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#humanimpacts

2 posts2 participants0 posts today
Public
💧🌏 Greg Cocks

Population Vulnerability Of Residents, Employees, And Cruise-Ship Passengers To Tsunami Hazards Of Islands In Complex Seismic Regions - A Case Study Of The U.S. Virgin Islands
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doi.org/10.1016/j.ijdrr.2025.1 <-- shared paper
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#GIS #spatial #mapping #Tsunami #Evacuation #Mitigation #Risk #Hazard #Modeling #Island #publicsafety #USVI #VirginIslands #damage #loss #infrastructure #cost #economics #humanimpacts #publicsafety #lossoflife #death #earthquake #fault #mitigation #monitoring #warning #response #tourists #locals #employees #cruiseships #population #community #vulnerability #USVirginIslands #ships #vessels #docks #inundation #flood #flooding #waves #maritime #port #scenario #riskassessment #model #modeling #spatialanalysis #spatiotemporal

Public
💧🌏 Greg Cocks

Interpretable Physics-Informed Graph Neural Networks For Flood Forecasting
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doi.org/10.1111/mice.13484 <-- shared paper
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github.com/MehdiTaghizadehUVa/ <-- shared GitHub repository
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#GIS #spatial #mapping #FloodForecasting #GraphNeuralNetworks #PhysicsInformedAI #Hydrology #ClimateResilience #ScientificMachineLearning #CivilEngineering #HydroGraphNet #PhyiscsNeMo #hydrology #water #flood #flooding #spatialanalysis #spatiotemporal #climatechange #model #modeling #machinelearning #AI #extremeweather #prediction #forecasting #planning #humanimpacts #loss #lossoflife #publicsafety #cost #economics #infrastructure #risk #hazard #disaster #mitigation #preparedness #naturaldisaster #HydroGraphNet #floodforecasting #dynamics #remotesensing #earthobservation

Public
💧🌏 Greg Cocks

A Google-Backed… [Satellite] To [Help] Battle Wildfires Made It Into Orbit
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techcrunch.com/2025/03/17/a-go <-- shared technical article
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sites.research.google/gr/wildf <-- shared Google FireSat home page
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youtu.be/pmQlXLaHT_Y?si=q3wM80 <-- shared video overview of FireSat
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earthfirealliance.org/ <-- shared Earth Fire Alliance home page
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[this post should not be considered an endorsement of this product]
#GIS #spatial #mapping #FireSat #monitoring #fire #wildfire #EarthFireAlliance #Google #satellite #remotesensing #earthobservation #detection #tracking #earlywarning #multispectral #infrared #spatialanalysis #spatiotemporal #risk #hazard #climatechange #extremeweather #impacts #humanimpacts #infrastructure #damage #AI #machinelearning #emergencyresponse #model #modeling
@Google @GoogleResearch @EarthFireAlliance @MuonSpace

Public
💧🌏 Greg Cocks

Himalayan Snow Lines On The Rise
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earthobservatory.nasa.gov/imag <-- shared NASA technical article
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icimod.org/press-release/snow- <-- shared technical article on Himalaya snow persistence changes
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#GIS #spatial #mapping #Nepal #India #Himalayas #Himalayan #mountains #climatechange #snowpersistence #remotesensing #earthobservation #glacier #glacial #melting #MountEverest #water #hydrology #cryology #snow #ice #waterresources #watersecurity #waterresources #fire #risk #hazard #OLI2 #Landsat #meteorology #weather #annual #precipitation #monsoon #sublimation #temperature #wind #humidity #extremeweather #wildfire #humanimpacts #snowline #newnormal #agriculture #foodsecurity #drought

map - snow anomaly, Nov. '23 to Apr. '24, in and around Nepal / Himalayas
photo - Imja Glacier, Himalayas, Nepal
Landsat image - snowline around Mt Everest - Jan. 2022
Landsat image - snowline around Mt Everest - Jan. 2025
Public
💧🌏 Greg Cocks

Permafrost Thaw Threatens Up To 3 Million People In The Arctic
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phys.org/news/2025-01-permafro <-- shared technical article
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doi.org/10.1038/s43247-024-018 <-- shared paper
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#GIS #spatial #mapping #arctic #climatechange #permafrost #thaw #communities #impacts #humanimpacts #infrastructure #risk #hazard #northernhemisphere #global #threat #Sweden #greenland #alaska #yukon #russia #canada #norway #landuse #melting #ecosystems #livelihoods #firstnation #indigenous #inhabitants #population #cost #economics #policymaking #planning #management #spatialanalysis #adapation #transportation #supplies #waterquality #watersecurity #foodsecurity #disease #contaminants #multifactor #analysis #MFA #social #culture #cultural #transdisciplinary #ground #temperature #physicalprocesses #consequences #mobility #supplies #biogeochemical #water #hydrology #engineeringgeology #erosion #ecosystem #FATE

schematic - Composite overview synthesizing the risks from permafrost thaw identified across the four study areas
map - Map of the study areas and trends in the ground temperature over the period 2000–2019
photo - A drone picture shows private houses on a territory of former airfield, damaged by thermokarst processes in the village of Churapcha in the Republic of Sakha (Yakutia), Russia September 5, 2021
Permafrost risk analysis workflow diagram
Public *
💧🌏 Greg Cocks

