Evaluation of treatment options for well water contaminated with perfluorinated alkyl substances using life cycle assessment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01

AUTHORS

Isaac Emery, David Kempisty, Brittany Fain, Eric Mbonimpa

ABSTRACT

As knowledge grows of the potentially harmful effects of chemicals in widespread use, emerging contaminants have become a major source of concern and uncertainty for public health officials and water quality managers. Perfluorinated alkyl substances, often referred to as perfluorinated compounds, have come under recent scrutiny and are present in groundwater at many sites across the USA. We examine the life cycle impacts of treating drinking water at one such site. We assembled life cycle models for groundwater treatment and bottled water delivery to residents of Wright-Patterson Air Force Base, Ohio, where wells were recently taken out of service due to concerns related to perfluoroalkyl and polyfluoroalkyl substance (PFAS) contamination. Two treatment methods, granular activated carbon filtration and ion-exchange columns, were modeled under a range of contaminant concentrations covering three orders of magnitude: 0.7, 7.0, and 70 μg/L PFAS. On-site infrastructure, operations, and adsorbent cycling were included in models. Impacts of bottled water production and supply were assessed using two data sets reflecting a range of production and supply chain assumptions. Uncertainty in input data was captured using Monte Carlo simulations. Results show that for contaminant concentrations below 70 μg/L, the dominant contributor to life cycle impacts is electricity use at the treatment facility. Production, reactivation, and disposal of treatment media become major sources of impact only at very high PFAS concentrations. Though the life cycle impacts of bottled water are up to three orders of magnitude higher than remediated groundwater on a volumetric basis, supplementing a contaminated water supply with bottled drinking water may result in lower life cycle human health impacts when only a small proportion of the total population is vulnerable. These results provide quantitative data and proposed scenarios for water quality managers and risk management officials in developing plans to address PFAS contamination and emerging contaminants in general. However, more information on the direct human health effects of these poorly understood pollutants is needed before the trade-offs in life cycle health impacts can be comprehensively assessed. More... »

PAGES

1-12

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11367-018-1499-8

DOI

http://dx.doi.org/10.1007/s11367-018-1499-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105562603


