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Development and application of a storage-release based distributed hydrologic model using GIS

机译:基于GIS的基于存储释放的分布式水文模型开发与应用

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The objective of this paper is to present the development and application of a grid based hydrologic model using an object oriented framework within geographic information systems (GIS). The proposed model is called Storage Released based Distributed Hydrologic Model (STORE DHM). Development of STORE DHM is a part of a broader objective to develop a modular hydrologic modeling system within GIS. In this paper, the conceptual framework of STORE DHM including its application to three watersheds in Indiana is presented. The model is tested in the study watersheds by first calibrating it against observed flow hydrograph for a single event, and then verifying it for three additional storm events using both point (gauged) and continuous (radar) rainfall data. Results show that SOTRE DHM is able to predict runoff hydrographs for different types of events in terms of storm duration, peak flow magnitude and time-to-peak. The average Nash-Sutcliffe coefficient is greater than 0.8 for all runoff hydrograph during validation, and the errors in peak flow and time-to-peak predictions are within 5% and 15%, respectively. In addition, STORE DHM output is compared with outputs from two hydrologic models including Hydrologic Engineering Center's Hydrologic Modeling System (HEC-HMS) and time variant Spatially Distributed Direct Hydrograph travel time method (SDDH). Results from these comparisons show that STORE DHM outperforms both HEC-HMS and SDDH in terms of overall hydrograph shape and flow magnitude. Although the results from application of STORE DHM are encouraging, the work presented in this paper is just an initial step towards developing a comprehensive tightly coupled GIS modeling framework for hydrology.
机译:本文的目的是在地理信息系统(GIS)中使用面向对象的框架介绍基于网格的水文模型的开发和应用。提出的模型称为基于存储释放的分布式水文模型(STORE DHM)。 STORE DHM的开发是在GIS中开发模块化水文建模系统的更广泛目标的一部分。本文介绍了STORE DHM的概念框架,包括其在印第安纳州三个流域的应用。在研究流域中对模型进行测试,方法是首先针对观测到的单个事件对流水文图进行校准,然后使用点(计)和连续(雷达)降雨数据对其他三个暴风雨事件进行验证。结果表明,SOTRE DHM能够根据风暴持续时间,峰值流量大小和峰值时间来预测不同类型事件的径流水位图。在验证期间,所有径流水位图的平均Nash-Sutcliffe系数均大于0.8,且峰值流量和峰顶时间预测的误差分别在5%和15%之内。此外,将STORE DHM的输出与两个水文模型的输出进行了比较,包括水文工程中心的水文建模系统(HEC-HMS)和时变空间分布直接水文行程时间方法(SDDH)。这些比较的结果表明,就总体水线形状和流量大小而言,STORE DHM优于HEC-HMS和SDDH。尽管STORE DHM的应用取得了令人鼓舞的结果,但本文中介绍的工作只是迈向开发综合的紧密耦合的GIS水文模型框架的第一步。

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