Flood loss and social vulnerability in the US and pathways to unmet need reduction
Abstract
Details
- Title: Subtitle
- Flood loss and social vulnerability in the US and pathways to unmet need reduction
- Creators
- Md Asif Rahman
- Contributors
- Eric Tate (Advisor)Margaret Carrel (Committee Member)Caglar Koylu (Committee Member)Silvia Secchi (Committee Member)Antonio Arenas Amado (Committee Member)
- Resource Type
- Dissertation
- Degree Awarded
- Doctor of Philosophy (PhD), University of Iowa
- Degree in
- Geography
- Date degree season
- Summer 2023
- DOI
- 10.25820/etd.006955
- Publisher
- University of Iowa
- Number of pages
- x, 122 pages
- Copyright
- Copyright 2023 Md Asif Rahman
- Language
- English
- Date submitted
- 07/25/2023
- Description illustrations
- illustrations, tables, maps, graphs
- Description bibliographic
- Includes bibliographical references (pages 107-122).
- Public Abstract (ETD)
- The impact of flooding in the US has increased over the last few decades, and due to climate change, it will continue to affect more people and communities. To reduce the possibility of further impact, we need to understand which assets, such as crops, and which groups of the population will suffer the most.
In my dissertation, I calculated the potential annual loss of agriculture from flood events for the contiguous US. I also outlined which areas in the country have the highest and lowest losses. Social vulnerability refers to the conditions of individuals or communities that make them more susceptible to hazard impact. In my second study, I examined how different groups of socially vulnerable populations are influenced by agricultural and building flood loss. Finally, I identified which social and economic characteristics of flood-affected households most influence the efforts to reduce unmet needs.
The results indicate that flood-related agriculture losses are concentrated primarily in the corn and soybean belt of the US Midwest and Mississippi River Basin, with an expected annual loss of approximately $546 million. In areas with higher building losses, housing value, unoccupied housing units, and renter population are the most explanatory factors. For areas with higher agricultural losses, the most explanatory factors are employment in extractive industries, Asian populations, and civilian unemployment. Finally, among a group of flood-affected and socially vulnerable households, those with fewer social vulnerability attributes had the strongest causal pathways to the reduction of health and social unmet needs. In summary, the findings of this dissertation can help develop better approaches to mitigate the severity of flood impacts.
- Academic Unit
- Geographical and Sustainability Sciences
- Record Identifier
- 9984454741702771