Cargando…

PM(2.5) concentration prediction during COVID-19 lockdown over Kolkata metropolitan city, India using MLR and ANN models

Kolkata is the third densely populated city of India and Kolkata stands in the World's 25 most polluted cities along with 10 worse polluted cities in India. The relevant study claims that due to the imposition of lockdown during COVID-19 pandemic, the atmospheric pollution level has been signif...

Descripción completa

Detalles Bibliográficos
Autores principales: Bera, Biswajit, Bhattacharjee, Sumana, Sengupta, Nairita, Saha, Soumik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040498/
https://www.ncbi.nlm.nih.gov/pubmed/37522150
http://dx.doi.org/10.1016/j.envc.2021.100155
_version_ 1784694350160068608
author Bera, Biswajit
Bhattacharjee, Sumana
Sengupta, Nairita
Saha, Soumik
author_facet Bera, Biswajit
Bhattacharjee, Sumana
Sengupta, Nairita
Saha, Soumik
author_sort Bera, Biswajit
collection PubMed
description Kolkata is the third densely populated city of India and Kolkata stands in the World's 25 most polluted cities along with 10 worse polluted cities in India. The relevant study claims that due to the imposition of lockdown during COVID-19 pandemic, the atmospheric pollution level has been significantly reduced over the metropolitan city Kolkata like other cities of the world. The main objective of this study is to predict the concentration of PM(2.5) using multiple linear regression (MLR) and artificial neural network (ANN) models and similarly, to compare the accuracy level of two models. The concentration of PM(2.5) data has been obtained from state pollution control board, Govt. of West Bengal and daily meteorological data have been collected from the world weather website. The results show that non-linear artificial neural network model is more rational compared with multiple linear regression model due to its high precision and accuracy level (in respect to RMSE, MAE and R(2)). In this research artificial neural network (ANN) model exhibited higher accuracy during the training and testing phases (root mean square error (RMSE), mean absolute error (MAE) and R(2) indicate 3.74, 1.14 and 0.91 respectively in training phase and 2.55, 4.32 and 0.69 in testing phase respectively). This model (ANN)) can be applied to predict the concentration of PM(2.5) during the execution of urban air quality management plan.
format Online
Article
Text
id pubmed-9040498
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher The Author(s). Published by Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-90404982022-04-26 PM(2.5) concentration prediction during COVID-19 lockdown over Kolkata metropolitan city, India using MLR and ANN models Bera, Biswajit Bhattacharjee, Sumana Sengupta, Nairita Saha, Soumik Environmental Challenges Article Kolkata is the third densely populated city of India and Kolkata stands in the World's 25 most polluted cities along with 10 worse polluted cities in India. The relevant study claims that due to the imposition of lockdown during COVID-19 pandemic, the atmospheric pollution level has been significantly reduced over the metropolitan city Kolkata like other cities of the world. The main objective of this study is to predict the concentration of PM(2.5) using multiple linear regression (MLR) and artificial neural network (ANN) models and similarly, to compare the accuracy level of two models. The concentration of PM(2.5) data has been obtained from state pollution control board, Govt. of West Bengal and daily meteorological data have been collected from the world weather website. The results show that non-linear artificial neural network model is more rational compared with multiple linear regression model due to its high precision and accuracy level (in respect to RMSE, MAE and R(2)). In this research artificial neural network (ANN) model exhibited higher accuracy during the training and testing phases (root mean square error (RMSE), mean absolute error (MAE) and R(2) indicate 3.74, 1.14 and 0.91 respectively in training phase and 2.55, 4.32 and 0.69 in testing phase respectively). This model (ANN)) can be applied to predict the concentration of PM(2.5) during the execution of urban air quality management plan. The Author(s). Published by Elsevier B.V. 2021-08 2021-05-24 /pmc/articles/PMC9040498/ /pubmed/37522150 http://dx.doi.org/10.1016/j.envc.2021.100155 Text en © 2021 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Bera, Biswajit
Bhattacharjee, Sumana
Sengupta, Nairita
Saha, Soumik
PM(2.5) concentration prediction during COVID-19 lockdown over Kolkata metropolitan city, India using MLR and ANN models
title PM(2.5) concentration prediction during COVID-19 lockdown over Kolkata metropolitan city, India using MLR and ANN models
title_full PM(2.5) concentration prediction during COVID-19 lockdown over Kolkata metropolitan city, India using MLR and ANN models
title_fullStr PM(2.5) concentration prediction during COVID-19 lockdown over Kolkata metropolitan city, India using MLR and ANN models
title_full_unstemmed PM(2.5) concentration prediction during COVID-19 lockdown over Kolkata metropolitan city, India using MLR and ANN models
title_short PM(2.5) concentration prediction during COVID-19 lockdown over Kolkata metropolitan city, India using MLR and ANN models
title_sort pm(2.5) concentration prediction during covid-19 lockdown over kolkata metropolitan city, india using mlr and ann models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040498/
https://www.ncbi.nlm.nih.gov/pubmed/37522150
http://dx.doi.org/10.1016/j.envc.2021.100155
work_keys_str_mv AT berabiswajit pm25concentrationpredictionduringcovid19lockdownoverkolkatametropolitancityindiausingmlrandannmodels
AT bhattacharjeesumana pm25concentrationpredictionduringcovid19lockdownoverkolkatametropolitancityindiausingmlrandannmodels
AT senguptanairita pm25concentrationpredictionduringcovid19lockdownoverkolkatametropolitancityindiausingmlrandannmodels
AT sahasoumik pm25concentrationpredictionduringcovid19lockdownoverkolkatametropolitancityindiausingmlrandannmodels