基于Arc GIS的埃塞俄比亚Abbay盆地Muga流域土地利用/覆被变化水文响应评价

N. Assefa
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摘要

研究表明,Arc SWAT与Arc GIS和遥感工具的集成有助于分析和评估土地利用/覆盖的时空动态。研究还表明,在现有数据有限的地区,Arc SWAT是分析土地利用/覆盖变化对河流流量影响的有效工具。本研究主要研究了土地利用/土地覆被变化对埃塞俄比亚阿姆哈拉州东Gojjam区上Abbay盆地东噎山流域Muga流域河流流量的影响。利用SWAT模型研究了土地覆被变化对河流流量的影响。在本研究中,利用SWAT模拟方法识别了穆加流域最易受水流和泥沙负荷变化影响的子流域。该模型使用历史流量数据进行了校准和验证。该模型使用1993年至1998年的河流流量数据进行校准,并在1999年至2002年进行验证。采用R和NSE值检验模型的性能,结果表明,在校正和验证时,R分别为0.81和0.87,NSE分别为0.80和0.86。结果表明:1995—2013年,受土地利用和土地覆被变化的影响,湿季月平均流量增加了17.75m/s,旱季月平均流量减少了12.76m/s。1995年、2003年和2013年地表覆盖图中,子流域5贡献的年地表径流量最高,而子流域6贡献的地下水最高。在产沙量方面,子流域1对研究期的产沙量贡献最大。
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Arc SWAT Model Integrated with Arc GIS - Based Evaluation of Land Use /Land Cover Change on the Hydrological Response of Muga Watershed, Abbay Basin, Ethiopia
The study has shown the integration of Arc SWAT with Arc GIS and remote sensing tool are helpful analyze and evaluate both spatial and temporal land use/cover dynamics. It has also shown that Arc SWAT is an effective tool in analyzing the impacts of land use/cover changes on stream flow in areas with limited readily available data. This study is mainly focusing on the investigation of the impacts of land use / land cover changes on the stream flow of Muga watershed which is located in the East Choke Mountains watersheds, Upper Abbay Basin, East Gojjam Zone, Amhara Regional state, Ethiopia. Soil and Water Assessment Tool (SWAT) model were used it investigate the impact of land cover change on the stream flow. For this study SWAT Simulation is used in identifying the most vulnerable sub basins to the stream flow and sediment load changes of Muga watershed. The model was calibrated and validated using historic Stream flow data. The model was calibrated using stream flow data from 1993 to1998, validated from 1999 to2002. The R and NSE values were used to examine model performance and the result indicates 0.81 and 0.87 to R and 0.80 and 0.86 to NSE during calibration and validation respectively. The result of this analysis indicated that the mean monthly stream flow for wet months had increased by 17.75m/s while the dry season decreased by 12.76m/s during the 1995-2013 period due to the land use and land cover change. The highest annual surface runoff was attributed by sub basin 5 whereas sub basin 6 contributes the highest ground water respectively for 1995, 2003 and 2013 land cover maps. In terms of sediment yield, sub basin 1 contributes a maximum load for the study periods.
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