Flood modeling of Sungai Pinang Watershed under the impact of urbanization

Osman, Sazali; Chen, Lingfang; Mohammad, Abdul Hafiz; Xing, Lixue; Chen, Yangbo

doi:10.1016/j.tcrr.2021.06.001

Cited by 7 publications

(1 citation statement)

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“…The land subsidence would increase 2.0% and 5.9% of the flood inundated area, based on the sea level rise projections. Osman et al, (2021) stated that in this region, flooding and urban waterlogging issue are frequently observed due to climate changes and urbanization development. Othman et al, (2021) reported that due to climate change, rainfall in northern region of Peninsular Malaysia, including Penang, has increased since last decades.…”

Section: Introductionmentioning

confidence: 99%

Statistical Downscaling of Regional Climate Model: A Case Study in Penang Island, Malaysia

2022

Global NEST: The International Journal

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<p>Flooding events are the most devastating natural disasters that Malaysia had experienced these recent years. It has become a challenge for the government and society to mitigate the flood events that occurs naturally, especially when climate change had worsened the situation. This study focuses on changes of rainfall, maximum and minimum temperature in Penang. With the fast growth rate of resident population and its economic status, obtaining the suitable and viable future climate scenario is crucial and significant to enhancing the flood forecasting capabilities in the Penang Island. The dataset obtained from CanESM2 GCM was used to generate the regionalized rainfall and temperature data based on Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment report (AR5) Representative Concentration Pathways (RCPs) of 4.5 and 8.5 W/m2 emission scenario. The downscaling period (2005–2100) for maximum temperature (Tmax) and minimum temperature (Tmin) and rainfall time were developed using the statistical downscaling technique. For reliability analysis, the model outputs were analysed with Probability Density Function (PDF), Linear Regression and Pearson Correction Test. Based on the reliability analysis outcomes, the possible causes for acknowledging that the Penang Island could follow the high emission scenario RCP 8.5. This indicates that the average monthly rainfall and temperature of Penang Island may increase consequential of the regional climate change, resulting from an increasing population, the industrial development and ever-escalating transportation needs.</p>

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Section: Introductionmentioning

confidence: 99%