top of page

Conference Papers and Presentations (in English)

Last Updated on November 05, 2023

​​

  • [70] Osmani, S.A., Baik, J., Jun, C., Narimani, R., Cha, H., 2024: Spatio-statistical Trend Identification in Climate Indices and Seasonal Precipitations of Bangladesh. AGU Chapman Conference (February 13-16, 2024) – Honolulu, Hawaii, The United States.

  • [69] Osmani, S.A., Jun, C., Baik, J., Narimani, R., Cha, H., 2023: Visualizing Spatiotemporal Extents of Agricultural Drought Indices in Bangladesh Using Köppen-Geiger Climate Classification System. AGU Fall Meeting (December 11-15, 2023) – San Francisco, The United States.

  • [68] Sung, J., Baik, J., Kim, H-J., Hwang, S., Jun, C., 2023: Unveiling Wetland Health: Harnessing Advanced Machine Learning Techniques to Assess Carbon Exchange through Gross Primary Productivity (GPP) in Inland Wetlands of South Korea. AGU Fall Meeting (December 11-15, 2023) – San Francisco, The United States.

  • [67] Cha, H., Baik, J., Lee, J., Byun, J., Jun, C., 2023: Unveiling Spatiotemporal Similarities in Rainstorm Patterns across Seoul, Republic of Korea. AGU Fall Meeting (December 11-15, 2023) – San Francisco, The United States.

  • [66] Park, K., Jun, C., Oh, J., 2023: Sustainable Water-Energy Nexus: A GIS-Based Spatial Analysis for Wastewater Heat Recovery and Reuse from Wastewater Treatment Plants in South Korea. AGU Fall Meeting (December 11-15, 2023) – San Francisco, The United States.

  • [65] Kim, H-J., Baik, J., Cha, H., Jun, C., 2023: Impacts of Climate Change-Induced Alterations in Low-Level Wind and Water Vapor Supply on Wildfire Occurrence and Spread in Coastal Urban Areas. AGU Fall Meeting (December 11-15, 2023) – San Francisco, The United States.

  • [64] Bateni, S.M., Tran, T.T.K., Rezaie, F., Panahi, M., Jun, C., Trauernicht, C., Neale, C.M.U., Lee, S., 2023: Hybridized Deep Learning Algorithms for Wildfire Susceptibility Mapping: A Case Study of Oahu and Maui. AGU Fall Meeting (December 11-15, 2023) – San Francisco, The United States.

  • [63] Baik, J., Kim, H-J., Lee, J., Byun, J., Jun, C., 2023: Fusing the Future: Advancing Short-Term Precipitation Prediction through Deep Learning Data Fusion of Radar, Remote Sensing, and Weather Modeling Datasets. AGU Fall Meeting (December 11-15, 2023) – San Francisco, The United States.

  • [62] Khoshkam, H., Valipour, M., Bateni, S.M., Jun, C., Kim, D., Lee, J., Ameri, R., Band, S.S., 2023: Forecasting Rainfall in Different Climates across the Contiguous United States Using a Hybrid Deep Learning Model. AGU Fall Meeting (December 11-15, 2023) – San Francisco, The United States.

  • [61] Hwang, S., Baik, J., Sung, J., Kim, H-J., Jun, C., 2023: Advancing Spatially Distributed Evapotranspiration Estimation with High Temporal Resolution: Leveraging the XGBoost Algorithm for Integrating Hydrometeorological Data. AGU Fall Meeting (December 11-15, 2023) – San Francisco, The United States.

  • [60] Hwang, S., Jun, C., Kim, H-J., Sung, J., Baik, J., 2023: Adequacy Assessment of GK-2A Downward Shortwave Radiation for the Korean Peninsula: A Comparative Analysis with Ground-based Observations. The MedGU Annual Meeting (November 27-30, 2023) – Istanbul, Turkiye.

  • [59] Cha, H., Baik, J., Lee, J., Byun, J., Jun, C., 2023: Unveiling Temporal Changes in Peak Rainfall Patterns: A Focus on the Secondary Peak Constant at Seoul. The MedGU Annual Meeting (November 27-30, 2023) – Istanbul, Turkiye.

