Lead (Pb) quantification in potable water samples: implications for regulatory compliance and assessment of human exposure View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-02

AUTHORS

Simoni Triantafyllidou, Caroline K. Nguyen, Yan Zhang, Marc A. Edwards

ABSTRACT

Assessing the health risk from lead (Pb) in potable water requires accurate quantification of the Pb concentration. Under worst-case scenarios of highly contaminated water samples, representative of public health concerns, up to 71-98 % of the total Pb was not quantified if water samples were not mixed thoroughly after standard preservation (i.e., addition of 0.15 % (v/v) HNO(3)). Thorough mixing after standard preservation improved recovery in all samples, but 35-81 % of the total Pb was still un-quantified in some samples. Transfer of samples from one bottle to another also created high errors (40-100 % of the total Pb was un-quantified in transferred samples). Although the United States Environmental Protection Agency's standard protocol avoids most of these errors, certain methods considered EPA-equivalent allow these errors for regulatory compliance sampling. Moreover, routine monitoring for assessment of human Pb exposure in the USA has no standardized protocols for water sample handling and pre-treatment. Overall, while there is no reason to believe that sample handling and pre-treatment dramatically skew regulatory compliance with the US Pb action level, slight variations from one approved protocol to another may cause Pb-in-water health risks to be significantly underestimated, especially for unusual situations of "worst case" individual exposure to highly contaminated water. More... »

PAGES

1355-1365

References to SciGraph publications

  • 1990-07. Causes of temporal variability of lead in domestic plumbing systems in ENVIRONMENTAL MONITORING AND ASSESSMENT
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10661-012-2637-6

    DOI

    http://dx.doi.org/10.1007/s10661-012-2637-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1025119490

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/22552494


    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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Drinking Water", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Environmental Exposure", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Environmental Monitoring", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Environmental Policy", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Guideline Adherence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lead", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Public Health", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "United States", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "United States Environmental Protection Agency", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Water Pollutants, Chemical", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Water Pollution", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Virginia Tech", 
              "id": "https://www.grid.ac/institutes/grid.438526.e", 
              "name": [
                "Civil and Environmental Engineering Department, Virginia Tech, 418 Durham Hall, 24061, Blacksburg, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Triantafyllidou", 
            "givenName": "Simoni", 
            "id": "sg:person.0756072122.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756072122.27"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Virginia Tech", 
              "id": "https://www.grid.ac/institutes/grid.438526.e", 
              "name": [
                "Civil and Environmental Engineering Department, Virginia Tech, 418 Durham Hall, 24061, Blacksburg, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nguyen", 
            "givenName": "Caroline K.", 
            "id": "sg:person.0707440263.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707440263.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Long Beach Water Department, 2950 Redondo Avenue, 90806, Long Beach, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Yan", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Virginia Tech", 
              "id": "https://www.grid.ac/institutes/grid.438526.e", 
              "name": [
                "Civil and Environmental Engineering Department, Virginia Tech, 418 Durham Hall, 24061, Blacksburg, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Edwards", 
            "givenName": "Marc A.", 
            "id": "sg:person.0723265654.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723265654.53"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf00454749", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000081711", 
              "https://doi.org/10.1007/bf00454749"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00454749", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000081711", 
              "https://doi.org/10.1007/bf00454749"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10643389.2011.556556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019523870"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.watres.2010.04.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021555147"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.envres.2010.10.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033834874"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1289/ehp.8722", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040459267"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1289/ehp.11241", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041922955"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ed081p214", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055467960"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es1015185", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055501806"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es1015185", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055501806"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es802482s", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055515556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es802482s", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055515556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es802789w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055515658"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es802789w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055515658"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2105/ajph.56.3.387", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068864381"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2166/ws.2010.173", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069140019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1076818631", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/j.1551-8833.2007.tb07959.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101176163"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/j.1551-8833.2011.tb11420.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101177963"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/j.1551-8833.1993.tb06030.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101182328"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/j.1551-8833.2011.tb11535.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101186999"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013-02", 
        "datePublishedReg": "2013-02-01", 
        "description": "Assessing the health risk from lead (Pb) in potable water requires accurate quantification of the Pb concentration. Under worst-case scenarios of highly contaminated water samples, representative of public health concerns, up to 71-98 % of the total Pb was not quantified if water samples were not mixed thoroughly after standard preservation (i.e., addition of 0.15 % (v/v) HNO(3)). Thorough mixing after standard preservation improved recovery in all samples, but 35-81 % of the total Pb was still un-quantified in some samples. Transfer of samples from one bottle to another also created high errors (40-100 % of the total Pb was un-quantified in transferred samples). Although the United States Environmental Protection Agency's standard protocol avoids most of these errors, certain methods considered EPA-equivalent allow these errors for regulatory compliance sampling. Moreover, routine monitoring for assessment of human Pb exposure in the USA has no standardized protocols for water sample handling and pre-treatment. Overall, while there is no reason to believe that sample handling and pre-treatment dramatically skew regulatory compliance with the US Pb action level, slight variations from one approved protocol to another may cause Pb-in-water health risks to be significantly underestimated, especially for unusual situations of \"worst case\" individual exposure to highly contaminated water.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10661-012-2637-6", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3105935", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1095684", 
            "issn": [
              "0167-6369", 
              "1573-2959"
            ], 
            "name": "Environmental Monitoring and Assessment", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "185"
          }
        ], 
        "name": "Lead (Pb) quantification in potable water samples: implications for regulatory compliance and assessment of human exposure", 
        "pagination": "1355-1365", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "77ab737dcc09cd4b6f59d0d8144de78d3f5d9a6788d2ca3d606cdac46ae6cad4"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "22552494"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "8508350"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10661-012-2637-6"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1025119490"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10661-012-2637-6", 
          "https://app.dimensions.ai/details/publication/pub.1025119490"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T14:09", 
        "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_00000512.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs10661-012-2637-6"
      }
    ]
     

