Il-Moon Chung

University of Science and Technology (UST)
Country flagSouth Korea

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Articles (10)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Recharge is a crucial section of water balance for both surface and subsurface models in water resource assessment. However, quantifying its spatiotemporal distribution at a regional scale poses a significant challenge. Empirical and numerical modeling are the most commonly used methods at the watershed scales. However, integrated models inherently contain a vast number of unknowns and uncertainties, which can limit their accuracy and reliability. In this work, we have proposed integrated SWAT-MODFLOW and Transient Water Table Fluctuation Method (TWTFM) to evaluate the spatiotemporal distribution of groundwater recharge in Anyang watershed, South Korea. Since TWTFM also uses SWAT model percolation output data, calibration was performed for individual models and a coupled model. The coupled model was calibrated using daily streamflow and hydraulic head. The SWAT-MODFLOW model performed well during the simulation of streamflow compared to the SWAT model. The study output showed that the study watershed had significant groundwater recharge variations during the simulated period. A significant amount of recharge happens in the wet season. It contributes a significant amount of the average annual precipitation of the region. The direct flow components (surface and lateral) showed significant contributions when the water balance components were evaluated in the region. TWTFM showed a glimpse to estimate recharge, which requires representative monitoring wells in the study region. Comprehensively, the SWAT-MODFLOW model estimated groundwater recharge with reasonable accuracy in the region.

Year:

2023

Year:

2023

Year:

2022

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2022

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2022

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2022

Collaborators (3)

Il Hwan Kim

Korea Institute of Civil Engineering and Building Technology

SOUTH KOREA
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Sungwon Kim

Dongyang University

SOUTH KOREA
View details

Ozgur Kisi

Guest Professor

University of Applied Sciences

GERMANY
View details
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