Kindie Zewdie Werede, T. K. Lohani, Bogale Gebremariam Neka, Getachew Bereta Geremew
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引用次数: 0
摘要
利用 MIKE SHE 模型对吉贝上游集水区的土地利用和土地覆被变化进行了深入研究,并通过统计检验进行了分析。Mann-Kendall 检验用于识别潜在的趋势,而 Pettit 检验则用于检测降雨、温度和溪流的突然变化。绘制了三幅 LULC 变化图(1990 年、2003 年和 2018 年),以观察它们如何影响集水区的水文格局。在年平均时间尺度上进行了统计分析,以确定异常现象之间的关系。我们注意到,某些气温测量仪在统计上显示气温显著上升。在研究期间,确定了 20 世纪 80 年代和 90 年代的变化点。年溪流趋势显示出增长趋势,但并不显著。LULC 的变化导致地表径流增加,这归因于农业、定居点和水体的扩大,以及裸地、森林、灌木林和草地的减少。MIKE SHE 模型在校准和验证期间的月度时间尺度上都表现良好。LULC 的变化对雨季和旱季的溪流都有明显影响,导致雨季平均月溪流流量增加,而旱季流量减少。MIKE SHE 研究和相关统计分析是一种截然不同的结果感知方法。
Modeling streamflow responses to land use and land cover change using MIKE SHE model in the upper Omo Gibe catchment of Ethiopia
The land use and land cover (LULC) changes in the upper Gibe catchment were studied intricately using the MIKE SHE model and analyzed through statistical tests. The Mann–Kendall test was used to identify potential trends, while the Pettit test was used to detect abrupt changes in rainfall, temperature, and streamflow. A set of three maps of LULC change (1990, 2003, and 2018) was developed to observe how they affect the hydrological pattern of the catchment. Statistical analyses were conducted at mean annual time scales to establish relationships among the anomalies. It has been noted that certain temperature gauges showed statistically significant increases in temperature. Change points in the 1980s and 1990s were identified during the study period. The annual streamflow trends displayed an increasing trend that was not that significant. LULC changes contributed to increased surface runoff, attributed to agricultural, settlement, and water body expansion, as well as reductions in bare land, forest, shrubland, and grassland. The MIKE SHE model performed well during both the calibration and validation periods on the monthly time scale. The alterations in LULC had a noticeable impact on stream flows during both wet and dry seasons, resulting in increased mean monthly stream flows during the wet season and decreased flows during the dry season. The MIKE SHE study and related statistical analysis is quite a different method to perceive the results.