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  1. National Taiwan Ocean University Research Hub
National Taiwan Ocean University,NTOU

Huang, PC

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  • Information
  • Indicators
  • Publications 19
  • Project and Funding 4

Publications
  • All
  • Articles

Author

  • 1 hsu, yu-han
  • 1 hung, meng-chiu
  • 1 jin, bao-ming
  • 1 liao, yu-hsun
  • 1 lin, he-chung
  • 1 lin, peng
  • 1 tseng, kuo-fong
  • 1 yang, jing zong
  • 1 yang, xin
  • . < previous

Subject

  • 3 machine learning
  • 2 cluster analysis
  • 2 geomorphological factors
  • 2 hydrologic length
  • 2 impulse response function
  • 2 linear channel routing
  • 2 saint venant equations
  • 2 sewer system
  • 2 stormwater management
  • 2 subsurface flow
  • . next >

Date issued

  • 18 2020 - 2026
  • 1 2010 - 2019

By type

  • 11 journal article
  • 11 journal article
  • 11 journal article
  • 8 journal article

Fulltext

  • 19 no fulltext


Results 1-19 of 19 (Search time: 0.018 seconds).

Issue DateTitleAuthor(s)SourcescopusWOSFulltext/Archive link
12023An alternative for predicting real-time water levels of urban drainage systemsHuang, Pin-Chun ; Lee, Kwan Tun JOURNAL OF ENVIRONMENTAL MANAGEMENT
22020Analysis of Hydrograph Shape Affected by Flow-Direction Assumptions in Rainfall-Runoff ModelsPin-Chun Huang WATER2
32020Channel hydrological response function considering inflow conditions and hydraulic characteristicsPin-Chun Huang ; Lee, Kwan Tun JOURNAL OF HYDROLOGY1
42021Channel-flow response function considering the downstream tidal effect and hydraulic characteristicsPin-Chun Huang ; Lee, Kwan Tun JOURNAL OF HYDROLOGY0
52025/3/1Combination of dynamic TOPMODEL and machine learning techniques to improve runoff predictionHuang, Pin-Chun JOURNAL OF FLOOD RISK MANAGEMENT
62024/11/20Comprehensive interpretation of hillslope subsurface flow - An analytical approach to hillslopes with complex geometryJin, Bao-Ming; Yang, Xin; Lee, Kwan Tun ; Huang, Pin-Chun ; Lin, Peng; Gao, Lanlan; Chen, Lo-YaJOURNAL OF HYDROLOGY
72024/10/30Design discharge estimation for small urban districts - an analytical approachLee, Kwan Tun ; Huang, Pin-Chun ; Yang, Jing Zong; Chen, Lo-YaHYDROLOGY RESEARCH
82025/12/31Developing an alternative data-driven model to resemble geomorphologic rainfall-runoff modelsHuang, Pin-Chun ; Lee, Kwan Tun GEOMATICS NATURAL HAZARDS & RISK
92024/11/9Development of a web-based platform for rainwater retention facility designLee, Kwan Tun ; Chien, Ta-Chun; Hung, Meng-Chiu; Cai, Chuo-Fang; Huang, Pin-Chun ; Lin, He-Chung; Tseng, Kuo-Fong; Hsu, Yu-Han; Liao, Yu-Hsun; Chen, Nai-KuangURBAN WATER JOURNAL
102022An effective alternative for predicting coastal floodplain inundation by considering rainfall, storm surge, and downstream topographic characteristicsHuang, Pin-Chun J HYDROL0
112024/5/24Estimation of riverbank erosion by combining channel morphological models with AI techniquesHuang, Pin-Chun GEOMATICS NATURAL HAZARDS & RISK
122021Improvement of Two-Dimensional Flow-Depth Prediction Based on Neural Network Models By Preprocessing Hydrological and Geomorphological DataPin-Chun Huang ; Hsu, Kuo-Lin; Lee, Kwan Tun WATER RESOURCES MANAGEMENT4
132019Influence of Topographic Characteristics on the Adaptive Time Interval for Diffusion Wave SimulationPin-Chun Huang ; Lee, Kwan Tun ; Gartsman, Boris I.WATER-SUI1
142021Influence of topographic features and stream network structure on the spatial distribution of hydrological responsePin-Chun Huang ; Lee, Kwan Tun JOURNAL OF HYDROLOGY4
152022An innovative partition method for predicting shallow landslides by combining the slope stability analysis with a dynamic neural network modelHuang, Pin-Chun CATENA0
162023A novel method of estimating dynamic partial contributing area for integrating subsurface flow layer into GIUH modelHuang, Pin-Chun ; Lee, Kwan Tun JOURNAL OF HYDROLOGY0
172025/8/11Performance Evaluation of a Substituted Topography-based Model To Forecast Rainfall and tide-induced Lowland FloodingHuang, Pin-Chun WATER RESOURCES MANAGEMENT
182025/10/1Predicting hydrological drought indices using a hybrid data-driven model incorporating hydrological, geomorphological, and human activity impactsHuang, Pin-Chun JOURNAL OF HYDROLOGY
192024/4/26Urban storm water prediction by applying machine learning techniques and geomorphological characteristicsHuang, Pin-Chun HYDROLOGICAL SCIENCES JOURNAL

 

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