A method of estimating sequential average unsaturated zone travel times from precipitation and water table level time series data

Jina Jeong, Eungyu Park, Weon Shik Han, Kue Young Kim, Junho Oh, Kyoochul Ha, Heesung Yoon, Seong Taek Yun

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A method to estimate sequential average unsaturated zone travel time with high temporal resolution has been developed. The method is built upon the conventional cross-correlogram analysis, while the estimation errors are significantly reduced by the proposed schemes. In addition, an analytical relationship between the estimated travel time and the corresponding parameter of a physically-based water table (WT) fluctuation model has been newly established. For validation, applications were performed using WT and precipitation data from two locations with contrasting properties. The method was found to derive distinct characteristics in the estimated travel time, which reflect the unsaturated hydraulics by estimating large means and variations in travel times for low permeability unsaturated zones; whereas, the values are typically small for highly permeable unsaturated zones. The overall results suggest that the proposed method can be potentially adopted to complement other methods in the assessment of groundwater vulnerability to surface contaminants and the hydraulic characterizations of unsaturated zones.

Original languageEnglish
Pages (from-to)570-581
Number of pages12
JournalJournal of Hydrology
Volume554
DOIs
Publication statusPublished - 2017 Nov

Bibliographical note

Funding Information:
The associated software and sample data used in this study (groundwater monitoring and precipitation data) are available upon request from the corresponding author at egpark@knu.ac.kr. Financial support for this study was provided by Korea Environmental Industry and Technology Institute (KEITI) (project title: Environmental Management of Geologic CO 2 Storage, project 2014001810004).

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

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