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Using fuzzy approach to build a continuous relationship between SCS curve number and soil properties

Li, Runkui ; Song, Xianfeng ; Duan, Zheng LU and Peng, Ming (2011) 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 In Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
Abstract

The commonly used Soil Conservation Service Curve Number (SCS-CN) for surface runoff modeling is largely dependent on the Hydrologic Soil Groups (HSGs) which are derived through aggregation of all soil types into four hydrologic groups. The derived CN largely mutes away original soil attribute details. A fuzzy approach refining CN according to soil hydrologic properties was developed to preserve difference of CN between different soil types. The proposed approach generally involves three steps: 1) definition of the typical values of soil attributes for each HSG; 2) calculation of the fuzzy membership of a given soil type to each HSG; and 3) calculation of CN for a given soil. Results from a small watershed show that CN from the proposed... (More)

The commonly used Soil Conservation Service Curve Number (SCS-CN) for surface runoff modeling is largely dependent on the Hydrologic Soil Groups (HSGs) which are derived through aggregation of all soil types into four hydrologic groups. The derived CN largely mutes away original soil attribute details. A fuzzy approach refining CN according to soil hydrologic properties was developed to preserve difference of CN between different soil types. The proposed approach generally involves three steps: 1) definition of the typical values of soil attributes for each HSG; 2) calculation of the fuzzy membership of a given soil type to each HSG; and 3) calculation of CN for a given soil. Results from a small watershed show that CN from the proposed method effectively retains detailed soil information. The detailed CN derived by the new approach provides possibility for improving distributed hydrologic modeling for many commonly used hydrologic models.

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author
; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
distributed hydrological modeling, fuzzy memberships, Hydrologic Soil Groups, SCS Curve Number
host publication
Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
series title
Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
article number
5980785
conference name
2011 19th International Conference on Geoinformatics, Geoinformatics 2011
conference location
Shanghai, China
conference dates
2011-06-24 - 2011-06-26
external identifiers
  • scopus:80052380972
ISBN
9781612848488
DOI
10.1109/GeoInformatics.2011.5980785
language
English
LU publication?
no
id
bdea1828-9da2-4c67-b7d9-d3c08da295bc
date added to LUP
2019-12-22 20:38:24
date last changed
2022-02-01 02:42:43
@inproceedings{bdea1828-9da2-4c67-b7d9-d3c08da295bc,
  abstract     = {{<p>The commonly used Soil Conservation Service Curve Number (SCS-CN) for surface runoff modeling is largely dependent on the Hydrologic Soil Groups (HSGs) which are derived through aggregation of all soil types into four hydrologic groups. The derived CN largely mutes away original soil attribute details. A fuzzy approach refining CN according to soil hydrologic properties was developed to preserve difference of CN between different soil types. The proposed approach generally involves three steps: 1) definition of the typical values of soil attributes for each HSG; 2) calculation of the fuzzy membership of a given soil type to each HSG; and 3) calculation of CN for a given soil. Results from a small watershed show that CN from the proposed method effectively retains detailed soil information. The detailed CN derived by the new approach provides possibility for improving distributed hydrologic modeling for many commonly used hydrologic models.</p>}},
  author       = {{Li, Runkui and Song, Xianfeng and Duan, Zheng and Peng, Ming}},
  booktitle    = {{Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011}},
  isbn         = {{9781612848488}},
  keywords     = {{distributed hydrological modeling; fuzzy memberships; Hydrologic Soil Groups; SCS Curve Number}},
  language     = {{eng}},
  month        = {{09}},
  series       = {{Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011}},
  title        = {{Using fuzzy approach to build a continuous relationship between SCS curve number and soil properties}},
  url          = {{http://dx.doi.org/10.1109/GeoInformatics.2011.5980785}},
  doi          = {{10.1109/GeoInformatics.2011.5980785}},
  year         = {{2011}},
}