Published January 23, 2024 | Version v1

Data from: Climate threats to coastal infrastructure and sustainable development outcomes

  • 1. ROR icon KTH Royal Institute of Technology
  • 2. University of Oxford
  • 3. ROR icon University of Strathclyde

Description

Files

File name Description
<asset_type>_households.gpkg  Shapefile where fields contain hazard exposure and household data.
Sundarbans_2015poly1.shp  Sundarbans shapefile, to exclude from analysis.
household_counts.csv  Total number of households per upazila, broken down into poorer, median, and wealthier groups.
 coastalArea_studyArea.gpkg  Study area polygon.

Fields for <asset_type>_households.gpkg

Field name Description Unit
id_<ASSET> Asset id int
coastal__deltares__rp<RP>___<YEAR> Coastal flooding for given return period and year according to Deltares flood maps. m
coastal__aqueduct__rp<RP>__<YEAR> Coastal flooding for given return period and year according to Aqueduct flood maps. m
riverine__aqueduct__rp<RP>__<YEAR>_mean Riverine flooding for given return period and year according to Aqueduct flood maps. Averaged over ensemble of models. m
cyclone__max_gusts__rp<RP>__historical__hist Maximum cyclone gusts for given return period under historical scenario. No future projections available. mps
erosion_paszkowski____historical__hist

Historical erosion. Values [0, 7500] annual erosion, >7500 subannual erosion, [-7500, 0] annual accretion, <-7500 subannual accretion.

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rural_wealth_Q1 Rural households in first wealth quintile with access to the asset #households
urban_wealth_Q1 Urban households in first wealth quintile with access to the asset #households
households Total households with access to the asset #households

Abstract

Climate hazards pose increasing threats to development outcomes across the world’s coastal regions by impacting infrastructure service delivery. Using a high-resolution dataset of 8.2 million households in Bangladesh's coastal zone, we assess the extent to which infrastructure service disruptions, induced by flood, cyclone, and erosion hazards, can thwart progress towards the Sustainable Development Goals (SDGs). Results show that climate hazards potentially threaten infrastructure service access to all households, with the poorest being disproportionately threatened in 69% of coastal sub-districts. Targeting adaptation to these climatic threats in one-third (33%) of the most vulnerable areas could help to safeguard 50-85% of achieved progress towards SDG 3, 4, 7, 8, and 13 indicators. These findings illustrate the potential of geospatial climate risk analyses, which incorporate direct household exposure and essential service access. Such high-resolution analyses are becoming feasible even in data-scarce parts of the world, helping decision-makers target and prioritise pro-poor development.

Files

household_counts.csv

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