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1995.4-2008.2 : Director of Environment Research Division, Kyonggi Research Institute 2008.3-2016.9 : Professor, Dept. of Landscape Architecture, College of Bio-Science, Dankook University 2017.2-present : Research Professor, College of Life Science & Biotechnology, Korea University
In Korea, where more than half of annual precipitation (55%, 653.9 mm) occurs during the rainy season (June ~ September), it is difficult to efficiently store and manage water resources. These challenges are likely to be exacerbated by climate change, the impact of which was demonstrated in the summer of 2020 in the form of an unprecedented long rainy season. The purpose of this study is to help establish efficient future water resource management and water-related disaster prevention measures in response to climate change. Application of the HEC-HMS (Hydrologic Engineering Center’s Hydrologic Modeling System) model was evaluated for simulation of rainfall runoff for the Daecheong Dam basin. During model set-up, parameter values for loss, transform and routing methods were calculated based on land cover/land use status and soil type. The calibration results for rainfall runoff at Junction-22 for the year of 2008 showed an excellent Nash-Sutcliffe Efficiency (NSE) value of 0.732, proving the high accuracy of the model. Simulation results for runoff volume at the same junction in 2017 using calibrated parameter values showed an acceptable NSE value of 0.535. Thus, the overall model efficiency of HEC-HMS was validated. The results of a pilot simulation of the impact of climate change on runoff volume under RCP scenarios 4.5 and 8.5 for the year 2050 forecast potential exacerbation of the seasonality in precipitation, in addition to showing a dissimilar pattern from the present, suggesting potential water management issues. Since future management methods should take into account the intensity and frequency of precipitation during the dry and rainy seasons, which vary due to climate change, validation of the HEC-HMS as a tool for predicting runoff volume in the mid- to long-term future is important.
Yoonji Kim; Jieun Yu; Kyungil Lee; Hyun Chan Sung; Seong Woo Jeon. Application of the HEC-HMS Model for Prediction of Future Rainfall Runoff in the Daecheong Dam Basin of the Geum River. Journal of Climate Change Research 2020, 11, 609 -619.
AMA StyleYoonji Kim, Jieun Yu, Kyungil Lee, Hyun Chan Sung, Seong Woo Jeon. Application of the HEC-HMS Model for Prediction of Future Rainfall Runoff in the Daecheong Dam Basin of the Geum River. Journal of Climate Change Research. 2020; 11 (6-1):609-619.
Chicago/Turabian StyleYoonji Kim; Jieun Yu; Kyungil Lee; Hyun Chan Sung; Seong Woo Jeon. 2020. "Application of the HEC-HMS Model for Prediction of Future Rainfall Runoff in the Daecheong Dam Basin of the Geum River." Journal of Climate Change Research 11, no. 6-1: 609-619.
Forest spatial information is regularly established and managed as basic data for national forest planning and forest policy establishment. Among them, the grade of vegetation conservation shall be investigated and evaluated according to the value of vegetation conservation. As the collection of field data over large or remote areas is difficult, unmanned aerial vehicles (UAVs) are increasingly being used for this purpose. Consequently, there is a need for research on UAV-monitoring and three-dimensional (3D) image generation techniques. In this study, a new method that can efficiently collect and analyze UAV spatial data to survey and assess forests was developed. Both UAV-based and LiDAR imaging methods were evaluated in conjunction with the ground control point measurement method for forest surveys. In addition, by fusing the field survey database of each target site and the UAV optical and LiDAR images, the Gongju, Samcheok, and Seogwipo regions were analyzed based on deep learning. The kappa value showed 0.59, 0.47, and 0.78 accuracy for each of the sites in terms of vegetation type (artificial or natural), and 0.68, 0.53, and 0.62 accuracy in terms of vegetation layer structure. The results of comparative analysis with ecological natural maps by establishing vegetation conservation levels show that about 83.9% of the areas are consistent. The findings verified the applicability of this UAV-based approach for the construction of geospatial information on forests. The proposed method can be useful for improving the efficiency of the Vegetation Conservation Classification system and for conducting high-resolution monitoring in forests worldwide.
Yongyan Zhu; Seongwoo Jeon; Hyunchan Sung; Yoonji Kim; Chiyoung Park; Sungeun Cha; Hyun-Woo Jo; Woo-Kyun Lee. Developing UAV-Based Forest Spatial Information and Evaluation Technology for Efficient Forest Management. Sustainability 2020, 12, 10150 .
AMA StyleYongyan Zhu, Seongwoo Jeon, Hyunchan Sung, Yoonji Kim, Chiyoung Park, Sungeun Cha, Hyun-Woo Jo, Woo-Kyun Lee. Developing UAV-Based Forest Spatial Information and Evaluation Technology for Efficient Forest Management. Sustainability. 2020; 12 (23):10150.
Chicago/Turabian StyleYongyan Zhu; Seongwoo Jeon; Hyunchan Sung; Yoonji Kim; Chiyoung Park; Sungeun Cha; Hyun-Woo Jo; Woo-Kyun Lee. 2020. "Developing UAV-Based Forest Spatial Information and Evaluation Technology for Efficient Forest Management." Sustainability 12, no. 23: 10150.
