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CN-China: Revised runoff curve number by using rainfall-runoff events data in China.
Lian, Huishu; Yen, Haw; Huang, Jr-Chuan; Feng, Qingyu; Qin, Lihuan; Bashir, Muhammad Amjad; Wu, Shuxia; Zhu, A-Xing; Luo, Jiafa; Di, Hongjie; Lei, Qiuliang; Liu, Hongbin.
Afiliação
  • Lian H; Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 10081, China; School of Environmental Science and Engineering, Southern University of Science and Technology, Sh
  • Yen H; Blackland Research and Extension Center, Texas A&M Agrilife Research, Texas A&M University, Temple, TX, 76502, USA.
  • Huang JC; Department of Geography, National Taiwan University, Taipei, 10617, Taiwan.
  • Feng Q; Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
  • Qin L; Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 10081, China.
  • Bashir MA; Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 10081, China.
  • Wu S; Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 10081, China.
  • Zhu AX; Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing, 210023, China; Department of Geography, University of Wisconsin-Madison, Madison, WI, 53706, USA.
  • Luo J; AgResearch Limited, Ruakura Research Centre, Hamilton, 3240, New Zealand.
  • Di H; Centre for Soil and Environmental Research, Lincoln University, Lincoln, Christchurch, 7647, New Zealand.
  • Lei Q; Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 10081, China. Electronic address: leiqiuliang@caas.cn.
  • Liu H; Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 10081, China. Electronic address: liuhongbin@caas.cn.
Water Res ; 177: 115767, 2020 Jun 15.
Article em En | MEDLINE | ID: mdl-32283435
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Chuva / Movimentos da Água Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Water Res Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Chuva / Movimentos da Água Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Water Res Ano de publicação: 2020 Tipo de documento: Article