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Evaluation of curve number and geomorphology-based models for surface runoff prediction from ungauged watersheds

机译:评估基于曲线数和基于地貌的模型的非流域地表径流预测

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Prediction of surface runoff from ungauged and inadequately gauged watersheds in India necessitates development of models to simulate the watershed hy-drologic responses. To accomplish this, curve number (CN) approaches and geomorphological instantaneous unit hydrograph (GIUH) models are used. This article discusses the adequacy of a modified exponentially distributed GIUH (ED-GIUH) model in generating direct runoff hydrographs (DRHs). The ED-GIUH concepts were used to generate the DRHs for the Banha watersheds under the Upper Damoder Valley, Jhark-hand, India. The estimated runoff using the ED-GIUH concept was compared with the original natural resources conservation service curve number (NRCS-CN) generated runoff and validated with the observed runoff data of the watershed. The model input data, including natural drainage network and Horton's morphological parameters were estimated using a watershed morphological estimation tool interface of Ar-cGIS registered . The path probability of channel and overland flow was estimated from the generated feature classes of watershed topology and drainage networks to derive the instantaneous unit hydrograph (IUH). Further, from the IUH, an accounting procedure was used to estimate the unit hydrograph and DRHs for different rainfall events occurring over the watershed. It was observed that the ED-GIUH technique was better (coefficient of determination R super(2) = 0.97, model efficiency E = 0.96) than the NRCS-CN approach (R super(2) = 0.74, E = 0.71) with respect to the observed DRH resulting from rainfall events of 6 h duration or less. However, for rainfall events greater than 6 h, the ED-GIUH method (R super(2) = 0.71, E = 0.58) failed to predict the surface runoff accurately compared to the CN method (R super(2) = 0.89, E = 0.84). Thus the ED-GIUH model could be used to predict DRHs from small-duration events more accurately than the CN approaches for ungauged watersheds having similar geomorphological characteristics as that of the Banha watershed.
机译:为了预测印度未注水和计量不足的流域的地表径流,需要开发模型来模拟流域的水文响应。为此,使用了曲线数(CN)方法和地貌瞬时单位水位图(GIUH)模型。本文讨论了修改后的指数分布GIUH(ED-GIUH)模型在生成直接径流水位图(DRH)中的适用性。 ED-GIUH概念被用于为印度贾克汉德(Dhark-hand)上达莫德河谷(Upper Damoder Valley)下的Banha流域生成DRH。将使用ED-GIUH概念估算的径流与原始自然资源保护服务曲线编号(NRCS-CN)生成的径流进行比较,并用流域的观测径流数据进行验证。使用Ar-cGIS注册的分水岭形态估计工具界面,估计了模型输入数据,包括自然排水网络和霍顿的形态参数。根据生成的流域拓扑和排水网络特征类来估算河道和陆上径流的路径概率,以得出瞬时单位水位图(IUH)。此外,根据IUH,使用会计程序来估算流域内发生的不同降雨事件的单位水位图和DRH。观察到,相对于NRCS-CN方法(R super(2)= 0.74,E = 0.71),ED-GIUH技术更好(确定系数R super(2)= 0.97,模型效率E = 0.96)。持续时间为6小时或更短的降雨事件导致的观测到的DRH。但是,对于大于6小时的降雨事件,与CN方法相比,ED-GIUH方法(R super(2)= 0.71,E = 0.58)无法准确预测地表径流。 = 0.84)。因此,与CN方法相比,ED-GIUH模型可用于从小持续时间事件中更准确地预测DRH,而CN方法适用于未赋水流域,其地貌特征与Banha流域相似。

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