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하천방재
Comparative Analysis of Water-Level Forecasting Using SWMM and HEC-RAS Flood Simulation Models: A Case Study of Waryong, Jinju
Yeonghee Yoon, Sejeong Lee, Taesam Lee
J. Korean Soc. Hazard Mitig. 2025;25(1):161-168.  Published online February 27, 2025
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기후변화방재
Accuracy Analysis of Real-Time Kinematic Drones as a Replacement for GPS Bases in River Surveying
Seonghyeon Hwang, Taesam Lee, Dongwon Ahn, Sejeong Lee
J. Korean Soc. Hazard Mitig. 2024;24(4):11-17.  Published online August 29, 2024
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Analyzing the Regional Impact of Temperature Change by Long-term Climate Scenarios on Infrastructure Construction
Sejeong Lee, Jaepil Cho, Taesam Lee, Joo-Heon Lee
J. Korean Soc. Hazard Mitig. 2024;24(3):41-49.  Published online June 25, 2024
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Climate Change-based Estimation of Non-working Days for Construction Plan
Sejeong Lee, Jaepil Cho, Taesam Lee
J. Korean Soc. Hazard Mitig. 2024;24(3):31-40.  Published online June 25, 2024
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하천방재
Whole Watershed-based Estimation of FEWS Installation Site Using UAV Photogrammetry
Taegyun Kim, Jaewoo Park, SeongHyeon Hwang, Taesam Lee
J. Korean Soc. Hazard Mitig. 2023;23(4):233-241.  Published online August 28, 2023
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기후변화방재
Development of Alarm Grit Ratio for Drought Forecasting and Its Application to the 2021–2023 Drought
Sejeong Lee, Taesam Lee, Joo-heon Lee
J. Korean Soc. Hazard Mitig. 2023;23(4):23-30.  Published online August 28, 2023
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하천방재
UAV-Based Floodwater-Level Establishment for FEWS for Abrupt River Section Change in Imsan
Yejin Kong, Taegyun Kim, Taesam Lee
J. Korean Soc. Hazard Mitig. 2022;22(6):377-384.  Published online December 23, 2022
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기후변화방재
Reliability Assessment of Agricultural Reservoirs for Water Supply under Climate Change
Dasang Ko, Yeongcheol Joo, Taesam Lee
J. Korean Soc. Hazard Mitig. 2020;20(1):53-60.  Published online February 29, 2020
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기상방재
Estimation of the Future Probable Precipitation based on the Assumption of Non-Stationarity in Seoul
Minsu Jeong, Taesam Lee, JooHeon Lee, Hyeonseok Choi, Sunkwon Yoon
J. Korean Soc. Hazard Mitig. 2020;20(1):19-29.  Published online February 29, 2020
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Is Deep Better in Extreme Temperature Forecasting?
Trang Thi Kieu Tran, Taesam Lee
J. Korean Soc. Hazard Mitig. 2019;19(7):55-62.  Published online December 31, 2019
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하천방재
Comparison of Optimization Algorithms in Deep Learning-Based Neural Networks for Hydrological Forecasting: Case Study of Nam River Daily Runoff
Moradi Mahsa, Taesam Lee
J. Korean Soc. Hazard Mitig. 2018;18(6):377-384.  Published online October 31, 2018
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풍수해방재
Revisiting Design Flood Estimation for Multi-Purpose Dams in South Korea Following the Enhanced Frequency Analysis in Bulletin 17C
Chanyoung Son, Taesam Lee, F. England John, Mujong Park
J. Korean Soc. Hazard Mitig. 2016;16(6):369-378.  Published online December 31, 2016
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하천방재
Assessing the Adequacy of the Existing Formula for the Design Channel Width of Local Small Streams -A Case Study on the Uiryeong Province-
Taesam Lee, Jinsu Park, Changsam Jeong
J. Korean Soc. Hazard Mitig. 2016;16(4):269-276.  Published online August 30, 2016
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MIxture Distribution Fittinf and Modeling for Regional Frequency Analysis of Maximum Wind Speed Over South Korea
Nima Ghazijahani, Taesam Lee
J. Korean Soc. Hazard Mitig. 2015;15(5):191-199.  Published online October 31, 2015
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Temporal Downscaling of Precipitation from Daily to Hourly Based on Nonparametric Approach: Assessment of the Climate Change Impacts on the Hourly Precipitation for the Gyeongnam Region
Taesam Lee, Taewoong Park, Hyunseung Lee, Changsam Jeong
J. Korean Soc. Hazard Mitig. 2014;14(4):301-308.  Published online August 31, 2014
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