  • [58] Lee, J., Sayed, B., Jun, C., Heggy, E., Jamei, M., Kim, D., Ghafouri, H., 2023: Daily Reference Evapotranspiration Forecasting via Novel Hybrid Machine Learning Methods to Conserve Agricultural Water Resources. International Conference on Digitalization and Artificial Intelligence in Agricultural Management (November 15-17, 2023) – Stockholm (KTH Main Campus), Sweden.

  • [57] Park, K-H., Kim, H-J., Baik, J., Jun, C., 2023: Investigating the Synergetic Effect of Aspect Ratio and Vegetation in Street Canyon on Heat and PM10 Mitigation. The 11th ICUC (International Conference on Urban Climate) 2023 (August 28 – September 1, 2023) – UNSW Sydney, Australia.

  • [56] Kim, H-J., Park, K-H., Baik, J., Lee, J., Jun, C., 2023: The Effect of Moist Air Inflow in Low Levels Near the Coastal Urban Area on Extreme Precipitation with Thunderstorms. The 11th ICUC (International Conference on Urban Climate) 2023 (August 28 – September 1, 2023) – UNSW Sydney, Australia.

  •  [55] Narimani, R., Jun, C., Sung, J., Baik, J., Kim, H-J., Osmani, S.A., 2023: Wetland Health Assessment in South Korea Using Light Gradient-Boosting Machine with Satellite Images. ITC (International Technical Conference) 2023 (August 23 – August 25, 2023) – Seoul, Korea.

  • [54] Osmani, S.A., Baik, J., Lee, J., Cha, H., Jun, C., 2023: Evaluation of Hybrid Data-driven Models for Meteorological Drought Prediction in Rajshahi Station, Bangladesh. ITC (International Technical Conference) 2023 (August 23 – August 25, 2023) – Seoul, Korea.

  • [53] Byun, J., Kim, H-J., Lee, J., Baik, J., Park, K-H., Jun, C., 2023: A Novel Approach for Image-based Rainfall Estimation with GAN and VAE: Focusing on Rainstreak Detection, Removal, and Generation. Asia Oceania Geosciences Society (AOGS) 20th Annual Meeting (AOGS 2023) (July 30 – August 4, 2023) – Singapore.

  • [52] Osmani, S.A., Narimani, R., Baik, J., Lee, J., Jun, C., 2023: Coupling Machine Learning Algorithms with the Tunable Q-factor Wavelet Transform in Forecasting the SPEI at the Bogra Station in Bangladesh. 12th World Congress on Water Resources and Environment (EWRA 2023) (June 27 – July 1, 2023) – Thessaloniki, Greece.

  • [51] Narimani, R., Osmani, S.A., Hwang, S., Jun, C., 2023: Unveiling the Mysteries of Flood Risk: A Machine Learning Approach to Understanding Flood-influencing Factors for Accurate Mapping. 2023 Korea Water Resources Association Conference (May 25-26, 2023), Korea.

  • [50] Osmani, S.A., Narimani, R., Cha, H., Jun, C., Sayef, Md.A., 2023: Water Level Forecasting for Extended Lead Times Using Preprocessed Data with Variational Mode Decomposition: A Case Study in Bangladesh. 2023 Korea Water Resources Association Conference (May 25-26, 2023), Korea

  • [49] Hwang, S., Lee, J., Sung, J., Kim, H., Kim, B., Jun, C., 2023: Precipitation Measurement from Raindrops’ Sound and Touch Signals. EGU General Assembly 2023 (April 23-28, 2023) – Vienna, Austria.

  • [48] Park, K., Kim, H-J., Jun, C., 2023: The Role of Urban Forests in Compound Urban Crises: Focusing on Floods, Air Pollution, and Human Thermal Comfort. EGU General Assembly 2023 (April 23-28, 2023) – Vienna, Austria.

  • [47] Cha, H., Byun, J., Baik, J., Jun, C., 2023: Estimation of Fine Dust Concentration from BGR Images in Surveillance Cameras. EGU General Assembly 2023 (April 23-28, 2023) – Vienna, Austria.

  • [46] Byun, J., Lee, J., Kim, H-J., Jun, C., 2023: Real-time Rainfall Estimation Using Binarized Rain Streak Images in Surveillance Cameras. EGU General Assembly 2023 (April 23-28, 2023) – Vienna, Austria.

