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Estimation of Clark's Instantaneous Unit Hydrograph Parameters and Development of Direct Surface Runoff Hydrograph

机译:克拉克瞬时单位水文参数的估计和直接径流水文图的发展

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We present a method to estimate Time of Concentration (T_c) and Storage Coefficient (R) to develop Clark's Instantaneous Unit Hydrograph (CIUH). T_c is estimated from Time Area Diagram of the catchment and R is determined using optimization approach based on Downhill Simplex technique (code written in FORTRAN). Four different objective functions are used in optimization to determine R. The sum of least squares objective function is used in a novel way by relating it to slope of a linear regression best fit line drawn between observed and simulated peak discharge values to find R. Physical parameters (delineation, land slope, stream lengths and associated drainage areas) of the catchment are derived from SPOT satellite imageries of the basin using ERDAS: Arc GIS is used for geographic data processing. Ten randomly selected rainfall-runoff events are used for calibration and five for validation. Using CIUH, a Direct surface runoff hydrograph (DSRH) is developed. Kaha catchment (5,598 km~2), part of Indus river system, located in semi-arid region of Pakistan and dominated by hill torrent flows is used to demonstrate the applicability of proposed approach. Model results during validation are very good with model efficiency of more than 95% and root mean square error of less than 6%. Impact of variation in model parameters T_c and R on DSRH is investigated. It is identified that DSRH is more sensitive to R compared to T_c. Relatively equal values of R and T_c reveal that shape of DSRH for a large catchment depends on both runoff diffusion and translation flow effects. The runoff diffusion effect is found to be dominant.
机译:我们提出了一种估算浓度时间(T_c)和存储系数(R)的方法,以开发克拉克瞬时单位水位图(CIUH)。 T_c是根据流域的时区图估算的,R是使用基于Downhill Simplex技术(用FORTRAN编写的代码)的优化方法确定的。在优化中使用了四个不同的目标函数来确定R。通过将新颖的最小二乘目标函数与观察到的和模拟的峰值排放值之间绘制的线性回归最佳拟合线的斜率关联以找到R,以新颖的方式使用目标函数。流域的SPOT卫星图像使用ERDAS得出流域的参数(轮廓,坡度,河流长度和相关的流域面积):Arc GIS用于地理数据处理。使用十个随机选择的降雨径流事件进行校准,并使用五个事件进行验证。使用CIUH,开发了直接表面径流水位图(DSRH)。喀哈流域(5,598 km〜2)是印度河系统的一部分,位于巴基斯坦半干旱地区,以山洪洪流为主,用来证明该方法的适用性。验证期间的模型结果非常好,模型效率超过95%,均方根误差小于6%。研究了模型参数T_c和R的变化对DSRH的影响。已经确定,与T_c相比,DSRH对R更敏感。 R和T_c的值相对相等,表明大流域DSRH的形状取决于径流扩散和平流作用。发现径流扩散效应是主要的。

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