Ubiquitous Environmental Monitoring as Decision Tool - MONITAR SENSE: An Environmental Tool
Paulo Pinho, Sérgio Lopes, Gabriel Rodrigues, Pedro Colaço
2017
Abstract
Ambient (outdoor) Environmental Quality (AEQ) of urban areas and Indoor Environmental Quality (IEQ) of buildings are recognized as key factors that contribute to improve the position on ranking of smart cities. The challenge is being able to evaluate AEQ and IEQ in large scale, and making the results available, in real-time, so that decision makers can react according to the received information. Monitar started the implementation of an AEQ and IEQ monitoring network based on new environmental sensors and information and communication technologies (ICT), such as a web-based platform, in order to monitor environmental parameters in a large area at a lower cost than conventional environmental monitoring networks and to disseminate information to become available for decision. The data collected are the base for decision support tool to be used by building and district managers and also individual people. In terms of Smart City, in its component Smart Environment, the monitoring network uses different equipment that due to their dimension and price can be placed in several locations. ICT supports Smart Governance and Smart Living, also addressed by accessing information helping changing people’s behaviour. This paper describes the Environmental Monitoring Network applied by Monitar (designated MONITAR SENSE) in Central Portugal namely the mainframe and some results.
References
- Aleixandre M., Matatagui D., Santos J. P., Horrillo M. C., 2014. Cascade of Artificial Neural Network committees for the calibration of small gas commercial sensors for NO2, NH3 and CO. IEEE SENSORS 2014 Proceedings.
- Bagula, A., Zennaro, M., Inggs, G., Scott, S., & Gascon, D. 2012. Ubiquitous Sensor Networking for Development (USN4D): An Application to Pollution Monitoring.Sensors(Basel,Switzerland),12(1),391-14.
- Bakó-Biró Z, Clements-Croome D.J., Kochhar N., Awbi H.B., Williams M.J., 2012. Ventilation rates in schools and pupils performance. Building and Environment 48:215-23.
- Decisão n. º 1386/2013/UE do Parlamento Europeu e do Conselho de 20 de novembro de 2013 relativa a um programa geral de ação da União para 2020 em matéria de ambiente “Viver bem, dentro dos limites do nosso planeta”.
- EEA (European Environment Agency), 2015. Air quality in Europe. Report. EEA Report n. º 5/2015.
- Ghobakhlou A., Zandi S., Sallis P., 2011. Development of Environmental Monitoring System with Wireless Sensor Networks. 19th International Congress on Modelling and Simulation, Perth, Australia.
- Gozzi, F., Ventura, D.G., Marcelli, A., 2016. Mobile monitoring of particulate matter: State of art and perspectives. Atm. Pollution Research 7, 228-234.
- Haverinen-Shaughnessy U., Moschandreas D.J., Shaughnessy R.J., 2011. Association between substandard classroom ventilation rates and students academic achievement. Indoor Air, 21:121-31.
- Hwang, J., Shin, C., Yoe, H., 2010. Study on an Agricultural Environment Monitoring Server System using Wireless Sensor Networks. Sensors, 10(12), 11189-11211.
- Ikram J., Tahir A., Kazmi H., Khan Z., Javed R., Masood U., 2012. View: implementing low cost air quality monitoring solution for urban areas. Environmental Systems Research, 1:10.
- Johnson, K.K., Bergin, H.M., Russell, G.A., Hagler, W.S.G., 2016. Using Low Cost Sensors to Measure Ambient Particulate Matter Concentrations and OnRoad Emissions Factors. Atmospheric Measurement Techniques, amt-2015-331.
- Jovaševic-Stojanovica, M., Bartonovab, A., Topalovicc, D., Lazovica, I., Pokricd, B., Ristovskie, Z., 2015. On the use of small and cheaper sensors and devices for indicative citizen-based monitoring of respirable particulate matter. Envir. Pollution, V. 206, 696-704.
- Kumar P., Morawska L., Martani C., Biskos G., Neophytou M., Sabatino S. D., Bell M., Norford, Britter L.R., 2015. The rise of low-cost sensing for managing air pollution in cities. Environment International, Volume 75, 199-205.
