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Article

Soil Erosion Assessment Using the RUSLE Model and Geospatial Techniques (Remote Sensing and GIS) in South-Central Niger (Maradi Region)

1
Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co., Ltd., Xi’an Jiaotong University, Xi’an 710049, China
2
Department of Earth and Environmental Science, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China
*
Author to whom correspondence should be addressed.
Academic Editors: Mirko Castellini and František Petrovič
Water 2021, 13(24), 3511; https://doi.org/10.3390/w13243511
Received: 30 September 2021 / Revised: 12 November 2021 / Accepted: 1 December 2021 / Published: 9 December 2021
(This article belongs to the Section Soil and Water)
A systematic method, incorporating the revised universal soil loss equation model (RUSLE), remote sensing, and the geographic information system (GIS), was used to estimate soil erosion potential and potential area in the Maradi region of south-central Niger. The spatial trend of seasonal soil erosion was obtained by integrating remote sensing environmental variables into a grid-based GIS method. RUSLE is the most commonly used method for estimating soil erosion, and its input variables, such as rainfall erosivity, soil erodibility, slope length and steepness, cover management, and conservation practices, vary greatly over space. These factors were calculated to determine their influence on average soil erosion in the region. An estimated potential mean annual soil loss of 472.4 t/ac/year, based on RUSLE, was determined for the study area. The potential erosion rates varied from 14.8 to 944.9 t/ac/year. The most eroded areas were identified in central and west-southern areas, with erosion rates ranging from 237.1 to 944.9 t/ac/year. The spatial erosion maps can serve as a useful reference for deriving land planning and management strategies and provide the opportunity to develop a decision plan for soil erosion prevention and control in south-central Niger. View Full-Text
Keywords: remote sensing; GIS technique; RUSLE model; soil erosion; land use change; climatic zones; Maradi region remote sensing; GIS technique; RUSLE model; soil erosion; land use change; climatic zones; Maradi region
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MDPI and ACS Style

Sidi Almouctar, M.A.; Wu, Y.; Zhao, F.; Dossou, J.F. Soil Erosion Assessment Using the RUSLE Model and Geospatial Techniques (Remote Sensing and GIS) in South-Central Niger (Maradi Region). Water 2021, 13, 3511. https://doi.org/10.3390/w13243511

AMA Style

Sidi Almouctar MA, Wu Y, Zhao F, Dossou JF. Soil Erosion Assessment Using the RUSLE Model and Geospatial Techniques (Remote Sensing and GIS) in South-Central Niger (Maradi Region). Water. 2021; 13(24):3511. https://doi.org/10.3390/w13243511

Chicago/Turabian Style

Sidi Almouctar, Mohamed A., Yiping Wu, Fubo Zhao, and Jacqueline F. Dossou. 2021. "Soil Erosion Assessment Using the RUSLE Model and Geospatial Techniques (Remote Sensing and GIS) in South-Central Niger (Maradi Region)" Water 13, no. 24: 3511. https://doi.org/10.3390/w13243511

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