#landslide — Public Fediverse posts

Kerala CM V D Satheesan announced an additional Rs 2 lakh for each Mundakkai-Chooralmala landslide victim being rehabilitated. https://english.mathrubhumi.com/news/kerala/wayanad-landslide-relief-kerala-govt-announces-extra-rs-2-lakh-for-victims-leb0clzm?utm_source=dlvr.it&utm_medium=mastodon #Kerala #VDSatheesan #Wayanad #Landslide

Kerala CM V D Satheesan announced an additional Rs 2 lakh for each Mundakkai-Chooralmala landslide victim being rehabilitated. https://english.mathrubhumi.com/news/kerala/wayanad-landslide-relief-kerala-govt-announces-extra-rs-2-lakh-for-victims-leb0clzm?utm_source=dlvr.it&utm_medium=mastodon #Kerala #VDSatheesan #Wayanad #Landslide

Two people have died after a landslide in Mumbai's Kurla area early Wednesday. Rescue teams are searching for several people feared trapped. https://english.mathrubhumi.com/news/india/mumbai-landslide-kurla-dead-rescue-operation-bcmg9zrl?utm_source=dlvr.it&utm_medium=mastodon #Landslide #AccidentDeath #Mumbai

Two people have died after a landslide in Mumbai's Kurla area early Wednesday. Rescue teams are searching for several people feared trapped. https://english.mathrubhumi.com/news/india/mumbai-landslide-kurla-dead-rescue-operation-bcmg9zrl?utm_source=dlvr.it&utm_medium=mastodon #Landslide #AccidentDeath #Mumbai

6.5 million Americans face landslide risks—a new database shows where they live https://phys.org/news/2026-07-million-americans-landslide-hazard-zones.html

#America #environment #landslide

6.5 million Americans face landslide risks—a new database shows where they live https://phys.org/news/2026-07-million-americans-landslide-hazard-zones.html

#America #environment #landslide

6.5 million Americans face landslide risks—a new database shows where they live https://phys.org/news/2026-07-million-americans-landslide-hazard-zones.html

#America #environment #landslide

3 sisters sang ‘Landslide’ as kids. 9 years later, they sang it at their dad’s funeral.

https://fed.brid.gy/r/https://www.upworthy.com/3-sisters-sang-landslide-as-kids-9-years-later-they-sang-it-at-their-dads-funeral/

3 sisters sang ‘Landslide’ as kids. 9 years later, they sang it at their dad’s funeral.

https://web.brid.gy/r/https://www.upworthy.com/3-sisters-sang-landslide-as-kids-9-years-later-they-sang-it-at-their-dads-funeral/

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

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

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

Payyanithottam bids a tearful farewell to a mother and son killed in the devastating Kerala landslide. https://english.mathrubhumi.com/news/kerala/kerala-landslide-tragedy-payyanithottam-village-bids-tearful-farewell-to-mother-and-son-j3knuirc?utm_source=dlvr.it&utm_medium=mastodon #KeralaLandslide #Payyanithottam #Poonjar #Landslide #KeralaRains

Payyanithottam bids a tearful farewell to a mother and son killed in the devastating Kerala landslide. https://english.mathrubhumi.com/news/kerala/kerala-landslide-tragedy-payyanithottam-village-bids-tearful-farewell-to-mother-and-son-j3knuirc?utm_source=dlvr.it&utm_medium=mastodon #KeralaLandslide #Payyanithottam #Poonjar #Landslide #KeralaRains

Heavy rainfall across Karnataka has also boosted inflows into the Cauvery basin reservoirs, easing concerns over water scarcity. https://english.mathrubhumi.com/news/india/karnataka-landslide-shivamogga-rain-rail-disruption-wb8wyonb?utm_source=dlvr.it&utm_medium=mastodon #KarnatakaRains #Shivamogga #Landslide #HeavyRain #TrainServices

Heavy rainfall across Karnataka has also boosted inflows into the Cauvery basin reservoirs, easing concerns over water scarcity. https://english.mathrubhumi.com/news/india/karnataka-landslide-shivamogga-rain-rail-disruption-wb8wyonb?utm_source=dlvr.it&utm_medium=mastodon #KarnatakaRains #Shivamogga #Landslide #HeavyRain #TrainServices

