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Modelling catchment hydrology within a GIS based SVAT-model framework

机译:在基于GIS的SVAT模型框架内对流域水文进行建模

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The physically-based soil-vegetation-atmosphere-transfer model PROMET (PRocess-Oriented Model for Evapo Transpiration) developed at the Institute of Geography, University of Munich, is applied to the Ammer basin (approx. 600 km2 ) in the alpine foreland of Germany. The hourly actual evapotranspiration rate is calculated for a 14-year time series. A rainfall-runoff model, based on an enhanced distributed TOPMODEL structure, is linked to the SVAT-model in order to provide a hydrological model covering the water-cycle at the basin scale in a 30m-resolution. The model is driven with meteorological data taken from regular synoptic stations of the German Weather Service. Soil physical and plant physiological parameters for the SVAT model were either measured at the test site or taken from literature. The topographical parameters were derived from detailed digital terrain analysis. The study intends to combine, within a GIS-based model framework, the understanding and application of physical processes inherent in the basin such as the spatial distribution and temporal evolution of evapotranspiration and runoff patterns. The influence of an evapotranspiration coefficient ETcoeff, implemented in the formulation of the soil-topographic-index, to account for seasonal dynamics in distributed runoff formation due to the annual course of vegetation activity is investigated. The SVAT model shows convincing results in the long-term water balance description with a mean annual deviation of less then 6% over a fourteen year time period. Introducing the evapotranspiration-soil-topographic-index αET leads to a considerable improvement; the runoff model component simulating the daily runoff over the year reaches an efficiency of ε = 0.92. style="line-height: 20px;">Keywords: Water cycle; Geographic Information System; SVAT; TOPMODEL
机译:由慕尼黑大学地理研究所开发的基于物理的土壤-植被-大气转移模型PROMET(面向过程的蒸发蒸腾模型)被应用于Ammer盆地(约600 km 2 )在德国的高山前陆。以14年的时间序列计算每小时的实际蒸散量。基于增强型分布式TOPMODEL结构的降雨径流模型与SVAT模型链接,以便提供以30m分辨率覆盖流域尺度水循环的水文模型。该模型由德国气象局常规天气站的气象数据驱动。 SVAT模型的土壤物理和植物生理参数在测试地点进行了测量或从文献中获取。地形参数来自详细的数字地形分析。该研究旨在在基于GIS的模型框架内结合流域固有的物理过程的理解和应用,例如蒸​​散和径流模式的空间分布和时间演变。蒸散系数<​​i> ET coeff 的影响在土壤-地貌指数的制定中得到了体现,以解释由于年年变化而造成的分布式径流形成的季节动态。调查植被活动。 SVAT模型在长期的水平衡描述中显示出令人信服的结果,在十四年的时间段内平均年偏差小于6%。引入蒸散量-土壤-地形指数α ET 带来了很大的改善。 style =“ line-height:20px;”> 关键字:水循环;模拟一年中的日径流量的径流模型组件达到ε= 0.92。地理信息系统; SVAT; TOPMODEL

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