LOW-COST METHODS TO PARTICULATE MATTER PRELIMINARY STUDY IN THECENTER-NORTH OF BUENOS AIRES SUBURBS

Air quality is one of the biggest environmental problems today, and airborne particles are a well-studied indicator given their impacts on health and climate. The cost of regulatory measurement equipment leads to limited information availability in many parts of the world, as in Argentina. This work...

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Main Authors: A. F. Scagliotti, G. A. Jorge
Format: Article
Language:Spanish
Published: CEILAP-UNIDEF-CONICET-CITEDEF 2022-04-01
Series:Anales (Asociación Física Argentina)
Subjects:
Online Access:https://anales.fisica.org.ar/index.php/analesafa/article/view/2311/2744
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author A. F. Scagliotti
G. A. Jorge
author_facet A. F. Scagliotti
G. A. Jorge
author_sort A. F. Scagliotti
collection DOAJ
description Air quality is one of the biggest environmental problems today, and airborne particles are a well-studied indicator given their impacts on health and climate. The cost of regulatory measurement equipment leads to limited information availability in many parts of the world, as in Argentina. This work proposes modeling of particulate matter from Artificial Neural Networks, fed with data from low-cost equipment developed and used for this purpose. In this way, a study of air quality in the Center-North of the Buenos Aires suburbs is presented, providing new information on quantities and types of particles in a region without historical antecedents. Coarse particles were mostly found at low concentrations and a prediction model for particulate matter with good performance was developed.
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spelling doaj.art-d03868749d924d6f84d2450bd37d0bee2023-08-22T03:48:21ZspaCEILAP-UNIDEF-CONICET-CITEDEFAnales (Asociación Física Argentina)0327-358X1850-11682022-04-013311823https://doi.org/10.31527/analesafa.2022.33.1.18LOW-COST METHODS TO PARTICULATE MATTER PRELIMINARY STUDY IN THECENTER-NORTH OF BUENOS AIRES SUBURBSA. F. Scagliotti0G. A. Jorge1Instituto de Ciencias - Universidad Nacional de General Sarmiento - CONICET,J. M. Gutierrez 1150 - (1613) Buenos Aires - ArgentinaInstituto de Ciencias - Universidad Nacional de General Sarmiento - CONICET,J. M. Gutierrez 1150 - (1613) Buenos Aires - ArgentinaAir quality is one of the biggest environmental problems today, and airborne particles are a well-studied indicator given their impacts on health and climate. The cost of regulatory measurement equipment leads to limited information availability in many parts of the world, as in Argentina. This work proposes modeling of particulate matter from Artificial Neural Networks, fed with data from low-cost equipment developed and used for this purpose. In this way, a study of air quality in the Center-North of the Buenos Aires suburbs is presented, providing new information on quantities and types of particles in a region without historical antecedents. Coarse particles were mostly found at low concentrations and a prediction model for particulate matter with good performance was developed.https://anales.fisica.org.ar/index.php/analesafa/article/view/2311/2744air qualitylow cost measurementsneural networks
spellingShingle A. F. Scagliotti
G. A. Jorge
LOW-COST METHODS TO PARTICULATE MATTER PRELIMINARY STUDY IN THECENTER-NORTH OF BUENOS AIRES SUBURBS
Anales (Asociación Física Argentina)
air quality
low cost measurements
neural networks
title LOW-COST METHODS TO PARTICULATE MATTER PRELIMINARY STUDY IN THECENTER-NORTH OF BUENOS AIRES SUBURBS
title_full LOW-COST METHODS TO PARTICULATE MATTER PRELIMINARY STUDY IN THECENTER-NORTH OF BUENOS AIRES SUBURBS
title_fullStr LOW-COST METHODS TO PARTICULATE MATTER PRELIMINARY STUDY IN THECENTER-NORTH OF BUENOS AIRES SUBURBS
title_full_unstemmed LOW-COST METHODS TO PARTICULATE MATTER PRELIMINARY STUDY IN THECENTER-NORTH OF BUENOS AIRES SUBURBS
title_short LOW-COST METHODS TO PARTICULATE MATTER PRELIMINARY STUDY IN THECENTER-NORTH OF BUENOS AIRES SUBURBS
title_sort low cost methods to particulate matter preliminary study in thecenter north of buenos aires suburbs
topic air quality
low cost measurements
neural networks
url https://anales.fisica.org.ar/index.php/analesafa/article/view/2311/2744
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