Influence of Meteorological Variables and Forest Fires Events on Air Quality in an Urban Area (Córdoba, Argentina) View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-28

AUTHORS

A. C. Mateos, A. C. Amarillo, I. Tavera Busso, H. A. Carreras

ABSTRACT

Extreme environmental events, such as forest fires, are a major emission source of aerosols into the atmosphere. Thus, to investigate the contribution of local forest fires to urban particulate matter, we selected several forest fire indicators, such as number of heat sources, fire events, and burnt area, and collected particles smaller than 2.5 µm (PM2.5) during a 2.5-year period in Cordoba City (Argentina). Temporal variation of PM2.5 concentration and composition was described considering fire and nonfire periods, and the influence of meteorological variables was estimated as well. On average, PM2.5 levels registered in Córdoba city during the study period were lower than values reported for other similar cities in Latin America, despite the fact that during wintertime an increase in PM2.5 levels was observed due to the occurrence of thermal inversions. Several fire events taking place in the nearby hills around the city during winter and spring 2013 suggest that biomass burning was a strong contribution to urban particles levels, which is consistent with the significant correlation between PM2.5 concentration and heat sources number. During fire periods, levels of Fe, Ca, and K, were significantly higher than in the nonfire periods, suggesting that these elements can be reliable forest fire markers. More... »

PAGES

1-9

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00244-019-00618-9

DOI

http://dx.doi.org/10.1007/s00244-019-00618-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113050512

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30923866


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/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary 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": "National University of C\u00f3rdoba", 
          "id": "https://www.grid.ac/institutes/grid.10692.3c", 
          "name": [
            "Multidisciplinary Institute of Plant Biology (Pollution and Bioindicators Area) National Scientific and Technical Research Council (IMBIV-CONICET), Faculty of Physical and Natural Sciences, National University of C\u00f3rdoba (FCEFyN-UNC), 1611\u00a0V\u00e9lez Sarsfield Avenue, X5016CGA, C\u00f3rdoba, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mateos", 
        "givenName": "A. C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of C\u00f3rdoba", 
          "id": "https://www.grid.ac/institutes/grid.10692.3c", 
          "name": [
            "Multidisciplinary Institute of Plant Biology (Pollution and Bioindicators Area) National Scientific and Technical Research Council (IMBIV-CONICET), Faculty of Physical and Natural Sciences, National University of C\u00f3rdoba (FCEFyN-UNC), 1611\u00a0V\u00e9lez Sarsfield Avenue, X5016CGA, C\u00f3rdoba, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Amarillo", 
        "givenName": "A. C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of C\u00f3rdoba", 
          "id": "https://www.grid.ac/institutes/grid.10692.3c", 
          "name": [
            "Multidisciplinary Institute of Plant Biology (Pollution and Bioindicators Area) National Scientific and Technical Research Council (IMBIV-CONICET), Faculty of Physical and Natural Sciences, National University of C\u00f3rdoba (FCEFyN-UNC), 1611\u00a0V\u00e9lez Sarsfield Avenue, X5016CGA, C\u00f3rdoba, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tavera Busso", 
        "givenName": "I.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of C\u00f3rdoba", 
          "id": "https://www.grid.ac/institutes/grid.10692.3c", 
          "name": [
            "Multidisciplinary Institute of Plant Biology (Pollution and Bioindicators Area) National Scientific and Technical Research Council (IMBIV-CONICET), Faculty of Physical and Natural Sciences, National University of C\u00f3rdoba (FCEFyN-UNC), 1611\u00a0V\u00e9lez Sarsfield Avenue, X5016CGA, C\u00f3rdoba, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carreras", 
        "givenName": "H. A.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.envpol.2013.03.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000219073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspa.2015.0257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001246643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/ijgi3020713", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002988399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2003.11.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004359664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2007.06.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005808767"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2014.05.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006554990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1352-2310(01)00336-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009838840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11869-010-0124-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010458054", 
          "https://doi.org/10.1007/s11869-010-0124-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.foreco.2013.02.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010541393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2000gb001382", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014366659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2015.09.099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016524694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jag.2012.07.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016878415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3155/1047-3289.57.7.845", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017815494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fuel.2015.08.054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018889326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5094/apr.2015.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021491244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2007.07.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022151495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2014.08.