Size distribution and metal composition of airborne particles in a waste management facility View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-01

AUTHORS

Eleftheria Chalvatzaki, Ilias Kopanakis, Mihalis Lazaridis

ABSTRACT

The objective of the current study was to measure the particle mass concentration, mass size distribution, and metal composition of airborne particles in a waste management facility located at Chania (Crete, Greece). Measurements were performed at two locations of the waste management facility. High particulate matter (PM10) concentrations were observed at the indoor site of manual waste sorting. In particular, the average concentration of PM10 was equal to 217 μg/m3 during working hours, while during non-working hours was equal to 60 μg/ m3. The particle mass size distributions were unimodal reflecting the resuspension of coarse particles. Furthermore, the deposited dose of particles and particle-bound metals and their retention in the human respiratory tract was determined using a dosimetry model (ExDoM2). The ExDoM2 model was applied for an adult male worker (06:30–14:30) at the indoor site of a manual waste sorting. The daily working deposited dose of PM10 ranged from 1677 to 3028 μg, while the daily working deposited dose of particle-bound metals ranged from 22 to 39 μg. The highest daily working deposited dose in the respiratory tract is calculated for iron mass (PΜFe) and the daily working deposited dose for PΜFe ranged from 18 to 33 μg. More... »

PAGES

323-335

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10163-017-0584-6

DOI

http://dx.doi.org/10.1007/s10163-017-0584-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083698330


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": "Technical University of Crete", 
          "id": "https://www.grid.ac/institutes/grid.6809.7", 
          "name": [
            "Department of Environmental Engineering, Technical University of Crete, 73100, Chania, Crete, Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chalvatzaki", 
        "givenName": "Eleftheria", 
        "id": "sg:person.01024731036.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024731036.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Crete", 
          "id": "https://www.grid.ac/institutes/grid.6809.7", 
          "name": [
            "Department of Environmental Engineering, Technical University of Crete, 73100, Chania, Crete, Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kopanakis", 
        "givenName": "Ilias", 
        "id": "sg:person.07462707671.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07462707671.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Crete", 
          "id": "https://www.grid.ac/institutes/grid.6809.7", 
          "name": [
            "Department of Environmental Engineering, Technical University of Crete, 73100, Chania, Crete, Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lazaridis", 
        "givenName": "Mihalis", 
        "id": "sg:person.01265702467.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265702467.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/toxsci/60.2.196", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001864456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09603123.2014.989491", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007175904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.buildenv.2014.08.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008128705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2012.06.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008357225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2007.09.076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009182879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2010.05.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009548977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annhyg/met041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011882439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b821824b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015356492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b821824b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015356492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10473289.2006.10464485", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019288511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1352-2310(00)00403-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019482321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2011.11.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024262879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0048-9697(99)00513-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024450578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaerosci.2008.05.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024721590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/08958378.2015.1046201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026034248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2006.11.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032568258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11869-010-0126-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032754788", 
          "https://doi.org/10.1007/s11869-010-0126-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2007.11.122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036256574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2011.04.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042336100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2012.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046795582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11270-013-1782-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048291772", 
          "https://doi.org/10.1007/s11270-013-1782-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es040040t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055496516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es040040t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055496516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13547500902965351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058382989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4209/aaqr.2013.04.0113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072360643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-011-1344-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1108494192", 
          "https://doi.org/10.1007/978-94-011-1344-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-011-1344-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1108494192", 
          "https://doi.org/10.1007/978-94-011-1344-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0470868384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109491649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1109491649", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-01", 
    "datePublishedReg": "2018-01-01", 
    "description": "The objective of the current study was to measure the particle mass concentration, mass size distribution, and metal composition of airborne particles in a waste management facility located at Chania (Crete, Greece). Measurements were performed at two locations of the waste management facility. High particulate matter (PM10) concentrations were observed at the indoor site of manual waste sorting. In particular, the average concentration of PM10 was equal to 217 \u03bcg/m3 during working hours, while during non-working hours was equal to 60 \u03bcg/ m3. The particle mass size distributions were unimodal reflecting the resuspension of coarse particles. Furthermore, the deposited dose of particles and particle-bound metals and their retention in the human respiratory tract was determined using a dosimetry model (ExDoM2). The ExDoM2 model was applied for an adult male worker (06:30\u201314:30) at the indoor site of a manual waste sorting. The daily working deposited dose of PM10 ranged from 1677 to 3028 \u03bcg, while the daily working deposited dose of particle-bound metals ranged from 22 to 39 \u03bcg. The highest daily working deposited dose in the respiratory tract is calculated for iron mass (P\u039cFe) and the daily working deposited dose for P\u039cFe ranged from 18 to 33 \u03bcg.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10163-017-0584-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135965", 
        "issn": [
          "1438-4957", 
          "1611-8227"
        ], 
        "name": "Journal of Material Cycles and Waste Management", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "name": "Size distribution and metal composition of airborne particles in a waste management facility", 
    "pagination": "323-335", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5c7a692e676a971a3d87a1708061614e0315060a4b135d7d81ee76f9571625c0"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10163-017-0584-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1083698330"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10163-017-0584-6", 
      "https://app.dimensions.ai/details/publication/pub.1083698330"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:49", 
    "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/v90/0000000347_0000000347/records_89785_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10163-017-0584-6"
  }
]
 

