Skip navigation
  • 中文
  • English

DSpace CRIS

  • DSpace logo
  • 首頁
  • 研究成果檢索
  • 研究人員
  • 單位
  • 計畫
  • 分類瀏覽
    • 研究成果檢索
    • 研究人員
    • 單位
    • 計畫
  • 機構典藏
  • SDGs
  • 登入
  • 中文
  • English
  1. National Taiwan Ocean University Research Hub
國立臺灣海洋大學

Huang, PC

研究人員網路 瀏覽統計 Email 通知 RSS Feed

  • 簡歷
  • 指標
  • 研究成果 19
  • 計畫與補助 4

研究成果
  • 全部
  • 期刊文章

依作者

  • 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
  • . < 上一頁

主題

  • 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
  • . 下一頁 >

依日期

  • 18 2020 - 2026
  • 1 2010 - 2019

依類型

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

全文

  • 19 no fulltext


第 1 到 19 筆結果,共 19 筆。

公開日期標題作者來源出版物scopusWOS全文
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

 

申請連結研究人員資料

Check the encrypted string of this email, put the correct string in the box below and click "Go" to validate the email and claim this profile.

Emails: p i n c * * * * * * * * @ * * * * * . c o m

Go


Contact via feedback form

若您要聯絡網站管理員,請點選以下按鈕 
瀏覽
  • 機構典藏
  • 研究成果檢索
  • 研究人員
  • 單位
  • 計畫
DSpace-CRIS Software Copyright © 2002-  Duraspace   4science - Extension maintained and optimized by NTU Library Logo 4SCIENCE 回饋