Il-Moon Chung on Muck Rack

Il-Moon Chung

As seen in: Nature, MDPI
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Articles

Next-generation intelligent framework for pan evaporation prediction: introducing Chebyshev polynomial-based Kolmogorov-Arnold networks

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By Amin Gharehbaghi, Salim Heddam, Saeid Mehdizadeh, Sungwon Kim, Il-Moon Chung
| Nature Verified
Abstract Pan evaporation (Epan) is one of the crucial parameters in hydrological studies, sustainable agricultural development, and water resources management. Predicting Epan remains a challenging problem among researchers worldwide because of its dependency to the diverse climate elements. Hence, it is necessary to precisely predict Epan time series through establishing reliable predictive models.
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Enhancing groundwater vulnerability assessment framework under anthropogenic stressors

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By Tarekegn Dejen Mengistu, Il-Moon Chung, Sun Woo Chang
| Nature Verified
Abstract Aquifer vulnerability assessment (AVA) is a critical tool for the protection of groundwater-dependent ecosystems, especially in regions under persistent anthropogenic stress. Yet conventional index-based methods often rely on static parameters that inadequately represent dynamic surface–groundwater interactions (SGWI) and evolving land use pressures.
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Evaluation of Individual Impacts of Human Activities on Streamflow Changes Using SWAT Model

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By Jeongwoo Lee, Jeong Eun Lee, Chul-Gyum Kim, Il-Moon Chung
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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