Causality analysis of the groundwater response in a delta plain of the lower Nakdong River, Republic of Korea View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-07-29

AUTHORS

Hang-tak Jeon, Enuhyung Lee, Sanghyun Kim

ABSTRACT

The salinity of groundwater in an estuarine delta plain is sometimes related to the presence of an estuarine dam. To understand groundwater processes and salinity variation, time series data on the river water level, groundwater level, and groundwater electrical conductivity were collected for the Nakdong River in southeastern Republic of Korea. Sampling was undertaken upstream of the estuarine barrage system, which is opened and closed depending on upstream flow and seawater level. Comprehensive correlation analysis was performed between the groundwater and river water levels using bubble plots between groundwater electrical conductivity and the hydrological variables. Comparative analysis between the correlations and the field measurements of the hydrological variables indicated a negligible flux connection between the river and groundwater. Oscillatory pressure wave propagation from the river boundary explains the response patterns of the groundwater level. There were different response times for the rising and falling of the river water. Electrical conductivity in groundwater is not directly associated with that of the river except in one well close to the river boundary. The response patterns of groundwater electrical conductivity were explained by potential anthropogenic activity. Further transfer modeling results also indicate a spatial explanatory response pattern for the groundwater level. No spatial patterns in the models of electrical conductivity indicate that the hydrological processes are different with respect to the groundwater level and electrical conductivity. More... »

PAGES

1-17

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10040-022-02519-z

DOI

http://dx.doi.org/10.1007/s10040-022-02519-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1149848951


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