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#model — Public Fediverse posts

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

  1. Fabia's stunning wherever she may be, so placing her in a bright and hazy beach setting might just be beauty overkill (and totally worth it!)

    Talent: @fabia.hoekstra
    Assist: @carmenbellos1

    Sony A7rV
    Sigma 65mm 2.0 DG DN
    1/640th | f 3.2 | iso 100
    Available light

    #brandonjacksonphoto #valenciaphotographer #valenciafotografo #model #beauty #beach #style #white #wind #sun

  2. Fabia's stunning wherever she may be, so placing her in a bright and hazy beach setting might just be beauty overkill (and totally worth it!)

    Talent: @fabia.hoekstra
    Assist: @carmenbellos1

    Sony A7rV
    Sigma 65mm 2.0 DG DN
    1/640th | f 3.2 | iso 100
    Available light

    #brandonjacksonphoto #valenciaphotographer #valenciafotografo #model #beauty #beach #style #white #wind #sun

  3. Global Groundwater Drought Recovery Patterns
    --
    uu.nl/en/news/global-groundwat <-- shared technical article
    --
    doi.org/10.1088/3033-4942/aea6 <-- shared paper
    --
    doi.org/10.1126/science.adu1370 <-- shared paper
    --
    H/T @Faculty of Geosciences (Utrecht University)
    “A few days of rain does not change the low groundwater levels after a long drought. To better determine how groundwater systems recover after a drought and which groundwater reserves are most vulnerable, [a] hydrologist… developed a method to classify groundwater systems based on their ability to recover from long drought. With a very high resolution global groundwater model (1 kilometre) it was possible to determine and analyse how a groundwater system responds during a drought and how quickly it can recover. This provides policymakers with the means to better respond to or prevent severe groundwater problems in the future…”
    --
    “[The author] investigated the various factors that make the groundwater recover or not after a period of drought by looking at a large range of groundwater drought events around the globe. Climate plays a major role, but at the local level the geology and landscape are additional important factors for drought recovery. Looking at these different drivers, [they were] able to make a classification in groundwater systems. It turned out that the majority of locations has resilient groundwater systems (57%), exhibiting rapid and robust recovery following droughts. Vulnerable (15%) and stable locations are shaped by geophysical constraints and heightened climate variability, whereas unstable regions (26%) are characterised by frequent, successive drought events leading to a reduced drought recovery capacity and strong impacts on the groundwater system…”
    #groundwater #drought #recovery #hydrology #waterresources #sustainability #global #patterns #spatialanalysis #spatiotemporal #spatial #mapping #watermanagement #precipitation #rainfall #extremeweather #pumping #extraction #watersecurity #water #hydrology #reserves #aquifer #climatechange #planning #policy #model #modeling #geology #landscape #systems #geophysics
    @utrechtuniversity

  4. Global Groundwater Drought Recovery Patterns
    --
    uu.nl/en/news/global-groundwat <-- shared technical article
    --
    doi.org/10.1088/3033-4942/aea6 <-- shared paper
    --
    doi.org/10.1126/science.adu1370 <-- shared paper
    --
    H/T @Faculty of Geosciences (Utrecht University)
    “A few days of rain does not change the low groundwater levels after a long drought. To better determine how groundwater systems recover after a drought and which groundwater reserves are most vulnerable, [a] hydrologist… developed a method to classify groundwater systems based on their ability to recover from long drought. With a very high resolution global groundwater model (1 kilometre) it was possible to determine and analyse how a groundwater system responds during a drought and how quickly it can recover. This provides policymakers with the means to better respond to or prevent severe groundwater problems in the future…”
    --
    “[The author] investigated the various factors that make the groundwater recover or not after a period of drought by looking at a large range of groundwater drought events around the globe. Climate plays a major role, but at the local level the geology and landscape are additional important factors for drought recovery. Looking at these different drivers, [they were] able to make a classification in groundwater systems. It turned out that the majority of locations has resilient groundwater systems (57%), exhibiting rapid and robust recovery following droughts. Vulnerable (15%) and stable locations are shaped by geophysical constraints and heightened climate variability, whereas unstable regions (26%) are characterised by frequent, successive drought events leading to a reduced drought recovery capacity and strong impacts on the groundwater system…”
    #groundwater #drought #recovery #hydrology #waterresources #sustainability #global #patterns #spatialanalysis #spatiotemporal #spatial #mapping #watermanagement #precipitation #rainfall #extremeweather #pumping #extraction #watersecurity #water #hydrology #reserves #aquifer #climatechange #planning #policy #model #modeling #geology #landscape #systems #geophysics
    @utrechtuniversity

