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

Supporting Institution

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

Thanks

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.

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Details

Primary Language

English

Subjects

Wastewater Treatment Processes , Water Treatment Processes , Process Control and Simulation

Journal Section

Research Article

Authors

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

Publication Date

March 3, 2025

Submission Date

November 13, 2024

Acceptance Date

December 20, 2024

Published in Issue

Year 2025 Volume: 28 Number: 1

DOI

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

IZ

https://izlik.org/JA23PD67SF

Cite

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