#hindukush — Public Fediverse posts

Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
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https://doi.org/10.1007/s44288-026-00670-8 <-- shared paper
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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

Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
--
https://doi.org/10.1007/s44288-026-00670-8 <-- 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

زلزلے کے شدید جھٹکے!
اسلام آباد، پشاور سمیت کئی شہروں میں زمین لرز اٹھی — تفصیل 👇

https://kaynewsurdu.com/2026/04/03/earthquake-pakistan-islamabad-kpk-6-3-magnitude/

#Earthquake #Pakistan #Islamabad #Peshawar #BreakingNews #HinduKush #Tremors #KayNews #Alert #SeismicEvent

Tadjikistan/Afghanistan border, 2018. • • • #solotravel #backpacking #overland #overlanding #tadjikistan #afghanistan #travel #photography #nature #mountains #river #hindukush

#Hindukush vs. #Hellmarsh, London

https://youtube.com/watch?v=OClTovweqDI&si=KA0YfqHEAqwyPruY
#Assange
> Ein paar kurze Gedanken zu Assange aus dem donnerstagnachmittaglich leeren EU-Parlament in Straßburg. Mehr Inhalt als in der gesamten Stellungnahme der EU-Ko...

Climate Change Impact Assessment On The Hydrological Regime Of The Kaligandaki Basin, Nepal
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https://doi.org/10.1016/j.scitotenv.2017.12.332 <-- shared paper
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“HIGHLIGHTS
• The rise in temperature and increase in precipitation is projected in future in Kaligandaki River basin.
• The water availability in the basin is not likely to decrease during this century.
• The change in water balance in the upper sub-basins of Kaligandaki River is higher.
• The output from this research could be beneficial for water resources management..."
#GIS #spatial #mapping #Nepal #Kaligandaki #riverbasin #basin #river #hydrology #model #modeling #numericmodeling #climatechange #temperature #precipitation #ET ##waterresources #water #watersecurity #waterbalance #impactassessment #humanimpacts #freshwater #HinduKush #himalayas #SWAT #prediction #projection #cimip5 #gcm #waterbalance #snowmelt #evapotranspiration #spatialanalysis #spatiotemporal

Climate Change Impact Assessment On The Hydrological Regime Of The Kaligandaki Basin, Nepal
--
https://doi.org/10.1016/j.scitotenv.2017.12.332 <-- shared paper
--
“HIGHLIGHTS
• The rise in temperature and increase in precipitation is projected in future in Kaligandaki River basin.
• The water availability in the basin is not likely to decrease during this century.
• The change in water balance in the upper sub-basins of Kaligandaki River is higher.
• The output from this research could be beneficial for water resources management..."
#GIS #spatial #mapping #Nepal #Kaligandaki #riverbasin #basin #river #hydrology #model #modeling #numericmodeling #climatechange #temperature #precipitation #ET ##waterresources #water #watersecurity #waterbalance #impactassessment #humanimpacts #freshwater #HinduKush #himalayas #SWAT #prediction #projection #cimip5 #gcm #waterbalance #snowmelt #evapotranspiration #spatialanalysis #spatiotemporal

Rising Temperatures Speeding Up Himalayan Glacier Loss

The report from the International Centre for Integrated Mountain Development in Kathmandu finds that #glaciers in the #HinduKush and #Himalaya mountain range region melted 65% faster from 2010 through 2019 than in the previous decade.
The finding adds to a growing body of evidence that the consequences of #ClimateChange are speeding up, and that some changes will be irreversible.
https://www.nytimes.com/2023/06/19/climate/himalayas-melting-water-source.html

#ClimateCrisis #Cryosphere

I love wikipedia pages with embedded in-jokes. I found a mountain page where only failed ascents are listed, and only amusing failures are detailed. No mention of successful ascents, not even the first. And it's only funny if you know why. (No link because some humourless pedant might edit it.)

#InJokes #Wikipedia #mountaineering #mountains #HinduKush #HinduKushHimalaya