Comparison of groundwater age models for assessing nitrate loading, transport pathways, and management options in a complex aquifer system
Hydrological Processes
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Abstract
In an aquifer system with complex hydrogeology, mixing of groundwater with different ages could occur associated with various flow pathways. In this study, we applied different groundwater age estimation techniques (lumped parameter model, and numerical model) to characterize groundwater age distributions and the major pathways of nitrate contamination in the Gosan agricultural field, Jeju Island. According to the lumped parameter model, groundwater age in the study area could be explained by the binary mixing of the young groundwater (4-33 years) and the old water component (>60 years). The complex hydrogeologic regimes and local heterogeneity observed in the study area (multi-layered aquifer, well leakage hydraulics) were particularly well reflected in the numerical model. The numerical model predicted that the regional aquifer of Gosan responded to the fertilizer applications more rapidly (mean age: 9.7-22.3 years) than as estimated by other models. Our study results demonstrated that application and comparison of multiple age estimation methods can be useful to understand better the flow regimes and the mixing characteristics of groundwater with different ages (pathways), hence, to reduce the risk of improper groundwater management plan arising from the aquifer heterogeneity.
Suggested Citation
Koh, E., Lee, E., Kaown, D., Green, C., Koh, D., Lee, K., and Lee, S., 2019, Comparison of groundwater age models for assessing nitrate loading, transport pathways, and management options in a complex aquifer system: Hydrological Processes, v. 32, p. 923-938, https://doi.org/10.1002/hyp.11465.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Comparison of groundwater age models for assessing nitrate loading, transport pathways, and management options in a complex aquifer system |
| Series title | Hydrological Processes |
| DOI | 10.1002/hyp.11465 |
| Volume | 32 |
| Publication Date | March 26, 2018 |
| Year Published | 2019 |
| Language | English |
| Publisher | Wiley |
| Contributing office(s) | WMA - Integrated Modeling and Prediction Division |
| Description | 16 p. |
| First page | 923 |
| Last page | 938 |
| Country | South Korea |
| Other Geospatial | Jeju Island |