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In this study, we conducted flood mapping of a hypothetical dam break by coupling the Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) and River Analysis System (HEC-RAS) models under different return periods of flood inflow. This study is presented as a case study on the Kesem embankment dam in Ethiopia. Hourly hydrological and meteorological data and high-resolution land surface datasets were used to simulate the design floods for piping dam failure with empirical dam breach methods. Based on the extreme inflows and the dam physical characteristics, the dam failure was simulated by a two-dimensional, unsteady flow hydrodynamic model. As a result, the dam will remain safe for up to 50-year return-period inflows, but it breaks for 100- and 200-year return periods and floods the downstream area. For the 100-year peak inflow, a 208 km2 area will be inundated by a maximum depth of 20 m and for a maximum duration of 46 h. The 200-year inflow will inundate a 240 km2 area with a maximum depth of 31 m for a maximum duration of 93 h. The 2D flood map provides satisfactory spatial and temporal resolution of the inundated area for evaluation of the affected facilities.
Mihretab Tedla; Younghyun Cho; Kyungsoo Jun. Flood Mapping from Dam Break Due to Peak Inflow: A Coupled Rainfall–Runoff and Hydraulic Models Approach. Hydrology 2021, 8, 89 .
AMA StyleMihretab Tedla, Younghyun Cho, Kyungsoo Jun. Flood Mapping from Dam Break Due to Peak Inflow: A Coupled Rainfall–Runoff and Hydraulic Models Approach. Hydrology. 2021; 8 (2):89.
Chicago/Turabian StyleMihretab Tedla; Younghyun Cho; Kyungsoo Jun. 2021. "Flood Mapping from Dam Break Due to Peak Inflow: A Coupled Rainfall–Runoff and Hydraulic Models Approach." Hydrology 8, no. 2: 89.
It is crucial to forecast the water demand accurately for supplying water efficiently and stably in a water supply system. In particular, accurately forecasting short-term water demand helps in saving energy and reducing operating costs. With the introduction of the Smart Water Grid (SWG) in a water supply system, the amount of water consumption is obtained in real-time through a smart meter, which can be used for forecasting the short-term water demand. The models widely used for water demand forecasting include Autoregressive Integrated Moving Average, Radial Basis Function-Artificial Neural Network, Quantitative Multi-Model Predictor Plus, and Long Short-Term Memory. However, there is a lack of research on assessing the performance of models and forecasting the short-term water demand in the SWG demonstration plant. Therefore, in this study, the short-term water demand was forecasted for each model using the data collected from a smart meter, and the performance of each model was assessed. The Smart Water Grid Research Group installed a smart meter in block 112 located in YeongJong Island, Incheon, and the actual data used for operating the SWG demonstration plant were adopted. The performance of the model was assessed by using the Residual, Root Mean Square Error, Normalized Root Mean Square Error, Nash–Sutcliffe Efficiency, and Pearson Correlation Coefficient as indices. As a result of water demand forecasting, it is difficult to forecast water demand only by time and water consumption. Therefore, as the short-term water demand forecasting models using only time and the amount of water consumption have limitations in reflecting the characteristics of consumers, a water supply system can be managed more precisely if other factors (weather, customer behavior, etc.) influencing the water demand are applied.
Kang-Min Koo; Kuk-Heon Han; Kyung-Soo Jun; Gyumin Lee; Jung-Sik Kim; Kyung-Taek Yum. Performance Assessment for Short-Term Water Demand Forecasting Models on Distinctive Water Uses in Korea. Sustainability 2021, 13, 6056 .
AMA StyleKang-Min Koo, Kuk-Heon Han, Kyung-Soo Jun, Gyumin Lee, Jung-Sik Kim, Kyung-Taek Yum. Performance Assessment for Short-Term Water Demand Forecasting Models on Distinctive Water Uses in Korea. Sustainability. 2021; 13 (11):6056.
