Next Article in Journal
Leopold’s Arboretum Needs Upstream Water Treatment to Restore Wetlands Downstream
Previous Article in Journal
Spatial Assessment of Groundwater Quality Monitoring Wells Using Indicator Kriging and Risk Mapping, Amol-Babol Plain, Iran
Article Menu

Export Article

Open AccessArticle
Water 2014, 6(1), 86-103; doi:10.3390/w6010086

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

1
Centre for Water Resource Systems, Vienna University of Technology, Karlsplatz 13/222, Vienna A-1040, Austria
2
Laboratoire Réactions et Génie des Procédés (UMR 7274 CNRS), Université de Lorraine, 1, rue Grandville, BP 20451, Nancy F-54001, France
3
Institute for Water Quality, Resource and Waste Management, Vienna University of Technology, Karlsplatz 13/226, Vienna A-1040, Austria
*
Author to whom correspondence should be addressed.
Received: 17 October 2013 / Revised: 23 December 2013 / Accepted: 25 December 2013 / Published: 2 January 2014
View Full-Text   |   Download PDF [373 KB, uploaded 9 June 2015]   |  

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 (O2,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 (ΔEQrest). The cleaning performance is expressed as ΔEQnew, the weighted average of ΔH and ΔEQrest. The results show that ΔEQnew 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 ΔEQnew.
Keywords: Benchmarking Simulation Model; extended statistical entropy analysis; nitrogen; nitrous oxide; wastewater treatment Benchmarking Simulation Model; extended statistical entropy analysis; nitrogen; nitrous oxide; wastewater treatment
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Sobańtka, A.P.; Pons, M.-N.; Zessner, M.; Rechberger, H. Implementation of Extended Statistical Entropy Analysis to the Effluent Quality Index of the Benchmarking Simulation Model No. 2. Water 2014, 6, 86-103.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top