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首页> 外文期刊>Journal of Hydrology >Continuous streamflow simulation with the HRCDHM distributed hydrologic model
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Continuous streamflow simulation with the HRCDHM distributed hydrologic model

机译:用HRCDHM分布式水文模型进行连续流模拟

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The objective of the authors' work in the area of distributed modeling is to determine the manner with which rainfall input and model parameter uncertainty shapes the character of the flow simulation and prediction uncertainty of distributed hydrologic models. Toward this end and as a tool for the investigation, a distributed model, HRCDHM, has been formulated and tested as part of the NOAA Distributed Model Intercomparison Project (DMIP). This paper examines hourly flow simulations from HRCDHM applied with operational data obtained for the DMIP study watersheds. HRCDRM is a catchment-based, distributed input, distributed parameter hydrologic model. The hydrologic processes of infiltration/percolation, evapotranspiration, surface and subsurface flow (includes leakage to deep groundwater) are modeled along the vertical direction on a subcatchment basis in a manner similar to the Sacramento Soil Moisture Accounting model, and kinematic channel routing carries the flow through the network of subcatchments to the watershed outlet, providing capability for spatially distributed flow simulations. Subcatchment physical properties are derived from various digital terrain and land-characteristics databases through GIS processing and they are used to derive spatially distributed model parameter values. The NWS operational WSR-88D hourly radar rainfall estimates (Stage III product with pixel scale of approximately 4 km) constitute the rainfall forcing and a combination of model-derived and observed hourly surface meteorological data are used to produce the potential evapotranspiration forcing. HRCDHM was applied to and was calibrated for five watersheds for the period May 1993 through June 2000. Validation was done with data not used during the calibration period. This application shows that: (a) the HRCDHM, when forced with hourly data, is able to reproduce well the observed hourly streamflow at the outlet of each study watershed; and (b) beyond these outlet locations, HRCDHM is able to reproduce adequately the hourly flows at several interior locations. A companion paper [J. Hydrol. (2004)], in this issue details the use of the model for the characterization of simulation uncertainty within a Monte Carlo framework. (C) 2004 Elsevier B.V. All rights reserved.
机译:作者在分布式建模领域的工作目标是确定降雨输入和模型参数不确定性如何影响分布式水文模型的流量模拟和预测不确定性的方式。为此,作为调查工具,已将分布式模型HRCDHM作为NOAA分布式模型比较项目(DMIP)的一部分进行了开发和测试。本文研究了HRCDHM的每小时流量模拟,并应用了针对DMIP研究流域获得的运行数据。 HRCDRM是一个基于集水区的分布式输入,分布式参数水文模型。沿垂直方向在子汇水面积上模拟了渗透/渗流,蒸散,地表和地下流量(包括渗入深层地下水的渗漏)的水文过程,其方式与萨克拉曼多土壤水分核算模型相似,运动学河道布设了水流通过子集水区网络到分水岭出口,为空间分布的流量模拟提供了能力。子汇水面积的物理特性是通过GIS处理从各种数字地形和土地特征数据库中得出的,它们可用于得出空间分布的模型参数值。 NWS运行中的WSR-88D每小时雷达降雨量估算(像素级约为4 km的第三阶段产品)构成了降雨强迫,并结合了模型得出的和观测到的每小时地面气象数据来产生潜在的蒸散强迫。将HRCDHM应用于1993年5月至2000年6月的五个流域并对其进行了校准。对校准期间未使用的数据进行了验证。此应用程序表明:(a)HRCDHM在强制使用每小时数据的情况下,能够很好地重现每个研究流域出口处观察到的每小时流量; (b)在这些出口位置之外,HRCDHM能够在几个内部位置充分再现小时流量。随行论文[J.液压(2004年),本期详细介绍了该模型在蒙特卡洛框架内表征仿真不确定性的用途。 (C)2004 Elsevier B.V.保留所有权利。

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