Chicago/Turabian StyleKang-Min Koo; Kuk-Heon Han; Kyung-Soo Jun; Gyumin Lee; Jung-Sik Kim; Kyung-Taek Yum. 2021. "Performance Assessment for Short-Term Water Demand Forecasting Models on Distinctive Water Uses in Korea." Sustainability 13, no. 11: 6056.
In South Korea, in line with the increasing need for a reliable water supply following the continuous increase in water demand, the Smart Water Grid Research Group (SWGRG) was officially launched in 2012. With the vision of providing water welfare at a national level, SWGRG incorporated Information and Communications Technology in its water resource management, and built a living lab for the demonstrative operation of the Smart Water Grid (SWG). The living lab was built in Block 112 of YeongJong Island, Incheon, South Korea (area of 17.4 km2, population of 8000), where Incheon International Airport, a hub for Northeast Asia, is located. In this location, water is supplied through a single submarine pipeline, making the location optimal for responses to water crises and the construction of a water supply system during emergencies. From 2017 to 2019, ultrasonic wave type smart water meters and IEEE 802.15.4 Advanced Metering Infrastructure (AMI) networks were installed at 527 sites of 958 consumer areas in the living lab. Therefore, this study introduces the development of SWG core element technologies (Intelligent water source management and distribution system, Smart water distribution network planning/control/operation strategy establishment, AMI network and device development, Integrated management of bi-directional smart water information), and operation solutions (Smart water statistics information, Real-time demand-supply analysis, Decision support system, Real-time hydraulic pipeline network analysis, Smart DB management, and Water information mobile application) through a field operation and testing in the living lab.
Kang-Min Koo; Kuk-Heon Han; Kyung-Soo Jun; Gyumin Lee; Kyung-Taek Yum. Smart Water Grid Research Group Project: An Introduction to the Smart Water Grid Living-Lab Demonstrative Operation in YeongJong Island, Korea. Sustainability 2021, 13, 5325 .
AMA StyleKang-Min Koo, Kuk-Heon Han, Kyung-Soo Jun, Gyumin Lee, Kyung-Taek Yum. Smart Water Grid Research Group Project: An Introduction to the Smart Water Grid Living-Lab Demonstrative Operation in YeongJong Island, Korea. Sustainability. 2021; 13 (9):5325.
Chicago/Turabian StyleKang-Min Koo; Kuk-Heon Han; Kyung-Soo Jun; Gyumin Lee; Kyung-Taek Yum. 2021. "Smart Water Grid Research Group Project: An Introduction to the Smart Water Grid Living-Lab Demonstrative Operation in YeongJong Island, Korea." Sustainability 13, no. 9: 5325.
Sunwoo, W.Y.; Lee, G., and Jun, K.S., 2020. Rainfall-runoff modeling by hydro-meteorological factors in the coastal urban region. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1303-1309. Coconut Creek (Florida), ISSN 0749-0208.This study aims to improve the rainfall-runoff model by applying and estimating water content on the surface and sub-surface with hydrological factors such as soil moisture and evapotranspiration. Coastal groundwater and water quality depend on runoff changes. Therefore, interest in more accurate rainfall-runoff analysis has recently increased. However, there are few researches which applying input data reflecting the physical reality into rainfall-runoff model. In this study, first, reanalysis and satellite based soil moisture products (i.e., soil moisture from GLDAS and ASCAT) are validated with in situ soil moisture during the test period. Second, the discharge is estimated using the actual evapotranspiration from Global Land Evaporation and Amsterdam Model (GREAM) and reanalysis soil moisture products as input data for the conceptual model, the Probability Distributed Model (PDM). Study area is Hongseong, a coastal urban region in South Korea. The Root Mean Square Error (RMSE) of estimated discharge is reduced by 25% in case of using reanalysis soil moisture and evapotranspiration products and little overall difference is found before and after a major rainfall event. This shows that the excess rainfall on the soil impacts on surface and sub-surface runoff and reanalysis soil moisture products contributes to improve the accuracy of discharge prediction over the limited data region.
