A5083614474- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Soil and Water Nutrient Dynamics
- Hydrology and Sediment Transport Processes
- Hydrological Forecasting Using AI
- Water Quality and Pollution Assessment
- Landslides and related hazards
- Rice Cultivation and Yield Improvement
- Seismic Performance and Analysis
- Water resources management and optimization
- Climate variability and models
- Fish Ecology and Management Studies
- Urban Stormwater Management Solutions
- Structural Health Monitoring Techniques
- Groundwater flow and contamination studies
- Low-power high-performance VLSI design
- VLSI and Analog Circuit Testing
- Groundwater and Watershed Analysis
- Agriculture, Soil, Plant Science
- VLSI and FPGA Design Techniques
- Plant Water Relations and Carbon Dynamics
- Insect Resistance and Genetics
- Water Treatment and Disinfection
- Entomopathogenic Microorganisms in Pest Control
Korea Environment Institute
2021-2025
Konkuk University
2006-2021
Dankook University
2017
Technology Innovation Institute
2015
University of California, Berkeley
2013
Colorado State University
2011
We introduce BAG, the Berkeley Analog Generator, an integrated framework for development of generators and Mixed Signal (AMS) circuits. Such are parameterized design procedures that produce sized schematics correct layouts optimized to meet a set input specifications. BAG extends previous work by implementing interfaces integrate all steps flow into single environment providing helper classes - both at schematic layout level aid designer in developing truly technology-independent circuit...
The present work aimed to examine the feasibility of using artificial neural network (ANN) based models obtain accurate estimates nitrate loads in river basins, which is an important parameter for water quality management. Both Single ANN (SANN) and Ensemble (EANN) were used load estimations five basins Midwest United States. These included Cuyahoga, Raisin, Sandusky, Muskingum, Vermilion Michigan Ohio. Further, canonical correlation analysis (CCA) was applied improve performance. k-fold...
Abstract This study evaluated the economic impacts of flood damage in Nakdong River basin, South Korea, by quantifying both direct and indirect damages caused local riverine floods. We used a risk-based approach to calculate as expected annual across five critical asset categories: residential buildings, agricultural assets, vehicles, human impact, industrial assets. To assess damages, we utilized an inter-regional input–output model, capturing cascading effects various industries regions....
We introduce BAG, the Berkeley Analog Generator, an integrated framework for development of generators and Mixed Signal (AMS) circuits. Such are parameterized design procedures that produce sized schematics correct layouts optimized to meet a set input specifications. BAG extends previous work by implementing interfaces integrate all steps flow into single environment providing helper classes -- both at schematic layout level aid designer in developing truly technology-independent circuit...
Fish assessment index (FAI) is commonly used to perform ecological health assessments of fish communities in rivers. However, the estimation this difficult, considering complexity relationships among water quality, quantity, and hydrologic properties. In study, we propose an ensemble artificial neural network (EANN) based on various hydrological environmental variables, their correlation, improve FAI for streams resource management. The optimal input variables model were determined through...
The study region is comprised of 33 river networks, including hydrometric stations in South Korea. estimation low-flow quantiles for ungauged sites has become increasingly important the hydrological management water resources and environmental preservation. Although processes exhibit nonlinear behaviors complexity, quantile estimates Korea are typically derived using linear models, such as drainage area ratio. This explores application particularly ensemble artificial neural network (EANN)...
The UN disaster report highlights that 90% of disasters from 1995 to 2015 were a consequence hydrometeorological changes. An analysis by the World Meteorological Organization revealed water-related disasters, including droughts, heatwaves, typhoons, and floods, which are partly driven climate change, caused extensive global property damage loss life. Despite concerted efforts for net-zero carbon emissions, there is noticeable lack integration water in decarbonization strategies....
The efficient operation of multi-reservoirs is highly beneficial for securing supply prevailing demand and ecological flow. This study proposes a monthly hedging rule-based aggregation–decomposition model optimizing parallel reservoir system. proposed model, which an aggregated rule flow (AHRE), uses external optimization to determine the total release system based on improved rules—the aims minimize water deficits. Additionally, inner distributes individual reservoirs maintain equal storage...
In aquatic ecosystems, flow is one of the most essential elements species. It necessary to explore correlation with ecological indices for management guidelines ecosystems using because ecosystem data are limited. This study calculated metrics and analyzed between index. attempted understand ecologic index metrics. Flow were quantified in various ways, depending on size, frequency, design flow. The characteristics identified was studied. Pearson coefficient values 22 watersheds compared from...
The Hydrological Simulation Program–FORTRAN (HSPF) is a comprehensive model that was developed to simulate many processes related water flow and quality in watersheds of almost any size complexity. Paddy rice fields often dominate extensive portions the landscape Asian monsoon region. hydrological environmental conditions paddy differ somewhat from those other land uses, HSPF may not adequately farming regions. previously modified HSPF-Paddy; here, we examined applicability model. applied...
Low-flow quantiles at ungauged locations are generally estimated based on hydrological methods, such as the drainage area ratio and frequency analysis methods. In practice, approach is a popular but simple linear model. When hydrologically nonlinear characteristics govern runoff process, leads to significant bias. This study was conducted develop an improved using canonical correlation neural network (CCA-NN)-based regional (RFA) for low-flow estimation. The jackknife technique utilized...
Applicability of a widely accepted watershed-based water quality assessment tool (BASINS) and its associated watershed model (WinHSPF) was evaluated on the Seamangeum in Korea. The study site is largest polder project area Korea environmental has been debated for last five years. BASINS found to be convenient powerful characteristics, provided various tools delineate into land segments river reaches, reclassify use, parameterize WinHSPF simulation. Calibration results were satisfactory...
Abstract Regional frequency analysis (RFA) is widely used in the design of hydraulic structures at locations where streamflow records are not available. RFA estimates depend on precise delineation homogenous regions for accurate information transfer. This study proposes new physiographical variables based river network features and tests their potential to improve accuracy hydrological feature estimates. Information about types both definition estimation process. Data from 105 basins arid...