    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/s10661-012-2637-6'

    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/s10661-012-2637-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10661-012-2637-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10661-012-2637-6'


     

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

    192 TRIPLES      21 PREDICATES      58 URIs      33 LITERALS      21 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10661-012-2637-6 schema:about N0cd09eb08a2b4a0b9e010abe504e8fd0
    2 N2eb1243df3844a2eaf5b290fb17568a6
    3 N324f5186b0bc4282822bc66fea6f18a0
    4 N4cabf40899fb4dc08475fed2c07868d7
    5 N4d55aa27a47a40f080549c93a3699e67
    6 N510e47781b3641d0b0e2fd2e9e7214cb
    7 N9755dc912fd64f1f98feaf9949f91945
    8 Naf42abb44b1d4d25a874a2dbae813775
    9 Nb15a03e37a124ea4b43d19e2e1f16e6d
    10 Nc437f0312c454129a5d9d6301a5a1cc9
    11 Nde38a16795714e188b4b70617c9c2f47
    12 Nfa78e61b9bca467688d6c09450791001
    13 anzsrc-for:09
    14 anzsrc-for:0907
    15 schema:author N4ac9dd3afbc048e9bb95d6e8423ff218
    16 schema:citation sg:pub.10.1007/bf00454749
    17 https://app.dimensions.ai/details/publication/pub.1076818631
    18 https://doi.org/10.1002/j.1551-8833.1993.tb06030.x
    19 https://doi.org/10.1002/j.1551-8833.2007.tb07959.x
    20 https://doi.org/10.1002/j.1551-8833.2011.tb11420.x
    21 https://doi.org/10.1002/j.1551-8833.2011.tb11535.x
    22 https://doi.org/10.1016/j.envres.2010.10.003
    23 https://doi.org/10.1016/j.watres.2010.04.019
    24 https://doi.org/10.1021/ed081p214
    25 https://doi.org/10.1021/es1015185
    26 https://doi.org/10.1021/es802482s
    27 https://doi.org/10.1021/es802789w
    28 https://doi.org/10.1080/10643389.2011.556556
    29 https://doi.org/10.1289/ehp.11241
    30 https://doi.org/10.1289/ehp.8722
    31 https://doi.org/10.2105/ajph.56.3.387
    32 https://doi.org/10.2166/ws.2010.173
    33 schema:datePublished 2013-02
    34 schema:datePublishedReg 2013-02-01
    35 schema:description Assessing the health risk from lead (Pb) in potable water requires accurate quantification of the Pb concentration. Under worst-case scenarios of highly contaminated water samples, representative of public health concerns, up to 71-98 % of the total Pb was not quantified if water samples were not mixed thoroughly after standard preservation (i.e., addition of 0.15 % (v/v) HNO(3)). Thorough mixing after standard preservation improved recovery in all samples, but 35-81 % of the total Pb was still un-quantified in some samples. Transfer of samples from one bottle to another also created high errors (40-100 % of the total Pb was un-quantified in transferred samples). Although the United States Environmental Protection Agency's standard protocol avoids most of these errors, certain methods considered EPA-equivalent allow these errors for regulatory compliance sampling. Moreover, routine monitoring for assessment of human Pb exposure in the USA has no standardized protocols for water sample handling and pre-treatment. Overall, while there is no reason to believe that sample handling and pre-treatment dramatically skew regulatory compliance with the US Pb action level, slight variations from one approved protocol to another may cause Pb-in-water health risks to be significantly underestimated, especially for unusual situations of "worst case" individual exposure to highly contaminated water.
    36 schema:genre research_article
    37 schema:inLanguage en
    38 schema:isAccessibleForFree false
    39 schema:isPartOf Nf0a6fd6baaf5441e9cf86705194e1871
    40 Nf70cab8b05de4b93816443bd32c79c37
    41 sg:journal.1095684
    42 schema:name Lead (Pb) quantification in potable water samples: implications for regulatory compliance and assessment of human exposure
    43 schema:pagination 1355-1365
    44 schema:productId N3c6556a6023e44c48490cb915ab64e42
    45 Na87f65b01d6f40c5b316a39ddb20fa4d
    46 Nad4775b5bb034c8cb4437e6434cec3e3
    47 Ndb523b79a4344944bbf3112c896c1745
    48 Nddd1ccab3e834636ad27435afeafce49
    49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025119490
    50 https://doi.org/10.1007/s10661-012-2637-6