  • [45] Song, Y., Kim, S., Kim, M., Jun, C., Baik, J., Cha, H., 2023: Interrelationships between Green Space, Ambient Temperature, and Air Pollution with Body Mass Index: A Nationwide Study in South Korea from 2008 to 2021. 2023 The Korean Academy of Family Medicine (대한가정의학회) (April 14-16, 2023) – Suwon, Korea.

  • [44] Bateni, S.M., Tran, T.T.K., Mohebzadeh, H., Jun, C., Giambelluca, T.W., 2022: Spatiotemporal Imputation of MODIS Normalized Difference Vegetation Index (NDVI) Data Using Machine Learning Techniques. AGU Fall Meeting (December 12-16, 2022) – Chicago, The United States.

  • [43] Kim, H-J., Baik, J., Cha, H., Lee, J., Jun, C., 2022: A Role of Water Vapor from the Atmospheric River on Precipitation Development. AGU Fall Meeting (December 12-16, 2022) – Chicago, The United States.Ø  [42] Lee, J., Hwang, S., Baik, J., Kim, H-J., Jun, C., 2022: A Rhapsody in the Rain: Sound, Drop Size Distribution, and Rain Rate. AGU Fall Meeting (December 12-16, 2022) – Chicago, The United States.

  • [42] Lee, J., Hwang, S., Baik, J., Kim, H-J., Jun, C., 2022: A Rhapsody in the Rain: Sound, Drop Size Distribution, and Rain Rate. AGU Fall Meeting (December 12-16, 2022) – Chicago, The United States

  • [41] Sung, J., Baik, J., Kim, H-J., Jun, C., 2022: An Investigation of Long-term Variations in Carbon and Water Cycles Using Remote Sensing Datasets: Focusing on Constructed Wetlands in the Korean Peninsula. AGU Fall Meeting (December 12-16, 2022) – Chicago, The United States.

  • [40] Narimani, R., Jun, C., Bateni, S.M., Nezhad, S.M., Byun, J., Cha, H., 2022: A GIS-Ensemble Machine Learning Model for Identification of Flood-prone Areas. AGU Fall Meeting (December 12-16, 2022) – Chicago, The United States.

  • [39] Khoshkam, H., Valipour, M., Bateni, S.M., Jun, C., 2022: Multi-step Ahead Daily Reference Evapotranspiration Forecasting by Hybrid Machine Learning and Deep Learning Models in Different Climate Regions Across the Contiguous United States. AGU Fall Meeting (December 12-16, 2022) – Chicago, The United States.

  • [38] Cha, H., Baik, J., Kim, J., Lee, J., Byun, J., Park, K., Sung, J., Hwang, S., Jun, C., 2022: An Investigation on the Relationship between Integrated Water Vapor and Standardized Precipitation Index: A Case Study of the Northern Part of Africa. The MedGU Annual Meeting (November 27-30, 2022) – Marrakech, Morocco.

  • [37] Lee, J., Yoo, C., Jun, C., 2022: Investigating the Relationship between Flow Fluctuation and Basin Characteristics of the Dam Basins. The 2022 World Congress on Advances in Civil, Environmental, & Materials Research (ACEM22) (August 16-19, 2022) – Seoul, Korea.

  • [36] Lee, J., Baik, J., Byun, J., Park, K., Jun, C., 2022: Assessment of Probability Precipitation Using High Resolution Precipitation Dataset in Korean Peninsula. Water Safety Conference 2022 (June 22-24, 2022) – Narvik, Norway.

  • [35] Moghmi Nezhad, S., Jun, C., Narimani, R., Byun, J., Baik, J., Lee, J., 2022: Investigating Roles of Baseflow on Water Level in Lake Urmia, Iran. EGU General Assembly 2022 (May 23-27, 2022) – Vienna, Austria.

  • [34] Moghmi Nezhad, S., Jun, C., Parisouj, P., Narimani, R., 2022: Uncertainty Evaluation of Baseflow Separation Filter Methods: A Case Study of the Urmia Lake Basin in Iran. 2022 Korea Water Resources Association Conference (May 19-20, 2022) – Busan, Korea.

  • [33] Narimani, R., Jun, C., Moghmi Nezhad, S., Parisouj, P., 2022: Investigating the Performance of Different Decomposition Methods in Rainfall Prediction from LightGBM Algorithm. 2022 Korea Water Resources Association Conference (May 19-20, 2022) – Busan, Korea.

