Improved SMA-based SCS-CN method incorporating storm duration for runoff prediction on the Loess Plateau, China,Hydrology Research

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Improved SMA-based SCS-CN method incorporating storm duration for runoff prediction on the Loess Plateau, China
Hydrology Research ( IF 2.6 ) Pub Date : 2020-03-17 , DOI: 10.2166/nh.2020.140
Wenhai Shi ₁ , Ni Wang ₁

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In the Soil Conservation Service Curve Number (SCS-CN) method for estimating runoff, three antecedent moisture condition (AMC) levels produce a discrete relation between the curve number (CN) and soil water content, which results in corresponding sudden jumps in estimated runoff. An improved soil moisture accounting (SMA)-based SCS-CN method that incorporates a continuous function for the AMC was developed to obviate sudden jumps in estimated runoff. However, this method ignores the effect of storm duration on surface runoff, yet this is an important component of rainfall-runoff processes. In this study, the SMA-based method for runoff estimation was modified by incorporating storm duration and a revised SMA procedure. Then, the performance of the proposed method was compared to both the original SCS-CN and SMA-based methods by applying them in three experimental watersheds located on the Loess Plateau, China. The results indicate that the SCS-CN method underestimates large runoff events and overestimates small runoff events, yielding an efficiency of 0.626 in calibration and 0.051 in validation; the SMA-based method has improved runoff estimation in both calibration (efficiency1⁄4 0.702) and validation (efficiency1⁄4 0.481). However, the proposed method performed significantly better than both, yielding model efficiencies of 0.810 and 0.779 in calibration and validation, respectively. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY-NC-ND 4.0), which permits copying and redistribution for non-commercial purposes with no derivatives, provided the original work is properly cited (http://creativecommons.org/ licenses/by-nc-nd/4.0/). doi: 10.2166/nh.2020.140 ://iwaponline.com/hr/article-pdf/51/3/443/698119/nh0510443.pdf Wenhai Shi (corresponding author) Ni Wang School of Water and Environment, Chang’an University, Xi’an, China and Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, Xi’an, China E-mail: shiwenhai2015@163.com

更新日期：2020-03-17

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