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ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ

Yıl 2021, Cilt: 26 Sayı: 1, 233 - 252, 30.04.2021
https://doi.org/10.17482/uumfd.813911

Öz

Çevreye ve insan sağlığına olumsuz etkileri olan polisiklik aromatik hidrokarbonların (PAH'ların) atıksu arıtma çamurlarından gideriminde kullanılan yöntemlerden biri UV-C (ultraviyole-C) ışığı ve fotokatalizörler varlığında gerçekleştirilen fotoparçalanma uygulamalarıdır. PAH gideriminin sağlanıp sağlanmadığı, gerçekleştirilen deneylerden sonra ortaya çıkar ve bu durum zaman ve maliyeti arttırır. Alternatif olarak veri madenciliği sınıflandırma yöntemleri ile deney girdi koşullarına göre PAH'ların giderimi tahmin edilebilir, böylece zaman ve maliyet tasarrufu sağlanabilir. Bu sayede, arıtma çamurlarındaki başlangıç PAH konsantrasyonları esas alınarak UV teknolojilerinin kullanımı kararı daha az maliyet ve çabayla verilebilir. Çalışmanın ilk aşamasında 12 PAH türünü içeren 4 farklı özellikteki arıtma çamurunda UV uygulamaları gerçekleştirilerek PAH giderimleri belirlenmiş, sonrasında ilk aşamadaki sonuçlar veri kümelerinde kullanılarak başlangıç PAH seviyelerine göre PAH'ların giderimleri tahmin edilmiştir. Çok katmanlı algılayıcı (ÇKA) ağı, k-en yakın komşu (k-NN), C4.5 karar ağacı (C4.5), rastgele orman (RO) ve torbalama yöntemleri gibi çeşitli sınıflandırma yöntemleri giderim tahmini için kullanılmıştır. Performans karşılaştırmaları için kesinlik+ , duyarlılık, belirleyicilik, %doğruluk, AUC (Alıcı işlem karakteristikleri eğrisi) ve F-ölçütü esas alınmıştır. Ortalama doğruluk parametresine göre en başarılı üç yöntem sırasıyla RO (%95,730), k-NN (%95,588) ve ÇKA (%91.275) yöntemleridir. Azınlık sınıfı tahmininde ise ortalama AUC göz önüne alındığında RO (0,974), k-NN (0,944) ve Torbalama (0.939) yöntemleri diğer yöntemlerden daha iyi performans göstermiştir.

Kaynakça

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Prediction of Polycyclic Aromatic Hydrocarbons (PAHs) Removal in Wastewater Treatment Sludge with Data Mining Methods

Yıl 2021, Cilt: 26 Sayı: 1, 233 - 252, 30.04.2021
https://doi.org/10.17482/uumfd.813911

Öz

One of the methods used in the removal of polycyclic aromatic hydrocarbons (PAHs), which are known to have negative effects on the environment and human health, from wastewater treatment sludge, is photodegradation applications performed with UV-C (ultraviolet-C) light and photocatalysts. However, the PAH removal is revealed after the experiments performed and this increases the time and cost. Alternatively, with the data mining classification methods, the removal of PAHs can be estimated before the experiments are carried out; hence, the application of UV technologies is decided with less cost and effort. In this study, UV applications were performed on 4 types of treatment sludge containing 12 PAH types, and PAH removals were determined. Then the removal of PAHs was estimated regarding the initial PAH levels. Multi-layer perceptron (MLP) network, k-nearest neighbor (k-NN), C4.5 decision tree (C4.5), random forest (RF), and bagging were performed for the removal prediction. Precision+ , recall, specificity, accuracy%, AUC (Area Under the ROC Curve), and F-measure were used for performance comparisons. Regarding the average accuracy, the three most successful methods are RO (95.730%), k-NN (95.588%) and MCA (91.275%), respectively. Considering the average AUC, RO (0.974), k-NN (0.944) and Bagging (0.939) methods performed better than other methods.

