UPM Institutional Repository

Prediction of flood levels along a stretch of the Langat River with insufficient hydrological data


Citation

Mohammed, Thamer Ahmed and Al-Hassoun, Saleh A. and Ghazali, Abdul Halim (2011) Prediction of flood levels along a stretch of the Langat River with insufficient hydrological data. Pertanika Journal of Science & Technology, 19 (2). pp. 237-248. ISSN 0128-7680; ESSN: 2231-8526

Abstract

Malaysia is a tropical country and it is subjected to flooding in both the urban and rural areas. Flood modelling can help to reduce the impacts of flood hazard by taking extra precautions. HEC-RAS model was used to predict the flood levels at selected reach of the Langat River with a total length of 34.4 km. The Langat River is located in the state of Selangor, Malaysia and it is subjected to regular flooding. The selected reach of the Langat River has insufficient data and a methodology was proposed to overcome this particular problem. Since complete floodplain data for the area are not available, the modelling therefore assumed vertical walls at the left and right banks of the Langat River and all the predicted flood levels above the banks were based on this assumption. The HEC-RAS model was calibrated and the values of Manning's coefficients of roughness for the Langat River were found to range from 0.04 to 0.10. The discharge values were calculated for 5, 10, 25, 50, and 100 year return periods and the maximum predicted flood depth ranged from 2.1m to 7.8m. Meanwhile, the model output was verified using the historical record and the error between the recorded and predicted water levels was found to range from 3% to 15%.


Download File

[img]
Preview
PDF
#8 Pg 237-248.pdf

Download (2MB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Universiti Putra Malaysia Press
Keywords: Discharge; Flood level; HEC-RAS; Hydraulic modelling; Langat River; Malaysia
Depositing User: Nabilah Mustapa
Date Deposited: 26 Jan 2016 02:51
Last Modified: 26 Jan 2016 02:51
URI: http://psasir.upm.edu.my/id/eprint/32811
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item