#regional — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #regional, aggregated by home.social.
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Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
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https://doi.org/10.3389/feart.2026.1884300 <-- shared paper
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“Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
#massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils -
The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
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https://doi.org/10.1029/2026GL122987 <-- shared paper
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“ABSTRACT: Among European countries, Italy ranks as one of the most susceptible to flood risk. While this figure is already substantial, climate change and rapid urbanization in flood-prone areas have been identified as the two main drivers expected to elevate the number of individuals at risk. This study offers a comprehensive assessment of these two drivers of flood risk in Italy over 230 years, from 1870 to 2100, focusing on how they interact to increase risk. Using the large-scale flood risk model RESCUE-FR, [the authors] analyze[d] the population at risk under the 200-year return period scenario to provide a targeted assessment of population risk, how it has evolved in the past, and its projection in the future. [Their] findings indicate that while historical flood risk in Italy has primarily been influenced by population growth and migration into at-risk areas, future projections suggest that climate change will become the dominant driver of flood risk.
PLAIN LANGUAGE SUMMARY: Italy is one of the European countries most at risk of flooding. This study examines the impact of two risk factors on flood risk in Italy over the long term, from 1870 to 2100: climate change and the evolution of population in areas prone to flooding. Using a large-scale flood risk model, [they] simulated different scenarios for different time periods, such as with and without climate change, to estimate how each factor contributes to the number of people exposed to floods in the past and future. [Their] results show that population growth and migration into flood-prone areas were the main reasons for the increased risk in the past. In the future, however, climate change is likely to become the dominant factor, putting more people at risk. Understanding how these factors interact can help communities to plan more effectively for floods and reduce the number of people affected…”
#flood #flooding #risk #hazard #Italy #Europe #national #history #historic #cost #damage #infrastructure #floodrisk #population #urbanisation #development #climatechange #extremeweather #dominantfactor #floodprone #national #regional #spatialanalysis #spatiotemporal #model #RESCUEFR #modeling #factors #parameters #drivers #publicsafety -
Richtige Prachtexemplare: zwei #Tomaten (keine Ahnung, was für eine Sorte) aus dem #Hofladen von https://www.dorfstr19.de - im Vorbeiradeln auf der Sonntagsrunde dort gekauft.
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Geospatial Analysis of Carbon Offset Projects - A Broader Scientific Outlook
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https://www.eldhollow.com/blogs/geospatial-analysis-of-carbon-offset-projects <-- shared technical blog
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[this post should not be considered an endorsement of a particular organisation, rather scrutinising the spatial use case & technical approach]
H/T @kyle Arvisais | Forest Carbon Scientist
“Geospatial analysis is at the core of [the H/T’s company’s] project quality assessments, and [the author is] constantly finding ways to make the pipeline better and ways to use it. [They are] obviously not the only one who uses these types of tools, but to be perfectly honest, the quality of models [they have] seen over the years has been all over the place.
This blog makes a casual introduction to [their] pipeline while talking about the field at large…”
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“The world has committed to protecting and restoring nature at an unprecedented scale. Whether that commitment delivers what it promises comes down project execution on the ground. Local socioeconomics and forest ecology intertwine to create complex challenges for projects to overcome during implementation, and at the end of the day, projects boil all of these complexities down to one single unit: the carbon credit. So the question becomes: can we actually measure what is happening to a forest, accurately and honestly, and everywhere at once?
For a long time, the honest answer has been no. Historically, many forest carbon projects overstated their impact. Usually it was because the baseline was too generous, or because the measurements underneath were flawed. For anyone with a stake in nature markets, that uncertainty is one of the core risks.
Robust geospatial analysis can help mitigate that risk. If you treat a carbon credit as what it really is, a scientific claim, then we can hold it to that standard and assess it objectively. [Their] geospatial pipeline turns satellite data and ground truth data into models about how much forest is standing, how it is changing, and what might put it at risk in the future. The pipeline does this anywhere on Earth…”
#GIS #spatial #mapping #usecase #carbonoffset #spatialanalysis #spatiotemporal #qualityassessment #objectivity #projectpipeline #model #modeling #application #nature #environment #ecosystems #ecology #local #regional #factors #socioeconomics #forestecology #vegetation #forest #tree #carboncredit #climatechange #climatecrisis #forestcarbonprojects #global -
Finster kann vieles sein: Sonnenfinsternis, Blutmond oder Finsterforst live. Erinnerungen von 1999 bis zur Sonnenfinsternis im Schwarzwald 2026.
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Cactus garden reminiscent of exotic South America blooms in Geraldton https://www.allforgardening.com/1929264/cactus-garden-reminiscent-of-exotic-south-america-blooms-in-geraldton/ #cactus #collection #FrontYardGarden #FrontYardGardening #FrontYard? #garden #goodnews #midwest #MidwestFrontYardGarden #MidwestFrontYardGardening #Regional #succulent
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Woodburn beer garden ranked among best in the U.S. | Oregon / Northwest https://www.allforgardening.com/1927494/woodburn-beer-garden-ranked-among-best-in-the-u-s-oregon-northwest/ #email #GardeningOregon #news #oregon #Regional
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Are Colorado Moose Invasive? New Research Says NO
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https://www.colorado.edu/asmagazine/2026/06/18/are-colorado-moose-invasive-new-research-says-no <-- shared technical article
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https://youtu.be/orpLT22YnKQ?si=aThWWjMhKOUELwuv <-- shared overview video
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https://doi.org/10.1111/jbi.70279 <-- shared paper
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“The modern Colorado moose is often considered just that: modern - brought to the state by wildlife officials in the late 1970s, preceded by very occasional reports of moose sightings in the 19th and early 20th centuries.