  • [32] Parisouj, P., Jun, C., Moghmi Nezhad, S., Narimani, R., 2022: Runoff Prediction from Machine Learning Models Coupled with Empirical Mode Decomposition: A Case Study of the Grand River Basin in Canada. 2022 Korea Water Resources Association Conference (May 19-20, 2022) – Busan, Korea.

  • [31] Lee, S., Yang, Y., Ibrahim, M.A., Jun, C., Lim, E.G., Zhai, Y., 2021: Design on Smart Grid and Irrigation Management: Based on Information Sharing. 18th International SoC Design Conference (ISOCC) (October 6-9, 2021) – Jeju Island, Korea.

  • [30] Jun, C., Cha, J., Lee, S., Chen, M., 2021: Recurrent Neural Network for Rainfall Analysis and Prediction. IWRA’s XVII World Water Congress (September 13-17, 2021) – Daegu, Korea.

  • [29] Narimani, R., Jun, C., 2021: Multilayer Perceptron Neural Networks for Peak Rainfall Prediction. Asia Oceania Geosciences Society (AOGS) 18th Annual Meeting (AOGS 2021) (August 1-6, 2021) – Online Conference.

  • [28] Byun, J., Jun, C., 2021: Image-based Rainfall Prediction from A Novel Deep Learning Method. 2021 Korea Water Resources Association Conference (June 3-4, 2021), Korea.

  • [27] Narimani, R., Jun, C., 2021: Future Predictions of Rainfall Data by Artificial Neural Network Using Meteorological Parameters. 2021 Korea Water Resources Association Conference (June 3-4, 2021), Korea.

  • [26] Narimani, R., Jun, C., 2021: Multilayer Perceptron Neural Networks for Estimating Missing Rainfall Data. EGU General Assembly 2021 (April 19-30, 2021) – Online Conference.

  • [25] Kwon, S., Jun, C., Park, K., 2020: Review of RDII Estimation Methods with Modeling Approaches. The 3rd Water Engineering Conference (December 21-23, 2020) – Online Conference.

  • [24] Shahzad, S., Jun, C., 2020: On the Relationship between Rainfall, Water Level, and Flood Damage Cost: A Case Study of Texas, the United States. The 3rd Water Engineering Conference (December 21-23, 2020) – Online Conference.

  • [23] Narimani, R., Jun, C., 2020: A GIS-based Assessment of AHP in Flood Susceptibility Mapping: A Case Study of Seoul, Korea. The 3rd Water Engineering Conference (December 21-23, 2020) – Online Conference.

  • [22] Chen, X., Zhao, W., Zhang, Y., Jun, C., Hao, J., Tang, X., Zhai, J., 2020: Assessment on the Effectiveness of Spongy City Strategy in Managing Urban Stormwater. 2020 International Conference on Resource Sustainability – Sustainable Urbanisation in the BRI Era (icRS Urbanisation 2020) (December 13-15, 2020) – Ningbo, China.

  • [21] Chen, M., Jun, C., Woods, R., Macdonald, N., Kim, J.S., 2019: Seasonal Variation of Flood Estimates in the UK. The 38th IAHR World Congress (September 1-6, 2019) – Panama City, Panama.

  • [20] Cui, C., Jun, C., Qin, X., 2019: Impacts of Green Roofs on Urban Microclimate: Focusing on Building Layouts. EGU General Assembly 2019 (April 7-12, 2019) – Vienna, Austria.

  • [19] Jun, C., Qin, X., Lu, W., 2018: Temporal Pattern Analysis of Rainstorm Events for Supporting Rainfall Design in a Tropical City. The 11th International Conference on Urban Drainage Modelling (UDM 2018) (September 23-26, 2018) – Palermo, Italy.

  • [18] Yoon, J., Jun, C., 2018: Spatiotemporal Reanalysis of Rainfall Characteristics Using Radar Data: Landslides on the 27 July 2011 at Seoul, Korea. Asia Oceania Geosciences Society (AOGS) 15th Annual Meeting (AOGS 2018) (June 3-8, 2018) – Honolulu, Hawaii, the United States.

  • [17] Jun, C., Qin, X., 2017: A Comparison of Rainstorm Events between Historical (1777-1907) and Modern (1961-2010) Data in Seoul, Korea. Asia Oceania Geosciences Society (AOGS) 14th Annual Meeting (AOGS 2017) (August 6-11, 2017) – Singapore.