Kaynakça

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  • Ballesteros-Gómez, A., Caballero-Casero, N., García-Fonseca, S., Lunar, L. ve Rubio, S. (2019) Multifunctional vesicular coacervates as engineered supramolecular solvents for wastewater treatment, Chemosphere, 223, 569–576. https://doi.org/10.1016/j.chemosphere.2019.02.089.
  • Bhagat, S. K., Tung, T. M. ve Yaseen, Z. M. (2020) Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research, Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2019.119473.
  • Blanchard, M., Teil, M. J., Ollivon, D., Legenti, L. ve Chevreuil, M. (2004) Polycyclic aromatic hydrocarbons and polychlorobiphenyls in wastewaters and sewage sludges from the Paris area (France), Environmental Research, 95(2), 184–197. https://doi.org/10.1016/j.envres.2003.07.003.
  • Boztoprak, H., Özbay, Y., Güçlü, D., ve Küçükhemek, M. (2016) Prediction of sludge volume index bulking using image analysis and neural network at a full-scale activated sludge plant, Desalination and Water Treatment, 57(37), 17195–17205. https://doi.org/10.1080/19443994.2015.1085909.
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  • Bunkhumpornpat, C., Sinapiromsaran, K. ve Lursinsap, C. (2009) Safe-level-SMOTE: Safe-level-synthetic minority over-sampling technique for handling the class imbalanced problem, Lecture Notes in Computer Science, 475–482. https://doi.org/10.1007/978-3-642-01307-2_43.
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Toplam 73 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Çevre Mühendisliği, Endüstri Mühendisliği
Bölüm Araştırma Makaleleri
Yazarlar

Burcu Çağlar Gençosman 0000-0003-0159-8529

Gizem Eker Şanlı 0000-0002-7175-2942

Yayımlanma Tarihi 30 Nisan 2021
Gönderilme Tarihi 21 Ekim 2020
Kabul Tarihi 10 Ocak 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 26 Sayı: 1

Kaynak Göster

APA Çağlar Gençosman, B., & Eker Şanlı, G. (2021). ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, 26(1), 233-252. https://doi.org/10.17482/uumfd.813911
AMA Çağlar Gençosman B, Eker Şanlı G. ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ. UUJFE. Nisan 2021;26(1):233-252. doi:10.17482/uumfd.813911
Chicago Çağlar Gençosman, Burcu, ve Gizem Eker Şanlı. “ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 26, sy. 1 (Nisan 2021): 233-52. https://doi.org/10.17482/uumfd.813911.
EndNote Çağlar Gençosman B, Eker Şanlı G (01 Nisan 2021) ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 26 1 233–252.
IEEE B. Çağlar Gençosman ve G. Eker Şanlı, “ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ”, UUJFE, c. 26, sy. 1, ss. 233–252, 2021, doi: 10.17482/uumfd.813911.
ISNAD Çağlar Gençosman, Burcu - Eker Şanlı, Gizem. “ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 26/1 (Nisan 2021), 233-252. https://doi.org/10.17482/uumfd.813911.
JAMA Çağlar Gençosman B, Eker Şanlı G. ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ. UUJFE. 2021;26:233–252.
MLA Çağlar Gençosman, Burcu ve Gizem Eker Şanlı. “ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, c. 26, sy. 1, 2021, ss. 233-52, doi:10.17482/uumfd.813911.
Vancouver Çağlar Gençosman B, Eker Şanlı G. ARITMA ÇAMURLARINDA POLİSİKLİK AROMATİK HİDROKARBONLARIN (PAH’LARIN) GİDERİMLERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE TAHMİNİ. UUJFE. 2021;26(1):233-52.

DUYURU:

30.03.2021- Nisan 2021 (26/1) sayımızdan itibaren TR-Dizin yeni kuralları gereği, dergimizde basılacak makalelerde, ilk gönderim aşamasında Telif Hakkı Formu yanısıra, Çıkar Çatışması Bildirim Formu ve Yazar Katkısı Bildirim Formu da tüm yazarlarca imzalanarak gönderilmelidir. Yayınlanacak makalelerde de makale metni içinde "Çıkar Çatışması" ve "Yazar Katkısı" bölümleri yer alacaktır. İlk gönderim aşamasında doldurulması gereken yeni formlara "Yazım Kuralları" ve "Makale Gönderim Süreci" sayfalarımızdan ulaşılabilir. (Değerlendirme süreci bu tarihten önce tamamlanıp basımı bekleyen makalelerin yanısıra değerlendirme süreci devam eden makaleler için, yazarlar tarafından ilgili formlar doldurularak sisteme yüklenmelidir).  Makale şablonları da, bu değişiklik doğrultusunda güncellenmiştir. Tüm yazarlarımıza önemle duyurulur.

Bursa Uludağ Üniversitesi, Mühendislik Fakültesi Dekanlığı, Görükle Kampüsü, Nilüfer, 16059 Bursa. Tel: (224) 294 1907, Faks: (224) 294 1903, e-posta: mmfd@uludag.edu.tr