Atıksu Arıtma Tesisinin Model Tabanlı Optimizasyonu: Hakkari Örnek Çalışması

Year 2022, , 157 - 172, 10.06.2022

Ertuğrul Gül , Melek Erdek

https://doi.org/10.55007/dufed.1062215

Abstract

Kullanılmış suların çevreye olan zararlarını en aza indirmek ve kaynaklarının verimli kullanılmasını sağlamak için atıksuların arıtılması gerekmektedir. Evsel nitelikli atıksular, fiziksel, kimyasal ve biyolojik arıtma teknikleri kullanılarak arıtılmaktadır. Atıksu karakterizasyonu bakımından farklı özelliğe sahip olan evsel atıksular için mevcut proseslerin optimize edilmesi veya tesisin kurulacağı bölge koşulları dikkate alınarak uygun arıtma teknolojilerinin kullanılması önem arz etmektedir. Bu çalışmada atıksu arıtma tesisi bulunmayan ve atıksuları arıtılmadan deşarj edilen Hakkari kent merkezi için atıksu arıtma tesisinin projelendirilmesi ve GPS-X simülasyon programı kullanılarak modellemesi yapılmıştır.

Keywords

Atıksu arıtma tesisi, Matematiksel modelleme, GPS-X, Ardışık kesikli reaktör, Hakkari

Supporting Institution

Hakkari Üniversitesi Bilimsel Araştırma Projeleri Kondinatörlüğü

Project Number

FM19BAP

Model-Based Optimization of a Wastewater Treatment Plant: Hakkari Case Study

Abstract

Wastewater must be treated in order to reduce the environmental impact of used water and to ensure the efficient use of its resources. Physical, chemical, and biological treatment techniques are used to treat domestic wastewater. It's crucial to either optimize existing processes for domestic wastewater, which has different characteristics in terms of wastewater characterization, or use appropriate treatment technologies, taking into account the conditions in the region where the plant will be built. In this study, the wastewater treatment plant for the Hakkari city centre, where there is no wastewater treatment plant and wastewater is discharged without treatment, was designed and modeled using the GPS-X simulation program.

Keywords

Wastewater treatment plant, Mathematical modeling, GPS-X, Sequencing batch reactor, Hakkari

Project Number

FM19BAP

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