Woo Yeon Sunwoo; Gyumin Lee; Kyung Soo Jun. Rainfall-runoff Modeling by Hydro-meteorological Factors in the Coastal Urban Region. Journal of Coastal Research 2020, 95, 1303 -1309.
AMA StyleWoo Yeon Sunwoo, Gyumin Lee, Kyung Soo Jun. Rainfall-runoff Modeling by Hydro-meteorological Factors in the Coastal Urban Region. Journal of Coastal Research. 2020; 95 (sp1):1303-1309.
Chicago/Turabian StyleWoo Yeon Sunwoo; Gyumin Lee; Kyung Soo Jun. 2020. "Rainfall-runoff Modeling by Hydro-meteorological Factors in the Coastal Urban Region." Journal of Coastal Research 95, no. sp1: 1303-1309.
Li, L. and Jun, K.S., 2020. The joint effect of river flow and tides on the determination of design flood levels in the Han River. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 257–261. Coconut Creek (Florida), ISSN 0749-0208.In tidal rivers, flood water levels are driven by a joint effect of upstream river discharge and downstream tidal level. Design flood level, which is used to design structures for flood protection, is usually determined by a steady-state flow model using constant values of upstream river discharge and downstream water level as inputs. However, the approach applying a steady-state flow model can overestimate water levels in tidal rivers because flood wave attenuation and the joint effect of river flow and tides are not taken into consideration. In this study, to investigate the effect of river-tide interaction on water levels along tidal rivers, a time series of design flood flow at the upstream boundary and a large number of tide scenarios at the downstream boundary are forced into a one-dimensional hydrodynamic model of the Han River, resulting in peak water levels along the river. Design flood levels are determined through a statistical analysis of the obtained peak water levels. The design water levels estimated by the proposed approach tend to be lower than that determined by a steady-state flow model. Moreover, a significant difference in the estimated peak water levels is observed near the downstream boundary due to different tide scenarios.
Li Li; Kyung Soo Jun. The Joint Effect of River Flow and Tides on the Determination of Design Flood Levels in the Han River. Journal of Coastal Research 2020, 95, 257 -261.
AMA StyleLi Li, Kyung Soo Jun. The Joint Effect of River Flow and Tides on the Determination of Design Flood Levels in the Han River. Journal of Coastal Research. 2020; 95 (sp1):257-261.
Chicago/Turabian StyleLi Li; Kyung Soo Jun. 2020. "The Joint Effect of River Flow and Tides on the Determination of Design Flood Levels in the Han River." Journal of Coastal Research 95, no. sp1: 257-261.
This study is aimed to establish an approach for estimating drought vulnerability using multi criterion decision making methods. Drought has spatially wide-ranging effects, its duration is difficult to predict, and long-lasting damages. For this reason, the conversion of drought damage into an amount of money or physical quantity is difficult. Accordingly, policy makers and researchers have difficulty in securing grounds for determining countermeasures against drought disasters. Thus, to determine drought vulnerability, factors with long-term impact on social and economics need to be taken into account. The evaluation approach consisted of three stages: evaluation factor and weight identification, database construction, evaluation data and weight combination. In this study, the factors to assessing drought vulnerability was identified using Delphi method, and the drought vulnerability was determined by the TOPSIS method which is a widely used MCDM method.
Gyumin Lee; Kyung Soo Jun; Minsung Kwon. An approach to assess drought vulnerability with multi criteria analysis. 2020, 1 .
AMA StyleGyumin Lee, Kyung Soo Jun, Minsung Kwon. An approach to assess drought vulnerability with multi criteria analysis. . 2020; ():1.
Chicago/Turabian StyleGyumin Lee; Kyung Soo Jun; Minsung Kwon. 2020. "An approach to assess drought vulnerability with multi criteria analysis." , no. : 1.
