Environmental capacity of petroleum hydrocarbon pollutants in Jiaozhou Bay, China: Modeling and calculation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-03

AUTHORS

Keqiang Li, Ying Su, Jun Ying, Xiulin Wang, Jinbo Mu

ABSTRACT

An environmental capacity model for the petroleum hydrocarbon pollutions (PHs) in Jiaozhou Bay is constructed based on field surveys, mesocosm, and parallel laboratory experiments. Simulated results of PHs seasonal successions in 2003 match the field surveys of Jiaozhou Bay resaonably well with a highest value in July. The Monte Carlo analysis confirms that the variation of PHs concentration significantly correlates with the river input. The water body in the bay is reasonably subjected to self-purification processes, such as volatilization to the atmosphere, biodegradation by microorganism, and transport to the Yellow Sea by water exchange. The environmental capacity of PHs in Jiaozhou Bay is 1500 tons per year IF the seawater quality criterion (Grade I/II, 0.05 mgL−1) in the region is to be satisfied. The contribution to self-purification by volatilization, biodegradation, and transport to the Yellow Sea accounts for 48%, 28%, and 23%, respectively, which make these three processes the main ways of PHs purification in Jiaozhou Bay. More... »

PAGES

70-76

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11802-011-1969-3

DOI

http://dx.doi.org/10.1007/s11802-011-1969-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1026275179


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/2008/0502", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Science and Management", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Ocean University of China", 
          "id": "https://www.grid.ac/institutes/grid.4422.0", 
          "name": [
            "College of Chemistry and Chemical Engineering, Ocean University of China, 266100, Qingdao, P. R. China", 
            "Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, 266100, Qingdao, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Keqiang", 
        "id": "sg:person.01206250344.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206250344.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ocean University of China", 
          "id": "https://www.grid.ac/institutes/grid.4422.0", 
          "name": [
            "College of Chemistry and Chemical Engineering, Ocean University of China, 266100, Qingdao, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Su", 
        "givenName": "Ying", 
        "id": "sg:person.013654423040.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013654423040.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shandong Entry-Exit Inspection and Quarantine Bureau", 
          "id": "https://www.grid.ac/institutes/grid.488174.6", 
          "name": [
            "Shandong Entry-Exit Inspection and Quarantine Bureau, 266001, Qingdao, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ying", 
        "givenName": "Jun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ocean University of China", 
          "id": "https://www.grid.ac/institutes/grid.4422.0", 
          "name": [
            "College of Chemistry and Chemical Engineering, Ocean University of China, 266100, Qingdao, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xiulin", 
        "id": "sg:person.0577376104.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577376104.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shandong Academy of Environmental Science", 
          "id": "https://www.grid.ac/institutes/grid.495494.1", 
          "name": [
            "Shandong Academy of Environmental Science, 250013, Jinan, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mu", 
        "givenName": "Jinbo", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1579/0044-7447-33.1.107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002334222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecss.2009.10.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002424190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1070363210130086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004896670", 
          "https://doi.org/10.1134/s1070363210130086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11268-005-0039-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008666693", 
          "https://doi.org/10.1007/s11268-005-0039-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11268-005-0039-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008666693", 
          "https://doi.org/10.1007/s11268-005-0039-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.marpolbul.2003.10.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009697101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecss.2004.04.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010508968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1010-6030(02)00397-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011506568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1010-6030(02)00397-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011506568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011849757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/hess-8-170-2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013401762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/hess-8-170-2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013401762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/etc.5620120506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017562436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/etc.5620120506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017562436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecss.2009.12.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018379813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11184-005-0095-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020409093", 
