Il-Moon Chung
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View article: Development of the machine learning and deep learning models with SHAP strategy for predicting groundwater levels in South Korea
Development of the machine learning and deep learning models with SHAP strategy for predicting groundwater levels in South Korea Open
In this research, the groundwater levels (GWLs) were predicted by employing machine learning (i.e., stochastic gradient boosting (SGB), random forest (RF), generalized regression neural networks (GRNN), and group of method data handling (G…
View article: Coupled SWAT-MODFLOW model for assessing watershed responses to groundwater sustainability: A novel ensemble approach
Coupled SWAT-MODFLOW model for assessing watershed responses to groundwater sustainability: A novel ensemble approach Open
Study Region: Gilgel Gibe Watershed, Omo Gibe River Basin, Ethiopia. Study Focus: Groundwater depletion adversely affects ecosystem health, leading to reduced vegetation cover, changes in habitat suitability, and increased vulnerability to…
View article: Seasonal hydrologic responses to climate change based on a CMIP6 multi-model ensemble: A case study of An-Seong watershed in South Korea
Seasonal hydrologic responses to climate change based on a CMIP6 multi-model ensemble: A case study of An-Seong watershed in South Korea Open
Study region: The An-Seong watershed of South Korea. Study focus: This paper presents the impact of climate change on seasonal hydrologic responses using the SWAT model. The effects of climate change have been assessed through a multi-GCM …
View article: Modeling and prediction of climate change impacts on water resources vulnerability: A multi-model approach
Modeling and prediction of climate change impacts on water resources vulnerability: A multi-model approach Open
In a rapidly changing world, uncontrolled climate change worsens water scarcity disrupting hydrological cycles and hindering sustainable development. Addressing water resources vulnerability requires holistic approaches to better understan…
View article: Extraction of Major Groundwater Ions from Total Dissolved Solids and Mineralization Using Artificial Neural Networks: A Case Study of the Aflou Syncline Region, Algeria
Extraction of Major Groundwater Ions from Total Dissolved Solids and Mineralization Using Artificial Neural Networks: A Case Study of the Aflou Syncline Region, Algeria Open
Global water demand due to population growth and agricultural development has led to widespread overexploitation of groundwater, particularly in semi-arid regions. The traditional hydrochemistry monitoring system still suffers from limited…
View article: Extraction of Major Groundwater Ions from Total Dissolved Solids and Mineralization Using Artificial Neural Networks: A Case Study of the Aflou_Syncline Region, Algeria
Extraction of Major Groundwater Ions from Total Dissolved Solids and Mineralization Using Artificial Neural Networks: A Case Study of the Aflou_Syncline Region, Algeria Open
Global water demand due to population growth and agricultural development, has led to widespread overexploitation of groundwater, particularly in semi-arid regions. Traditional hydrochemistry monitoring system still suffers from limited la…
View article: Evaluating the Hydrological Impact of Reservoir Operation on Downstream Flow of Seomjin River Basin: SWAT Model Approach
Evaluating the Hydrological Impact of Reservoir Operation on Downstream Flow of Seomjin River Basin: SWAT Model Approach Open
Multi-purpose dams in a river basin frequently result in variations in downstream flow. Precisely assessing the reservoir operation effects can improve management strategies and alleviate extreme hydrological events. This study assesses th…
View article: Evaluation of Individual Impacts of Human Activities on Streamflow Changes Using SWAT Model
Evaluation of Individual Impacts of Human Activities on Streamflow Changes Using SWAT Model Open
Understanding streamflow behavior under the influence of climate change and human activities is crucial for developing adaptation strategies and policies for water resource planning and management. However, detecting natural or negligible …
View article: Enhancing the SDG 6 Index: Implementing New Directions and Trends in Priorities of Integrated Water Resources Management Principles in the Republic of Korea
Enhancing the SDG 6 Index: Implementing New Directions and Trends in Priorities of Integrated Water Resources Management Principles in the Republic of Korea Open
Enhancement of water and sanitation management acts as a significant component of global development as it is part of the United Nation’s sixth Sustainable Development Goal. Due to peculiar geographical and climatic attributes of the count…
View article: Sustainability of Groundwater Exploitation Under Climate Change Scenarios in a Mountainous Area of South Korea
Sustainability of Groundwater Exploitation Under Climate Change Scenarios in a Mountainous Area of South Korea Open
The excessive extraction of groundwater is a globally significant issue, as it can lead to the permanent loss of groundwater system sustainability. Sustainable groundwater requires development that appropriately balances the needs of both …
View article: Integrated operation of sand dam and groundwater dam to increase water supply capacity in mountainous areas of Chuncheon, South Korea
Integrated operation of sand dam and groundwater dam to increase water supply capacity in mountainous areas of Chuncheon, South Korea Open
Study region: A valley area in South Korea Study focus: Sand dams are cost-effective water-storage facilities for water-stressed areas in arid and semi-arid climates, with the advantages of reducing evaporation losses and filtering polluta…
View article: Calibration and Evaluation of Alternative Methods for Reliable Estimation of Reference Evapotranspiration in South Korea
Calibration and Evaluation of Alternative Methods for Reliable Estimation of Reference Evapotranspiration in South Korea Open
Reference evapotranspiration (ET) is crucial for effective agricultural and water resource management, with the FAO-56 Penman-Monteith (FAO PM) method being the standard for its estimation. However, in regions with incomplete or poor-quali…
View article: A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration
A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration Open
Suspended sediment concentration prediction is critical for the design of reservoirs, dams, rivers ecosystems, various operations of aquatic resource structure, environmental safety, and water management. In this study, two different machi…
