Implementation of Extended Statistical Entropy Analysis to the Effluent Quality Index of the Benchmarking Simulation Model No. 2

Water

Alicja P. Sobańtka¹  Marie-Noëlle Pons²  Matthias Zessner¹ 

[1] Centre for Water Resource Systems, Vienna University of Technology, Karlsplatz 13/222, Vienna A-1040, Austria; E-Mails:;Laboratoire Réactions et Génie des Procédés (UMR 7274 CNRS), Université de Lorraine, 1, rue Grandville, BP 20451, Nancy F-54001, France; E-Mail:

关键词: Benchmarking Simulation Model;    extended statistical entropy analysis;    nitrogen;    nitrous oxide;    wastewater treatment;   

DOI  :  10.3390/w6010086

来源: mdpi

【 摘 要 】

Extended statistical entropy analysis (eSEA) is used to assess the nitrogen (N) removal performance of the wastewater treatment (WWT) simulation software, the Benchmarking Simulation Model No. 2 (BSM No. 2 ). Six simulations with three different types of wastewater are carried out, which vary in the dissolved oxygen concentration (O_2,diss.) during the aerobic treatment. N₂O emissions generated during denitrification are included in the model. The N-removal performance is expressed as reduction in statistical entropy, ΔH, compared to the hypothetical reference situation of direct discharge of the wastewater into the river. The parameters chemical and biological oxygen demand (COD, BOD) and suspended solids (SS) are analogously expressed in terms of reduction of COD, BOD, and SS, compared to a direct discharge of the wastewater to the river (ΔEQ_rest). The cleaning performance is expressed as ΔEQ_new, the weighted average of ΔH and ΔEQ_rest. The results show that ΔEQ_new is a more comprehensive indicator of the cleaning performance because, in contrast to the traditional effluent quality index (EQ), it considers the characteristics of the wastewater, includes all N-compounds and their distribution in the effluent, the off-gas, and the sludge. Furthermore, it is demonstrated that realistically expectable N₂O emissions have only a moderate impact on ΔEQ_new.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.