A Random Forest Model for the Prediction of FOG Content in Inlet Wastewater from Urban WWTPs

The content of fats, oils, and greases (FOG) in wastewater, as a result of food preparation, both in homes and in different commercial and industrial activities, is a growing problem. In addition to the blockages generated in the sanitary networks, it also represents a difficulty for the performance...

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Veröffentlicht in:	Water (Basel) 2021-05, Vol.13 (9), p.1237
Hauptverfasser:	Mateo Pérez, Vanesa, Mesa Fernández, José Manuel, Villanueva Balsera, Joaquín, Alonso Álvarez, Cristina
Format:	Artikel
Sprache:	eng
Schlagworte:	Data mining Fatty acids Forest management Gravity Greases Industrial areas Learning algorithms Machine learning Maintenance costs Oils & fats Optimization Prediction models Pretreatment Production capacity Wastewater Wastewater treatment Wastewater treatment plants Water treatment
Online-Zugang:	Volltext
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