          "https://doi.org/10.1007/s11184-005-0095-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11184-005-0095-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020409093", 
          "https://doi.org/10.1007/s11184-005-0095-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.marpolbul.2010.12.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026038142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00717698", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026543194", 
          "https://doi.org/10.1007/bf00717698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02901748", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032543578", 
          "https://doi.org/10.1007/bf02901748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02901748", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032543578", 
          "https://doi.org/10.1007/bf02901748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1364-8152(00)00031-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041201497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3800(00)00219-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044237907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0045-6535(03)00445-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044996707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0045-6535(03)00445-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044996707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1015550921829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045769128", 
          "https://doi.org/10.1023/a:1015550921829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002449900376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046367883", 
          "https://doi.org/10.1007/s002449900376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0025-326x(99)00017-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049607055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es00149a011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055491318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3184/007967401103165262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071111376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3184/007967401103165262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071111376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3184/007967401103165262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071111376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2175/wer.65.7.6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102024659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2175/wer.65.7.6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102024659"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-03", 
    "datePublishedReg": "2013-03-01", 
    "description": "An environmental capacity model for the petroleum hydrocarbon pollutions (PHs) in Jiaozhou Bay is constructed based on field surveys, mesocosm, and parallel laboratory experiments. Simulated results of PHs seasonal successions in 2003 match the field surveys of Jiaozhou Bay resaonably well with a highest value in July. The Monte Carlo analysis confirms that the variation of PHs concentration significantly correlates with the river input. The water body in the bay is reasonably subjected to self-purification processes, such as volatilization to the atmosphere, biodegradation by microorganism, and transport to the Yellow Sea by water exchange. The environmental capacity of PHs in Jiaozhou Bay is 1500 tons per year IF the seawater quality criterion (Grade I/II, 0.05 mgL\u22121) in the region is to be satisfied. The contribution to self-purification by volatilization, biodegradation, and transport to the Yellow Sea accounts for 48%, 28%, and 23%, respectively, which make these three processes the main ways of PHs purification in Jiaozhou Bay.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11802-011-1969-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1034099", 
        "issn": [
          "1672-5182", 
          "1993-5021"
        ], 
        "name": "Journal of Ocean University of China", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Environmental capacity of petroleum hydrocarbon pollutants in Jiaozhou Bay, China: Modeling and calculation", 
    "pagination": "70-76", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7d2c13e83cf8c9fbccba446ca4662fe697e477a55a04d3f9c287cb1bc75fb4dd"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11802-011-1969-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1026275179"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11802-011-1969-3", 
      "https://app.dimensions.ai/details/publication/pub.1026275179"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:34", 
    "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_8672_00000522.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11802-011-1969-3"
  }
]
 

