View in EDS

Surface runoff modeling in the Subarnarekha River basin using SWAT for sustainable water resource management.

Saved in:
Bibliographic Details
Title: Surface runoff modeling in the Subarnarekha River basin using SWAT for sustainable water resource management.
Authors: Patra, Suman1 (AUTHOR) sumanpatrarsgisresearch@gmail.com, Sarkar, Rajib1 (AUTHOR) rajib.sarkar@adamasuniversity.ac.in, Das, Manas2 (AUTHOR) manaskudas21458@gmail.com, Chatterjee, Uday3 (AUTHOR) raj.chatterjee459@gmail.com, Bhadra, Tuhin1 (AUTHOR) tuhin.bhadra@adamasuniversity.ac.in, Ghosh, Anitabha4 (AUTHOR) anitabhaghosh@gmail.com
Source: Advances in Space Research. Jun2026, Vol. 77 Issue 12, p11818-11836. 19p.
Subjects: Runoff models, Water management, Climate change, Watersheds, Hydrologic models, Flood risk, Runoff
Geographic Terms: India, Jamshedpur (India), Odisha (India)
Abstract: Runoff is the flow of water that occurs when excess rainwater from the land surface flows over the ground or through storm drains into nearby waterways, such as rivers, lakes, or oceans. Runoff estimation is crucial for flood risk assessment, urban planning and design, agricultural planning, and assessing the impact of climate change. The present study aims to estimate runoff on an ungauged and data-scarce river using a physically based model that considers physical, hydrological, and climatological conditioning parameters for the Subarnarekha River basin, Odisha, India. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) based digital elevation model (DEM), Landsat TM and OLI (5 & 8) image data, soil information, daily gridded rainfall and temperature data, and discharge data were collected and used to estimate runoff. The Soil and Water Analysis Tool (SWAT) model was employed for watershed delineation, to create a hydrological response unit (HRU), and to simulate associated surface runoff in the study region, considering land use and land cover (LULC) changes. The model indicated that the surface runoff in 2011 was 303.74 mm, and by 2022, it had increased to 331.92 mm. The mean surface runoff increased in 2022 compared to 2011. This model was calibrated using data from 1994 to 2009 and validated with temporal data from 2010 to 2014 of a mono-location discharge point at Jamshedpur using the SWAT Calibration and Uncertainty Program (CUP). Here, the Sequential Uncertainty Fitting, version 2 (SUFI-2) algorithm was used to calibrate and validate the model. The calibration value of NSE = 0.74, PBIAS = 16.2, RSR = 0.51, R2 is 0.76. The model validation values are as follows: NSE = 0.78, PBIAS = −10.5, RSR = 0.47, and R2 = 0.81. The outcome of this study highlights the estimation of runoff modeling using identified hydrological factors, such as land use, rainfall, percolation, and soil water, in a physically based model. This study contributes to the development of sustainable water resource management plans in climate-extremism-affected regions, enhances the understanding of basin-wise flood and drought scenarios, and quantifies associated uncertainties. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Space Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 194127387
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Surface runoff modeling in the Subarnarekha River basin using SWAT for sustainable water resource management.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Patra%2C+Suman%22">Patra, Suman</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sumanpatrarsgisresearch@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sarkar%2C+Rajib%22">Sarkar, Rajib</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rajib.sarkar@adamasuniversity.ac.in</i><br /><searchLink fieldCode="AR" term="%22Das%2C+Manas%22">Das, Manas</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> manaskudas21458@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Chatterjee%2C+Uday%22">Chatterjee, Uday</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> raj.chatterjee459@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Bhadra%2C+Tuhin%22">Bhadra, Tuhin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tuhin.bhadra@adamasuniversity.ac.in</i><br /><searchLink fieldCode="AR" term="%22Ghosh%2C+Anitabha%22">Ghosh, Anitabha</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> anitabhaghosh@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Advances+in+Space+Research%22">Advances in Space Research</searchLink>. Jun2026, Vol. 77 Issue 12, p11818-11836. 