Solving the problem of hydrometeorological data analysis by random process

Abstract

The paper reviews the hydrometeorological data analysis (precipitation, flow, water level, etc.) to evaluate and predict mutations such as flood, drought and saline extremes to reduce the impact of climate change on the economy and life. The main method for solving the problem posed is the max-domain of attraction of extreme distributions with the Gumbel copula of random variables related to hydrometeorological data. Results presented in this paper are reviewed and verified through data supplied by hydrometeorological stations at the Tan Chau and Chau Doc districts, An Giang province from 1990 to present