The model study of the wildfire impact on the spatial distribution of deposition of sulfur and nitrogen compounds in Siberia View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-11

AUTHORS

E. V. Berezin, I. B. Konovalov, S. A. Gromov, M. Beekmann, E. -D. Schulze

ABSTRACT

Presented are the results of the model study of wildfire impact on the spatial distribution of deposition fields of sulfur and nitrogen compounds in the regions of Siberia and the Russian Far East. The CHIMERE chemistry transport model was used for computing the deposition fields taking account of pyrogenic emissions specified using satellite measurements of intensity of wildfire heat radiation. Carried out is the model validation using the data of ground-based measurements of nitrate and sulfate concentrations in precipitation at the Russian EANET stations as well as the data of satellite measurements of carbon dioxide content in the troposphere and aerosol optical depth carried out by IASI and MODIS instruments, respectively. It is demonstrated that wildfires considerably influence deposition of sulfur and nitrogen compounds and redistribution of nitrogen compounds assimilated by plants within the regions under consideration. More... »

PAGES

750-758

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.3103/s1068373913110046

DOI

http://dx.doi.org/10.3103/s1068373913110046

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049069654


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/2008/0399", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute of Applied Physics", 
          "id": "https://www.grid.ac/institutes/grid.410472.4", 
          "name": [
            "Institute of Applied Physics, Russian Academy of Sciences, ul. Ul\u2019yanova 46, GSP-120, 603950, Nizhny Novgorod, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Berezin", 
        "givenName": "E. V.", 
        "id": "sg:person.010112135353.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010112135353.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Applied Physics", 
          "id": "https://www.grid.ac/institutes/grid.410472.4", 
          "name": [
            "Institute of Applied Physics, Russian Academy of Sciences, ul. Ul\u2019yanova 46, GSP-120, 603950, Nizhny Novgorod, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Konovalov", 
        "givenName": "I. B.", 
        "id": "sg:person.07374072646.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07374072646.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Global Climate and Ecology", 
          "id": "https://www.grid.ac/institutes/grid.435253.6", 
          "name": [
            "Institute of Global Climate and Ecology of Roshydromet and Russian Academy of Sciences, ul. Glebovskaya 20b, 107258, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gromov", 
        "givenName": "S. A.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire Interuniversitaire des Syst\u00e8mes Atmosph\u00e9riques", 
          "id": "https://www.grid.ac/institutes/grid.464159.b", 
          "name": [
            "Laboratoire Interuniversitaire des Syst\u00e8mes Atmosph\u00e9riques, 61 avenue du G\u00e9n\u00e9ral de Gaulle, 94010, Cr\u00e9teil C\u00e9dex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Beekmann", 
        "givenName": "M.", 
        "id": "sg:person.010045072003.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010045072003.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max Planck Institute of Biochemistry", 
          "id": "https://www.grid.ac/institutes/grid.418615.f", 
          "name": [
            "Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152, Martinsried, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schulze", 
        "givenName": "E. -D.", 
        "id": "sg:person.0654066337.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654066337.20"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf01049858", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037740083", 
          "https://doi.org/10.1007/bf01049858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01049858", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037740083", 
          "https://doi.org/10.1007/bf01049858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3103/s1068373909040062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049288920", 
          "https://doi.org/10.3103/s1068373909040062"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-11", 
    "datePublishedReg": "2013-11-01", 
    "description": "Presented are the results of the model study of wildfire impact on the spatial distribution of deposition fields of sulfur and nitrogen compounds in the regions of Siberia and the Russian Far East. The CHIMERE chemistry transport model was used for computing the deposition fields taking account of pyrogenic emissions specified using satellite measurements of intensity of wildfire heat radiation. Carried out is the model validation using the data of ground-based measurements of nitrate and sulfate concentrations in precipitation at the Russian EANET stations as well as the data of satellite measurements of carbon dioxide content in the troposphere and aerosol optical depth carried out by IASI and MODIS instruments, respectively. It is demonstrated that wildfires considerably influence deposition of sulfur and nitrogen compounds and redistribution of nitrogen compounds assimilated by plants within the regions under consideration.", 
    "genre": "research_article", 
    "id": "sg:pub.10.3103/s1068373913110046", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136194", 
        "issn": [
          "1068-3739", 
          "0130-2906"
        ], 
        "name": "Russian Meteorology and Hydrology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "The model study of the wildfire impact on the spatial distribution of deposition of sulfur and nitrogen compounds in Siberia", 
    "pagination": "750-758", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e9c27cec23326dcc32cb1e95d4eecc18cbbefdf97354f07be29373cb8c5e7bce"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.3103/s1068373913110046"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1049069654"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.3103/s1068373913110046", 
      "https://app.dimensions.ai/details/publication/pub.1049069654"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:23", 
    "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_8693_00000508.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.3103%2FS1068373913110046"
  }
]
 

