Smith, A. B. U.S. Billion-dollar Weather and Climate Disasters, 1980–Present (NCEI, 2020); https://doi.org/10.25921/stkw-7w73
National Academies of Sciences, Engineering, and Medicine Framing the Challenge of Urban Flooding in the United States (National Academies Press, 2019).
Rainey, J. L., Brody, S. D., Galloway, G. E. & Highfield, W. E. Assessment of the growing threat of urban flooding: a case study of a national survey. Urban Water J. 18, 375–381 (2021).
Google Scholar
Gall, M., Borden, K. A., Emrich, C. T. & Cutter, S. L. The unsustainable trend of natural hazard losses in the United States. Sustainability 3, 2157–2181 (2011).
Google Scholar
Zhang, W., Villarini, G., Vecchi, G. A. & Smith, J. A. Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston. Nature 563, 384–388 (2018).
Google Scholar
Davenport, F. V., Burke, M. & Diffenbaugh, N. S. Contribution of historical precipitation change to US flood damages. Proc. Natl Acad. Sci. USA 118, e2017524118 (2021).
Google Scholar
Hino, M. & Nance, E. Five ways to ensure flood-risk research helps the most vulnerable. Nature 595, 27–29 (2021).
Google Scholar
Bullard, R. D. & Wright, B. The Wrong Complexion for Protection: How the Government Response to Disaster Endangers African American Communities (New York Univ. Press, 2012).
Chambliss, S. E. et al. Local- and regional-scale racial and ethnic disparities in air pollution determined by long-term mobile monitoring. Proc. Natl Acad. Sci. USA 118, e2109249118 (2021).
Google Scholar
Chakraborty, J., Collins, T. W. & Grineski, S. E. Exploring the environmental justice implications of Hurricane Harvey flooding in Greater Houston, Texas. Am. J. Public Health 109, 244–250 (2019).
Google Scholar
Siders, A. R. & Keenan, J. M. Variables shaping coastal adaptation decisions to armor, nourish, and retreat in North Carolina. Ocean Coast. Manag. 183, 105023 (2020).
Google Scholar
Wing, O. E. J. et al. Inequitable patterns of US flood risk in the Anthropocene. Nat. Clim. Change 12, 156–162 (2022).
Google Scholar
Finch, C., Emrich, C. T. & Cutter, S. L. Disaster disparities and differential recovery in New Orleans. Popul. Environ. 31, 179–202 (2010).
Google Scholar
WMO Atlas of Mortality and Economic Losses from Weather, Climate and Water Extremes (1970–2019) (World Meteorological Organization, 2021).
Brakenridge, R. Global Active Archive of Large Flood Events, 1985–Present (Dartmouth Flood Observatory, 2021); https://floodobservatory.colorado.edu/Archives/index.html
Tate, E., Rahman, M. A., Emrich, C. T. & Sampson, C. C. Flood exposure and social vulnerability in the United States. Nat. Hazards 106, 435–457 (2021).
Google Scholar
Porter, K. et al. Overview of the ARkStorm Scenario (USGS, 2011); https://pubs.usgs.gov/of/2010/1312/
Ralph, F. M., Dettinger, M. D., Cairns, M. M., Galarneau, T. J. & Eylander, J. Defining “atmospheric river”: how the glossary of meteorology helped resolve a debate. Bull. Am. Meteorol. Soc. 99, 837–839 (2018).
Google Scholar
Jones, L. M. The Big Ones: How Natural Disasters have Shaped Us (and What we can do About Them) (Anchor Books, 2019).
Population Estimates for Los Angeles County for July 1, 2021 (U.S. Census Bureau, accessed 1 February 2022); https://www.census.gov/quickfacts/losangelescountycalifornia
Regional Data, GDP and Personal Income for Los Angeles, CA (U.S. Bureau of Economic Analysis, accessed 1 February 2022); https://apps.bea.gov/itable/iTable.cfm?ReqID=70&step=1&acrdn=5
Orsi, J. Hazardous Metropolis: Flooding and Urban Ecology in Los Angeles (Univ. of California Press, 2004).
