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

Abstract : 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,O-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, Delta H, 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 (Delta EQ(rest)). The cleaning performance is expressed as Delta EQ(new), the weighted average of Delta H and Delta EQ(rest). The results show that Delta EQ(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 Delta EQ(new).
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https://hal.univ-lorraine.fr/hal-01276647
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Submitted on : Friday, February 19, 2016 - 4:47:29 PM
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Alicja P. Sobantka, Marie-Noëlle Pons, Matthias Zessner, Helmut Rechberger. Implementation of Extended Statistical Entropy Analysis to the Effluent Quality Index of the Benchmarking Simulation Model No. 2. Water, MDPI, 2014, 6 (1), pp.86-103. ⟨10.3390/w6010086⟩. ⟨hal-01276647⟩

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