Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering

Application of SCS-CN Model in Runoff Estimation

Authors
Dake Wang, Liangqiong Qin, Bao Chang, Mingxing Wang, Weihua Zhang
Corresponding Author
Dake Wang
Available Online November 2015.
DOI
10.2991/ism3e-15.2015.14How to use a DOI?
Abstract

Runoff calculation is an important part of regional runoff forecast and water resources evaluation model. The Soil Conservation Service (SCS) curve number (CN) model developed by the U.S. Department of Agriculture National Resources Conversion Service (NRCS) is the most popular and widely applied model for direct runoff estimation. This article will introduce the basic principles of SCS model, review and summary the application, development and improvement of the model, points out the shortcomings of the existing model. Finally, prospects for the future development of this model are conducted.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-141-4
ISSN
2352-5401
DOI
10.2991/ism3e-15.2015.14How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dake Wang
AU  - Liangqiong Qin
AU  - Bao Chang
AU  - Mingxing Wang
AU  - Weihua Zhang
PY  - 2015/11
DA  - 2015/11
TI  - Application of SCS-CN Model in Runoff Estimation
BT  - Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
PB  - Atlantis Press
SP  - 50
EP  - 54
SN  - 2352-5401
UR  - https://doi.org/10.2991/ism3e-15.2015.14
DO  - 10.2991/ism3e-15.2015.14
ID  - Wang2015/11
ER  -