Evaluation of Flooding in Sg Gita Catchment, Kuching

Authors

  • D.Y.S. Mah aHydro-Environmental Engineering Research & Development (HERD) Cluster, Department of Civil Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak
  • C.P. Hii Jurutera Adda Consulting Engineers, Bangunan USC, No 683, Lorong Song 1A, Off Jalan Song, 93350 Kuching, Sarawak
  • C.Y. Ong Jurutera Adda Consulting Engineers, Bangunan USC, No 683, Lorong Song 1A, Off Jalan Song, 93350 Kuching, Sarawak
  • Y. Pui Jurutera Adda Consulting Engineers, Bangunan USC, No 683, Lorong Song 1A, Off Jalan Song, 93350 Kuching, Sarawak

DOI:

https://doi.org/10.33736/jaspe.372.2017

Keywords:

backwater, InfoWorks RS, river water level, stormwater, urban drainage

Abstract

This paper outlines a methodology of flow routing with inclusion of downstream river water level applied to a Sg Gita urbanized catchment beside Sg Sarawak in Kuching city, Sarawak, Malaysia. Evaluations are done by demonstrating the modelling of flooding scenarios using InfoWorks River Simulation (RS) that stresses on different aspects specific to Sg Gita’s conditions, namely (1) impacts of high and low river water levels, (2) solely urban flooding and (3) the combination of the two. The outcomes indicate that the dynamics of downstream river water level influences the performance of the urban drainage that flowed into the river. Backwater is overriding the flows of urban drains. Therefore, the mentioned methodology is found superior than conventional methodology with only flow routing to represent the flow mechanism of urban catchment bounded by a downstream river.

References

Jenny, K.K., Mah, D.Y.S., Putuhena, F.J., and Said, S. (2007). Post-Flood Forensic Analysis of Maong River Using Infoworks River Simulation (RS). The Journal of Institution of Engineers Malaysia, Vol. 68, No. 4, 41-46.

Said, S., Mah, D.Y.S. Mah, Sumok, P., and Lai, S.H. (2009). Water Quality Monitoring of Maong River, Malaysia. Proceedings of the Institution of Civil Engineers - Water Management, Vol. 162, No. 1, 35-40.

https://doi.org/10.1680/wama.2009.162.1.35

Mah, D.Y.S., Lai, S.H., Chan, R.A., and Putuhena, F.J. (2012). Investigative Modelling of the Flood Bypass Channel in Kuching, Sarawak by Assessing its Impact on the Inundations of Kuching-Batu Kawa-Bau Expressway. Structure and Infrastructure Engineering, Vol. 8, No. 7, 705-714.

https://doi.org/10.1080/15732471003770167

Department of Irrigation and Drainage (DID) Sarawak (2013). Proposed Drainage Improvement Works at Kpg Gita.

Winsemius, H.C., Aerts, J.C., van Beek, L.P., Bierkens, M.F., Bouwman, A., Jongman, B., Kwadijk, J.C., Ligtvoet, W., Lucas, P.L., van Vuuren, D.P., and Ward, P.J. (2016). Global Drivers of Future River Flood Risk. Nature Climate Change, Vol. 6, No. 4, 381-385.

https://doi.org/10.1038/nclimate2893

Sharp, J.J., and Lim, Y.H. (2000). The Sarawak River barrage - Hydrotechnical and Geotechnical Aspects. Proceedings of the Institution of Civil Engineers - Water, Maritime and Energy, Vol. 142, 87-96.

https://doi.org/10.1680/wame.2000.142.2.87

Mukolwe, M.M., Yan, K., Di Baldassarre, G., and Solomatine, D.P. (2015). Testing New Sources of Topographic Data for Flood Propagation Modelling under Structural, Parameter and Observation Uncertainty. Hydrological Sciences Journal, Vol. 61, No. 9, 1707-1715.

https://doi.org/10.1080/02626667.2015.1019507

Department of Irrigation and Drainage (DID) Sarawak (2016). Flood Report for Kuching in February 2016.

Zamudio, J., Haynie, T., Anderson, L., Gasiewski, A., Dai, E., Stachura, M., Elston, J., Stoll, J., Walker, B., Gordon, R., and Wilson, M. (2015). Drones in Geophysics. Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015, pp. 105-112.

https://doi.org/10.4133/SAGEEP.29-022

Jurutera Jasa (1999). Sg Sarawak Flood Mitigation Options Study.

Downloads

Published

2017-04-28

How to Cite

Mah, D., Hii, C., Ong, C., & Pui, Y. (2017). Evaluation of Flooding in Sg Gita Catchment, Kuching. Journal of Applied Science &Amp; Process Engineering, 4(1), 127–141. https://doi.org/10.33736/jaspe.372.2017