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

Curve number Hydrology Modeling Surface runoff estimation

Journal

Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072

Informations de publication

Date de publication:
15 Jun 2020
Historique:
received: 22 09 2019
revised: 02 03 2020
accepted: 28 03 2020
pubmed: 14 4 2020
medline: 6 5 2020
entrez: 14 4 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32283435
pii: S0043-1354(20)30304-3
doi: 10.1016/j.watres.2020.115767
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

115767

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Huishu 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, Shenzhen, Guangdong, 518055, China.

Haw Yen (H)

Blackland Research and Extension Center, Texas A&M Agrilife Research, Texas A&M University, Temple, TX, 76502, USA.

Jr-Chuan Huang (JC)

Department of Geography, National Taiwan University, Taipei, 10617, Taiwan.

Qingyu Feng (Q)

Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.

Lihuan 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.

Muhammad Amjad 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.

Shuxia 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.

A-Xing 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.

Jiafa Luo (J)

AgResearch Limited, Ruakura Research Centre, Hamilton, 3240, New Zealand.

Hongjie Di (H)

Centre for Soil and Environmental Research, Lincoln University, Lincoln, Christchurch, 7647, New Zealand.

Qiuliang 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.

Hongbin 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.

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