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#damage — Public Fediverse posts

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

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  1. Saturday, August 22, 2026

    Deliberately targeted — Russia hits civilian residential building in Sumy . . . . . Russian double-tap strike on shopping center in Kryvyi Rih kills at least 16 . . . . . Major Russian oil refinery, Ozon logistics center set ablaze in reported Ukrainian attack . . . . . and more

    activitypub.writeworks.uk/2026

  2. Saturday, August 22, 2026

    Deliberately targeted — Russia hits civilian residential building in Sumy . . . . . Russian double-tap strike on shopping center in Kryvyi Rih kills at least 16 . . . . . Major Russian oil refinery, Ozon logistics center set ablaze in reported Ukrainian attack . . . . . and more

    activitypub.writeworks.uk/2026

  3. Saturday, August 22, 2026

    Deliberately targeted — Russia hits civilian residential building in Sumy . . . . . Russian double-tap strike on shopping center in Kryvyi Rih kills at least 16 . . . . . Major Russian oil refinery, Ozon logistics center set ablaze in reported Ukrainian attack . . . . . and more

    activitypub.writeworks.uk/2026

  4. Saturday, August 22, 2026

    Deliberately targeted — Russia hits civilian residential building in Sumy . . . . . Russian double-tap strike on shopping center in Kryvyi Rih kills at least 16 . . . . . Major Russian oil refinery, Ozon logistics center set ablaze in reported Ukrainian attack . . . . . and more

    activitypub.writeworks.uk/2026

  5. Saturday, August 22, 2026

    Deliberately targeted — Russia hits civilian residential building in Sumy . . . . . Russian double-tap strike on shopping center in Kryvyi Rih kills at least 16 . . . . . Major Russian oil refinery, Ozon logistics center set ablaze in reported Ukrainian attack . . . . . and more

    activitypub.writeworks.uk/2026

  6. Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
    --
    doi.org/10.3389/feart.2026.188 <-- shared paper
    --
    “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

  7. Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
    --
    doi.org/10.3389/feart.2026.188 <-- shared paper
    --
    “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

  8. Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
    --
    doi.org/10.3389/feart.2026.188 <-- shared paper
    --
    “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

  9. Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
    --
    doi.org/10.3389/feart.2026.188 <-- shared paper
    --
    “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

  10. Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
    --
    doi.org/10.3389/feart.2026.188 <-- shared paper
    --
    “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…”

  11. The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
    --
    doi.org/10.1029/2026GL122987 <-- shared paper
    --
    “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

  12. The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
    --
    doi.org/10.1029/2026GL122987 <-- shared paper
    --
    “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

  13. The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
    --
    doi.org/10.1029/2026GL122987 <-- shared paper
    --
    “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

  14. The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
    --
    doi.org/10.1029/2026GL122987 <-- shared paper
    --
    “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

  15. The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
    --
    doi.org/10.1029/2026GL122987 <-- shared paper
    --
    “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…”

  16. And let us not forget the opposite is also a real problem, with #ExtremeHeat, #wildfire, and #drought hitting the EU and UK.

    Yes, we have always had droughts, floods, fires and heatwaves - but #ClimateChange is responsible for the increase in magnitude - and #damage.

    This is what happens after more than 30+ years of treating the lies of #ClimateDeniers as valid opinions, of irresponsible action by "political leaders", of sheer #greed with total disregard for everyone's welfare.

  17. And let us not forget the opposite is also a real problem, with #ExtremeHeat, #wildfire, and #drought hitting the EU and UK.

    Yes, we have always had droughts, floods, fires and heatwaves - but #ClimateChange is responsible for the increase in magnitude - and #damage.

    This is what happens after more than 30+ years of treating the lies of #ClimateDeniers as valid opinions, of irresponsible action by "political leaders", of sheer #greed with total disregard for everyone's welfare.

  18. And let us not forget the opposite is also a real problem, with #ExtremeHeat, #wildfire, and #drought hitting the EU and UK.

    Yes, we have always had droughts, floods, fires and heatwaves - but #ClimateChange is responsible for the increase in magnitude - and #damage.

    This is what happens after more than 30+ years of treating the lies of #ClimateDeniers as valid opinions, of irresponsible action by "political leaders", of sheer #greed with total disregard for everyone's welfare.

  19. And let us not forget the opposite is also a real problem, with #ExtremeHeat, #wildfire, and #drought hitting the EU and UK.

    Yes, we have always had droughts, floods, fires and heatwaves - but #ClimateChange is responsible for the increase in magnitude - and #damage.

    This is what happens after more than 30+ years of treating the lies of #ClimateDeniers as valid opinions, of irresponsible action by "political leaders", of sheer #greed with total disregard for everyone's welfare.

  20. And let us not forget the opposite is also a real problem, with #ExtremeHeat, #wildfire, and #drought hitting the EU and UK.

    Yes, we have always had droughts, floods, fires and heatwaves - but #ClimateChange is responsible for the increase in magnitude - and #damage.

    This is what happens after more than 30+ years of treating the lies of #ClimateDeniers as valid opinions, of irresponsible action by "political leaders", of sheer #greed with total disregard for everyone's welfare.

