Print Email Facebook Twitter Exploring adaptation pathways in terms of flood risk management at a city scale - A case study for Shanghai city Title Exploring adaptation pathways in terms of flood risk management at a city scale - A case study for Shanghai city Author Ke, Qian (Deltares) Haasnoot, M. (TU Delft Policy Analysis; Deltares; Universiteit Utrecht) Hoogvliet, Marco (Deltares) Date 2016 Abstract Cities are vulnerable to flooding and historical events, for instance Hurricane Sandy in 2012, have showed that losses in the cities are costly. In the context of climate change and socio-economic development, future flood risk will inevitably rise; adaptive measures, for instance upgrading of sea dikes and floodwalls, improving drainage systems and implementing green infrastructures, are proposed under the changing environment in the cities. A question of when to implement what measures in the cities over time is then brought up. The approach of dynamic adaptive policy pathways is applied to formulate adaptation pathways for a case study of Shanghai to explore the optimal investment strategy in context of deep uncertainties. Adaptation concept is not only aiming to achieve optimal strategy but also to determine when to implement the measures. The adaptation pathways for three types of floods (coastal flood, river flood and pluvial flood) in Shanghai were formulated through a preliminary qualitative analysis. This could provide an insight to the long-term feasibility of adaptive flood risk strategies. This research could provide a rational indication for policy/decision makers on future adaptation strategy at the city scale. To reference this document use: http://resolver.tudelft.nl/uuid:0460cd3f-9e9b-405a-ae68-7d3533edeeb4 DOI https://doi.org/10.1051/e3sconf/20160721002 Source E3S Web of Conferences, 7 Part of collection Institutional Repository Document type journal article Rights © 2016 Qian Ke, M. Haasnoot, Marco Hoogvliet Files PDF e3sconf_flood2016_21002.pdf 536.58 KB Close viewer /islandora/object/uuid:0460cd3f-9e9b-405a-ae68-7d3533edeeb4/datastream/OBJ/view