Air Quality Index prediction using machine learning for Ahmedabad city

Prediction of air pollution index may help in traffic routing and identifying serious pollutants. Modeling of the complex relationships between these variables by sophisticated methods in machine learning is a promising field. The objective of this work is to compare the various machine learning met...

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Main Authors: Nilesh N. Maltare, Safvan Vahora
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Digital Chemical Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S277250812300011X
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author Nilesh N. Maltare
Safvan Vahora
author_facet Nilesh N. Maltare
Safvan Vahora
author_sort Nilesh N. Maltare
collection DOAJ
description Prediction of air pollution index may help in traffic routing and identifying serious pollutants. Modeling of the complex relationships between these variables by sophisticated methods in machine learning is a promising field. The objective of this work is to compare the various machine learning methods such as SARIMA, SVM and LSTM for the prediction of air quality index for Ahmedabad city of Gujarat, India. In this research, different preprocessing methods are used to manage the data before providing to the machine learning models. This study is carried out based on the data provided by the Central Pollution Control Board of India and it focuses on the support vector machine algorithm with RBF kernel model. So, that the results availed are comparatively better as compared to other kernels of the support vector machine models as well as SARIMA and LSTM models for Ahmedabad city.
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spelling doaj.art-6bde3345ece44f728d729023ec0a5b6f2023-05-23T04:22:24ZengElsevierDigital Chemical Engineering2772-50812023-06-017100093Air Quality Index prediction using machine learning for Ahmedabad cityNilesh N. Maltare0Safvan Vahora1Government Engineering College, Modasa, 383315, Gujarat, IndiaCorresponding author.; Government Engineering College, Modasa, 383315, Gujarat, IndiaPrediction of air pollution index may help in traffic routing and identifying serious pollutants. Modeling of the complex relationships between these variables by sophisticated methods in machine learning is a promising field. The objective of this work is to compare the various machine learning methods such as SARIMA, SVM and LSTM for the prediction of air quality index for Ahmedabad city of Gujarat, India. In this research, different preprocessing methods are used to manage the data before providing to the machine learning models. This study is carried out based on the data provided by the Central Pollution Control Board of India and it focuses on the support vector machine algorithm with RBF kernel model. So, that the results availed are comparatively better as compared to other kernels of the support vector machine models as well as SARIMA and LSTM models for Ahmedabad city.http://www.sciencedirect.com/science/article/pii/S277250812300011XAir Quality IndexPollutionMachine learningSupport Vector MachineLSTMSARIMA
spellingShingle Nilesh N. Maltare
Safvan Vahora
Air Quality Index prediction using machine learning for Ahmedabad city
Digital Chemical Engineering
Air Quality Index
Pollution
Machine learning
Support Vector Machine
LSTM
SARIMA
title Air Quality Index prediction using machine learning for Ahmedabad city
title_full Air Quality Index prediction using machine learning for Ahmedabad city
title_fullStr Air Quality Index prediction using machine learning for Ahmedabad city
title_full_unstemmed Air Quality Index prediction using machine learning for Ahmedabad city
title_short Air Quality Index prediction using machine learning for Ahmedabad city
title_sort air quality index prediction using machine learning for ahmedabad city
topic Air Quality Index
Pollution
Machine learning
Support Vector Machine
LSTM
SARIMA
url http://www.sciencedirect.com/science/article/pii/S277250812300011X
work_keys_str_mv AT nileshnmaltare airqualityindexpredictionusingmachinelearningforahmedabadcity
AT safvanvahora airqualityindexpredictionusingmachinelearningforahmedabadcity