  5. Global Groundwater Drought Recovery Patterns
    --
    uu.nl/en/news/global-groundwat <-- shared technical article
    --
    doi.org/10.1088/3033-4942/aea6 <-- shared paper
    --
    doi.org/10.1126/science.adu1370 <-- shared paper
    --
    H/T @Faculty of Geosciences (Utrecht University)
    “A few days of rain does not change the low groundwater levels after a long drought. To better determine how groundwater systems recover after a drought and which groundwater reserves are most vulnerable, [a] hydrologist… developed a method to classify groundwater systems based on their ability to recover from long drought. With a very high resolution global groundwater model (1 kilometre) it was possible to determine and analyse how a groundwater system responds during a drought and how quickly it can recover. This provides policymakers with the means to better respond to or prevent severe groundwater problems in the future…”
    --
    “[The author] investigated the various factors that make the groundwater recover or not after a period of drought by looking at a large range of groundwater drought events around the globe. Climate plays a major role, but at the local level the geology and landscape are additional important factors for drought recovery. Looking at these different drivers, [they were] able to make a classification in groundwater systems. It turned out that the majority of locations has resilient groundwater systems (57%), exhibiting rapid and robust recovery following droughts. Vulnerable (15%) and stable locations are shaped by geophysical constraints and heightened climate variability, whereas unstable regions (26%) are characterised by frequent, successive drought events leading to a reduced drought recovery capacity and strong impacts on the groundwater system…”

    @utrechtuniversity

  6. Groundwater Occurrence And Quality In A Hyper-Arid Desert - Insights From High-Resolution Electrical Resistivity Surveys In Tharparkar, Pakistan
    --
    doi.org/10.1007/s10040-026-031 <-- shared paper
    --
    H/T @Naveed Iqbal, PhD
    “🌍 Using geophysical and hydrochemical evidence, the study sheds new light on groundwater occurrence and quality in Tharparkar, one of Pakistan’s most water-scarce regions, where access to reliable and safe water remains a persistent challenge.
    💧 Why does this research matter? By integrating high-resolution electrical resistivity surveys with groundwater-quality information, the study improves understanding of where groundwater occurs, subsurface aquifer conditions, and the spatial variability of groundwater quality in this complex and hyper-arid environment.
    The findings can support the research community, water-sector institutions, planners, and development practitioners by providing an improved scientific basis for:
    🔹 Targeting areas with better groundwater potential and reducing uncertainty in groundwater exploration.
    🔹 Guiding the siting and development of groundwater sources for community water supply.
    🔹 Incorporating groundwater quality into decisions on the suitability and sustainable use of available resources.
    🔹 Supporting evidence-based groundwater management and water-security planning in Tharparkar.
    🔹 Providing a methodological reference for groundwater investigations in other data-scarce, arid and hyper-arid regions.
    Beyond its scientific contribution, the research has an important practical dimension: better knowledge of groundwater occurrence and quality can help water managers make more informed decisions about where and how limited groundwater resources should be explored, developed, protected, and managed to improve reliable water access for water-scarce communities…”
    #Groundwater #Hydrogeology #Hydrogeophysics #WaterSecurity #Tharparkar #Pakistan #WaterResources #GroundwaterManagement #WaterSupply #ElectricalResistivity #WaterQuality #AridRegions #research #desert #rainfall #precipitation #recharge #water #hydrology #remotesensing #hydrochemistry #spatial #spatialanalysis #aquifer #model #modeling #arid #hyperarid #exploration #investigation #wells #watermanagement #community #planning #waterscarce #climate #electricalresistivity #survey #ERS #instrumentation #salinity #freshwater

