RAINFALL RUN OFF MODELLING OF SUNGAI PAHANG BY USING HEC HMS

Authors:

Munira Mohammad,Nor Faiza Abd Rahman,Low Yik Han,Mohamad Shakri Mohmad Shariff,

DOI NO:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00017

Keywords:

HEC HMS,rainfall runoff relationship,Sungai Pahang River ,

Abstract

Flash flood happens when the drainage or river could not cope with the sudden increase in rainfall volume. In Malaysia, flash flood often occurs in the developed cities such as Kuala Lumpur and Kuantan. Water yield or reservoir storage is the collection and storing of water during high-water period and to be used during low-water period. It preserves the excess water where or else it will result in water wastage and potentially cause a flood disaster to happen. The capacity of the water yield has to be sufficiently large to sustain the amount of increasing rain water without overflowing. The study aims to investigate the rainfall runoff relationship of Sungai Pahang River. Study period of this hydrological modelling was selected from year January 2013 to December 2017. The hydrological modelling using HEC-HMS of Sungai Pahang resulted with a correlation of 0.65 and Nash-Sutcliffe coefficient of 0.41. Clark unit hydrograph in transform method and recession constant in baseflow method have great impact on the simulation result.

Refference:

I. Ab. Ghani, A., Chang, C. K., Leow, C. S., & Zakaria, N. A. (2012). Sungai Pahang digital flood mapping: 2007 flood. International Journal of River Basin Management, 10(2), 139–148. https://doi.org/10.1080/15715124.2012.680022
II. Aminuddin AB. G., A., Chang, C. K., Leow, C. S., & Zakaria, N. A. (2012). Sungai Pahang digital flood mapping: 2007 flood. International Journal of River Basin Management, 10(2), 139–148.
III. Azam, M.; San Kim, H.; Maeng, S.J. Development of flood alert application in Mushim stream watershed Korea. Int. J.Disast. Risk Re. 2017, 21, 11-26.
IV. Banitt, A. Simulating a century of hydrographs e Mark Twain reservoir. In Proceeding of 2nd Joint Federal Interagency Conference, Las Vegas, NV, USA, 27 June–1 July, 2010
V. Department of Irrigation and Drainage (DID) (2009). Retrieved from https://www.water.gov.my/#?mid=209
VI. Environmental and Water Resources Instit. Curve number hydrology: State of the practice. Hawkins, R.H., Ward, T.J., Woodward, D.E., Van Mullem, J.A., Eds; American Society of Civil Engineers: Reston, VA, USA, 2009.
VII. Gupta, H.V.; Kling, H.; Yilmaz, K.K.,; Martinez, G.F. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling. J. Hydrol.2009, 377, 80–91.
VIII. Hamby, D. A review of techniques for parameter sensitivity analysis of environmental models. Environ. Monit. Assess. 1994, 32, 135–154.
IX. Kirpich, Z. Time of concentration of small agricultural watersheds. Civil Engineer.1940, 10, 362.
X. Nash, J.E.; Sutcliffe, J.V. River flow forecasting through conceptual models part I—A discussion of principles. J. Hydrol.1970, 10, 282–290.
XI. Neter, J.; Wasserman, W.; Kutner, M.H. Applied statistical models. Richard D. Irwin, Inc.: Burr Ridge, IL, 1990.
XII. Suhaila, J., S. MohdDeni, W.Z. Wan Zin& A.A., Jemain. (2010). Trends in Peninsular Malaysia Rainfall Data during The Southwest Monsoon and Northeast Monsoon Seasons: 1975-2004. SainsMalaysiana, 39:533-542.
XIII. Yilma, H.M.; Moges, S.A. Application of semi-distributed conceptual hydrological model for flow forecasting on upland catchments of Blue Nile River Basin, a case study of GilgelAbbay catchment. Catchment Lake Res. 2007, 6, 1–200.
XIV. Yusop, Z.; Chan,C.; Katimon, A. Runoff characteristics and application of HEC-HMS for modeling stormflow hydrograph in an oil palm catchment. Water Sci. Technol. 2007, 56, 41–48.

View | Download