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Published (in English)

Last Updated on February 15, 2023

[52] Rezaie-Balf, M., Ghaemi, A., Jun, C., Bateni, S.M., Band, S.S., 2022: Towards An Integrative, Spatially-explicit Modeling for Flash Floods Susceptibility Mapping based on Remote Sensing and Flood Inventory Data in Southern Caspian Sea Littoral, Iran. Geocarto International (in press)

[46] Zhang, G., Jun, C. (corresponding author), Yeganeh, B., Ghaemi, A., Bateni, S.M., Band, S.S., Tiefenbacher, J.P. 2022: Comparative Assessment of Fuzzy-based Intelligent System for Total Dissolved Solids Prediction in the Coastal Regions. Frontiers in Environmental Science (in press)

[51] Band, S. S., Pal, S. C., Bateni, S. M., Jun, C. (corresponding author), Saha, A., Chowdhuri, I., Tiefenbacher, J.P., Janizadeh, S., 2022: Using Computational-Intelligence Algorithms and Remote Sensing Data to Optimize the Locations of Check Dams to Control Sediment and Runoff in Kandolus Watershed, Mazandaran, Iran. Geocarto International, (in press),

[47] Paryani, S., Bordbar, M.,  Jun, C. (corresponding author), Panahi, M., Bateni, S.M., Neale, C.M.U., Moeini, H., Lee, S. 2023: Hybrid-based Approaches of the Flood Susceptibility Prediction of Kermanshah Province, Iran. Natural Hazards (in press)  

 [41] Chen, C., Seo, H.J., Jun, C., Zhao, Y., 2021: Pavement Crack Detection and Classification based on Fusion Feature of LBP and PCA with SVM. International Journal of Pavement Engineering, DOI: 10.1080/10298436.2021.1888092.

[39] Chen, C., Zhang, Q., Kashani, M.H., Jun, C. (corresponding author), Bateni, S.M., Band, S.S., Dash, S.S., Chau, K.W., 2022: Forecast of Rainfall Distribution based on Fixed Sliding Window Long Short-term Memory. Engineering Applications of Computational Fluid Mechanics, 16(1), 248-261, DOI: 10.1080/19942060.2021.2009374

[40] Ghasemi, M., Akbari, M. A., Jun, C. (corresponding author), Bateni, S. M., Zare, M., Zahedi, A., ... & Chau, K. W., 2022: Circulatory System Based Optimization (CSBO): An expert multilevel biologically inspired meta-heuristic algorithm. Engineering Applications of Computational Fluid Mechanics, 16(1), 1483-1525, DOI: 10.1080/19942060.2022.2098826

[48] Panahi, M., Khosravi, K., Golkarian, A., Roostaei, M., Barzegar, R., Omidvar, E., Rezaie, F., Saco, P.M., Sharifi, A., Jun, C., Batemi, S.M., Lee, C-W., Lee, S., 2022: A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning. Geocarto International (in press)

[36] Rezaie, F., Panahi, M., Bateni, S.M., Jun, C. (corresponding author), Neale, C., Lee, S., 2022: Novel Hybrid Models by Coupling Support Vector Regression (SVR) with meta-heuristic algorithms (WOA and GWO) for Urban Flood Risk Mapping. Natural Hazards (in press)

[35] Band, S.S., Ardabili, S., Mosavi, A., Jun, C. (corresponding author), Khoshkam, H., Moslehpour, M., 2022: Feasibility of Soft Computing Techniques for Estimating the Long-term Mean Monthly Wind Speed. Energy Reports, 8, 638-648, DOI: 10.1016/j.egyr.2021.11.247

[29] Wu, D., Jun, C., Kim, J-S., Xiong, L., Jie, C., 2022: Poleward migration of tropical cyclones and its related typological characteristics of seasonal maximum precipitation in China. International Journal of Climatology, 42(3), 1660-1669. DOI: 10.1002/joc.7326

[28] Chen, C., Seo, H.J., Jun, C., Zhao, Y., 2022: A Potential Crack Region Method to Detect Crack using Image Processing of Multiple Thresholding. Signal, Image and Video Processing (SIViP), DOI: 10.1007/s11760-021-02123-w

[23] Narimani, R., Jun, C. (corresponding author), Shahzad, S., Oh, J., Park, K., 2021: Application of A Novel Hybrid Method for Flood Susceptibility Mapping with Satellite Images: A Case Study of Seoul, Korea. Remote Sensing, 13(14), 2786, DOI: 10.3390/rs13142786

[24] Jun, C., Qin, X., Chen, M., Seo, H.J., 2021: Investigating Event-based Temporal Patterns of Design Rainfall in a Tropical Region. Hydrological Sciences Journal (in press

[22] Yoo, C., Doan, H.P., Jun, C., Na, W., 2021: Hillslope Contribution to the Clark Instantaneous Unit Hydrograph: Application to the Seolmacheon Basin, Korea. Water, 13(12), 1707, DOI: 10.3390/w13121707.

