Calibration, validation and uncertainty analysis of a SWAT water quality model Article Swipe
Sushil K. Das
,
Amimul Ahsan
,
Md. Habibur Rahman Bejoy Khan
,
Abdullah Gokhan Yilmaz
,
Shakil Ahmed
,
Monzur Alam Imteaz
,
Muhammad Atiq Ur Rehman Tariq
,
Md. Shafiquzzaman
,
A. W. M Ng
,
Nadhir Al‐Ansari
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s13201-024-02138-x
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s13201-024-02138-x
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.
Related Topics
Concepts
Calibration
Water quality
Environmental science
Quality (philosophy)
Hydrogeology
Model validation
SWAT model
Water resource management
Reliability engineering
Computer science
Engineering
Civil engineering
Statistics
Mathematics
Geotechnical engineering
Data science
Philosophy
Biology
Ecology
Epistemology
Land use
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s13201-024-02138-x
- https://link.springer.com/content/pdf/10.1007/s13201-024-02138-x.pdf
- OA Status
- diamond
- Cited By
- 10
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393317819
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393317819Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s13201-024-02138-xDigital Object Identifier
- Title
-
Calibration, validation and uncertainty analysis of a SWAT water quality modelWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-29Full publication date if available
- Authors
-
Sushil K. Das, Amimul Ahsan, Md. Habibur Rahman Bejoy Khan, Abdullah Gokhan Yilmaz, Shakil Ahmed, Monzur Alam Imteaz, Muhammad Atiq Ur Rehman Tariq, Md. Shafiquzzaman, A. W. M Ng, Nadhir Al‐AnsariList of authors in order
- Landing page
-
https://doi.org/10.1007/s13201-024-02138-xPublisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s13201-024-02138-x.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007/s13201-024-02138-x.pdfDirect OA link when available
- Concepts
-
Calibration, Water quality, Environmental science, Quality (philosophy), Hydrogeology, Model validation, SWAT model, Water resource management, Reliability engineering, Computer science, Engineering, Civil engineering, Statistics, Mathematics, Geotechnical engineering, Data science, Philosophy, Biology, Ecology, Epistemology, Land useTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 9, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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33Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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