🔬 New from Thermopedia: Toward Scalable Urban Heat Island Prediction, a CFD-informed ML study for BIPV design by Tkachenko et al. A random forest model predicts local temperature swings with R² > 0.96.
@jmc-journal.bsky.social
@jmc-journal.bsky.social🔬 New from Thermopedia: Toward Scalable Urban Heat Island Prediction, a CFD-informed ML study for BIPV design by Tkachenko et al. A random forest model predicts local temperature swings with R² > 0.96.
@plasmamedicine.bsky.social🔬 New from Thermopedia: Toward Scalable Urban Heat Island Prediction, a CFD-informed ML study for BIPV design by Tkachenko et al. A random forest model predicts local temperature swings with R² > 0.96.
@jmlmc.bsky.social🔬 New from Thermopedia: Toward Scalable Urban Heat Island Prediction, a CFD-informed ML study for BIPV design by Tkachenko et al. A random forest model predicts local temperature swings with R² > 0.96.
@begellhouse.bsky.social🔬 New from Thermopedia: Toward Scalable Urban Heat Island Prediction, a CFD-informed ML study for BIPV design by Tkachenko et al. A random forest model predicts local temperature swings with R² > 0.96.
@jwomminsciengr.bsky.social🔬 New from Thermopedia: Toward Scalable Urban Heat Island Prediction, a CFD-informed ML study for BIPV design by Tkachenko et al. A random forest model predicts local temperature swings with R² > 0.96.
@ijioejournal.bsky.social🔬 New from Thermopedia: Toward Scalable Urban Heat Island Prediction, a CFD-informed ML study for BIPV design by Tkachenko et al. A random forest model predicts local temperature swings with R² > 0.96.
@begellengineering.bsky.social🔬 New from Thermopedia: Toward Scalable Urban Heat Island Prediction, a CFD-informed ML study for BIPV design by Tkachenko et al. A random forest model predicts local temperature swings with R² > 0.96.
@wayne003.bsky.socialUrban heat and air pollution in Kano 🌡️ Built-up land: 67.4% of metropolis, drives heat. 📊 PM2.5-LST link: r = 0.74; PM10: r = 0.61. 🌫️ 53.6% under unhealthy air quality. DOI: https://doi.org/10.32604/rig.2026.084692 #UrbanHeatIsland #AirQuality
@wayne002.bsky.socialUrban heat and air pollution in Kano 🌡️ Built-up land: 67.4% of metropolis, drives heat. 📊 PM2.5-LST link: r = 0.74; PM10: r = 0.61. 🌫️ 53.6% under unhealthy air quality. DOI: https://doi.org/10.32604/rig.2026.084692 #UrbanHeatIsland #AirQuality
@w77576780.bsky.socialUrban heat and air pollution in Kano 🌡️ Built-up land: 67.4% of metropolis, drives heat. 📊 PM2.5-LST link: r = 0.74; PM10: r = 0.61. 🌫️ 53.6% under unhealthy air quality. DOI: https://doi.org/10.32604/rig.2026.084692 #UrbanHeatIsland #AirQuality
@citizenptnewsva.bsky.socialWythe County residents are raising alarms about the potential dangers of data centers, urging officials to prioritize transparency and community health over rapid approvals.
Learn more here
#WytheCounty #VA #CitizenPortal #DataCenterDevelopment #UrbanHeatIsland #PublicTransparency
@citizenptnewsca.bsky.socialResidents and young advocates in Benicia are demanding urgent action on the environmental fallout from proposed data centers, highlighting alarming water consumption and carbon emissions.
Get the details!
#BeniciaCitySolanoCounty #CA #CitizenPortal #UrbanHeatIsland #BeniciaCity
@activist360.bsky.socialA national thermal mapping index released today reveals Britain's cities most vulnerable to lethal heatwaves, with London, Portsmouth & Plymouth facing highest risks from dense masonry & lack of urban canopy.
tinyurl.com/bp97b96t #ExtremeHeat #UrbanHeatIsland #ClimateAdaptation #UK