• At the charging stations, daily concentrations of dangerous air particles, known as PM2.5, ranged from 7.3 to 39.0 micrograms per cubic meter.
  • Urban sites without fast-charging stations had concentrations of PM2.5 ranging from only 3.6 to 12.4 micrograms per cubic meter.
  • The tiny particles likely come from particle resuspension around Direct Current Fast Charging power cabinets. Cooling fans designed to prevent the electronics from overheating can also stir up dust and particles from internal surfaces.
  • RecallMadness@lemmy.nz
    link
    fedilink
    English
    arrow-up
    81
    arrow-down
    3
    ·
    8 days ago

    Now do PM and VOC levels at petrol stations.

    Then PM and VoC levels on roads entirely occupied by combustion vehicles, and entirely occupied by electric vehicles.

    • Phoenixz@lemmy.ca
      link
      fedilink
      English
      arrow-up
      11
      arrow-down
      2
      ·
      8 days ago

      I get what you’re saying but I’m not seeing this as “electric cars suck” but more as “we found another place where we can improve”

      This seems to me an issue that can be fixed with a few air filters which would require very infrequent replacements

    • douglasg14b@lemmy.world
      link
      fedilink
      English
      arrow-up
      3
      arrow-down
      3
      ·
      edit-2
      7 days ago

      I too love a heavy dose of whataboutism with my science.

      I think we all know petrol is worse by a huge margin. More knowledge about electric vehicles and their effects is just more good for engineers.

      It means there is more room to improve and make things better.

  • wildbus8979@sh.itjust.works
    link
    fedilink
    English
    arrow-up
    38
    arrow-down
    1
    ·
    8 days ago
    • The tiny particles likely come from particle resuspension around Direct Current Fast Charging power cabinets. Cooling fans designed to prevent the electronics from overheating can also stir up dust and particles from internal surfaces.

    a) that doesn’t really sound like the fault of EVs or the charging stations themselves. Any sort of very moderate air current would cause the same problem.

    b) that sounds pretty easy to fix with some filters simple pleated filters, and that would leave the surrounding environment cleaner than they used to be.

  • Bosht@lemmy.world
    link
    fedilink
    English
    arrow-up
    34
    arrow-down
    4
    ·
    8 days ago

    Jesus they will release any study to try and smear electric. It’s the same argument as cigs vs vapes. Yes they’re both bad and not the best solution, but one is obviously better than the other. Plus how are they separating contamination of the charging stations from any other area where normal ass cars operate. There’s just as much of a chance if not more that those particles are from the gas vehicles driving around, and not something specific to the chargers.

  • Theoriginalthon@lemmy.world
    link
    fedilink
    English
    arrow-up
    26
    arrow-down
    3
    ·
    edit-2
    8 days ago

    Urban backgrounds n=4 and gas stations n=8

    are you fucking kidding me

    Why higher particulate matter was found in the air at EV-charging stations?

    Because your sample sizes are shit, which means your methodology is probably also shit and the report carries less weight than a shampoo advert statistics

  • AbidingOhmsLaw@lemmy.ml
    link
    fedilink
    English
    arrow-up
    21
    arrow-down
    1
    ·
    8 days ago

    Look at the map this is just higher near larger population, Correlation vs. Causation. This smells like bull shit.

    • VicksVaporBBQrub@sh.itjust.works
      link
      fedilink
      English
      arrow-up
      4
      ·
      edit-2
      8 days ago

      A research participant, Yifang Zhu, is tied to a thing called Mobility Justice Frameworks. It’s pushing for greenspaces in urban areas, including making existing infrastructures look bad for its cause(s).

      The research team has more A.I. tools than proper researching. It’s odd.

    • tomalley8342@lemmy.world
      link
      fedilink
      English
      arrow-up
      2
      arrow-down
      1
      ·
      7 days ago

      Do you not see the summary text in your front end, or did you just not read it? This is what it looks like on the default web front end on my instance:

      • davidgro@lemmy.world
        link
        fedilink
        English
        arrow-up
        2
        ·
        7 days ago

        Were those other urban areas specifically parking lots/garages? (The places that charging stations tend to be)

      • AbidingOhmsLaw@lemmy.ml
        link
        fedilink
        English
        arrow-up
        2
        arrow-down
        1
        ·
        7 days ago

        I also saw where they used a graphic of the entire US when the study only encompasses 1 county in California.

  • VicksVaporBBQrub@sh.itjust.works
    link
    fedilink
    English
    arrow-up
    5
    ·
    edit-2
    8 days ago

    I just web searched the names of this research team… The last one on the list is a teeth-puller, folks.

    Yuan Yao, teacher of sustainable systems.

    Muchuan Niu, UCLA student, MS in Environmental Sciences.

    Haoxuan Chen, Stanford student, machine learning.

    Qiao Yu, Shanghai A.I. Laboratory.

    Qingyang Wu, private A.I. developer.

    Yuhang Li, student, Art History, A.I. cloud data processor.

    Yijie Zhang, UCLA student, A.I. machine learning.

    Aydogan Ozcan, UCLA, computational imaging and deep learning optics.

    Michael Jerrett, teacher at UCLA, geographic information systems science, spatial exposure science.

    Yifang Zhu, student in Environmental Sciences, associate of UCLA Fielding School project group, funds and\or law underwriter for Mobility Justice Frameworks (Mobility Justice is an almost eco-extremist entity that also uses racial cause to gather USDOT public funding).

    • VicksVaporBBQrub@sh.itjust.works
      link
      fedilink
      English
      arrow-up
      1
      ·
      edit-2
      8 days ago

      My bottom-of-the-rabbit-hole best guess. Create premature science data media for campaigns for lawmakers to push for more greenspaces in urban areas.