Ensuring stable and continuous water supplies in isolated but populated areas, such as islands, where the water supply is highly dependent on external factors, is crucial. Sudden loss of function in the water supply system can have enormous social costs. To strengthen water security and to meet multiple water demands with marginal quality, the optimized selection of locally available, diversified multi-water resources is necessary. This study considers a sustainable water supply problem of Yeongjong Island, 30 km west from Seoul, South Korea. The self-sufficiency of several locally available water resources is calculated for four different scenarios based on the volume and quality of the various water sources. Our optimization results show that using all the available local sources can address the water security issues of the island in the case of interruption in the existing supply system, which is fed from a single source of mainland Korea. This optimization framework can be useful for areas where water must be secured in the event of emergency.
Kapil Gnawali; Kuk Heon Han; Zong Woo Geem; Kyung Soo Jun; Kyung Taek Yum. Economic Dispatch Optimization of Multi-Water Resources: A Case Study of an Island in South Korea. Sustainability 2019, 11, 5964 .
AMA StyleKapil Gnawali, Kuk Heon Han, Zong Woo Geem, Kyung Soo Jun, Kyung Taek Yum. Economic Dispatch Optimization of Multi-Water Resources: A Case Study of an Island in South Korea. Sustainability. 2019; 11 (21):5964.
Chicago/Turabian StyleKapil Gnawali; Kuk Heon Han; Zong Woo Geem; Kyung Soo Jun; Kyung Taek Yum. 2019. "Economic Dispatch Optimization of Multi-Water Resources: A Case Study of an Island in South Korea." Sustainability 11, no. 21: 5964.
An unsteady flow model that allows a variable roughness coefficient for each computational point according to its spatial position (x) and the value of discharge (Q) was developed. A step function and a power function were considered for functional relationships between discharge and Manning’s roughness coefficient (n). The model was applied to the main reach of the Han River and model parameters were estimated by optimization. From the model calibration, spatial variation and discharge dependence of Manning’s n were identified by testing different n(x, Q) functions. First, the value of the roughness coefficient is higher for the upstream reach of the Wangsook Stream junction than it is for the downstream reach. Second, estimated parameters of both the step function model and the power function model show that Manning’s n decreases as discharge increases. This tendency is more noticeable for the upstream reach of the Wangsook Stream junction compared to the downstream reach. Further, the stages calculated by the variable roughness coefficient model are more consistent with the observed ones than those from the conventional constant parameter model. Regarding the variation of Manning’s n relative to discharge, adopting a power function as the Manning’s n-discharge relationship seems to be more appropriate than adopting a step function because it is easy to apply and the performance is as good as that of the step function model.
Li Li; Kyung Soo Jun. Distributed parameter unsteady flow model for the Han River. Journal of Hydro-environment Research 2018, 21, 86 -95.
AMA StyleLi Li, Kyung Soo Jun. Distributed parameter unsteady flow model for the Han River. Journal of Hydro-environment Research. 2018; 21 ():86-95.
Chicago/Turabian StyleLi Li; Kyung Soo Jun. 2018. "Distributed parameter unsteady flow model for the Han River." Journal of Hydro-environment Research 21, no. : 86-95.