Wing, O. E. J. et al. Validation of a 30 m resolution flood hazard model of the conterminous United States. Water Resour. Res. 53, 7968–7986 (2017).
Google Scholar
Bates, P. D. et al. Combined modeling of US fluvial, pluvial, and coastal flood hazard under current and future climates. Water Res. 57, e2020WR028673 (2021).
Sheng, J. & Wilson, J. P. Watershed urbanization and changing flood behavior across the Los Angeles metropolitan region. Nat. Hazards 48, 41–57 (2009).
Google Scholar
Hydraulics Report. Floodplain Analysis, Los Angeles River: Barham Boulevard to First Street. Flood Plain Management Services Special Study. Los Angeles, California (U.S. Army Corps of Engineers, 2016); https://eng2.lacity.org/projects/LARIVER_Glendale_Narrows/docs/LAR_FPMS_Hydraulic_Report_FINAL_October2016_CompleteDocument.pdf
Levee Certification Program (Los Angeles County Department of Public Works, accessed 1 February 2022); https://dpw.lacounty.gov/wmd/nfip/dsp_LeveeCertificationFAQs.aspx
Levee Safety Program. Inspection Summaries for the Los Angeles River, San Gabriel River, Rio Hondo Channel, and Compton Creek (US Army Corps of Engineers, 2022); https://www.spl.usace.army.mil/Missions/Civil-Works/Levee-Safety-Program/
Engineering and Design, Safety of Dams—Policy and Procedures (US Army Corps of Engineers, 2011).
Kahl, D. T., Schubert, J. E., Jong-Levinger, A. & Sanders, B. F. Grid edge classification method to enhance levee resolution in dual-grid flood inundation models. Adv. Water Res. 168, 104287 (2022).
Google Scholar
County of Los Angeles Open Data (County of Los Angeles, accessed 1 February 2022); https://data.lacounty.gov/
American Community Survey 5-Year Data (2009–2019): Detailed Tables (U.S. Census Bureau, 2020); https://www.census.gov/data/developers/data-sets/acs-5year.html
Messager, M. L., Ettinger, A. K., Murphy-Williams, M. & Levin, P. S. Fine-scale assessment of inequities in inland flood vulnerability. Appl. Geogr. 133, 102492 (2021).
Google Scholar
Dorfman, R. A formula for the Gini coefficient. Rev. Econ. Stat. 61, 146 (1979).
Google Scholar
Mach, K. J. et al. Managed retreat through voluntary buyouts of flood-prone properties. Sci. Adv. 5, eaax8995 (2019).
Google Scholar
Lehmann, M., Major, D. C., Fitton, J. M., Doust, K. & O’Donoghue, S. Towards a typology for coastal towns and small cities for climate change adaptation planning. Ocean Coast. Manag. 212, 105784 (2021).
Google Scholar
Sanders, B. F. & Grant, S. B. Re‐envisioning stormwater infrastructure for ultrahazardous flooding. WIREs Water 7, e1414 (2020).
Markhvida, M., Walsh, B., Hallegatte, S. & Baker, J. Quantification of disaster impacts through household well-being losses. Nat. Sustain. 3, 538–547 (2020).
Google Scholar
Shi, L. From Progressive cities to resilient cities: lessons from history for new debates in equitable adaptation to climate change. Urban Aff. Rev. 57, 1442–1479 (2021).
Google Scholar
Domingue, S. J. & Emrich, C. T. Social vulnerability and procedural equity: exploring the distribution of disaster aid across counties in the United States. Am. Rev. Public Admin. 49, 897–913 (2019).
Google Scholar
Hornbeck, R. & Naidu, S. When the levee breaks: black migration and economic development in the American South. Am. Econ. Rev. 104, 963–990 (2014).
Google Scholar
Smiley, K. T. Social inequalities in flooding inside and outside of floodplains during Hurricane Harvey. Environ. Res. Lett. 15, 0940b3 (2020).