View article: Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran)
Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran) Open
View article: Quantifying regional low flows under data scarce conditions
Quantifying regional low flows under data scarce conditions Open
Estimating low flow quantiles is essential for regulating minimum flow requirements and ensuring water availability, ecological health, and overall system sustainability. This study aims to quantify regional low flows by analyzing low-flow…
View article: Spatiotemporal changes in future precipitation of Afghanistan for shared socioeconomic pathways
Spatiotemporal changes in future precipitation of Afghanistan for shared socioeconomic pathways Open
Global warming induces spatially heterogeneous changes in precipitation patterns, highlighting the need to assess these changes at regional scales. This assessment is particularly critical for Afghanistan, where agriculture serves as the p…
View article: Assessing the Impact of Climate Change-Induced Droughts in the Gimcheon Watershed: A GIS and Remote Sensing Approach for Informed Water Resource Management
Assessing the Impact of Climate Change-Induced Droughts in the Gimcheon Watershed: A GIS and Remote Sensing Approach for Informed Water Resource Management Open
This study employs advanced Geographical Information Systems (GIS) and Remote Sensing (RS) techniques to thoroughly analyze the impact of climate change-induced droughts in the Gimcheon watershed within the Nakdong River Basin, South Korea…
View article: Assessment of Hydrological Responses to Land Use and Land Cover Changes in Forest-Dominated Watershed Using SWAT Model
Assessment of Hydrological Responses to Land Use and Land Cover Changes in Forest-Dominated Watershed Using SWAT Model Open
Recognizing how human activities affect hydrological systems is vital for the sustainable preservation and effective management of water resources in the watershed. Hence, this paper focuses on the hydrological response to land use and lan…
View article: Individual Impact of Human Activities on Streamflow Changes in the Gamcheon Watershed, South Korea
Individual Impact of Human Activities on Streamflow Changes in the Gamcheon Watershed, South Korea Open
View article: Individual Impact of Human Activities on Streamflow Changes in the Gamcheon Watershed, South Korea
Individual Impact of Human Activities on Streamflow Changes in the Gamcheon Watershed, South Korea Open
View article: Estimation of Streamflow Depletion Caused by Groundwater Withdrawal in the Bokhacheon Watershed in South Korea Using the Modified SWAT Model
Estimation of Streamflow Depletion Caused by Groundwater Withdrawal in the Bokhacheon Watershed in South Korea Using the Modified SWAT Model Open
Understanding the effects of groundwater withdrawal on streamflow depletion is important for effectively managing water resources. The Soil and Water Assessment Tool (SWAT) model has a groundwater module to calculate the groundwater budget…
View article: Estimation of Crop Water Productivity Using GIS and Remote Sensing Techniques
Estimation of Crop Water Productivity Using GIS and Remote Sensing Techniques Open
The global demand for food is growing with the population and urbanization, which puts pressure on water resources, which need assessing and quantifying water requirements. Adopting efficient irrigation methods to optimize water use is ess…
View article: Investigating Landfill Leachate and Groundwater Quality Prediction Using a Robust Integrated Artificial Intelligence Model: Grey Wolf Metaheuristic Optimization Algorithm and Extreme Learning Machine
Investigating Landfill Leachate and Groundwater Quality Prediction Using a Robust Integrated Artificial Intelligence Model: Grey Wolf Metaheuristic Optimization Algorithm and Extreme Learning Machine Open
The likelihood of surface water and groundwater contamination is higher in regions close to landfills due to the possibility of leachate percolation, which is a potential source of pollution. Therefore, proposing a reliable framework for m…
View article: Review of: "MCDA - Groundwater prediction analysis for Sustainable Development using GIS Supported AHP in Okeigbo, Southwestern Nigeria"
Review of: "MCDA - Groundwater prediction analysis for Sustainable Development using GIS Supported AHP in Okeigbo, Southwestern Nigeria" Open
The article entitled '' MCDA -Groundwater prediction analysis for Sustainable Development using GIS Supported AHP in Okeigbo, Southwestern Nigeria'' is an interesting work.The paper is properly written, presents valuable findings with clea…
View article: Assessment of Spatiotemporal Groundwater Recharge Distribution Using SWAT-MODFLOW Model and Transient Water Table Fluctuation Method
Assessment of Spatiotemporal Groundwater Recharge Distribution Using SWAT-MODFLOW Model and Transient Water Table Fluctuation Method Open
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 numer…
View article: Assessment of Spatiotemporal Groundwater Recharge Distri-bution Using SWAT-MODFLOW Model and Transient Water Fluctuation Method
Assessment of Spatiotemporal Groundwater Recharge Distri-bution Using SWAT-MODFLOW Model and Transient Water Fluctuation Method Open
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 numer…
View article: Estimation of spatio-temporal groundwater recharge in Jeju Island, Korea
Estimation of spatio-temporal groundwater recharge in Jeju Island, Korea Open
Accurate estimation of groundwater recharge in Jeju Island, which relies on groundwater for most of its water use, is very important for water resource management and planning. However, Jeju watershed is a volcanic island with high permeab…
View article: Analysis of Water Supply Capacity of a Sand Dam
Analysis of Water Supply Capacity of a Sand Dam Open
A sand dam is an old technology used to trap sand materials and store water in dry riverbeds. Besides the volume of sand stored, the water storage and supply capacity of the sand dam depends principally on material properties including hyd…
View article: Integrated Surface Water and Groundwater Analysis
Integrated Surface Water and Groundwater Analysis Open
Comprehensive understanding of surface water and groundwater interaction is essential for effective water resources management. Groundwater and surface water are closely connected components that constantly interact with each other within …
View article: Assessing the effect of urbanization on regional-scale surface water-groundwater interaction and nitrate transport
Assessing the effect of urbanization on regional-scale surface water-groundwater interaction and nitrate transport Open