ANALYSIS EXTREME WEATHER EVENT OF THAILAND WITH SPATIAL MODELING THEORY OF EXTREME VALUES: CASE STUDY IN MEKONG, CHI, MUN RIVER BASIN

In this study, the authors applied extreme value theory (EVT) to investigate an appropriate distribution using Generalized Pareto distribution (GPD) for predicting the chance of the maximum daily rainfall in the north eastern part of Thailand. The results showed that the Generalized Pareto distribution (GPD) was appropriate by examining the goodness of fit test with Kolmogorov-Smirnov Statistics (K-S Test). The estimation of the return level in the return period of 2, 5, 10, and 50 years demonstrated that the highest risk area of the maximum daily rainfall happened was Nakhon Phanom Province. The result of this study is also the information for determining the response plan in the risk area. Moreover, it also is a guideline for the disaster prevention and mitigation plan and water management to deal with the flood in the north eastern part of Thailand.