  7. Groundwater Occurrence And Quality In A Hyper-Arid Desert - Insights From High-Resolution Electrical Resistivity Surveys In Tharparkar, Pakistan
    --
    doi.org/10.1007/s10040-026-031 <-- shared paper
    --
    H/T @Naveed Iqbal, PhD
    “🌍 Using geophysical and hydrochemical evidence, the study sheds new light on groundwater occurrence and quality in Tharparkar, one of Pakistan’s most water-scarce regions, where access to reliable and safe water remains a persistent challenge.
    💧 Why does this research matter? By integrating high-resolution electrical resistivity surveys with groundwater-quality information, the study improves understanding of where groundwater occurs, subsurface aquifer conditions, and the spatial variability of groundwater quality in this complex and hyper-arid environment.
    The findings can support the research community, water-sector institutions, planners, and development practitioners by providing an improved scientific basis for:
    🔹 Targeting areas with better groundwater potential and reducing uncertainty in groundwater exploration.
    🔹 Guiding the siting and development of groundwater sources for community water supply.
    🔹 Incorporating groundwater quality into decisions on the suitability and sustainable use of available resources.
    🔹 Supporting evidence-based groundwater management and water-security planning in Tharparkar.
    🔹 Providing a methodological reference for groundwater investigations in other data-scarce, arid and hyper-arid regions.
    Beyond its scientific contribution, the research has an important practical dimension: better knowledge of groundwater occurrence and quality can help water managers make more informed decisions about where and how limited groundwater resources should be explored, developed, protected, and managed to improve reliable water access for water-scarce communities…”
    #Groundwater #Hydrogeology #Hydrogeophysics #WaterSecurity #Tharparkar #Pakistan #WaterResources #GroundwaterManagement #WaterSupply #ElectricalResistivity #WaterQuality #AridRegions #research #desert #rainfall #precipitation #recharge #water #hydrology #remotesensing #hydrochemistry #spatial #spatialanalysis #aquifer #model #modeling #arid #hyperarid #exploration #investigation #wells #watermanagement #community #planning #waterscarce #climate #electricalresistivity #survey #ERS #instrumentation #salinity #freshwater

  8. Groundwater Occurrence And Quality In A Hyper-Arid Desert - Insights From High-Resolution Electrical Resistivity Surveys In Tharparkar, Pakistan
    --
    doi.org/10.1007/s10040-026-031 <-- shared paper
    --
    H/T @Naveed Iqbal, PhD
    “🌍 Using geophysical and hydrochemical evidence, the study sheds new light on groundwater occurrence and quality in Tharparkar, one of Pakistan’s most water-scarce regions, where access to reliable and safe water remains a persistent challenge.
    💧 Why does this research matter? By integrating high-resolution electrical resistivity surveys with groundwater-quality information, the study improves understanding of where groundwater occurs, subsurface aquifer conditions, and the spatial variability of groundwater quality in this complex and hyper-arid environment.
    The findings can support the research community, water-sector institutions, planners, and development practitioners by providing an improved scientific basis for:
    🔹 Targeting areas with better groundwater potential and reducing uncertainty in groundwater exploration.
    🔹 Guiding the siting and development of groundwater sources for community water supply.
    🔹 Incorporating groundwater quality into decisions on the suitability and sustainable use of available resources.
    🔹 Supporting evidence-based groundwater management and water-security planning in Tharparkar.
    🔹 Providing a methodological reference for groundwater investigations in other data-scarce, arid and hyper-arid regions.
    Beyond its scientific contribution, the research has an important practical dimension: better knowledge of groundwater occurrence and quality can help water managers make more informed decisions about where and how limited groundwater resources should be explored, developed, protected, and managed to improve reliable water access for water-scarce communities…”
    #Groundwater #Hydrogeology #Hydrogeophysics #WaterSecurity #Tharparkar #Pakistan #WaterResources #GroundwaterManagement #WaterSupply #ElectricalResistivity #WaterQuality #AridRegions #research #desert #rainfall #precipitation #recharge #water #hydrology #remotesensing #hydrochemistry #spatial #spatialanalysis #aquifer #model #modeling #arid #hyperarid #exploration #investigation #wells #watermanagement #community #planning #waterscarce #climate #electricalresistivity #survey #ERS #instrumentation #salinity #freshwater

