In the United States, requirements for flood insurance, development restrictions, and federal buyout program eligibility rely on regulatory designation of hazardous zones, i.e., inside or outside the 100-year floodplain. Extensive research has investigated floodplain development patterns across different geographies, times, and scales, yet the impacts, and potential unintended consequences, of floodplain policies beyond their boundaries have not been empirically examined. We posit that the regulatory 100-year floodplain presents a "safe development paradox", whereby attempts to reduce flood risk paradoxically intensifies it by promoting development in and near flood-prone areas. We conducted the first comprehensive national assessment of historical and future development patterns related to the regulatory 100-year floodplain, examining the spatial distribution of developed land within increasingly distant 250-m zones from floodplain boundaries. We found a disproportionate concentration of developed land (24% or 89,080 km2 of developed land by 2019) in zones immediately adjacent to the floodplain, a trend observed at the national, state, and county levels. Nationwide projections suggest that approximately 22% of all anticipated growth from 2020 to 2060 is likely to occur within 250 m from the 100-year floodplain, equivalent to 6,900 km2 of new development (SD = 2,842 km2). Understanding and anticipating the influence of flood management policies on current and future land use decisions is crucial for effective planning and mitigation strategies.
Download full-text PDF |
Source |
---|---|
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0311718 | PLOS |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11687735 | PMC |
PLoS One
December 2024
Center for Geospatial Analytics, North Carolina State University, Raleigh, North Carolina, United States of America.
In the United States, requirements for flood insurance, development restrictions, and federal buyout program eligibility rely on regulatory designation of hazardous zones, i.e., inside or outside the 100-year floodplain.
View Article and Find Full Text PDFSci Rep
April 2024
Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK, 99775, USA.
Int J Environ Res
March 2024
Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803 USA.
Unlabelled: Special flood hazard areas (SFHAs), defined as having an annual probability of occurrence of 1 percent or above, are used by U.S. Federal Emergency Management Agency (FEMA) to demarcate areas within which flood insurance purchase is required to secure a mortgage.
View Article and Find Full Text PDFJ Environ Manage
October 2023
Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, 395007, Gujarat, India. Electronic address:
In the current study, flood risk assessment of densely populated coastal urban Surat City, on the bank of the lower Tapi River in India, was conducted by combining the hydrodynamic model-based flood hazard and often neglected socioeconomic vulnerability. A two-dimensional (2D) hydrodynamic (HD) model was developed using physically surveyed topographic data and the existing land use land cover (LULC) of the study area (5248 km). The satisfactory performance of the developed model was ascertained by comparing the observed and simulated water levels/depths across the river and floodplain.
View Article and Find Full Text PDFJ Environ Manage
January 2023
Department of Civil and Environmental Engineering, Votey Building, 33 Colchester Ave., University of Vermont, Burlington VT, 05405, USA.
Floodplain reconnection and wetland restoration projects are increasingly implemented to enhance flood resiliency, and these nature-based solutions can also achieve co-benefits of nutrient storage and improved habitats. Considering the multiple and sometimes incompatible objectives of stakeholders for uses of riverside lands, a decision-support tool linked to a hydraulic model would enable planners to simulate floodplain restoration scenarios while also quantifying and assessing the trade-offs between the stakeholder objectives to arrive at optimal restoration designs. We illustrate a simple ranking approach using an n-dimensional objective function to represent key stakeholders engaged in restoration.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!