Journal of Emerging Trends in Engineering and Applied Sciences: Research Areas

Article Title: Estimation of Sediment Yield from River Asa Catchment Using Modified Soil Loss Equation (Musle) and Geographic Information System (GIS)
by Olatunji Olaniyan S.; Azeez Idris A.; Adegbola Adedayo A. and Adisa Oluwatoyin A.

Abstract:
Sediment transport is a major global environmental challenge threatening land and water resources. The estimation of sediment yield is inevitable in order to quantify its magnitude and effects such as flooding, water quality impairment and loss of soil fertility. River Asa water sediment yield was simulated from topographic map, land use/cover map, soil map and rainfall data over the period of 1987-2018 utilizing Modified Soil Loss Equation (MUSLE) and Geographic Information System (GIS). The gradient, slope length and elevation difference between highest and lowest points on the main channel of River Asa catchment were analyzed to be 45.28%, 56.159Km and 371m respectively. The average annual soil erosion loss from the watershed into main River Asa was estimated to be 510.49 Tons/Km2/yr Tons/yr/Km2. The mean annual sediment yield is low compared to that of Sasumua (40,934.00 Tons/yr/Km2) having relatively higher rainfall/ runoff potential and contrarily high to that of Kaduna (84.10 Tons/yr/Km2) which having relatively lower rainfall/ runoff potential. This implies that MUSLE is appreciable a reliable in estimating the sediment yield of River Asa watershed under constraint data condition.

Keywords: Sediment Transport, Sediment Yield, River Asa Catchment, Modified Soil Loss Equation (MUSLE) and Geographic Information System (GIS).

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