As the prevention of all water disasters by using of structural measures is very difficult, the present task is to construct non-structural disaster measures as well as the usual structural ones. The importance of overland flood flow analysis increases for examination of these various counter measures. The aim of this study is to develop the synthetic system for analysing water phenomenon in river, sea and urban region in flooding. The heavy rain in Tokai district is treated in this study. The suitable distribution of inundation water depth is obtained in the inundation states of the urban area. From the simulation results, the validity of the numerical analysis models systematized here and the effect of the sewer system in flood is discussed.

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Sufficient investigation of flood flow is very important to protect an urban area from the flood disaster. Because flood flow is boundary condition for analysis of the overland flood flow, flood flow must be simulated in detail. In this study, the flood flow situation in the SHOUNAI River due to the heavy rain in Tokai district is simulated. This model consists 2D model for sea region and 1 D model for river. Though the problem of roughness coefficient remains unsolved, the computed results show good agreement with the observed water level. The control effect of Otai retarding basin in the SHOUNAI River is evaluated targeting heavy rain in Tokai district. It is shown that the control volume of Otai retarding basin is very small against the discharge of the SHOUNAI River during the Tokai heavy rain, there fore, the height of dike for Otai retarding basin must be evaluated for peak-cut.

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On a heavy rainfall in September 2011, Nagoya city issued evacuation recommendation to more than a million citizens and resultantly only around 4800 citizens followed. When we have to prepare for coming serious disaster due to climate change to overcome remained vulnerability, it is necessary to study how to manage risk against severe heavy rainfall and subsequent flood disasters. Then it is important to compare this time event with Tokai heavy rainfall disaster in 2000 when we discussed how to overcome urban flood disaster due to a torrential downpour and continued improvement of preparedness against it. This study aim to compare two events in 2000 and 2011 each other, to clarify how we have advanced our preparedness against heavy rainfall disasters, and how to overcome remaining difficulties, from the conceptual discussion of risk management composed of the concepts of hazard, exposure and vulnerability (or resilience).

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　本研究では，塗替え塗装鋼板の腐食劣化特性を求めるため，実際に36年間供用された鋼橋の桁に3種類の素地調整及び4種類の塗装系を用いて塗替え塗装を施すことにより供試体を製作し，これらを用いて300日間の塩水噴霧複合サイクルの環境促進実験を行った．供試体は100日経過ごとに3体ずつ取出し，クロスカット部からのふくれ面積や光沢度保持率などを計測することにより劣化度を評価した．3種類の素地調整と4種類の塗装系を組み合わせて，それぞれを施した供試体の経時的な劣化特性を明らかにし，これらを比較検討することにより，素地調整の程度や塗装系による腐食劣化特性の違いを把握した．また，ふくれ面積を用いた劣化曲線を作成することによる塗替え時期の推定法を提案し，鋼橋塗装の合理的な維持管理計画に向けた基礎的データを提供した．

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情報システムの重要性は益々増大しているが，東日本大震災後の調査でも万一に備えた対応を考える事業継続計画の策定が必ずしも十分ではない。経営トップの無関心や最初から100%完璧な計画の策定を想定しているためとも思われる。本稿では，守るべき情報資産と事業継続を脅かすリスクについて考察した。主なリスクである大規模地震や台風・集中豪雨，テロ，その他（突発的大規模停電）について，事業継続を考える上で必要な事柄を過去の知見から得られた内容について考察した。事業継続計画の文書化に役立ち，机上や実践的訓練に役立てるものと考えている。文書化と訓練の相乗効果が，事業継続計画策定のキーポイントになる。

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3D lazer scanners with motor-driven X-Y stage are often used to measure the surface roughness of corroded specimens. However, due to the limitations of these apparatuses, the specimen surfaces, such as upper surface, lower surface and side surfaces, must be measured indivisually by changing the locations of the specimen or the lazer scanner. Therefore, in order to generate the 3D numerical models of corroded specimens, it is necessary to unify these indivisual surface data sets. Herein, an accurate method is proposed to unify adjacent two indivisual surface data sets by utilizing the centers of three globes as benchmarks common to the two surfaces. The surface data of the globes measured by the lazer scanner can be used to identify their center locations accurately. The repetition of this procedure leads to the generation of a fully 3D-numerical model.

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