[27] Zhang, Y., Wu, C., Pat J.-F. Yeh, Li, J., Hu, B.X., Feng, P., Jun, C., 2022: Evaluation and Comparison of Precipitation Estimates and Hydrologic Utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR Products in Various Climate Regimes. Atmospheric Research, 265, 105881, DOI: 10.1016/j.atmosres.2021.105881

[25] Zhang, G., Band S.S., Jun, C. (corresponding author), Bateni, S.M., Chuang, H-M., Turabieh, H., Mafarja, M., Mosavi, A., Moslehpour, M., 2021: Solar Radiation Estimation in Different Climates with Meteorological Variables Using Bayesian Model Averaging and New Soft Computing Models. Energy Reports, 7, 8973-8996, DOI: 10.1016/j.egyr.2021.10.117

[26] Kim, S., Na, W., Jun, C. (corresponding author), Seo, H., Kim, Y., 2021: Hydrological Performance of Green Roof Systems: Numerical Investigation. Frontiers in Environmental Science, 9, 806697, DOI: 10.3389/fenvs.2021.806697

[30] Ghiasi, B., Yuanbin, S., Noori, R., Sheikhian, H., Zeynolabedin, A., Jun, C., Hamouda, M., Bateni, S.M., Abolfathi, S., 2022: Uncertainty Quantification of Granular Computing-Neural Network Model for Prediction of Pollutant Longitudinal Dispersion Coefficient in Aquatic Streams. Scientific Reports, 12, 4610, DOI: 10.1038/s41598-022-08417-4

[31] Karami, H., DadrasAjirlou, Y., Jun, C. (Corresponding author), Bateni, S. M., Band, S. S., Mosavi, A., ... & Chau, K. W., 2022: A novel approach for estimation of sediment load in Dam reservoir with hybrid intelligent algorithms. Frontiers in Environmental Science, 10, 821079, DOI: 10.3389/fenvs.2022.821079

[32] Zhang, G., Bateni, S. M., Jun, C. (Corresponding author), Khoshkam, H., Band, S. S., & Mosavi, A., 2022: Feasibility of Random Forest and Multivariate Adaptive Regression Splines for Predicting Long-Term Mean Monthly Dew Point Temperature. Frontiers in Environmental Science, 10, 826165, DOI: 10.3389/fenvs.2022.826165

[33] Parisouj, P., Mokari, E., Mohebzadeh, H., Goharnejad, H., & Jun, C.(Corresponding author)., 2022: Physics-Informed Data-driven Model for Predicting Streamflows: A Case Study of the Voshmgir Basin, Iran. Applied Sciences, 12(15), 7464, DOI: 10.3390/app12157464

[34] Noori, R., Farahani, F., Jun, C. (corresponding author), Aradpour, S., Bateni, S. M., Ghazban, F., Hosseinzadeh, M., Vesali Naseh, M.R., Abolfathi, S., 2022: A non-threshold model to estimate carcinogenic risk of nitrate-nitrite in drinking water. Journal of Cleaner Production, 363, 132432, DOI: 10.1016/j.jclepro.2022.132432

[20] Chen, M., Papadikis, K., Jun, C., 2021: An Investigation on the Non-stationarity of Flood Frequency across the UK. Journal of Hydrology, 597, DOI: 10.1016/j.jhydrol.2021.126309.

[21] Valipour, M., Bateni, S.M., Jun, C. (corresponding author), 2021: Global Surface Temperature: A New Insight. Climate, 9(5), 81, DOI: 10.3390/cli905008.

 [18] Yoo, C., Jun, C., Zhu, J.H., Na, W., 2021: Evaluation of Dam Water-Supply Capacity in Korea Using the Water-Shortage Index. Water, 13(7), 956, DOI: 10.3390/w13070956.

