Sanitation network sulfide modeling as a tool for asset management. The case of the city of Murcia (Spain)
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García Bermejo, Juan Tomás; García Guerrero, Juan Manuel; Carrillo Sánchez, José María; Sordo Ward, Álvaro Francisco; Altarejos García, Luis; [et al.]Grupo de investigación
Grupo de Ingeniería Hidráulica, Marítima y Medioambiental (Hidr@m)Área de conocimiento
Ingeniería HidráulicaPatrocinadores
This research was funded by the Municipal Sanitation Company of the city of Murcia (EMUASA), grant numbers 4904/17IC-C and 5397/18IC-C from 2016 to 2019 for the Study of preventive and corrective measures to be applied in the sewerage network to minimize corrosion in the concrete pipes of the sewerage network of the city of Murcia by the action of hydrogen sulfide.Fecha de publicación
2020Editorial
MDPICita bibliográfica
García, J.T.; García-Guerrero, J.M.; Carrillo, J.M.; Sordo-Ward, Á.; Altarejos-García, L.; Martínez-Solano, P.D.; Pérez de la Cruz, F.-J.; Vigueras-Rodriguez, A.; Castillo, L.G. Sanitation Network Sulfide Modeling as a Tool for Asset Management. The Case of the City of Murcia (Spain). Sustainability 2020, 12, 7643. https://doi.org/10.3390/su12187643Palabras clave
Hydrogen sulfideModeling
Concrete corrosion
Asset management
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Resumen
Hydrogen sulfide (H2S) generated in sewer networks induces corrosion which today constitutes the main cause of deterioration of concrete pipes. Information regarding the H2S concentration inside sewer networks, as well as its control and reduction, has become one of the most important concerns in sanitation systems management nowadays. Modeling sulfide dynamics is the key to understanding corrosion processes. A dynamic model (called EMU-SANETSUL) was developed to calculate the H2S concentration in both the water and the gas phases of the main sewers of the city of Murcia (Spain). The model was calibrated with data from field measurements taken from both the gas phase and wastewater. Samples were taken in the network from 2016 to 2019. The model achieved an accuracy index and error index in the ranges of 57% and 15%, respectively. Empirical equations of reaction are used, and calibration parameters are detailed. The code uses an explicit discretization technique, named the Discrete Volume ...
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