Since being translocated to Colorado, these charismatic megafauna have been a source of both fascination and concern. In Rocky Mountain National Park [RMNP], where moose populations have thrived, ecosystems have been changing, and moose-associated impacts have sparked renewed conversations about managing an animal labeled “non-native.”
However, newly published research [link above] by an interdisciplinary team of scientists, archivists and Tribal cultural heritage leaders shows that the “non-native” label is inaccurate. They present evidence demonstrating that moose have been in Colorado for at least centuries and likely longer.
The researchers analyzed newspaper archives, archaeological site reports, scientific journals, museum collections and photo archives to understand where and when moose were present in Colorado prior to the mid-1900s. Perhaps most importantly, notes lead author William Taylor, a University of Colorado Boulder associate professor of anthropology and CU Museum curator of archaeology, the scholars sought Indigenous histories, and in doing so found evidence of moose being well known and deeply integrated into traditional knowledge of Native people in the southern Rockies.
Crystal C’Bearing, a study co-author and Northern Arapaho Tribal Historic Preservation Officer, notes that among the Northern Arapaho, "the moose is considered a valued commodity among the Tribe.” She adds that societies within the Northern Arapaho "utilize many animals, including moose, in their clothing, society items and regalia. This tradition continues today."
The scholarly approach of joining Indigenous knowledge with historical accounts, archaeology and paleontology, "shows the power of multiple independent lines of evidence converging on the conclusion that moose were part of southern Rocky Mountain ecosystems long before modern reintroductions," says study co-author Jonathan Dombrosky of Crow Canyon Archaeological Center and the University of Alabama. "More broadly, the study demonstrates how historical sciences can help us better understand the origins of modern ecosystems and make more informed decisions about their future…"
#moose #populations #Colorado #USA #native #invasive #introduced #nonnative #translocated #megafauna #herbivore #ungulate #impacts #ecosystems #environment #vegetation #native #indigenous #tribal #FirstNation #archaeology #paleontology #symbology #reporting #historicalscience #history #RockyMountain #Rockies #regional #prehistory #Holocene #biogeography #archaeozoological #modern #premodern #management #archivists -
Eight British And Irish Accent Maps | Map Of British English Dialects
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https://starkeycomics.com/2024/05/10/eight-british-and-irish-accent-maps/ <-- shared technical article
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https://starkeycomics.com/2023/11/07/map-of-british-english-dialects/ <-- shared technical article
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https://www.bbc.com/news/magazine-11642588 <-- shared media article
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H/T @Milan Janosov
[as a kiwi, and after seeing the ‘scone’ pronunciation in particular, I do wonder how this might translate down to the antipodes; as a barman working in London in my (much) younger days – because we all do! 😉 – hearing the huge variety of accents from a relatively small country – but with a rich history of course – was glorious, still is to me! I am also curious how people trying to ‘not to be common’ & hence trying pretentiously to emulate the Received Pronunciation (RP) / BBC English – and failing - plays into this… Now say the letter “H” out loud, if you said “aitch" then that is you 😉 :* 😊 )
“Eight maps to show how the differences in how vowels are pronounced in Britain and Ireland… These are just some of the many, many regional differences in the complex and varied accents and dialects of these [British Isles]…”
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“… The diversity of English dialects in the United Kingdom is enormous.
It’s common for people from either side of a river, mountain, or even town to speak noticeably different ways, with particular features that immediately mark someone out as being from a specific area, to those who have an ear for it.
This is pretty normal in any large region that has been speaking a language continually for 1600 years. You will find the same thing in Germany, Norway, France, and countless other countries. Languages evolve over time, and physical distance between regions means that new features often spread slowly, leading to dialectal differences. Sometimes these differences are small, and only easily recognised by people from the relevant region. Other times there are very clear distinctions, with neighbouring dialects sounding almost like different languages to those unaccustomed to them...”
#map #mapping #spatial #Rhoticity #poorpour #horsehoarse #bathtrap #footstrut #goosefoot #fullfool #greatscone #UK #Britain #Ireland #pronunciation #linguistics #regional #variations #differences #vowels #language #English #England #accents #Northern #dialects
@ryan Starkey -
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 -
Kennt ihr auch schon Flohmarkt? Für Kleinanzeigen via ActivityPub? Ist noch recht jung das Projekt aber ganz cool weil es jetzt schon nahtlos in Mastodon & Co integriert
Eine nördliche Instanz wäre z.B.
Liste bekannter Instanzen:
https://codeberg.org/flohmarkt/flohmarkt/wiki/flohmarkt-instances
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M'arriba un missatge de la #PutaRENFE 22 minuts més tard de l'hora de sortida de l'Avant, a les 6h. Quan ja estic enjaumat dalt del #Regional.
En fi, jo és que al·lucino.
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Avui la #PutaRenfe s'ha petat l'#Avant perquè si, i ens envia al #Regional que ja surt amb +16 de retard.
Ole tu!