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0907", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Air Force Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.427848.5", 
          "name": [
            "Department of Systems Engineering and Management, Air Force Institute of Technology, 2950 Hobson Way, 45433-7765, Wright-Patterson AFB, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Emery", 
        "givenName": "Isaac", 
        "id": "sg:person.01276551614.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276551614.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "North American Aerospace Defense Command and U.S. Northern Command, Command Surgeon\u2019s Directorate, 250 Vandesberg St., 80314-3898, Peterson AFB, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kempisty", 
        "givenName": "David", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "United States Air Force", 
          "id": "https://www.grid.ac/institutes/grid.453002.0", 
          "name": [
            "Special Operations Aerospace Medicine Squadron, United States Air Force, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fain", 
        "givenName": "Brittany", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Air Force Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.427848.5", 
          "name": [
            "Department of Systems Engineering and Management, Air Force Institute of Technology, 2950 Hobson Way, 45433-7765, Wright-Patterson AFB, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mbonimpa", 
        "givenName": "Eric", 
        "id": "sg:person.01110503373.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110503373.37"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2013.06.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001015862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1748-9326/4/1/014009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001950598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclepro.2014.11.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005617139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es301465n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007747792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rser.2014.10.082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008083570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1065/lca2006.02.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009523702", 
          "https://doi.org/10.1065/lca2006.02.002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2016.01.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009793945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2016.12.057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012605357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11367-012-0489-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017469286", 
          "https://doi.org/10.1007/s11367-012-0489-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2013.10.067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020295269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jconhyd.2005.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021432316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4615-3282-8_36", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021744594", 
          "https://doi.org/10.1007/978-1-4615-3282-8_36"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2013.12.115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023485067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclepro.2016.07.218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025901161"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1897/2004-007r.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032004271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1897/2004-007r.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032004271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2013.10.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033558939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/ees.2016.0233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042321516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2014.09.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051715444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1312753111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051916691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es991359u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053279064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es991359u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053279064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es071174k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055500730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es071174k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055500730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es703062f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055514587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es703062f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055514587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es901246d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055516482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es901246d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055516482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1048291115590506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063928136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1048291115590506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063928136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.est.6b05843", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079395007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.est.6b05005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079396416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.estlett.6b00435", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083426574"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-01", 
    "datePublishedReg": "2019-01-01", 
    "description": "As knowledge grows of the potentially harmful effects of chemicals in widespread use, emerging contaminants have become a major source of concern and uncertainty for public health officials and water quality managers. Perfluorinated alkyl substances, often referred to as perfluorinated compounds, have come under recent scrutiny and are present in groundwater at many sites across the USA. We examine the life cycle impacts of treating drinking water at one such site. We assembled life cycle models for groundwater treatment and bottled water delivery to residents of Wright-Patterson Air Force Base, Ohio, where wells were recently taken out of service due to concerns related to perfluoroalkyl and polyfluoroalkyl substance (PFAS) contamination. Two treatment methods, granular activated carbon filtration and ion-exchange columns, were modeled under a range of contaminant concentrations covering three orders of magnitude: 0.7, 7.0, and 70 \u03bcg/L PFAS. On-site infrastructure, operations, and adsorbent cycling were included in models. Impacts of bottled water production and supply were assessed using two data sets reflecting a range of production and supply chain assumptions. Uncertainty in input data was captured using Monte Carlo simulations. Results show that for contaminant concentrations below 70 \u03bcg/L, the dominant contributor to life cycle impacts is electricity use at the treatment facility. Production, reactivation, and disposal of treatment media become major sources of impact only at very high PFAS concentrations. Though the life cycle impacts of bottled water are up to three orders of magnitude higher than remediated groundwater on a volumetric basis, supplementing a contaminated water supply with bottled drinking water may result in lower life cycle human health impacts when only a small proportion of the total population is vulnerable. These results provide quantitative data and proposed scenarios for water quality managers and risk management officials in developing plans to address PFAS contamination and emerging contaminants in general. However, more information on the direct human health effects of these poorly understood pollutants is needed before the trade-offs in life cycle health impacts can be comprehensively assessed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11367-018-1499-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1051923", 
        "issn": [
          "0948-3349", 
          "1614-7502"
        ], 
        "name": "The International Journal of Life Cycle Assessment", 
        "type": "Periodical"
      }
    ], 
    "name": "Evaluation of treatment options for well water contaminated with perfluorinated alkyl substances using life cycle assessment", 
    "pagination": "1-12", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "037a942c321589f997bace21bb00f31d9ac9cc8091cdf7ec8549f70b3639e5d0"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11367-018-1499-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105562603"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11367-018-1499-8", 
      "https://app.dimensions.ai/details/publication/pub.1105562603"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8660_00000604.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11367-018-1499-8"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11367-018-1499-8'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11367-018-1499-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11367-018-1499-8'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11367-018-1499-8'


 

This table displays all metadata directly associated to this object as RDF triples.