Train services between Mangaluru and Bengaluru were disrupted after a landslide blocked railway tracks. Several trains were cancelled or short-terminated https://english.mathrubhumi.com/news/india/mangaluru-bengaluru-train-services-disrupted-landslide-oaduhijk?utm_source=dlvr.it&utm_medium=mastodon #Mangaluru #Bengaluru #Karnataka #Landslide #TrainServices

Train services between Mangaluru and Bengaluru were disrupted after a landslide blocked railway tracks. Several trains were cancelled or short-terminated https://english.mathrubhumi.com/news/india/mangaluru-bengaluru-train-services-disrupted-landslide-oaduhijk?utm_source=dlvr.it&utm_medium=mastodon #Mangaluru #Bengaluru #Karnataka #Landslide #TrainServices

A pet cat's timely warning helped a family of four escape moments before a landslide struck their home in Kerala. https://english.mathrubhumi.com/news/kerala/kannur-landslide-pet-cat-saves-family-chavarna-kerala-y3q2za18?utm_source=dlvr.it&utm_medium=mastodon #KeralaLandslide #Alakode #Landslide #Kerala #KeralaNews

A pet cat's timely warning helped a family of four escape moments before a landslide struck their home in Kerala. https://english.mathrubhumi.com/news/kerala/kannur-landslide-pet-cat-saves-family-chavarna-kerala-y3q2za18?utm_source=dlvr.it&utm_medium=mastodon #KeralaLandslide #Alakode #Landslide #Kerala #KeralaNews

Heavy rain continues to batter Kerala, leaving four dead and triggering floods, landslides and dam water releases. https://english.mathrubhumi.com/news/kerala/kerala-heavy-rain-floods-landslides-red-alert-dams-live-updates-yfsc5chk?utm_source=dlvr.it&utm_medium=mastodon #KeralaRains #KeralaFloods #Kerala #Landslide #RedAlert

Heavy rain continues to batter Kerala, leaving four dead and triggering floods, landslides and dam water releases. https://english.mathrubhumi.com/news/kerala/kerala-heavy-rain-floods-landslides-red-alert-dams-live-updates-yfsc5chk?utm_source=dlvr.it&utm_medium=mastodon #KeralaRains #KeralaFloods #Kerala #Landslide #RedAlert

Central Kerala received exceptionally heavy rainfall, triggering landslides and flooding that killed four people https://english.mathrubhumi.com/news/kerala/central-kerala-exceptionally-heavy-rainfall-ksdma-jgugcqj5?utm_source=dlvr.it&utm_medium=mastodon #KeralaRains #KSDMA #Kerala #Landslide #Floods

Central Kerala received exceptionally heavy rainfall, triggering landslides and flooding that killed four people https://english.mathrubhumi.com/news/kerala/central-kerala-exceptionally-heavy-rainfall-ksdma-jgugcqj5?utm_source=dlvr.it&utm_medium=mastodon #KeralaRains #KSDMA #Kerala #Landslide #Floods

Public representatives are at the affected locations in Idukki, overseeing relief and rescue operations. https://english.mathrubhumi.com/news/kerala/landslides-in-wee-hours-claim-two-lives-in-kerala-several-missing-m5xmobcw?utm_source=dlvr.it&utm_medium=mastodon #Kerala #KeralaRains #Landslide #Kottayam #Idukki

Public representatives are at the affected locations in Idukki, overseeing relief and rescue operations. https://english.mathrubhumi.com/news/kerala/landslides-in-wee-hours-claim-two-lives-in-kerala-several-missing-m5xmobcw?utm_source=dlvr.it&utm_medium=mastodon #Kerala #KeralaRains #Landslide #Kottayam #Idukki

85-year-old woman in senior home brings down the house with Fleetwood Mac ‘Landslide’ cover

https://fed.brid.gy/r/https://www.upworthy.com/85-year-old-woman-landslide-cover-ex1/

85-year-old woman in senior home brings down the house with Fleetwood Mac ‘Landslide’ cover

https://web.brid.gy/r/https://www.upworthy.com/85-year-old-woman-landslide-cover-ex1/

During the day, the township becomes quieter as adults leave for work and children travel to school, most of them by school bus. https://english.mathrubhumi.com/news/kerala/two-years-on-mundakkai-chooralmala-landslide-victims-carry-memories-but-choose-hope-yf81cu7v?utm_source=dlvr.it&utm_medium=mastodon #Chooralmala #Wayanad #Kerala #Landslide #Rehabilitation

