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1	Digital flood insurance rate maps and their influence on Cameron Parish, Louisiana, post-Hurricane Rita Pryll, Jaclyn Marie 16 August 2010 (has links) Cameron Parish, Louisiana, was impacted by one of the most devastating hurricane seasons in U.S. history in 2005. Three weeks after Hurricane Katrina hit New Orleans, Hurricane Rita stormed over the Texas-Louisiana border delivering another debilitating blow to the Louisiana coast and creating devastation along the southwestern coastline. In March 2008, the Federal Emergency Management Agency (FEMA) updated the Flood Insurance Rate Maps (FIRMs) for Cameron Parish. These maps rezoned much of Cameron Parish by placing a majority of the parish's land in a flood zone rating of V or higher. FEMA's reluctance to provide federal disaster funds to substantially redevelop and newly construct buildings in areas classified as a flood zone rating of V or higher makes it difficult for Cameron Parish to redevelop as they desperately need federal assistance. This research analyzes Cameron Parish's resources to protect against the hurricane before it hit as well as roles of the federal, state, and local governing bodies on its future development through planning initiatives after the hurricane. Using literature review, state and local media coverage, and interviews with professionals in the field of planning and engineering, this report found that it took a massive hurricane to convey the need for planning in Cameron Parish, and that the flood maps used to provide risk do not communicate risk management as efficiently or accurately as intended. / text Insurance Planning Government Louisiana Natural disaster NFIP
2	Wake-up Call in East Tennessee? Correlating Flood Losses to National Flood Insurance Program Enrollment (1978-2006) Luffman, Ingrid E. 01 September 2010 (has links) The National Flood Insurance Program (NFIP) provides federally-backed insurance for properties in Special Flood Hazard Areas, yet many property owners do not enroll in the program. I compared flood losses and flood insurance enrollment for three Tennessee communities: Chattanooga, Elizabethton and Pigeon Forge, to investigate the relationship between flooding and NFIP enrollment. Normalized flood losses and insurance purchases were cross-correlated using lags of zero through nine years to investigate the relationship between flood losses in one year and NFIP enrollment in subsequent years. The correlation between flood losses and NFIP enrollment is significant (r = 0.39 and 0.42 respectively, p<0.05) in the year in which flood losses occurred for Chattanooga and Elizabethton. In Pigeon Forge, flood losses correlate to NFIP enrollment in the following year (r=0.43, p=0.02). cross-correlation flood NFIP Tennessee Geosciences
3	Risk Perceptions, Risk Preferences, Risk Ambiguity, and Flood Insurance Lee, Jihyun 12 May 2012 (has links) This thesis presents an analysis of subjective risk information and participation in the National Flood Insurance Program (NFIP). Data are taken from a survey of residents in flood-prone coastal regions in the southeastern U.S. Regression models are constructed to better understand factors affecting individuals’ perceived risk ambiguity related to flood risk and the role of risk preferences, risk perceptions, and especially risk ambiguity, on the decision to purchase flood insurance. This is the first study not only of the influence of risk ambiguity on NFIP participation, but also of the impact of using different risk perception measures. Results indicate that NFIP participation is significantly affected by mean perceived risk, but the influence of range/variance of perceived risk, which presents one’s perceived ambiguity, is mixed. endogeneity National Flood Insurance Program (NFIP) probit with instrumental variable subjective risk
4	Community learning for flood mitigation: using the Community Rating System (CRS) scores as an indicator Amon, Kelvin Kofi Koteyfio 06 August 2021 (has links) The National Flood Insurance Program (NFIP) introduced the Community Rating System (CRS) to encourage community-level flood mitigation and increase individual-level flood insurance uptake. This study analyzes what factors influence communities to participate in the CRS and conditional on participation, what factors affect the type and intensity of participation over time? I used historical data of policies-in-force, claims, CRS participation, and U.S. Census American Community Survey for all NFIP communities in 11 key states to answer these questions. The results show socio-demographic factors significantly and positively predict communities' likelihood of participating in the CRS, whilst flood risk variables of claims and policies held do not. Further, flood risk variable (claims payment received) as well as socio-demographic variable (income) positively influence the intensity of communities' participation in the CRS over time. Claims Community Rating System (CRS) National Flood Insurance Program (NFIP) Flood Risk
5	INTERNSHIP WITH OHIO DEPARTMENT OF NATURAL RESOURCES FLOODPLAIN MANAGEMENT PROGRAM Lesher, Matthew Allen 26 November 2007 (has links) No description available. Environmental Sciences Environment Science Ohio Department of Natural Resources ODNR National Flood Insurance Program NFIP
6	Quantification of the Effect of Bridge Pier Encasement on Headwater Elevation Using HEC-RAS Sharma Subedi, Abhijit 21 August 2017 (has links) No description available. Civil Engineering Climate Change Environmental Engineering Water Resource Management Transportation Rehabilitation Pier Pier encasement HEC-RAS Bridges Transportation Grand River Water surface elevation Headwater elevation Structures FEMA Winter ice jam Bridge deterioration Rehabilitation NFIP Slope Channel bottom width Generic channel section River

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