Quantifying Excess Stormwater Using SCS-CN–Based Rainfall Runoff Models and Different Curve Number Determination Methods-Reference-Cited by-同舟云学术

Quantifying Excess Stormwater Using SCS-CN–Based Rainfall Runoff Models and Different Curve Number Determination Methods

Published:2015-03 Issue:3 Volume:141 Page:04014058
ISSN:0733-9437
Container-title:Journal of Irrigation and Drainage Engineering
language:en
Short-container-title:J. Irrig. Drain Eng.

Author:

Ajmal Muhammad¹,Kim Tae-Woong²

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Hanyang Univ., Seoul 133-791, Republic of Korea; and Lecturer, Dept. of Agricultural Engineering, Univ. of Engineering and Technology, Peshawar 25120, Pakistan.

2. Associate Professor, Dept. of Civil and Environmental Engineering, Hanyang Univ., Ansan 426-791, Republic of Korea (corresponding author). E-mail: twkim72@hanyang.ac.kr

Publisher

American Society of Civil Engineers (ASCE)

Subject

Agricultural and Biological Sciences (miscellaneous),Water Science and Technology,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IR.1943-4774.0000805

Reference42 articles.

1. Technical Note: Determination of the SCS initial abstraction ratio in an experimental watershed in Greece

2. Improving Curve Number Based Storm Runoff Estimates Using Soil Moisture Proxies

3. Cazier D. J. and Hawkins R. H. (1984). “Regional application of the curve number method. Water today and tomorrow.” Proc. ASCE Irrigation and Drainage Division Special Conf. ASCE New York 710.

4. Empirical Investigation of Curve Number Method Parameters in the Mediterranean Area

5. Runoff estimation in steep slope watershed with standard and slope-adjusted curve number methods;Ebrahimian M.;Pol. J. Environ. Stud.,2012

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