Application of a modified conceptual rainfall-runoff model to simulation of groundwater level in an undefined watershed

Nian Hong, Takehide Hama, Yuichi Suenaga, Sayed Waliullah Aqili, Xiaowu Huang, Qiaoyan Wei, Yasunori Kawagoshi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Groundwater level simulation models can help ensure the proper management and use of urban and rural water supply. In this paper, we propose a groundwater level tank model (GLTM) based on a conceptual rainfall-runoff model (tank model) to simulate fluctuations in groundwater level. The variables used in the simulations consist of daily rainfall and daily groundwater level, which were recorded between April 2011 and March 2015 at two representative observation wells in Kumamoto City, Japan. We determined the best-fit model parameters by root-mean-square error through use of the Shuffled Complex Evolution-University of Arizona algorithm on a simulated data set. Calibration and validation results were evaluated by their coefficients of determination, Nash-Sutcliffe efficiency coefficients, and root-mean-square error values. The GLTM provided accurate results in both the calibration and validation of fluctuations in groundwater level. The split sample test results indicate a good reliability. These results indicate that this model can provide a simple approach to the accurate simulation of groundwater levels.

Original languageEnglish
Pages (from-to)383-390
Number of pages8
JournalScience of the Total Environment
Volume541
DOIs
StatePublished - 15 Jan 2016
Externally publishedYes

Keywords

  • Groundwater level
  • Kumamoto City
  • Rainfall
  • Tank model

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