SCS-CN Method. Part I: Derivation of SCS-CN-Based Models
dc.creator | Mishra, Surendra Kumar | |
dc.creator | Singh, Vijay P. | |
dc.date.accessioned | 2017-10-18T16:46:32Z | |
dc.date.available | 2017-10-18T16:46:32Z | |
dc.date.issued | 2002 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/164640 | |
dc.description.abstract | This part of the paper, in a sequence of two, provides an analytical treatment of the Soil Conservation Service Curve Number (SCS-CN) method including its derivation from a) early rainfall-runoff methods, such as the Mockus and Zoch methods, using the Horton method and b) first (linear)- and second (non-linear)-order hypotheses. After a critical review of the available analytical derivations, SCS-CN based models are proposed for depression, interception storage, and initial abstraction, which form parts of the SCS-CN method. The performance of the existing and modified versions of the SCS-CN method is evaluated using field data. | en |
dc.language.iso | en_US | |
dc.subject | soil conservation service | en |
dc.subject | curve number | en |
dc.subject | rainfall-runoff methods | en |
dc.subject | direct runoff | en |
dc.subject | abstractions | en |
dc.subject | maximum retention | en |
dc.title | SCS-CN Method. Part I: Derivation of SCS-CN-Based Models | en |
dc.type | Article | en |
local.department | Biological and Agricultural Engineering (College of Agriculture and Life Sciences) | en |