 [19] Jun, C., Yoo, C., 2021: Relative Roles of Time-Area Curve and Storage Coefficient on the Shape of the Clark’s Instantaneous Unit Hydrograph: Analytical Approach. Journal of Hydrologic Engineering, ASCE, 26(3), 06021001, DOI: 10.1061/(ASCE)HE.1943-5584.0002058.

[17] Zhang, Y., Zhao, W., Chen, X., Jun, C., Hao, J., Tang, X., Zhai J., 2021: Assessment on the Effectiveness of Urban Stormwater Management. Water, 13(1), 4, DOI: 10.3390/w13010004.

[37] Osmani, S.A., Kim, J-S., Jun, C. (corresponding author)., Wahiduzzaman, M., Baik, J., Lee, J. 2022: Prediction of Monthly Dry Days with Machine Learning Algorithms: A Case Study in Northern Bangladesh. Scientific Reports, 12, 19717, DOI: 10.1038/s41598-022-23436-x

[38] Du, B., Mao, K., Bateni, S.M., Meng, F., Shi, J., Jun, C.. 2022: A Novel Fully Coupled Physical-Statistical-Deep Learning Method for Retrieving Near-surface Air Temperature from Multisource Data. Remote Sensing, 14, 5812, DOI: 10.3390/rs14225812

[42] Chen, M., Papadikis, K., Jun, C., Macdonald, N. 2023: Linear, Nonlinear, Parametric and Nonparametric Regression Models for Non-stationary Flood Frequency Analysis. Journal of Hydrology, 616, 128772, DOI: 10.1016/j.jhydrol.2022.128772

 [43] Lee, J., Byun, J., Baik, J., Jun, C., Kim, H-J. 2023: Estimation of Raindrop Size Distribution and Rain Rate with Infrared Surveillance Camera in Dark Conditions. Atmospheric Measurement Techniques (AMT), 16(3), 707-725, DOI: 10.5194/amt-16-707-2023

[44] Vosoughifar, H., Khoshkam, H., Bateni, S.M., Jun, C. (corresponding author), Xu, T., Band, S.S., Neale, C.M.U. 2023: Estimation of Daily Reference Evapotranspiration from Limited Climatic Variables in Coastal Regions. Hydrological Sciences Journal, 68(1), 91-107, DOI: 10.1080/02626667.2022.2142473

[45] Riazi, M., Khosravi, K., Shahedi, K., Ahmad, S., Jun, C. (corresponding author)., Bateni, S.M., Kazakis, N. 2023: Enhancing Flood Susceptibility Modeling Using Multi-temporal SAR Images, CHIRPS Data, and Hybrid Machine Learning Algorithms. Science of The Total Environment, 871, 162066, DOI: 10.1016/j.scitotenv.2023.162066

[49] Parisouj, P., Mohammadzadeh Khani, H., Islam Md F., Jun, C, (corresponding author)., Bateni, S.M., Kim, D. 2023: AI-based Runoff Simulation based on Remote Sensing Observations: A Case Study of Two River Basins in the United States and Canada. Journal of the American Water Resources Association (in press)

[50] Narimani, R., Jun, C. (corresponding author), Saedi, A., Bateni, S.M., Oh, J. 2023: A Multivariate Decomposition-Ensemble Model for Estimating Long-term Rainfall Dynamics. Climate Dynamics (in press)

[16] Choi, J-H., Jun, C., Liu, P., Kim, J-S., Moon, Y-I., 2020: Resolving Emerging Issues with Aging Dams under Climate Change Projections. Journal of Water Resources Planning and Management, ASCE, 146(5), 04020025, DOI: 10.1061/(ASCE)WR.1943-5452.0001204.

[14] Lu, W., Qin, X., Jun, C., 2019: A Parsimonious Framework of Evaluating WSUD Features in Urban Flood Mitigation. Journal of Environmental Informatics, 33(1), pp. 17-27, DOI: 10.3808/jei.201700373.

[12] Yoo, C., Park, M., Kim, H.J., Jun, C., 2018: Comparison of Annual Maximum Rainfall Events of Modern Rain Gauge Data (1961-2010) and Chukwooki Data (1777-1910) in Seoul, Korea. Journal of Water and Climate Change, 9(1), pp. 58-73, DOI: 10.2166/wcc.2017.110.