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/s10163-017-0584-6'

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/s10163-017-0584-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10163-017-0584-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10163-017-0584-6'


 

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

155 TRIPLES      21 PREDICATES      53 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10163-017-0584-6 schema:about anzsrc-for:09
2 anzsrc-for:0907
3 schema:author N900cf9b4189b4a659ebf2535a32e321a
4 schema:citation sg:pub.10.1007/978-94-011-1344-1
5 sg:pub.10.1007/s11270-013-1782-z
6 sg:pub.10.1007/s11869-010-0126-z
7 https://app.dimensions.ai/details/publication/pub.1109491649
8 https://doi.org/10.1002/0470868384
9 https://doi.org/10.1016/j.atmosenv.2006.11.006
10 https://doi.org/10.1016/j.atmosenv.2007.09.076
11 https://doi.org/10.1016/j.atmosenv.2011.04.015
12 https://doi.org/10.1016/j.atmosenv.2012.06.039
13 https://doi.org/10.1016/j.atmosres.2011.11.011
14 https://doi.org/10.1016/j.buildenv.2014.08.017
15 https://doi.org/10.1016/j.jaerosci.2008.05.007
16 https://doi.org/10.1016/j.jhazmat.2007.11.122
17 https://doi.org/10.1016/j.wasman.2010.05.025
18 https://doi.org/10.1016/j.wasman.2012.06.005
19 https://doi.org/10.1016/s0048-9697(99)00513-6
20 https://doi.org/10.1016/s1352-2310(00)00403-9
21 https://doi.org/10.1021/es040040t
22 https://doi.org/10.1039/b821824b
23 https://doi.org/10.1080/09603123.2014.989491
24 https://doi.org/10.1080/10473289.2006.10464485
25 https://doi.org/10.1080/13547500902965351
26 https://doi.org/10.1093/annhyg/met041
27 https://doi.org/10.1093/toxsci/60.2.196
28 https://doi.org/10.3109/08958378.2015.1046201
29 https://doi.org/10.4209/aaqr.2013.04.0113
30 schema:datePublished 2018-01
31 schema:datePublishedReg 2018-01-01
32 schema:description The objective of the current study was to measure the particle mass concentration, mass size distribution, and metal composition of airborne particles in a waste management facility located at Chania (Crete, Greece). Measurements were performed at two locations of the waste management facility. High particulate matter (PM10) concentrations were observed at the indoor site of manual waste sorting. In particular, the average concentration of PM10 was equal to 217 μg/m3 during working hours, while during non-working hours was equal to 60 μg/ m3. The particle mass size distributions were unimodal reflecting the resuspension of coarse particles. Furthermore, the deposited dose of particles and particle-bound metals and their retention in the human respiratory tract was determined using a dosimetry model (ExDoM2). The ExDoM2 model was applied for an adult male worker (06:30–14:30) at the indoor site of a manual waste sorting. The daily working deposited dose of PM10 ranged from 1677 to 3028 μg, while the daily working deposited dose of particle-bound metals ranged from 22 to 39 μg. The highest daily working deposited dose in the respiratory tract is calculated for iron mass (PΜFe) and the daily working deposited dose for PΜFe ranged from 18 to 33 μg.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree false
36 schema:isPartOf N51cab4fe77ba496a925d179ca5e0091b
37 N81ad2e345b0946b7a7ee5320f38164b3
38 sg:journal.1135965
39 schema:name Size distribution and metal composition of airborne particles in a waste management facility
40 schema:pagination 323-335
41 schema:productId N2bd21a586909475aaef97ebdf7a4d800
42 N6cd2942242934345896e822cea53cc9e
43 N7e7627334c6d4981a1b7d1c2070491a6
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083698330
45 https://doi.org/10.1007/s10163-017-0584-6
46 schema:sdDatePublished 2019-04-11T09:49
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher N3a3db80228ec4ae9a5f715bf2e238440
49 schema:url https://link.springer.com/10.1007%2Fs10163-017-0584-6
50 sgo:license sg:explorer/license/
51 sgo:sdDataset articles
52 rdf:type schema:ScholarlyArticle
53 N2bd21a586909475aaef97ebdf7a4d800 schema:name dimensions_id
54 schema:value pub.1083698330
55 rdf:type schema:PropertyValue
56 N3a3db80228ec4ae9a5f715bf2e238440 schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 N51cab4fe77ba496a925d179ca5e0091b schema:volumeNumber 20
59 rdf:type schema:PublicationVolume
60 N6cd2942242934345896e822cea53cc9e schema:name readcube_id
61 schema:value 5c7a692e676a971a3d87a1708061614e0315060a4b135d7d81ee76f9571625c0
62 rdf:type schema:PropertyValue
63 N7e7627334c6d4981a1b7d1c2070491a6 schema:name doi
64 schema:value 10.1007/s10163-017-0584-6
65 rdf:type schema:PropertyValue
66 N81ad2e345b0946b7a7ee5320f38164b3 schema:issueNumber 1
67 rdf:type schema:PublicationIssue
68 N900cf9b4189b4a659ebf2535a32e321a rdf:first sg:person.01024731036.69
69 rdf:rest Na471ac827ceb4ff38b53a5978c31a6e4
70 Na471ac827ceb4ff38b53a5978c31a6e4 rdf:first sg:person.07462707671.38
71 rdf:rest Nc757eb65c02c45658a3eefae3c041279
72 Nc757eb65c02c45658a3eefae3c041279 rdf:first sg:person.01265702467.75
73 rdf:rest rdf:nil
74 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
