نتایج جستجو برای: flood insurance
تعداد نتایج: 74908 فیلتر نتایج به سال:
Abstract We used a hypothetical choice experiment to estimate the effect of dwelling value and coverage limits on probability purchasing flood insurance while holding flooding price constant. The results indicate that demand for is negatively associated with amount coverage. For people assigned higher-valued dwellings, however, opposite observed. Since more generally preferred less, all else be...
Abstract Climate change is an underlying cause of many extreme events such as enormous cyclones and erratic torrential rains. These phenomena threaten farmers in coastal regions Myanmar. Self-insurance through means crop diversification insufficient for sustainable farm management. Weather index insurance (WII) receiving much attention because its low management costs. An optimum WII contract f...
We have developed a framework for flood mitigation risk analysis that applies generally to floods, and have applied it in this study of flood mitigation risk analysis for the Raritan Basin in New Jersey, USA. The framework we have developed involves a conceptual model of the relation among meteorological activity, hydrological models, infrastructure intervention, fine-grained topography, and ec...
Floods are considered as most destructive among all natural hazards which impose lots of damages on human societies. Hence, it is important to estimate such damages and losses and to determine flood impact areas for management plans. HEC-FIA software as a new model (Sep. 2012) was used in Ghohrood and Ghamsar watershed basins to estimate flood-driven losses and impacts. In this model, HEC-RAS a...
We thank Black (2008) for his thoughtful assembly of diverse perspectives including ours on why another disastrous Mississippi River flood occurred so soon after 1993. We have an update that elucidates and quantifies several key points of his article, particularly that a) flood frequency and heights are increasing, b) water levels for regulatory “100-year” floods are profoundly underestimated, ...
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