Integrated model for estimating odor emissions from civil wastewater treatment plants

Autor: Jheyson Brayam Mejia Estrada, Pietro Salizzoni, Luca De Giorgio, Deborah Panepinto, Mariachiara Zanetti, Lorenza Meucci, Marco Ravina
Přispěvatelé: Politecnico di Torino = Polytechnic of Turin (Polito), Laboratoire de Mecanique des Fluides et d'Acoustique (LMFA), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2019
Předmět:
Zdroj: Environmental Science and Pollution Research
Environmental Science and Pollution Research, Springer Verlag, 2020, 27, pp.3992-4007. ⟨10.1007/s11356-019-06939-5⟩
ISSN: 1614-7499
0944-1344
DOI: 10.1007/s11356-019-06939-5
Popis: 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.
Databáze: OpenAIRE