- Madureira J., Alvim-Ferraz M., Rodrigues S., Gonçalves C., Azevedo M.C., Pinto E., Mayan O., 2009. Indoor Air Quality in Schools and Health Symptoms among Portuguese Teachers. Human and Ecological Risk Assessment: An Int. Journal, 15:159-69.
- MacDonell M., Raymond M., Wyker D., Finster M., Chang Y., Raymond T., Temple B., Scofield M., 2013. Research and Development Highlights: Mobile Sensors and Applications for Air Pollutants. Argonne National Laboratory Environmental Science Division (EVS) Argonne, IL, EPA/600/R-14/051.
- Mead M.I., et al., 2013. The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks. Atmospheric Environment, Volume 70, 186-203.
- Mendell M.J., Heath G.A., 2005. Do indoor pollutants and thermal conditions in schools influence student performance? A critical review of the literature. Indoor Air, 15:27-52.
- Shendell D.G., Prill R., Fisk W.J., Apte M.G., Blake D., Faulkner D., 2004. Associations between classroom CO2 concentrations and student attendance in Washington and Idaho. Indoor Air, 14:333-41.
- Snyder, E., P. Solomon, M. MacDonell, R. Williams, E. Thoma, D. Vallano, M. Raymond, AND D. Olson. Next generation air monitoring-a review of portable air pollution sensors. Presented at 2013 32nd annual AAAR, Portland, OR, September 30, 2013.
- Spinelle L., Aleixandre M., Gerboles M., 2013, Protocol of evaluation and calibration of low-cost gas sensors for the monitoring of air pollution, EUR 26112.
- Spinelle L., Gerboles M., Villani M. G., Aleixandre M., Bonavitacola F., 2017. Field calibration of a cluster of low-cost commercially available sensors for air quality monitoring. Part B: NO, CO and CO2. Sensors and Actuators B: Chemical, Vol. 238, Pages 706-715.
- Spinelle L., Gerboles M., Villani M. G., Aleixandre M., Bonavitacola F., 2015. Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide. Sensors and Actuators B: Chemical, Volume 215, Pages 249-257.
- WHO (World Health Organization), 2010. WHO Guidelines for Indoor Air Quality: Selected Pollutants. WHO Regional Office for Europe.
- WHO (World Health Organization), 2001. Occupational and community noise. Fact sheet N.258. Feb. 2001.
- Williams, R., Kaufman, A., Hanley, T., Rice, J., Garvey, S., 2014. Evaluation of Field-deployed Low Cost PM Sensors. United States Environmental Protection Agency. EPA/600/R-14/464.
- Yun, J. , Baek, J. , Kang, B. , Park, P. 2012. 'Development of Workplace Environmental Monitoring Systems Using Ubiquitous Sensor Network'. World Academy of Science, Engineering and Technology, International Science Index 70, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 6(10), 2210 - 2214.
- Moltchanov S., Levy I., Etzion Y., Lerner U., Broday D.M., Fishbain B., 2015. On the feasibility of measuring air pollution at dense urban areas by wireless distributed sensor networks. Science of the Total Environment. 502:537-547.
Paper Citation
in Harvard Style
Pinho P., Lopes S., Rodrigues G. and Colaço P. (2017). Ubiquitous Environmental Monitoring as Decision Tool - MONITAR SENSE: An Environmental Tool . In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-241-7, pages 274-280. DOI: 10.5220/0006344002740280
in Bibtex Style
@conference{smartgreens17,
author={Paulo Pinho and Sérgio Lopes and Gabriel Rodrigues and Pedro Colaço},
title={Ubiquitous Environmental Monitoring as Decision Tool - MONITAR SENSE: An Environmental Tool},
booktitle={Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2017},
pages={274-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006344002740280},
isbn={978-989-758-241-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Ubiquitous Environmental Monitoring as Decision Tool - MONITAR SENSE: An Environmental Tool
SN - 978-989-758-241-7
AU - Pinho P.
AU - Lopes S.
AU - Rodrigues G.
AU - Colaço P.
PY - 2017
SP - 274
EP - 280
DO - 10.5220/0006344002740280