  21. Following the partial solar eclipse over Germany, ophthalmologists have diagnosed eye injuries in some observers of the natural event. Christian Richter, a depa... news.osna.fm/?p=59589 | #news #damage #doctors #eclipse #eye

  22. Following the partial solar eclipse over Germany, ophthalmologists have diagnosed eye injuries in some observers of the natural event. Christian Richter, a depa... news.osna.fm/?p=59589 | #news #damage #doctors #eclipse #eye

  23. Following the partial solar eclipse over Germany, ophthalmologists have diagnosed eye injuries in some observers of the natural event. Christian Richter, a depa... news.osna.fm/?p=59589 | #news #damage #doctors #eclipse #eye

  24. Following the partial solar eclipse over Germany, ophthalmologists have diagnosed eye injuries in some observers of the natural event. Christian Richter, a depa... news.osna.fm/?p=59589 | #news #damage #doctors #eclipse #eye

  25. At least 14 people have died following a severe 7.7 magnitude earthquake off the coast of the Indonesian island of Flores, according to the national disaster ma... news.osna.fm/?p=59580 | #news #amid #damage #earthquake #hit

  26. At least 14 people have died following a severe 7.7 magnitude earthquake off the coast of the Indonesian island of Flores, according to the national disaster ma... news.osna.fm/?p=59580 | #news #amid #damage #earthquake #hit

  27. At least 14 people have died following a severe 7.7 magnitude earthquake off the coast of the Indonesian island of Flores, according to the national disaster ma... news.osna.fm/?p=59580 | #news #amid #damage #earthquake #hit

  28. At least 14 people have died following a severe 7.7 magnitude earthquake off the coast of the Indonesian island of Flores, according to the national disaster ma... news.osna.fm/?p=59580 | #news #amid #damage #earthquake #hit

  29. Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
    --
    doi.org/10.1029/2025WR041393 <-- shared paper
    --
    americanprogress.org/article/h <-- shared technical/opinion article
    --
    carbonbrief.org/us-flooding-in <-- shared technical/opinion article
    --
    headwaterseconomics.org/natura <-- shared technical/opinion article
    --
    youtu.be/8jVRsD8wgMM?si=qBHchW <-- shared opinion video
    --
    fedcommunities.org/lower-incom <-- shared technical/opinion article
    --
    H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
    “How can we better understand the dynamic feedbacks between the environment and society?
    Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
    In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
    [Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
    #risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost

  30. Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
    --
    doi.org/10.1029/2025WR041393 <-- shared paper
    --
    americanprogress.org/article/h <-- shared technical/opinion article
    --
    carbonbrief.org/us-flooding-in <-- shared technical/opinion article
    --
    headwaterseconomics.org/natura <-- shared technical/opinion article
    --
    youtu.be/8jVRsD8wgMM?si=qBHchW <-- shared opinion video
    --
    fedcommunities.org/lower-incom <-- shared technical/opinion article
    --
    H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
    “How can we better understand the dynamic feedbacks between the environment and society?
    Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
    In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
    [Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
    #risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost

  31. Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
    --
    doi.org/10.1029/2025WR041393 <-- shared paper
    --
    americanprogress.org/article/h <-- shared technical/opinion article
    --
    carbonbrief.org/us-flooding-in <-- shared technical/opinion article
    --
    headwaterseconomics.org/natura <-- shared technical/opinion article
    --
    youtu.be/8jVRsD8wgMM?si=qBHchW <-- shared opinion video
    --
    fedcommunities.org/lower-incom <-- shared technical/opinion article
    --
    H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
    “How can we better understand the dynamic feedbacks between the environment and society?
    Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
    In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
    [Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
    #risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost

  32. Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
    --
    doi.org/10.1029/2025WR041393 <-- shared paper
    --
    americanprogress.org/article/h <-- shared technical/opinion article
    --
    carbonbrief.org/us-flooding-in <-- shared technical/opinion article
    --
    headwaterseconomics.org/natura <-- shared technical/opinion article
    --
    youtu.be/8jVRsD8wgMM?si=qBHchW <-- shared opinion video
    --
    fedcommunities.org/lower-incom <-- shared technical/opinion article
    --
    H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
    “How can we better understand the dynamic feedbacks between the environment and society?
    Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
    In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
    [Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
    #risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost

  33. Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
    --
    doi.org/10.1029/2025WR041393 <-- shared paper
    --
    americanprogress.org/article/h <-- shared technical/opinion article
    --
    carbonbrief.org/us-flooding-in <-- shared technical/opinion article
    --
    headwaterseconomics.org/natura <-- shared technical/opinion article
    --
    youtu.be/8jVRsD8wgMM?si=qBHchW <-- shared opinion video
    --
    fedcommunities.org/lower-incom <-- shared technical/opinion article
    --
    H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
    “How can we better understand the dynamic feedbacks between the environment and society?
    Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
    In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
    [Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”

  34. LIVE: Damage in Cali, Colombia, after earthquake hits

    Significant damage seen in Cali after powerful earthquake struck Colombia. #cali #colombia #earthquake #emergency #damage Keep up with the latest news from around the world:

    fllics.com/en/video/live-damag

  35. LIVE: Damage in Cali, Colombia, after earthquake hits

    Significant damage seen in Cali after powerful earthquake struck Colombia. #cali #colombia #earthquake #emergency #damage Keep up with the latest news from around the world:

    fllics.com/en/video/live-damag