Jun‐Haeng Heo
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At-Site Versus Regional Frequency Analysis of Sub-Hourly Rainfall for Urban Hydrology Applications During Recent Extreme Events Open
Accurate rainfall quantile estimation is critical for urban flood management, particularly given the escalating climate change impacts. This study comprehensively compared at-site frequency analysis and regional frequency analysis for sub-…
Assessment of Future Rainfall Quantile Changes in South Korea Based on a CMIP6 Multi-Model Ensemble Open
Climate change presents considerable challenges to hydrological stability by modifying precipitation patterns and exacerbating the frequency and intensity of extreme rainfall events. This research evaluates the prospective alterations in r…
Assessment of extreme precipitation risks using multi-model climate projections: focusing on the Chungju-Dam basin in South Korea Open
This research focuses on the estimation of extreme precipitation quantiles using climate change scenario data from the 6th Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC). The study involved the analysis of …
Evaluation of Statistical PMP Considering RCP Climate Change Scenarios in Republic of Korea Open
Extreme rainfall and floods have increased in frequency and severity in recent years, due to climate change and urbanization. Consequently, interest in estimating the probable maximum precipitation (PMP) has been burgeoning. The World Mete…
Comparison and Future Projection for Rainfall Quantile based on CMIP6 and CMIP5: Focusing on the Seomjingang River Basin Open
This study attempts to estimate the extreme rainfall quantiles using the Intergovernmental Panel on Climate Change (IPCC)'s latest Coupled Model Intercomparison Project Phase 6 (CMIP6) and Coupled Model Intercomparison Project Phase 5 (CMI…
Increasing extreme flood risk under future climate change scenarios in South Korea Open
The endeavor to reduce the multiple risks of climate extremes takes the future of civil society. Many global climate models (GCMs) and regional climate models (RCMs) have been developed to project the future changing climate. To quantitati…
Extreme rainfall quantile estimation based on SSP scenarios: Focusing on the Hangang river basin Open
<p>This study attempts to estimate the extreme rainfall quantile using the climate model data of the Shared Socioeconomic Pathways (SSP) scenarios presented in the sixth Assessment Report (AR6), published by the Intergovernmental Pan…
IDF curves in nonstationary regions using regional frequency analysis and RCP scenarios in south korea Open
<p>Recently, extreme hydrological phenomena are increasing rapidly due to abnormal climate caused by global warming, and many damages are occurring as the change of precipitation characteristics. The intensity-duration-frequency(IDF)…
 Statisrical Probable Maximum Precipitation using RCP 4.5 and RCP 8.5 scenarios Open
<p>Probable maximum precipitation (PMP) means the maximum precipitation that can occur under the most severe weather conditions at specific area and rainfall duration in watershed. Greenhouse gas emissions in the atmosphere have incr…
Improvement of Extreme Value Modeling for Extreme Rainfall Using Large-Scale Climate Modes and Considering Model Uncertainty Open
Extreme value modeling for extreme rainfall is one of the most important processes in the field of hydrology. For the improvement of extreme value modeling and its physical meaning, large-scale climate modes have been widely used as covari…
Modified Maximum Pseudo Likelihood Method of Copula Parameter Estimation for Skewed Hydrometeorological Data Open
For multivariate frequency analysis of hydrometeorological data, the copula model is commonly used to construct joint probability distribution due to its flexibility and simplicity. The Maximum Pseudo-Likelihood (MPL) method is one of the …
Extreme events Analysis of Short-Duration Rainfall and Intensity-Duration-Frequency curve using Scaling Model in North Korea Open
<p>Climate change has emerged as one of the defining issues of the early 21st century. Recent research confirms that the imprint of human induced climate change can be recognized in current accident events. There is a high probabilit…
Regression equations of probability plot correlation coefficient test statistics using machine learning Open
<p>In the extremes hydrology field, it is essential to find the probability distribution model that is most appropriate for the sample data to estimate the reasonable probability quantile. Depending on the assumed probability distrib…
