Enabling Hyper-Local Air Quality Monitoring with Emerging Technologies: EMISSIONS & AIR QUALITY Smart Class 2H 2019 Retrospective

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By 2050 almost 70% of the world’s population will be living in urban areas, according to the UN Department for Economic and Social Affairs. This seismic shift is driving Smart City initiatives globally, with governments and local authorities coming under increasing legislative pressure to better monitor air quality and to deploy, and actively manage, ‘clean air zones’ across our cities.

On November 14th, Vortex IoT’s Steve Jones joined us in Birmingham for EMISSIONS & AIR QUALITY Smart Class 2H 2019, and delivered a thought-provoking view on the importance of the ‘Air that We Breathe’. Assisted by Senior Engineer, Dr Tim Mortensen, during the deeper-dive roundtable sessions that followed, Steve explained how emerging technologies and innovation will contribute to our ever-changing societal needs and how developing a new Hyper-Local Air Quality Monitoring (AQM) solution can provide revenue-generating opportunities for local authorities and play a key role in the creation of new urban business models that are essential as the shape of our towns and cities changes over time.

Access slides from Steve’s presentation by completing the short download form below:

We look forward to Vortex IoT’s next presentation at TRANSPORT Smart Class, Wales 2020, which we’re hosting in Cardiff on Friday January 31st!

 

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#Emissions&AirQuality  #SmartCities 

EMISSIONS & AIR QUALITY Smart Class 2H 2019

EMISSIONS & AIR QUALITY Smart Classes show key buyer side stakeholders how they can deploy the latest digital technology-enabled solutions, data-driven strategies and best practices to improve urban air quality and drive down emissions and air pollution in our cities and regions.

  14/11/2019

   Birmingham, UK

Sponsored by
Eunomia Research & Consulting
Hawa Dawa
Scotscape Group
Vortex IoT

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#Emissions&AirQuality  #SmartCities  #SmartGovernance  #SmartIndustry  #SmartInfrastructure  #SmartWaste  #SmartWater 

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