163 TRIPLES      21 PREDICATES      52 URIs      17 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11367-018-1499-8 schema:about anzsrc-for:09
2 anzsrc-for:0907
3 schema:author N4002df9f103b4209927a2032195b376c
4 schema:citation sg:pub.10.1007/978-1-4615-3282-8_36
5 sg:pub.10.1007/s11367-012-0489-5
6 sg:pub.10.1065/lca2006.02.002
7 https://doi.org/10.1016/j.chemosphere.2014.09.005
8 https://doi.org/10.1016/j.chemosphere.2016.01.014
9 https://doi.org/10.1016/j.chemosphere.2016.12.057
10 https://doi.org/10.1016/j.jclepro.2014.11.017
11 https://doi.org/10.1016/j.jclepro.2016.07.218
12 https://doi.org/10.1016/j.jconhyd.2005.11.005
13 https://doi.org/10.1016/j.jhazmat.2013.06.033
14 https://doi.org/10.1016/j.rser.2014.10.082
15 https://doi.org/10.1016/j.scitotenv.2013.12.115
16 https://doi.org/10.1016/j.watres.2013.10.045
17 https://doi.org/10.1016/j.watres.2013.10.067
18 https://doi.org/10.1021/acs.est.6b05005
19 https://doi.org/10.1021/acs.est.6b05843
20 https://doi.org/10.1021/acs.estlett.6b00435
21 https://doi.org/10.1021/es071174k
22 https://doi.org/10.1021/es301465n
23 https://doi.org/10.1021/es703062f
24 https://doi.org/10.1021/es901246d
25 https://doi.org/10.1021/es991359u
26 https://doi.org/10.1073/pnas.1312753111
27 https://doi.org/10.1088/1748-9326/4/1/014009
28 https://doi.org/10.1089/ees.2016.0233
29 https://doi.org/10.1177/1048291115590506
30 https://doi.org/10.1897/2004-007r.1
31 schema:datePublished 2019-01
32 schema:datePublishedReg 2019-01-01
33 schema:description As knowledge grows of the potentially harmful effects of chemicals in widespread use, emerging contaminants have become a major source of concern and uncertainty for public health officials and water quality managers. Perfluorinated alkyl substances, often referred to as perfluorinated compounds, have come under recent scrutiny and are present in groundwater at many sites across the USA. We examine the life cycle impacts of treating drinking water at one such site. We assembled life cycle models for groundwater treatment and bottled water delivery to residents of Wright-Patterson Air Force Base, Ohio, where wells were recently taken out of service due to concerns related to perfluoroalkyl and polyfluoroalkyl substance (PFAS) contamination. Two treatment methods, granular activated carbon filtration and ion-exchange columns, were modeled under a range of contaminant concentrations covering three orders of magnitude: 0.7, 7.0, and 70 μg/L PFAS. On-site infrastructure, operations, and adsorbent cycling were included in models. Impacts of bottled water production and supply were assessed using two data sets reflecting a range of production and supply chain assumptions. Uncertainty in input data was captured using Monte Carlo simulations. Results show that for contaminant concentrations below 70 μg/L, the dominant contributor to life cycle impacts is electricity use at the treatment facility. Production, reactivation, and disposal of treatment media become major sources of impact only at very high PFAS concentrations. Though the life cycle impacts of bottled water are up to three orders of magnitude higher than remediated groundwater on a volumetric basis, supplementing a contaminated water supply with bottled drinking water may result in lower life cycle human health impacts when only a small proportion of the total population is vulnerable. These results provide quantitative data and proposed scenarios for water quality managers and risk management officials in developing plans to address PFAS contamination and emerging contaminants in general. However, more information on the direct human health effects of these poorly understood pollutants is needed before the trade-offs in life cycle health impacts can be comprehensively assessed.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree false
37 schema:isPartOf sg:journal.1051923
38 schema:name Evaluation of treatment options for well water contaminated with perfluorinated alkyl substances using life cycle assessment
39 schema:pagination 1-12
40 schema:productId N3b722e5b1e9e4ac7a02936d5fc8acb70
41 N48eea4da5729491886b0bdfef3411159
42 Nf5a2844d1c2049eaa5d7f36ea71f1770
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105562603
44 https://doi.org/10.1007/s11367-018-1499-8
45 schema:sdDatePublished 2019-04-10T14:24
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N9e8cee0195c24ef38f7ac60b6231934b
48 schema:url https://link.springer.com/10.1007%2Fs11367-018-1499-8
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N12cdfb804ffd45caa56cb44a5a070ec6 rdf:first Nfe0e534c245f4936867d356bbcc33dc8
53 rdf:rest Nd53af7a22e014128b250c9a119b3fd97
54 N3b722e5b1e9e4ac7a02936d5fc8acb70 schema:name dimensions_id
55 schema:value pub.1105562603
56 rdf:type schema:PropertyValue
57 N4002df9f103b4209927a2032195b376c rdf:first sg:person.01276551614.05
58 rdf:rest N6f4738f0991b498ea671508e7dcc553e
59 N48eea4da5729491886b0bdfef3411159 schema:name readcube_id
60 schema:value 037a942c321589f997bace21bb00f31d9ac9cc8091cdf7ec8549f70b3639e5d0
61 rdf:type schema:PropertyValue
62 N6f4738f0991b498ea671508e7dcc553e rdf:first N80a98596f32d4aeb94e584b6f6e18433
63 rdf:rest N12cdfb804ffd45caa56cb44a5a070ec6
64 N80a98596f32d4aeb94e584b6f6e18433 schema:affiliation Nf88d2143711b4964b70ea886078ae652
65 schema:familyName Kempisty
66 schema:givenName David
67 rdf:type schema:Person
68 N9e8cee0195c24ef38f7ac60b6231934b schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 Nd53af7a22e014128b250c9a119b3fd97 rdf:first sg:person.01110503373.37
71 rdf:rest rdf:nil
72 Nf5a2844d1c2049eaa5d7f36ea71f1770 schema:name doi
73 schema:value 10.1007/s11367-018-1499-8
74 rdf:type schema:PropertyValue
