Evaluating the structural identifiability of the parameters of the EBPR sub-model in ASM2d by the differential algebra method.
The calibration of ASMs is a prerequisite for their application to simulation of a wastewater treatment plant. This work should be made based on the evaluation of structural identifiability of model parameters. An EBPR sub-model including denitrification phosphorus removal has been incorporated in ASM2d. Yet no report is presented on the structural identifiability of the parameters in the EBPR sub-model. In this paper, the differential algebra approach was used to address this issue. The results showed that the structural identifiability of parameters in the EBPR sub-model could be improved by increasing the measured variables. The reduction factor eta(NO)(3) was identifiable when combined data of aerobic process and anoxic process were assumed. For K(PP), X(PAO) and q(PHA) of the anaerobic process to be uniquely identifiable, one of them is needed to be determined by other ways. Likewise, if prior information on one of the parameters, K(PHA), X(PAO) and q(PP) of the aerobic process, is known, all the parameters are identifiable. The above results could be of interest to the parameter estimation of the EBPR sub-model. The algorithm proposed in the paper is also suitable for other sub-models of ASMs.
Zhang
Tian
T
Department of Environmental Science, Chongqing University, Chongqing, PR China.
Zhang
Daijun
D
Li
Zhenliang
Z
Cai
Qing
Q
D002138:Calibration; D008722:Methods; D008962:Models, Theoretical; D012722:Sewage / Q000382:microbiology*
D012722:Sewage