Kiwi Water Park Owner Feels ‘Victimised’ By iPhone Weather App [New Zealand]
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nzherald.co.nz/nz/kiwi-water-p <-- shared media article
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[spatiotemporal data and models - and their consumer & other use - has potential real-world consequences]
“Emily Rutherford says she feels “personally victimised” by iPhone’s weather app.
Rutherford, who co-owns the Kiwi Water Park in Lake Dunstan, Central Otago, said the app kept reporting the temperature in her area was up to 5C cooler than MetService predicted – and even MetService could be underestimating the summer heat.
She worried it was putting off potential customers…"
#GIS #spatial #mapping #NewZealand #KiwiWaterPark #iPhone #app #weather #forecast #model #modeling #weather #metrology #weatherforecast #spatiotemporal #cost #economics #loss #humanimpacts #recreation #leisure #waterpark #weathermodel
@KiwiWaterPark @TheWeatherCompany @MetService @niwa @IBM

photo - Kiwi Water Park in Lake Dunstan, Central Otago, New Zealand
map - forecast example - The Weather Company for New Zealand
view from space - New Zealand
logo / banner - The Weather Company
Public
💧🌏 Greg Cocks

The Great Dismal Swamp Has Released Millions Of Tons Of Carbon Since The Colonial Era, Research Finds
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whro.org/environment/2024-11-0 <-- shared article
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doi.org/10.1029/2024JG008137 <-- shared paper
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#GIS #spatial #mapping #climatechange #GreatDismalSwamp #carbon #NorthCarolina #Virginia #USA #engineering #water #hydrology #swamp #habitat #biodiversity #humanimpacts #carbondioxide #landuse #change #wetlands #peatlands #carbonsink #methane #model #spatialanalysis #spatiotemporal #research #peat #peatswamp #drainage #ditches #engineering #reclamation #peatfire #mitigation #ecosystem #carbonloss #hydrospatial

photo - A researcher moves through the Great Dismal Swamp in Virginia.
Schematic - ash mass concept. For a column of peat exposed to drainage, the surface peat is exposed to more oxidation and therefore carbon is lost but the ash content is conserved. This demonstrates how carbon loss can be calculated using the remaining ash in the peat column. The terms correspond to the terms in Equations 1-5, with r = reference layer and i = impacted layer. The dashed line in the second column indicates the loss. The loss in thickness due to shallow subsidence results from the difference in the bulk densities, whereas the secondary subsidence results from the loss in elevation due to oxidation, driven by the differences in ash mass.
Maps - coring locations, ditches by age, dominant vegetation communities. Contours correspond to estimated peat depths based on Oaks and Whitehead (1979). Coring locations are indicated by the following numbers: 1. GDS519, 2. GDS520, 3. GDSW1, 4. GDS77, 5. GDS83, 6. GDS528, 7. Interior-South, 8. Interior-North, 9. GDS96, 10. GDS-P + H, 11. GDS542, 12. GDS-04-14-2022-1A, 13. GDS-04-14-2022-1B. (a) Map of Great Dismal Swamp National Wildlife Refuge (GDS NWR) showing coring locations and binned ages of ditch, canal, and railroad installation, (b) Map of GDS NWR showing dominant vegetation communities within GDS NWR. The “early successional” (marsh) area to the southeast of Lake Drummond corresponds to the area burned in both 2008 and 2011. The area bounded by shading represents the Great Dismal Swamp NWR boundary.
charts - Carbon stocks and accumulation at GDS sites. (a) Carbon stocks for all sites, including two calculations for heavily impacted sites (GDS-W1, GDS-77, and GDS-P&H). Stars indicate calculations from ash mass from the lower depths of each of those cores, while the other (b) calculation for these sites indicates the lower ash mass calculation using the average of other less disturbed sites. Burn scar cores calculations are down to the first charcoal peak (a) and down to the second peak (b) for GDS-Interior-North and South. (b) Carbon accumulation and loss rates for cores with vegetation reconstructions. Negative values indicate carbon loss values.
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