Great a one page outline

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Engy Roufael

ENG 102

04/09/2021

Annotated Bibliography

Dizaji, Reza Abbaszadeh, Ali Ardalan, and Farin Fatemi. "Response functions in disasters: Iran

flash flood 2016." Disaster medicine and public health preparedness 13.5-6 (2019): 842-844.

From April 13 to 14, 2016, heavy rains followed by lightning and thunder passed through Iran's western

and southwestern provinces. The weather in this period was unprecedented, and flash flooding in 23

Iranian provinces. The study aims at Heavy planning and flooding in the western and southwestern

provinces of Iran in April 2016 left a destruction trail. This analysis aims to stress the intervention

functions to be executed as disasters occur. The data collection methods in this analysis included

secondary data such as records, internal reports, and formats conducted during flood response visits. Data

collected were then analyzed in conjunction with emergency management functions. The study

considered the early warning system announced by the Iran Meteorological Organization 1 week before

the flood became a good emergency response feature. The responding agencies' weaker roles were the

lack of cooperation and a protection officer in the flash flood hierarchy in the Incident Command System.

Slater, Louise J., and Gabriele Villarini. "Recent trends in US flood risk." Geophysical Research

Letters 43.24 (2016): 12-428.

Flooding is expected to rise as rising temperature increases the water retention potential of the

atmosphere and increases heavy precipitation frequency. Regional shifts in flood risk around the US,

however, are still little evidence. The results show strong geographic trends of changing flood risk that is

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generally stable across the four types of flooding. We demonstrate that these trends rely on the total

wetness and possible water storage, with profound consequences for controlling water supply, irrigation,

insurance, shipping, climate, and inhabitants living in areas of flooding.

Lee, Jongso, et al. "Development of rainfall-flood damage estimation function using nonlinear regression

equation." Journal of the Society of Disaster Information 12.1 (2016): 74-88.

For disaster planning, such as prevention, preparation, response, and recovery, prediction and estimation

of disaster characteristics are very important. If major flooding can be forecast before the flood, the

predicted or projected damage is a very useful solution and recovery knowledge for the decision-maker.

This analysis aimed to quickly forecast and assess flood damage, bearing in mind the extent and impact

of damage before the flood catastrophe.