Odorous emission reduction from a waste landfill with an optimal protection system based on fuzzy logic
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...
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| Veröffentlicht in: | Environmental science and pollution research international 2019-05, Vol.26 (15), p.14755-14765 |
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| creator | Di Nardo, Armando Bortone, Immacolata Chianese, Simeone Di Natale, Michele Erto, Alessandro Santonastaso, Giovanni Francesco Musmarra, Dino |
| description | 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. |
| doi_str_mv | 10.1007/s11356-018-2514-0 |
| format | Article |
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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.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-018-2514-0</identifier><identifier>PMID: 29968215</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>air pollutants ; Air pollution ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; case studies ; computer software ; Earth and Environmental Science ; Ecotoxicology ; Emission analysis ; Emissions control ; Engineering ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental Management ; Environmental science ; Fuzzy logic ; Fuzzy systems ; Italy ; Landfill ; Landfill management ; Landfills ; Municipal landfills ; Municipal solid waste ; Municipal waste management ; Odor control ; Odor intensity ; Odor pollution ; Odor thresholds ; Odorant receptors ; Odors ; Planning and Economics ; pollution ; Pollution dispersion ; quarries ; Receptors ; Solid waste management ; Spraying ; urbanization ; Waste disposal sites ; Waste Water Technology ; Water Management ; Water Pollution Control ; Weather</subject><ispartof>Environmental science and pollution research international, 2019-05, Vol.26 (15), p.14755-14765</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Environmental Science and Pollution Research is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c485t-f35a4695993a5448886f0d72864646b60a0e84008af606ca3c42817bdf0a37da3</citedby><cites>FETCH-LOGICAL-c485t-f35a4695993a5448886f0d72864646b60a0e84008af606ca3c42817bdf0a37da3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-018-2514-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-018-2514-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29968215$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Di Nardo, Armando</creatorcontrib><creatorcontrib>Bortone, Immacolata</creatorcontrib><creatorcontrib>Chianese, Simeone</creatorcontrib><creatorcontrib>Di Natale, Michele</creatorcontrib><creatorcontrib>Erto, Alessandro</creatorcontrib><creatorcontrib>Santonastaso, Giovanni Francesco</creatorcontrib><creatorcontrib>Musmarra, Dino</creatorcontrib><title>Odorous emission reduction from a waste landfill with an optimal protection system based on fuzzy logic</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>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.</description><subject>air pollutants</subject><subject>Air pollution</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>case studies</subject><subject>computer software</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Emission analysis</subject><subject>Emissions control</subject><subject>Engineering</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental Management</subject><subject>Environmental science</subject><subject>Fuzzy logic</subject><subject>Fuzzy 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emission reduction from a waste landfill with an optimal protection system based on fuzzy logic</title><author>Di Nardo, Armando ; Bortone, Immacolata ; Chianese, Simeone ; Di Natale, Michele ; Erto, Alessandro ; Santonastaso, Giovanni Francesco ; Musmarra, Dino</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c485t-f35a4695993a5448886f0d72864646b60a0e84008af606ca3c42817bdf0a37da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>air pollutants</topic><topic>Air pollution</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>case studies</topic><topic>computer software</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Emission analysis</topic><topic>Emissions control</topic><topic>Engineering</topic><topic>Environment</topic><topic>Environmental 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Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Di Nardo, Armando</au><au>Bortone, Immacolata</au><au>Chianese, Simeone</au><au>Di Natale, Michele</au><au>Erto, Alessandro</au><au>Santonastaso, Giovanni Francesco</au><au>Musmarra, Dino</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Odorous emission reduction from a waste landfill with an optimal protection system based on fuzzy logic</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2019-05-01</date><risdate>2019</risdate><volume>26</volume><issue>15</issue><spage>14755</spage><epage>14765</epage><pages>14755-14765</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>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.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29968215</pmid><doi>10.1007/s11356-018-2514-0</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | air pollutants Air pollution Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution case studies computer software Earth and Environmental Science Ecotoxicology Emission analysis Emissions control Engineering Environment Environmental Chemistry Environmental Health Environmental Management Environmental science Fuzzy logic Fuzzy systems Italy Landfill Landfill management Landfills Municipal landfills Municipal solid waste Municipal waste management Odor control Odor intensity Odor pollution Odor thresholds Odorant receptors Odors Planning and Economics pollution Pollution dispersion quarries Receptors Solid waste management Spraying urbanization Waste disposal sites Waste Water Technology Water Management Water Pollution Control Weather |
| title | Odorous emission reduction from a waste landfill with an optimal protection system based on fuzzy logic |
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