Issue Date | Title | Author(s) | Source | WOS | Fulltext/Archive link |
2023 | An alternative for predicting real-time water levels of urban drainage systems | Huang, Pin-Chun ; Lee, Kwan Tun | JOURNAL OF ENVIRONMENTAL MANAGEMENT | | |
2020 | Analysis of Hydrograph Shape Affected by Flow-Direction Assumptions in Rainfall-Runoff Models | Pin-Chun Huang | WATER | 2 | |
2020 | Channel hydrological response function considering inflow conditions and hydraulic characteristics | Pin-Chun Huang ; Lee, Kwan Tun | JOURNAL OF HYDROLOGY | 1 | |
2021 | Channel-flow response function considering the downstream tidal effect and hydraulic characteristics | Pin-Chun Huang ; Lee, Kwan Tun | JOURNAL OF HYDROLOGY | 0 | |
2022 | An effective alternative for predicting coastal floodplain inundation by considering rainfall, storm surge, and downstream topographic characteristics | Huang, Pin-Chun | J HYDROL | 0 | |
2024/5/24 | Estimation of riverbank erosion by combining channel morphological models with AI techniques | Huang, Pin-Chun | GEOMATICS NATURAL HAZARDS & RISK | | |
2021 | Improvement of Two-Dimensional Flow-Depth Prediction Based on Neural Network Models By Preprocessing Hydrological and Geomorphological Data | Pin-Chun Huang ; Hsu, Kuo-Lin; Lee, Kwan Tun | WATER RESOURCES MANAGEMENT | 4 | |
2019 | Influence of Topographic Characteristics on the Adaptive Time Interval for Diffusion Wave Simulation | Pin-Chun Huang ; Lee, Kwan Tun ; Gartsman, Boris I. | WATER-SUI | 1 | |
2021 | Influence of topographic features and stream network structure on the spatial distribution of hydrological response | Pin-Chun Huang ; Lee, Kwan Tun | JOURNAL OF HYDROLOGY | 4 | |
2022 | An innovative partition method for predicting shallow landslides by combining the slope stability analysis with a dynamic neural network model | Huang, Pin-Chun | CATENA | 0 | |
2023 | A novel method of estimating dynamic partial contributing area for integrating subsurface flow layer into GIUH model | Huang, Pin-Chun ; Lee, Kwan Tun | JOURNAL OF HYDROLOGY | 0 | |
2024/4/26 | Urban storm water prediction by applying machine learning techniques and geomorphological characteristics | Huang, Pin-Chun | HYDROLOGICAL SCIENCES JOURNAL | | |