Citizen science approach for spatiotemporal modelling of air pollution quality and traffic in Lima, Peru

Abstract

Citizen and data science with the support of the Industrial Internet of Things (IIoT) present promising means to develop a dialogue between these themes air pollution, traffic assessment and new environmental commitment of the government for new laws, regulations, and other policy mechanisms associated with the stakeholders to improve outcomes for air quality management. In this research, a new proposal technology was implemented in Lima, Peru for air quality monitor sensors (AQMS). This solution has a new architecture for environmental analytics associated with a new assessment Spatio-temporal modeling of particulate elements PM1, PM2.5 and PM10; humidity and the temperature associated with traffic.