Impacts of Climate Alteration on the Hydrology of the Yarra River Catchment, Australia Using GCMs and SWAT Model

Das, S. K; Ahsan, Amimul; Khan, Md. Habibur Rahman Bejoy; Tariq, Muhammad Atiq Ur Rehman; Muttil, Nitin; Ng, A. W. M

doi:10.3390/w14030445

Cited by 7 publications

(2 citation statements)

References 37 publications

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“…Details of the parametric selection can be found in Das et al (2022). Table 2 shows that calibration of MYS performs very well for baseflow and streamflow (annual, monthly, and daily: R 2 > 0.75, RSR < 0.50, NSE > 0.75 and PBIAS 10%) as per the suggestion of Arnold et al (2012) and Moriasi et al (2007).…”

Section: Streamflowmentioning

confidence: 62%

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Modeling the impacts of best management practices (BMPs) on pollution reduction in the Yarra River catchment, Australia

et al. 2023

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Pollution of a watershed by different land uses and agricultural practices is becoming a major challenging factor that results in deterioration of water quality affecting human health and ecosystems. Sustainable use of available water resources warrants reduction of Non-Point Source (NPS) pollutants from receiving water bodies through best management practices (BMPs). A hydrologic model such as the Soil and Water Assessment Tool (SWAT) can be used for analyzing the impacts of various BMPs and implementing of different management plans for water quality improvement, which will help decision makers to determine the best combination of BMPs to maximize benefits. The objective of this study is to assess the potential reductions of sediments and nutrient loads by utilizing different BMPs on the Yarra River watershed using the SWAT model. The watershed is subdivided into 51 sub-watersheds where seven different BMPs were implemented. A SWAT model was developed and calibrated against a baseline period of 1998–2008. For calibration and validation of the model simulations for both the monthly and annual nutrients and sediments were assessed by using the Nash–Sutcliffe efficiency (NSE) statistical index. The values of the NSE were found more than 0.50 which indicates satisfactory model predictions. By utilizing different BMPs, the highest pollution reduction with minimal costs can be done by 32% targeted mixed-crop area. Furthermore, the combined effect of five BMPs imparts most sediments and nutrient reductions in the watershed. Overall, the selection of a BMP or combinations of BMPs should be set based on the goals set in a BMP application project.

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Section: Streamflowmentioning

confidence: 62%

“…There are 26 streamflow parameters in the SWAT model. Details can be found in Das et al (2022). Based on the sensitivity outcomes, the auto-calibration for the most sensitive streamflow factors is performed by the ParaSol (SCE-UA) (Van Griensven et al 2006).…”

Section: Swat Model: Structure Sensitivity Analysis Calibration and V...mentioning

confidence: 99%

Modeling the impacts of best management practices (BMPs) on pollution reduction in the Yarra River catchment, Australia

et al. 2023

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Calibration, validation and uncertainty analysis of a SWAT water quality model

Das,

Ahsan,

Khan

et al. 2024

Appl Water Sci

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Sediment and nutrient pollution in water bodies is threatening human health and the ecosystem, due to rapid land use changes and improper agricultural practices. The impact of the nonpoint source pollution needs to be evaluated for the sustainable use of water resources. An ideal tool like the soil and water assessment tool (SWAT) can assess the impact of pollutant loads on the drainage area, which could be beneficial for developing a water quality management model. This study aims to evaluate the SWAT model’s multi-objective and multivariable calibration, validation, and uncertainty analysis at three different sites of the Yarra River drainage area in Victoria, Australia. The drainage area is split into 51 subdrainage areas in the SWAT model. The model is calibrated and validated for streamflow from 1990 to 2008 and sediment and nutrients from 1998 to 2008. The results show that most of the monthly and annual calibration and validation for streamflow, nutrients, and sediment at the three selected sites are found with Nash–Sutcliffe efficiency values greater than 0.50. Furthermore, the uncertainty analysis of the model shows satisfactory results where the p-factor value is reliable by considering 95% prediction uncertainty and the d-factor value is close to zero. The model's results indicate that the model performs well in the river's watershed, which helps construct a water quality management model. Finally, the model application in the cost-effective management of water quality might reduce pollution in water bodies due to land use and agricultural activities, which would be beneficial to water management managers.

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Geospatial patterns in runoff projections using random forest based forecasting of time-series data for the mid-Atlantic region of the United States

Gaertner

2024

Science of The Total Environment

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Impacts of Climate Alteration on the Hydrology of the Yarra River Catchment, Australia Using GCMs and SWAT Model

Cited by 7 publications

References 37 publications

Modeling the impacts of best management practices (BMPs) on pollution reduction in the Yarra River catchment, Australia

Modeling the impacts of best management practices (BMPs) on pollution reduction in the Yarra River catchment, Australia

Calibration, validation and uncertainty analysis of a SWAT water quality model

Geospatial patterns in runoff projections using random forest based forecasting of time-series data for the mid-Atlantic region of the United States

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