The accuracy and sufficiency of precipitation data play a key role in environmental research and hydrological models. They have a significant effect on the simulation results of hydrological models; therefore, reliable hydrological simulation in data-scarce areas is a challenging task. Advanced techniques can be utilized to improve the accuracy of satellite-derived rainfall data, which can be used to overcome the problem of data scarcity. Our study aims to (1) assess the accuracy of different satellite precipitation products such as Tropical Rainfall Measuring Mission (TRMM 3B42 V7), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), PERSIANN-Climate Data Record (PERSIANN-CDR), and China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) by comparing them with gauged rainfall data; and (2) apply them for runoff simulations for the Han River Basin in South Korea using the SWAT model. Based on the statistical measures, that is, the proportion correct (PC), the probability of detection (POD), the frequency bias index (FBI), the index of agreement (IOA), the root-mean-square-error (RMSE), the mean absolute error (MAE), the coefficient of determination (R2), and the bias, the rainfall data of the TRMM and CMADS show a better accuracy than those of PERSIANN and PERSIANN-CDR when compared to rain gauge measurements. The TRMM and CMADS data capture the spatial rainfall patterns in mountainous areas as well. The streamflow simulated by the SWAT model using ground-based rainfall data agrees well with the observed streamflow with an average Nash-Sutcliffe efficiency (NSE) of 0.68. The four satellite rainfall products were used as inputs in the SWAT model for streamflow simulation and the results were compared. The average R2, NSE, and percent bias (PBIAS) show that hydrological models using TRMM (R2 = 0.54, NSE = 0.49, PBIAS = [−52.70–28.30%]) and CMADS (R2 = 0.44, NSE = 0.42, PBIAS = [−29.30–41.80%]) data perform better than those utilizing PERSIANN (R2 = 0.29, NSE = 0.13, PBIAS = [38.10–83.20%]) and PERSIANN-CDR (R2 = 0.25, NSE = 0.16, PBIAS = [12.70–71.20%]) data. Overall, the results of this study are satisfactory, given that rainfall data obtained from TRMM and CMADS can be used to simulate the streamflow of the Han River Basin with acceptable accuracy. Based on these results, TRMM and CMADS rainfall data play important roles in hydrological simulations and water resource management in the Han River Basin and in other regions with similar climate and topographical characteristics.
Thom Thi Vu; Li Li; Kyung Soo Jun. Evaluation of Multi-Satellite Precipitation Products for Streamflow Simulations: A Case Study for the Han River Basin in the Korean Peninsula, East Asia. Water 2018, 10, 642 .
AMA StyleThom Thi Vu, Li Li, Kyung Soo Jun. Evaluation of Multi-Satellite Precipitation Products for Streamflow Simulations: A Case Study for the Han River Basin in the Korean Peninsula, East Asia. Water. 2018; 10 (5):642.
Chicago/Turabian StyleThom Thi Vu; Li Li; Kyung Soo Jun. 2018. "Evaluation of Multi-Satellite Precipitation Products for Streamflow Simulations: A Case Study for the Han River Basin in the Korean Peninsula, East Asia." Water 10, no. 5: 642.
Kwon, M.; Jun, K.S., and Kim, T.-W., 2017. Evaluation of probabilistic storage prediction model (PSPM) for optimal reservoir operation during a drought. In: Lee, J.L.; Griffiths, T.; Lotan, A.; Suh, K.-S., and Lee, J. (eds.), The 2nd International Water Safety Symposium. Journal of Coastal Research, Special Issue No. 79, pp. 314–318. Coconut Creek (Florida), ISSN 0749-0208. The Probabilistic Storage Prediction Model (PSPM) is a model that probabilistically predicts the future reservoir storages considering the uncertainty of natural inflow. This study simulated reservoir operation using the PSPM and evaluated the usefulness of the PSPM compared to the actual reservoir operation during the recent severe drought of the Chungju Dam basin in South Korea. The initial storage was set to observed storage at the end of January 2015, and the reservoir operation for achieving target storage at the end of June was simulated for various achievement probabilities. The differences between the simulated storages and the actual storage at the end of June 2015 was as large as 14–20% of effective storage capacity of the reservoir. The maximum supply reduction for achieving target storage simulated for the achievement probability of 0.8 was less than actual maximum supply reduction. This is possible by storing more water in advance to prepare for more severe drought. PSPM can offer valuable information as a decision-making tool, which will enable reservoir managers to secure water in advance, and thus mitigate severe drought damages.
Minsung Kwon; Kyung Soo Jun; Tae-Woong Kim. Evaluation of Probabilistic Storage Prediction Model (PSPM) for Optimal Reservoir Operation during a Drought. Journal of Coastal Research 2017, 79, 314 -318.
AMA StyleMinsung Kwon, Kyung Soo Jun, Tae-Woong Kim. Evaluation of Probabilistic Storage Prediction Model (PSPM) for Optimal Reservoir Operation during a Drought. Journal of Coastal Research. 2017; 79 ():314-318.
