Heechan Han

发表

Development of Simple Method for Flood Control Capacity Estimation of Dam in South Korea

H. Kim, H. Joo, Deokhwan Kim, 2022, Water.

Modeling the Runoff Reduction Effect of Low Impact Development Installations in an Industrial Area, South Korea

Jung-Ho Lee, Heechan Han, J. Joo, 2018, Water.

Use of a high-resolution-satellite-based precipitation product in mapping continental-scale rainfall erosivity: A case study of the United States

Haonan Chen, Heechan Han, Jungho Kim, 2020 .

Development of Water Level Prediction Models Using Machine Learning in Wetlands: A Case Study of Upo Wetland in South Korea

Jungwook Kim, Daegun Han, H. Kim, 2019 .

Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, Korea

H. Kim, Soojun Kim, Heechan Han, 2021, Stochastic Environmental Research and Risk Assessment.

Application of Deep Learning Models and Network Method for Comprehensive Air-Quality Index Prediction

H. Kim, Heechan Han, Won-joon Wang, 2022, Applied Sciences.

Determining the Risk Level of Heavy Rain Damage by Region in South Korea

H. Kim, M. Lee, Jongsung Kim, 2022 .

Inundation Analysis of Coastal Urban Area under Climate Change Scenarios

H. Kim, Deokhwan Kim, Heechan Han, 2022, Water.

Data-driven approaches for runoff prediction using distributed data

R. Morrison, Heechan Han, 2021, Stochastic Environmental Research and Risk Assessment.

An experiment on reservoir representation schemes to improve hydrologic prediction: coupling the national water model with the HEC-ResSim

R. Cifelli, L. Read, D. Gochis, 2020 .

Modeling Streamflow Enhanced by Precipitation from Atmospheric River Using the NOAA National Water Model: A Case Study of the Russian River Basin for February 2004

V. Chandrasekar, Sanghun Lim, Heechan Han, 2019, Atmosphere.

Case study: On hydrological function improvement for an endemic plant habitat in Gangcheon wetland, Korea

Jungwook Kim, Daegun Han, H. Kim, 2021 .

Development of a Deep Learning-Based Prediction Model for Water Consumption at the Household Level

H. Kim, M. Lee, Jongsung Kim, 2022, Water.

Hybrid machine learning framework for hydrological assessment

Sanghun Lim, Robert Cifelli, Jungho Kim, 2019, Journal of Hydrology.

Annual Precipitation Reconstruction Based on Tree-ring Data at Seorak

H. Kim, Heechan Han, Jaewon Kwak, 2015 .

Development of Technology for Identification of Climate Patterns during Floods Using Global Climate Model Data with Convolutional Neural Networks

Jaewon Jung, Heechan Han, 2022, Water.

Evaluation of the CMORPH high-resolution precipitation product for hydrological applications over South Korea

Heechan Han, Jungho Kim, 2021, Atmospheric Research.

Machine Learning-Based Small Hydropower Potential Prediction under Climate Change

H. Kim, Jaewon Jung, Heechan Han, 2021, Energies.

Dam inflow prediction using large-scale climate variability and deep learning approach: a case study in South Korea

H. Kim, Heechan Han, Won-joon Wang, 2023, Water Supply.

Improved Runoff Forecasting Performance through Error Predictions using a Deep-Learning Approach

R. Morrison, Heechan Han, 2022, Journal of Hydrology.

Deep Learning with Long Short Term Memory Based Sequence-to-Sequence Model for Rainfall-Runoff Simulation

H. Kim, Changhyun Choi, Jaewon Jung, 2021, Water.

Application of AI-Based Models for Flood Water Level Forecasting and Flood Risk Classification

H. Kim, Soojun Kim, Heechan Han, 2023, KSCE Journal of Civil Engineering.

Improvement of Deep Learning Models for River Water Level Prediction Using Complex Network Method

H. Kim, Heechan Han, Won-joon Wang, 2022, Water.

Application of sequence to sequence learning based LSTM model (LSTM-s2s) for forecasting dam inflow

Heechan Choi Changhyun Jung Jaewon Kim Hung Soo Han, Heechan Han, 2021 .

Multiple-Depth Soil Moisture Estimates Using Artificial Neural Network and Long Short-Term Memory Models

H. Kim, R. Morrison, Changhyun Choi, 2021, Water.

Case Study: Development of the CNN Model Considering Teleconnection for Spatial Downscaling of Precipitation in a Climate Change Scenario

H. Kim, M. Lee, Jongsung Kim, 2022, Sustainability.

Flood Risk Assessment Using an Indicator Based Approach Combined with Flood Risk Maps and Grid Data

Soojun Kim, Heechan Han, Won-joon Wang, 2023, Journal of Hydrology.