[11] Jun, C., Qin, X., Gan, T.Y., Tung, Y-K., De Michele, C., 2017: Bivariate Frequency Analysis of Storm Intensity and Duration for Urban Stormwater Infrastructure Design. Journal of Hydrology, 553, pp. 374-383, DOI: 10.1016/j.jhydrol.2017.08.004.

[15] Jun, C., Qin, X., Tung, Y-K., De Michele, C., 2020: On the Statistical Analysis of Rainstorm Events between Historical (1777-1907) and Modern (1961-2010) Periods in Seoul, Korea. International Journal of Climatology, 40(4), pp. 2078-2090, DOI: 10.1002/joc.6319.

[13] Jun, C., Qin, X., Tung, Y-K., De Michele, C., 2018: Storm-event based Frequency Analysis Method. Hydrology Research, 49(3), pp. 700-710, DOI: 10.2166/nh.2017.175.

[10] Yoo, C., Jun, C. (corresponding author), 2017: Broken-Line Model of Dam Storage and Evaluation of Water Supply Safety Using a Bivariate Frequency Analysis. Journal of Water Resources Planning and Management, ASCE, 143(10), 05017011, DOI: 10.1061/(ASCE)WR.1943-5452.0000829.

[9] Yoo, C., Jun, C. (corresponding author), De Michele, C., Lee, M., 2017: Storage Coefficient of Merged Subbasins. Journal of Hydrologic Engineering, ASCE, 22(8), 06017003, DOI: 10.1061/(ASCE)HE.1943-5584.0001524.

[8] Yoo, C., Jun, C., Lee, J., 2017: Storage Effect of Dam Reservoirs: Evaluation of Three Nonlinear Reservoir Models. Water Science & Technology: Water Supply, 17(5), pp. 1436-1446, DOI: 10.2166/ws.2017.008.

[7] Park, M., Yoo, C., Jun, C., 2017: Consideration of Documentary Records in the Annals of the Choson Dynasty for the Frequency Analysis of Rainfall in Seoul, Korea. Meteorological Applications, 24(1), pp. 31-42, DOI: 10.1002/met.1602.

[6] Yoo, C., Ku, J.M., Jun, C., Zhu, J.H., 2016: Simulation of Infiltration Facilities Using the SEEP/W Model and Quantification of Flood Runoff Reduction Effect by the Decrease in CN. Water Science & Technology, 74(1), pp. 118-129, DOI: 10.2166/wst.2016.189.

[5] Yoo, C., Park, C., Jun, C. (corresponding author), 2016: Evaluation of the Concept of Critical Rainfall Duration by Bivariate Frequency Analysis of Annual Maximum Independent Rainfall Event Series in Seoul, Korea. Journal of Hydrologic Engineering, ASCE, 21(1), 05015016, DOI: 10.1061/(ASCE)HE.1943-5584.0001259.

[4] Yoo, C., Jun, C., Park, C., 2015: Effect of Rainfall Temporal Distribution on the Conversion Factor to Convert the Fixed-Interval into True-Interval Rainfall. Journal of Hydrologic Engineering, ASCE, 20(10), 04015018, DOI: 10.1061/(ASCE)HE.1943-5584.0001178.

[3] Yoo, C., Park, M., Kim, H., Choi, J., Sin, J., Jun, C., 2015: Classification and Evaluation of the Documentary-Recorded Storm Events in the Annals of the Choson Dynasty (1392-1910), Korea. Journal of Hydrology, 520, pp. 387-396, DOI: 10.1016/j.jhydrol.2014.11.023.

[1] Yoo, C., Lee, J., Park, C., Jun, C. (corresponding author), 2014: Method for Estimating Concentration Time and Storage Coefficient of the Clark Model using Rainfall-Runoff Measurements. Journal of Hydrologic Engineering, ASCE, 19(3), pp. 626-634, DOI: 10.1061/(ASCE)HE.1943-5584.0000828.

[2] Park, M., Yoo, C., Kim, H., Jun, C., 2014: Bivariate Frequency Analysis of Annual Maximum Rainfall Event Series in Seoul, Korea. Journal of Hydrologic Engineering, ASCE, 19(6), pp. 1080-1088, DOI: 10.1061/(ASCE)HE.1943-5584.0000891.

