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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F23%3A00578270" target="_blank" >RIV/61388971:_____/23:00578270 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2214714423007948?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2214714423007948?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jwpe.2023.104274" target="_blank" >10.1016/j.jwpe.2023.104274</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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).

Název v anglickém jazyce

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

Popis výsledku anglicky

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).

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Water Process Engineering

ISSN

2214-7144

e-ISSN

2214-7144

Svazek periodika

56

Číslo periodika v rámci svazku

December 2023

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

104274

Kód UT WoS článku

001082531100001

EID výsledku v databázi Scopus

2-s2.0-85171484411