Enhancing flood resilience, including the development of social capacity and early warning systems, in addition to structural measures, is one of the key solutions to mitigating flood damage, which will be more intensified in the future due to climate change. This study was conducted to develop a comprehensive methodology for enhancing flood resilience by improving society-wide disaster literacy under the governance formed through the active participation of all levels of stakeholders in Davao City, Philippines. Specifically, the development of the Online Synthesis System for Sustainability and Resilience, which integrates different disciplines, and the fostering of Facilitators, whose role is to interlink the science community and society, were implemented in a co-designing manner by the collective governance body. The development of basin- and barangay-scale hydrological models realized real-time flood forecasting and climate change impact assessment to identify intensified flood risk under the future climate. Co-designed e-learning workshops were held to foster about thirty Facilitators and help them produce twenty-one risk communication plans and workshop designs for fourteen barangays considering geographic, demographic, economic, and social features that they can utilize for public dissemination related to climate change adaptation to the target audiences in society. This paper presents a practical method to enhance flood resilience, demonstrating that the synthesis of science-based knowledge and human resource development can fill the gaps between the science community and society.

中小河川の水位予測システム構築時において，生じる問題の解決策を類型化するため，全国125河川の水位予測システムを構築した．構築する中で，(1)解析雨量の仕様の影響により小流域の水位波形の再現性が低い，(2)降雨プロダクトの精度が原因となり水収支が一致しない，(3)HQ式の精度低下により低水の再現性が低い，といった問題が生じていた．これらの問題の解決策として，(1)時間解像度のより細かい降雨プロダクトの使用，(2)他の降雨プロダクトの使用，(3)横断図修正によるHQ式の再作成，を提案した．特に降雨プロダクトの精度については，河川の空間的な位置や洪水時の降雨分布などに影響されるため，水収支の確認や地上雨量との比較を行い，適切な降雨プロダクトを選択することがモデル作成の観点から重要である．

流域の特性上，急激な水位上昇が起こりやすい中小河川におけるリアルタイム水位予測システムの構築に向け，表面流・中間流・河道流のような時定数が異なる流出過程を表現する降雨流出モデルに粒子フィルタを適用した際の応答特性について検討した．その結果，水位上昇時において粒子フィルタによる斜面水深に対する負の補正が働いた場合，流出の時間遅れによって予測水位が低下することが分かった．また，粒子フィルタの補正係数を逐次修正するアルゴリズムを加え，初期分布の与え方を変えることで予測水位の精度低下を改善できることを示した．