Aalborg low cost Air Quality Sensor Network: A pilot project implementation
Student thesis: Master Thesis and HD Thesis
- Diana Carolina Moreno Saltos
4. semester, Joint European Master in Environmental Studies - Cities and Sustainability (JEMES CiSu) (Master Programme)
Smart cities worldwide currently use wireless technology and Internet of Things platform in order to widen their monitoring, assessment and analysis of environmental parameters such as air quality. Agglomerated urban areas have proven to be the most contaminated ones, posing a major threat for human direct exposure. This work has the intention to deploy a low cost air quality monitoring sensor network as a pilot program for a medium sized city. Air quality metrics, data strategy, methodologies and opportunities for future works are identified. The main research question proposed is the following: How can the implementation of a low cost air quality monitoring sensor network deliver value to the city of Aalborg? Low cost AQ sensors were allocated and distributed accordingly to the city context in the urban background of the city of Aalborg. Literature review is proposed to emphasize the importance of accountability on air quality pollution along with proposed similar initiatives in other cities. Document analysis is used to gain information about the instruments and the potentials of the metrics of its measurements. Geographical analysis and observations are conducted for the correspondent allocation of the instruments throughout the city. All these, complemented with interviews related with similar projects. At last, the air quality sensor network was deployed through the utilization of strategically installed gaseous pollutant wireless sensors. The work concludes with the deployment of the pilot along with the first experiences of its implementation. Additionally, further usage of the air quality data obtained from the wireless sensor network is proposed.
Language | English |
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Publication date | 8 Jun 2018 |
Number of pages | 84 |
Images
Low cost air quality sensor network

Data value chain