Flood Management Using Data Driver Index: A Case Study in Kelantan, Malaysia

Abstract

The deterioration of nature's quality is among the contributing factors to environmental disasters arises from human attitude, which greedily developed the necessities of life without evaluating the risk of environmental damage including natural disasters such as floods. This will be more serious and life-threatening due to the changing surface and sub-surface of soil structure by human activities. This has caused the rain balance and running water to be disrupted. The river basins that are experiencing the rapid development such as in Kelantan, Terengganu, Pahang and Johor, will serious face environmental problems. Hence, the aim of this study is to identify the level of flood disaster management preparation in Kelantan state, December 2014. It involves three levels of preparation which are before, during and after at eight districts in Kelantan. According to Kelantan Strategic Research Centre, large flood events are due to the overflow of the Kelantan River which is the main source for the population around the river basin. The flood events have recorded the value of public utilities and property losses of almost 1 Billion Malaysian ringgit. This research used group sampling as the survey method, where the questionnaire was distributed to 434 respondents who were involved in the flood. The data analysis method uses principal component analysis (PCA) to determine the index value (MOF =.). The results of the analysis show that the highest indices of the pre flood recovery index is Mukim Melor, 1.11 while the lowest are Manek Urai and Ghucil, -0.62. The preparation during the Kadok flood is recorded as the highest at 0.96 and Ghucil the lowest, -0.80. While the post floods in Bunut Payung and Pasir Tumboh are recorded as 0.96 and -0.50 respectively. Hence, the documentation of flood management systems should be reconstructed at multi-tiered phases to minimize the management risk of natural disasters.