  9. Groundwater Occurrence And Quality In A Hyper-Arid Desert - Insights From High-Resolution Electrical Resistivity Surveys In Tharparkar, Pakistan
    --
    doi.org/10.1007/s10040-026-031 <-- shared paper
    --
    H/T @Naveed Iqbal, PhD
    “🌍 Using geophysical and hydrochemical evidence, the study sheds new light on groundwater occurrence and quality in Tharparkar, one of Pakistan’s most water-scarce regions, where access to reliable and safe water remains a persistent challenge.
    💧 Why does this research matter? By integrating high-resolution electrical resistivity surveys with groundwater-quality information, the study improves understanding of where groundwater occurs, subsurface aquifer conditions, and the spatial variability of groundwater quality in this complex and hyper-arid environment.
    The findings can support the research community, water-sector institutions, planners, and development practitioners by providing an improved scientific basis for:
    🔹 Targeting areas with better groundwater potential and reducing uncertainty in groundwater exploration.
    🔹 Guiding the siting and development of groundwater sources for community water supply.
    🔹 Incorporating groundwater quality into decisions on the suitability and sustainable use of available resources.
    🔹 Supporting evidence-based groundwater management and water-security planning in Tharparkar.
    🔹 Providing a methodological reference for groundwater investigations in other data-scarce, arid and hyper-arid regions.
    Beyond its scientific contribution, the research has an important practical dimension: better knowledge of groundwater occurrence and quality can help water managers make more informed decisions about where and how limited groundwater resources should be explored, developed, protected, and managed to improve reliable water access for water-scarce communities…”

  10. Mw 8.2 Tehuantepec, Mexico Earthquake Rupture Segmentation And A Plate Boundary Revealed By A Relocated Machine Learning Based Aftershock Catalog
    --
    doi.org/10.22541/essoar.150096 <-- shared paper
    --
    science.org/content/article/un <-- shared 2017 technical article
    --
    H/T @Allen Husker | Research Professor and Manager of the Southern California Seismic Network
    “The 2017 Mw8.2 Tehuantepec earthquake is the largest instrumentally recorded normal faulting earthquake in Mexico. It occurred offshore on a reactivated outer rise fault within the Tehuantepec megathrust seismic gap that is within the undefined intersection of the North American & Caribbean & Cocos plates. [The authors] analyze[d] a relocated machine learning generated aftershock catalog that used data from temporary and permanent seismic stations around the Gulf of Tehuantepec to further interpret the rupture process of this earthquake. Similar to other results, [they found] that the earthquake initiated 100 km offshore, running northwest 90 km into the intersection. [Their] findings then show that the rupture jumped 10 km inland as it crossed the trench-perpendicular Tehuantepec Ridge and continued another 60 km before stopping. [They] used finite fault inversions to distinguish between different possibilities for how the fault ruptured. A two-plane normal fault model offset at ridge, best represents the slip. Moment tensors reveal that the first section before the Ridge was highly complex with a large mix of moment tensors. After the jump across the Ridge, the earthquakes are solely thrust mechanism for 60 km. This indicates that the normal slip on the second half of the fault rupture probably over-slipped and the aftershocks represent the stress accommodation. There was a separate N-S trending divergent region at the location where the Tehuantepec earthquake stopped. [They] interpret this to be a break between the remaining sliver of the Caribbean plate and the North American plate…”
    #geology #risk #hazard #earthquake #Tehuantepec #Mexico #faulting #offshore #structuralgeology #megathrust #platetectonics #AI #machinelearning #model #modeling #seismic #seismology #GulfofTehuantepec #spatial #spatialanalysis #rupture #impacts #thrust #normalfaulting #aftershocks