Chicago/Turabian StyleMinsung Kwon; Kyung Soo Jun; Tae-Woong Kim. 2017. "Evaluation of Probabilistic Storage Prediction Model (PSPM) for Optimal Reservoir Operation during a Drought." Journal of Coastal Research 79, no. : 314-318.
Lee, G.; Choi, J., and Jun, K.S., 2017. MCDM approach for identifying urban flood vulnerability under social environment and climate change. In: Lee, J.L.; Griffiths, T.; Lotan, A.; Suh, K.-S., and Lee, J. (eds.), The 2nd International Water Safety Symposium. Journal of Coastal Research, Special Issue No. 79, pp. 209–213. Coconut Creek (Florida), ISSN 0749-0208. This study examines a method for conducting flood vulnerability assessments based on urban environmental and social characteristics. In other words, the purpose of this study is to analyze the characterization of flood damage to a city and determine assessment factors, thereby establishing a vulnerability assessment procedure. In order to consider urban environments in the future, the trend for socio-economic changes and changes in rainfall patterns due to climate change are included. The established assessment procedure consists of the following three steps: criteria and weights determination using Delphi and Entropy methods, data acquisition and construction of database, and vulnerability quantification and priority decision making. Future precipitation is estimated from the RCP scenario, and the indexes that indicate social and economic changes in a region, such as population change and urbanization, are calculated using a scenario based on the data from Statistics Korea. In this study, the assessment method was applied to the Dorimcheon basin in Seoul, Korea, where inland flooding caused substantial damage in 2011. It was found that the influence of increased precipitation (due to climate change) on flooding risk was less than that of the increase in vulnerability factors caused by social and economic development. The approach used in this study can suggest preferred regions or objects for urban flood management by considering characteristics of each region and recognizing intrinsic vulnerability factors in advance.
Gyumin Lee; Jinwon Choi; Kyung Soo Jun. MCDM Approach for Identifying Urban Flood Vulnerability under Social Environment and Climate Change. Journal of Coastal Research 2017, 79, 209 -213.
AMA StyleGyumin Lee, Jinwon Choi, Kyung Soo Jun. MCDM Approach for Identifying Urban Flood Vulnerability under Social Environment and Climate Change. Journal of Coastal Research. 2017; 79 ():209-213.
Chicago/Turabian StyleGyumin Lee; Jinwon Choi; Kyung Soo Jun. 2017. "MCDM Approach for Identifying Urban Flood Vulnerability under Social Environment and Climate Change." Journal of Coastal Research 79, no. : 209-213.
Gyumin Lee; Jinwon Choi; Kyung Soo Jun. An Approach of Social Vulnerability Assessment to Urban Flood. Journal of the Korean Society of Hazard Mitigation 2016, 16, 43 -51.
AMA StyleGyumin Lee, Jinwon Choi, Kyung Soo Jun. An Approach of Social Vulnerability Assessment to Urban Flood. Journal of the Korean Society of Hazard Mitigation. 2016; 16 (4):43-51.
Chicago/Turabian StyleGyumin Lee; Jinwon Choi; Kyung Soo Jun. 2016. "An Approach of Social Vulnerability Assessment to Urban Flood." Journal of the Korean Society of Hazard Mitigation 16, no. 4: 43-51.
Minsung Kwon; Dong-Hyeok Park; Kyung Soo Jun; Tae-Woong Kim. Probabilistic prediction of reservoir storage considering the uncertainty of dam inflow. Journal of Korea Water Resources Association 2016, 49, 607 -614.
AMA StyleMinsung Kwon, Dong-Hyeok Park, Kyung Soo Jun, Tae-Woong Kim. Probabilistic prediction of reservoir storage considering the uncertainty of dam inflow. Journal of Korea Water Resources Association. 2016; 49 (7):607-614.
Chicago/Turabian StyleMinsung Kwon; Dong-Hyeok Park; Kyung Soo Jun; Tae-Woong Kim. 2016. "Probabilistic prediction of reservoir storage considering the uncertainty of dam inflow." Journal of Korea Water Resources Association 49, no. 7: 607-614.
