Nonparametric approach for bivariate drought characterization using palmer drought index

Tae Woong Kim, Juan B Valdes, Chulsang Yoo

Research output: Contribution to journalArticle

38 Scopus citations

Abstract

A drought is usually represented by duration and severity, and may last several months or years. Multidimensional characteristics of a drought make univariate analysis unable to reveal the significant relationship among drought properties. Furthermore, historical records tend to be too short to fully evaluate drought characteristics. A practical method was proposed in this study to estimate the bivariate return period of droughts based on the use of synthetic data to overcome the above considerations. The bivariate return period of droughts is dependent on the drought interarrival time and the joint distribution of drought properties. A nonparametric method was employed in this study to estimate the joint distribution of drought properties. The historical droughts in the Conchos River Basin, Mexico were evaluated based on their return period estimated by the proposed method. The proposed method allowed a better understanding of the joint probabilistic behavior of droughts beyond the limitation of the univariate/parametric frequency analysis.

Original languageEnglish (US)
Pages (from-to)134-143
Number of pages10
JournalJournal of Hydrologic Engineering
Volume11
Issue number2
DOIs
Publication statusPublished - Mar 2006

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Keywords

  • Droughts
  • Frequency analysis
  • Water shortage

ASJC Scopus subject areas

  • Environmental Science(all)
  • Environmental Chemistry
  • Water Science and Technology
  • Civil and Structural Engineering

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