Google Scholar
Winsemius, H. C., Van Beek, L. P. H., Jongman, B., Ward, P. J. & Bouwman, A. A framework for global river flood risk assessments. Hydrol. Earth Syst. Sci. 17, 1871–1892 (2013).
Google Scholar
Bakkensen, L. & Barrage, L. Flood Risk Belief Heterogeneity and Coastal Home Price Dynamics: Going Under Water? (NBER, 2017); http://www.nber.org/papers/w23854.pdf; https://doi.org/10.3386/w23854
2015–2016 LARIAC Lidar: Los Angeles Region, CA. (OCM Partners, 2022); https://www.fisheries.noaa.gov/inport/item/55233
Galloway, G. E. Flood risk management in the United States and the impact of Hurricane Katrina. Int. J. River Basin Manag. 6, 301–306 (2008).
Google Scholar
Sanders, B. F. et al. Collaborative modeling with fine‐resolution data enhances flood awareness, minimizes differences in flood perception, and produces actionable flood maps. Earth’s Future 8, 2019 (2020).
Google Scholar
Goodrich, K. A. et al. Addressing pluvial flash flooding through community-based collaborative research in Tijuana, Mexico. Water 12, 1257 (2020).
Google Scholar
Glossary (U.S. Census Bureau, 2022); https://www.census.gov/programs-surveys/geography/about/glossary.html
Carpiano, R. M. Neighborhood social capital and adult health: an empirical test of a Bourdieu-based model. Health Place 13, 639–655 (2007).
Google Scholar
Sampson, R. J., Raudenbush, S. W. & Earls, F. Neighborhoods and violent crime: a multilevel study of collective efficacy. Science 277, 918–924 (1997).
Google Scholar
Wodtke, G. T., Elwert, F. & Harding, D. J. Neighborhood effect heterogeneity by family income and developmental period. Am. J. Sociol. 121, 1168–1222 (2016).
Google Scholar
Stata: Release 17 Multivariate Statistics Reference Manual (StataCorp, 2021).
The CDC/ATSDR Social Vulnerability Index (CDC/ATSDR SVI) (The Center for Disease Control and Agency for Toxic Substances and Disease Registry, accessed 1 February 2022); https://www.atsdr.cdc.gov/placeandhealth/svi/index.html
The Social Vulnerability Index (SoVI) 2010–2014 (The University of South Carolina Hazards and Vulnerability Research Institute, accessed 1 February 2022); https://www.sc.edu/study/colleges_schools/artsandsciences/centers_and_institutes/hvri/data_and_resources/sovi/index.php
Zuzak, C. et al. The national risk index: establishing a nationwide baseline for natural hazard risk in the US. Nat. Hazards https://doi.org/10.1007/s11069-022-05474-w (2022).
Sanders, B. F. & Schubert, J. E. PRIMo: parallel raster inundation model. Adv. Water Resour. 126, 79–95 (2019).
Google Scholar
Los Angeles County Storm Drain (Los Angeles County Public Works, accessed 1 February 2022); https://pw.lacounty.gov/fcd/StormDrain/index.cfm
Perica, S. et al. Precipitation-Frequency Atlas of the United States, California NOAA Atlas 14 Vol. 6 v.2.3 (NOAA, 2014).
Ragno, E., AghaKouchak, A., Cheng, L. & Sadegh, M. A generalized framework for process-informed nonstationary extreme value analysis. Adv. Water Res. 130, 270–282 (2019).
Google Scholar
Moftakhari, H., Schubert, J. E., AghaKouchak, A., Matthew, R. A. & Sanders, B. F. Linking statistical and hydrodynamic modeling for compound flood hazard assessment in tidal channels and estuaries. Adv. Water Resour. 128, 28–38 (2019).
Google Scholar
Sayers, P. et al. Believe it or not? The challenge of validating large scale probabilistic risk models. E3S Web Conf. 7, 11004 (2016).
Google Scholar
World Terrain Base (ESRI, 2022); https://www.arcgis.com/home/item.html?id=33064a20de0c48d2bb61efa8faca93a8
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