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Use of Machine Learning in the Function of Sustainability of Wastewater Treatment Plants (CROSBI ID 695325)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Volf, Goran Use of Machine Learning in the Function of Sustainability of Wastewater Treatment Plants // International Center for Numerical Methods in Engineering (CIMNE), 2020 / Serrat, C. ; Casas, J.R. ; Gibert, V (ur.). Barcelona, 2020. str. 1-9 doi: 10.23967/dbmc.2020.144

Podaci o odgovornosti

Volf, Goran

engleski

Use of Machine Learning in the Function of Sustainability of Wastewater Treatment Plants

Wastewater treatment plants (WWTP) are complex and dynamic systems whose management and sustainability can be improved by using different modelling and prediction approaches of their work. A machine learning tool for development of model trees was used in this paper in order to develop a model for chemical oxygen demand (COD) in the wastewater effluent from the WWTP with activated sludge to increase its sustainability and helps in its management purposes. Measured data, both in influent and effluent of the WWTP were used for modelling. For the COD model, machine learning tool Weka and algorithm for development of model trees M5P were used. Obtained model has a high descriptive power and correlation coefficient and thus can be used for prediction and modelling purposes, which can help in management and sustainability of the WWTP. Also, the purpose of this paper is to show the benefits of using machine learning tools for developing WWTP models.

Wastewater Treatment Plant ; Machine Learning ; Model Trees ; Function of Sustainability ; Management

This work has been supported by the University of Rijeka under the projects number 17.06.2.1.02 (River-Sea Interaction in the Context of Climate Change) and uniri-tehnic-18- 129 5570 (Implementation of innovative methodologies, approaches and tools for sustainable river basin management). Also, this work is part of the project Influence of summer fire on soil and water quality founded by the Croatian Science Foundation.

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Podaci o prilogu

1-9.

2020.

objavljeno

10.23967/dbmc.2020.144

Podaci o matičnoj publikaciji

International Center for Numerical Methods in Engineering (CIMNE), 2020

Serrat, C. ; Casas, J.R. ; Gibert, V

Barcelona:

978-84-121101-8-0

Podaci o skupu

15th International Conference on Durability of Building Materials and Components (DBMC 2020)

pozvano predavanje

20.10.2020-23.10.2020

Barcelona, Španjolska

Povezanost rada

Građevinarstvo

Poveznice