Year 2020, Volume 25 , Issue 3, Pages 1547 - 1556 2020-12-31

AIR POLUTION PREDICTION WITH WAVELET K-NEAREST NEIGHBOUR METHOD
DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ

Abdüsselam ALTUNKAYNAK [1] , Eyyup Ensar BAŞAKIN [2] , Elif KARTAL [3]


In the last decades, the use of fossil fuels has become widespread with the increasing human population. The concentration of harmful substances released into the atmosphere as a result of the burning of fossil fuels, which have widely used for energy production, transportation, and heating. The burning of fossil fuels can reach levels that threaten human health in both urban and rural areas. It has great importance to estimate emission to take measures to protect local air quality and to minimize the damage of pollutants. The current study aims to predict the future concentration values of PM10 and SO2, which are important pollutants, by using available daily records. A predictive model is implemented for Erzincan city by using a total 651 data points observed for period from 2016 through 2018. In the modeling process, data are divided into two groups; 400 the data points are utilized for training and the remaining 251 data points are used for verification. The wavelet transform technique is combined with the K-Nearest Neighbor (KNN) method to develop a predictive model called as Wavelet- KNN approach for increasing the modeling success. In the present study, the wavelet-KNN approach is provided better prediction results compared to stand-alone KNN method. It is noted that the combination of wavelet with KNN tool is enhanced the prediction performance of model. This study shows that the KNN method is one of the simplest machine learning methods and can be used for prediction of air pollution models.
Son yıllarda artan insan nüfusu ile fosil yakıt kullanımı yaygınlaşmıştır. Enerji üretimi, ulaşım, ısınma gibi birçok kullanım alanına sahip fosil yakıtların yanması sonucunda atmosfere salınan zararlı maddelerin yoğunluğu hem kentsel hem de kırsal bölgelerde insan sağlığını tehdit edecek seviyelere ulaşabilmektedir. Lokal hava kalitesini muhafaza edecek önlemler almak ve kirleticilerin zararlarını en aza indirebilmek için ileriye yönelik emisyon tahminlerinde bulunmak büyük önem arz etmektedir. Çalışmamızda yanma sonucunda açığa çıkan önemli kirleticilerden PM10 ve SO2 maddelerinin mevcut günlük kayıtları kullanarak gelecekte olması muhtemel değerleri tahmin edilmeye çalışılmıştır. Erzincan ilinde 2016-2018 yılları arasında ölçülmüş toplam 651 adet veri kullanılarak bir model oluşturulmuştur. Model oluşturma aşamasında verilerin ilk 400 adeti eğitim, geriye kalan 251 adet veri doğrulama olmak üzere ikiye ayrılmıştır. Modeller K-En Yakın Komşuluk (KNN) algoritması kullanılarak kurulmuş ve modelleme başarısını arttırmak adına önişlem süreçlerinden biri olan dalgacık dönüşüm tekniği uygulanmıştır. Dalgacık dönüşümü ile oluşturulan modellerin, tahmin başarısını büyük derecede iyileştirdiği gözlemlenmiştir. Bu çalışma uygulaması basit makine öğrenmesi yöntemlerinden olan KNN’nin hava kirliliği tahmin modellerinde kullanılabileceğini kanıtlamıştır.
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Primary Language tr
Subjects Environmental Engineering
Journal Section Research Articles
Authors

Orcid: 0000-0001-7134-1820
Author: Abdüsselam ALTUNKAYNAK
Institution: ISTANBUL TECHNICAL UNIVERSITY
Country: Turkey


Orcid: 0000-0002-9045-5302
Author: Eyyup Ensar BAŞAKIN
Institution: ISTANBUL TECHNICAL UNIVERSITY
Country: Turkey


Orcid: 0000-0003-0877-8776
Author: Elif KARTAL (Primary Author)
Institution: ISTANBUL TECHNICAL UNIVERSITY
Country: Turkey


Dates

Application Date : October 14, 2020
Acceptance Date : December 17, 2020
Publication Date : December 31, 2020

Bibtex @research article { uumfd809938, journal = {Uludağ University Journal of The Faculty of Engineering}, issn = {2148-4147}, eissn = {2148-4155}, address = {}, publisher = {Bursa Uludağ University}, year = {2020}, volume = {25}, pages = {1547 - 1556}, doi = {10.17482/uumfd.809938}, title = {DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ}, key = {cite}, author = {Altunkaynak, Abdüsselam and Başakın, Eyyup Ensar and Kartal, Elif} }
APA Altunkaynak, A , Başakın, E , Kartal, E . (2020). DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ . Uludağ University Journal of The Faculty of Engineering , 25 (3) , 1547-1556 . DOI: 10.17482/uumfd.809938
MLA Altunkaynak, A , Başakın, E , Kartal, E . "DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ" . Uludağ University Journal of The Faculty of Engineering 25 (2020 ): 1547-1556 <https://dergipark.org.tr/en/pub/uumfd/issue/57911/809938>
Chicago Altunkaynak, A , Başakın, E , Kartal, E . "DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ". Uludağ University Journal of The Faculty of Engineering 25 (2020 ): 1547-1556
RIS TY - JOUR T1 - DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ AU - Abdüsselam Altunkaynak , Eyyup Ensar Başakın , Elif Kartal Y1 - 2020 PY - 2020 N1 - doi: 10.17482/uumfd.809938 DO - 10.17482/uumfd.809938 T2 - Uludağ University Journal of The Faculty of Engineering JF - Journal JO - JOR SP - 1547 EP - 1556 VL - 25 IS - 3 SN - 2148-4147-2148-4155 M3 - doi: 10.17482/uumfd.809938 UR - https://doi.org/10.17482/uumfd.809938 Y2 - 2020 ER -
EndNote %0 Uludağ University Journal of The Faculty of Engineering DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ %A Abdüsselam Altunkaynak , Eyyup Ensar Başakın , Elif Kartal %T DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ %D 2020 %J Uludağ University Journal of The Faculty of Engineering %P 2148-4147-2148-4155 %V 25 %N 3 %R doi: 10.17482/uumfd.809938 %U 10.17482/uumfd.809938
ISNAD Altunkaynak, Abdüsselam , Başakın, Eyyup Ensar , Kartal, Elif . "DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ". Uludağ University Journal of The Faculty of Engineering 25 / 3 (December 2020): 1547-1556 . https://doi.org/10.17482/uumfd.809938
AMA Altunkaynak A , Başakın E , Kartal E . DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ. UUJFE. 2020; 25(3): 1547-1556.
Vancouver Altunkaynak A , Başakın E , Kartal E . DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ. Uludağ University Journal of The Faculty of Engineering. 2020; 25(3): 1547-1556.
IEEE A. Altunkaynak , E. Başakın and E. Kartal , "DALGACIK K-EN YAKIN KOMŞULUK YÖNTEMİ İLE HAVA KİRLİLİĞİ TAHMİNİ", Uludağ University Journal of The Faculty of Engineering, vol. 25, no. 3, pp. 1547-1556, Dec. 2021, doi:10.17482/uumfd.809938