Lee, G.; Min, B., and Jun, K.S., 2016. Multi-Criteria Surge Vulnerability Assessment with Long-term Reanalysis. In: Vila-Concejo, A.; Bruce, E.; Kennedy, D.M., and McCarroll, R.J. (eds.), Proceedings of the 14th International Coastal Symposium (Sydney, Australia). Journal of Coastal Research, Special Issue, No. 75, pp. 1172 - 1176. Coconut Creek (Florida), ISSN 0749-0208. Storm surges are one of the biggest natural disasters. In Korea, which has many of its important cities on its coast and since three sides of the country are bordered by the ocean, surges have the potential to generate great economic and social damage. The main factors causing surges are typhoons and tropical atmospheric pressure. Korea is affected by an average of 3.1 typhoons annually. In this study, we aim to evaluate the vulnerability of the Korean peninsula to typhoons. The best information on the tracks of past typhoons was collected and the hazard calculated by interpreting the typhoons' degree of influence and magnitude. Vulnerability was also estimated by considering the effects on society and the economy. At this point in time, the evaluation was based on the Driving force-Pressure-State-Impact-Response (DPSIR) framework. This framework is a set of sustainable development indicators that reflects the social structure and capability, including national efforts to respond to direct or indirect damage and disasters. As a result of calculating the vulnerability to surge, the cities of Busan, Ulsan, and Tongyeong, which are all located on the southern coast of Korea, were estimated to be the places of primary vulnerability.
Gyumin Lee; Byoung-Il Min; Kyung Soo Jun. Multi-Criteria Surge Vulnerability Assessment with Long-term Reanalysis. Journal of Coastal Research 2016, 75, 1172 -1176.
AMA StyleGyumin Lee, Byoung-Il Min, Kyung Soo Jun. Multi-Criteria Surge Vulnerability Assessment with Long-term Reanalysis. Journal of Coastal Research. 2016; 75 (sp1):1172-1176.
Chicago/Turabian StyleGyumin Lee; Byoung-Il Min; Kyung Soo Jun. 2016. "Multi-Criteria Surge Vulnerability Assessment with Long-term Reanalysis." Journal of Coastal Research 75, no. sp1: 1172-1176.
Minsung Kwon; Dong-Hyeok Park; Kyung Soo Jun; Tae-Woong Kim. Development and Application of Drought Index Based on Accumulative Pattern of Daily Rainfall. Journal of Korea Water Resources Association 2016, 49, 41 -49.
AMA StyleMinsung Kwon, Dong-Hyeok Park, Kyung Soo Jun, Tae-Woong Kim. Development and Application of Drought Index Based on Accumulative Pattern of Daily Rainfall. Journal of Korea Water Resources Association. 2016; 49 (1):41-49.
Chicago/Turabian StyleMinsung Kwon; Dong-Hyeok Park; Kyung Soo Jun; Tae-Woong Kim. 2016. "Development and Application of Drought Index Based on Accumulative Pattern of Daily Rainfall." Journal of Korea Water Resources Association 49, no. 1: 41-49.
Minsung Kwon; Kyung Soo Jun; Man Ha Hwang; Tae-Woong Kim. Assessment of Meteorological Drought Using Cumulative Severity of Daily Standardized Precipitation Index. Journal of Korean Society of Hazard Mitigation 2015, 15, 123 -131.
AMA StyleMinsung Kwon, Kyung Soo Jun, Man Ha Hwang, Tae-Woong Kim. Assessment of Meteorological Drought Using Cumulative Severity of Daily Standardized Precipitation Index. Journal of Korean Society of Hazard Mitigation. 2015; 15 (2):123-131.
Chicago/Turabian StyleMinsung Kwon; Kyung Soo Jun; Man Ha Hwang; Tae-Woong Kim. 2015. "Assessment of Meteorological Drought Using Cumulative Severity of Daily Standardized Precipitation Index." Journal of Korean Society of Hazard Mitigation 15, no. 2: 123-131.