Application of artificial neural network model for regional frequency analysis at Han River basin, South Korea Open
<p>Regional frequency analysis (RFA) is used to improve the accuracy of quantiles at sites where the observed data is insufficient. Due to the development of technologies, complex computation of huge data set is possible with a preva…
Probability Distributions for a Quantile Mapping Technique for a Bias Correction of Precipitation Data: A Case Study to Precipitation Data Under Climate Change Open
The quantile mapping method is a bias correction method that leads to a good performance in terms of precipitation. Selecting an appropriate probability distribution model is essential for the successful implementation of quantile mapping.…
Applicability of Burr XII Distribution for Rainfall Frequency Analysis using Monte Carlo Simulation Open
Hydrological quantile estimation is crucial for the design and management of hydraulic infrastructure. In the frequency analysis of extreme rainfall, it is important to select the most appropriate probability distribution that can adequate…
Selecting Climate Models to Determine Future Extreme Rainfall Quantiles Open
Many countries have been undertaking research on adaptation to the impacts of climate change. This study evaluated the performance of global climate models (GCMs) and regional climate models (RCMs) in terms of selecting the proper climate …
The Use of Large-Scale Climate Indices in Monthly Reservoir Inflow Forecasting and Its Application on Time Series and Artificial Intelligence Models Open
Climate variability is strongly influencing hydrological processes under complex weather conditions, and it should be considered to forecast reservoir inflow for efficient dam operation strategies. Large-scale climate indices can provide p…
A Study on the Estimation of the Extreme Quantile of Probability Distribution According to Skewness Coefficient and Sample Size Open
In this study, probability distribution selection was assessed for right-tail quantile using Monte Carlo simulation. Four probability distributions, including the generalized extreme value (GEV), Gumbel (GUM), generalized logistic (GLO), a…
Mixture Gumbel models for extreme series including infrequent phenomena Open
A Gumbel mixture distribution is proposed for modelling extreme events from two different mechanisms: one phenomenon occurring annually and one occurring infrequently. A new Monte Carlo simulation procedure is presented and used to assess …
A Novel Statistical Method to Temporally Downscale Wind Speed Weibull Distribution Using Scaling Property Open
To improve our capacity to use available wind speed data, it is necessary to develop a new statistical temporal downscaling method that uses one or a few input variables of any temporal scale for mean wind speed data to obtain wind statist…
The Spatial and Temporal Structure of Extreme Rainfall Trends in South Korea Open
The spatial and temporal structures of extreme rainfall trends in South Korea are investigated in the current study. The trends in the annual maximum rainfall series are detected and their spatial distribution is analyzed. The scaling expo…
Hourly Water Level Forecasting at Tributary Affected by Main River Condition Open
This study develops hourly water level forecasting models with lead-times of 1 to 3 h using an artificial neural network (ANN) for Anyangcheon stream, one of the major tributaries of the Han River, South Korea. To consider the backwater ef…
Assessment of Flood Frequency Alteration by Dam Construction via SWAT Simulation Open
The purpose of this study is to evaluate the impacts of the upstream Soyanggang and Chungju multi-purpose dams on the frequency of downstream floods in the Han River basin, South Korea. A continuous hydrological model, SWAT (Soil and Water…
Development of spatial dependence formula of FORGEX method using rainfall data in Korea Open
영국에서는 지역구분이 필요없고 상대적으로 긴 재현기간에 대해서도 안정적인 확률강우량 추정이 가능한 FORGEX (Focused Rainfall Growth Extension) 기법을 개발하여 강우자료의 지역빈도해석을 수행하고 있으며, 지역빈도해석에 적합한 모집단 성장곡선으로부터 네트워크 최대값(network maximum, netmax) 자료의 분포위치를 고려하기 위하여 영국 강우자료를 이용한 공간상관식(ln Ne)을 유도하…
Correlation analysis between climate indices and Korean precipitation and temperature using empirical mode decomposition : II. Correlation analysis Open
본 연구에서는 우리나라 강수 및 기온과 다양한 기상인자와의 교차상관관계 분석을 통해 대규모 기후변동이 우리나라에 어떠한 영향을 주는지를 분석하였다. 강수 및 기온자료의 경우 앞선 연구인 “경험적 모드분해법을 이용한 기상인자와 우리나라 강수 및 기온의 상관관계 분석 : I. 자료의 분해 및 특성분석”의 연구결과를 통해 주기성, 경향성에 따라 분해한 강수 및 기온자료의 내재모드함수를 사용하여, 자료의 변동이 심하고 잡음이 포함된…