Journal of the Korean Society of Hazard Mitigation

Search: J. Korean Soc. Hazard Mitig Search

CLOSE

Search

Page Path

HOME
Search

River Hazard Mitigation (하천방재)
Predicting Local Scour at Bridge Piers Using Probability-Distribution Machine Learning: Jaemyeong Choi, Taeyoon Kim, Joowon Choi, Soonchul Kwon; J. Korean Soc. Hazard Mitig. 2025;25(6):493-504. Published online December 23, 2025; DOI: https://doi.org/10.9798/KOSHAM.2025.25.6.493; Full text PubReader PDF


Machine Learning-Based Decision Support Model for Estimating Search Ranges of Riverine Drowning Accidents Using Flow Rate-Velocity Prediction: IkJin Jun, SaRang Lim, TaeSun Kim; J. Korean Soc. Hazard Mitig. 2025;25(6):483-491. Published online December 23, 2025; DOI: https://doi.org/10.9798/KOSHAM.2025.25.6.483; Full text PubReader PDF

Wind and Flood Hazard Mitigation (풍수해방재)
A Study on Learning-Machine Models for Low-Flow Prediction in River Basins: Juhwan Kim, Hung Soo Kim, Deukhwan Kim, Seungmin Lee, Seonuk Baek; J. Korean Soc. Hazard Mitig. 2025;25(6):461-472. Published online December 23, 2025; DOI: https://doi.org/10.9798/KOSHAM.2025.25.6.461; Full text PubReader PDF

Meteorological Hazard Mitigation (기상방재)
Estimation of High-Resolution Soil Moisture Using Sentinel-1 and LightGBM over the Miho River Watershed: Jongmin Park, Kijin Park, Yangwan Kim, Byung-kyu Kim; J. Korean Soc. Hazard Mitig. 2025;25(6):65-73. Published online December 23, 2025; DOI: https://doi.org/10.9798/KOSHAM.2025.25.6.65; Full text PubReader PDF


Development of a Two-phase Physics-informed Machine Learning Model for Sequential Spatiotemporal Correction of Grid-based Flood Simulations: Seungmin Lee, Seonuk Baek, Wonjoon Wang, Soojun Kim; J. Korean Soc. Hazard Mitig. 2025;25(6):55-64. Published online December 23, 2025; DOI: https://doi.org/10.9798/KOSHAM.2025.25.6.55; Full text PubReader PDF

Wind and Flood Hazard Mitigation (풍수해방재)
Development of a Machine Learning Model for Predicting Casualties from Heavy Rainfall Disasters: Youngseok Song, Byungsik Kim, Hayong Kim; J. Korean Soc. Hazard Mitig. 2025;25(5):231-240. Published online October 27, 2025; DOI: https://doi.org/10.9798/KOSHAM.2025.25.5.231; Full text PubReader ePub PDF

Climate Change Hazard Mitigation (기후변화방재)
Development of Machine Learning-based River Algal Bloom Prediction Model and Assessment of Influencing Factors: Miho and Nakdong River Basins: Byeong Heon On, Seo Yun Lee, Do Guen Yoo; J. Korean Soc. Hazard Mitig. 2025;25(5):1-10. Published online October 27, 2025; DOI: https://doi.org/10.9798/KOSHAM.2025.25.5.1; Full text PubReader ePub PDF

Geotechnical Hazard Mitigation (지반방재)
Development of a Regression Model for Predicting Ground Subsidence Risk Using Machine Learning: Sungyeol Lee, Jinyoung Kim, Myeongsik Kong, Jaemo Kang; J. Korean Soc. Hazard Mitig. 2024;24(6):329-336. Published online December 27, 2024; DOI: https://doi.org/10.9798/KOSHAM.2024.24.6.329; Full text PubReader ePub PDF

Urban Hazard Mitigation (도시방재)
Development of a Machine-learning-based Framework to Assess the Performance of Water Distribution Systems: Young Hwan Choi, Min Jun Kim, Teagyun Kim; J. Korean Soc. Hazard Mitig. 2024;24(5):49-61. Published online October 28, 2024; DOI: https://doi.org/10.9798/KOSHAM.2024.24.5.49
Cited By 2; Full text PubReader ePub PDF

Wind and Flood Hazard Mitigation (풍수해방재)
Predicting Damage Characteristics of Heavy Rain Disasters Using Artificial Neural Network: Youngseok Song, Hyeong Jun Lee, Jinjul Joo, Moojong Park; J. Korean Soc. Hazard Mitig. 2024;24(1):83-89. Published online February 23, 2024; DOI: https://doi.org/10.9798/KOSHAM.2024.24.1.83
Cited By 2; Full text PubReader ePub PDF

Environmental Hazard Mitigation (환경방재)
Prediction of the DO Factor at Bugok Bridge, Oncheoncheon, Using Deep Learning: Heesung Lim, Hyunuk An, Jaenam Lee, Hyungjin Shin, Nagweon Choi, Jingul Joo; J. Korean Soc. Hazard Mitig. 2023;23(6):325-333. Published online December 22, 2023; DOI: https://doi.org/10.9798/KOSHAM.2023.23.6.325
Cited By 1; Full text PubReader ePub PDF

Mountain Hazard Mitigation (산지방재)
Machine Learning for Big Data Analytics in Development of Wildfire Prediction Models: Chanjung Lee, Mooyoung Lim, Yohan Lee; J. Korean Soc. Hazard Mitig. 2023;23(2):29-39. Published online April 27, 2023; DOI: https://doi.org/10.9798/KOSHAM.2023.23.2.29
Cited By 5; Full text PubReader ePub PDF

Building Hazard Mitigation (건축물방재)
Analytical Study on the Prediction of Fire Evacuation Time in Large Complex Buildings Using the Ensemble Learning Technique: DooHee Lee, HakKyung Kim, Jeon Soo Kim, Hyun Soo Hwang, DooChan Choi; J. Korean Soc. Hazard Mitig. 2022;22(5):9-17. Published online October 27, 2022; DOI: https://doi.org/10.9798/KOSHAM.2022.22.5.9; Full text PubReader ePub PDF

Geotechnical Hazard Mitigation (지반방재)
Comparison of Performance of Machine Learning Models for Predicting Compression Index Based on Clay Properties: Sung Yeol Lee, Jinyoung Kim, Jaemo Kang, Won Kin Baek, Hyeon Jun Yoon; J. Korean Soc. Hazard Mitig. 2022;22(4):127-134. Published online August 26, 2022; DOI: https://doi.org/10.9798/KOSHAM.2022.22.4.127
Cited By 2; Full text PubReader ePub PDF


Development of the Prediction Model for Saturated Hydraulic Conductivity of Soils Using Artificial Neural Networks: Jongmuk Won; J. Korean Soc. Hazard Mitig. 2022;22(3):179-185. Published online June 27, 2022; DOI: https://doi.org/10.9798/KOSHAM.2022.22.3.179; Full text PubReader ePub PDF

ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES

AUTHOR INFORMATION

Editorial Office: 1014 New Bldg., The Korea Science Technology Center, 22 Teheran-ro 7-gil(635-4 Yeoksam-dong), Gangnam-gu, Seoul 06130, Korea
Tel: +82-2-567-6311 Fax: +82-2-567-6313 E-mail: master@kosham.or.kr

Copyright © 2026 by The Korean Society of Hazard Mitigation.

prev

next