The ongoing Four Major Rivers Restoration Project will drastically change the river environment of South Korea. The objective of this study is to evaluate the impact of the Four Major Rivers Restoration Project on river flows using an unsteady flow simulation model. The computational model was applied to the stream reaches of the Han River and the Nakdong River. Historical floods were simulated for the changed river environment as well as for the current river condition to investigate the flood mitigation effect of the project. The simulation results show that once the project is completed, the flood water level of the entire reach of both rivers will fall because water level decline due to the channel dredging dominates water level rise due to the presence of weirs. This mitigation effect was particularly significant for the upstream region of the Nakdong River because of large-scale dredging. A steady flow simulation was carried out using normal flow discharges to investigate the effect of the project on flow characteristics during non-flood periods. For the Han River, the normal water level rises upstream of the weirs, whereas it falls downstream owing to the dominant dredging effect. However, in spite of heavy dredging, the water level decline in the case of the Nakdong River is very limited because the effect of dredging is overwhelmed by the high normal pool level of the weirs. The increase in flow travel time of the Nakdong River after the completion of the project will be more significant than that of the Han River.
Kyung Soo Jun; Jin Soo Kim. The Four Major Rivers Restoration Project: Impacts on river flows. KSCE Journal of Civil Engineering 2011, 15, 217 -224.
AMA StyleKyung Soo Jun, Jin Soo Kim. The Four Major Rivers Restoration Project: Impacts on river flows. KSCE Journal of Civil Engineering. 2011; 15 (2):217-224.
Chicago/Turabian StyleKyung Soo Jun; Jin Soo Kim. 2011. "The Four Major Rivers Restoration Project: Impacts on river flows." KSCE Journal of Civil Engineering 15, no. 2: 217-224.
Jin-Soo Kim; Kyung-Soo Jun. Estimation of Muskingum-Cunge Parameters for Natural Streams. Journal of Korea Water Resources Association 2010, 43, 233 -243.
AMA StyleJin-Soo Kim, Kyung-Soo Jun. Estimation of Muskingum-Cunge Parameters for Natural Streams. Journal of Korea Water Resources Association. 2010; 43 (2):233-243.
Chicago/Turabian StyleJin-Soo Kim; Kyung-Soo Jun. 2010. "Estimation of Muskingum-Cunge Parameters for Natural Streams." Journal of Korea Water Resources Association 43, no. 2: 233-243.
Kyung-Soo Jun; Jin-Soo Kim; Won Kim; Byung-Man Yoon. Computational Model for Flow in River Systems Including Storage Pockets with Side Weirs. Journal of Korea Water Resources Association 2010, 43, 139 -151.
AMA StyleKyung-Soo Jun, Jin-Soo Kim, Won Kim, Byung-Man Yoon. Computational Model for Flow in River Systems Including Storage Pockets with Side Weirs. Journal of Korea Water Resources Association. 2010; 43 (2):139-151.
Chicago/Turabian StyleKyung-Soo Jun; Jin-Soo Kim; Won Kim; Byung-Man Yoon. 2010. "Computational Model for Flow in River Systems Including Storage Pockets with Side Weirs." Journal of Korea Water Resources Association 43, no. 2: 139-151.
Kyung-Soo Jun; Jin-Soo Kim; Sang-Ho Lee. Enhancement of FLDWAV Model for Its Application to the Main Reach of the Han River. Journal of Korea Water Resources Association 2007, 40, 135 -146.
AMA StyleKyung-Soo Jun, Jin-Soo Kim, Sang-Ho Lee. Enhancement of FLDWAV Model for Its Application to the Main Reach of the Han River. Journal of Korea Water Resources Association. 2007; 40 (2):135-146.
Chicago/Turabian StyleKyung-Soo Jun; Jin-Soo Kim; Sang-Ho Lee. 2007. "Enhancement of FLDWAV Model for Its Application to the Main Reach of the Han River." Journal of Korea Water Resources Association 40, no. 2: 135-146.