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Soil Erosion Susceptibility Mapping of Imo River Basin Using Modified Geomorphometric Prioritisation Method

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  • Nwilo Peter C.

    (Department of Surveying and Geoinformatics, University of Lagos, Lagos, Nigeria)

  • Ogbeta Caleb O.

    (Department of Surveying and Geoinformatics, University of Lagos, Lagos, Nigeria)

  • Daramola Olagoke E.

    (Department of Surveying and Geoinformatics, University of Lagos, Lagos, Nigeria)

  • Okolie Chukwuma J.

    (Department of Surveying and Geoinformatics, University of Lagos, Lagos, Nigeria)

  • Orji Michael J.

    (Department of Surveying and Geoinformatics, University of Lagos, Lagos, Nigeria)

Abstract

Gullies and other forms of erosion have been the greatest environmental problem and catastrophe in most high- and low-income countries. The challenge posed by soil erosion has compromised agricultural productivity, environmental biodiversity and food safety for the world's population. It is important to identify vulnerable areas to soil erosion in each region to initiate remedial measures. This study demonstrates the use of watershed morphometry coupled with weighted sum analysis (WSA) to estimate the soil erosion susceptibility of the Imo River Basin sub-watersheds (SWs) in South-Eastern Nigeria using satellite remote-sensing data and geographic information system (GIS) analysis. To this end, Shuttle Radar Topography Mission (SRTM), a Digital Elevation Model (DEM) with 30 m spatial resolution was used to extract and analyse 18 morphometric parameters including basic, linear, shape and relief. The method of receiver operating characteristics (ROC) curves was used to validate the model's prediction accuracy. This morphometry-based analysis resulted in the SWs being classified into zones of low, medium, high and very high erosion susceptibility. With regard to erosion susceptibility, 41.51% of the basin (2494.68 km2) is in the very high priority zone; while 10.50%, 44.33% and 3.66% of the basin are in the high, medium and low priority zones respectively. Validation of the final erosion susceptibility map showed a prediction accuracy of 81%. The use of satellite imagery and morphometric analysis in this study was cost- and time-effective for identifying areas susceptible to soil erosion.

Suggested Citation

  • Nwilo Peter C. & Ogbeta Caleb O. & Daramola Olagoke E. & Okolie Chukwuma J. & Orji Michael J., 2021. "Soil Erosion Susceptibility Mapping of Imo River Basin Using Modified Geomorphometric Prioritisation Method," Quaestiones Geographicae, Sciendo, vol. 40(3), pages 143-162, September.
    • Handle: RePEc:vrs:quageo:v:40:y:2021:i:3:p:143-162:n:2
    DOI: 10.2478/quageo-2021-0029
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    References listed on IDEAS

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    1. Sartori, Martina & Philippidis, George & Ferrari, Emanuele & Borrelli, Pasquale & Lugato, Emanuele & Montanarella, Luca & Panagos, Panos, 2019. "A linkage between the biophysical and the economic: Assessing the global market impacts of soil erosion," Land Use Policy, Elsevier, vol. 86(C), pages 299-312.
    2. Panos Panagos & Pasquale Borrelli & David Robinson, 0. "FAO calls for actions to reduce global soil erosion," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(5), pages 789-790.
    3. Pasquale Borrelli & David A. Robinson & Larissa R. Fleischer & Emanuele Lugato & Cristiano Ballabio & Christine Alewell & Katrin Meusburger & Sirio Modugno & Brigitta Schütt & Vito Ferro & Vincenzo Ba, 2017. "An assessment of the global impact of 21st century land use change on soil erosion," Nature Communications, Nature, vol. 8(1), pages 1-13, December.
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