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#factors — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #factors, aggregated by home.social.

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  1. The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
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    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

  2. Geospatial Analysis of Carbon Offset Projects - A Broader Scientific Outlook
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    eldhollow.com/blogs/geospatial <-- 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

  3. “Entities such as #society, the #economy and #climate are everywhere and nowhere. They are the product of many #factors and must be observed indirectly via #proxies. There’s a reason Adam Smith’s ‘ #invisiblehand’ was invisible.” www.lrb.co.uk/the-paper/v4...

    Lorraine Daston · Everywhere a...

  4. More #young adults, teens in #Singapore being diagnosed with #cancer
    “Researchers hv identified a ‘birth cohort effect’ ..” Dr Poon said.. someone born in 1990 is 4 times more likely to develop colorectal cancer cf w someone born in 1950, she noted.. emerging evidence points to changes in the #earlylife #exposome as likely contributing #factors. These incl te rise in #ultraprocessed #foods, #obesity, sedentary lifestyles & alterations to the gut #microbiome" #health 🧐⚕️
    straitstimes.com/singapore/hea

  5. German teenagers now report having sex significantly later than they did five years ago, according to a new youth sexuality study conducted by the Federal Insti... news.osna.fm/?p=31468 | #news #delay #digital #extended #factors

  6. #Decomposing #deadwood is a #biodiversityhotspot; many small #organisms are either direct #decomposers or closely ecologically related to these primary decomposers. This #riparianforest in Saarland, #Germany, remains partly uncontrolled and is thus full of deadwood in different stages of decomposition. The authors T. Löfroth et al. (2023) studied #factors such as #globalwarming negatively affecting deadwood #ecosystems.
    ©#StefanFWirth November 2025

    Ref
    doi.org/10.1007/978-3-031-1598

    Photos
    ©S.F.Wirth

  7. In today's episode of "Math #Mystifies #the #Masses," we dive into the riveting world of #probability #density #functions and #interpolation factors—because apparently, nothing screams excitement like calculating how an "entropy bulge" curves upward. 📈🤯 Spoiler alert: It's concave! Stay tuned for more edge-of-your-seat #algebraic #adventures. 🙄
    cgad.ski/blog/entropy-of-a-mix #Math #Factors #Entropy #Bulge #HackerNews #ngated

  8. One day, one decomposition
    A235035: Numbers n for which A234742(n) = n: numbers n whose binary representation encodes a GF(2)[X]-polynomial such that when its irreducible factors are multiplied together as ordinary integers (with carry-bits), the result is n

    3D graph, threejs - webGL ➡️ decompwlj.com/3Dgraph/A235035.
    2D graph, first 500 terms ➡️ decompwlj.com/2Dgraph500terms/

    #decompwlj #math #mathematics #sequence #OEIS #javascript #php #3D #numbers #binary #representation #polynomial #factors #integers #graph #threejs #webGL

  9. A Site Selection Framework For Urban Power Substation At Micro-Scale Using Spatial Optimization Strategy And Geospatial Big Data
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    doi.org/10.1111/tgis.13093 <-- shared paper
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    “In this study, [they] model spatiotemporal heterogeneity and incorporate it into optimizing the location of substations. The optimized substation placement ensures electrical service coverage for over 99% of the area during peak power usage seasons, compared to the current coverage of 72%...”
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #siting #demand #electricity #heterogeneity #substations #powertransmission #electricalpower #distrubition #service #city #urbanisation #extremeweather #model #modeling #parameters #factors #energycrisis #energy #urbanplanning #routing #outages #framework #UrbanPS #bigdata #AI #machinelearning #Pingxiang #Jiangxi #China #casestudy #coverage #utilisation #dynamic #load #loading #loadbalancing

  10. One day, one decomposition
    A195086: Numbers k such that (number of prime factors of k counted with multiplicity) less (number of distinct prime factors of k) = 2

    3D graph, threejs - webGL ➡️ decompwlj.com/3Dgraph/A195086.
    2D graph, first 500 terms ➡️ decompwlj.com/2Dgraph500terms/

    #decompwlj #math #mathematics #sequence #OEIS #javascript #php #3D #numbers #prime #factors #graph #threejs #webGL

  11. One day, one decomposition
    A134619: Numbers such that the arithmetic mean of the cubes of their prime factors (taken with multiplicity) is a prime

    3D graph, threejs - webGL ➡️ decompwlj.com/3Dgraph/A134619.
    2D graph, first 500 terms ➡️ decompwlj.com/2Dgraph500terms/

    #decompwlj #math #mathematics #sequence #OEIS #javascript #php #3D #numbers #arithmetic #mean #cubes #prime #factors #PrimeNumbers #graph #threejs #webGL

  12. One day, one decomposition
    A134618: Numbers such that the sum of cubes of their prime factors (taken with multiplicity) is a prime

    3D graph, threejs - webGL ➡️ decompwlj.com/3Dgraph/A134618.
    2D graph, first 500 terms ➡️ decompwlj.com/2Dgraph500terms/

    #decompwlj #math #mathematics #sequence #OEIS #javascript #php #3D #numbers #sum #cubes #prime #factors #PrimeNumbers #graph #threejs #webGL