flensburg Giermany - 54.7944,9.4481
We have wind speed and direction and air quality based on the PM readings, you could check for corrolation between we have the time of year and air qulity we have the ships location and navigational status we could test for corrolation berween the number of ships unde r way in the vacinity and the pollutuion levels ther may be a way of compensating for wind speed first and then see if the ships pollution has an effect.
Gov Requirement for ports: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/815665/port-air-quality-strategies.pdf
This challenge is about developing an Air Quality application.
- Uses predicted weather conditions including wind, pressure and temperature to determine likelihood (%) of poor air quality
- Should utilise seasonal data for worst air pollution time (April) for some pollutants
- Should utilise time of day for worst pollutants and retention of pollutants at a low level.
- Should utilise government warning sites of high pollen/high pollution likelihood
- Should be able to integrate and interpret data stream from air pollutant sensors in port
| Challenge Owner | Portsmouth Port / Portland Port | | Related smart port application domain | Optimizing energy efficiency / climate impact of port logistics | | Potential stakeholders | Software and IT | | Subcategory | | | Other related stakeholders | Port Operations | | Potential improvements to port logistics ecosystems | This app will help to measure the air quality in ports and optimise impact on ports. | | Use of “smart technology” for resolving this challenge | Sensors can be used to collect data for wind, temperature, pressure, etc. and IoT and Data Science can be used to predict poor air quality. | | Potential positive environmental effect | Predicting poor air quality may help to plan port logistics earlier and optimise the impact on air quality. |