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GIS-Based Estimation of Soil Loss from Hilly Urban Area Incorporating Hill Cut Factor into RUSLE

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  • Sagarika Patowary

    (Indian Institute of Technology Guwahati)

  • Arup Kumar Sarma

    (Indian Institute of Technology Guwahati)

Abstract

Unplanned residential development in hilly areas leads to steep cuts in natural hillslopes, which in turn, results in excessive soil loss. GIS-based Revised Universal Soil Loss Equation (RUSLE), applied in such a case, underestimates soil loss since such near vertical surfaces are not completely projected in orthorectified satellite images. This paper introduces a "hill cut factor (Hf)", which is input into the cover management factor of RUSLE model. Model is validated with observed soil loss data of a mini hilly urban watershed located in Japorigog hill of Guwahati city. GIS-based soil loss estimation has been carried out for two scenarios: with and without consideration of Hf. Results reveal that consideration of Hf in GIS-based RUSLE replicates the picture of erosion more accurately and gives a similar result with observed soil loss data. Without consideration of Hf, RUSLE underestimates annual soil loss from the studied watershed by almost 28% than the observed value. Adequate design of drainage system by using more accurate soil loss information, derived in this way, can lower the urban flood problem caused due to blockage of drains and culverts with sediments brought down from the inhabited hills in a city.

Suggested Citation

  • Sagarika Patowary & Arup Kumar Sarma, 2018. "GIS-Based Estimation of Soil Loss from Hilly Urban Area Incorporating Hill Cut Factor into RUSLE," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3535-3547, August.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:10:d:10.1007_s11269-018-2006-5
    DOI: 10.1007/s11269-018-2006-5
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    References listed on IDEAS

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    1. B. Sarma & A. Sarma & V. Singh, 2013. "Optimal Ecological Management Practices (EMPs) for Minimizing the Impact of Climate Change and Watershed Degradation Due to Urbanization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(11), pages 4069-4082, September.
    2. Okan Fistikoglu & Nilgun Harmancioglu, 2002. "Integration of GIS with USLE in Assessment of Soil Erosion," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(6), pages 447-467, December.
    3. Rabin Bhattarai & Dushmata Dutta, 2007. "Estimation of Soil Erosion and Sediment Yield Using GIS at Catchment Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(10), pages 1635-1647, October.
    4. P. Dabral & Neelakshi Baithuri & Ashish Pandey, 2008. "Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(12), pages 1783-1798, December.
    5. Ashish Pandey & V. Chowdary & B. Mal, 2007. "Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(4), pages 729-746, April.
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    1. Mohammad Reza Azimi Sardari & Ommolbanin Bazrafshan & Thomas Panagopoulos & Elham Rafiei Sardooi, 2019. "Modeling the Impact of Climate Change and Land Use Change Scenarios on Soil Erosion at the Minab Dam Watershed," Sustainability, MDPI, vol. 11(12), pages 1-21, June.
    2. Sagarika Patowary & Banasri Sarma & Arup Kumar Sarma, 2019. "A Revision of OPTEMP-LS Model for Selecting Optimal EMP Combination for Minimizing Sediment and Water Yield from Hilly Urban Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1249-1264, March.
    3. Zhifan Chen & Sen Zhang & Wencai Geng & Yongfeng Ding & Xingyuan Jiang, 2022. "Use of Geographically Weighted Regression (GWR) to Reveal Spatially Varying Relationships between Cd Accumulation and Soil Properties at Field Scale," Land, MDPI, vol. 11(5), pages 1-18, April.

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