Literature DB >> 32283435

CN-China: Revised runoff curve number by using rainfall-runoff events data in China.

Huishu Lian1, Haw Yen2, Jr-Chuan Huang3, Qingyu Feng4, Lihuan Qin5, Muhammad Amjad Bashir5, Shuxia Wu5, A-Xing Zhu6, Jiafa Luo7, Hongjie Di8, Qiuliang Lei9, Hongbin Liu10.   

Abstract

The curve number (CN) method developed by the United States Department of Agriculture (USDA) in 1954 is the most common adopted method to estimate surface runoff. For years, applicability of the CN method is a conundrum when implementing to other countries. Specifically, countries with more complex natural environment may require more dedicated adjustments. Therefore, the current CN look-up table provided by USDA might not be appropriate and could be questionable to be applied directly to regions elsewhere. Some studies have been conducted to modify CN values according to specified natural characteristics in scattered regions of mainland China. However, an integral and representative work is still not available to address potential concerns in general matters. In this study, a large set of rainfall-runoff monitoring data were collected to adjust CN values in 55 study sites across China. The results showed that the revised CN values are largely different from CN look-up table provided by USDA, which would lead to huge errors in runoff estimation. In this study, the revised CN (dubbed CN-China) provides better reference guidelines that are suitable for most natural conditions in China. In addition, scientists and engineers from other parts of the world can take advantage of the proposed work to enhance the quality of future programs related to surface runoff estimation.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  Curve number; Hydrology; Modeling; Surface runoff estimation

Year:  2020        PMID: 32283435     DOI: 10.1016/j.watres.2020.115767

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  2 in total

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Authors:  Douglas Patton; Deron Smith; Muluken E Muche; Kurt Wolfe; Rajbir Parmar; John M Johnston
Journal:  Environ Model Softw       Date:  2022-03-01       Impact factor: 5.288

2.  Determination of field capacity in the Chibunga and Guano rivers micro-basins.

Authors:  Benito Mendoza; Manuel Fiallos; Sandra Iturralde; Patricio Santillán; Nelly Guananga; Jaime Bejar; Daniel A Lowy; Imre Vágó; Zsolt Sándor
Journal:  F1000Res       Date:  2021-03-03
  2 in total

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