  • [16] Lu, W., Qin, X., Jun, C., 2016: Urban Flood Damage Assessment for Water Sensitivity Urban Design. The 2nd Annual International Conference on Urban Planning and Property Development (UPPD 2016) (October 10-11, 2016) – Singapore.

  • [15] Jun, C., Zhu, J.H., Cho, E., Lee, W.J., Yoo, C., 2016: Development of the Evaluation Method for Dam Water Supply Capacity Using Water Shortage Index: A Case Study of Nakdong River Basin, Korea. Asia Oceania Geosciences Society (AOGS) 13th Annual Meeting (AOGS 2016), (July 31-August 5, 2016) – Beijing, China.

  • [14] Jun, C., Yoo, C., Lee, M., Lee, W.J., 2016: A Polygonal Line Model of Dam Inflow-Storage-Design Supply and Performance Evaluation of Dam Water Supply Capacity. 2016 Korean Society of Hazard Mitigation Conference, Korea.

  • [13] Jun, C., Cho, E., Yoo, C., Tung, Y-K., 2015: Quantification of Storage Effect for Parallel/Serial Watersheds Using Linear Reservoir Model. Asia Oceania Geosciences Society (AOGS) 12th Annual Meeting (AOGS 2015) together with 7th Conference of Asia Pacific Association of Hydrology and Water Resources (APHW 2015) (August 2-7, 2015) – Singapore.

  • [12] Jun, C., Yoo, C., Lee, J., Tung, Y-K., 2015: Derivation of a Time-area Curve for an Elliptical Shaped Basin. 2015 Korean Society of Hazard Mitigation Conference, Korea.

  • [11] Jun, C., Zhu, J.H., Lee, J., Cho, E., Yoo, C., 2014: Comparison of Storage Effect in South and North Han River Basin in Korea with Concept of Storage Coefficient. Asia Oceania Geosciences Society (AOGS) 11th Annual Meeting (AOGS 2014), Japan.

  • [10] Yoo, C., Sin, J., Zhu, J.H., Jun, C., 2013: Evaluation of Flood Runoff Reduction Effect of LID (Low Impact Development) Based on the Decrease in CN: Case Studies from Gimcheon Pyeonghwa District, Korea. 12th International Conference on Computing and Control for the Water Industry (CCWI 2013), Italy.

  • [9] Sin, J., Jun, C., Yoo, C., 2013: Evaluation of Water Supply Capacity of Dams using Bivariate Frequency Analysis. 6th Conference of Asia Pacific Association of Hydrology and Water Resources (APHW 2013), Korea.

  • [8] Jun, C., Yoo, C., 2013: A Derivation of the Instantaneous Unit Hydrograph based on the Time-Area Diagram of Ellipse-Shaped Basin. 6th Conference of Asia Pacific Association of Hydrology and Water Resources (APHW 2013), Korea.

  • [7] Park, C., Jun, C., Park, C., Yoo, C., 2012: Quantification of Directional Elements in Hydrological Cycle and their Impacts on Runoff Responses. IAHR-APD 2012, Korea.

  • [6] Park, C., Park, C., Jun, C., Yoo, C., 2012: Frequency Analysis of Independent Rainfall Events and Runoff Analysis. IAHR-APD 2012, Korea.

  • [5] Jun, C., Park, C., Park, C., Yoo, C., 2012: A Study on the Applicability of the Beta Distribution Considering the Characteristics on Temporal Distribution of Rainfall in the Annual Maximum Independent Rainfall Events at Seoul from 1961 to 2010. IAHR-APD 2012, Korea.

  • [4] Jun, C., Sin, J., Park, K., Yoo, C., 2012: Analysis of Characteristics on the Conversion Factor of Fixed- to True-Interval Rainfall considering Temporal Distribution of Rainfall. Asia Oceania Geosciences Society (AOGS) - American Geophysical Union (AGU) (WPGM) Joint Assembly (AOGS 2012), Singapore.

  • [3] Yoon, J., Kim, J., Jun, C., Yoo, C., 2012: The Error Structure of the Radar Reflectivity and the Correction of the Range Dependent Error. 7th European Conference on Radar in Meteorology and Hydrology (ERAD 2012), France.

  • [2] Yoo, C., Kim, J., Yoon, J., Park, C., Park, C., Jun, C., 2011: Use of the Kalman Filter for the Correction of Mean-Field Bias of Radar Rainfall. Fifth Korea-Japan-China Joint Conference on Meteorology 2011, Korea.

