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Last Updated on November 05, 2023

[73] Zhang, G., Jun, C. (corresponding author), Yeganeh, B., Ghaemi, A., Bateni, S.M., Band, S.S., Tiefenbacher, J.P. 2023: Comparative Assessment of Fuzzy-based Intelligent System for Total Dissolved Solids Prediction in the Coastal Regions. Frontiers in Environmental Science (in press)

[72] Noori, R., Woolway, R.L., Jun, C. (corresponding author), Bateni, S.M., Naderian, D., Partani, S., Maghrebi, M., Merja, P. 2023: Multi-decadal Change in Summer Mean Water Temperature in Lake Konnevesi, Finland (1984 - 2021). Ecological Informatics (in press)

[71] Shafapourtehrany, M., Rezaie, F., Jun, C. (corresponding author), Heggy, E., Bateni, S.M., Panahi, M., Ozener, H., Shabani, F., Moeini, H. 2023: Mapping Post-earthquake Landslide Susceptibility Using U-net, VGG-16, VGG-19, and Metaheuristic Algorithms. Remote Sensing (in press)

[70] Zhou, J., Wang, D., Band, S.S., Jun, C. (corresponding author), Bateni, S.M., Moslehpour, M., Pai, H-T., Hsu, C-C., Ameri, R. 2023 (October): Monthly River Discharge Estimation Using Hybrid Models based on Extreme Gradient Boosting Coupled with Wavelet Theory and Levy-Jaya Optimization Algorithm. Water Resources Management (in press)

[69] Valipour, M., Khoshkam, H., Bateni, S.M., Jun, C. (corresponding author). 2024 (15 March): Machine-learning-based Short-term Forecasting of Daily Precipitation in Different Climate Regions across the Contiguous United States. Expert Systems with Applications, 238(Part D), 121907, DOI: 10.1016/j.eswa.2023.121907

[68] Janizadeh, S., Bateni, S.M., Jun, C. (corresponding author), Pal, S.C., Band, S.S., Chowdhuri, I., Saha, A., Tiefenbachr, J.P., Mosavi, A. 2023 (December): Potential Impacts of Future Climate on the Spatio-temporal Variability of Landslide Susceptibility in Iran Using Machine Learning Algorithms and CMIP6 Climate-change Scenarios. Gondwana Research, 124, 1-17, DOI: 10.1016/j.gr.2023.05.003

[67] Mao, K., Cao, M., Bateni, S.M., Jun, C., Shi, J., Du, Y., Du, G. 2023: Granulation-based LSTM-RF Combination Model for Hourly Sea Surface Temperature Prediction. International Journal of Digital Earth (TJDE), 16(1), 3838-3859, DOI: 10.1080/17538947.2023.2260779

[66] Rezaie, F., Panahi, M., Bateni, S.M., Lee, S., Jun, C. (corresponding author), Trauernicht, C., Neale, C.M.U. 2023 (October): Development of Novel Optimized Deep Learning Algorithms for Wildfire Modeling: A Case Study of Maui, Hawaii. Engineering Applications of Artificial Intelligence, 125, 106699, DOI: 10.1016/j.engappai.2023.106699

[65] Salvati, A., Nia, A.M., Salajegheh, A., Moradi, P., Batmani, Y., Najafi, S., Shirzadi, A., Shahabi, H., Sheikh-Akbari, A., Jun, C., Clague, J.J. 2023 (September): Performance Improvement of the Linear Muskingum Flood Routing Model Using Optimization Algorithms and Data Assimilation Approaches. Natural Hazards, 118, 2657-2690, DOI: 10.1007/s11069-023-06113-8

[64] Parisouj, P., Jun, C. (corresponding author)., Bateni, S.M., Heggy, E., Band, S.S. 2023 (21 August - online): Machine Learning Models coupled with Empirical Mode Decomposition for Simulating Monthly and Yearly Streamflows: A Case Study of Three Watersheds in Ontario, Canada. Engineering Applications of Computational Fluid Mechanics, 17(1), DOI: 10.1080/19942060.2023.2242445

