Variability of soil potential for biodegradation of petroleum hydrocarbons in a heterogeneous subsurface
Quantifying the spatial variability of factors affecting natural attenuation of hydrocarbons in the unsaturated zone is important to (i) performing a reliable risk assessment and (ii) evaluating the possibility for bioremediation of petroleum-polluted sites. Most studies to date have focused on the...
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| Veröffentlicht in: | Journal of hazardous materials 2010-07, Vol.179 (1), p.573-580 |
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| creator | Kristensen, Andreas H. Poulsen, Tjalfe G. Mortensen, Lars Moldrup, Per |
| description | Quantifying the spatial variability of factors affecting natural attenuation of hydrocarbons in the unsaturated zone is important to (i) performing a reliable risk assessment and (ii) evaluating the possibility for bioremediation of petroleum-polluted sites. Most studies to date have focused on the shallow unsaturated zone. Based on a data set comprising analysis of about 100 soil samples taken in a 16
m-deep unsaturated zone polluted with volatile petroleum compounds, we statistically and geostatistically analysed values of essential soil properties. The subsurface of the site was highly layered, resulting in an accumulation of pollution within coarse sandy lenses. Air-filled porosity, readily available phosphorous, and the first-order rate constant (
k
1) of benzene obtained from slurry biodegradation experiments were found to depend on geologic sample characterization (
P
<
0.05), while inorganic nitrogen was homogenously distributed across the soil stratigraphy. Semivariogram analysis showed a spatial continuity of 4–8.6
m in the vertical direction, while it was 2–5 times greater in the horizontal direction. Values of
k
1 displayed strong spatial autocorrelation. Even so, the soil potential for biodegradation was highly variable, which from autoregressive state-space modeling was partly explained by changes in soil air-filled porosity and gravimetric water content. The results suggest considering biological heterogeneity when evaluating the fate of contaminants in the subsurface. |
| doi_str_mv | 10.1016/j.jhazmat.2010.03.042 |
| format | Article |
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m-deep unsaturated zone polluted with volatile petroleum compounds, we statistically and geostatistically analysed values of essential soil properties. The subsurface of the site was highly layered, resulting in an accumulation of pollution within coarse sandy lenses. Air-filled porosity, readily available phosphorous, and the first-order rate constant (
k
1) of benzene obtained from slurry biodegradation experiments were found to depend on geologic sample characterization (
P
<
0.05), while inorganic nitrogen was homogenously distributed across the soil stratigraphy. Semivariogram analysis showed a spatial continuity of 4–8.6
m in the vertical direction, while it was 2–5 times greater in the horizontal direction. Values of
k
1 displayed strong spatial autocorrelation. Even so, the soil potential for biodegradation was highly variable, which from autoregressive state-space modeling was partly explained by changes in soil air-filled porosity and gravimetric water content. The results suggest considering biological heterogeneity when evaluating the fate of contaminants in the subsurface.</description><identifier>ISSN: 0304-3894</identifier><identifier>EISSN: 1873-3336</identifier><identifier>DOI: 10.1016/j.jhazmat.2010.03.042</identifier><identifier>PMID: 20363074</identifier><identifier>CODEN: JHMAD9</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Algorithms ; Applied sciences ; Biodegradation ; Biodegradation, Environmental ; Biological heterogeneity ; Chemical engineering ; Crude oil ; Exact sciences and technology ; Geologic Sediments - analysis ; Hydrocarbons ; Hydrocarbons - analysis ; Mathematical models ; Models, Statistical ; Nitrogen - analysis ; Petroleum - analysis ; Petroleum vapors ; Phosphorus - analysis ; Pollution ; Porosity ; Safety ; Samples ; Semivariogram analysis ; Soil (material) ; Soil - analysis ; Soil Microbiology ; Soil Pollutants - analysis ; Spatial variability ; State-space modeling ; Statistical analysis ; Statistical methods ; Unsaturated</subject><ispartof>Journal of hazardous materials, 2010-07, Vol.179 (1), p.573-580</ispartof><rights>2010 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>2010 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c500t-bd5ea45bad152895369d59cb0833798fb20a3efc980a5da36e85d50526b849003</citedby><cites>FETCH-LOGICAL-c500t-bd5ea45bad152895369d59cb0833798fb20a3efc980a5da36e85d50526b849003</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jhazmat.2010.03.042$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22783236$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20363074$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kristensen, Andreas H.