Ecological damage refers to the reduction in the value of the environment due to human activities such as development. The intensity of ecosystem damage is worsening worldwide. Although the importance of restoration projects to reduce ecosystem damage is increasing, they are difficult to carry out, owing to the absence of data and monitoring of damaged areas. In this study, ecologically damaged areas for restoration in South Korea were detected using remote sensing and field surveys. For the analysis, national standardized vector datasets and Google Earth images were used; field surveys were conducted from 2018 to early 2020. Our results showed that 62% of the ecological damage that occurred in South Korea existed in forest ecosystems; the damaged areas were mostly smaller than 50,000 m2. Additionally, most of the causes and types of damage due to human activities such as development were soil erosion related. The results also suggest the importance of obtaining monitoring data on ecologically damaged areas and the importance of establishing an appropriate restoration plan using this data.
Kyungil Lee; Hyun Sung; Joung-Young Seo; Youngjae Yoo; Yoonji Kim; Jung Kook; Seong Jeon. The Integration of Remote Sensing and Field Surveys to Detect Ecologically Damaged Areas for Restoration in South Korea. Remote Sensing 2020, 12, 3687 .
AMA StyleKyungil Lee, Hyun Sung, Joung-Young Seo, Youngjae Yoo, Yoonji Kim, Jung Kook, Seong Jeon. The Integration of Remote Sensing and Field Surveys to Detect Ecologically Damaged Areas for Restoration in South Korea. Remote Sensing. 2020; 12 (22):3687.
Chicago/Turabian StyleKyungil Lee; Hyun Sung; Joung-Young Seo; Youngjae Yoo; Yoonji Kim; Jung Kook; Seong Jeon. 2020. "The Integration of Remote Sensing and Field Surveys to Detect Ecologically Damaged Areas for Restoration in South Korea." Remote Sensing 12, no. 22: 3687.
This study analyzed consulation data for the environmental impact assessment consultation data focusing on onshore wind power and solar power generation projects, which make up the largest share of renewable energy generation, to identify annual trends and the number of consultation cases by type. The GIS Database(DB) construction and location characteristics of existing onshore wind and solar power generation complexes were analyzed. Based on business code and project name, the number of consultations on wind power generation was 127, with another 7,700 solar power generation, showing sharp increases in both 2014 and 2017. By examining project progress based on aerial photographs and satellite images, GIS DB was constructed. Location characteristics were analyzed for wind (31 cases) and solar (42 cases) power generation complexes, which displayed accurate business boundaries. Most wind power generation plants were located in forest areas with an average annual wind speed of more than 6m/s and gentle slopes in alpine areas. In addition, they are located in areas with an excellent ecological environment, such as Ecological Zoning Map first-level areas, Ecological Conservarion Value Assessment Map first-level areas, and core and buffer regions of the Baekdudaegan protected areas. Most solar power generation plants were generated in low altitude flat forest and farmland, forestry-conservation forest, and natural environment conservation area. The results of this study can be used as basic data for effective environmental impact assessment consultations, such as creation of new power generation complexes and improved location standards.
Yongyan Zhu; Hyunchan Sung; Yoonji Kim; Sunghoon Cha; Seongwoo Jeon. Study on Location and Ecological Environmental Characteristics of Onshore Wind and Solar Generation Projects. Journal of Climate Change Research 2020, 11, 145 -153.
AMA StyleYongyan Zhu, Hyunchan Sung, Yoonji Kim, Sunghoon Cha, Seongwoo Jeon. Study on Location and Ecological Environmental Characteristics of Onshore Wind and Solar Generation Projects. Journal of Climate Change Research. 2020; 11 (3):145-153.
Chicago/Turabian StyleYongyan Zhu; Hyunchan Sung; Yoonji Kim; Sunghoon Cha; Seongwoo Jeon. 2020. "Study on Location and Ecological Environmental Characteristics of Onshore Wind and Solar Generation Projects." Journal of Climate Change Research 11, no. 3: 145-153.
Urban heat island (UHI) is a phenomenon that occurs in cities worldwide. Therefore, there is an increasing need for studies on the changes in UHI intensity and long-term trends based on macroscopic characteristics related to urbanization. In this study, changes in seasonal UHI intensity based on urban area were analyzed for eight Asian mega cities from 1992–2012. The results indicate that the change in pattern of UHI intensity varies for different cities and seasons. UHI intensity increased as the urban area size increased. Furthermore, the dependency of UHI intensity on the economic situation was also demonstrated. With respect to the seasons, significantly increasing trends appeared during the summer. Moreover, depending on urban characteristics such as geography and climate, increasing trends appeared during other seasons. Population was also found to affect UHI intensity by generating anthropogenic heat; however, its effect as an individual factor appeared to be insignificant. This is a macroscale study that analyzes the effect of urban area size on UHI intensity. Future studies on urbanization factors and levels influencing the UHI intensity using higher resolution materials are required
Kyungil Lee; Yoonji Kim; Hyun Chan Sung; Jieun Ryu; Seong Woo Jeon. Trend Analysis of Urban Heat Island Intensity According to Urban Area Change in Asian Mega Cities. Sustainability 2019, 12, 112 .
AMA StyleKyungil Lee, Yoonji Kim, Hyun Chan Sung, Jieun Ryu, Seong Woo Jeon. Trend Analysis of Urban Heat Island Intensity According to Urban Area Change in Asian Mega Cities. Sustainability. 2019; 12 (1):112.
Chicago/Turabian StyleKyungil Lee; Yoonji Kim; Hyun Chan Sung; Jieun Ryu; Seong Woo Jeon. 2019. "Trend Analysis of Urban Heat Island Intensity According to Urban Area Change in Asian Mega Cities." Sustainability 12, no. 1: 112.