Published (in Korean)

[7] Jun, C., Yoo, C., Zhu, J.H., Lee, G-M., 2014: Bivariate Frequency Analysis of Dam Storage Capacity before and after the Rainy Season and Evaluation on Water Supply Capacity. Journal of Korea Water Resources Association, 47(12), pp. 1199-1212, DOI: 10.3741/JKWRA.2014.47.12.1199.

[6] Yoo, C., Sin, J., Jun, C. (corresponding author), 2013: Parameter Decision of Muskingum Channel Routing Method based on the Linear System Assumption. Journal of Korea Water Resources Association, 46(5), pp. 449-463, DOI: 10.3741/JKWRA.2013.46.5.449.

[5] Jun, C., Yoo. C., 2013: Analysis on the Characteristics about Representative Temporal-distribution of Rainfall in the Annual Maximum Independent Rainfall Events at Seoul using Beta Distribution. Journal of Korea Water Resources Association, 46(4), pp. 361-372, DOI: 10.3741/JKWRA.2013.46.4.361.

[4] Park, C., Yoo, C., Jun, C. (corresponding author), 2012: Bivariate Rainfall Frequency Analysis and Rainfall-runoff Analysis for Independent Rainfall Events. Journal of Korea Water Resources Association, 45(7), pp. 713-727, DOI: 10.3741/JKWRA.2012.45.7.713.

[3] Jun, C., Yoo, C., 2012: Application of the Beta Distribution for the Temporal Quantification of Storm Events. Journal of Korea Water Resources Association, 45(6), pp. 531-544, DOI: 10.3741/JKWRA.2012.45.6.531.  

[2] Yoo, C., Jun, C., 2011: Improvement of Weiss Model on the Conversion Factor of Fixed- to True-interval Rainfall. Journal of the Korean Society of Civil Engineers, 31(4B), pp. 315-322.

[1] Yoo, C., Jun, C. (corresponding author), 2011: Evaluation of Reservoir Storage Effect using Non-linear Reservoir Model. Journal of Korea Water Resources Association, 44(5), pp. 407-416, DOI: 10.3741/JKWRA.2011.44.5.407.

[8] Lee, J-H., Park, K-H., Jun, C., Oh, J., 2021: Risk Assessment for Inland Flooding in a Small Urban Catchment: Focusing on the Temporal Distribution of Rainfall and Dual Drainage Model. Journal of Korean Society of Water & Wastewater, 35(6), pp. 389-403, DOI: 10.11001/jksww.2021.35.6.389.

[9] Lee, J., Byun, J., Hwang, S., Jun, C., Baik, J., 2022: Spatiotemporal Analysis of Variability in Domestic PM 10 Data Using Grid Based Spatial Interpolation Method, Journal of Korean Society of Hazard Mitigation, 22(1), pp. 7-19, DOI: 10.9798/KOSHAM.2022.22.1.7

[10] Lee, J., Jun, C., Kim, H., Byun, J., Baik, J., 2022: Estimation of Grid-type Precipitation Quantile Using Satellite based Re-analysis Precipitation Data in Korean Peninsula,  Journal of Korea Water Resources Association, 55(6), pp. 447-459, DOI: 10.3741/JKWRA.2022.55.6.447

[11] Baek, J., Park, J., Jun, C., Lee, J., 2022: Adequacy of the GK-2A AMI Land Surface Temperature Product According to Geographic Factors and Compared with Other Satellite Products (MODIS and S-VIRRS), Journal of the Korean Society of Hazard Mitigation, 22(3), 15-23, DOI: 10.9798/KOSHAM.2022.22.3.15

 [12] Moon, K., Jeong, Y., Jun, C., Joo, J., Yoo, D., 2022: Cluster Analysis of Drought Damage to Local Governments Across the Country Using the National Drought Information Statistics. Journal of the Korean Society of Hazard Mitigation, 22(6), pp. 293-300, DOI: 10.9798/KOSHAM.2022.22.6.293.

