Literature DB >> 32451969

Mitigation of eutrophication caused by wastewater discharge: A simulation-based approach.

Michał Preisner1, Elena Neverova-Dziopak2, Zbigniew Kowalewski2.   

Abstract

Mitigation of eutrophication, intensified by excessive nutrient load discharge in wastewaters regulated by restrictive legal requirements, remains one of today's most important global problems. Despite implementation of the Water Framework Directive, the Urban Wastewater Directive and the HELCOM recommendations, the actual condition of surface water is still not satisfactory. In response to the above, the study presents an alternative approach for surface water protection against eutrophication based on the selection of appropriate nutrient removal technologies. An activated sludge model simulation was used to enable the identification of environmentally justified nutrient removal systems with lowest eutrophication potential of treated wastewater conditioned by bioavailable nutrient forms content. Based on the outcome of the study, the 3-stage Bardenpho system was identified as the most efficient for bioavailable phosphorus removal, while the Johannesburg system proved to have the highest efficiency for bioavailable nitrogen removal. The proposed eutrophication mitigation approach underlines the need for a reconsideration of current legal regulations which ignore nutrient bioavailability and key eutrophication limiting factors.

Entities:  

Keywords:  ASM simulation; Eutrophication potential; Nutrients bioavailability; Wastewater treatment

Year:  2020        PMID: 32451969     DOI: 10.1007/s13280-020-01346-4

Source DB:  PubMed          Journal:  Ambio        ISSN: 0044-7447            Impact factor:   5.129


  2 in total

1.  Trends, insights and effects of the Urban Wastewater Treatment Directive (91/271/EEC) implementation in the light of the Polish coastal zone eutrophication.

Authors:  Michał Preisner; Marzena Smol; Dominika Szołdrowska
Journal:  Environ Manage       Date:  2021-01-15       Impact factor: 3.644

2.  Guided by Microbes: Applying Community Coalescence Principles for Predictive Microbiome Engineering.

Authors:  Jennifer D Rocca; Mario E Muscarella; Ariane L Peralta; Dandan Izabel-Shen; Marie Simonin
Journal:  mSystems       Date:  2021-08-17       Impact factor: 6.496

  2 in total

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