System dynamic modelling to assess the influential factors affecting roughing filter and slow sand filter performance in treating culinary wastewater

0578270 - MBÚ 2024 RIV NL eng J - Článek v odborném periodiku
Fitriani, N. - Kurniawan, Setyo Budi - Imron, M. F. - Maulana, I. I. - Soedjono, E. S. - Mohamed, R. M. S. R. - Othman, N. B. - Ni'matuzahroh, N. - Kusuma, M. N.
System dynamic modelling to assess the influential factors affecting roughing filter and slow sand filter performance in treating culinary wastewater.
Journal of Water Process Engineering. Roč. 56, December 2023 (2023), č. článku 104274. ISSN 2214-7144. E-ISSN 2214-7144
Institucionální podpora: RVO:61388971
Klíčová slova: removal * exposure * Environmental pollution * Food wastewater * Model simulation * System dynamic * Wastewater treatment
Obor OECD: Environmental sciences (social aspects to be 5.7)
Impakt faktor: 7, rok: 2022
Způsob publikování: Omezený přístup
https://www.sciencedirect.com/science/article/pii/S2214714423007948?via%3Dihub

This research aimed to determine the factors that influence the performance of a slow sand filter (SSF) equipped with a roughing filter (RF) as a pretreatment unit using system dynamic (SD) modelling. STELLA was used to model the system and predict the behavior pattern, as well as the system's performance in removing turbidity, total suspended solids (TSS), BOD, COD, and phosphate. SD modelling consisted of system identification, system model framework, model structure building, system modelling, verification, and validation. Two sub-models were obtained from the main model, consisting of the RF and SSF sub-models. Results showed that dissolved oxygen (DO) and the growth rate of microorganisms played significant roles in the parameter removal. Predicted result by SD modelling showed a good fit with actual run, suggesting that factors applied in the model building were adequate to exhibit the actual system. RF removed 80.5 %-85 % of turbidity and 70.63 %-85 % of TSS, while SSF removed 48.50 %-82.43 % of turbidity, 0.92 %-46.15 % of TSS, 1.65 %-65.45 % of BOD, 22.69 %- 65.22 % of COD, and 7.96 %-27.11 % of phosphate. Effluent after SSF was still having BOD and COD concentrations exceeding the governmental standard, in which increasing DO inlet and microorganism growth rate were simulated afterward. The scenarios used showed a positive impact on the removal of BOD and COD, resulting in an average concentration lower than the permissible limit (5 mg/L and 50 mg/L, respectively).
Trvalý link: https://hdl.handle.net/11104/0347290