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首页> 外文期刊>International Soil and Water Conservation Research >Incorporating a rainfall intensity modification factor γ into the Ia-S Relationship in the NRCS-CN method
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Incorporating a rainfall intensity modification factor γ into the Ia-S Relationship in the NRCS-CN method

机译:在NRCS-CN方法中将降雨强度改性因子γ掺入IA-S关系中

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The Natural Resources Conservation Service runoff curve number (NRCS-CN) method is widely used to simulate direct runoff, but the impact of rainfall intensity has not been considered. In this study, a rainfall intensity modification factor ( γ ) was incorporated into the I a - S relationship of the NRCS-CN method, and the modified method (NRCS–CN–γ) was compared with the NRCS-CN method with λ?=?0.2 and λ?=?0.05 in three watersheds of the Walnut Gulch Experimental Watershed (WGEW). The results showed that for 2016–2018 period, the simulation performance of the NRCS–CN–γ method was close to the NRCS-CN (λ?=?0.05) method and better than the NRCS-CN (λ?=?0.2) method. When the new data (2009 data with high variance) was added, the significant improvement was observed by NRCS–CN–γ method with all the evaluation parameters being the best in the three watersheds, indicating a more adapted capability of the modified method with highly uneven rainfall intensities. The covariance between rainfall intensity and the simulated runoff were 19.01, 15.14, and 16.35 for the three methods, respectively. When the optimal CN changed, the relative errors representing CN sensitivity were 6.25, 6.49 and 17.39 for the methods, respectively. It is suggested that the NRCS–CN–γ method outperformed the other two methods and could contribute to a more accurate estimation of direct runoff where rainfall intensity greatly varied, especially in monsoon region or under the context of climate change.
机译:自然资源保护服务径流曲线数(NRCS-CN)方法广泛用于模拟直接径流,但尚未考虑降雨强度的影响。在该研究中,将降雨强度改性因子(γ)掺入NRCS-CN方法的I A-S关系中,并将改性方法(NRCS-CN-γ)与NRCS-CN方法与λ进行进行比较? =?0.2和λ≤核桃谷实验流域的三个流域0.2和λ= 0.05。结果表明,对于2016 - 2018年期间,NRCS-CN-γ方法的模拟性能接近NRCS-CN(λ=Δ05)方法,而不是NRCS-CN(λ=Δ0.2)方法。当添加新数据(2009年数据的数据)时,NRCS-CN-γ方法观察到显着改善,所有评价参数都是三个流域中最好的,表明修改方法的高度适应性降雨强度不均匀。降雨强度与模拟径流之间的协方差分别为三种方法为19.01,15.14和16.35。当最佳CN改变时,分别表示CN灵敏度的相对误差分别为6.25,6.49和17.39。建议NRCS-CN-γ方法优于另外两种方法,可以有助于更准确地估计直接径流,降雨强度大大变化,特别是在季风区或气候变化的背景下。

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