Under Review (in English)

 [32] Hai, T., Gharehbaghi, A., Jun, C., Bateni, S.M., Li, H., Band, S.S., Gupta, B.B. 2023: Development of a Novel Hybrid ETs-HGS Model for Estimation of Daily Reference Evapotranspiration. Applied Water Science

 [33] Riahi-Madvar, H., Jun, C., Bateni, S.M., Khan, A.A., Dehghani, M., Band, S.S., Chau, K-W., Mosavi, A. 2023: Feasibility of One-dimensional Simulation of Dam Break via a Novel Finite Volume Scheme. Journal of Hydroinformatics

[33] Riahi-Madvar, H., Jun, C., Bateni, S.M., Khan, A.A., Dehghani, M., Band, S.S., Chau, K-W., Mosavi, A. 2023: Feasibility of One-dimensional Simulation of Dam Break via a Novel Finite Volume Scheme. Journal of Hydroinformatics

[24] Chen, M., Papadikis, K., Jun, C., Macdonald, N., 2022: Linear, Nonlinear, Parametric and Nonparametric Regression Models for Non-stationary Flood Frequency Analysis. Journal of Hydrology

[18] Noori, R., Woolway, R.L., Jun, C. (corresponding author), Bateni, S.M., Maghrebi, M., Merja, P. 2022: Multi-decadal Change in Summer Mean Water Temperature in Lake Konnevesi, Finland (1984 - 2021). Limnology

[23] GhayurSadigh, A., Asghar Alesheykh, A., Rezaie, F., Jun, C., Neilson, J.R., Bateni, S.M., Lee, S., 2022: Landslide Susceptibility Assessment: Comparison of Machine Learning Models. Stochastic Environmental Research and Risk Assessment

[19] Valipour, M., Afifi, A., Bateni, S.M., Jun, C. (corresponding author), Deenik, J. 2022: Forecasting Daily Reference Evapotranspiration Using the Non-linear Autoregressive Artificial Neural Network and Time Series Approaches. Journal of Hydrology: Applied Water Science

[20] Narimani, R., Jun, C. (corresponding author), De Michele, C., Gan, T.Y., Nezhad, S.M., 2022: Multilayer Perceptron-based Predictive Model for the Reconstruction of Missing Rainfall Data. Stochastic Environmental Research and Risk Assessment

[21] Panahi, M., Dayal, K., Jun, C. (corresponding author), Darabi, H., Kalantari, Z., Seifollahi-Aghmiuni, S., Deo, R.C., Bateni, S.M., Lee, S. 2023: Deep-learning Models for Drought Hazard Mapping in Southeast Queensland, Australia. The Egyptian Journal of Remote Sensing and Space Sciences

 [22] Kim, D., Lee, Y.O., Jun, C., Kang, S. 2023: Understanding the Way Machines Simulate Hydrologic Processes Using a Simple Structure but in a Unique Manner – A Case Study of Predicting Fine Scale Watershed Response on a Distributed Framework. Journal of Hydrology

[15] Shahid Iqbal, M., Majedul Islam, M.M., Ullah, S., Jun, C., Ourania, T., 2022: Evaluation of Future Fecal Coliform Contamination over Transboundary Rivers in a Changing Climate. Water Research

[8] Riahi-Madvar, H., Jun, C. (corresponding author), Bateni, S.M., Dehghani, M., 2021: A Novel Physical Influenced Scheme for Finite Volume Solution of Fully Dynamic Saint-Venant Equations in Dam Break Simulations. Engineering Application of Computational Fluid Mechanics

 [9] Jun, C., Narimani, R., Yeh, Pat J.-F., Kim, S.Y., 2021: The Roles of Soil Storage Change and Runoff in the Prediction of Evapotranspiration Variance in the Budyko Framework. Water Resources Research

[14] Lee, J., Byun, J., Lee, J., Jun, C. (corresponding author), Jun, H., 2022: Rain-gauge Networks for Radar Rainfall Estimates: Selection of Rain Gauge Stations. Hydrological Sciences Journal

[10] Tao, H., Mohamad Zain, J., Jun, C., Bateni, S.M., Shamshirband, S., Xuelan, Y.,  Mosavi, A., 2022: Prediction of Sugar Beet Crop Coefficient in Using Neural Network and Crow Search Optimization Algorithm. Journal of Advanced Research

[11] Nasir, M.J., Ahmad, W., Jun, C., Iqbal, J. 2023: Soil Erosion Susceptibility Assessment of Swat River Sub-watersheds Using the Morphometry-based Compound Factor Approach and GIS. Environmental Earth Sciences

