Monitoring of a long term phytoremediation process of a soil contaminated by heavy metals and hydrocarbons in Tuscany.
Identifieur interne : 000259 ( Main/Exploration ); précédent : 000258; suivant : 000260Monitoring of a long term phytoremediation process of a soil contaminated by heavy metals and hydrocarbons in Tuscany.
Auteurs : Cristina Macci [Italie] ; Eleonora Peruzzi [Italie] ; Serena Doni [Italie] ; Grazia Masciandaro [Italie]Source :
- Environmental science and pollution research international [ 1614-7499 ] ; 2020.
Descripteurs français
- KwdFr :
- Dépollution biologique de l'environnement (MeSH), Hydrocarbures (analyse), Lamiales (métabolisme), Microbiologie du sol (MeSH), Métaux lourds (analyse), Métaux lourds (métabolisme), Polluants du sol (analyse), Polluants du sol (métabolisme), Populus (métabolisme), Pétrole (analyse), Sol (composition chimique).
- MESH :
- analyse : Hydrocarbures, Métaux lourds, Polluants du sol, Pétrole.
- composition chimique : Sol.
- métabolisme : Lamiales, Métaux lourds, Polluants du sol, Populus.
- Dépollution biologique de l'environnement, Microbiologie du sol.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Hydrocarbons, Metals, Heavy, Petroleum, Soil Pollutants.
- chemical , chemistry : Soil.
- metabolism : Lamiales, Metals, Heavy, Populus, Soil Pollutants.
- Biodegradation, Environmental, Soil Microbiology.
Abstract
The purpose of this study was to monitor and model indicators of soil contamination, organic matter evolution and biochemical processes involved in a long-term phytoremediation process. Populus nigra L., Paulownia tomentosa Steud., Cytisus scoparius L. and natural vegetation were used in differently contaminated areas (high, medium and low levels of contamination). Parameters indicating contamination (total petroleum hydrocarbons (TPH) and heavy metals) and agronomic (C, N and P) and functional (enzyme activities) soil recovery were monitored for 3.5 years. Three subareas with different levels of contamination (high, medium and low) were identified according to the Nemerow Index. A considerable decrease in TPH (52% on average) over time in the whole site was measured, while the metal reduction was only of about 22% at surface level. A stimulation in metabolic soil processes and improvement in the chemical quality of the soil was also observed throughout the experimental site. Statistical analysis modelling showed that the contaminant content decreased following a one-phase decay model, while the dramatic increase in enzyme activities could be represented by an exponential growth equation. On the basis of our data, it is possible to conclude that the initial contamination level affected neither the decontamination process nor the improvement in soil quality, which occurred similarly in the three different contaminated areas.
DOI: 10.1007/s11356-019-06836-x
PubMed: 31797270
Affiliations:
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Ecosystems, Via Moruzzi 1, 56124, Pisa</wicri:regionArea><placeName><settlement type="city">Pise</settlement><region nuts="2">Toscane</region></placeName></affiliation></author><author><name sortKey="Peruzzi, Eleonora" sort="Peruzzi, Eleonora" uniqKey="Peruzzi E" first="Eleonora" last="Peruzzi">Eleonora Peruzzi</name><affiliation wicri:level="3"><nlm:affiliation>National Research Council of Italy, Research Institute on Terrestrial Ecosystems, Via Moruzzi 1, 56124, Pisa, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>National Research Council of Italy, Research Institute on Terrestrial Ecosystems, Via Moruzzi 1, 56124, Pisa</wicri:regionArea><placeName><settlement type="city">Pise</settlement><region nuts="2">Toscane</region></placeName></affiliation></author><author><name sortKey="Doni, Serena" sort="Doni, Serena" uniqKey="Doni S" first="Serena" last="Doni">Serena Doni</name><affiliation wicri:level="3"><nlm:affiliation>National Research Council of Italy, Research Institute on Terrestrial Ecosystems, Via Moruzzi 1, 56124, Pisa, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>National Research Council of Italy, Research Institute on Terrestrial Ecosystems, Via Moruzzi 1, 56124, Pisa</wicri:regionArea><placeName><settlement type="city">Pise</settlement><region nuts="2">Toscane</region></placeName></affiliation></author><author><name sortKey="Masciandaro, Grazia" sort="Masciandaro, Grazia" uniqKey="Masciandaro G" first="Grazia" last="Masciandaro">Grazia Masciandaro</name><affiliation wicri:level="3"><nlm:affiliation>National Research Council of Italy, Research Institute on Terrestrial Ecosystems, Via Moruzzi 1, 56124, Pisa, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>National Research Council of Italy, Research Institute on Terrestrial Ecosystems, Via Moruzzi 1, 56124, Pisa</wicri:regionArea><placeName><settlement type="city">Pise</settlement><region nuts="2">Toscane</region></placeName></affiliation></author></analytic><series><title level="j">Environmental science and pollution research international</title><idno type="eISSN">1614-7499</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biodegradation, Environmental (MeSH)</term><term>Hydrocarbons (analysis)</term><term>Lamiales (metabolism)</term><term>Metals, Heavy (analysis)</term><term>Metals, Heavy (metabolism)</term><term>Petroleum (analysis)</term><term>Populus (metabolism)</term><term>Soil (chemistry)</term><term>Soil Microbiology (MeSH)</term><term>Soil Pollutants (analysis)</term><term>Soil Pollutants (metabolism)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Dépollution biologique de l'environnement (MeSH)</term><term>Hydrocarbures (analyse)</term><term>Lamiales (métabolisme)</term><term>Microbiologie du sol (MeSH)</term><term>Métaux lourds (analyse)</term><term>Métaux lourds (métabolisme)</term><term>Polluants du sol (analyse)</term><term>Polluants du sol (métabolisme)</term><term>Populus (métabolisme)</term><term>Pétrole (analyse)</term><term>Sol (composition chimique)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Hydrocarbons</term><term>Metals, Heavy</term><term>Petroleum</term><term>Soil Pollutants</term></keywords><keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Soil</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Hydrocarbures</term><term>Métaux lourds</term><term>Polluants du sol</term><term>Pétrole</term></keywords><keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Sol</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Lamiales</term><term>Metals, Heavy</term><term>Populus</term><term>Soil Pollutants</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Lamiales</term><term>Métaux lourds</term><term>Polluants du