  • [1] Yoo, C., Yoon, J., Kim, J., Park, C., Jun, C., 2011: A Quality Evaluation Criterion for Radar Rain Data. Weather Radar and Hydrology 2011 (WRaH 2011), United Kingdom.

Conference Papers and Presentations (in Korean)

Last Updated on November 05, 2023

  • [42] Cha, H., Baik, J., Lee, J., Park, K., Kim, H., Jun, C., 2023: Sensitivity Analysis of Emergency Water Supply Quantity for Domestic Use: Focusing on Meteorological Influencing Factors (생활용수 대상 비상용수 지원량에 대한 민감도 분석: 기상학적 영향인자를 중심으로). 2023 Korean Society of Civil Engineers Conference (October 18-20, 2023) – Yeosu-si, Korea.

  • [41] Sung, J., Baik, J., Kim, H., Hwang, S., Jun, C., 2023: A Study on the Feasibility of Complementing Missing Data in Gross Primary Productivity from the Flux Tower: Focusing on ERA5 Land Data (플럭스 타워 기반 총일차생산량 결측 자료 보정 연구: ERA5 Land 자료를 중심으로). 2023 Korean Wetlands Society (August 29-31, 2023) – Suncheon-si, Korea.

  • [40] Sung, J., Narimani, R., Baik, J., Kim, H., Hwang, S., Jun, C., 2023: AI and Big Data-based D/B Design for a Decision Support System (Preprocessing of Wetland Geospatial Data and Their Extraction from Multi-sensor-based Big Data Collection) (AI 및 빅데이터 기반 의사결정 지원시스템 D/B 설계(다중센서 기반 빅데이터 수집 및 습지 지형공간 데이터 전처리 및 산출)). 2023 Korean Wetlands Society (August 29-31, 2023) – Suncheon-si, Korea.

  • [39] Hwang, S., Baik, J., Sung, J., Kim, H., Jun, C., 2023: A Study on Grid-based Data Estimation for Photosynthetic Photon Flux Density over Korean Peninsula: Focusing on the GEO-KOMPSAT-2A (한반도 영역에 대한 격자형 광합성 광량자속밀도 산정 연구: 천리안위성 2A호를 중심으로). 2023 Korean Wetlands Society (August 29-31, 2023) – Suncheon-si, Korea

  • [38] Kim, B., Hwang, S., Sung, J., Kim, H-J., Baik, J., Jun, C., 2023: Satellite-derived High-resolution Land Cover Classification Using Machine Learning Techniques: Focusing on Inland Wetlands in Korea (머신러닝 기법을 활용한 인공위성 자료 기반 고해상도 토지피복 분류: 국내 내륙습지를 중심으로). 2023 Korea Water Resources Association Conference (May 25-26, 2023) – Goseong, Korea.

  • [37] Cha, H., Baik, J., Lee, J., Park, K., Jun, C., 2023: Unveiling the Susceptibility of Agricultural Drought Damages in Hoseo: A Profound Analysis on Sensitivity towards Impacts (호서 지역 내 농업가뭄 피해 사례들에 대한 심층 분석: 피해 민감도를 중심으로). 2023 Korea Water Resources Association Conference (May 25-26, 2023) – Goseong, Korea.

  • [36] Byun, J., Kim, H-J., Lee, J., Jun, C., 2023: Revolutionizing Rainfall Estimation through Convolutional Neural Networks Leveraging CCTV Imagery (CCTV 영상을 활용한 합성곱신경망 기반 강우강도 산정). 2023 Korea Water Resources Association Conference (May 25-26, 2023) – Goseong, Korea.

  • [35] Sung, J., Baik, J., Kim, H-J., Jun, C., 2023: Advancing Gross Primary Productivity Estimation to Super High-resolution through Remote Sensing and Machine Learning (원격탐사 및 머신러닝 기반 초고해상도 총일차생산량 산정). 2023 Korea Water Resources Association Conference (May 25-26, 2023) – Goseong, Korea.

  • [34] Hwang, S., Lee, J., Kim, H-J., Byun, J., Jun, C., 2023: Descerning the Intensity of Precipitation through Acoustic and Vibrational Analysis of Rainfall via XGBoost Algorithm (XGBoost 알고리즘을 활용한 강우의 음향 및 진동 분석 기반의 강우강도 산정). 2023 Korea Water Resources Association Conference (May 25-26, 2023) – Goseong, Korea.

