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Comparison of Semi-Distributed, GIS-Based Hydrological Models for the Prediction of Streamflow in a Large Catchment

机译:基于GIS的半分布式水文模型在大型流域水流预报中的比较

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摘要

Predicting streamflow in a large arid and semi-arid basin is of great importance in understanding the availability of water for spatial planning and water resource management. In this study, two geographic information system-based (GIS-based) semi-distributed hydrological models were compared for predicting flow. TOPMODEL and SWAT require the use of a GIS to process input data obtained from various sources, such as the digital elevation model (DEM), topographic index (TI), hydrologic response unit (HRU), meteorological stations, and soil- and land-use maps. Daily hydro-meteorological data were collected from 1989 to 2007, and 90-m resolution of DEM was considered. The models were compared, and their performances for the prediction of peak flows and runoff volumes were discussed. TOPMODEL and SWAT obtained good coefficient values for the validation period, i.e., 0.61 and 0.68, respectively. According to relative error percentage (RE %) criteria, TOPMODEL provided a promising value for the validation period (64 %) for peak flows, whereas SWAT provided about 70 %. TOPMODEL provided 5-year overestimation and 1-year underestimation for runoff volume; SWAT provided 2-year underestimation and 4-year overestimation. For this study, both models obtained promising simulation results for surface flow.
机译:预测大型干旱和半干旱盆地的水流对于理解空间规划和水资源管理中的水的可用性非常重要。在这项研究中,比较了两个基于地理信息系统(基于GIS)的半分布式水文模型来预测流量。 TOPMODEL和SWAT需要使用GIS来处理从各种来源获得的输入数据,例如数字高程模型(DEM),地形指数(TI),水文响应单位(HRU),气象站以及土壤和土地利用使用地图。从1989年至2007年收集了每日水文气象数据,并考虑了90 m分辨率的DEM。对这些模型进行了比较,并讨论了它们在预测峰流量和径流量方面的性能。在验证期间,TOPMODEL和SWAT获得了良好的系数值,分别为0.61和0.68。根据相对误差百分比(RE%)标准,TOPMODEL为峰值流量的验证期(64%)提供了一个有希望的值,而SWAT提供了大约70%的值。 TOPMODEL为径流量提供了5年的高估和1年的低估; SWAT提供了2年的低估和4年的高估。对于本研究,两个模型都获得了有希望的表面流模拟结果。

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