Yoshihisa KAWAHARA 研究室

AI 要約（直近 5 年の研究成果）

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

研究成果（11 件）

• [2024] Impact Assessment of Flushing Flow from a Dam to Invasive Aquatic Plant Egeria densa in a Gravel-bed River
  DOI: https://doi.org/10.1007/s12205-024-1465-x
• [2024] A Filtering Approach to the Estimation of Model Parameters in the Vegetative Canopy Model
  DOI: https://doi.org/10.1007/s12205-024-1456-y
• [2024] ENHANCED RAINFALL-RUNOFF-FLOOD SIMULATION WITH RRI MODEL INCORPORATING RIVER VEGETATION RESISTANCE BASED ON 2D NUMERICAL CALCULATION RESULTS AND SLOPE DIRECTION SURFACE FLOW FLUX
  DOI: https://doi.org/10.2208/journalofjsce.23-00215
• [2022] ON NUMERICAL PREDICTION OF VEGETATED FLOWS WITH UNDISTURBED-FLOW EFFECTS
  DOI: https://doi.org/10.2208/jscejhe.78.1_23
• [2022] Study on numerical calculation of flow structures in a curved open channel with advanced depth-integrated models
  DOI: https://doi.org/10.1088/1755-1315/1065/1/012004
• [2022] Numerical calculations of three-dimensional flow structures in curved open channels with advanced depth-integrated models
  DOI: https://doi.org/10.3850/iahr-39wc252171192022827
• [2022] Predictability Improvement of Band-shaped Precipitation Systems in the Frontal Rainfall Using XRAIN Data
  DOI: https://doi.org/10.3178/jjshwr.35.1738
• [2021] STUDY ON AN EVALUATION METHOD OF INITIATION PROBABILITY OF DEBRIS FLOWS DURING HEAVY RAINFALL
  DOI: https://doi.org/10.2208/journalofjsce.9.1_94
• [2021] FLOOD ANALYSIS IN THE NUTA RIVER BASIN DURING THE HEAVY RAIN IN JULY 2018
  DOI: https://doi.org/10.2208/journalofjsce.9.1_221
• [2021] ENHANCED RAINFALL-RUNOFF-FLOOD SIMULATION WITH RRI MODEL INCORPORATING RIVER VEGETATION RESISTANCE BASED ON 2D NUMERICAL CALCULATION RESULTS AND SLOPE DIRECTION SURFACE FLOW FLUX
  DOI: https://doi.org/10.2208/jscejhe.77.1_84

科研費（0 件）

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所属学会・役職（0 件）

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