During the day, the township becomes quieter as adults leave for work and children travel to school, most of them by school bus. https://english.mathrubhumi.com/news/kerala/two-years-on-mundakkai-chooralmala-landslide-victims-carry-memories-but-choose-hope-yf81cu7v?utm_source=dlvr.it&utm_medium=mastodon #Chooralmala #Wayanad #Kerala #Landslide #Rehabilitation

Landslide kills at least one person at Solomon Islands gold mine, police say

https://web.brid.gy/r/https://www.mirror.co.uk/news/world-news/solomon-islands-gold-mine-death-37488134

Landslide kills at least one person at Solomon Islands gold mine, police say

https://web.brid.gy/r/https://www.mirror.co.uk/news/world-news/solomon-islands-gold-mine-death-37488134

Weather tracker: Flooding and landslides hit large parts of Asia https://www.theguardian.com/environment/2026/jul/20/weather-tracker-flooding-landslides-asia-vietnam-southern-china-south-korea

#Asia #environment #weather #flood #floods #flooding #landslide

Weather tracker: Flooding and landslides hit large parts of Asia https://www.theguardian.com/environment/2026/jul/20/weather-tracker-flooding-landslides-asia-vietnam-southern-china-south-korea

#Asia #environment #weather #flood #floods #flooding #landslide

Weather tracker: Flooding and landslides hit large parts of Asia https://www.theguardian.com/environment/2026/jul/20/weather-tracker-flooding-landslides-asia-vietnam-southern-china-south-korea

#Asia #environment #weather #flood #floods #flooding #landslide

There have been more slips at Mount Maunganui. Tauranga Council have issued a Level 3 -- the highest alert level -- after three new landslides within 48 hours.

"There had been "a major regression" at the site of the original landslide, extending 20 metres with a runout of 100 metres..."

https://www.odt.co.nz/news/national/major-regression-fresh-slips-at-mount-maunganui-evp78aok

#MountMaunganui #Landslide

There have been more slips at Mount Maunganui. Tauranga Council have issued a Level 3 -- the highest alert level -- after three new landslides within 48 hours.

"There had been "a major regression" at the site of the original landslide, extending 20 metres with a runout of 100 metres..."

https://www.odt.co.nz/news/national/major-regression-fresh-slips-at-mount-maunganui-evp78aok

#MountMaunganui #Landslide

There have been more slips at Mount Maunganui. Tauranga Council have issued a Level 3 -- the highest alert level -- after three new landslides within 48 hours.

"There had been "a major regression" at the site of the original landslide, extending 20 metres with a runout of 100 metres..."

https://www.odt.co.nz/news/national/major-regression-fresh-slips-at-mount-maunganui-evp78aok

#MountMaunganui #Landslide

Thirteen people, including a six-month-old infant, were killed after massive boulders crashed onto a taxi on the Udaipur-Pangi road in Himachal Pradesh's Lahaul-Spiti district https://english.mathrubhumi.com/news/india/himachal-pradesh-boulder-crushes-taxi-lahaul-spiti-sreq1tip?utm_source=dlvr.it&utm_medium=mastodon #HimachalPradesh #LahaulSpiti #RoadAccident #Landslide

Thirteen people, including a six-month-old infant, were killed after massive boulders crashed onto a taxi on the Udaipur-Pangi road in Himachal Pradesh's Lahaul-Spiti district https://english.mathrubhumi.com/news/india/himachal-pradesh-boulder-crushes-taxi-lahaul-spiti-sreq1tip?utm_source=dlvr.it&utm_medium=mastodon #HimachalPradesh #LahaulSpiti #RoadAccident #Landslide

Heavy rain causes a massive landslide in Himachal Pradesh's Kangra district, destroying homes in Boh Valley. Orange alert issued as rain continues. https://english.mathrubhumi.com/multimedia/videos/kangra-landslide-heavy-rain-himachal-pradeshs-boh-valley-uzgtsaxz?utm_source=dlvr.it&utm_medium=mastodon #HimachalPradesh #Kangra #BohValley #Landslide