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.10.3103/s1068373913110046'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.3103/s1068373913110046'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.3103/s1068373913110046'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.3103/s1068373913110046'


 

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

105 TRIPLES      21 PREDICATES      29 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.3103/s1068373913110046 schema:about anzsrc-for:03
2 anzsrc-for:0399
3 schema:author Nc6c70b14d50143ee946518cbd3f13671
4 schema:citation sg:pub.10.1007/bf01049858
5 sg:pub.10.3103/s1068373909040062
6 schema:datePublished 2013-11
7 schema:datePublishedReg 2013-11-01
8 schema:description Presented are the results of the model study of wildfire impact on the spatial distribution of deposition fields of sulfur and nitrogen compounds in the regions of Siberia and the Russian Far East. The CHIMERE chemistry transport model was used for computing the deposition fields taking account of pyrogenic emissions specified using satellite measurements of intensity of wildfire heat radiation. Carried out is the model validation using the data of ground-based measurements of nitrate and sulfate concentrations in precipitation at the Russian EANET stations as well as the data of satellite measurements of carbon dioxide content in the troposphere and aerosol optical depth carried out by IASI and MODIS instruments, respectively. It is demonstrated that wildfires considerably influence deposition of sulfur and nitrogen compounds and redistribution of nitrogen compounds assimilated by plants within the regions under consideration.
9 schema:genre research_article
10 schema:inLanguage en
11 schema:isAccessibleForFree false
12 schema:isPartOf N29446292566a416ebe80f12a26b429c5
13 N3e3a4f0a9a214df69c2d362d24ec142b
14 sg:journal.1136194
15 schema:name The model study of the wildfire impact on the spatial distribution of deposition of sulfur and nitrogen compounds in Siberia
16 schema:pagination 750-758
17 schema:productId N109ae848e38d4b388bacff99f1fbe0d6
18 N64de40badd2f49108859b25b308c5e88
19 Nf7e5bd8547f547f2be0289ed2a2b4f39
20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049069654
21 https://doi.org/10.3103/s1068373913110046
22 schema:sdDatePublished 2019-04-10T23:23
23 schema:sdLicense https://scigraph.springernature.com/explorer/license/
24 schema:sdPublisher N507ceb25fadc4ccd8c1bf9844dfdee7a
25 schema:url http://link.springer.com/10.3103%2FS1068373913110046
26 sgo:license sg:explorer/license/
27 sgo:sdDataset articles
28 rdf:type schema:ScholarlyArticle
29 N109ae848e38d4b388bacff99f1fbe0d6 schema:name doi
30 schema:value 10.3103/s1068373913110046
31 rdf:type schema:PropertyValue
32 N29446292566a416ebe80f12a26b429c5 schema:volumeNumber 38
33 rdf:type schema:PublicationVolume
34 N39eddc4c0d324f05a41e7e59a4df19e4 rdf:first sg:person.0654066337.20
35 rdf:rest rdf:nil
36 N3e3a4f0a9a214df69c2d362d24ec142b schema:issueNumber 11
37 rdf:type schema:PublicationIssue
38 N3fd7a67c2861422f9aeb881bcf66084b rdf:first sg:person.010045072003.34
39 rdf:rest N39eddc4c0d324f05a41e7e59a4df19e4
40 N507ceb25fadc4ccd8c1bf9844dfdee7a schema:name Springer Nature - SN SciGraph project
41 rdf:type schema:Organization
42 N51bdc67c0f6c4e0eb07886b07e1d3ae4 rdf:first sg:person.07374072646.64
43 rdf:rest Ndeefb9413272490899533d1dc3f8a719
44 N64de40badd2f49108859b25b308c5e88 schema:name dimensions_id