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/s11802-011-1969-3'

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/s11802-011-1969-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11802-011-1969-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11802-011-1969-3'


 

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

173 TRIPLES      21 PREDICATES      51 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11802-011-1969-3 schema:about anzsrc-for:05
2 anzsrc-for:0502
3 schema:author N4c18679e0805476082c4ba7ffe0b8476
4 schema:citation sg:pub.10.1007/bf00717698
5 sg:pub.10.1007/bf02901748
6 sg:pub.10.1007/s002449900376
7 sg:pub.10.1007/s11184-005-0095-x
8 sg:pub.10.1007/s11268-005-0039-7
9 sg:pub.10.1023/a:1015550921829
10 sg:pub.10.1134/s1070363210130086
11 https://doi.org/10.1002/etc.5620120506
12 https://doi.org/10.1016/j.ecss.2004.04.009
13 https://doi.org/10.1016/j.ecss.2009.10.024
14 https://doi.org/10.1016/j.ecss.2009.12.013
15 https://doi.org/10.1016/j.marpolbul.2003.10.010
16 https://doi.org/10.1016/j.marpolbul.2010.12.017
17 https://doi.org/10.1016/s0025-326x(99)00017-x
18 https://doi.org/10.1016/s0045-6535(03)00445-4
19 https://doi.org/10.1016/s0304-3800(00)00219-2
20 https://doi.org/10.1016/s1010-6030(02)00397-0
21 https://doi.org/10.1016/s1364-8152(00)00031-1
22 https://doi.org/10.1021/es00149a011
23 https://doi.org/10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2
24 https://doi.org/10.1579/0044-7447-33.1.107
25 https://doi.org/10.2175/wer.65.7.6
26 https://doi.org/10.3184/007967401103165262
27 https://doi.org/10.5194/hess-8-170-2004
28 schema:datePublished 2013-03
29 schema:datePublishedReg 2013-03-01
30 schema:description An environmental capacity model for the petroleum hydrocarbon pollutions (PHs) in Jiaozhou Bay is constructed based on field surveys, mesocosm, and parallel laboratory experiments. Simulated results of PHs seasonal successions in 2003 match the field surveys of Jiaozhou Bay resaonably well with a highest value in July. The Monte Carlo analysis confirms that the variation of PHs concentration significantly correlates with the river input. The water body in the bay is reasonably subjected to self-purification processes, such as volatilization to the atmosphere, biodegradation by microorganism, and transport to the Yellow Sea by water exchange. The environmental capacity of PHs in Jiaozhou Bay is 1500 tons per year IF the seawater quality criterion (Grade I/II, 0.05 mgL−1) in the region is to be satisfied. The contribution to self-purification by volatilization, biodegradation, and transport to the Yellow Sea accounts for 48%, 28%, and 23%, respectively, which make these three processes the main ways of PHs purification in Jiaozhou Bay.
31 schema:genre research_article
32 schema:inLanguage en
33 schema:isAccessibleForFree false
34 schema:isPartOf N6d7054d80afe409ba6ab2b3003cc2f2a
35 Nc4993f209f5c440399442c1da73b6cb3
36 sg:journal.1034099
37 schema:name Environmental capacity of petroleum hydrocarbon pollutants in Jiaozhou Bay, China: Modeling and calculation
38 schema:pagination 70-76
39 schema:productId N01b7169007c84336b28eee8896bfce07
40 N22e83a715b7346a0ade51be5f6c6bbe0
41 N5ceaa708b9214db28580604e1c211d54
42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026275179
43 https://doi.org/10.1007/s11802-011-1969-3
44 schema:sdDatePublished 2019-04-10T17:34
45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
46 schema:sdPublisher N98facb2542804f46aca552270f3d57e1
47 schema:url http://link.springer.com/10.1007%2Fs11802-011-1969-3
48 sgo:license sg:explorer/license/
49 sgo:sdDataset articles
50 rdf:type schema:ScholarlyArticle
51 N01b7169007c84336b28eee8896bfce07 schema:name doi
52 schema:value 10.1007/s11802-011-1969-3
53 rdf:type schema:PropertyValue
54 N166c73ed289a42ea8b230c2b7028229d rdf:first N7efa62052ff04973aaca9e625c61f7f5
55 rdf:rest Nf6c92660313745fbbb30b5df0ec7489b
56 N22e83a715b7346a0ade51be5f6c6bbe0 schema:name readcube_id
57 schema:value 7d2c13e83cf8c9fbccba446ca4662fe697e477a55a04d3f9c287cb1bc75fb4dd
58 rdf:type schema:PropertyValue
59 N4c18679e0805476082c4ba7ffe0b8476 rdf:first sg:person.01206250344.47
60 rdf:rest Na549ee133b8f47e798ba91a09731a844
61 N5ceaa708b9214db28580604e1c211d54 schema:name dimensions_id
62 schema:value pub.1026275179
63 rdf:type schema:PropertyValue
64 N6d7054d80afe409ba6ab2b3003cc2f2a schema:issueNumber 1
65 rdf:type schema:PublicationIssue
66 N7dc933f50b6048609e07f75c2b2206dd schema:affiliation https://www.grid.ac/institutes/grid.495494.1
67 schema:familyName Mu
68 schema:givenName Jinbo
69 rdf:type schema:Person
70 N7efa62052ff04973aaca9e625c61f7f5 schema:affiliation https://www.grid.ac/institutes/grid.488174.6
71 schema:familyName Ying
72 schema:givenName Jun
73 rdf:type schema:Person
74 N98facb2542804f46aca552270f3d57e1 schema:name Springer Nature - SN SciGraph project
75 rdf:type schema:Organization
76 Na549ee133b8f47e798ba91a09731a844 rdf:first sg:person.013654423040.08
77 rdf:rest N166c73ed289a42ea8b230c2b7028229d
78 Nc4993f209f5c440399442c1da73b6cb3 schema:volumeNumber 12
79 rdf:type schema:PublicationVolume
80 Nca6844b5d5e04173811c93ba622b50ad rdf:first N7dc933f50b6048609e07f75c2b2206dd
81 rdf:rest rdf:nil
82 Nf6c92660313745fbbb30b5df0ec7489b rdf:first sg:person.0577376104.41
83 rdf:rest Nca6844b5d5e04173811c93ba622b50ad
84 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
