Evaluation of rain gauge network using entropy theory: Comparison of mixed and continuous distribution function applications

Chulsang Yoo, Kwangsik Jung, Jaeeung Lee

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

In this study we compared applications of mixed and continuous distribution functions to the theory of entropy for the evaluation of rain gauge networks. The use of a mixed distribution function to evaluate rain gauge networks has an important advantage of considering rainfall intermittency in both time and space. Parameters of both mixed and continuous distribution functions were estimated using the daily rainfall data collected in the Choongju Dam Basin, Korea. The optimal number of rain gauge stations is, then, decided by using the entropy theory. The optimal number of rain gauge stations estimated by applying the mixed distribution function was found to be much smaller, but still reasonable, than that estimated by applying the continuous distribution function; mostly due to the small wet probability and the high coincidence of daily rainfall between rain gauge stations.

Original languageEnglish
Pages (from-to)226-235
Number of pages10
JournalJournal of Hydrologic Engineering
Volume13
Issue number4
DOIs
Publication statusPublished - 2008 Apr

Keywords

  • Distribution functions
  • Entropy
  • Rainfall

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Evaluation of rain gauge network using entropy theory: Comparison of mixed and continuous distribution function applications'. Together they form a unique fingerprint.

Cite this