  11. Mw 8.2 Tehuantepec, Mexico Earthquake Rupture Segmentation And A Plate Boundary Revealed By A Relocated Machine Learning Based Aftershock Catalog
    --
    doi.org/10.22541/essoar.150096 <-- shared paper
    --
    science.org/content/article/un <-- shared 2017 technical article
    --
    H/T @Allen Husker | Research Professor and Manager of the Southern California Seismic Network
    “The 2017 Mw8.2 Tehuantepec earthquake is the largest instrumentally recorded normal faulting earthquake in Mexico. It occurred offshore on a reactivated outer rise fault within the Tehuantepec megathrust seismic gap that is within the undefined intersection of the North American & Caribbean & Cocos plates. [The authors] analyze[d] a relocated machine learning generated aftershock catalog that used data from temporary and permanent seismic stations around the Gulf of Tehuantepec to further interpret the rupture process of this earthquake. Similar to other results, [they found] that the earthquake initiated 100 km offshore, running northwest 90 km into the intersection. [Their] findings then show that the rupture jumped 10 km inland as it crossed the trench-perpendicular Tehuantepec Ridge and continued another 60 km before stopping. [They] used finite fault inversions to distinguish between different possibilities for how the fault ruptured. A two-plane normal fault model offset at ridge, best represents the slip. Moment tensors reveal that the first section before the Ridge was highly complex with a large mix of moment tensors. After the jump across the Ridge, the earthquakes are solely thrust mechanism for 60 km. This indicates that the normal slip on the second half of the fault rupture probably over-slipped and the aftershocks represent the stress accommodation. There was a separate N-S trending divergent region at the location where the Tehuantepec earthquake stopped. [They] interpret this to be a break between the remaining sliver of the Caribbean plate and the North American plate…”
    #geology #risk #hazard #earthquake #Tehuantepec #Mexico #faulting #offshore #structuralgeology #megathrust #platetectonics #AI #machinelearning #model #modeling #seismic #seismology #GulfofTehuantepec #spatial #spatialanalysis #rupture #impacts #thrust #normalfaulting #aftershocks

  12. Mw 8.2 Tehuantepec, Mexico Earthquake Rupture Segmentation And A Plate Boundary Revealed By A Relocated Machine Learning Based Aftershock Catalog
    --
    doi.org/10.22541/essoar.150096 <-- shared paper
    --
    science.org/content/article/un <-- shared 2017 technical article
    --
    H/T @Allen Husker | Research Professor and Manager of the Southern California Seismic Network
    “The 2017 Mw8.2 Tehuantepec earthquake is the largest instrumentally recorded normal faulting earthquake in Mexico. It occurred offshore on a reactivated outer rise fault within the Tehuantepec megathrust seismic gap that is within the undefined intersection of the North American & Caribbean & Cocos plates. [The authors] analyze[d] a relocated machine learning generated aftershock catalog that used data from temporary and permanent seismic stations around the Gulf of Tehuantepec to further interpret the rupture process of this earthquake. Similar to other results, [they found] that the earthquake initiated 100 km offshore, running northwest 90 km into the intersection. [Their] findings then show that the rupture jumped 10 km inland as it crossed the trench-perpendicular Tehuantepec Ridge and continued another 60 km before stopping. [They] used finite fault inversions to distinguish between different possibilities for how the fault ruptured. A two-plane normal fault model offset at ridge, best represents the slip. Moment tensors reveal that the first section before the Ridge was highly complex with a large mix of moment tensors. After the jump across the Ridge, the earthquakes are solely thrust mechanism for 60 km. This indicates that the normal slip on the second half of the fault rupture probably over-slipped and the aftershocks represent the stress accommodation. There was a separate N-S trending divergent region at the location where the Tehuantepec earthquake stopped. [They] interpret this to be a break between the remaining sliver of the Caribbean plate and the North American plate…”
    #geology #risk #hazard #earthquake #Tehuantepec #Mexico #faulting #offshore #structuralgeology #megathrust #platetectonics #AI #machinelearning #model #modeling #seismic #seismology #GulfofTehuantepec #spatial #spatialanalysis #rupture #impacts #thrust #normalfaulting #aftershocks

