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A DISTRIBUTED AND OBJECT-ORIENTED RAINFALL-RUNOFF SIMULATION MODEL WITH HIGH SPATIAL RESOLUTION IMPERVIOUS SURFACE

机译:具有高空间分辨率不透水表面的分布式和面向对象的降雨径流模拟模型

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In this study we develop a distributed and object-oriented rainfall-runoff simulation (DORS) model with incorporation of 1-m high spatial resolution impervious surface area (ISA) data obtained from true-color digital orthophoto. This physically based model simulates hydrologic processes of precipitation interception, infiltration, evaporation and evapotranspiration, soil moisture and change of water table depth, runoff routing, ground water routing and channel routing. The model takes land-cover based objects as spatial units to reduce data volume, increase computational efficiency, strengthen representation of watersheds and utilize the data in various scales. The model is able to extract the relationship between neighboring objects such as slope, flow direction and border length and uses them for the runoff and ground water routing. We validate the DORS model within two watersheds with USGS discharge measurements in the state of Rhode Island. Total relative variation, ratio of absolute error, and Nash coefficient are -3.6percent, 9.6percent, and 0.998 for one watershed and 3percent, 12.4percent and 0.8 for another. The validation result indicates that the DORS model is capable of capturing the relationship between rainfall and runoff in the study watersheds. The comparison between results using high and low spatial resolution ISA demonstrates that incorporation of high spatial resolution ISA improves obviously the performance of hydrologic model.
机译:在这项研究中,我们开发出的从真彩色数字正射影像获得的1-m的高空间分辨率不透水表面区域(ISA)数据掺入一种分布式面向对象的降雨径流模拟(DORS)模型。此基于物理的模型模拟截留,渗透,蒸发和蒸散,土壤湿度和水表深度的变化的水文过程,径流路由,地下水路由和通道路由。该模型利用基于陆地的覆盖对象作为空间单位,以减少数据量,提高计算效率,加强流域表示和利用在不同尺度的数据。该模型是能够提取作为斜率相邻之间的关系的对象,例如,流动方向和边界长度,并使用它们用于径流和地下水路由。我们验证两个分水岭,在罗得岛州USGS放电测量中DORS模型。总相对变化,绝对误差的比,和Nash系数是-3.6percent,9.6percent,以及0.998一分水和3percent,12.4percent和0.8另一个。验证结果表明该模型DORS能够捕捉在研究流域降水和径流之间的关系。使用高和低空间分辨率ISA结果之间的比较表明高空间分辨率ISA的是掺入明显提高水文模型的性能。

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