[63] Lee, J., Moon, G., Lee, J., Jun, C., Choi, J., 2023 (17 August): Evaluation of Methods for Estimating Long-term Flow Fluctuations Using Frequency Characteristics from Wavelet Analysis. Water, 15(16), 2968, DOI: 10.3390/w15162968

[62] Tran, T.T.K., Bateni, S.M., Rezaie, F., Panahi, M., Jun, C. (corresponding author), Trauernicht, C., Neale, C.M.U. 2023 (15 August): Enhancing Predictive Ability of Optimized Group Method of Data Handling (GMDH) Method for Wildfire Susceptibility Mapping. Agricultural and Forest Meteorology, 339, 109587, DOI: 10.1016/j.agrformet.2023.109587

[52] Narimani, R., Jun, C. (corresponding author), De Michele, C., Gan, T.Y., Byun, J. 2023 (31 May): Multilayer Perceptron-based Predictive Model Using Wavelet Transform for the Reconstruction of Missing Rainfall Data. Stochastic Environmental Research and Risk Assessment, DOI: 10.1007/s00477-023-02471-8

[53] Valipour, M., Khoshkam, H., Bateni, S.M., Jun, C. (corresponding author), Band, S.S. 2023 (1 June): Hybrid Machine Learning and Deep Learning Models for Multi-step-ahead Daily Reference Evapotranspiration Forecasting in Different Climate Regions across the Contiguous United States. Agricultural Water Management, 283, 108311, DOI: 10.1016/j.agwat.2023.108311

[54] Nasir, M.J., Ahmad, W., Jun, C., Iqbal, J. 2023 (7 June): Soil Erosion Susceptibility Assessment of Swat River Sub-watersheds Using the Morphometry-based Compound Factor Approach and GIS. Environmental Earth Sciences, 82, 315, DOI: 10.1007/s12665-023-10982-4

[55] Kim, D., Lee, Y.O., Jun, C., Kang, S. 2023 (15 June): Understanding the Way Machines Simulate Hydrologic Processes – A Case Study of Predicting Fine-scale Watershed Response on a Distributed Framework. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-18, DOI: 10.1109/TGRS.2023.3285540

[56] Narimani, R., Jun, C. (corresponding author), Nezhad, S.M., Bateni, S.M., Lee, J., Baik, J. 2023 (June): The Role of Climate Conditions and Groundwater on Baseflow Separation in Urmia Lake Basin, Iran. Journal of Hydrology: Regional Studies, 47, 101383, DOI: 10.1016/j.ejrh.2023.101383

[57] Jamei, M., Ali, M., Jun, C. (corresponding author), Bateni, S.M., Karbasi, M., Farooque, A.A., Yaseen, Z.M. 2023 (June): Multi-step Ahead Hourly Forecasting of Air Quality Indices in Australia: Application of an Optical Time-varying Decomposition-based Ensemble Deep Learning Algorithm. Atmospheric Pollution Research, 14(6), 101752, DOI: 10.1016/j.apr.2023.101752

[58] Sadigh, A.G., Alesheikh, A.A., Bateni, S.M., Jun, C. (corresponding author)., Lee, S., Nielson, J.R., Panahi M., Rezaie, F. 2023 (12 April – online): Comparison of Optimized Data-driven Models for Landslide Susceptibility Mapping. Environment, Development and Sustainability (in press)

[59] Janizadeh, S., Bateni, S.M., Jun, C. (corresponding author), Im, J., Pai, H-T., Band, S.S. Mosavi, A. 2023 (9 May - online): Combination Four Different Ensemble Algorithms with the Generalized Linear Model (GLM) for Predicting Forest Fire Susceptibility. Geomatics, Natural Hazards and Risk, 14(1), 2206512, DOI: 10.1080/19475705.2023.2206512

