Preprints
https://doi.org/10.5194/egusphere-2022-52
https://doi.org/10.5194/egusphere-2022-52
 
05 Apr 2022
05 Apr 2022

Intersecting Near-Real Time Fluvial and Pluvial Inundation Estimates with Sociodemographic Vulnerability to Quantify a Household Flood Impact Index

Matthew Preisser1,2, Paola Passalacqua1, R. Patrick Bixler2, and Julian Hofmann3 Matthew Preisser et al.
  • 1Environmental and Water Resources Engineering, University of Texas at Austin, Austin, Texas, USA
  • 2LBJ School of Public Affairs, University of Texas at Austin, Austin, Texas, USA
  • 3Institute of Hydraulic Eng. & Water Resources Management, RWTH Aachen University, Germany

Abstract. Increased interest in combining compound flood hazards and social vulnerability has driven recent advances in flood impact mapping. However, current methods to estimate event specific compound flooding at the household level require high-performance computing resources frequently not available to local stakeholders. Government and non-government agencies currently lack methods to repeatedly and rapidly create flood impact maps that incorporate local variability of both hazards and social vulnerability. We address this gap by developing a methodology to estimate a flood impact index at the household level in near-real time, utilizing high resolution elevation data to approximate event specific inundation from both pluvial and fluvial sources in conjunction with a social vulnerability index. Our analysis uses the 2015 Memorial Day flood in Austin, Texas as a case study and proof of concept for our methodology. We show that 37 % of the Census Block Groups in the study area experience flooding from only pluvial sources and are not identified in local or national flood hazard maps as being at risk. Furthermore, averaging hazard estimates to cartographic boundaries masks household variability, with 60 % of the Census Block Groups in the study area having a coefficient of variation around the mean flood depth exceeding 50 %. Comparing our pluvial flooding estimates to a 2D physics-based model, we classify household impact accurately for 92 % of households. Our methodology can be used as a tool to create household compound flood impact maps to provide computationally efficient information to local stakeholders.

Journal article(s) based on this preprint

01 Aug 2022
Intersecting near-real time fluvial and pluvial inundation estimates with sociodemographic vulnerability to quantify a household flood impact index
Matthew Preisser, Paola Passalacqua, R. Patrick Bixler, and Julian Hofmann
Hydrol. Earth Syst. Sci., 26, 3941–3964, https://doi.org/10.5194/hess-26-3941-2022,https://doi.org/10.5194/hess-26-3941-2022, 2022
Short summary

Matthew Preisser et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-52', Anonymous Referee #1, 10 May 2022
    • AC1: 'Reply on RC1', Paola Passalacqua, 26 May 2022
  • RC2: 'Comment on egusphere-2022-52', Anonymous Referee #2, 14 May 2022
    • AC2: 'Reply on RC2', Paola Passalacqua, 26 May 2022
  • CC1: 'Comment on egusphere-2022-52', Jiaqi Zhang, 26 May 2022
    • AC3: 'Reply on CC1', Paola Passalacqua, 06 Jun 2022

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-52', Anonymous Referee #1, 10 May 2022
    • AC1: 'Reply on RC1', Paola Passalacqua, 26 May 2022
  • RC2: 'Comment on egusphere-2022-52', Anonymous Referee #2, 14 May 2022
    • AC2: 'Reply on RC2', Paola Passalacqua, 26 May 2022
  • CC1: 'Comment on egusphere-2022-52', Jiaqi Zhang, 26 May 2022
    • AC3: 'Reply on CC1', Paola Passalacqua, 06 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (09 Jun 2022) by Hongkai Gao
AR by Paola Passalacqua on behalf of the Authors (09 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (14 Jun 2022) by Hongkai Gao
ED: Referee Nomination & Report Request started (08 Jul 2022) by Hongkai Gao
RR by Anonymous Referee #2 (08 Jul 2022)
ED: Publish as is (17 Jul 2022) by Hongkai Gao

Journal article(s) based on this preprint

01 Aug 2022
Intersecting near-real time fluvial and pluvial inundation estimates with sociodemographic vulnerability to quantify a household flood impact index
Matthew Preisser, Paola Passalacqua, R. Patrick Bixler, and Julian Hofmann
Hydrol. Earth Syst. Sci., 26, 3941–3964, https://doi.org/10.5194/hess-26-3941-2022,https://doi.org/10.5194/hess-26-3941-2022, 2022
Short summary

Matthew Preisser et al.

Matthew Preisser et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
There is rising concern in numerous fields regarding the inequitable distribution of human risk to floods. The co-occurrence of river and surface flooding is largely excluded from the leading flood hazard mapping services, therefore underestimating hazards. Using high-resolution elevation data and a region specific social vulnerability index, we developed a method to estimate flood impacts at the household level in near real-time.