Wakayama University · Faculty of Systems Engineering

Research keywordsriver water-level prediction・radar rainfall・transfer learning・disaster evacuation・flood forecasting・hydrological modeling

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• 自家用車の利用と渋滞を想定した災害廃棄物の搬出計画の決定支援システム2026 · 丸山 結貴弥, 田内 裕人, 江種 伸之 (担当区分： 責任著者 )
• 浸水ナビAPIによる建物被害と災害廃棄物の事前推計2026 · 嶋吉 輝, 田内 裕人, 江種 伸之 (担当区分： 責任著者 )
• Building a Generalized Pre-Training Model to Predict River Water-Level from Radar Rainfall2025 · In our previous work, we proposed a river water-level prediction method using deep learning, incorporating radar rainfall data in place of water-level and rainfall stations upstream of the prediction point. By introducing a newly defined flow distance matrix, transfer learning becomes available, i.e., even when data at the prediction point is scarce, accurate water-level predictions are made using inundation data from other rivers. However, this approach requires pre-selecting rivers that behave similarly to the prediction point for training, making it laborious to build prediction models for multiple rivers. Furthermore, the previous study only performed predictions for a single river, raising uncertainty about whether the method is applicable to water-level prediction for other rivers with different conditions. In this paper, we construct a generalized river water-level prediction model commonly applicable to multiple Japanese rivers by using inundation data from all Japanese Class-A rivers (the major river systems managed by the government) for pre-training, rather than only the rivers similar to the prediction site. Through evaluation, we showed that pre-training using all Class-A rivers yields higher prediction accuracy than pre-training using similar rivers across multiple rivers with varying conditions. This demonstrates that using all Class-A rivers for pre-training enables the construction of a generalized river water-level prediction model applicable to a wide range of rivers.
• 活断層型地震を対象にした災害廃棄物の発生量・組成・空間分布の早期予測システム2025 · 丸山 結貴弥, 田内 裕人, 江種 伸之 (担当区分： 責任著者 )

• 広域における洪水流出解析を目的とした水文GISモデルの開発

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