home.social

#riskassessment — Public Fediverse posts

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

  1. Hey you know what? S_IT happens in space!

    Sept 4, The US Space Force (USSF) reported 43 debris objects from the breakup Chinese satellite "Yaogan-50" that launched on March 15, 2026.

    Cataloging space debris is one of USSF's core missions.

    Yaogan-50 successfully reached its operational orbit but apparently experienced an "anomaly" as they say in space lingo. The fragments are at altitudes between 372 and 683 miles (600 and 1,100 km).

    Yaogan-50 is a series of remote-sensing and reconnaissance satellites. Suggestions are these satellites are used for military surveillance and intelligence. China claims they are focused on national land surveys, crop yield estimation, and disaster prevention. gizmodo.com/chinese-satellite-

    Learn more about Space Collision Avoidance Technolgies in Space in the TechAptitude post: techaptitude.substack.com/p/sa #Space #SpaceJunk #SpaceDebris #SSA #USSF #CollisionAvoidance #Conjunction #SpaceFlight #SpaceCraft #Satellite #China #Reconnaissance #RiskAssessment #Yaogan50

  2. Hey you know what? S_IT happens in space!

    Sept 4, The US Space Force (USSF) reported 43 debris objects from the breakup Chinese satellite "Yaogan-50" that launched on March 15, 2026.

    Cataloging space debris is one of USSF's core missions.

    Yaogan-50 successfully reached its operational orbit but apparently experienced an "anomaly" as they say in space lingo. The fragments are at altitudes between 372 and 683 miles (600 and 1,100 km).

    Yaogan-50 is a series of remote-sensing and reconnaissance satellites. Suggestions are these satellites are used for military surveillance and intelligence. China claims they are focused on national land surveys, crop yield estimation, and disaster prevention. gizmodo.com/chinese-satellite-

    Learn more about Space Collision Avoidance Technolgies in Space in the TechAptitude post: techaptitude.substack.com/p/sa

  3. Hey you know what? S_IT happens in space!

    Sept 4, The US Space Force (USSF) reported 43 debris objects from the breakup Chinese satellite "Yaogan-50" that launched on March 15, 2026.

    Cataloging space debris is one of USSF's core missions.

    Yaogan-50 successfully reached its operational orbit but apparently experienced an "anomaly" as they say in space lingo. The fragments are at altitudes between 372 and 683 miles (600 and 1,100 km).

    Yaogan-50 is a series of remote-sensing and reconnaissance satellites. Suggestions are these satellites are used for military surveillance and intelligence. China claims they are focused on national land surveys, crop yield estimation, and disaster prevention. gizmodo.com/chinese-satellite-

    Learn more about Space Collision Avoidance Technolgies in Space in the TechAptitude post: techaptitude.substack.com/p/sa #Space #SpaceJunk #SpaceDebris #SSA #USSF #CollisionAvoidance #Conjunction #SpaceFlight #SpaceCraft #Satellite #China #Reconnaissance #RiskAssessment #Yaogan50

  4. Hey you know what? S_IT happens in space!

    Sept 4, The US Space Force (USSF) reported 43 debris objects from the breakup Chinese satellite "Yaogan-50" that launched on March 15, 2026.

    Cataloging space debris is one of USSF's core missions.

    Yaogan-50 successfully reached its operational orbit but apparently experienced an "anomaly" as they say in space lingo. The fragments are at altitudes between 372 and 683 miles (600 and 1,100 km).

    Yaogan-50 is a series of remote-sensing and reconnaissance satellites. Suggestions are these satellites are used for military surveillance and intelligence. China claims they are focused on national land surveys, crop yield estimation, and disaster prevention. gizmodo.com/chinese-satellite-

    Learn more about Space Collision Avoidance Technolgies in Space in the TechAptitude post: techaptitude.substack.com/p/sa #Space #SpaceJunk #SpaceDebris #SSA #USSF #CollisionAvoidance #Conjunction #SpaceFlight #SpaceCraft #Satellite #China #Reconnaissance #RiskAssessment #Yaogan50

  5. Hey you know what? S_IT happens in space!

    Sept 4, The US Space Force (USSF) reported 43 debris objects from the breakup Chinese satellite "Yaogan-50" that launched on March 15, 2026.

    Cataloging space debris is one of USSF's core missions.

    Yaogan-50 successfully reached its operational orbit but apparently experienced an "anomaly" as they say in space lingo. The fragments are at altitudes between 372 and 683 miles (600 and 1,100 km).

