A Modified <i>γ</i>-Sutte Indicator for Air Quality Index Prediction

Air pollution has become an essential issue in environmental protection. The Air Quality Index (AQI) is often used to determine the severity of air pollution. When the AQI reaches the red level, the proportion of asthma patients seeking medical treatment will increase by 30% more than usual. If the...

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Main Authors: Dong-Her Shih, To Thi Hien, Ly Sy Phu Nguyen, Ting-Wei Wu, Yen-Ting Lai
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/17/3060
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author Dong-Her Shih
To Thi Hien
Ly Sy Phu Nguyen
Ting-Wei Wu
Yen-Ting Lai
author_facet Dong-Her Shih
To Thi Hien
Ly Sy Phu Nguyen
Ting-Wei Wu
Yen-Ting Lai
author_sort Dong-Her Shih
collection DOAJ
description Air pollution has become an essential issue in environmental protection. The Air Quality Index (AQI) is often used to determine the severity of air pollution. When the AQI reaches the red level, the proportion of asthma patients seeking medical treatment will increase by 30% more than usual. If the AQI can be predicted in advance, the benefits of early warning can be achieved. In recent years, a scholar has proposed an <i>α</i>-Sutte indicator which shows its excellence in time series prediction. However, the calculation of <i>α</i>-Sutte indicators uses a fixed weight. Thus, a <i>β</i>-Sutte indicator, using a dynamic weight with a high computation cost, has appeared. However, the computational complexity and sliding window required of the <i>β</i>-Sutte indicator are still high compared to the <i>α</i>-Sutte indicator. In this study, a modified <i>γ</i>-Sutte indicator, using a dynamic weight with a lower computational cost than the <i>β</i>-Sutte indicator, is proposed. In order to prove that the proposed <i>γ</i>-Sutte indicator has good generalization ability and is transferable, this study uses data from different regions and periods to predict the AQI. The results showed that the prediction accuracy of the <i>γ</i>-Sutte indicator proposed was better than other methods.
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spelling doaj.art-26b47d7578214cb482e278898288cc4e2023-11-23T13:37:39ZengMDPI AGMathematics2227-73902022-08-011017306010.3390/math10173060A Modified <i>γ</i>-Sutte Indicator for Air Quality Index PredictionDong-Her Shih0To Thi Hien1Ly Sy Phu Nguyen2Ting-Wei Wu3Yen-Ting Lai4Department of Information Management, National Yunlin University of Science and Technology, Douliu 64002, TaiwanFaculty of Environment, University of Science, 227 Nguyen Van Cu Street, District 5, Ho Chi Minh City 700000, VietnamFaculty of Environment, University of Science, 227 Nguyen Van Cu Street, District 5, Ho Chi Minh City 700000, VietnamDepartment of Information Management, National Yunlin University of Science and Technology, Douliu 64002, TaiwanDepartment of Information Management, National Yunlin University of Science and Technology, Douliu 64002, TaiwanAir pollution has become an essential issue in environmental protection. The Air Quality Index (AQI) is often used to determine the severity of air pollution. When the AQI reaches the red level, the proportion of asthma patients seeking medical treatment will increase by 30% more than usual. If the AQI can be predicted in advance, the benefits of early warning can be achieved. In recent years, a scholar has proposed an <i>α</i>-Sutte indicator which shows its excellence in time series prediction. However, the calculation of <i>α</i>-Sutte indicators uses a fixed weight. Thus, a <i>β</i>-Sutte indicator, using a dynamic weight with a high computation cost, has appeared. However, the computational complexity and sliding window required of the <i>β</i>-Sutte indicator are still high compared to the <i>α</i>-Sutte indicator. In this study, a modified <i>γ</i>-Sutte indicator, using a dynamic weight with a lower computational cost than the <i>β</i>-Sutte indicator, is proposed. In order to prove that the proposed <i>γ</i>-Sutte indicator has good generalization ability and is transferable, this study uses data from different regions and periods to predict the AQI. The results showed that the prediction accuracy of the <i>γ</i>-Sutte indicator proposed was better than other methods.https://www.mdpi.com/2227-7390/10/17/3060Air Quality Index<i>α</i>-Sutte indicator<i>γ</i>-Sutte indicatorensemble modelpredictiontime series
spellingShingle Dong-Her Shih
To Thi Hien
Ly Sy Phu Nguyen
Ting-Wei Wu
Yen-Ting Lai
A Modified <i>γ</i>-Sutte Indicator for Air Quality Index Prediction
Mathematics
Air Quality Index
<i>α</i>-Sutte indicator
<i>γ</i>-Sutte indicator
ensemble model
prediction
time series
title A Modified <i>γ</i>-Sutte Indicator for Air Quality Index Prediction
title_full A Modified <i>γ</i>-Sutte Indicator for Air Quality Index Prediction
title_fullStr A Modified <i>γ</i>-Sutte Indicator for Air Quality Index Prediction
title_full_unstemmed A Modified <i>γ</i>-Sutte Indicator for Air Quality Index Prediction
title_short A Modified <i>γ</i>-Sutte Indicator for Air Quality Index Prediction
title_sort modified i γ i sutte indicator for air quality index prediction
topic Air Quality Index
<i>α</i>-Sutte indicator
<i>γ</i>-Sutte indicator
ensemble model
prediction
time series
url https://www.mdpi.com/2227-7390/10/17/3060
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