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Integration of GIS and remote sensing for estimation of soil loss and prioritization of critical sub-catchments: a case study of Tapacurá catchment

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  • Richarde Silva
  • Suzana Montenegro
  • Celso Santos

Abstract

Mapping of erosion risk areas is an important tool for the planning of natural resources management, allowing researchers to propose the modification of land use properly and implement more sustainable long-term management strategies. The objective of this study was to assess and identify critical sub-catchments for soil conservation management using the USLE, GIS, and remote sensing techniques. The Tapacurá catchment is one of the planning units for water resource management of the Recife Metropolitan Region. Maps of the erosivity (R), erodibility (K), slope (LS), cover-management (C), and support practice (P) factors were derived from the climate database, digital elevation model, and soil and land-use maps. In order to validate the simulation process, total sediment delivery ratio was estimated. The results showed a mean sediment delivery ratio (SDR) of around 11.5 % and a calculated mean sediment yield of 0.108 t ha −1 year −1 , which is close to the observed one, 0.169 t ha −1 year −1 . The obtained soil loss map could be considered as a useful tool for environmental monitoring and water resources management. The methodology applied showed acceptable precision and allowed the identification of the most susceptible areas to soil erosion by water, constituting an important predictive tool for soil and environmental management in this region, which is highly relevant for the prediction of varying development scenarios for Tapacurá catchment. This approach can be applied to other areas for simple and reliable identification of critical areas of soil erosion in catchments. Copyright Springer Science+Business Media B.V. 2012

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  • Richarde Silva & Suzana Montenegro & Celso Santos, 2012. "Integration of GIS and remote sensing for estimation of soil loss and prioritization of critical sub-catchments: a case study of Tapacurá catchment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 953-970, July.
    • Handle: RePEc:spr:nathaz:v:62:y:2012:i:3:p:953-970
    DOI: 10.1007/s11069-012-0128-2
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    1. 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.
    2. Sreenivasulu Vemu & Udaya Pinnamaneni, 2011. "Estimation of spatial patterns of soil erosion using remote sensing and GIS: a case study of Indravati catchment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1299-1315, December.
    3. 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.
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    2. Nektarios N. Kourgialas & Georgios C. Koubouris & George P. Karatzas & Ioannis Metzidakis, 2016. "Assessing water erosion in Mediterranean tree crops using GIS techniques and field measurements: the effect of climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 65-81, October.
    3. Rong Zhang & Celso Santos & Madalena Moreira & Paula Freire & João Corte-Real, 2013. "Automatic Calibration of the SHETRAN Hydrological Modelling System Using MSCE," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(11), pages 4053-4068, September.
    4. Morteza Akbari & Ehsan Neamatollahi & Hadi Memarian & Mohammad Alizadeh Noughani, 2023. "Assessing impacts of floods disaster on soil erosion risk based on the RUSLE-GloSEM approach in western Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(2), pages 1689-1710, June.
    5. Sanjeet Kumar & Ashok Mishra, 2015. "Critical Erosion Area Identification Based on Hydrological Response Unit Level for Effective Sedimentation Control in a River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 1749-1765, April.
    6. Yanfang Hu & Guohang Tian & Audrey Mayer & Ruizhen He, 2015. "Risk assessment of soil erosion by application of remote sensing and GIS in Yanshan Reservoir catchment, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 277-289, October.
    7. Ranghu Wang & Shuwen Zhang & Jiuchun Yang & Luoman Pu & Chaobin Yang & Lingxue Yu & Liping Chang & Kun Bu, 2016. "Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China," Sustainability, MDPI, vol. 8(4), pages 1-20, March.

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