[17] Mosavi, A., Jun, C. (corresponding author), Ghaemi, A., Bateni, S.M., Band, S.S., Chau, K.W. 2021: River's Suspended Sediment Load Prediction: Introducing a Decomposition and Multi-objective Evolutionary Optimization-based Model to Perform Predictive Analytics. Engineering Applications of Computational Fluid Mechanic

[5] Nezhad, S.M., Jun, C. (corresponding author), Bateni, S.M., Narimani, R., Lee, J., Baik, J., 2022: Comparison of Typical Baseflow Separation Methods: The Role of Climate Conditions and Groundwater in Urmia Lake Basin, Iran,. Journal of Hydrology: Regional Studies

[4] Jun, C., Almadani, M., Shamshirband, S., Bateni, S.M., 2021: Identifying the Potential of Flood-prone Areas based on GIS-based Ensemble Classification Model: Reduced Error Pruning Tree coupled with Classifier Algorithms. International Journal of Disaster Risk Reduction

 [3] Janizadeh, S., Bateni, S.M., Jun, C. (corresponding author), Chandra Pal, S., Chowdhuri, I., Saha, A., Tiefenbachr, J.P., 2022: Potential Impacts on Future Climate on the Spatio-temporal Variability of Landslide Hazard in Iran Using Machine Learning Algorithms and CMIP6 Climate-change Scenarios. Journal of Environmental Management

[1] Jamei, M., Jun, C., Bateni, S.M., Karbasi, M., Farooque, A.A., Yaseen, Z.M. 2023: Multi-step Ahead Hourly Forecasting of Air Quality Indices in Australia: Application of an Optical Time Varying Decomposition-based Ensemble Deep Learning Algorithm. Journal of Environmental Management

[2] Hur, J., Jun, C. (corresponding author), Lu, W., Raghavan, S.V., Shim, K-M., 2021: Uncertainty Analysis in Short-duration Rainfall Extremes of Satellite Precipitation Product for Urban Catchment in Singapore. Water

[12] Byun, J., Jun, C. (corresponding author), Cha, J., Kim, J., Narimani, R., 2022: Deep Learning-based Rainfall Prediction with Cloud Image Analysis. IEEE Transactions on Geoscience and Remote Sensing

[7] Lin, X., Kim, J-S., Jun, C. (corresponding author), Papadikis, K., 2021: Are the Current Water Tariffs for Households in China Appropriate? Water Resources and Economics

[13] Sadigh, A.G., Alesheikh, A.A., Rezaie, F., Lee, S., Jun, C., Nielson, J.R., Bateni, S.M., Panahi M., 2022: Comparison of Optimized Data-driven Models for Landslide Susceptibility Mapping. Environment, Development and Sustainability

[16] Noori, R., Ghiasi, B., Bateni, S.M., Jun, C., Salehi, S., Raeisi, A., Meysami, R., Mahdian, M., Abolfathi, S. 2022: An Efficient Data Driven-based Model for Prediction of the Total Sediment Load in Rivers. Natural Resources Research

[26] Ghazvinian, H., Karami, H., Jun, C., Francis, O., Bateni, S.M., DadrasAjirlou, Y., Band, S.S., 2022: Laboratory Comparison of Evaporation Rate between Colorado Sanken Evaporation Pan and Class A Evaporation Pan (Case Study: Semnan, Iran). Journal of Great Lakes Research

[27] Tao, H., Gharehbaghi, A., Bateni, S.M., Jun, C., Band, S.S., Tiefenbacher, J.P., Mosavi, A., 2022: Predicting the Mean Monthly River Streamflow with the Aid of Long Short-Term Memory Deep Neural Network Models with Meteorological Effect Implications. Human-centric Computing and Information Sciences

[28] Tao, H., Wang, K., Band, S.S., Bateni, S.M., Jun, C., Sivandran, G., Thendiyath, R., Mirzania, E., 2022: Modeling Reference Evapotranspiration in the Arid and Humid Regions of Australia with Emotional Neural Networks. Theoretical and Applied Climatology

[29] Ghazvinian, H., Karami, H., Jun, C., Francis, O., Bateni, S.M., Dadrasajirlou, Y., Band, S.S., Mosavi, A., 2022: Comparing the Evaporation Rates of Colorado Sanken Evaporation Pan and Class A Evaporation Pan in An Arid Area. Journal of Asian Earth Sciences

