Accounting for the aircraft emissions of China’s domestic routes during 2014–2019 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-07-06

AUTHORS

Qiang Cui, Bin Chen, Yi-lin Lei

ABSTRACT

The “13th Five-Year Plan” of civil aviation energy conservation and emission reduction impacts China’s domestic aviation exchanges. However, few researchers pay attrition to the impact of the 13th Five-Year Plan on aviation emissions. This paper intends to calculate the emissions of six pollutants (CO2, CO, HC, NOx, PM2.5, and SO2) in China’s domestic airlines from 2014 to 2019 and explore the impact of the 13th Five-Year Plan on emissions changes. In this paper, the improved BFFM2-FOA-FPM method is used to unify the calculation of CO2 and other aviation emissions. The error rate between the estimate and the official data was about 6.45%. The results show that the 13th Five-Year Plan has impacted on aviation emissions, including the number of routes and airlines, aircraft configuration, air routes, and airline unit turnover emissions. Additionally, the 13th Five-Year Plan’s effect is not significant, and it does not promote the reduction of emissions on domestic routes. More... »

PAGES

383

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41597-022-01494-0

DOI

http://dx.doi.org/10.1038/s41597-022-01494-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1149252887

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35794155


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/2008/15", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Commerce, Management, Tourism and Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1507", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Transportation and Freight Services", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "School of Economics and Management, Southeast University, 211189, Nanjing, China", 
          "id": "http://www.grid.ac/institutes/grid.263826.b", 
          "name": [
            "School of Economics and Management, Southeast University, 211189, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cui", 
        "givenName": "Qiang", 
        "id": "sg:person.010734534273.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010734534273.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Economics and Management, Southeast University, 211189, Nanjing, China", 
          "id": "http://www.grid.ac/institutes/grid.263826.b", 
          "name": [
            "School of Economics and Management, Southeast University, 211189, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Bin", 
        "id": "sg:person.014570605126.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014570605126.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Economics and Management, Southeast University, 211189, Nanjing, China", 
          "id": "http://www.grid.ac/institutes/grid.263826.b", 
          "name": [
            "School of Economics and Management, Southeast University, 211189, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lei", 
        "givenName": "Yi-lin", 
        "id": "sg:person.013427167766.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013427167766.07"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10666-020-09699-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1124793203", 
          "https://doi.org/10.1007/s10666-020-09699-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11869-019-00710-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1116839403", 
          "https://doi.org/10.1007/s11869-019-00710-y"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-07-06", 
    "datePublishedReg": "2022-07-06", 
    "description": "The \u201c13th Five-Year Plan\u201d of civil aviation energy conservation and emission reduction impacts China\u2019s domestic aviation exchanges. However, few researchers pay attrition to the impact of the 13th Five-Year Plan on aviation emissions. This paper intends to calculate the emissions of six pollutants (CO2, CO, HC, NOx, PM2.5, and SO2) in China\u2019s domestic airlines from 2014 to 2019 and explore the impact of the 13th Five-Year Plan on emissions changes. In this paper, the improved BFFM2-FOA-FPM method is used to unify the calculation of CO2 and other aviation emissions. The error rate between the estimate and the official data was about 6.45%. The results show that the 13th Five-Year Plan has impacted on aviation emissions, including the number of routes and airlines, aircraft configuration, air routes, and airline unit turnover emissions. Additionally, the 13th Five-Year Plan\u2019s effect is not significant, and it does not promote the reduction of emissions on domestic routes.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/s41597-022-01494-0", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.8325423", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1050678", 
        "issn": [
          "2052-4463"
        ], 
        "name": "Scientific Data", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "keywords": [
      "calculation of CO2", 
      "reduction of emissions", 
      "aircraft configurations", 
      "aircraft emissions", 
      "emission reduction", 
      "aviation emissions", 
      "energy conservation", 
      "FPM method", 
      "emission", 
      "domestic routes", 
      "domestic airlines", 
      "Five-Year Plan", 
      "air routes", 
      "route", 
      "pollutants", 
      "emission changes", 
      "CO2", 
      "configuration", 
      "reduction", 
      "airlines", 
      "number of routes", 
      "error rate", 
      "plan effects", 
      "calculations", 
      "method", 
      "effect", 
      "impact", 
      "results", 
      "plan", 
      "rate", 
      "official data", 
      "exchange", 
      "estimates", 
      "paper", 
      "data", 
      "number", 
      "researchers", 
      "changes", 
      "conservation", 
      "attrition"
    ], 
    "name": "Accounting for the aircraft emissions of China\u2019s domestic routes during 2014\u20132019", 
    "pagination": "383", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1149252887"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41597-022-01494-0"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "35794155"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41597-022-01494-0", 
      "https://app.dimensions.ai/details/publication/pub.1149252887"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:50", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_937.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/s41597-022-01494-0"
  }
]
 

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.10.1038/s41597-022-01494-0'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41597-022-01494-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41597-022-01494-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41597-022-01494-0'


 

