Tipo de Trabajo Académico: Trabajo Fin de Master
Notas: Abstract: Urban air quality challenges represent the second environmental priority of the European Commission because of its effects on human health. With this premise, this work developed in the context of the research project TRAFAIR: Understanding traffic flows to improve air quality (2017-EU-IA-0167) has focused on the processing and publication of air quality monitoring data sets in the prototype of the infrastructure deployed by the project for the city of Zaragoza. Firstly, the sensor networks of the monitoring systems for data collection have been identified: the regulated stations of the Zaragoza City Council and the low-cost sensors deployed by the TRAFAIR project. Based on the data provided by the sensors, a database model has been implemented for their storage. Secondly, an architecture has been proposed for publishing part of the data stored in the TRAFAIR database through the Geoserver spatial data server. For this purpose, both discrete phenomenon layers, partial views of the information stored in the database, and spatial coverage generated from interpolation algorithms have been modeled. As for open access publishing, a software has been implemented and adapted for the creation of the layers through the Geoserver Rest API, which in turn has allowed access to the data through standard services defined by the Open Geospatial Consortium (OGC). For the dissemination of the data in open data portals, we have also participated in the implementation of a software to export the information of the Geoserver layers as GeoDCAT-AP type metadata in CKAN type servers. In addition, a strategy has been proposed to distribute some data sets in specific formats (CSV, RDF, NetCDF). Finally, the quality of the published spatial data has been analyzed from different points of view: conformity with the INSPIRE data specifications, quality of the GeoDCAT-AP metadata from a methodology based on the procedure used by the European Data Portal; analysis of the completeness of the observations; and analysis of the accuracy of the observations from the TRAFAIR project sensors.