Flood Risk Assessment Using Extreme Value Copulas in Khong Watershed Northeastern, Thailand

• Published in: Lobachevskii journal of mathematics Vol. 45; no. 12; pp. 6286 - 6295
• Main Authors: Chomphuwiset, Prapawan, Phoophiwfa, Tossapol, Prahadchai, Thanawan, Busababodhin, Piyapatr
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.12.2024; Springer Nature B.V
• Subjects: Algebra; Analysis; Bivariate analysis; Correlation coefficients; Extreme values; Flood control; Flood management; Geometry; Likelihood ratio; Mathematical Logic and Foundations; Mathematics; Mathematics and Statistics; Performance evaluation; Probability Theory and Stochastic Processes; Rainfall; Risk analysis; Watersheds; Thailand; bivariate generalized extreme value distribution; mean residual life plot; drought; return period; peak over threshold; Kendall tau; bivariate generalized Pareto distribution; extreme value copulas; 2010 Mathematics Subject Classification: 62H05, 62G32, 60G70

Floods are one of the most frequent causes of damage to agricultural products. In this research, we analyzed employing bivariate approaches on weekly moving cumulative rainfall (WMCR) data from 1990 to 2023 in Khong Watershed Northeastern, Thailand. The analysis was based on nine extreme value copul...