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#riskassessment — Public Fediverse posts

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

  1. The 2026 episode questions the livability of territories.
    "We do not rule out having temperatures around 48-50 degrees in a punctual and very regional manner in France."

    "Climate change which is linked to our predatory and unsustainable lifestyles is emerging."

    We need to quit management and embrace transformation.
    "The priority no longer is to return to normal, no longer to do things as before, it is to change."

    There are worldviews to transform.

    Christophe Cassou researches climate. Listen to him in French: radiofrance.fr/franceculture/p

    #foresight #adaptation #habitability #livability #climateForcing #carbon #climateDrift #wildfires #climateChange #climate #ecologicalTransition #greenTransition #anticipation #forests #pines #France #risks #riskAssessment

  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…”
    #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

  3. 📘 Want to understand why dioxins and dioxin-like PCBs matter for food safety?

    Our new plain language summary breaks down the key findings from EFSA's latest risk assessment in a clear and accessible way.

    🔗 Read here: link.europa.eu/JdYjhf

    #FoodSafety #Dioxins #RiskAssessment

  4. "Idk, I think it's less about empathy or compassion, and more about making sure the (hopefully small) group of uncaring people who enter medicine or allied health professions are incentivised to act pro-socially.
    Like, in your region, what studying conditions and working conditions are clinicians expected to tolerate? Do they receive a living wage throughout study and work? Is their livelihood for a single person or big enough they can build a household?

    Do they feel comfortable being a whistleblower when something goes wrong? (Numbers-wise, mistakes will happen over time.)
    How robust is the inspection or regulation? How flexible are the logistics of each sector?
    How many crises at once can be weathered without change to patient care? How long will it take to build back up that 'extra' capacity / contingency margin?

    Who (in what position, in which teams) is responsible (or in what order) for noticing angels of death? What about anyone with less final but still harmful motives?

    How severe are the consequences for failure? How many people feel compelled to hide errors rather than remedy them? What options for remediation are accessible to all staff, including contractors?"

    #MedMastodon #DoLessHarm #SystemsThinking #HarmReduction #Medical #Medicine #MD #Systems #NonExpert #LayPerson #RubberNecking #Risk #RiskAssessment #RiskManagement #Risk_Management #Audit #Efficiency #Efficacy #Flexibility #TrueCrime #Crime