10th International Aerosol Conference September 2 - September 7, 2018 America's Center Convention Complex St. Louis, Missouri, USA
Abstract View
Application of Low-Cost Sensors for the Monitoring of Air Quality by Bicycle
ERICK KILL, Paulo Saldiva, Luiz Pereira, University of São Paulo
Abstract Number: 341 Working Group: Remote/Regional Atmospheric Aerosol
Abstract Air pollution is a serious public health problem around the world. Studies that investigate the relationship between air pollution and human health are fundamental to management that aims to promote urban development and quality of life. Air quality monitoring systems are an early premise for such studies, especially so that it focuses on spatial assessment.
In this sense, low-cost sensors expand new possibilities for monitoring air quality. The protocols and monitoring sensors are extremely new, justifying the need for research to integrate technologies and improve environmental information systems. An important point for improving air quality monitoring is the sharing of environmental data from different sources (public and private companies), a real-time system in order to take advantage of data from different sensor networks.
Currently, monitoring by networks of fixed stations are managed by official entities related to the environment. This monitoring has high reliability in data generation and is capable of accurately measuring a wide range of air pollutants using traditional instruments. However, the disadvantages of such measurement systems are their large dimensions, high cost and complex maintenance.
There are some basic limitations to the approaches used to control and publish air quality data: the spatial resolution of pollution sampling is low, making it necessary to use mathematical models to estimate concentrations of pollutants in unmonitored areas of metropolitan regions ; Current observations of concentrations do not reflect actual exposures experienced by humans due to the spatial heterogeneity of pollutant concentrations and the mobility patterns of individuals.
Trying to contribute to minimize this identified gap, the objective of this present project is the implementation of low cost networks for air quality monitoring, using Internet Protocols of Things (IoT) protocols, models for evaluation and calibration of these equipments. of personal and local evaluation, selected as an object of agreement, based on the analysis data of the air quality network of the Environmental Company of the State of São Paulo (CETESB), remote sensing data, analytical tests (trace gases), resulting in an air quality network model.
The research method adopted will be the use of statistical models and data collection in the field (remote sensing and micro controlled equipment on board). As some of the expected results of the work are: results with local and spatial variability of air quality (real time), precision adjustments against currently adopted models, development of WebGIS portal (room of situation) and availability of results in application platform mobile (app).