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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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).

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

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

Name of the periodical

Journal of Water Process Engineering

ISSN

2214-7144

e-ISSN

2214-7144

Volume of the periodical

56

Issue of the periodical within the volume

December 2023

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

11

Pages from-to

104274

UT code for WoS article

001082531100001

EID of the result in the Scopus database

2-s2.0-85171484411