Journals / Alphanumeric Journal / 2015 / Cilt 3, Sayı 2, 2015

Time Series Analysis And Forecasting For Air Pollution In Ankara: A Box-Jenkins Approach

Ankara'daki Hava Kirliliği İçin Zaman Serileri Analizi ve Tahmin: Box-Jenkins Yaklaşımı

Pages
131–138
Publication Date
2015-12-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

PM10 leads to many health problems including asthmaand premature death.Time series analysis was implemented to the PM10 data by using Box-Jenkins Methodology and the potential future value of PM10 was forecasted consequently in the future PM10 values will be as high as the past values in Sıhhiye, Ankara.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Despite the existing public and government measures for monitoring and controling of air quality in Ankara, in many regions, air quality is not satisfactory.
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Key Findings & Data:In this paper, PM10 data obtained from Monitoring and controlling of air quality station of Environment and Urban Ministry in Ankara-Sıhhiye.
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Conclusion & Impact:PM10 leads to many health problems including asthmaand premature death.Time series analysis was implemented to the PM10 data by using Box-Jenkins Methodology and the potential future value of PM10 was forecasted consequently in the future PM10 values will be as high as the past values in Sıhhiye, Ankara.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Despite the existing public and government measures for monitoring and controling of air quality in Ankara, in many regions, air quality is not satisfactory. In this paper, PM10 data obtained from Monitoring and controlling of air quality station of Environment and Urban Ministry in Ankara-Sıhhiye. PM10 is a mixture of solid particles and liquid droplets suspended in the atmosphere, which is an abbreviation of particulate matter. This representation contains many pollutants, such as fossil fuels, waste and secondary aerosols, dust and smoke. PM10 leads to many health problems including asthmaand premature death.Time series analysis was implemented to the PM10 data by using Box-Jenkins Methodology and the potential future value of PM10 was forecasted consequently in the future PM10 values will be as high as the past values in Sıhhiye, Ankara.

Özet

Ankara’nın pek çok semtinde hava kalitesi kontrol ve ölçüm istasyonları olmasına ve hava kalitesi ölçümüyle ilgili çalışmalar yapılmasına rağmen, hava kalitesi istenilen seviyelerde değildir. Bu çalışmada,Çevre ve Şehircilik Bakanlığının Ankara-Sıhhiye’deki hava kalitesi ölçüm istasyonundan alınan PM10 hava kirleticisine ait veriler incelenmiştir. PM10, atmosferde asılı duran katı partiküllerin ve sıvı damlacıkların bir karışımı olan partiküler maddenin kısaltmasıdır. Toz, duman, fosil yakıt artığı ve ikincil aerosoller gibi pek çok kirleticiyi içeren bu gösterim, astım ve erken ölümü de içeren pek çok sağlık sorununa neden olmaktadır. Bu PM10 verilerine Box-Jenkins Metodolojisi uygulanarak zaman serileri analizi yapılmış ve PM10 kirleticisinin gelecekte alacağı değerler tahmin edilmiştir. Gelecekte de PM10 hava kirleticisi değerinin Sıhhiye-Ankara’da yüksek olacağı sonucuna ulaşılmıştır.

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Cite This Article

TEMİZ, İ., TURGUT, D. (2015). Time Series Analysis And Forecasting For Air Pollution In Ankara: A Box-Jenkins Approach. Alphanumeric Journal, Cilt 3, Sayı 2, 2015, 131–138. https://ajindex.com/articles/63620

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