A GRAPHICAL USER INTERFACE DESIGN FOR FORECASTING NUTRIENT CONCENTRATIONS IN WWTP

Eda Göz

doi:10.17780/ksujes.1584253

TR EN

ATIKSU ARITIM TESİSİNDE ORGANİK MADDE ÖNGÖRÜSÜ İÇİN GRAFİKSEL ARAYÜZ GELİŞTİRİLMESİ

Öz

Atıksu yönetimi, dünya genelinde önemli bir zorluk teşkil etmektedir. Veriye dayalı modellerin entegrasyonu, arıtma tesislerinin tasarım ve işletim verimliliğini artırmıştır. Bu çalışmada, yapay sinir ağı algoritması (ANN) evsel atıksu arıtım tesisinde çıkış akımı toplam azot (TN) ve toplam fosfor (TP) parametrelerinin tahmini için zaman serisi öngörüsü yapacak şekilde modifiye edilmiştir. Bu amaçla, 6 farklı ve bağımsız TN ve TP modelleri geliştirilmiştir. Model performansı, Ortalama mutlak yüzde hatası (MAPE, %) ve Hataların Karesinin Ortalamasının Karekökü (RMSE) ile değerlendirilmiştir. Bu kriterlere göre tüm alternatif modeller benzer performans sergilemiştir. Çıkış akımı toplam azot (TN) tahmin modellerinin test fazında MAPE ve RMSE değerleri sırasıyla %12 ve 1.4 civarında elde edilmiştir. Çıkış akımı toplam fosfor (TP) için MAPE değeri yaklaşık %30, RMSE ise 0.25 olarak hesaplanmıştır. Modelleme çalışmaları tamamlandıktan sonra, bir model kullanıcı dostu bir grafik kullanıcı arayüzüne (GUI) entegre edilmiştir ve gerçek verilerle test edilmiştir. Bu, kullanıcıya tek tıklama ile sonuç alma imkânı sunmaktadır.

Anahtar Kelimeler

A GRAPHICAL USER INTERFACE DESIGN FOR FORECASTING NUTRIENT CONCENTRATIONS IN WWTP

Abstract

Wastewater management poses a global challenge. Integrating data-driven models has significantly enhanced treatment facilities' design and operational efficiency. In this study, an Artificial Neural Network (ANN) algorithm was adapted as a time-series forecasting model to predict effluent TN (Total Nitrogen) and TP (Total Phosphorus) concentrations in a real municipal wastewater treatment plant (WWTP). For this purpose, six independent TN and TP models were developed and evaluated using Mean Absolute Percentage Error (MAPE, %) and Root Mean Square Error (RMSE) metrics. Based on these criteria, all models demonstrated similar performance, with MAPE and RMSE values for TN forecasting at approximately 12% and 1.4, respectively, in the test phase. The MAPE was approximately 30% for TP forecasting, and RMSE was 0.25. Upon completing the modeling studies, one model was integrated into a user-friendly graphical user interface (GUI) and tested with actual data, allowing users to obtain results with a single click.

Keywords

Destekleyen Kurum

TÜBİTAK (The Scientific and Technological Research Council of Turkey) for financial support through the 2219 International Postdoctoral Research Fellowship Program for Turkish Citizens

Teşekkür

I would like to thank TÜBİTAK (The Scientific and Technological Research Council of Turkey) for financial support through the 2219 International Postdoctoral Research Fellowship Program for Turkish Citizens. I also acknowledge water utility in USA for providing the data and express my gratitude to my supervisor, Prof. Dr. Tanju Karanfil, for his valuable insights and encouragement.

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Atıksu Arıtma Süreçleri , Su Arıtma Süreçleri , Süreç Kontrolü ve Simülasyonu

Bölüm

Araştırma Makalesi

Yazarlar

Eda Göz ^*
0000-0002-3111-9042
Türkiye

Yayımlanma Tarihi

3 Mart 2025

Gönderilme Tarihi

13 Kasım 2024

Kabul Tarihi

20 Aralık 2024

Yayımlandığı Sayı

Yıl 2025 Cilt: 28 Sayı: 1

DOI

https://doi.org/10.17780/ksujes.1584253

IZ

https://izlik.org/JA23PD67SF

Kaynak Göster

RIS / Bibtex

APA

Göz, E. (2025). A GRAPHICAL USER INTERFACE DESIGN FOR FORECASTING NUTRIENT CONCENTRATIONS IN WWTP. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(1), 479-486. https://doi.org/10.17780/ksujes.1584253