    51 schema:sdDatePublished 2019-04-10T14:09
    52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    53 schema:sdPublisher Nf634d68d1b49429f83e6bd07cc20cd29
    54 schema:url http://link.springer.com/10.1007%2Fs10661-012-2637-6
    55 sgo:license sg:explorer/license/
    56 sgo:sdDataset articles
    57 rdf:type schema:ScholarlyArticle
    58 N0cd09eb08a2b4a0b9e010abe504e8fd0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    59 schema:name Environmental Policy
    60 rdf:type schema:DefinedTerm
    61 N2eb1243df3844a2eaf5b290fb17568a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    62 schema:name Environmental Exposure
    63 rdf:type schema:DefinedTerm
    64 N324f5186b0bc4282822bc66fea6f18a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    65 schema:name Water Pollution
    66 rdf:type schema:DefinedTerm
    67 N3c6556a6023e44c48490cb915ab64e42 schema:name doi
    68 schema:value 10.1007/s10661-012-2637-6
    69 rdf:type schema:PropertyValue
    70 N4ac9dd3afbc048e9bb95d6e8423ff218 rdf:first sg:person.0756072122.27
    71 rdf:rest Nd6c296ffb00c476497ab55bc0e4615f4
    72 N4ba569dc991d49ce909ff0aab57bc70a schema:name Long Beach Water Department, 2950 Redondo Avenue, 90806, Long Beach, CA, USA
    73 rdf:type schema:Organization
    74 N4cabf40899fb4dc08475fed2c07868d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    75 schema:name Water Pollutants, Chemical
    76 rdf:type schema:DefinedTerm
    77 N4d55aa27a47a40f080549c93a3699e67 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    78 schema:name Lead
    79 rdf:type schema:DefinedTerm
    80 N510e47781b3641d0b0e2fd2e9e7214cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    81 schema:name Environmental Monitoring
    82 rdf:type schema:DefinedTerm
    83 N7af908b657624d94910d963ab311cef3 rdf:first sg:person.0723265654.53
    84 rdf:rest rdf:nil
    85 N9755dc912fd64f1f98feaf9949f91945 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    86 schema:name Public Health
    87 rdf:type schema:DefinedTerm
    88 Na87f65b01d6f40c5b316a39ddb20fa4d schema:name pubmed_id
    89 schema:value 22552494
    90 rdf:type schema:PropertyValue
    91 Nad4775b5bb034c8cb4437e6434cec3e3 schema:name readcube_id
    92 schema:value 77ab737dcc09cd4b6f59d0d8144de78d3f5d9a6788d2ca3d606cdac46ae6cad4
    93 rdf:type schema:PropertyValue
    94 Naf42abb44b1d4d25a874a2dbae813775 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    95 schema:name United States
    96 rdf:type schema:DefinedTerm
    97 Nb15a03e37a124ea4b43d19e2e1f16e6d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    98 schema:name United States Environmental Protection Agency
    99 rdf:type schema:DefinedTerm
    100 Nbbfc4d187e804e95970086afb680de57 rdf:first Nbd53b9cce02f49c499a4fdc8b08fd085
    101 rdf:rest N7af908b657624d94910d963ab311cef3
    102 Nbd53b9cce02f49c499a4fdc8b08fd085 schema:affiliation N4ba569dc991d49ce909ff0aab57bc70a
    103 schema:familyName Zhang
    104 schema:givenName Yan
    105 rdf:type schema:Person
    106 Nc437f0312c454129a5d9d6301a5a1cc9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    107 schema:name Humans
    108 rdf:type schema:DefinedTerm
    109 Nd6c296ffb00c476497ab55bc0e4615f4 rdf:first sg:person.0707440263.38
    110 rdf:rest Nbbfc4d187e804e95970086afb680de57
    111 Ndb523b79a4344944bbf3112c896c1745 schema:name dimensions_id
    112 schema:value pub.1025119490
    113 rdf:type schema:PropertyValue
    114 Nddd1ccab3e834636ad27435afeafce49 schema:name nlm_unique_id
    115 schema:value 8508350
    116 rdf:type schema:PropertyValue
    117 Nde38a16795714e188b4b70617c9c2f47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    118 schema:name Guideline Adherence
    119 rdf:type schema:DefinedTerm
    120 Nf0a6fd6baaf5441e9cf86705194e1871 schema:volumeNumber 185
    121 rdf:type schema:PublicationVolume
    122 Nf634d68d1b49429f83e6bd07cc20cd29 schema:name Springer Nature - SN SciGraph project
    123 rdf:type schema:Organization
    124 Nf70cab8b05de4b93816443bd32c79c37 schema:issueNumber 2
    125 rdf:type schema:PublicationIssue
