UPSI Digital Repository (UDRep)
Start | FAQ | About

QR Code Link :

Type :article
ISSN :1866-7511
Main Author :Zullyadini A. Rahaman
Title :Runoff coefficient (C value) evaluation and generation using rainfall simulator: a case study in urban areas in Penang, Malaysia
Place of Production :Tanjung Malim
Publisher :Fakulti Sains Kemanusiaan
Year of Publication :2021
Notes :Arabian Journal of Geosciences
Corporate Name :Universiti Pendidikan Sultan Idris
Web Link :Click to view web link

Abstract : Universiti Pendidikan Sultan Idris
The different peak discharge value estimated in the rational method (RM) model is caused by the various methods used to determine the runoff coefficient (C) parameter. The C value can be defined as the total amount of rainfall generated to become the runoff. Various studies have been conducted to produce C values that differ from one to another. For example, the C values suggested by the Manual of Storm Water Management (MSMA) and the American Society of Civil Engineers (ASCE) differed. To estimate C values, land use classification is confusing, unorganized, and not uniform, and therefore, the application of suggested C value is still doubtful to be applied in Malaysia. Thus, this research focused on estimating the C value based on the land use classification for urban areas in Penang using a rainfall simulator. The runoff coefficient will be generated from various surface types at a plot scale representing urban land use. The result obtained shows that the C values were 0.79?0.89 (asphalt), 0.85?0.92 (concrete), 0.77?0.89 (zinc), 0.73?0.85 (brick), 0.85?0.96 (asbestos), 0.8?0.93 (tiled roof), 0.17?0.63 (grass 2�?7�), and 0.35?0.69 (bare soil 2�?7�). The variation of the C value was influenced by the total amount of rainfall, surface imperviousness, soil moisture, soil and surface characteristics, slope, and vegetation cover. There were significant differences in the C value obtained in this study compared to the C value of MSMA (asphalt and brick) and the C value of ASCE (concrete and asbestos, grass, and exposed soil). Four factors that influenced the differences of C values in this research were environmental conditions, namely scale, surface physical condition, and soil antecedent moisture. The multiple comparison test showed a significant difference in the peak discharge estimated using RM compared to the gauged peak discharge. Nevertheless, peak discharge estimated from various C values in the RM did not show any statistical differences. In conclusion, this study found that the rainfall simulator could be used as a suitable and efficient modus operandi in terms of cost and time for runoff studies. ? 2021, Saudi Society for Geosciences.
This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials.
You may use the digitized material for private study, scholarship, or research.

Back to previous page

Installed and configured by Bahagian Automasi, Perpustakaan Tuanku Bainun, Universiti Pendidikan Sultan Idris
If you have enquiries with this repository, kindly contact us at or Whatsapp +60163630263 (Office hours only)