  • [33] Byun, J., Lee, J., Kim, H., Jun, C., 2022: 실환경 기후 실험장 기반 CCTV 강우 이미지 데이터 베이스 구축. The 5th Water Engineering Conference (December 26-29, 2022) – Seoul, Korea.

  • [32] Park, K., Jun, C., Oh, J., 2022: 하수처리수 재이용 확대 적용을 위한 하수열에너지 활용 방안: GIS 기반의 수요처 연면적 분석 중심으로. The 5th Water Engineering Conference (December 26-29, 2022) – Seoul, Korea.

  • [31] Byun, J., Lee, J., Kim, H., Jun, C., Baik, J., 2022: CCTV 영상 기반 강우입자분포 및 강우강도 산정 연구. 2022 Korea Meteorological Society Conference (October 19-21, 2022) – Gwangju, Korea.

  • [30] Lee, S., Kim, S., Kim, M., Jun, C., Hwang, W., Song, P., Song, Y., Han, S., Cha, H., Baik, J., Kim G., 2022: 한국 성인에서 비만과 대기오염물질과의 연관성에 대한 경향 분석: 지역사회건강조사를 바탕으로. 2022 The Korean Academy of Family Medicine (대한가정의학회) (September 30 – October 2, 2022) – Seoul, Korea.

  • [29] Sung, J., Moghmi Nezhad, S., Baik, J., Kim, H., Jun, C., 2022: Health Condition Evaluation of Wetlands Using the Spatial Big Data based on Multi-sensors . 2022 Korean Wetlands Society (September 29-30, 2022) – Shinan-gun, Korea.

  • [28] Sung, J., Baik, J., Kim, H., Jun, C., 2022: 원격 탐사 기반 국내 내륙 습지 내 탄소 및 수문순환 변동성 분석. 2022 Korean Wetlands Society (September 29-30, 2022) – Shinan-gun, Korea.

  • [27] Byun, J., Jun, C., Lee, J., Kim, H., Cha, H., 2022: A Study on Data Pre-processing for Rainfall Estimation from CCTV Videos. 2022 Korea Water Resources Association Conference (May 19-20, 2022) – Busan, Korea.

  • [26] Sung, J., Lee, J., Byun, J., Park, K., Jun, C., 2022: Estimation of Peak Time and Peak Discharge Using Rational Method Considering Storage Effect . 2022 Korea Water Resources Association Conference (May 19-20, 2022) – Busan, Korea.

  • [25] Hwang, S., Baik, J., Kim, H., Byun, J., Cha, H., Jun, C., 2022: Analysis of Solar Power Generation Efficiency through Spatiotemporal Analysis of Solar Radiation on the Korean Peninsula using GK2A. 2022 Korea Water Resources Association Conference (May 19-20, 2022) – Busan, Korea.

  • [24] Lee, J., Baik, J., Byun, J., Sung, J., Jun, C., 2021: 재분석 강수 자료를 이용한 한반도 격자형 확률강수량 산정. The 4th Water Engineering Conference (December 20-23, 2021) – Online Conference.

  • [23] Baik, J., Park, K., Hwang, S., Cha, H., Jun, C., 2021: 다중 위성자료와의 비교를 통한 GK-2A LST의 활용가능성 평가. The 4th Water Engineering Conference (December 20-23, 2021) – Online Conference.

  • [22] Park, K., Jun, C., 2021: Methods for Improving Accuracy of Rainfall Prediction: Focus on the ARIMA Model. 2021 Korea Wetlands Society Conference, Korea.

  • [21] Byun, J., Jun, C., 2021: Deep Learning based Prediction for Water Quality Data in Han-River Basin. 2021 Korea Wetlands Society Conference, Korea.

  • [20] Byun, J., Jun, C., 2021: Prediction of Air Quality based on Spatio-Temporal Neural Networks from Seoul, Korea. 2021 Korean Society of Civil Engineers Conference, Korea.

  • [19] Byun, J., Eam, H., Jun, C., 2021: Rainfall Prediction with Machine Learning, Logistic and Multiple Linear Regression Analysis. 2021 Korean Society of Hazard Mitigation Conference, Korea.

