Return to search

Identification of Data Requirements for Calibration of a Steady State ASM2d Model at GBWWTP

An attempt was made to calibrate a steady state activated sludge model (ASM2d) for the biological nutrient removal process at the Gold bar wastewater treatment plant. This calibrated model could be used on a regular basis to test various operational strategies and predict effluent quality under different scenario. To achieve this historic data from the plant database was collected based on 24 composite samples. A trial and error method of wastewater characterization of the primary effluent was attempted using the influent advisor module of the GPS-[X] software. Sensitivity analysis of kinetic parameters was carried out and the most important ones identified were calibrated (default values were modified) based on literature. After calibration it was observed that the model was overestimating the concentrations of carbonaceous biological oxygen demand, total suspended solids and orthophosphate in the effluent, compared to the actual value measured at the plant. Similarly the effluent ammonia concentration was underestimated for most days along with the nitrate and nitrite concentration. This clearly indicated the need for a more accurate calibration based on experimental data to improve prediction capabilities and the reliability of the model. / Environmental Science

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:AEU.10048/986
Date06 1900
CreatorsGhanesh , Ayishvaryaa
ContributorsDr. Ian Buchanan (Civil and Environmental Engineering), Dr. Tong Yu (Civil and Environmental Engineering), Dr. Warren Kindzierski (Public Health Sciences)
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Format549618 bytes, application/pdf

Page generated in 0.0021 seconds