[60] Na, W., Jun, C., Kim, S.Y. 2023 (11 July): Influence of Rainfall Pattern on Wetness Index for Infinite Slope Stability Analysis. Water, 15(14), 2535, DOI: 10.3390/w15142535

[61] Narimani, R., Jun, C. (corresponding author), Saedi, A., Bateni, S.M., Oh, J. 2023 (August): A Multivariate Decomposition-Ensemble Model for Estimating Long-term Rainfall Dynamics. Climate Dynamics, 61, 1625-1641, DOI: 10.1007/s00382-022-06646-x

[46] Vosoughifar, H., Khoshkam, H., Bateni, S.M., Jun, C. (corresponding author), Xu, T., Band, S.S., Neale, C.M.U. 2023 (January): 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

[51] 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

[47] 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

 [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] Paryani, S., Bordbar, M., Jun, C. (corresponding author), Panahi, M., Bateni, S.M., Neale, C.M.U., Moeini, H., Lee, S. 2023 (March): Hybrid-based Approaches of the Flood Susceptibility Prediction of Kermanshah Province, Iran. Natural Hazards, 116, 837-868, DOI: 10.1007/s11069-022-05701-4

[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 Flood Susceptibility Mapping. Natural Hazards, 114, 1247-1283, DOI: 10.1007/s11069-022-05424-6

[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, 66(13), pp. 1986-1996, DOI: 10.1080/02626667.2021.1967958

[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] 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, 37(26), 14065-14087, DOI: 10.1080/10106049.2022.2086631

 [43] 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, 37(26), 12966-12988, DOI: 10.1080/10106049.2022.2076909

[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] 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

[49] Byun, J., Jun, C. (corresponding author), Kim, J., Cha, J., Narimani, R., 2023 (3 April): Deep Learning-based Rainfall Prediction Using Cloud Image Analysis. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-11, DOI: 10.1109/TGRS.2023.3263872

[50] Parisouj, P., Mohammadzadeh Khani, H., Islam Md F., Jun, C, (corresponding author)., Bateni, S.M., Kim, D. 2023 (April): 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, 59(2), 299-316, DOI: 10.1111/1752-1688.13098

[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.

[13] 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 (한국방재학회논문집), 23(2), pp. 1-13, DOI: 10.9798/KOSHAM.2023.23.2.1.

[14] Byun, J., Jun, C., Kim, H-J., Lee, J.J., Park, H., Lee, J., 2023: Rainfall Image DB Construction for Rainfall Intensity Estimation from CCTV Videos: Focusing on Experimental Data in a Climatic Environment Chamber. Journal of Korea Water Resources Association, 56(6), pp. 403-417, DOI: 10.3741/JKWRA.2023.56.6.403.

Under Review (in English)

[34] Zhu, J., Moon, H., Zhang, L., Jun, C., Kim, J-S. 2023: Analysis of Tropical Cyclone-Induced Rainfall: Remote Sensing Metrics of Typhoon Path Similarity. Remote Sensing

[35] Osmani, S.A., Baik, J., Narimani, R., Kim, J-S., Jun, C. (corresponding author).. 2024: Quantification of Interactions among Agricultural Drought Indices within Koppen-Geiger Climate Zones in Bangladesh. Agricultural Water Management

[36] Lee, J., Na, W., Jun, C., Hwang, S-H., Yoon, J., Choi, J., Kim, H-J. 2024: Assessment of Variation in Quantitative Precipitation Estimation Accuracy with Altitude Using Micro Rain Radar in South Korea. Journal of Hydrology

[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

[20] Karbasi, M., Ali, M., Bateni, S.M., Jun, C. (corresponding author)., Jamei, M., Yaseen, Z.M. 2023: Multistep Ahead Forecasting of Electrical Conductivity in Rivers by Using a Hybrid Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) Model Enhanced by Boruta-XGBoost Feature Selection Algorithm. Journal of Cleaner Production