19p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Runoff+models%22">Runoff models</searchLink><br /><searchLink fieldCode="DE" term="%22Water+management%22">Water management</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Watersheds%22">Watersheds</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrologic+models%22">Hydrologic models</searchLink><br /><searchLink fieldCode="DE" term="%22Flood+risk%22">Flood risk</searchLink><br /><searchLink fieldCode="DE" term="%22Runoff%22">Runoff</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink><br /><searchLink fieldCode="DE" term="%22Jamshedpur+%28India%29%22">Jamshedpur (India)</searchLink><br /><searchLink fieldCode="DE" term="%22Odisha+%28India%29%22">Odisha (India)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Runoff is the flow of water that occurs when excess rainwater from the land surface flows over the ground or through storm drains into nearby waterways, such as rivers, lakes, or oceans. Runoff estimation is crucial for flood risk assessment, urban planning and design, agricultural planning, and assessing the impact of climate change. The present study aims to estimate runoff on an ungauged and data-scarce river using a physically based model that considers physical, hydrological, and climatological conditioning parameters for the Subarnarekha River basin, Odisha, India. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) based digital elevation model (DEM), Landsat TM and OLI (5 & 8) image data, soil information, daily gridded rainfall and temperature data, and discharge data were collected and used to estimate runoff. The Soil and Water Analysis Tool (SWAT) model was employed for watershed delineation, to create a hydrological response unit (HRU), and to simulate associated surface runoff in the study region, considering land use and land cover (LULC) changes. The model indicated that the surface runoff in 2011 was 303.74 mm, and by 2022, it had increased to 331.92 mm. The mean surface runoff increased in 2022 compared to 2011. This model was calibrated using data from 1994 to 2009 and validated with temporal data from 2010 to 2014 of a mono-location discharge point at Jamshedpur using the SWAT Calibration and Uncertainty Program (CUP). Here, the Sequential Uncertainty Fitting, version 2 (SUFI-2) algorithm was used to calibrate and validate the model. The calibration value of NSE = 0.74, PBIAS = 16.2, RSR = 0.51, R2 is 0.76. The model validation values are as follows: NSE = 0.78, PBIAS = −10.5, RSR = 0.47, and R2 = 0.81. The outcome of this study highlights the estimation of runoff modeling using identified hydrological factors, such as land use, rainfall, percolation, and soil water, in a physically based model. This study contributes to the development of sustainable water resource management plans in climate-extremism-affected regions, enhances the understanding of basin-wise flood and drought scenarios, and quantifies associated uncertainties. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Advances in Space Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194127387
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.asr.2026.04.017
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 11818
    Subjects:
      – SubjectFull: Runoff models
        Type: general
      – SubjectFull: Water management
        Type: general
      – SubjectFull: Climate change
        Type: general
      – SubjectFull: Watersheds
        Type: general
      – SubjectFull: Hydrologic models
        Type: general
      – SubjectFull: Flood risk
        Type: general
      – SubjectFull: Runoff
        Type: general
      – SubjectFull: India
        Type: general
      – SubjectFull: Jamshedpur (India)
        Type: general
      – SubjectFull: Odisha (India)
        Type: general
    Titles:
      – TitleFull: Surface runoff modeling in the Subarnarekha River basin using SWAT for sustainable water resource management.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Patra, Suman
      – PersonEntity:
          Name:
            NameFull: Sarkar, Rajib
      – PersonEntity:
          Name:
            NameFull: Das, Manas
      – PersonEntity:
          Name:
            NameFull: Chatterjee, Uday
      – PersonEntity:
          Name:
            NameFull: Bhadra, Tuhin
      – PersonEntity:
          Name:
            NameFull: Ghosh, Anitabha
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 02731177
          Numbering:
            – Type: volume
              Value: 77
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Advances in Space Research
              Type: main
ResultId 1