home.social

#disasterriskreduction — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #disasterriskreduction, aggregated by home.social.

fetched live
  1. Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
    --
    doi.org/10.1007/s44288-026-006 <-- shared paper
    --
    H/T @Narayan Thapa | Earth Data Modeling
    “Nepal lies within an active seismic zone and is influenced by most dynamic climatic systems in the world. It faces compounding floods and landslide threats. Impacts are worst where multi-hazard interactions create spatially linked corridors. Despite frequent co-occurrence, national-scale assessments remain limited. This study presents machine learning and GIS-based approach to map nationwide susceptibility to floods, landslides, and identify their potential interaction zones, and delineate critical multi-hazard flow zones through spatial adjacency analysis. Using Google Earth Engine, the Random Forest model integrates topographic, climatic, environmental, and hydrological datasets to overcome subjective expert-driven methods. The model achieved strong predictive accuracy (AUC: 0.84 for floods, 0.85 for landslides). The results showed 19% of Nepal’s lowlands are medium to very highly susceptible to inundation, threatening approximately 900,000 people and over 3.4 million buildings; whilst in the hilly terrains, 40% is susceptible to slope-failure endangering 200,000 people and about 0.6 million buildings. K-means clustering followed by spatial adjacency analysis identified four spatial zonation: 81% of national area as low-hazard zone, 9% as flood-only zone, 5% as landslide-only zone, and 5% as interaction zones. Critical multi-hazard flow zone covering 7,588 km² represents spatially connected corridors linking interaction zones to downstream flood-prone populated areas, affecting 88 km² built-up land and 1,722 km² cropland. These zones represent susceptibility-based spatial connectivity rather than physically simulated cascading processes. These findings support recommendations for risk-informed land-use planning, resilient infrastructure development and climate adaptation aligned to sustainable development and investment risk screening…”
    #GIS #spatial #mapping #GoogleEarthEngine #MachineLearning #RemoteSensing #GeospatialAI #DisasterRiskReduction #MultiHazard #ClimateAdaptation #climatechange #extremeweather #LandUsePlanning #SustainableDevelopment #InfrastructurePlanning #RiskAssessment #NaturalHazards #Nepal #EarthObservation #HinduKushHimalaya #HKH #HinduKush #Himalayas #risk #hazard #assessment #national #regional #spatialanalysis #spatiotemporal #massmovement #landslide #assessment #mitigation #water #hydrology #flood #flooding #sustainability

  2. Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
    --
    doi.org/10.1007/s44288-026-006 <-- shared paper
    --
    H/T @Narayan Thapa | Earth Data Modeling
    “Nepal lies within an active seismic zone and is influenced by most dynamic climatic systems in the world. It faces compounding floods and landslide threats. Impacts are worst where multi-hazard interactions create spatially linked corridors. Despite frequent co-occurrence, national-scale assessments remain limited. This study presents machine learning and GIS-based approach to map nationwide susceptibility to floods, landslides, and identify their potential interaction zones, and delineate critical multi-hazard flow zones through spatial adjacency analysis. Using Google Earth Engine, the Random Forest model integrates topographic, climatic, environmental, and hydrological datasets to overcome subjective expert-driven methods. The model achieved strong predictive accuracy (AUC: 0.84 for floods, 0.85 for landslides). The results showed 19% of Nepal’s lowlands are medium to very highly susceptible to inundation, threatening approximately 900,000 people and over 3.4 million buildings; whilst in the hilly terrains, 40% is susceptible to slope-failure endangering 200,000 people and about 0.6 million buildings. K-means clustering followed by spatial adjacency analysis identified four spatial zonation: 81% of national area as low-hazard zone, 9% as flood-only zone, 5% as landslide-only zone, and 5% as interaction zones. Critical multi-hazard flow zone covering 7,588 km² represents spatially connected corridors linking interaction zones to downstream flood-prone populated areas, affecting 88 km² built-up land and 1,722 km² cropland. These zones represent susceptibility-based spatial connectivity rather than physically simulated cascading processes. These findings support recommendations for risk-informed land-use planning, resilient infrastructure development and climate adaptation aligned to sustainable development and investment risk screening…”

  3. I was awarded the #Geoethics Medal from the International Association for Promoting Geoethics (IAPG) and the medal arrived! Such honours are not about the individual, but are about working collectively. These prizes reflect my predecessors and collaborators. Thank you!
     