[31] Zhou, J., Wang, D., Band, S.S., Jun, C., Bateni, S.M., Moslehpour, M., Pai, H-T., Hsu, C-C., Ameri, R. 2023: Monthly River Discharge Estimation Using Hybrid Models based on Extreme Gradient Boosting Coupled with Wavelet Theory and Levy-Jaya Optimization Algorithm. Engineering Applications of Artificial Intelligence

 [30] Karbasi, M., Ali, M., Bateni, S.M., Jun, C., Jamei, M., Yaseen Z.M. 2023: Forecasting Pan Evaporation Using Different Feature Selection and Deep Learning Algorithms. Engineering Applications of Artificial Intelligence

 [34] Mao, K., Cao, M., Bateni, S.M., Jun, C., Shi, J., Du, Y., Du, G. 2022: A Granulation-based LSTM-RF Combination Model for Sea Surface Temperature Prediction. Remote Sensing of Environment

[35] Lin, X., Chen, M., Kim, J-S., Jun, C., Papadikis, K. 2023: A Survey of Urban Household Water Tariffs and Cost Recovery in China. International Journal of Water Resources Development

[36] Nia, A.M., Salvati, A., Salajegheh, A., Moradi, P., Batmani, Y., Najafi, S., Shirzadi, A., Shahabi, H., Sheikh-Akbari, A., Jun, C., Clague, J. 2023: Performance Improvement of the Linear Muskingum Flood Routing Model Using Optimization Algorithms and Data Assimilation Approaches. Natural Resources Research

Under Review (in Korean)

[1] Cha, H., Jun, C., Lee, J., Baik, J., 2023: Evaluation of Air Quality Monitoring Networks in Korea: Focusing on Wind Direction and Speed. Journal of the Korean Society of Hazard Mitigation .

Conference Papers and Presentations (in English)

  • [53] Park, K., 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.

  •  [52] Kim, H-J., Park, K., 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.

  • [51] Sung, J., Baik, J., Kim, H-J., Jun, C., 2023: A Remote Sensing-based Approach on Wetland Health Assessment in Korea. The 40th IAHR World Congress (August 21-25, 2023) – Vienna, Austria.

  • [50] 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.

  • [49] Sung, J., Baik, J., Kim, H-J., Jun, C., 2023: A Novel Approach on Spatio-temporal Data Fusion and Reconstruction for Wetland Health Assessment with A Remote Sensing Dataset: Focusing on Wetlands in Korea. EcoSummit 2023 (June 13-17, 2023) – Gold Coast, Australia.

  • [48] 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.

  • [47] 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.

  • [46] 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.

  • [45] 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.

  • [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.

  • [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)

  • [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.

Others

  • [7] 김현준, 이진욱, 백종진, 변종윤, 전창현, 2022: 산악 및 연안 지역 내 지형성 강우의 미세물리학적 발달특성: 한라산을 중심으로. 물과미래, 55(9), pp. 54-64.

  • [6] 이진욱, 김현준, 변종윤, 백종진, 전창현, 2022: CCTV를 이용한 강우입자분포 및 강우강도 산정. 물과미래, 55(6), pp. 72-81.

  • [5] 오재일, 이승식, 김동균, 전창현, 2022: 유역진단 기반의 통합적 유역관리. 한국상하수도협회소식지, 81, pp. 22-24.

  • [4] Jun, C., Qin, X., Lu, W., 2019: Temporal Pattern Analysis of Rainstorm Events for Supporting Rainfall Design in a Tropical City. Urban Drainage Modelling (UDM). Green Energy and Technology, pp. 380-384.

  • [3] Sin, J., Jun, C., Zhu, J.H., Yoo, C., 2014: Evaluation of Flood Runoff Reduction Effect of LID (Low Impact Development) based on the Decrease in CN: Case Studies from Gimcheon Pyeonghwa District, Korea, Computing and Control for the Water Industry (CCWI). Procedia Engineering, 70, pp. 1531-1538.

  • [2] Yoo, C., Yoon, J., Kim, J., Park, C., Jun, C., 2012: A Quality Evaluation Criterion for Radar Rain Rate Data, Weather Radar and Hydrology (WRaH). IAHS-AISH Publication, 351, pp. 382-387.

  • [1] Yoo, C., Jun, C., 2010: A Short Note on the Conversion Factor of Fixed- to True-Interval Precipitation. Korean Society of Civil Engineers Magazine, Vol. 43, No. 9, pp. 123-129.

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