Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

A Historical Review of Slope Based SCS Method and its Effect on CN and Runoff Potential Globally

Version 1 : Received: 29 September 2020 / Approved: 15 October 2020 / Online: 15 October 2020 (15:14:05 CEST)

How to cite: Ansari, T.A.; Katpatal, Y.B.; Rishma, C. A Historical Review of Slope Based SCS Method and its Effect on CN and Runoff Potential Globally. Preprints 2020, 2020100024. https://doi.org/10.20944/preprints202010.0024.v1 Ansari, T.A.; Katpatal, Y.B.; Rishma, C. A Historical Review of Slope Based SCS Method and its Effect on CN and Runoff Potential Globally. Preprints 2020, 2020100024. https://doi.org/10.20944/preprints202010.0024.v1

Abstract

The Soil Conservation Service - Curve Number (SCS-CN) method is extensively used to calculate the runoff from rainfall over a large catchment over the world. Slope is an important criterion for runoff but a very few attempts have been made to evaluate the effect of slope on the CN with runoff potential. The objective of this paper is to summarise the historical review on the effects of slope on CN and runoff potential in various regions by the hydrologists. This paper also depicts that how the various researchers proved the importance of consideration of slope for CN and runoff estimation. In addition, paper highlights the key features of research in future like to classify the watersheds on slope based CN, accurate Antecedent Moisture Condition (AMC) and proper initial abstraction in the various regions etc. Considering these parameters an accurate runoff estimation can be predicted and managed properly in the urban watersheds.

Keywords

Slope based SCS Curve Number; Antecedent Moisture Condition; Land Use; Runoff potential; Urban watersheds

Subject

Engineering, Automotive Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.