دورية أكاديمية

Prediction of the air quality index of Hefei based on an improved ARIMA model

التفاصيل البيبلوغرافية
العنوان: Prediction of the air quality index of Hefei based on an improved ARIMA model
المؤلفون: Jia-Bao Liu, Xi-Yu Yuan
المصدر: AIMS Mathematics, Vol 8, Iss 8, Pp 18717-18733 (2023)
بيانات النشر: AIMS Press, 2023.
سنة النشر: 2023
المجموعة: LCC:Mathematics
مصطلحات موضوعية: air quality index, univariate regression, prediction model, x-12-arima, Mathematics, QA1-939
الوصف: With the rapid development of the economy, the air quality is facing increasingly severe pollution challenges. The air quality is related to public health and the sustainable development of the environment of China. In this paper, we first investigate the changes in the monthly air quality index data of Hefei from 2014 to 2020. Second, we analyze whether the Spring Festival factors lead to the deterioration of the air quality index according to the time sequence. Third, we construct an improved model to predict the air quality index of Hefei. There are three primary discoveries: (1) The air quality index of Hefei has obvious periodicity and a trend of descent. (2) The influencing factors of Spring Festival have no significant effect on the air quality index series. (3) The air quality index of Hefei will maintain a fluctuating and descending trend for a period of time. Finally, some recommendations for the air quality management policy in Hefei are presented based on the obtained results.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2473-6988
Relation: https://doaj.org/toc/2473-6988
DOI: 10.3934/math.2023953?viewType=HTML
DOI: 10.3934/math.2023953
URL الوصول: https://doaj.org/article/18c8961212264f2e9d3f68a890884d43
رقم الأكسشن: edsdoj.18c8961212264f2e9d3f68a890884d43
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24736988
DOI:10.3934/math.2023953?viewType=HTML