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022818995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0034-4257(03)00184-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034958951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0034-4257(03)00184-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034958951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2012.12.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038828433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2011.10.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041125622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2011.04.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041417446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.microc.2015.11.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042471542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjh.0000000000000342", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042526240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjh.0000000000000342", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042526240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-12-801238-3.99192-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043065985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2011.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046141723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sab.2008.05.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046222009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2006jd008195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046891512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/ijerph13090921", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047659664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2014.07.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050434035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/acp-5-799-2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051512404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/acp-5-799-2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051512404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es035311z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055496425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es035311z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055496425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064736829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4209/aaqr.2014.10.0269", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072360886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00244-017-0384-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084019945", 
          "https://doi.org/10.1007/s00244-017-0384-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00244-017-0384-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084019945", 
          "https://doi.org/10.1007/s00244-017-0384-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2017.03.148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084107971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2017.08.061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091398764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvrad.2017.09.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091985068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2017.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092113702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envres.2017.11.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093061088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2495/air160201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099145725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2018.04.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103520024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2018.03.066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104647020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2018.03.066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104647020"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-28", 
    "datePublishedReg": "2019-03-28", 
    "description": "Extreme environmental events, such as forest fires, are a major emission source of aerosols into the atmosphere. Thus, to investigate the contribution of local forest fires to urban particulate matter, we selected several forest fire indicators, such as number of heat sources, fire events, and burnt area, and collected particles smaller than 2.5\u00a0\u00b5m (PM2.5) during a 2.5-year period in Cordoba City (Argentina). Temporal variation of PM2.5 concentration and composition was described considering fire and nonfire periods, and the influence of meteorological variables was estimated as well. On average, PM2.5 levels registered in C\u00f3rdoba city during the study period were lower than values reported for other similar cities in Latin America, despite the fact that during wintertime an increase in PM2.5 levels was observed due to the occurrence of thermal inversions. Several fire events taking place in the nearby hills around the city during winter and spring 2013 suggest that biomass burning was a strong contribution to urban particles levels, which is consistent with the significant correlation between PM2.5 concentration and heat sources number. During fire periods, levels of Fe, Ca, and K, were significantly higher than in the nonfire periods, suggesting that these elements can be reliable forest fire markers.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00244-019-00618-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1016396", 
        "issn": [
          "0090-4341", 
          "1432-0703"
        ], 
        "name": "Archives of Environmental Contamination and Toxicology", 
        "type": "Periodical"
      }
    ], 
    "name": "Influence of Meteorological Variables and Forest Fires Events on Air Quality in an Urban Area (C\u00f3rdoba, Argentina)", 
    "pagination": "1-9", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "13bdb0b27cbe17d15d37f6866df69ef293c2e656b5a5cb177a6b0a08d24a7502"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30923866"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0357245"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00244-019-00618-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113050512"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00244-019-00618-9", 
      "https://app.dimensions.ai/details/publication/pub.1113050512"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:19", 
    "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/v90/0000000368_0000000368/records_78950_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00244-019-00618-9"
  }
]
 