[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

[21] Panahi, M., Dayal, K., Jun, C. (corresponding author), Darabi, H., Kalantari, Z., Seifollahi-Aghmiuni, S., Deo, R.C., Bateni, S.M., Lee, S. 2022: Deep-learning Models for Drought Hazard Mapping in Southeast Queensland, Australia. The Egyptian Journal of Remote Sensing and Space Sciences

[22] Osmani, S.A., Jun, C. (corresponding author)., Baik, J., Lee, J., Narimani, R. 2023: Wavelet-based Precipitation Precipitation Preprocessing for Improved Drought Forecasting: A Machine Learning Approach Using Tunable Q-factor Wavelet Transform and Maximum Overlap Discrete Wavelet Transform. Engineering Applications of Artificial Intelligence

[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

[24] Chen, M., Papadikis, K., Macdonald, N., Lin, X., Jun, C., 2023: River Flow Forecasting Using an Interpretable Hybrid Deep Learning-based Model. Journal of Hydrology

[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. Applied Water Science

[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

[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

[30] Karbasi, M., Ali, M., Bateni, S.M., Jun, C., Jamei, M., Yaseen Z.M. 2022: Forecasting Pan Evaporation Using Different Feature Selection and Deep Learning Algorithms. Engineering Applications of Artificial Intelligence

[31] Khosravi, K., Deo, R.C., Jun, C. (corresponding author)., Bateni, S.M., Heddam, S., Ali, M., Singh, S.K. 2023: Multistep Hourly based Significant Wave Height Forecasting Using Reduced Error Pruning Tree Reinforced with Weighted Instances Handler Wrapper Algorithms: A Case Study of Queensland’s Wave Energy Hub. Renewable Energy

[33] Song, Y., Cha, H., Baik, J., Jun, C. (corresponding author)., Kim, S., Kim, M., Jung, S-Y. 2023: Associations Among Green Spaces, Ambient Temperature, Air Pollution, and Body Mass Index: A Nationwide Study in South Korea from 2008 to 2021. Environment International

[32] Hai, T., Gharehbaghi, A., Jun, C., Bateni, S.M., Li, H., Band, S.S., Gupta, B.B. 2022: Development of a Novel Hybrid ETs-HGS Model for Estimation of Daily Reference Evapotranspiration. Applied Water Science

[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

[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

[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

[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] Lin, X., Chen, M., Kim, J-S., Jun, C. (corresponding author)., Papadikis, K. 2023: Challenges and Progress in Water Price Reform in China: An Analysis of Urban Household Tariffs. H2Open Journal

[5] Riahi-Madvar, H., Jun, C., Bateni, S.M., Khan, A.A., Dehghani, M., Band, S.S., Chau, K-W., Mosavi, A. 2022: Feasibility of One-dimensional Simulation of Dam Break via a Novel Finite Volume Scheme. Journal of Hydroinformatics

[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] 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

[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] Rather, A.F., Ahmed, R., Bateni, S.M., Ahmed, P., Jun, C., Mir, R.A. 2023: Understanding Glacial Lake Evolution and the Associated GLOF Hazard in the Shyok Catchment of the Upper Indus Basin Using Geospatial Techniques. Journal of Cleaner Production

[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] Khosravi, K., Deo, R.C., Jun, C., Bateni, S.M., Heddam, S., Ali, M., Singh, S.K. 2023: Multistep Hourly based Significant Wave Height Forecasting using Reduced Error Pruning Tree Reinforced with Weighted Instances Handler Wrapper Algorithms, A Case Study of Queensland’s Wave Energy Hub. Journal of Cleaner Production

Under Review (in Korean)

[1] Cha, H., Lee, J., Jun, C., Byun, J., Baik, J., 2023: A Comprehensive Analysis of Temporal Patterns in Independent Rainstorm Events with the Secondary Peak Constant: Focusing on Peak Rainfalls at Different Rain-gauge Stations in Seoul, Korea. Journal of Korea Water Resources Association

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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