sol</term><term>Populus</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Biodegradation, Environmental</term><term>Soil Microbiology</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Dépollution biologique de l'environnement</term><term>Microbiologie du sol</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The purpose of this study was to monitor and model indicators of soil contamination, organic matter evolution and biochemical processes involved in a long-term phytoremediation process. Populus nigra L., Paulownia tomentosa Steud., Cytisus scoparius L. and natural vegetation were used in differently contaminated areas (high, medium and low levels of contamination). Parameters indicating contamination (total petroleum hydrocarbons (TPH) and heavy metals) and agronomic (C, N and P) and functional (enzyme activities) soil recovery were monitored for 3.5 years. Three subareas with different levels of contamination (high, medium and low) were identified according to the Nemerow Index. A considerable decrease in TPH (52% on average) over time in the whole site was measured, while the metal reduction was only of about 22% at surface level. A stimulation in metabolic soil processes and improvement in the chemical quality of the soil was also observed throughout the experimental site. Statistical analysis modelling showed that the contaminant content decreased following a one-phase decay model, while the dramatic increase in enzyme activities could be represented by an exponential growth equation. On the basis of our data, it is possible to conclude that the initial contamination level affected neither the decontamination process nor the improvement in soil quality, which occurred similarly in the three different contaminated areas.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">31797270</PMID><DateCompleted><Year>2020</Year><Month>03</Month><Day>03</Day></DateCompleted><DateRevised><Year>2020</Year><Month>03</Month><Day>03</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1614-7499</ISSN><JournalIssue CitedMedium="Internet"><Volume>27</Volume><Issue>1</Issue><PubDate><Year>2020</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Environmental science and pollution research international</Title><ISOAbbreviation>Environ Sci Pollut Res Int</ISOAbbreviation></Journal><ArticleTitle>Monitoring of a long term phytoremediation process of a soil contaminated by heavy metals and hydrocarbons in Tuscany.</ArticleTitle><Pagination><MedlinePgn>424-437</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s11356-019-06836-x</ELocationID><Abstract><AbstractText>The purpose of this study was to monitor and model indicators of soil contamination, organic matter evolution and biochemical processes involved in a long-term phytoremediation process. Populus nigra L., Paulownia tomentosa Steud., Cytisus scoparius L. and natural vegetation were used in differently contaminated areas (high, medium and low levels of contamination). Parameters indicating contamination (total petroleum hydrocarbons (TPH) and heavy metals) and agronomic (C, N and P) and functional (enzyme activities) soil recovery were monitored for 3.5 years. Three subareas with different levels of contamination (high, medium and low) were identified according to the Nemerow Index. A considerable decrease in TPH (52% on average) over time in the whole site was measured, while the metal reduction was only of about 22% at surface level. A stimulation in metabolic soil processes and improvement in the chemical quality of the soil was also observed throughout the experimental site. Statistical analysis modelling showed that the contaminant content decreased following a one-phase decay model, while the dramatic increase in enzyme activities could be represented by an exponential growth equation. On the basis of our data, it is possible to conclude that the initial contamination level affected neither the decontamination process nor the improvement in soil quality, which occurred similarly in the three different contaminated areas.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Macci</LastName><ForeName>Cristina</ForeName><Initials>C</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-9131-3314</Identifier><AffiliationInfo><Affiliation>National Research Council of Italy, Research Institute on Terrestrial Ecosystems, Via Moruzzi 1, 56124, Pisa, Italy. cristina.macci@cnr.it.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Peruzzi</LastName><ForeName>Eleonora</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>National Research Council of Italy, Research Institute on Terrestrial Ecosystems, Via Moruzzi 1, 56124, Pisa, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Doni</LastName><ForeName>Serena</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>National Research Council of Italy, Research Institute on Terrestrial Ecosystems, Via Moruzzi 1, 56124, Pisa, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Masciandaro</LastName><ForeName>Grazia</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>National Research Council of Italy, Research Institute on Terrestrial Ecosystems, Via Moruzzi 1, 56124, Pisa, Italy.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>12</Month><Day>03</Day></ArticleDate></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Environ Sci Pollut Res 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MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000068378" MajorTopicYN="N">Lamiales</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D019216" MajorTopicYN="N">Metals, Heavy</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010578" MajorTopicYN="N">Petroleum</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012987" MajorTopicYN="N">Soil</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName 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IdType="pubmed">23681772</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Italie</li></country><region><li>Toscane</li></region><settlement><li>Pise</li></settlement></list><tree><country name="Italie"><region name="Toscane"><name sortKey="Macci, Cristina" sort="Macci, Cristina" uniqKey="Macci C" first="Cristina" last="Macci">Cristina Macci</name></region><name sortKey="Doni, Serena" sort="Doni, Serena" uniqKey="Doni S" first="Serena" last="Doni">Serena Doni</name><name sortKey="Masciandaro, Grazia" sort="Masciandaro, Grazia" uniqKey="Masciandaro G" first="Grazia" last="Masciandaro">Grazia Masciandaro</name><name sortKey="Peruzzi, Eleonora" sort="Peruzzi, Eleonora" uniqKey="Peruzzi E" first="Eleonora" last="Peruzzi">Eleonora Peruzzi</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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