A correlation analysis between state variables of rainfall-runoff model and hydrometeorological variables

Eunjeung Shim, Sumiya Uranchimeg, Yearin Lee, Young Il Moon, Joo Heon Lee, Hyun Han Kwon

Research output: Contribution to journalArticlepeer-review


For the efficient use and management of water resources, a reliable rainfall-runoff analysis is necessary. Still, continuous hydrological data and rainfall-runoff data are insufficient to secure through measurements and models. In particular, as part of the reasonable improvement of a rainfall-runoff model in the case of an ungauged watershed, regionalization is being used to transfer the parameters necessary for the model application to the ungauged watershed. In this study, the GR4J model was selected, and the SCEM-UA method was used to optimize parameters. The rainfall-runoff model for the analysis of the correlation between watershed characteristics and parameters obtained through the model was regionalized by the Copula function, and rainfall-runoff analysis with the regionalized parameters was performed on the ungauged watershed. In the process, the intermediate state variables of the rainfall-runoff model were extracted, and the correlation analysis between water level and the ground water level was investigated. Furthermore, in the process of rainfall-runoff analysis, the Standardized State variable Drought Index (SSDI) was calculated by calculating and indexing the state variables of the GR4J model. and the calculated SSDI was compared with the standardized Precipitation index (SPI), and the hydrological suitability evaluation of the drought index was performed to confirm the possibility of drought monitoring and application in the ungauged watershed.

Original languageEnglish
Pages (from-to)1295-1304
Number of pages10
JournalJournal of Korea Water Resources Association
Issue number12
StatePublished - Dec 2021


  • Drought index
  • Parameter optimization
  • Rainfall-runoff model
  • Regionalization
  • State variables


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