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/s00244-019-00618-9'

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/s00244-019-00618-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00244-019-00618-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00244-019-00618-9'


 

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

208 TRIPLES      21 PREDICATES      68 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00244-019-00618-9 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author Nb2a7b639ebe0433dae6ab20a5170b5ea
4 schema:citation sg:pub.10.1007/s00244-017-0384-y
5 sg:pub.10.1007/s11869-010-0124-1
6 https://doi.org/10.1016/b978-0-12-801238-3.99192-x
7 https://doi.org/10.1016/j.atmosenv.2003.11.037
8 https://doi.org/10.1016/j.atmosenv.2007.06.048
9 https://doi.org/10.1016/j.atmosenv.2007.07.040
10 https://doi.org/10.1016/j.atmosenv.2011.07.003
11 https://doi.org/10.1016/j.atmosenv.2017.08.061
12 https://doi.org/10.1016/j.atmosenv.2017.10.001
13 https://doi.org/10.1016/j.atmosres.2011.04.015
14 https://doi.org/10.1016/j.atmosres.2012.12.004
15 https://doi.org/10.1016/j.atmosres.2014.05.015
16 https://doi.org/10.1016/j.envpol.2013.03.016
17 https://doi.org/10.1016/j.envpol.2014.07.023
18 https://doi.org/10.1016/j.envpol.2014.08.027
19 https://doi.org/10.1016/j.envpol.2018.03.066
20 https://doi.org/10.1016/j.envpol.2018.04.047
21 https://doi.org/10.1016/j.envres.2017.11.035
22 https://doi.org/10.1016/j.foreco.2013.02.037
23 https://doi.org/10.1016/j.fuel.2015.08.054
24 https://doi.org/10.1016/j.jag.2012.07.018
25 https://doi.org/10.1016/j.jenvrad.2017.09.016
26 https://doi.org/10.1016/j.microc.2015.11.025
27 https://doi.org/10.1016/j.sab.2008.05.006
28 https://doi.org/10.1016/j.scitotenv.2011.10.007
29 https://doi.org/10.1016/j.scitotenv.2015.09.099
30 https://doi.org/10.1016/j.scitotenv.2017.03.148
31 https://doi.org/10.1016/s0034-4257(03)00184-6
32 https://doi.org/10.1016/s1352-2310(01)00336-3
33 https://doi.org/10.1021/es035311z
34 https://doi.org/10.1029/2000gb001382
35 https://doi.org/10.1029/2006jd008195
36 https://doi.org/10.1097/hjh.0000000000000342
37 https://doi.org/10.1098/rspa.2015.0257
38 https://doi.org/10.1289/ehp194
39 https://doi.org/10.2495/air160201
40 https://doi.org/10.3155/1047-3289.57.7.845
41 https://doi.org/10.3390/ijerph13090921
42 https://doi.org/10.3390/ijgi3020713
43 https://doi.org/10.4209/aaqr.2014.10.0269
44 https://doi.org/10.5094/apr.2015.001
45 https://doi.org/10.5194/acp-5-799-2005
46 schema:datePublished 2019-03-28
47 schema:datePublishedReg 2019-03-28
48 schema:description Extreme environmental events, such as forest fires, are a major emission source of aerosols into the atmosphere. Thus, to investigate the contribution of local forest fires to urban particulate matter, we selected several forest fire indicators, such as number of heat sources, fire events, and burnt area, and collected particles smaller than 2.5 µm (PM<sub>2.5</sub>) during a 2.5-year period in Cordoba City (Argentina). Temporal variation of PM<sub>2.5</sub> concentration and composition was described considering fire and nonfire periods, and the influence of meteorological variables was estimated as well. On average, PM<sub>2.5</sub> levels registered in Córdoba city during the study period were lower than values reported for other similar cities in Latin America, despite the fact that during wintertime an increase in PM<sub>2.5</sub> levels was observed due to the occurrence of thermal inversions. Several fire events taking place in the nearby hills around the city during winter and spring 2013 suggest that biomass burning was a strong contribution to urban particles levels, which is consistent with the significant correlation between PM<sub>2.5</sub> concentration and heat sources number. During fire periods, levels of Fe, Ca, and K, were significantly higher than in the nonfire periods, suggesting that these elements can be reliable forest fire markers.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree false
52 schema:isPartOf sg:journal.1016396
53 schema:name Influence of Meteorological Variables and Forest Fires Events on Air Quality in an Urban Area (Córdoba, Argentina)
54 schema:pagination 1-9
55 schema:productId N02659f93d20d4a4cbda2ec4afe86df63
56 N44595e7bfecc45448e78f709fd655d17
57 N832d929bf4c744dfa1d64165dd0ff3ee
58 Nca8108b32b6d495fb57a8af7c7caea02
59 Ne38d9a097db7452c82d8a897baa5d3b3
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113050512
61 https://doi.org/10.1007/s00244-019-00618-9
62 schema:sdDatePublished 2019-04-11T13:19
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N8b88257ddcb54ccc9f59400fbbb1f01f
65 schema:url https://link.springer.com/10.1007%2Fs00244-019-00618-9
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N02659f93d20d4a4cbda2ec4afe86df63 schema:name nlm_unique_id
70 schema:value 0357245
71 rdf:type schema:PropertyValue
72 N12e2e9671cb545a984f0a74d4052a77b schema:affiliation https://www.grid.ac/institutes/grid.10692.3c
73 schema:familyName Amarillo
74 schema:givenName A. C.
75 rdf:type schema:Person
76 N2ce4b0806f15441d9a9285feaf6eefdb rdf:first Ne317f86929f442c3a87a0b400f0b8301
77 rdf:rest Nfc24a776cc6a4ed8b6322d826a43281b
78 N302b3df322184205b159e7f4254f99b5 schema:affiliation https://www.grid.ac/institutes/grid.10692.3c
79 schema:familyName Mateos
80 schema:givenName A. C.
81 rdf:type schema:Person
82 N44595e7bfecc45448e78f709fd655d17 schema:name readcube_id
83 schema:value 13bdb0b27cbe17d15d37f6866df69ef293c2e656b5a5cb177a6b0a08d24a7502
84 rdf:type schema:PropertyValue
85 N46183986293343de9d614a858fb4e900 rdf:first N12e2e9671cb545a984f0a74d4052a77b
86 rdf:rest N2ce4b0806f15441d9a9285feaf6eefdb
87 N832d929bf4c744dfa1d64165dd0ff3ee schema:name pubmed_id
88 schema:value 30923866
89 rdf:type schema:PropertyValue
90 N8b88257ddcb54ccc9f59400fbbb1f01f schema:name Springer Nature - SN SciGraph project
91 rdf:type schema:Organization
92 Nb2a7b639ebe0433dae6ab20a5170b5ea rdf:first N302b3df322184205b159e7f4254f99b5
93 rdf:rest N46183986293343de9d614a858fb4e900
94 Nc8bbd828f12044298442192b59a2c25a schema:affiliation https://www.grid.ac/institutes/grid.10692.3c
95 schema:familyName Carreras
96 schema:givenName H. A.
97 rdf:type schema:Person
98 Nca8108b32b6d495fb57a8af7c7caea02 schema:name doi
99 schema:value 10.1007/s00244-019-00618-9
100 rdf:type schema:PropertyValue
101 Ne317f86929f442c3a87a0b400f0b8301 schema:affiliation https://www.grid.ac/institutes/grid.10692.3c
102 schema:familyName Tavera Busso
103 schema:givenName I.
104 rdf:type schema:Person
105 Ne38d9a097db7452c82d8a897baa5d3b3 schema:name dimensions_id
106 schema:value pub.1113050512
107 rdf:type schema:PropertyValue
