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Comparative Influences of Precipitation and River Stage on Groundwater Levels in Near-River Areas

Incheol Kim, Donggyu Park, Doohyun Kyung, Garam Kim, Sunbin Kim and Junhwan Lee
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Incheol Kim: School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea
Donggyu Park: School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea
Doohyun Kyung: School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea
Garam Kim: School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea
Sunbin Kim: Coastal and Environmental Engineering Division, Korea Institute of Ocean Science and Technology, Ansan 15627, Korea
Junhwan Lee: School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea

Sustainability, 2015, vol. 8, issue 1, 1-16

Abstract: The sustainable performance of foundations of various urban buildings and infrastructures is strongly affected by groundwater level (GWL), as GWL causes changes in the stress state within soil. In the present study, the components affecting GWL were investigated, focusing on the effects of precipitation and river stage. These components were analyzed using a six-year database established for hydrological and groundwater monitoring data. Five study regions for which daily measured precipitation, river stage, and GWL data were available were compared. Different periods of precipitation, geographical characteristics, and local surface conditions were considered in the analysis. The results indicated that key influence components on GWL are different depending on the hydrological, geological, and geographical characteristics of the target regions. River stage had the strongest influence on GWL in urban areas near large rivers with a high ratio of paved surface. In rural areas, where the paved surface area ratio and soil permeability were low, the moving average showed a closer correlation to GWL than river stage. A moving average-based method to predict GWL variation with time was proposed for regions with a low ratio of paved surface area and low permeability soils.

Keywords: groundwater level; precipitation; moving average; river stage; seasonal variation; climate change; correlation analysis; estimation method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2015
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