Heavy rain causes a massive landslide in Himachal Pradesh's Kangra district, destroying homes in Boh Valley. Orange alert issued as rain continues. https://english.mathrubhumi.com/multimedia/videos/kangra-landslide-heavy-rain-himachal-pradeshs-boh-valley-uzgtsaxz?utm_source=dlvr.it&utm_medium=mastodon #HimachalPradesh #Kangra #BohValley #Landslide

Two dead after house collapses in heavy rains near Tokyo

TOKYO: (Bernama-Kyodo) A man and a woman found at the scene of a house collapse caused by heavy rain near Tokyo have been confirmed dead, Kyodo News reported, citing the lo…
#Japan #JP #Tokyo #ashikaga #heavyrain #housecollapse #landslide #mudslide #news #rescueauthorities #tochigiprefecture #tokyonews #torrentialrain #unprecedentedrainfall #東京 #東京都
https://www.alojapan.com/1514060/two-dead-after-house-collapses-in-heavy-rains-near-tokyo/

https://www.alojapan.com/1514060/two-dead-after-house-collapses-in-heavy-rains-near-tokyo/ Two dead after house collapses in heavy rains near Tokyo #ashikaga #HeavyRain #HouseCollapse #Japan #landslide #mudslide #news #RescueAuthorities #TochigiPrefecture #Tokyo #TokyoNews #TorrentialRain #UnprecedentedRainfall #東京 #東京都 TOKYO: (Bernama-Kyodo) A man and a woman found at the scene of a house collapse caused by heavy rain near Tokyo have been confirmed dead, Kyodo News reported, citing the local city on Sunday (July 19). The two-store

A landslide triggered by heavy rainfall near the southwestern Chinese city of Chongqing has claimed the lives of at least eight people. According to local autho... https://news.osna.fm/?p=55923 | #news #china #claims #eight #landslide

A landslide triggered by heavy rainfall near the southwestern Chinese city of Chongqing has claimed the lives of at least eight people. According to local autho... https://news.osna.fm/?p=55923 | #news #china #claims #eight #landslide

A landslide triggered by heavy rainfall near the southwestern Chinese city of Chongqing has claimed the lives of at least eight people. According to local autho... https://news.osna.fm/?p=55923 | #news #china #claims #eight #landslide

Rescuers in China race to reach residents trapped by landslide that has killed 8 people

Hundreds of rescuers in southwestern China are racing against incoming thunderstorms to pull residents from the mud and…
#NewsBeep #News #Environment #AU #Australia #Beijing #China #Chongqing #Hanjiasubdistrict #landslide #MinistryofEmergencyManagement #Pengshui #PengshuiMiaoandTujiaautonomouscounty #Science #SouthChinaMorningPost #thepaper.cn #Xinhua #ZhangChengzhong
https://www.newsbeep.com/au/806442/

A rain-triggered landslide in China's Chongqing buried homes, trapped residents and forced more than 1,100 people to evacuate as rescue operations continue https://english.mathrubhumi.com/news/world/china-chongqing-landslide-evacuated-rescue-operations-m5ne52jf?utm_source=dlvr.it&utm_medium=mastodon #China #Chongqing #Landslide #BreakingNews #RescueOperation

A rain-triggered landslide in China's Chongqing buried homes, trapped residents and forced more than 1,100 people to evacuate as rescue operations continue https://english.mathrubhumi.com/news/world/china-chongqing-landslide-evacuated-rescue-operations-m5ne52jf?utm_source=dlvr.it&utm_medium=mastodon #China #Chongqing #Landslide #BreakingNews #RescueOperation

Uttarakhand: Landslides block 126 roads as rain disrupts transport. https://english.mathrubhumi.com/news/india/uttarakhand-monsoon-road-closures-updates-xxcez7a9?utm_source=dlvr.it&utm_medium=mastodon #Uttarakhand #Landslide #Monsoon #RainAlert #Dehradun

Uttarakhand: Landslides block 126 roads as rain disrupts transport. https://english.mathrubhumi.com/news/india/uttarakhand-monsoon-road-closures-updates-xxcez7a9?utm_source=dlvr.it&utm_medium=mastodon #Uttarakhand #Landslide #Monsoon #RainAlert #Dehradun

Landslide strikes Sanjauli, Shimla! Several homes threatened as monsoon rains wreak havoc. https://english.mathrubhumi.com/news/india/sanjauli-shimla-landslide-himachal-pradesh-pe4u41n4?utm_source=dlvr.it&utm_medium=mastodon #Shimla #Landslide #HimachalPradesh #Monsoon2026 #Sanjauli

