Air quality monitoring in Mauritius

Praveer Towakel, Shivanand Guness, Amar Seeam, Girish Bekaroo, Xavier Bellekens

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The aim of this project is to develop a low cost air quality monitoring system. The proposed system used the Raspberry Pi board, Arduino board, Grove sensors and Microsoft’s Azure based cloud service for data storage and analysis. The data was captured from the 10th of May to the 31st of August 2017 in Bonne Terre, Vacoas. It was found that during the data capture period there was one occurrence in May and two occurrences in August where the PM 2.5 and PM 10 were above the 25 ug/m3 and 50 ug/m3 level based on WHO guidelines.
LanguageEnglish
Title of host publication2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)
PublisherIEEE
Number of pages5
ISBN (Electronic)9781538664773
DOIs
Publication statusPublished - 7 Jan 2019
Event2018 International Conference on Intelligent and Innovative Computing Applications - holiday Inn, Mon Tresor, Plaine Magnien, Mauritius
Duration: 6 Dec 20187 Dec 2018
http://mauricon.org/

Conference

Conference2018 International Conference on Intelligent and Innovative Computing Applications
Abbreviated titleICONIC
CountryMauritius
CityPlaine Magnien
Period6/12/187/12/18
Internet address

Fingerprint

Mauritius
air quality
groves
raspberries
monitoring

Cite this

Towakel, P., Guness, S., Seeam, A., Bekaroo, G., & Bellekens, X. (2019). Air quality monitoring in Mauritius. In 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC) IEEE . https://doi.org/10.1109/ICONIC.2018.8601245
Towakel, Praveer ; Guness, Shivanand ; Seeam, Amar ; Bekaroo, Girish ; Bellekens, Xavier. / Air quality monitoring in Mauritius. 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC). IEEE , 2019.
@inproceedings{0a0f5ee98ddd4977894dd110b5a108b7,
title = "Air quality monitoring in Mauritius",
abstract = "The aim of this project is to develop a low cost air quality monitoring system. The proposed system used the Raspberry Pi board, Arduino board, Grove sensors and Microsoft’s Azure based cloud service for data storage and analysis. The data was captured from the 10th of May to the 31st of August 2017 in Bonne Terre, Vacoas. It was found that during the data capture period there was one occurrence in May and two occurrences in August where the PM 2.5 and PM 10 were above the 25 ug/m3 and 50 ug/m3 level based on WHO guidelines.",
author = "Praveer Towakel and Shivanand Guness and Amar Seeam and Girish Bekaroo and Xavier Bellekens",
year = "2019",
month = "1",
day = "7",
doi = "10.1109/ICONIC.2018.8601245",
language = "English",
booktitle = "2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)",
publisher = "IEEE",

}

Towakel, P, Guness, S, Seeam, A, Bekaroo, G & Bellekens, X 2019, Air quality monitoring in Mauritius. in 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC). IEEE , 2018 International Conference on Intelligent and Innovative Computing Applications, Plaine Magnien, Mauritius, 6/12/18. https://doi.org/10.1109/ICONIC.2018.8601245

Air quality monitoring in Mauritius. / Towakel, Praveer; Guness, Shivanand; Seeam, Amar; Bekaroo, Girish; Bellekens, Xavier.

2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC). IEEE , 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Air quality monitoring in Mauritius

AU - Towakel, Praveer

AU - Guness, Shivanand

AU - Seeam, Amar

AU - Bekaroo, Girish

AU - Bellekens, Xavier

PY - 2019/1/7

Y1 - 2019/1/7

N2 - The aim of this project is to develop a low cost air quality monitoring system. The proposed system used the Raspberry Pi board, Arduino board, Grove sensors and Microsoft’s Azure based cloud service for data storage and analysis. The data was captured from the 10th of May to the 31st of August 2017 in Bonne Terre, Vacoas. It was found that during the data capture period there was one occurrence in May and two occurrences in August where the PM 2.5 and PM 10 were above the 25 ug/m3 and 50 ug/m3 level based on WHO guidelines.

AB - The aim of this project is to develop a low cost air quality monitoring system. The proposed system used the Raspberry Pi board, Arduino board, Grove sensors and Microsoft’s Azure based cloud service for data storage and analysis. The data was captured from the 10th of May to the 31st of August 2017 in Bonne Terre, Vacoas. It was found that during the data capture period there was one occurrence in May and two occurrences in August where the PM 2.5 and PM 10 were above the 25 ug/m3 and 50 ug/m3 level based on WHO guidelines.

U2 - 10.1109/ICONIC.2018.8601245

DO - 10.1109/ICONIC.2018.8601245

M3 - Conference contribution

BT - 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)

PB - IEEE

ER -

Towakel P, Guness S, Seeam A, Bekaroo G, Bellekens X. Air quality monitoring in Mauritius. In 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC). IEEE . 2019 https://doi.org/10.1109/ICONIC.2018.8601245