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

124 TRIPLES      21 PREDICATES      67 URIs      57 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41597-022-01494-0 schema:about anzsrc-for:15
2 anzsrc-for:1507
3 schema:author Nff5defc8c20941bc8a090fa33f9ac671
4 schema:citation sg:pub.10.1007/s10666-020-09699-6
5 sg:pub.10.1007/s11869-019-00710-y
6 schema:datePublished 2022-07-06
7 schema:datePublishedReg 2022-07-06
8 schema:description The “13th Five-Year Plan” of civil aviation energy conservation and emission reduction impacts China’s domestic aviation exchanges. However, few researchers pay attrition to the impact of the 13th Five-Year Plan on aviation emissions. This paper intends to calculate the emissions of six pollutants (CO2, CO, HC, NOx, PM2.5, and SO2) in China’s domestic airlines from 2014 to 2019 and explore the impact of the 13th Five-Year Plan on emissions changes. In this paper, the improved BFFM2-FOA-FPM method is used to unify the calculation of CO2 and other aviation emissions. The error rate between the estimate and the official data was about 6.45%. The results show that the 13th Five-Year Plan has impacted on aviation emissions, including the number of routes and airlines, aircraft configuration, air routes, and airline unit turnover emissions. Additionally, the 13th Five-Year Plan’s effect is not significant, and it does not promote the reduction of emissions on domestic routes.
9 schema:genre article
10 schema:isAccessibleForFree true
11 schema:isPartOf Ne94b410efbb44fbf96b684b28292a9eb
12 Nfdd614024d3440d9a284248dbce0a361
13 sg:journal.1050678
14 schema:keywords CO2
15 FPM method
16 Five-Year Plan
17 air routes
18 aircraft configurations
19 aircraft emissions
20 airlines
21 attrition
22 aviation emissions
23 calculation of CO2
24 calculations
25 changes
26 configuration
27 conservation
28 data
29 domestic airlines
30 domestic routes
31 effect
32 emission
33 emission changes
34 emission reduction
35 energy conservation
36 error rate
37 estimates
38 exchange
39 impact
40 method
41 number
42 number of routes
43 official data
44 paper
45 plan
46 plan effects
47 pollutants
48 rate
49 reduction
50 reduction of emissions
51 researchers
52 results
53 route
54 schema:name Accounting for the aircraft emissions of China’s domestic routes during 2014–2019
55 schema:pagination 383
56 schema:productId N69d90c06fd0e4cb992b0e883eac0e216
57 N8e293fb8d6214d7f972f2e81a7875ea2
58 Na1bf171a81a54243896c13eecc3826fb
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1149252887
60 https://doi.org/10.1038/s41597-022-01494-0
61 schema:sdDatePublished 2022-10-01T06:50
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher N1f8206d1277b425ea4def9184346d7b9
64 schema:url https://doi.org/10.1038/s41597-022-01494-0
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N1f8206d1277b425ea4def9184346d7b9 schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 N4a9f1f7f4b0d40ddb7e42546c59f1e06 rdf:first sg:person.013427167766.07
71 rdf:rest rdf:nil
72 N69d90c06fd0e4cb992b0e883eac0e216 schema:name dimensions_id
73 schema:value pub.1149252887
74 rdf:type schema:PropertyValue
75 N8e293fb8d6214d7f972f2e81a7875ea2 schema:name doi
76 schema:value 10.1038/s41597-022-01494-0
77 rdf:type schema:PropertyValue
78 Na1bf171a81a54243896c13eecc3826fb schema:name pubmed_id
79 schema:value 35794155
80 rdf:type schema:PropertyValue
81 Ndb2648236b694156b2782f93319564e1 rdf:first sg:person.014570605126.84
82 rdf:rest N4a9f1f7f4b0d40ddb7e42546c59f1e06
83 Ne94b410efbb44fbf96b684b28292a9eb schema:issueNumber 1
84 rdf:type schema:PublicationIssue
85 Nfdd614024d3440d9a284248dbce0a361 schema:volumeNumber 9
86 rdf:type schema:PublicationVolume
87 Nff5defc8c20941bc8a090fa33f9ac671 rdf:first sg:person.010734534273.54
88 rdf:rest Ndb2648236b694156b2782f93319564e1
89 anzsrc-for:15 schema:inDefinedTermSet anzsrc-for:
90 schema:name Commerce, Management, Tourism and Services
91 rdf:type schema:DefinedTerm
92 anzsrc-for:1507 schema:inDefinedTermSet anzsrc-for:
93 schema:name Transportation and Freight Services
94 rdf:type schema:DefinedTerm
95 sg:grant.8325423 http://pending.schema.org/fundedItem sg:pub.10.1038/s41597-022-01494-0
96 rdf:type schema:MonetaryGrant
97 sg:journal.1050678 schema:issn 2052-4463
98 schema:name Scientific Data
99 schema:publisher Springer Nature
100 rdf:type schema:Periodical
101 sg:person.010734534273.54 schema:affiliation grid-institutes:grid.263826.b
102 schema:familyName Cui
103 schema:givenName Qiang
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010734534273.54
105 rdf:type schema:Person
106 sg:person.013427167766.07 schema:affiliation grid-institutes:grid.263826.b
107 schema:familyName Lei
108 schema:givenName Yi-lin
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013427167766.07
110 rdf:type schema:Person
111 sg:person.014570605126.84 schema:affiliation grid-institutes:grid.263826.b
112 schema:familyName Chen
113 schema:givenName Bin
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014570605126.84
115 rdf:type schema:Person
116 sg:pub.10.1007/s10666-020-09699-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124793203
117 https://doi.org/10.1007/s10666-020-09699-6
118 rdf:type schema:CreativeWork
119 sg:pub.10.1007/s11869-019-00710-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1116839403
120 https://doi.org/10.1007/s11869-019-00710-y
121 rdf:type schema:CreativeWork
122 grid-institutes:grid.263826.b schema:alternateName School of Economics and Management, Southeast University, 211189, Nanjing, China
123 schema:name School of Economics and Management, Southeast University, 211189, Nanjing, China
124 rdf:type schema:Organization
 




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


...