  • [18] Narimani, R., Jun, C., Byun, J., Oh, J., 2020: Determination of Optimal Raingauge Location Using GIS and Spatial Analysis Techniques. 2020 Korea Wetlands Society Conference - Online Conference.

  • [17] Na, W., Jun, C., 2017: A New Method for Bivariate Frequency Analysis of Rainstorm Events. 2017 Korean Society of Hazard Mitigation Conference, Korea.

  • [16] Zhu, J.H., Jun, C., Yoo, C., Choi, H., 2014: A Study on the Regionalization and Determination of Capacity Values for Installation Location of the Infiltration and Storage Facilities. 2014 Korea Water Resources Association Conference, Korea.

  • [15] Jun, C., Zhu, J.H., Yoo, C., 2014: Development of Empirical Index for Water Yield Assessment of Dam: A Case Study on Nakdong River Basin. 2014 Korean Society of Hazard Mitigation Conference, Korea.

  • [14] Sin, J., Jun, C., Zhu, J.H., Yoo, C., 2013: Basin Characteristics and Empirical Formulas of Concentration Time and Storage Coefficient. 2013 Korean Society of Hazard Mitigation Conference, Korea.

  • [13] Jun, C., Sin, J., Yoo, C., 2013: Comparison between Annual Maximum Independent Rainfall Events Series of Modern Rain Gauge Data and Chukwooki Data with Bivariate Frequency Analysis. 2013 Korean Society of Hazard Mitigation Conference, Korea.

  • [12] Jun, C., Sin, J., Yoo, C., 2012: Development and Application of the Empirical Formulas for Estimation on the Basin Concentration Time and Storage Coefficient in Korea. 2012 Chuncheon Global Water Forum, Korea.

  • [11] Sin, J., Jun, C., Yoo, C., Zhu, J.H., 2012: Derivation of the Empirical Formulas for Estimation on the Basin Concentration Time and Storage Coefficient based on Theoretical Backgrounds: Focused on Nam River Basin. 2012 Korean Society of Civil Engineers Conference, Korea.

  • [10] Jun, C., Sin, J., Yoo, C., 2012: Application Review of Muskingum Channel Routing Model based on the Linear System Assumption. 2012 Korean Society of Civil Engineers Conference, Korea.

  • [9] Yoon, J., Yoo, C., Kim, J., Jun, C., 2012: The Error Structure of the Radar Reflectivity and the Correction of the Range Dependent Error. 2012 Korea Water Resources Association Conference, Korea.

  • [8] Jun, C., Park, C., Yoo, C., 2012: Comparative Analysis of the Results for Estimating of Design Flood using the Univariate and Bivariate Frequency Analysis. 2012 Korea Water Resources Association Conference, Korea.

  • [7] Jun, C., Yoo, C., 2012: A Study on the Methodology about Temporal Distribution of Rainfall Considering Real Hyetograph. 2012 Korean Society of Hazard Mitigation Conference, Korea.

  • [6] Jun, C., Yoo, C., 2011: A Study on Parameter Estimation of Beta Distribution considering the Characteristics on Temporal Distribution of Rainfall in the Independent Rainfall Events. 2011 Korean Society of Civil Engineers Conference, Korea.

  • [5] Park, C., Park, C., Jun, C., Yoo, C., 2011: Change Prediction of Probability Rainfalls by Climate Change. 2011 Korean Society of Environmental Engineers Conference, Korea.

  • [4] Yoo, C., Jun, C., 2011: Theoretical Expansion of Weiss Model on the Conversion Factor of Fixed- to True-Interval Rainfall: Ⅱ. Consideration on the Time Distribution of Rainfall. 2011 Korea Water Resources Association Conference, Korea.

  • [3] Yoo, C., Jun, C., 2011: Review of Nonlinear Reservoir Models for the Analysis of Reservoir Characteristics. 2011 Korean Society of Hazard Mitigation Conference, Korea.

  • [2] Yoo, C., Jun, C., 2010: Theoretical Review of the Conversion Factor of Fixed- to True-Interval Precipitation: Implementation of Weiss’ Theory. 2010 Korean Society of Civil Engineers Conference, Korea.

  • [1] Park, C., Kim, H., Jun, C., Yoo, C., 2010: Decision of the Representative Moving Direction of a Storm Event. 2010 Korean Society of Hazard Mitigation Conference, Korea.

bottom of page