{"title":"Modeling-impact of Land Use/Cover Change on Sediment Yield (Case Study on Omo-gibe Basin, Gilgel Gibe III Watershed, Ethiopia)","authors":"Tesfaye Hailu Estifanos, Bogale Gebremariam","doi":"10.11648/J.AJME.20190506.11","DOIUrl":null,"url":null,"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.","PeriodicalId":208155,"journal":{"name":"American Journal of Modern Energy","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Modern Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/J.AJME.20190506.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
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.
土地利用/覆被变化对水资源的影响是不同场址特定因素和场外条件复杂相互作用的结果;标准化类型的反应很少是足够的。了解土地利用/覆盖变化如何影响流域水文将使地方政府和决策者能够制定和执行有效和适当的应对战略,以尽量减少未来土地利用/覆盖变化或修改的不良影响。本研究采用SWAT模型分析了流域土地利用和土地覆被变化及其对水库沉积的影响。这项研究的主要目的是模拟水文过程,以预测Omo-gibe流域土地利用/覆盖变化对土壤侵蚀和沉积的影响。本文研究了土地利用变化对流域产沙量的影响。该模型将流域划分为62个子流域和372个hru。模型标定和验证在Abelti站完成。除此之外,还在该站对模型效率进行了检查。基于该决定系数(r²)的值,发现Nash-Sutcliffe模型效率(NSE)和偏差百分比(PBIAS)在1990年和2010年土地利用土地覆盖图的校准和验证期内都在可接受的范围内。为了分析土地利用变化对产沙量的影响,采用了不同的比较标准。第一步是选择主要河道周围产沙量较大的子流域。第二个标准是选择和分析产沙量较低的子流域,第三个标准是根据各种土地利用类别的可用性,特别是森林覆盖的子流域。利用1990年和2010年的土地利用/覆被图对各指标进行影响分析时,显示出产沙量的增加。SWAT在1990年和2010年的土地利用/覆被图中估算了从流域到水库的产沙量。因此,1990年的年输沙量为1.1 M t, 2010年土地利用/覆被数据的年输沙量为1.3 M t。与1990年的土地利用/覆被数据相比,2010年的产沙量增加了16.57%。