85 schema:name Environmental Sciences
86 rdf:type schema:DefinedTerm
87 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
88 schema:name Environmental Science and Management
89 rdf:type schema:DefinedTerm
90 sg:journal.1034099 schema:issn 1672-5182
91 1993-5021
92 schema:name Journal of Ocean University of China
93 rdf:type schema:Periodical
94 sg:person.01206250344.47 schema:affiliation https://www.grid.ac/institutes/grid.4422.0
95 schema:familyName Li
96 schema:givenName Keqiang
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206250344.47
98 rdf:type schema:Person
99 sg:person.013654423040.08 schema:affiliation https://www.grid.ac/institutes/grid.4422.0
100 schema:familyName Su
101 schema:givenName Ying
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013654423040.08
103 rdf:type schema:Person
104 sg:person.0577376104.41 schema:affiliation https://www.grid.ac/institutes/grid.4422.0
105 schema:familyName Wang
106 schema:givenName Xiulin
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577376104.41
108 rdf:type schema:Person
109 sg:pub.10.1007/bf00717698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026543194
110 https://doi.org/10.1007/bf00717698
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/bf02901748 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032543578
113 https://doi.org/10.1007/bf02901748
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/s002449900376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046367883
116 https://doi.org/10.1007/s002449900376
117 rdf:type schema:CreativeWork
118 sg:pub.10.1007/s11184-005-0095-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020409093
119 https://doi.org/10.1007/s11184-005-0095-x
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/s11268-005-0039-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008666693
122 https://doi.org/10.1007/s11268-005-0039-7
123 rdf:type schema:CreativeWork
124 sg:pub.10.1023/a:1015550921829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045769128
125 https://doi.org/10.1023/a:1015550921829
126 rdf:type schema:CreativeWork
127 sg:pub.10.1134/s1070363210130086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004896670
128 https://doi.org/10.1134/s1070363210130086
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1002/etc.5620120506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017562436
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.ecss.2004.04.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010508968
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.ecss.2009.10.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002424190
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.ecss.2009.12.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018379813
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.marpolbul.2003.10.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009697101
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.marpolbul.2010.12.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026038142
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/s0025-326x(99)00017-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049607055
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/s0045-6535(03)00445-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044996707
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/s0304-3800(00)00219-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044237907
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/s1010-6030(02)00397-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011506568
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/s1364-8152(00)00031-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041201497
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1021/es00149a011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055491318
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011849757
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1579/0044-7447-33.1.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002334222
157 rdf:type schema:CreativeWork
158 https://doi.org/10.2175/wer.65.7.6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102024659
159 rdf:type schema:CreativeWork
160 https://doi.org/10.3184/007967401103165262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071111376
161 rdf:type schema:CreativeWork
162 https://doi.org/10.5194/hess-8-170-2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013401762
163 rdf:type schema:CreativeWork
164 https://www.grid.ac/institutes/grid.4422.0 schema:alternateName Ocean University of China
165 schema:name College of Chemistry and Chemical Engineering, Ocean University of China, 266100, Qingdao, P. R. China
166 Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, 266100, Qingdao, P. R. China
167 rdf:type schema:Organization
168 https://www.grid.ac/institutes/grid.488174.6 schema:alternateName Shandong Entry-Exit Inspection and Quarantine Bureau
169 schema:name Shandong Entry-Exit Inspection and Quarantine Bureau, 266001, Qingdao, P. R. China
170 rdf:type schema:Organization
171 https://www.grid.ac/institutes/grid.495494.1 schema:alternateName Shandong Academy of Environmental Science
172 schema:name Shandong Academy of Environmental Science, 250013, Jinan, P. R. China
173 rdf:type schema:Organization
 




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


...