108 Nfc24a776cc6a4ed8b6322d826a43281b rdf:first Nc8bbd828f12044298442192b59a2c25a
109 rdf:rest rdf:nil
110 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
111 schema:name Engineering
112 rdf:type schema:DefinedTerm
113 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
114 schema:name Interdisciplinary Engineering
115 rdf:type schema:DefinedTerm
116 sg:journal.1016396 schema:issn 0090-4341
117 1432-0703
118 schema:name Archives of Environmental Contamination and Toxicology
119 rdf:type schema:Periodical
120 sg:pub.10.1007/s00244-017-0384-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1084019945
121 https://doi.org/10.1007/s00244-017-0384-y
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/s11869-010-0124-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010458054
124 https://doi.org/10.1007/s11869-010-0124-1
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/b978-0-12-801238-3.99192-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043065985
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.atmosenv.2003.11.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004359664
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.atmosenv.2007.06.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005808767
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.atmosenv.2007.07.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022151495
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.atmosenv.2011.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046141723
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.atmosenv.2017.08.061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091398764
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.atmosenv.2017.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092113702
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.atmosres.2011.04.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041417446
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.atmosres.2012.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038828433
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.atmosres.2014.05.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006554990
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.envpol.2013.03.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000219073
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.envpol.2014.07.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050434035
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.envpol.2014.08.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022818995
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.envpol.2018.03.066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104647020
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.envpol.2018.04.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103520024
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.envres.2017.11.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093061088
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.foreco.2013.02.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010541393
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.fuel.2015.08.054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018889326
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.jag.2012.07.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016878415
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.jenvrad.2017.09.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091985068
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.microc.2015.11.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042471542
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.sab.2008.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046222009
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.scitotenv.2011.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041125622
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.scitotenv.2015.09.099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016524694
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.scitotenv.2017.03.148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084107971
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/s0034-4257(03)00184-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034958951
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/s1352-2310(01)00336-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009838840
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1021/es035311z schema:sameAs https://app.dimensions.ai/details/publication/pub.1055496425
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1029/2000gb001382 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014366659
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1029/2006jd008195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046891512
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1097/hjh.0000000000000342 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042526240
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1098/rspa.2015.0257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001246643
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1289/ehp194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064736829
191 rdf:type schema:CreativeWork
192 https://doi.org/10.2495/air160201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099145725
193 rdf:type schema:CreativeWork
194 https://doi.org/10.3155/1047-3289.57.7.845 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017815494
195 rdf:type schema:CreativeWork
196 https://doi.org/10.3390/ijerph13090921 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047659664
197 rdf:type schema:CreativeWork
198 https://doi.org/10.3390/ijgi3020713 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002988399
199 rdf:type schema:CreativeWork
200 https://doi.org/10.4209/aaqr.2014.10.0269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072360886
201 rdf:type schema:CreativeWork
202 https://doi.org/10.5094/apr.2015.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021491244
203 rdf:type schema:CreativeWork
204 https://doi.org/10.5194/acp-5-799-2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051512404
205 rdf:type schema:CreativeWork
206 https://www.grid.ac/institutes/grid.10692.3c schema:alternateName National University of Córdoba
207 schema:name Multidisciplinary Institute of Plant Biology (Pollution and Bioindicators Area) National Scientific and Technical Research Council (IMBIV-CONICET), Faculty of Physical and Natural Sciences, National University of Córdoba (FCEFyN-UNC), 1611 Vélez Sarsfield Avenue, X5016CGA, Córdoba, Argentina
208 rdf:type schema:Organization
 




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


...