  13. Mw 8.2 Tehuantepec, Mexico Earthquake Rupture Segmentation And A Plate Boundary Revealed By A Relocated Machine Learning Based Aftershock Catalog
    --
    doi.org/10.22541/essoar.150096 <-- shared paper
    --
    science.org/content/article/un <-- shared 2017 technical article
    --
    H/T @Allen Husker | Research Professor and Manager of the Southern California Seismic Network
    “The 2017 Mw8.2 Tehuantepec earthquake is the largest instrumentally recorded normal faulting earthquake in Mexico. It occurred offshore on a reactivated outer rise fault within the Tehuantepec megathrust seismic gap that is within the undefined intersection of the North American & Caribbean & Cocos plates. [The authors] analyze[d] a relocated machine learning generated aftershock catalog that used data from temporary and permanent seismic stations around the Gulf of Tehuantepec to further interpret the rupture process of this earthquake. Similar to other results, [they found] that the earthquake initiated 100 km offshore, running northwest 90 km into the intersection. [Their] findings then show that the rupture jumped 10 km inland as it crossed the trench-perpendicular Tehuantepec Ridge and continued another 60 km before stopping. [They] used finite fault inversions to distinguish between different possibilities for how the fault ruptured. A two-plane normal fault model offset at ridge, best represents the slip. Moment tensors reveal that the first section before the Ridge was highly complex with a large mix of moment tensors. After the jump across the Ridge, the earthquakes are solely thrust mechanism for 60 km. This indicates that the normal slip on the second half of the fault rupture probably over-slipped and the aftershocks represent the stress accommodation. There was a separate N-S trending divergent region at the location where the Tehuantepec earthquake stopped. [They] interpret this to be a break between the remaining sliver of the Caribbean plate and the North American plate…”

  14. New Zealand Rugby’s All Blacks-first model is holding women’s rugby back – Alice Soper

    Option two is a consolidation of rugby entities within regions; merging the Hurricanes with Wellington, the Blues with…
    #NewsBeep #News #Rugby #ALICE #all #AU #Australia #back #blacksfirst #Competitions #descended #discuss #domestic #future #holding #is #last #Men's #Model #New #powerbrokers #rugbys #soper #sports #thursday #wellington #Women's #zealand
    newsbeep.com/au/912589/

  15. petit shoot photo fait maison avec @snauw_flake tu pense qu'on va bien tout les deux ?
    ça te dirai qu'on se revoit ?

    #francais #model #man #bisexual #gay

  16. petit shoot photo fait maison avec @snauw_flake tu pense qu'on va bien tout les deux ?
    ça te dirai qu'on se revoit ?

    #francais #model #man #bisexual #gay

  17. europesays.com/ro/316900/ O Tesla a devenit astăzi prima maşină electrică din lume care a parcurs 3.000.000 km, marcând cifre impresionante şi la longevitatea bateriei şi motorului | PiataAuto.md #3 #3000000 #Afaceri #Business #electrica #gemmingen #hansjorg #hornberg #km #masina #milioane #model #parcurs #record #RO #Română #Romania #Romanian #s #tesla #von