected. Using the collected climate and hydrometric data, the ANNs were trained to simulate (i) the ratio of snowfall-to-total precipitation based on the temperature, (ii) the river flow rate based on the temperature and precipitation; and (iii) DO and TDS concentrations based on the river flow and temperature. Finally, the generated climate change data were used as inputs to the ANN model to investigate the climate change impacts on the river flow as well as DO and TDS concentrations within the selected region. Hydrologic alteration of the river was evaluated via the Range of Variability Approach (RVA) under historical and climate change scenarios. The results under climate change scenarios were compared with those under historical scenarios and indicated that climate change would lead to a heterogeneous change in precipitation and temperature patterns. These changes would have serious degrading impacts on the river discharge as well as DO and TDS concentration levels, causing deterioration in the sustainability of the river system and ecological health of the region.

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“…Soil pH was a fundamental factor determining microbial biomass and community, and neutral or slightly alkaline condition was more suitable for exogenous microbial survival (Meshesha et al, 2020), although some pathogens could survive in acidic conditions (Alegbeleye & Sant'Ana, 2020). For instance, the pathogen Escherichia coli usually dies or stops flourishing at acidic conditions but can survive for weeks at slightly acid or neutral conditions (Alegbeleye & Sant'Ana, 2020).…”

Section: The Linkages Among Soil Abiotic Properties Microbial Activit...mentioning

confidence: 99%

Co‐occurrences of soil nitrogen cycling and human‐disease genes following spent mushroom substrate and nitrification inhibitor applications: A strategy for decreasing health risk

Zhang

Wang

et al. 2022

Land Degrad Dev

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Spent mushroom substrates can be utilized as organic fertilizer in agricultural production but may pose a health risk. Nitrification inhibitors dicyandiamide and 3,4-dimethylpyrazole phosphate have been used to enhance fertilizer nitrogen utilization efficiency. However, the changes of soil abiotic properties, microbial activities, nitrogen cycling and human-disease genes, and their comprehensive relationships after the spent mushroom substrate and nitrification inhibitor applications were still unknown. In this study, the spent mushroom substrate and nitrification inhibitor were applied into the agricultural soils at the rates of 2.5% (w/w) and 1.0% of nitrogen content in the spent mushroom substrate, respectively, and then lettuce was planted. Compared with the control, spent mushroom substrate application significantly increased the lettuce biomass, soil enzyme activities and chitinase, protease, nitric-oxide reductase, nitrogenase, and urease gene abundances. However, the antibiotic resistance and human-disease gene abundances were also significantly enhanced following the spent mushroom substrate application.Relative to spent mushroom substrate alone, the dicyandiamide application significantly decreased the soil pH and human-disease gene abundances, although extra dicyandiamide and 3,4-dimethylpyrazole phosphate enhanced 61.4% and 45.0% of dry biomass of aboveground lettuce. The human-disease gene abundances were positively correlated with soil pH but were negatively correlated with the Acidobacteria and Streptomyces ratios in soils. Spent mushroom substrate application could generate double-edged sword effects, and the health risk should be considered in the spent mushroom substrate applications. Extra dicyandiamide application could further promote crop growth while decrease the human-disease risk from the spent mushroom substrate.

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A modified hydrological model for assessing effect of pH on fate and transport of Escherichia coli in the Athabasca River basin

Cited by 22 publications

References 61 publications

Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model

Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model

Climate change impacts on the flow regime and water quality indicators using an artificial neural network (ANN): a case study in Saskatchewan, Canada

Co‐occurrences of soil nitrogen cycling and human‐disease genes following spent mushroom substrate and nitrification inhibitor applications: A strategy for decreasing health risk

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