
Jungjin KimSeoul National University of Science and Technology · Institute of Environmental Technology
Jungjin Kim
Doctor of Philosophy
About
31
Publications
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205
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Introduction
Additional affiliations
September 2017 - July 2020
August 2011 - August 2017
August 2010 - present
Publications
Publications (31)
Grazing management is an important factor affecting the delivery of ecosystem services at the watershed scale. Moreover, characterizing the impacts of climate variation on water resources is essential in managing range-lands. In this study, the effects of alternative grazing management scenarios on provisioning, regulating, and supporting services...
The Soil and Water Assessment Tool (SWAT) has been widely employed to assist with decision making and management planning for assessing and mitigating the impact of climate change. This model has gained popularity in India as the country is facing increasing water issues under projected climate changes. However, a systematic review of the literatur...
The increased concentrations of greenhouse gases have led to global warming and an increased frequency and intensity of extreme weather events. Such changes in weather patterns may have unexpected implications for everyday life and water resource management in coastal and inland areas; thus, it is critical to understand the pattern of the changes....
Subsurface drainage systems are effective management practices employed to remove excess soil water, thereby improving soil aeration and crop productivity. However, these systems can also contribute to water quality issues by enhancing nitrate leaching and loads from agricultural fields. The Soil and Water Assessment Tool (SWAT) is commonly used to...
Globally, grazing lands represent a major carbon (C) sink. However, improper use of these ecosystems can degrade their soils and their C storage capacity. Specifically, prolonged high stocking rates in livestock production can result in significantly less soil organic carbon (SOC) and soil fertility in grazing lands. This underlines the need to ass...
Objectives:In this study, we seek to provide a thorough insight into how people perceive microplastics and uncover issues and hidden trends about the significant microplastic pollution problems by analyzing unstructured data on microplastics.Methods:Environmental news articles related to microplastics were collected. Text mining techniques includin...
Cotton boll count is an important phenotypic trait that aids in a better understanding of the genetic and physiological mechanisms of cotton growth. Several computer vision technologies are available for cotton boll segmentation. However, estimating the number of cotton bolls in a segmented cluster of cotton bolls is a challenging task due to the c...
Alternatives to conventional crop production practices are needed to achieve environmental sustainability. Because tile-drained crop production systems in the Midwestern United States are one of the single largest contributors to environmental degradation, we explored alternative tile drain configurations by changing the tile spacing and depth of t...
Widely-used term-weighting schemes and machine learning (ML) classifiers with default parameter settings were assessed for their performance when applied to environmental big data analysis. Five term-weighting schemes [term frequency (TF), TF–inverse document frequency (TF-IDF), Best Match 25 (BM25), TF–inverse gravity moment (TF-IGM), and TF–IDF–i...
Enhancing ecosystem services and improving water catchment functions are significant components of sustainable rangeland management. Different grazing management practices including the continuous season‐long heavy stocking (HS) and light stocking (LS), and adaptive multi‐paddock stocking (MPS) are adopted on rangelands around the world. Studies ev...
Determining optimum irrigation termination periods for cotton (Gossypium hirsutum L.) is crucial for efficient utilization and conservation of finite groundwater resources of the Ogallala Aquifer in the Texas High Plains (THP) region. The goal of this study was to suggest optimum irrigation termination periods for different Evapotranspiration (ET)...
We conducted a study on water management at the Boise River Watershed in a changing global environment potentially induced by climate variability and urbanization. Environmental ‘hotspots’ associated with water quality and quantity were first identified to select suitable management options, such as Low Impact Development (LID is commonly used for...
We conducted a study on climate-driven flash flood risk in the Boise River Watershed using flood frequency analysis and climate-driven hydrological simulations over the next few decades. Three different distribution families, including the Gumbel Extreme Value Type I (GEV), the 3-parameter log-normal (LN3) and log-Pearson type III (LP3) are used to...
The research features how parallel computing can advance hydrological performances associated with different calibration schemes (SCOs). The result shows that parallel computing can save up to 90% execution time, while achieving 81% simulation improvement. Basic statistics, including (1) index of agreement (D), (2) coefficient of determination (R 2...
The main objective of this research is to develop a hydroclimate drought index (HCDI) using the gridded climate data inputs in a Variable Infiltration Capacity (VIC) modeling platform. Typical drought indices, including, Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and Self-calibrated Palmer Dr...
The potential impacts driven by climate variability and urbanization in the Boise River Watershed (BRW), located in southwestern Idaho, are evaluated. The outcomes from Global Circulation Models (GCMs) and land use and land cover (LULC) analysis have been incorporated into a hydrological and environmental modeling framework to characterize how clim...
The gap filling is common practice to complete hydrological data series without missing values for environmental simulations and water resources modeling in a changing climate. However, gap filling processes are often cumbersome because physical constraints, such as complex terrain and density of weather stations, often limit the ability to improve...
Multiple missing levels are explored to quantify a threshold of missing values during gap filling processes in daily precipitation series. An autoregressive model was used to generate rainfall estimates and subsets of data are selected with four sampling windows (whole data, front, middle, and rear section) at different missing levels, including 5,...
Basin discretization effects in HSPF simulations were investigated to provide useful insights for hydrologists to determine the proper catchment size for basin scale modeling. The next generation radar (NEXRAD) rainfall estimates were incorporated into the HSPF modeling environment to generate streamflows at various catchments sizes ranging from 37...
As the climate continues to warm and the economy becomes more globalized, one of the great challenges facing agricultural producers, the agribusiness community, and policy makers is to find ways to mitigate the impacts of drought. Understanding the onset and intensity of drought is critical for agricultural water management in Idaho. In this resear...
Land use changes associated with urbanization affect local hydrology and nonpoint source (NPS) pollution at the rural-urban interface, such as the Kyung-An basin, Republic of Korea. Streamflow and NPS pollutant, such as BOD, TN, TP, and SS are simulated using the Long-Term Hydrologic Impact Assessment (L-THIA) model to characterize hydrological pro...
Hydrological simulation Program-Fortran (HSPF) model was used to simulate streamflow and snow depth at Pyengchang watershed. The selected Global Climate Models (GCMs) provided by the Coupled Model Intercomparision Project Phase 3 (CMIP3) were utilized to evaluate streamflow and snow depth driven by future climate scenarios, including A1, A1B, and B...
Low impact development (LID) technique is recently proposed as new concept to reduce surface runoff and pollutant loading with various best management practices (BMPs). In this study, LIDMOD2, which is one of the model to evaluate LID, was applied at Mohyeon developing area to evaluate the redcution of annual runoff and pollution loading, cost-redu...
The effect of selecting hydrologic item for calculating objective function on calibration of stream flow was evaluated by Hydrologic Simulation Porgram-Fortran (HSPF) linked with Model Independent Parameter Optimizer (PEST). Daily and monthly stream flow and flow duration were used to calculate objective function. Automated calibration focused on m...
CN values are changed by various surface condition, which is cover type or treatment, hydrologic condition, or percent impervious area, even the same combination of land use and hydrologic soil group. In this study, CN parameters were regionalized for Nakdong River Basin by Long-Term Hydrologic Impact Assessment (L-THIA) coupled with SCE-UA, which...
The guideline of selection of Integrated Management Practices (IMPs), such as wood, green roof, lawn, and porous pavement, for Low Impact Development (LID) design was proposed by ranking the reduction rate of surface runoff using LIDMOD1.0. Based on the guideline, LID was designed with several scenarios at two apartment complexes located at Songpa-...