Abstract

Impacts of land use/cover change on water resources are the result of complex interactions between diverse site-specific factors and offsite conditions; standardized types of responses will rarely be adequate. The knowledge of how land use/cover change influence watershed hydrology will enable local governments and policy makers to formulate and implement effective and appropriate response strategies to minimize the undesirable effects of future land use/cover change or modifications. In this research SWAT model was used for analyzing the land use and land cover change of the watershed and its impact on reservoir sedimentation. The main objective of the research was to model the hydrological processes that will predict the impact of land use/cover changes on soil erosion and sedimentation in the Omo-gibe basin. In this paper the influence of land use changes on catchment’s sediment yield is observed. The delineated watershed was divided into 62 sub basins and 372 HRUs by the model. Model calibration and validation was done at Abelti station. In addition to this the model efficiency was checked at this station. Based on this values for coefficient of determination (r²), Nash–Sutcliffe model efficiency (NSE) and percentage of bias (PBIAS) were found to be in the acceptable range for 1990 and 2010 land use land cover maps in both calibration and validation period. To analyze the impact of land use change on sediment yield different comparison criteria were applied. The first was selecting sub basins having higher sediment yield and found around the main course of the river. The second was selecting and analyzing sub basins having lower sediment yield and the third criterion was based on availability of varied land use classes specially sub basins covered by forest land. While analyzing the impact of land use/cover in all criteria using 1990 and 2010 land use/cover map, it shows an increase in sediment yield. SWAT estimated the sediment yield from the watershed to the reservoir for both 1990 and 2010 land use/cover maps. Therefore 1.1 M tons annual sediment load was entered to the reservoir during 1990 and 1.3 M tons annual sediment load was entered to the reservoir during 2010 land use/cover data. This shows that there is 16.57% increment of sediment yield in 2010 as compared to 1990 land use/cover data.

Highlights

  • Land use change is ubiquitous drivers of global environmental change

  • The SWAT model was found to be useful in identifying effect of land use changes on hydrological properties and sediment yield

  • SWAT model performance in the Gilgel gibe III Catchment was very good in predicting sediment load despite scarce data of observed suspended sediment load

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Summary

Introduction

Land use change is ubiquitous drivers of global environmental change. Impact assessments frequently show that interactions between climate and land use change can create serious challenges for aquatic ecosystems, water quality, and air. The changes in land-cover have affected the surface and groundwater hydrology and altering the hydrological cycle [23, 24]. These effects vary as functions of seasonality and the changing climate [20]. It might be appropriate to analyze land use/land cover and crucial to know the effects of land use change on catchment hydrology for sound land use planning and water resource management. Tesfaye Hailu Estifanos and Bogale Gebremariam: Modeling-impact of Land Use/Cover Change on Sediment

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