75 schema:name Engineering
76 rdf:type schema:DefinedTerm
77 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
78 schema:name Environmental Engineering
79 rdf:type schema:DefinedTerm
80 sg:journal.1135965 schema:issn 1438-4957
81 1611-8227
82 schema:name Journal of Material Cycles and Waste Management
83 rdf:type schema:Periodical
84 sg:person.01024731036.69 schema:affiliation https://www.grid.ac/institutes/grid.6809.7
85 schema:familyName Chalvatzaki
86 schema:givenName Eleftheria
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024731036.69
88 rdf:type schema:Person
89 sg:person.01265702467.75 schema:affiliation https://www.grid.ac/institutes/grid.6809.7
90 schema:familyName Lazaridis
91 schema:givenName Mihalis
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265702467.75
93 rdf:type schema:Person
94 sg:person.07462707671.38 schema:affiliation https://www.grid.ac/institutes/grid.6809.7
95 schema:familyName Kopanakis
96 schema:givenName Ilias
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07462707671.38
98 rdf:type schema:Person
99 sg:pub.10.1007/978-94-011-1344-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1108494192
100 https://doi.org/10.1007/978-94-011-1344-1
101 rdf:type schema:CreativeWork
102 sg:pub.10.1007/s11270-013-1782-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1048291772
103 https://doi.org/10.1007/s11270-013-1782-z
104 rdf:type schema:CreativeWork
105 sg:pub.10.1007/s11869-010-0126-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1032754788
106 https://doi.org/10.1007/s11869-010-0126-z
107 rdf:type schema:CreativeWork
108 https://app.dimensions.ai/details/publication/pub.1109491649 schema:CreativeWork
109 https://doi.org/10.1002/0470868384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109491649
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/j.atmosenv.2006.11.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032568258
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.atmosenv.2007.09.076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009182879
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/j.atmosenv.2011.04.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042336100
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/j.atmosenv.2012.06.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008357225
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.atmosres.2011.11.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024262879
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.buildenv.2014.08.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008128705
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/j.jaerosci.2008.05.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024721590
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.jhazmat.2007.11.122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036256574
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.wasman.2010.05.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009548977
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.wasman.2012.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046795582
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/s0048-9697(99)00513-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024450578
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/s1352-2310(00)00403-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019482321
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1021/es040040t schema:sameAs https://app.dimensions.ai/details/publication/pub.1055496516
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1039/b821824b schema:sameAs https://app.dimensions.ai/details/publication/pub.1015356492
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1080/09603123.2014.989491 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007175904
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1080/10473289.2006.10464485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019288511
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1080/13547500902965351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058382989
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1093/annhyg/met041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011882439
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1093/toxsci/60.2.196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001864456
148 rdf:type schema:CreativeWork
149 https://doi.org/10.3109/08958378.2015.1046201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026034248
150 rdf:type schema:CreativeWork
151 https://doi.org/10.4209/aaqr.2013.04.0113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072360643
152 rdf:type schema:CreativeWork
153 https://www.grid.ac/institutes/grid.6809.7 schema:alternateName Technical University of Crete
154 schema:name Department of Environmental Engineering, Technical University of Crete, 73100, Chania, Crete, Greece
155 rdf:type schema:Organization
 




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


...