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#himalayas — Public Fediverse posts

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

  1. “The steep mountain folds of the Himalayas, already prone to earthquakes, have seen more frequent flash floods as high mountain glaciers melt, redrawing rivers at sometimes terrifying speed.

    Residents have had little time to rebuild from one disaster to the next, raising concerns over whether their communities can endure as climate change accelerates.”

    apnews.com/article/climate-cha

    #Nepal #Floods #NepalFloods #Climate #ClimateCrisis #Mountains #Himalayas

  2. “The steep mountain folds of the Himalayas, already prone to earthquakes, have seen more frequent flash floods as high mountain glaciers melt, redrawing rivers at sometimes terrifying speed.

    Residents have had little time to rebuild from one disaster to the next, raising concerns over whether their communities can endure as climate change accelerates.”

    apnews.com/article/climate-cha

    #Nepal #Floods #NepalFloods #Climate #ClimateCrisis #Mountains #Himalayas

  3. “The steep mountain folds of the Himalayas, already prone to earthquakes, have seen more frequent flash floods as high mountain glaciers melt, redrawing rivers at sometimes terrifying speed.

    Residents have had little time to rebuild from one disaster to the next, raising concerns over whether their communities can endure as climate change accelerates.”

    apnews.com/article/climate-cha

    #Nepal #Floods #NepalFloods #Climate #ClimateCrisis #Mountains #Himalayas

  4. “The steep mountain folds of the Himalayas, already prone to earthquakes, have seen more frequent flash floods as high mountain glaciers melt, redrawing rivers at sometimes terrifying speed.

    Residents have had little time to rebuild from one disaster to the next, raising concerns over whether their communities can endure as climate change accelerates.”

    apnews.com/article/climate-cha

    #Nepal #Floods #NepalFloods #Climate #ClimateCrisis #Mountains #Himalayas

  5. “The steep mountain folds of the Himalayas, already prone to earthquakes, have seen more frequent flash floods as high mountain glaciers melt, redrawing rivers at sometimes terrifying speed.

    Residents have had little time to rebuild from one disaster to the next, raising concerns over whether their communities can endure as climate change accelerates.”

    apnews.com/article/climate-cha

    #Nepal #Floods #NepalFloods #Climate #ClimateCrisis #Mountains #Himalayas

  6. Every day, new bodies are recovered in Nepal, but many remain unidentifiable. Several days after the disaster, some are already in an advanced state of decomposition. Morgues in the country's main cities are reaching capacity. Faced with the influx of remains, authorities have begun burying them without formal identification. France 24's special correspondents traveled to Bharatpur, in southern Nepal, to one of these burial sites.
    #Nepal #Himalayas #flood
    youtube.com/watch?v=_npqSg3vzLg

  7. 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

  8. Here's a potato-quality photograph of one of them. But mostly the view we had was of them streaking past.
    #nature #wildlife #photography #himalayas #mustelid

  9. A pair of Yellow-Bellied Weasels (Mustela kathiah) decided to spend a few days in our backyard. They were lightning-quick, utterly unafraid of humans being nearby, and systematically investigated every drainage hole in the retaining wall.
    #nature #wildlife #photography #himalayas #mustelid

  10. Dust plumes today including the one from Gala Lake #Tibet posted earlier in southerly flow over the #Himalayas and spreading north. Seen by #himawari 9 🛰️

  11. I get the appeal of climbing #Everest. It’s not something I’ll ever do myself, but if I were younger and richer, I might consider it as a goal. My beloved #mountains here in #Colorado can be plenty challenging, but they aren’t even #foothills to the #Himalayas—more like foothills to the foothills. So yes, I understand the draw.

    #Snowboarding down? I don’t get that at all. It’s not #mountaineering, just pointless showboating. I won’t say I’m glad this guy perished in the attempt, but I’m not sorry about it either.

    extremelyinterestingfacts.quor

  12. #ClimateDiary #ClimateChange #ClimateCrisis

    Massive #Rains & Cloud Bursts in #HimachalPradesh & #Uttrakhand #India
    #YamunaRiver in #Delhi above danger mark again!

    Not nature, we're cause of #ClimaticDisaster
    Unregulated constructions in #Himalayas

    In this c1680 AD #Rajput #IndianMiniaturePainting from #Mewar #Rajasthan from Doris Wiener collection sold by Christie 'Balaram Tames #Yamuna' using a Hoe to bring #Yamuna closer home as 4 River Spirits try to dissuade him

    @pvonhellermannn #Art

  13. Just a little update to the Emerald Tiger Moth (Callindra principalis) seen zipping about Bhutan at 2900m.

    I first saw one two days ago, and posted those pics above. But then yesterday while visiting Gangtey Gonpa another one landed right in front of me while walking the grounds of the gonpa!

    #Mothstodon

    #Bhutan #Phobjikha #Photography #Lumix #FlutterByes #Himalayas #Butterflies #NotButterflies #MothOrMonster #Callindra #TigerMoth