    #iapg #drr #GlobalHealth #DisasterRiskReduction #ethics #ResearchEthics

  4. I was awarded the #Geoethics Medal from the International Association for Promoting Geoethics (IAPG) and the medal arrived! Such honours are not about the individual, but are about working collectively. These prizes reflect my predecessors and collaborators. Thank you!
     
    #iapg #drr #GlobalHealth #DisasterRiskReduction #ethics #ResearchEthics

  5. New free-to-download paper:
    "Crisis Preparedness and Systemic Risk: The Role of Municipal Leaders in Disaster Risk Governance in Norway"
    doi.org/10.1111/sjop.70015
    With Sofie Steinsund, Gianluca Pescaroli, Jarle Eid
     
    #Norway #Norge #DRR #CrisisPreparedness #SystemicRisk #LocalGovernance #Governance #DisasterRisk #RiskGovernance #DisasterRiskGovernance #DisasterRiskReduction

  6. At the recent #DIRECTED General Assembly, Julia Kraatz and Martin Pontius were able to take a closer look at how the Roskilde Fjord faces the challenges posed by extreme weather events. Meetings with local stakeholders explored how technology can support municipalities' climate change adaptation (#CCA) plans for a more cohesive, informed, and safer future.

    Check out their blog post, in which they share their key insights and observations.

    👉 blog.52north.org/2025/09/19/fl

    #DisasterRiskReduction

  7. Thrilled to share our latest publication "Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping" nhess.copernicus.org/articles/

    What’s inside:
    ✅ A new way to jointly visualize susceptibility & uncertainty in landslide prediction
    ✅ Practical, open-source tools for implementation in R and QGIS

    Loved the interdisciplinarity of this project

    #DisasterRiskReduction #Landslides #QGIS #RStats #GISChat #UncertaintyVisualization #NaturalHazards

  8. My spouse found this web service which shows environmental risk factors (flood, fire, wind, heat, air quality) over the next 30 years: firststreet.org/
    afaik it is US only. I found the ZIP code view to be the most helpful.

    I'll share this with my neighbors & community to help us focus our disaster preparation & climate resilience planning.

    #ClimateChange #DisasterRiskReduction #CommunityOrganizing

  9. How does the study of #MultiHazards and #DisasterRiskReduction interact with playing games?! Meet Maria Vittoria, a researcher in multi-hazards and #DRR, and EGU's Natural Hazards Division #EarlyCareer Scientist Representative, as she explains all about it!

    Find out more: egu.eu/2FGRZR/

  10. RT by @EU_MARE: #BlueEconomy and #DisasterRiskReduction (DRR)

    #DRR is crucial to mitigating extreme weather events 🌀⛈️ in coastal communities

    We provide data on significant wave height 🌊 and ocean winds 🌬️, helping to prepare for and respond to such events

    🐦🔗: nitter.cz/CMEMS_EU/status/1731

    [2023-12-05 09:46 UTC]

  11. 👋 Part-time PhD researcher exploring health system resilience to a shifting disaster-hazard landscape due to our changing climate. 🌍
    Full-time leader of health system emergency preparedness, resilience and response in the English National Health Service 🏥🇬🇧.

    Excited to engage on Mastodon, connect with like-minded experts, and shape a more resilient world together! 🌱🤝 #HealthResilience #ClimateAdaptation #DisasterRiskReduction #Introduction

  12. #Zimbabwe:
    "A comprehensive National Adaptation Plan is nearing completion this year. As a result, #adaptation measures are being planned across various sectors, including #agriculture, early warning and #DisasterRiskReduction, #climate-resilient infrastructure, and sustainable #water resources management."

    itnewsafrica.com/2023/06/smart

  13. 1980-1989: three billion-dollar events and 297 deaths, costing a total of $19.5 bn per year.
    2010-2019: 13 annual events, 523 annual deaths, and $89.2 bn in recovery costs, a fourfold increase.

    "A study in 2005 estimated that for every $1 invested in #disaster risk #mitigation, $4 was saved in post-disaster rebuilding efforts. New data in 2019 showed $1 spent on mitigation measures could save $11 post-disaster."

    #ClimateAdaptation #DisasterRiskReduction
    news.harvard.edu/gazette/story