Paper Contents
Abstract
Applicability and integration of Geographic Information System (GIS) technology and Remote Sensing (RS) with morphometric analysis are essential in modeling, delineating, and predicting water-induced soil erosion risks over a vast area. Globally, water resource locations are vulnerable to soil erosion risks. There is a need to create digital maps of geologic, ground elevation, watershed network systems, and soil erosion models combined statistically in GIS to delineate areas at risk of soil erosion. The study applied ArcGIS integrated with morphometric analysis to collect data and model soil erosion risks in Lake Mutanda environs. Garmin GPS, RS, field surveys, and GIS mapping were used to collect topographic, soil type, vegetation, and land use data. The results reveal that Lake Nakuru receives significant water volume and sediments from its distributaries and littoral land as evidenced by many rills and gullies. There are significant variations in slope, aspect, drainage density, and stream order across Lake Nakuru, indicating variations in the terrain's susceptibility to erosion processes. Steeper slopes were potential erosion hotspots, experiencing surface runoff and soil erosion. The south-facing slopes exhibited higher erosion risks due to increased exposure to solar radiation and potential drying of the soil. The study recommends the implementation of erosion control measures in high-risk zones, raising awareness about sustainable land management practices, and providing training on erosion control techniques that can contribute to long-term soil conservation efforts.
Copyright
Copyright © 2024 Fredrick Kayusi. This is an open access article distributed under the Creative Commons Attribution License.
