Literature DB >> 31823259

Integrated model for estimating odor emissions from civil wastewater treatment plants.

Marco Ravina1, Deborah Panepinto2, Jheyson Mejia Estrada3, Luca De Giorgio4, Pietro Salizzoni3, Mariachiara Zanetti2, Lorenza Meucci4.   

Abstract

The objective of this research project was the design and development of an integrated model for odor emission estimation in wastewater treatment plants. The SMAT's plant, the largest wastewater treatment facility in Italy, was used as a case study. This article reports the results of the characterization phase that led to the definition and design of the proposed conceptual model for odor emission estimation. In this phase, concentrations of odor chemical tracers (VOC, H2S, NH3) and odor concentrations were monitored repeatedly. VOC screening with GC-MS analysis was also performed. VOC concentrations showed significant variability in space and magnitude. NH3 and H2S were also detected at considerable concentrations. Results were elaborated to define a spatially variable linear relationship between the sum of odor activity values (SOAV) and odor concentrations. Based on the results, a conceptual operational model was presented and discussed. The proposed system is composed by a network of continuous measurement stations, a set of algorithms for data elaboration and synchronization, and emission dispersion modeling with the application of Lagrangian atmospheric models.

Entities:  

Keywords:  Odor activity value; Odor dispersion modeling; Odor monitoring; Odor tracers; Olfactometry; Wastewater treatment

Mesh:

Substances:

Year:  2019        PMID: 31823259     DOI: 10.1007/s11356-019-06939-5

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  26 in total

Review 1.  An overview of principles of odor production, emission, and control methods in wastewater collection and treatment systems.

Authors:  Amirreza Talaiekhozani; Marzieh Bagheri; Amin Goli; Mohammad Reza Talaei Khoozani
Journal:  J Environ Manage       Date:  2016-01-30       Impact factor: 6.789

2.  Distribution and sensorial relevance of volatile organic compounds emitted throughout wastewater biosolids processing.

Authors:  R M Fisher; N Le-Minh; E C Sivret; J P Alvarez-Gaitan; S J Moore; R M Stuetz
Journal:  Sci Total Environ       Date:  2017-05-08       Impact factor: 7.963

3.  Comparison of two peak-to-mean approaches for use in odour dispersion models.

Authors:  Martin Piringer; Günther Schauberger; Erwin Petz; Werner Knauder
Journal:  Water Sci Technol       Date:  2012       Impact factor: 1.915

Review 4.  The impact of malodour on communities: a review of assessment techniques.

Authors:  J E Hayes; R J Stevenson; R M Stuetz
Journal:  Sci Total Environ       Date:  2014-09-21       Impact factor: 7.963

Review 5.  Characteristics of odors emitted from municipal wastewater treatment plant and methods for their identification and deodorization techniques.

Authors:  Paulina Lewkowska; Bartłomiej Cieślik; Tomasz Dymerski; Piotr Konieczka; Jacek Namieśnik
Journal:  Environ Res       Date:  2016-08-31       Impact factor: 6.498

6.  A case study of odour nuisance evaluation in the context of integrated urban planning.

Authors:  Joanna Badach; Paulina Kolasińska; Małgorzata Paciorek; Wojciech Wojnowski; Tomasz Dymerski; Jacek Gębicki; Małgorzata Dymnicka; Jacek Namieśnik
Journal:  J Environ Manage       Date:  2018-05-01       Impact factor: 6.789

Review 7.  Odour measurements for sewage treatment works.

Authors:  P Gostelow; S A Parsons; R M Stuetz
Journal:  Water Res       Date:  2001-03       Impact factor: 11.236

Review 8.  Odour detection methods: olfactometry and chemical sensors.

Authors:  Magda Brattoli; Gianluigi de Gennaro; Valentina de Pinto; Annamaria Demarinis Loiotile; Sara Lovascio; Michele Penza
Journal:  Sensors (Basel)       Date:  2011-05-16       Impact factor: 3.576

9.  Use of a modified vector model for odor intensity prediction of odorant mixtures.

Authors:  Luchun Yan; Jiemin Liu; Di Fang
Journal:  Sensors (Basel)       Date:  2015-03-09       Impact factor: 3.576

10.  Determination of Odour Interactions in Gaseous Mixtures Using Electronic Nose Methods with Artificial Neural Networks.

Authors:  Bartosz Szulczyński; Krzysztof Armiński; Jacek Namieśnik; Jacek Gębicki
Journal:  Sensors (Basel)       Date:  2018-02-08       Impact factor: 3.576

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