</creatorcontrib><creatorcontrib>Poulsen, Tjalfe G.</creatorcontrib><creatorcontrib>Mortensen, Lars</creatorcontrib><creatorcontrib>Moldrup, Per</creatorcontrib><title>Variability of soil potential for biodegradation of petroleum hydrocarbons in a heterogeneous subsurface</title><title>Journal of hazardous materials</title><addtitle>J Hazard Mater</addtitle><description>Quantifying the spatial variability of factors affecting natural attenuation of hydrocarbons in the unsaturated zone is important to (i) performing a reliable risk assessment and (ii) evaluating the possibility for bioremediation of petroleum-polluted sites. Most studies to date have focused on the shallow unsaturated zone. Based on a data set comprising analysis of about 100 soil samples taken in a 16
m-deep unsaturated zone polluted with volatile petroleum compounds, we statistically and geostatistically analysed values of essential soil properties. The subsurface of the site was highly layered, resulting in an accumulation of pollution within coarse sandy lenses. Air-filled porosity, readily available phosphorous, and the first-order rate constant (
k
1) of benzene obtained from slurry biodegradation experiments were found to depend on geologic sample characterization (
P
<
0.05), while inorganic nitrogen was homogenously distributed across the soil stratigraphy. Semivariogram analysis showed a spatial continuity of 4–8.6
m in the vertical direction, while it was 2–5 times greater in the horizontal direction. Values of
k
1 displayed strong spatial autocorrelation. Even so, the soil potential for biodegradation was highly variable, which from autoregressive state-space modeling was partly explained by changes in soil air-filled porosity and gravimetric water content. The results suggest considering biological heterogeneity when evaluating the fate of contaminants in the subsurface.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Biodegradation</subject><subject>Biodegradation, Environmental</subject><subject>Biological heterogeneity</subject><subject>Chemical engineering</subject><subject>Crude oil</subject><subject>Exact sciences and technology</subject><subject>Geologic Sediments - analysis</subject><subject>Hydrocarbons</subject><subject>Hydrocarbons - analysis</subject><subject>Mathematical models</subject><subject>Models, Statistical</subject><subject>Nitrogen - analysis</subject><subject>Petroleum - analysis</subject><subject>Petroleum vapors</subject><subject>Phosphorus - analysis</subject><subject>Pollution</subject><subject>Porosity</subject><subject>Safety</subject><subject>Samples</subject><subject>Semivariogram analysis</subject><subject>Soil (material)</subject><subject>Soil - analysis</subject><subject>Soil Microbiology</subject><subject>Soil Pollutants - analysis</subject><subject>Spatial variability</subject><subject>State-space modeling</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Unsaturated</subject><issn>0304-3894</issn><issn>1873-3336</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0U2P0zAQBmALgdiy8BNAuSD2kjLxxIlzQqsVX9JKXICrNbEnW1dpXGxnpfLrSWmBG3uyZD1jv_YrxMsK1hVUzdvteruhnzvKawnLHuAaavlIrCrdYomIzWOxAoS6RN3VF-JZSlsAqFpVPxUXErBBaOuV2Hyn6Kn3o8-HIgxFCn4s9iHzlD2NxRBi0fvg-C6So-zDdER7zjGMPO-KzcHFYCn2YUqFnwoqNpw5hjueOMypSHOf5jiQ5efiyUBj4hfn9VJ8-_D-682n8vbLx88317elVQC57J1iqlVPrlJSdwqbzqnO9qAR204PvQRCHmyngZQjbFgrp0DJptd1B4CX4s3p3H0MP2ZO2ex8sjyO9DuRaRtYXt-1-LBEVBI73Szy6r-yaltAWYFSC1UnamNIKfJg9tHvKB5MBeZYnNmac3HmWJwBNEtxy9yr8xVzv2P3d-pPUwt4fQaULI1DpMn69M_JVqPEY9Z3J8fLJ997jiZZz5Nl5yPbbFzwD0T5BWvJueU</recordid><startdate>20100715</startdate><enddate>20100715</enddate><creator>Kristensen, Andreas H.</creator><creator>Poulsen, Tjalfe G.</creator><creator>Mortensen, Lars</creator><creator>Moldrup, Per</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QQ</scope><scope>7SR</scope><scope>7SU</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope><scope>7X8</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7TV</scope><scope>7U1</scope><scope>7U2</scope><scope>7U7</scope><scope>7UA</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>20100715</creationdate><title>Variability of soil potential for biodegradation of petroleum hydrocarbons in a heterogeneous subsurface</title><author>Kristensen, Andreas H. ; Poulsen, Tjalfe G. ; Mortensen, Lars ; Moldrup, Per</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c500t-bd5ea45bad152895369d59cb0833798fb20a3efc980a5da36e85d50526b849003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Biodegradation</topic><topic>Biodegradation, Environmental</topic><topic>Biological heterogeneity</topic><topic>Chemical engineering</topic><topic>Crude oil</topic><topic>Exact sciences and technology</topic><topic>Geologic Sediments - analysis</topic><topic>Hydrocarbons</topic><topic>Hydrocarbons - analysis</topic><topic>Mathematical models</topic><topic>Models, Statistical</topic><topic>Nitrogen - analysis</topic><topic>Petroleum - analysis</topic><topic>Petroleum vapors</topic><topic>Phosphorus - analysis</topic><topic>Pollution</topic><topic>Porosity</topic><topic>Safety</topic><topic>Samples</topic><topic>Semivariogram analysis</topic><topic>Soil (material)</topic><topic>Soil - analysis</topic><topic>Soil Microbiology</topic><topic>Soil Pollutants - analysis</topic><topic>Spatial variability</topic><topic>State-space modeling</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Unsaturated</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kristensen, Andreas H.</creatorcontrib><creatorcontrib>Poulsen, Tjalfe G.</creatorcontrib><creatorcontrib>Mortensen, Lars</creatorcontrib><creatorcontrib>Moldrup, Per</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ceramic Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Journal of hazardous materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kristensen, Andreas H.</au><au>Poulsen, Tjalfe G.</au><au>Mortensen, Lars</au><au>Moldrup, Per</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variability of soil potential for biodegradation of petroleum hydrocarbons in a heterogeneous subsurface</atitle><jtitle>Journal of hazardous materials</jtitle><addtitle>J Hazard Mater</addtitle><date>2010-07-15</date><risdate>2010</risdate><volume>179</volume><issue>1</issue><spage>573</spage><epage>580</epage><pages>573-580</pages><issn>0304-3894</issn><eissn>1873-3336</eissn><coden>JHMAD9</coden><abstract>Quantifying the spatial variability of factors affecting natural attenuation of hydrocarbons in the unsaturated zone is important to (i) performing a reliable risk assessment and (ii) evaluating the possibility for bioremediation of petroleum-polluted sites. Most studies to date have focused on the shallow unsaturated zone. Based on a data set comprising analysis of about 100 soil samples taken in a 16
m-deep unsaturated zone polluted with volatile petroleum compounds, we statistically and geostatistically analysed values of essential soil properties. The subsurface of the site was highly layered, resulting in an accumulation of pollution within coarse sandy lenses. Air-filled porosity, readily available phosphorous, and the first-order rate constant (
k
1) of benzene obtained from slurry biodegradation experiments were found to depend on geologic sample characterization (
P
<
0.05), while inorganic nitrogen was homogenously distributed across the soil stratigraphy. Semivariogram analysis showed a spatial continuity of 4–8.6
m in the vertical direction, while it was 2–5 times greater in the horizontal direction. Values of
k
1 displayed strong spatial autocorrelation. Even so, the soil potential for biodegradation was highly variable, which from autoregressive state-space modeling was partly explained by changes in soil air-filled porosity and gravimetric water content. The results suggest considering biological heterogeneity when evaluating the fate of contaminants in the subsurface.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><pmid>20363074</pmid><doi>10.1016/j.jhazmat.2010.03.042</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
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| ispartof | Journal of hazardous materials, 2010-07, Vol.179 (1), p.573-580 |
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| language | eng |
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| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Algorithms Applied sciences Biodegradation Biodegradation, Environmental Biological heterogeneity Chemical engineering Crude oil Exact sciences and technology Geologic Sediments - analysis Hydrocarbons Hydrocarbons - analysis Mathematical models Models, Statistical Nitrogen - analysis Petroleum - analysis Petroleum vapors Phosphorus - analysis Pollution Porosity Safety Samples Semivariogram analysis Soil (material) Soil - analysis Soil Microbiology Soil Pollutants - analysis Spatial variability State-space modeling Statistical analysis Statistical methods Unsaturated |
| title | Variability of soil potential for biodegradation of petroleum hydrocarbons in a heterogeneous subsurface |
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