75 Nf88d2143711b4964b70ea886078ae652 schema:name North American Aerospace Defense Command and U.S. Northern Command, Command Surgeon’s Directorate, 250 Vandesberg St., 80314-3898, Peterson AFB, CO, USA
76 rdf:type schema:Organization
77 Nfe0e534c245f4936867d356bbcc33dc8 schema:affiliation https://www.grid.ac/institutes/grid.453002.0
78 schema:familyName Fain
79 schema:givenName Brittany
80 rdf:type schema:Person
81 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
82 schema:name Engineering
83 rdf:type schema:DefinedTerm
84 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
85 schema:name Environmental Engineering
86 rdf:type schema:DefinedTerm
87 sg:journal.1051923 schema:issn 0948-3349
88 1614-7502
89 schema:name The International Journal of Life Cycle Assessment
90 rdf:type schema:Periodical
91 sg:person.01110503373.37 schema:affiliation https://www.grid.ac/institutes/grid.427848.5
92 schema:familyName Mbonimpa
93 schema:givenName Eric
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110503373.37
95 rdf:type schema:Person
96 sg:person.01276551614.05 schema:affiliation https://www.grid.ac/institutes/grid.427848.5
97 schema:familyName Emery
98 schema:givenName Isaac
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276551614.05
100 rdf:type schema:Person
101 sg:pub.10.1007/978-1-4615-3282-8_36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021744594
102 https://doi.org/10.1007/978-1-4615-3282-8_36
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/s11367-012-0489-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017469286
105 https://doi.org/10.1007/s11367-012-0489-5
106 rdf:type schema:CreativeWork
107 sg:pub.10.1065/lca2006.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009523702
108 https://doi.org/10.1065/lca2006.02.002
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/j.chemosphere.2014.09.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051715444
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.chemosphere.2016.01.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009793945
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.chemosphere.2016.12.057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012605357
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/j.jclepro.2014.11.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005617139
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.jclepro.2016.07.218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025901161
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.jconhyd.2005.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021432316
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.jhazmat.2013.06.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001015862
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.rser.2014.10.082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008083570
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.scitotenv.2013.12.115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023485067
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.watres.2013.10.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033558939
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.watres.2013.10.067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020295269
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1021/acs.est.6b05005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079396416
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1021/acs.est.6b05843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079395007
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1021/acs.estlett.6b00435 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083426574
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1021/es071174k schema:sameAs https://app.dimensions.ai/details/publication/pub.1055500730
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1021/es301465n schema:sameAs https://app.dimensions.ai/details/publication/pub.1007747792
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1021/es703062f schema:sameAs https://app.dimensions.ai/details/publication/pub.1055514587
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1021/es901246d schema:sameAs https://app.dimensions.ai/details/publication/pub.1055516482
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1021/es991359u schema:sameAs https://app.dimensions.ai/details/publication/pub.1053279064
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1073/pnas.1312753111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051916691
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1088/1748-9326/4/1/014009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001950598
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1089/ees.2016.0233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042321516
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1177/1048291115590506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063928136
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1897/2004-007r.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032004271
157 rdf:type schema:CreativeWork
158 https://www.grid.ac/institutes/grid.427848.5 schema:alternateName Air Force Institute of Technology
159 schema:name Department of Systems Engineering and Management, Air Force Institute of Technology, 2950 Hobson Way, 45433-7765, Wright-Patterson AFB, OH, USA
160 rdf:type schema:Organization
161 https://www.grid.ac/institutes/grid.453002.0 schema:alternateName United States Air Force
162 schema:name Special Operations Aerospace Medicine Squadron, United States Air Force, Washington, DC, USA
163 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...