Odorous emission reduction from a waste landfill with an optimal protection system based on fuzzy logic.


Journal

Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769

Informations de publication

Date de publication:
May 2019
Historique:
received: 23 02 2018
accepted: 05 06 2018
pubmed: 4 7 2018
medline: 10 7 2019
entrez: 4 7 2018
Statut: ppublish

Résumé

Effective landfill management and operation require an accurate evaluation of the occurrence and extent of odour emission events, which are among the main causes of resident complaints and concerns, in particular in densely urbanised areas. This paper proposes a fuzzy optimal protection system (FOPS) based on fuzzy logic to manage odour production from a municipal solid waste (MSW) landfill. The case study is a MSW landfill in an old quarry site located 6 km north-west of Naples city centre (Italy). The aim is to reduce the odour nuisance in the area surrounding the landfill where there are several sensitive receptors. FOPS is based on logical relationships between local atmospheric dynamics, number and intensity of odour pollution events detected by certain fixed receptors and odour emission rate via an optimal fuzzy approach. Such system allows to start, in real time, established mitigation actions required to further reduce the odorous emissions from the landfill itself (e.g. spraying of perfumed substances and activation of extraction wells), especially when weather conditions might not be favourable and cause by causing a higher odour perception. The fuzzy system was coupled with the air pollutant transport software CALPUFF to simulate the odour dispersion in the considered area taking into account both different odour emission rates and local weather conditions. FOPS results show that this approach can be very useful as, by measuring the odour concentrations, a significant reduction of the odour exceedances over the thresholds fixed, to minimise the olfactory harassment, was observed in the whole area studied.

Identifiants

pubmed: 29968215
doi: 10.1007/s11356-018-2514-0
pii: 10.1007/s11356-018-2514-0
doi:

Substances chimiques

Solid Waste 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

14755-14765

Références

Waste Manag Res. 2006 Aug;24(4):332-44
pubmed: 16941992
J Air Waste Manag Assoc. 2007 Mar;57(3):337-47
pubmed: 17385601
J Air Waste Manag Assoc. 2009 May;59(5):520-30
pubmed: 19583152
J Air Waste Manag Assoc. 2010 Jan;60(1):63-71
pubmed: 20102036
J Air Waste Manag Assoc. 2010 Apr;60(4):412-8
pubmed: 20437776
J Air Waste Manag Assoc. 2010 Jun;60(6):675-80
pubmed: 20564992
J Air Waste Manag Assoc. 2010 Jun;60(6):711-21
pubmed: 20564997
Waste Manag. 2013 Apr;33(4):974-87
pubmed: 23321503
J Air Waste Manag Assoc. 2013 Jun;63(6):712-23
pubmed: 23858997
J Air Waste Manag Assoc. 2013 Nov;63(11):1287-97
pubmed: 24344572
J Air Waste Manag Assoc. 2015 Apr;65(4):479-84
pubmed: 25947217

Auteurs

Armando Di Nardo (A)

Dipartimento di Ingegneria, Università degli Studi della Campania "Luigi Vanvitelli", Via Roma 29, 81031, Aversa, Caserta, Italy. armando.dinardo@unicampania.it.

Immacolata Bortone (I)

School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, UK.

Simeone Chianese (S)

Dipartimento di Ingegneria, Università degli Studi della Campania "Luigi Vanvitelli", Via Roma 29, 81031, Aversa, Caserta, Italy.

Michele Di Natale (M)

Dipartimento di Ingegneria, Università degli Studi della Campania "Luigi Vanvitelli", Via Roma 29, 81031, Aversa, Caserta, Italy.

Alessandro Erto (A)

Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università di Napoli Federico II, P.le Tecchio, 80, 80125, Naples, Italy.

Giovanni Francesco Santonastaso (GF)

Dipartimento di Ingegneria, Università degli Studi della Campania "Luigi Vanvitelli", Via Roma 29, 81031, Aversa, Caserta, Italy.

Dino Musmarra (D)

Dipartimento di Ingegneria, Università degli Studi della Campania "Luigi Vanvitelli", Via Roma 29, 81031, Aversa, Caserta, Italy.

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Classifications MeSH