Landslide strikes Sanjauli, Shimla! Several homes threatened as monsoon rains wreak havoc. https://english.mathrubhumi.com/news/india/sanjauli-shimla-landslide-himachal-pradesh-pe4u41n4?utm_source=dlvr.it&utm_medium=mastodon #Shimla #Landslide #HimachalPradesh #Monsoon2026 #Sanjauli

The Kerala High Court directs immediate disbursal of compensation to Kalladi landslide victims and orders the State to bear full treatment costs https://english.mathrubhumi.com/news/kerala/kalladi-landslide-high-court-immediate-compensation-treatment-costs-d6yoiopg?utm_source=dlvr.it&utm_medium=mastodon #KalladiLandslide #Wayanad #KeralaHighCourt #Kerala #Landslide

The Kerala High Court directs immediate disbursal of compensation to Kalladi landslide victims and orders the State to bear full treatment costs https://english.mathrubhumi.com/news/kerala/kalladi-landslide-high-court-immediate-compensation-treatment-costs-d6yoiopg?utm_source=dlvr.it&utm_medium=mastodon #KalladiLandslide #Wayanad #KeralaHighCourt #Kerala #Landslide

Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
--
https://doi.org/10.1038/s41598-026-52915-8 <-- shared paper
--
https://doi.org/10.1007/s11600-022-00943-z <-- shared paper
--
H/T @Kuldeep Dutta | Geology-Earth Science
“… In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains.
Check out the [attached graphical abstract figure] for an integrated visual workflow of the entire disaster continuum from hillslope failure to floodplain transformation...”
--
“Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km² of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm day−1) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R2 ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R2 ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades…”
#EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #trigger #Flooding #massmovement #extremeweather #engineeringgeology #floodplain #innundation #hillslope #fluvial #pluvial #alluvial #sediment #sedimentation #hydrometeorology #ArunachalPradesh #Assam #India #Brahmaputra #risk #hazard #geology #engineeringgeology #remotesensing #earthobservation #spatialanalysis #spatiotemporal #disaster #hydrogeomorphology #workflow

Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
--
https://doi.org/10.1038/s41598-026-52915-8 <-- shared paper
--
https://doi.org/10.1007/s11600-022-00943-z <-- shared paper
--
H/T @Kuldeep Dutta | Geology-Earth Science
“… In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains.
Check out the [attached graphical abstract figure] for an integrated visual workflow of the entire disaster continuum from hillslope failure to floodplain transformation...”
--
“Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km² of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm day−1) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R2 ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R2 ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades…”
#EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #trigger #Flooding #massmovement #extremeweather #engineeringgeology #floodplain #innundation #hillslope #fluvial #pluvial #alluvial #sediment #sedimentation #hydrometeorology #ArunachalPradesh #Assam #India #Brahmaputra #risk #hazard #geology #engineeringgeology #remotesensing #earthobservation #spatialanalysis #spatiotemporal #disaster #hydrogeomorphology #workflow

Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
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https://doi.org/10.1038/s41598-026-52915-8 <-- shared paper
--
https://doi.org/10.1007/s11600-022-00943-z <-- shared paper
--
H/T @Kuldeep Dutta | Geology-Earth Science
“… In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains.
Check out the [attached graphical abstract figure] for an integrated visual workflow of the entire disaster continuum from hillslope failure to floodplain transformation...”
--
“Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km² of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm day−1) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R2 ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R2 ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades…”
#EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #trigger #Flooding #massmovement #extremeweather #engineeringgeology #floodplain #innundation #hillslope #fluvial #pluvial #alluvial #sediment #sedimentation #hydrometeorology #ArunachalPradesh #Assam #India #Brahmaputra #risk #hazard #geology #engineeringgeology #remotesensing #earthobservation #spatialanalysis #spatiotemporal #disaster #hydrogeomorphology #workflow

Specially trained cadaver dogs are being used to detect anyone trapped beneath the debris, while NDRF teams are carrying out aerial surveillance using drones. https://english.mathrubhumi.com/news/kerala/meppadi-landslide-kerala-govt-announces-5-lakh-ex-gratia-rescue-operation-gathers-pace-abqnun2v?utm_source=dlvr.it&utm_medium=mastodon #kerala #Meppadi #wayanad #landslide #safety