PDF-Extreme Rainfall Events: Vulnerability Analysis for Disaster Managemen

P Goswami and K V Ramesh CSIR Centre for Mathematical Modelling and Computer Simulation Wind Tunnel Road Bangalore560 037 India 2 Research Report RR CM 0703 March 2007. and Disasters to Advance. Climate Change Adaptation. Special Report of the. Intergovernmental Panel on Climate Change. The IPCC was established by . the United . Nations Environment . Programme. (UNEP) and the World Meteorological Organization (WMO) to provide the world with . AJAY . SINGH, ANAND PATWARDHAN, ABHIJAT ABHYANKAR and NANDLAL SARDA. Presentation. Introduction. Importance of EXTREMES in changing climate. Data and Methodology. Findings. Conclusions . Introduction. Part 1. Authors: Marco . Cova. , . et al.. Presented by: Brett Parker and Tyler Maclean. Outline. Intro, Background, Trends. Technologies. Attacks. Vulnerability Analysis. Why web applications?. Growth of web-based applications over the years. Questions to assess vulnerability. + How likely is an extreme natural event and will it affect people?. + How vulnerable are people to natural hazards?. + To what extent are societies able to cope with severe and immediate disasters?. Michael L. Jurewicz, Sr.. WFO Binghamton, NY. Northeast Regional Operational Workshop. November 5, 2009 . AR TC Tracks and PRE Locations. All AR TC Tracks. . All AR PPTC Tracks; with PRE centroids (colored dots). Deborah Tootle. Community & Economic Development. Overview. Introduction to disasters. Vulnerability and resilience. Why asset mapping?. Vulnerability assessment and asset identification. Pulling it all together. Inter-relationship between Disaster and Development. FACTORS AFFECTING VULNERABILITY. Human Factors:. The severity of a disaster depends on both the physical nature of the extreme event and the social nature of the human populations affected by the event. Here are some important human factors that tend to influence disaster severity. A core point here is that . MDOT Climate Vulnerability. Assessment. Vulnerability Introduction. Identify types of risk MDOT infrastructure. Identify specific “at-risk” assets. Identify method to incorporate risk into asset management systems and FHWA Framework. Different statistical distributions that are used to more accurately describe the extremes of a distribution. Normal distributions don’t give suitable information in the tails of the distribution. Extreme value analysis is primarily concerned with modeling the low probability, high impact events well. Number of People Affected by Disasters1001502002503003504001990199119921993199419951996199719981999YearMillion2000 IFRC World Disaster ReportA disaster is an occurrence disruptingthe normal conditions ANIEL A FARBER JIM CHEN ROBERT RM VERCHICK DISASTER LAW AND POLICY 20347 2d ed 2012 examining evidence of social vulnerability in a larger context of disaster law and policy Davida Finger Laila Hlass UNIT . – . III. Prepared By- . Dr. Rumana Khatun . Assistant Professor. P.G. Deptt. of Geography. Utkal University, Vani Vihar, Bhubaneswar . . Hazards Planning and Risk Management. Lecture No. . 13 & 14. Risk Analysis and Assessment. Spring 2018. Learning . Outcome. Students will . Learn . how . to analyze and assess disaster related risks. perspective. Beata . Latos. 1. ,.  Thierry . Lefort. 2. , Maria . K. . Flatau. 3. , Donaldi Permana. 4. , Piotr . J. . Flatau. 5. , . Dariusz. . Baranowski. 1. , . Jaka. Paski. 4. , . Erwin Makmur.