作者: Giuliano Di Baldassarre , Alberto Viglione , Gemma Carr , Linda Kuil , Kun Yan
DOI: 10.1002/2014WR016416
关键词: Empirical research 、 Socio-hydrology 、 Vulnerability 、 Environmental resource management 、 Adaptation (computer science) 、 Computer science 、 Development theory 、 Flood myth 、 Flood risk assessment 、 Flooding (psychology) 、 Hydrology
摘要: In flood risk assessment, there remains a lack of analytical frameworks capturing the dynamics emerging from two-way feedbacks between physical and social processes, such as adaptation levee effect. The former, “adaptation effect”, relates to observation that occurrence more frequent flooding is often associated with decreasing vulnerability. latter, “levee non-occurrence (possibly caused by protection structures, e.g. levees) increasing As current do not capture these dynamics, projections future are realistic. this paper, we develop new approach whereby mutual interactions continuous floods societies explicitly accounted for. Moreover, show an application using socio-hydrological model simulate behavior two main prototypes societies: green societies, which cope resettling out flood-prone areas; technological deal also building levees or dikes. This shows proposed able explain aforementioned (i.e. effect) therefore contribute better understanding changes in risk, within iterative process theory development empirical research.