    126 Nfa78e61b9bca467688d6c09450791001 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    127 schema:name Drinking Water
    128 rdf:type schema:DefinedTerm
    129 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    130 schema:name Engineering
    131 rdf:type schema:DefinedTerm
    132 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
    133 schema:name Environmental Engineering
    134 rdf:type schema:DefinedTerm
    135 sg:grant.3105935 http://pending.schema.org/fundedItem sg:pub.10.1007/s10661-012-2637-6
    136 rdf:type schema:MonetaryGrant
    137 sg:journal.1095684 schema:issn 0167-6369
    138 1573-2959
    139 schema:name Environmental Monitoring and Assessment
    140 rdf:type schema:Periodical
    141 sg:person.0707440263.38 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
    142 schema:familyName Nguyen
    143 schema:givenName Caroline K.
    144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707440263.38
    145 rdf:type schema:Person
    146 sg:person.0723265654.53 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
    147 schema:familyName Edwards
    148 schema:givenName Marc A.
    149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723265654.53
    150 rdf:type schema:Person
    151 sg:person.0756072122.27 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
    152 schema:familyName Triantafyllidou
    153 schema:givenName Simoni
    154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756072122.27
    155 rdf:type schema:Person
    156 sg:pub.10.1007/bf00454749 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000081711
    157 https://doi.org/10.1007/bf00454749
    158 rdf:type schema:CreativeWork
    159 https://app.dimensions.ai/details/publication/pub.1076818631 schema:CreativeWork
    160 https://doi.org/10.1002/j.1551-8833.1993.tb06030.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1101182328
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1002/j.1551-8833.2007.tb07959.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1101176163
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1002/j.1551-8833.2011.tb11420.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1101177963
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1002/j.1551-8833.2011.tb11535.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1101186999
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1016/j.envres.2010.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033834874
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1016/j.watres.2010.04.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021555147
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1021/ed081p214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055467960
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1021/es1015185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055501806
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1021/es802482s schema:sameAs https://app.dimensions.ai/details/publication/pub.1055515556
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1021/es802789w schema:sameAs https://app.dimensions.ai/details/publication/pub.1055515658
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1080/10643389.2011.556556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019523870
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1289/ehp.11241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041922955
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1289/ehp.8722 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040459267
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.2105/ajph.56.3.387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068864381
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.2166/ws.2010.173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069140019
    189 rdf:type schema:CreativeWork
    190 https://www.grid.ac/institutes/grid.438526.e schema:alternateName Virginia Tech
    191 schema:name Civil and Environmental Engineering Department, Virginia Tech, 418 Durham Hall, 24061, Blacksburg, VA, USA
    192 rdf:type schema:Organization
     




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


    ...