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Comparison of raingauge and NEXRAD radar rainfall data for streamflow simulation for a southern Ontario catchment

机译:南安那努集水区南部流出仿真的RaIngauge和Nexrad雷达降雨数据的比较

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The aim of this paper is to compare simulated flows using radar rainfall inputs with those obtained using raingauge rainfall. Both versions of simulated flows are also compared with the observed streamflow. The differences in rainfall volume and spatial variability of these datasets were evaluated for 10 storm events at hourly and daily time-scales using the Hydrologic Engineering Center's Hydrologic Modelling System (HEC-HMS). The model was run in event-mode using the SCS Curve Number method and the Green and Ampt Infiltration method for a catchment in southern Ontario, Canada. For most of the events, the runoff hydrographs obtained using raingauge rainfall had better correlation with observed flows than those obtained using radar rainfall, or merged rainfall inputs. However, the merged rainfall gave better runoff simulations than those obtained using only-radar rainfall data. The use of "only" radar rainfall for hydrological modelling resulted in erroneous outputs. Therefore, adjustment of radar rainfall is important prior to its use for runoff simulations. The estimation of antecedent catchment conditions played a dominant role in the event simulations; therefore, the initial parameters should be carefully selected and calibrated. The SCS Curve Number option gave relatively better results in terms of runoff amount, peak flow-rate, and time to peak, than those obtained using the Green-Ampt Infiltration option.
机译:本文的目的是使用雷达降雨输入进行比较模拟流量,其中使用Raingauge降雨获得的投入。也与观察到的流流进行比较模拟流的两个版本。使用水文工程中心的水文建模系统(HEC-HMS)在每小时和日常尺度下评估这些数据集的降雨量和空间可变性的差异。使用SCS曲线数法和加拿大安大略省南部的集水区和绿色和舒张渗透方法,在事件模式下运行。对于大多数事件,使用RaInGauge降雨获得的径流文化照片与观察到的流量比使用雷达降雨量获得的流量更好,或合并降雨投入。然而,合并的降雨量比仅使用雷达降雨数据获得的更好的径流模拟。使用“仅”雷达降雨进行水文模型导致错误的产出。因此,在径流模拟使用之前,雷达降雨的调整非常重要。在事件模拟中估算了前进的集水区条件的占主导地位;因此,应仔细选择和校准初始参数。 SCS曲线编号选项在径流量,峰值流速和峰值时间方面给出了比较更好的结果,而不是使用绿色AMPT渗透选项获得的峰值。

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