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Solving the problem of hydrometeorological data analysis by random process

Dam Ton Duong 1, *
Cuong Kien Dang 2
  1. General Secretary of the Mathematical Society Ho Chi Minh City
  2. University of Information Technology, Vietnam National University, Ho Chi Minh City, Nong Lam University, Ho Chi Minh City
Correspondence to: Dam Ton Duong, General Secretary of the Mathematical Society Ho Chi Minh City. Email: Nghiado@sci.edu.vn.
Volume & Issue: Vol. 20 No. K2 (2017) | Page No.: 101-106 | DOI: 10.32508/stdj.v20iK2.455
Published: 2017-06-30

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

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

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