#floodprone — Public Fediverse posts

The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
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https://doi.org/10.1029/2026GL122987 <-- shared paper
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“ABSTRACT: Among European countries, Italy ranks as one of the most susceptible to flood risk. While this figure is already substantial, climate change and rapid urbanization in flood-prone areas have been identified as the two main drivers expected to elevate the number of individuals at risk. This study offers a comprehensive assessment of these two drivers of flood risk in Italy over 230 years, from 1870 to 2100, focusing on how they interact to increase risk. Using the large-scale flood risk model RESCUE-FR, [the authors] analyze[d] the population at risk under the 200-year return period scenario to provide a targeted assessment of population risk, how it has evolved in the past, and its projection in the future. [Their] findings indicate that while historical flood risk in Italy has primarily been influenced by population growth and migration into at-risk areas, future projections suggest that climate change will become the dominant driver of flood risk.
PLAIN LANGUAGE SUMMARY: Italy is one of the European countries most at risk of flooding. This study examines the impact of two risk factors on flood risk in Italy over the long term, from 1870 to 2100: climate change and the evolution of population in areas prone to flooding. Using a large-scale flood risk model, [they] simulated different scenarios for different time periods, such as with and without climate change, to estimate how each factor contributes to the number of people exposed to floods in the past and future. [Their] results show that population growth and migration into flood-prone areas were the main reasons for the increased risk in the past. In the future, however, climate change is likely to become the dominant factor, putting more people at risk. Understanding how these factors interact can help communities to plan more effectively for floods and reduce the number of people affected…”
#flood #flooding #risk #hazard #Italy #Europe #national #history #historic #cost #damage #infrastructure #floodrisk #population #urbanisation #development #climatechange #extremeweather #dominantfactor #floodprone #national #regional #spatialanalysis #spatiotemporal #model #RESCUEFR #modeling #factors #parameters #drivers #publicsafety

[Open] Data Related To Flood Mapping [Canada]
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https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
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https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
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https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
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https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
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https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
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H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN

Flood Susceptibility Mapping Of Kathmandu Metropolitan City Using GIS-Based Multi-Criteria Decision Analysis
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https://doi.org/10.1016/j.ecolind.2023.110653 <-- shared paper
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#GIS #spatial #mapping #analyticalhierarchyprocess #floodhazardcriteria #floodpotentialzone #localadministrativeunit #Nepal #spatialanalysis #spatiotemporal #model #modeling #processmodeling #water #hydrology #flood #flooding #Kathmandu #distance #proximity #river #climatechange #extremeweather #precipitation #rainfall #monsoon #builtenvironments #impervious #impervioussurfaces #concrete #stormwater #drainage #economics #environment #infrastructure #damage #ecology #floodinnundation #urbanplanning #criteria #slope #elevation #drainagedensity #rainfall #landuse #landcover #distancefromriver #distance #topography #elevation #floodsusceptibility #floodprone #risk #hazard #mitigation #budgets #costs #policymakers

Google’s FloodHub [global flooding risk/hazard resource]
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https://sites.research.google/floods <-- FloodHub access point
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https://www.youtube.com/watch?v=Klu3zlbUy0Y <--video tutorial/overview
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“Flood Hub provides Google's flood alerts to the general population.
If you are in a flood prone area, open Flood Hub and see the current flood information in your area. If not, open Flood Hub, zoom out/in to find your area of interest and see the relevant flood info to this area.
Flood Hub information is in high resolution when you zoom in, and allows a wide view of the entire flooded area…”
#GIS #spatial #mapping #flood #flooding #global #monitoring #portal #opendata #water #hydrology #risk #hazard #floodprone #FloodHub #Google #webmap #dataportal #gischat

Archaeologists Identify Roman Road Network [LiDAR]
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https://www.heritagedaily.com/2023/08/archaeologists-identify-roman-road-network/148177 <-- shared technical article
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https://doi.org/10.5334/jcaa.109 <-- shared paper
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#GIS #spatial #mapping #remotesensing #LiDAR #landscape #history #romanhistory #romanroads #archaeology #roads #transportation #ancientroads #UK #Britian #England #Devon #Cornwall #SouthWest #spatialanalysis #gischat #LeastCostPaths #MADO #CMTC #floodprone #grade #roadnetwork #Medieval