    Yaogan-50 is a series of remote-sensing and reconnaissance satellites. Suggestions are these satellites are used for military surveillance and intelligence. China claims they are focused on national land surveys, crop yield estimation, and disaster prevention. gizmodo.com/chinese-satellite-

    Learn more about Space Collision Avoidance Technolgies in Space in the TechAptitude post: techaptitude.substack.com/p/sa #Space #SpaceJunk #SpaceDebris #SSA #USSF #CollisionAvoidance #Conjunction #SpaceFlight #SpaceCraft #Satellite #China #Reconnaissance #RiskAssessment #Yaogan50

  6. Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
    --
    doi.org/10.3390/geosciences150 <-- shared paper
    --
    H/T @Geosciences MDPI
    “This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
    --
    “Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
    #FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement

  7. Hydroclimate Volatility On A Warming Earth
    --
    doi.org/10.1038/s43017-024-006 <-- shared 2025 paper
    --
    newsroom.ucla.edu/releases/flo <-- shared UCLA article, “Floods, Droughts, Then Fires: Hydroclimate Whiplash Is Speeding Up Globally “
    --
    H/T @Daniel Swain
    “Hydroclimate volatility refers to sudden, large and/or frequent transitions between very dry and very wet conditions. In this Review, we examine how hydroclimate volatility is anticipated to evolve with anthropogenic warming. Using a metric of ‘hydroclimate whiplash’ based on the Standardized Precipitation Evapotranspiration Index, global-averaged subseasonal (3-month) and interannual (12-month) whiplash have increased by 31–66% and 8–31%, respectively, since the mid-twentieth century. Further increases are anticipated with ongoing warming, including subseasonal increases of 113% and interannual increases of 52% over land areas with 3 °C of warming; these changes are largest at high latitudes and from northern Africa eastward into South Asia. Extensive evidence links these increases primarily to thermodynamics, namely the rising water-vapour-holding capacity and potential evaporative demand of the atmosphere. Increases in hydroclimate volatility will amplify hazards associated with rapid swings between wet and dry states (including flash floods, wildfires, landslides and disease outbreaks), and could accelerate a water management shift towards co-management of drought and flood risks. A clearer understanding of plausible future trajectories of hydroclimate volatility requires expanded focus on the response of atmospheric circulation to regional and global forcings, as well as land–ocean–atmosphere feedbacks, using large ensemble climate model simulations, storm-resolving high-resolution models and emerging machine learning methods…
    #water #hydrology #hydroclimate #whiplash #global #spatialanalysis #spatiotemporal #weatherwhiplash #ecogeomorphology #sustainability #ecology# ###
    #water #hydrology #hydroclimate #volatility #dry #wet #drought #flood #flooding #wildfire #landslide #massmovement #whiplash #global #spatialanalysis #spatiotemporal #weatherwhiplash #ecogeomorphology #sustainability #ecology #hydrogeomorphology #climatechange #extremeweather #anthropogenicwarming #climate #weather #connection #StandardizedPrecipitationEvapotranspiration #precipitation #rainfall #research #evapotranspiration #risk #hazard #riskassessment #disease #pandemic #publichealth #publicsafety #waterquality #watersecurity #watermanagement #hydrography #atmospheric #regional #global #forcing #climatemodel #model #modeling #AI #machinelearning

  8. "Idk, I think it's less about empathy or compassion, and more about making sure the (hopefully small) group of uncaring people who enter medicine or allied health professions are incentivised to act pro-socially.
    Like, in your region, what studying conditions and working conditions are clinicians expected to tolerate? Do they receive a living wage throughout study and work? Is their livelihood for a single person or big enough they can build a household?

    Do they feel comfortable being a whistleblower when something goes wrong? (Numbers-wise, mistakes will happen over time.)
    How robust is the inspection or regulation? How flexible are the logistics of each sector?
    How many crises at once can be weathered without change to patient care? How long will it take to build back up that 'extra' capacity / contingency margin?

    Who (in what position, in which teams) is responsible (or in what order) for noticing angels of death? What about anyone with less final but still harmful motives?

    How severe are the consequences for failure? How many people feel compelled to hide errors rather than remedy them? What options for remediation are accessible to all staff, including contractors?"

    #MedMastodon #DoLessHarm #SystemsThinking #HarmReduction #Medical #Medicine #MD #Systems #NonExpert #LayPerson #RubberNecking #Risk #RiskAssessment #RiskManagement #Risk_Management #Audit #Efficiency #Efficacy #Flexibility #TrueCrime #Crime