Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height
Evaluating flood risk is an essential component of understanding and increasing community resilience. A robust approach for quantifying flood risk in terms of average annual loss (AAL) in dollars across multiple homes is needed to provide valuable information for stakeholder decision-making. This re...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-01-01
|
| Series: | Frontiers in Big Data |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdata.2022.997447/full |
| _version_ | 1828068497410752512 |
|---|---|
| author | Ayat Al Assi Ayat Al Assi Ayat Al Assi Rubayet Bin Mostafiz Rubayet Bin Mostafiz Rubayet Bin Mostafiz Carol J. Friedland Carol J. Friedland Md Adilur Rahim Md Adilur Rahim Md Adilur Rahim Robert V. Rohli Robert V. Rohli |
| author_facet | Ayat Al Assi Ayat Al Assi Ayat Al Assi Rubayet Bin Mostafiz Rubayet Bin Mostafiz Rubayet Bin Mostafiz Carol J. Friedland Carol J. Friedland Md Adilur Rahim Md Adilur Rahim Md Adilur Rahim Robert V. Rohli Robert V. Rohli |
| author_sort | Ayat Al Assi |
| collection | DOAJ |
| description | Evaluating flood risk is an essential component of understanding and increasing community resilience. A robust approach for quantifying flood risk in terms of average annual loss (AAL) in dollars across multiple homes is needed to provide valuable information for stakeholder decision-making. This research develops a computational framework to evaluate AAL at the neighborhood level by owner/occupant type (i.e., homeowner, landlord, and tenant) for increasing first-floor height (FFH). The AAL values were calculated here by numerically integrating loss-exceedance probability distributions to represent economic annual flood risk to the building, contents, and use. A simple case study for a census block in Jefferson Parish, Louisiana, revealed that homeowners bear a mean AAL of $4,390 at the 100-year flood elevation (E100), compared with $2,960, and $1,590 for landlords and tenants, respectively, because the homeowner incurs losses to building, contents, and use, rather than only two of the three, as for the landlord and tenant. The results of this case study showed that increasing FFH reduces AAL proportionately for each owner/occupant type, and that two feet of additional elevation above E100 may provide the most economically advantageous benefit. The modeled results suggested that Hazus Multi-Hazard (Hazus-MH) output underestimates the AAL by 11% for building and 15% for contents. Application of this technique while partitioning the owner/occupant types will improve planning for improved resilience and assessment of impacts attributable to the costly flood hazard. |
| first_indexed | 2024-04-11T00:02:47Z |
| format | Article |
| id | doaj.art-eb728d0a4ec44490bff1ec33ab599b99 |
| institution | Directory Open Access Journal |
| issn | 2624-909X |
| language | English |
| last_indexed | 2024-04-11T00:02:47Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Big Data |
| spelling | doaj.art-eb728d0a4ec44490bff1ec33ab599b992023-01-09T15:08:01ZengFrontiers Media S.A.Frontiers in Big Data2624-909X2023-01-01510.3389/fdata.2022.997447997447Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor heightAyat Al Assi0Ayat Al Assi1Ayat Al Assi2Rubayet Bin Mostafiz3Rubayet Bin Mostafiz4Rubayet Bin Mostafiz5Carol J. Friedland6Carol J. Friedland7Md Adilur Rahim8Md Adilur Rahim9Md Adilur Rahim10Robert V. Rohli11Robert V. Rohli12Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, LA, United StatesLaHouse Resource Center, Department of Biological and Agricultural Engineering, Louisiana State University Agricultural Center, Baton Rouge, LA, United StatesCoastal Studies Institute, Louisiana State University, Baton Rouge, LA, United StatesLaHouse Resource Center, Department of Biological and Agricultural Engineering, Louisiana State University Agricultural Center, Baton Rouge, LA, United StatesCoastal Studies Institute, Louisiana State University, Baton Rouge, LA, United StatesDepartment of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, United StatesLaHouse Resource Center, Department of Biological and Agricultural Engineering, Louisiana State University Agricultural Center, Baton Rouge, LA, United StatesCoastal Studies Institute, Louisiana State University, Baton Rouge, LA, United StatesLaHouse Resource Center, Department of Biological and Agricultural Engineering, Louisiana State University Agricultural Center, Baton Rouge, LA, United StatesCoastal Studies Institute, Louisiana State University, Baton Rouge, LA, United StatesEngineering Science Program, Louisiana State University, Baton Rouge, LA, United StatesCoastal Studies Institute, Louisiana State University, Baton Rouge, LA, United StatesDepartment of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, United StatesEvaluating flood risk is an essential component of understanding and increasing community resilience. A robust approach for quantifying flood risk in terms of average annual loss (AAL) in dollars across multiple homes is needed to provide valuable information for stakeholder decision-making. This research develops a computational framework to evaluate AAL at the neighborhood level by owner/occupant type (i.e., homeowner, landlord, and tenant) for increasing first-floor height (FFH). The AAL values were calculated here by numerically integrating loss-exceedance probability distributions to represent economic annual flood risk to the building, contents, and use. A simple case study for a census block in Jefferson Parish, Louisiana, revealed that homeowners bear a mean AAL of $4,390 at the 100-year flood elevation (E100), compared with $2,960, and $1,590 for landlords and tenants, respectively, because the homeowner incurs losses to building, contents, and use, rather than only two of the three, as for the landlord and tenant. The results of this case study showed that increasing FFH reduces AAL proportionately for each owner/occupant type, and that two feet of additional elevation above E100 may provide the most economically advantageous benefit. The modeled results suggested that Hazus Multi-Hazard (Hazus-MH) output underestimates the AAL by 11% for building and 15% for contents. Application of this technique while partitioning the owner/occupant types will improve planning for improved resilience and assessment of impacts attributable to the costly flood hazard.https://www.frontiersin.org/articles/10.3389/fdata.2022.997447/fullflood riskaverage annual loss (AAL)natural hazard mitigationLouisianaHazus Multi-Hazard (Hazus-MH)first-floor height (FFH) |
| spellingShingle | Ayat Al Assi Ayat Al Assi Ayat Al Assi Rubayet Bin Mostafiz Rubayet Bin Mostafiz Rubayet Bin Mostafiz Carol J. Friedland Carol J. Friedland Md Adilur Rahim Md Adilur Rahim Md Adilur Rahim Robert V. Rohli Robert V. Rohli Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height Frontiers in Big Data flood risk average annual loss (AAL) natural hazard mitigation Louisiana Hazus Multi-Hazard (Hazus-MH) first-floor height (FFH) |
| title | Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height |
| title_full | Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height |
| title_fullStr | Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height |
| title_full_unstemmed | Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height |
| title_short | Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height |
| title_sort | flood risk assessment for residences at the neighborhood scale by owner occupant type and first floor height |
| topic | flood risk average annual loss (AAL) natural hazard mitigation Louisiana Hazus Multi-Hazard (Hazus-MH) first-floor height (FFH) |
| url | https://www.frontiersin.org/articles/10.3389/fdata.2022.997447/full |
| work_keys_str_mv | AT ayatalassi floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT ayatalassi floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT ayatalassi floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT rubayetbinmostafiz floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT rubayetbinmostafiz floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT rubayetbinmostafiz floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT caroljfriedland floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT caroljfriedland floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT mdadilurrahim floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT mdadilurrahim floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT mdadilurrahim floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT robertvrohli floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight AT robertvrohli floodriskassessmentforresidencesattheneighborhoodscalebyowneroccupanttypeandfirstfloorheight |