Pollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities

Air pollution has become the most important issue concerning human evolution in the last century, as the levels of toxic gases and particles present in the air create health problems and affect the ecosystems of the planet. Scientists and environmental organizations have been looking for new ways to...

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Autores principales:	Cicerone Laurentiu Popa, Tiberiu Gabriel Dobrescu, Catalin-Ionut Silvestru, Alexandru-Cristian Firulescu, Constantin Adrian Popescu, Costel Emil Cotet
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	pollution sensors machine learning smart city Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/fd657a048da54a688e4cec6f052562d5
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spelling	oai:doaj.org-article:fd657a048da54a688e4cec6f052562d52021-11-11T19:16:28ZPollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities10.3390/s212173291424-8220https://doaj.org/article/fd657a048da54a688e4cec6f052562d52021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7329https://doaj.org/toc/1424-8220Air pollution has become the most important issue concerning human evolution in the last century, as the levels of toxic gases and particles present in the air create health problems and affect the ecosystems of the planet. Scientists and environmental organizations have been looking for new ways to combat and control the air pollution, developing new solutions as technologies evolves. In the last decade, devices able to observe and maintain pollution levels have become more accessible and less expensive, and with the appearance of the Internet of Things (IoT), new approaches for combating pollution were born. The focus of the research presented in this paper was predicting behaviours regarding the air quality index using machine learning. Data were collected from one of the six atmospheric stations set in relevant areas of Bucharest, Romania, to validate our model. Several algorithms were proposed to study the evolution of temperature depending on the level of pollution and on several pollution factors. In the end, the results generated by the algorithms are presented considering the types of pollutants for two distinct periods. Prediction errors were highlighted by the RMSE (Root Mean Square Error) for each of the three machine learning algorithms used.Cicerone Laurentiu PopaTiberiu Gabriel DobrescuCatalin-Ionut SilvestruAlexandru-Cristian FirulescuConstantin Adrian PopescuCostel Emil CotetMDPI AGarticlepollutionsensorsmachine learningsmart cityChemical technologyTP1-1185ENSensors, Vol 21, Iss 7329, p 7329 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	pollution sensors machine learning smart city Chemical technology TP1-1185
spellingShingle	pollution sensors machine learning smart city Chemical technology TP1-1185 Cicerone Laurentiu Popa Tiberiu Gabriel Dobrescu Catalin-Ionut Silvestru Alexandru-Cristian Firulescu Constantin Adrian Popescu Costel Emil Cotet Pollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities
description	Air pollution has become the most important issue concerning human evolution in the last century, as the levels of toxic gases and particles present in the air create health problems and affect the ecosystems of the planet. Scientists and environmental organizations have been looking for new ways to combat and control the air pollution, developing new solutions as technologies evolves. In the last decade, devices able to observe and maintain pollution levels have become more accessible and less expensive, and with the appearance of the Internet of Things (IoT), new approaches for combating pollution were born. The focus of the research presented in this paper was predicting behaviours regarding the air quality index using machine learning. Data were collected from one of the six atmospheric stations set in relevant areas of Bucharest, Romania, to validate our model. Several algorithms were proposed to study the evolution of temperature depending on the level of pollution and on several pollution factors. In the end, the results generated by the algorithms are presented considering the types of pollutants for two distinct periods. Prediction errors were highlighted by the RMSE (Root Mean Square Error) for each of the three machine learning algorithms used.
format	article
author	Cicerone Laurentiu Popa Tiberiu Gabriel Dobrescu Catalin-Ionut Silvestru Alexandru-Cristian Firulescu Constantin Adrian Popescu Costel Emil Cotet
author_facet	Cicerone Laurentiu Popa Tiberiu Gabriel Dobrescu Catalin-Ionut Silvestru Alexandru-Cristian Firulescu Constantin Adrian Popescu Costel Emil Cotet
author_sort	Cicerone Laurentiu Popa
title	Pollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities
title_short	Pollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities
title_full	Pollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities
title_fullStr	Pollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities
title_full_unstemmed	Pollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities
title_sort	pollution and weather reports: using machine learning for combating pollution in big cities
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fd657a048da54a688e4cec6f052562d5
work_keys_str_mv	AT ciceronelaurentiupopa pollutionandweatherreportsusingmachinelearningforcombatingpollutioninbigcities AT tiberiugabrieldobrescu pollutionandweatherreportsusingmachinelearningforcombatingpollutioninbigcities AT catalinionutsilvestru pollutionandweatherreportsusingmachinelearningforcombatingpollutioninbigcities AT alexandrucristianfirulescu pollutionandweatherreportsusingmachinelearningforcombatingpollutioninbigcities AT constantinadrianpopescu pollutionandweatherreportsusingmachinelearningforcombatingpollutioninbigcities AT costelemilcotet pollutionandweatherreportsusingmachinelearningforcombatingpollutioninbigcities
_version_	1718431623918125056

Pollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities

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