Geo-spatial Study of Farmland Affected by 2020 Flooding of River Rima, Northwestern Nigeria

Muktar, Abdullahi and Yelwa, Sadiq A. and Bello, Muhammad Tayyib and Elekwachi, Wali (2021) Geo-spatial Study of Farmland Affected by 2020 Flooding of River Rima, Northwestern Nigeria. In: Novel Perspectives of Engineering Research Vol. 4. B P International, pp. 111-119. ISBN 978-93-5547-358-5

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Abstract

Flooding of River Rima is an annual issue affecting farmland located within the floodplains. This phenomena causes loss of farm produce and mass destruction of buildings, including roads and bridges in the area. Estimating the farmland affected by the flood will help the policy makers in decision making on how to mitigate the impact of flooding in the affected areas. The Terra/MODIS satellite image with 7-2-1 bands combination was used to classify the image into four landcover types. The area covered by flood was selected to calculate the flood area using Image Calculator module on QGIS software. The class of water was imposed (Map Overlay) on Digital Elevation Model that was obtained from Environmental Monitoring Satellite called The Shuttle Radar Topography Mission (SRTM). The result shows that River Rima flood occupies about 17,517 km2, equivalent to 1.7 million hectares of farmland that is below 230 meters (ASL). It was recommended that the local authorities and decision makers may use the flood map to showing flood risk zones so as to deter construction beyond the buffer. Farmers should adhere strictly to NiMet’s advice based on flood predictions. The civil engineers should also take note of the maximum water level during flooding so as to apply professional advice when constructing roads and bridges in the area. Losses of life and property will be minimised during floods if hydrological and environmental knowledge are considered when performing projects.

Item Type: Book Section
Subjects: Eurolib Press > Engineering
Depositing User: Managing Editor
Date Deposited: 14 Oct 2023 08:12
Last Modified: 14 Oct 2023 08:12
URI: http://info.submit4journal.com/id/eprint/2683

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