TY - JOUR
T1 - A method of estimating sequential average unsaturated zone travel times from precipitation and water table level time series data
AU - Jeong, Jina
AU - Park, Eungyu
AU - Han, Weon Shik
AU - Kim, Kue Young
AU - Oh, Junho
AU - Ha, Kyoochul
AU - Yoon, Heesung
AU - Yun, Seong Taek
N1 - 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).
PY - 2017/11
Y1 - 2017/11
N2 - 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.
AB - 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.
KW - Cross-correlogram
KW - Delayed gravitational flow
KW - Unsaturated zone
KW - Unsaturated zone travel time
KW - Water table fluctuation
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U2 - 10.1016/j.jhydrol.2017.09.042
DO - 10.1016/j.jhydrol.2017.09.042
M3 - Article
AN - SCOPUS:85030093573
VL - 554
SP - 570
EP - 581
JO - Journal of Hydrology
JF - Journal of Hydrology
SN - 0022-1694
ER -