The hazard components of National Flood Insurance Program (NFIP) claims data in Florida were systematically analyzed and revised the current study. provided fields NFIP are not always complete or accurate often missing. authors associated each claim to a proper flood event by updating catastrophe number using Hurricane Center HURDAT2 (best track data). with presumably incorrect cause loss ident...

Little is known about how affected residents are able to cope with the financial shock of a natural disaster. We investigate the impact that flooding from a major US hurricane had on household finance. Spikes in credit card borrowing and overall delinquency rates for the most flooded residents are modest in size and short-lived. Greater flooding results in larger reductions in total debt. Lower...

In order to give an answer to the question, ”What is the origin of the interest of the asymptotic dependence of elliptic random variables?” one has to go back several dozen years. Already in the years 1950’s and 1960’s researchers discovered the non-normal behaviour of financial market data. In the early 1990’s an understanding of the methodology underlying financial or insurance extremes becam...

Remotely sensed data has the potential to monitor natural hazards and their consequences on socio-economic systems. However, in much of world, inadequate validation disaster damage make reliable use satellite difficult. We attempt strengthen for one application - flood index insurance which manage largely uninsured losses from floods. Flood is a particularly challenging remote sensing due flood...

flood is considered as a major threat among natural disasters in the world. this case becomes more important and has a higher risk in urban areas due to the existence of important uses. therefore, to reduce damages resulted from flood, this phenomenon must be managed and planned using structural and non-structural approaches. considering the development in iran has been carried out in high risk...

A new agricultural flood losses prediction method using digital elevation data combined with agricultural economic data is presented. The method is based on dynamically simulating the procedure of flood out. An example in Huangdunhu flood detention area, Jiangshu province of China has been given to describe how to use it to predict the incoming agricultural losses. Compared with prior methods, ...