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

dc.contributor.authorLian, H
dc.contributor.authorYen, H
dc.contributor.authorHuang, JC
dc.contributor.authorFeng, Q
dc.contributor.authorQin, L
dc.contributor.authorBashir, MA
dc.contributor.authorWu, S
dc.contributor.authorZhu, AX
dc.contributor.authorLuo, Jiafa,
dc.contributor.authorDi, Hong
dc.contributor.authorLei, Q
dc.contributor.authorLiu, H
dc.coverage.spatialEngland
dc.date.accessioned2020-05-08T03:16:11Z
dc.date.available2020-04-02
dc.date.issued2020-06-15
dc.date.submitted2020-03-28
dc.description.abstractThe 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.
dc.format.extent9 pages
dc.format.mediumPrint-Electronic
dc.identifierS0043-1354(20)30304-3
dc.identifierhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod&SrcAuth=WosAPI&KeyUT=WOS:000530241100008&DestLinkType=FullRecord&DestApp=WOS_CPL
dc.identifier.doi10.1016/j.watres.2020.115767
dc.identifier.eissn1879-2448
dc.identifier.issn0043-1354
dc.identifier.other32283435 (pubmed)
dc.identifier.urihttps://hdl.handle.net/10182/11844
dc.languageen
dc.language.isoen
dc.publisherElsevier
dc.relationThe original publication is available from Elsevier - https://doi.org/10.1016/j.watres.2020.115767 - http://dx.doi.org/10.1016/j.watres.2020.115767
dc.relation.isPartOfWater Research
dc.relation.urihttps://doi.org/10.1016/j.watres.2020.115767
dc.rights© 2020 Elsevier Ltd. All rights reserved
dc.subjecthydrology
dc.subjectcurve number
dc.subjectsurface runoff estimation
dc.subjectmodeling
dc.subject.anzsrcANZSRC::040603 Hydrogeology
dc.subject.anzsrcANZSRC::0701 Agriculture, Land and Farm Management
dc.subject.meshRain
dc.subject.meshWater Movements
dc.subject.meshEnvironmental Monitoring
dc.subject.meshChina
dc.titleCN-China: Revised runoff curve number by using rainfall-runoff events data in China
dc.typeJournal Article
lu.contributor.unitLU
lu.contributor.unitLU|Agriculture and Life Sciences
lu.contributor.unitLU|Agriculture and Life Sciences|SOILS
lu.contributor.unitLU|Research Management Office
lu.contributor.unitLU|Research Management Office|OLD QE18
lu.identifier.orcid0000-0002-6966-0299
pubs.notesArticle ID 115767
pubs.publication-statusPublished
pubs.publisher-urlhttp://dx.doi.org/10.1016/j.watres.2020.115767
pubs.volume177
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