45 schema:value pub.1049069654
46 rdf:type schema:PropertyValue
47 N76489b9d2eb24ed7a7a75ef6aff64007 schema:affiliation https://www.grid.ac/institutes/grid.435253.6
48 schema:familyName Gromov
49 schema:givenName S. A.
50 rdf:type schema:Person
51 Nc6c70b14d50143ee946518cbd3f13671 rdf:first sg:person.010112135353.09
52 rdf:rest N51bdc67c0f6c4e0eb07886b07e1d3ae4
53 Ndeefb9413272490899533d1dc3f8a719 rdf:first N76489b9d2eb24ed7a7a75ef6aff64007
54 rdf:rest N3fd7a67c2861422f9aeb881bcf66084b
55 Nf7e5bd8547f547f2be0289ed2a2b4f39 schema:name readcube_id
56 schema:value e9c27cec23326dcc32cb1e95d4eecc18cbbefdf97354f07be29373cb8c5e7bce
57 rdf:type schema:PropertyValue
58 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
59 schema:name Chemical Sciences
60 rdf:type schema:DefinedTerm
61 anzsrc-for:0399 schema:inDefinedTermSet anzsrc-for:
62 schema:name Other Chemical Sciences
63 rdf:type schema:DefinedTerm
64 sg:journal.1136194 schema:issn 0130-2906
65 1068-3739
66 schema:name Russian Meteorology and Hydrology
67 rdf:type schema:Periodical
68 sg:person.010045072003.34 schema:affiliation https://www.grid.ac/institutes/grid.464159.b
69 schema:familyName Beekmann
70 schema:givenName M.
71 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010045072003.34
72 rdf:type schema:Person
73 sg:person.010112135353.09 schema:affiliation https://www.grid.ac/institutes/grid.410472.4
74 schema:familyName Berezin
75 schema:givenName E. V.
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010112135353.09
77 rdf:type schema:Person
78 sg:person.0654066337.20 schema:affiliation https://www.grid.ac/institutes/grid.418615.f
79 schema:familyName Schulze
80 schema:givenName E. -D.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654066337.20
82 rdf:type schema:Person
83 sg:person.07374072646.64 schema:affiliation https://www.grid.ac/institutes/grid.410472.4
84 schema:familyName Konovalov
85 schema:givenName I. B.
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07374072646.64
87 rdf:type schema:Person
88 sg:pub.10.1007/bf01049858 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037740083
89 https://doi.org/10.1007/bf01049858
90 rdf:type schema:CreativeWork
91 sg:pub.10.3103/s1068373909040062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049288920
92 https://doi.org/10.3103/s1068373909040062
93 rdf:type schema:CreativeWork
94 https://www.grid.ac/institutes/grid.410472.4 schema:alternateName Institute of Applied Physics
95 schema:name Institute of Applied Physics, Russian Academy of Sciences, ul. Ul’yanova 46, GSP-120, 603950, Nizhny Novgorod, Russia
96 rdf:type schema:Organization
97 https://www.grid.ac/institutes/grid.418615.f schema:alternateName Max Planck Institute of Biochemistry
98 schema:name Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152, Martinsried, Germany
99 rdf:type schema:Organization
100 https://www.grid.ac/institutes/grid.435253.6 schema:alternateName Institute of Global Climate and Ecology
101 schema:name Institute of Global Climate and Ecology of Roshydromet and Russian Academy of Sciences, ul. Glebovskaya 20b, 107258, Moscow, Russia
102 rdf:type schema:Organization
103 https://www.grid.ac/institutes/grid.464159.b schema:alternateName Laboratoire Interuniversitaire des Systèmes Atmosphériques
104 schema:name Laboratoire Interuniversitaire des Systèmes Atmosphériques, 61 avenue du Général de Gaulle, 94010, Créteil Cédex, France
105 rdf:type schema:Organization
 




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


...