Abstract A distributed soil water balance model, combined with a lumped karst groundwater model was developed, aiming to simulate stream discharge in karst catchments. Both modelling frameworks, which can be used separately, are presented. They were tested for the Lauchert catchment in the south-west of Germany, using radar based precipitation data, with the focus on simulating flood events. A soil water balance model with 100 m grid resolution was combined with groundwater model compartments on a subcatchment base for the catchment covering 450 km 2 . Results show good fits to observed runoff data and could be verified with soil-moisture and groundwater level observations. Specifically, spatially distributed precipitation data has proven to be very helpful for modelling local storm events, which are often not captured by station based weather data. The presented approach is a promising step towards an early warning system for floods in karst catchments.

中文翻译：

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使用基于雷达的定量降水数据和耦合的土壤和地下水平衡模型在喀斯特地区进行溪流模拟

摘要 建立了分布式土壤水平衡模型，结合集总岩溶地下水模型，旨在模拟岩溶流域的河流流量。介绍了可以单独使用的两种建模框架。他们使用基于雷达的降水数据在德国西南部的 Lauchert 集水区进行了测试，重点是模拟洪水事件。具有 100 m 网格分辨率的土壤水平衡模型与覆盖 450 km 2 流域的子汇水面积基础上的地下水模型隔间相结合。结果显示与观测到的径流数据非常吻合，并且可以通过土壤湿度和地下水位观测进行验证。具体来说，空间分布的降水数据已被证明对模拟当地风暴事件非常有帮助，这些通常不会被基于站点的天气数据捕获。所提出的方法是朝着喀斯特集水区洪水预警系统迈出的有希望的一步。