Login

Recent searches

No recent searches

Search options

Not available on mastodon.xyz.
mastodon.xyz is one of the many independent Mastodon servers you can use to participate in the fediverse.
A Mastodon instance, open to everyone, but mainly English and French speaking.

Administered by:

Server stats:

788
active users

mastodon.xyz: AboutProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.3.4

#avalanche

2 posts1 participant0 posts today
Public
MediaFaro News Digest

Unusually heavy spring snow storm wreaks havoc in the Alps.

Heavy snowfall killed at least one person while another was severely injured in an avalanche as snow blanketed areas of Switzerland, Italy and France.

The unusually heavy spring storm dumped more than a metre of snow in some areas, shutting ski areas, roads, trains and schools, as authorities urged people to stay home.

mediafaro.org/article/20250417

A person clearing snow from a street. | © Olivier Chassignole, AFP
France24 · Unusually heavy spring snow storm wreaks havoc in the Alps.By France24
#Alps#Snowfall#SnowStorm
Public *
💧🌏 Greg Cocks

Grfin Tools—User Guide And Methods For Modeling Landslide Runout And Debris-Flow Growth And Inundation
--
pubs.usgs.gov/publication/tm14 <-- shared USGS publication
--
code.usgs.gov/grfintools/grfin <-- shared USGS software release
--
H/T Jonathan Perkins USGS
[ another open source resource for everyone from the USGS ~smile~ ]
#GIS #spatial #mapping #opensource #openlibrary #Grfin #software #package #regional #debrisflow #engineeringgeology #geology #inundation #spatialanalysis #spatiotemporal #geophysics #geophysical #massmovement #landslide #lahar #volcano #rock #avalanche #model #modeling #statistical #geostatistics #water #hydrology #downstream #elevation #remotesensing #DEM #flow #runout #risk #hazard #tools #slope #erosion #drainage #network #channel #channelisation #userguide
@USGS

screen shot - grfintools software repository home page (https://code.usgs.gov/grfintools/grfintools)
report figure 2 - Schematic flowchart illustrating common pathways for using Grfin Tools with examples identified in orange boxes
report figure 1 - Perspective view of topography illustrating the potential locations for three types of mass movements that can be derived from a Grfin Tools analysis.
USGS report cover page - Grfin Tools—User Guide And Methods For Modeling Landslide Runout And Debris-Flow Growth And Inundation
Public
Nicole Sharp

Predicting Landslide Speeds

Knowing what speed a landslide will reach helps us predict how much damage they can cause. That speed depends on many factors: the steepness of the terrain, the sliding distance, the thickness of the flowing layer, and the type of grains making up the flow. Researchers found that predictions from previous studies often underestimated the speeds reached by thicker flows. Through laboratory experiments with grains of different shapes, a team found that those models mistakenly assumed a fully-developed flow — in other words, one where the grains have reached a constant final speed. While spherical grains reach that state over a short sliding distance, that’s not the case for other grains.

Instead, the team used their results to build a new predictive model for landslide speeds. This one still depends on incline angle and flow thickness, but it also uses a dynamical friction coefficient to describe the granular material and capture how the flow’s speed varies with distance down the incline. (Image credit: W. Hasselmann; research credit: Y. Wu et al.; via APS News)

A small landslide on a rocky slope.
#avalanche#fluidDynamics#geophysics
ExploreLive feeds
About