Modeling Forest Fire Spread Through a Game Method for Modeling Based on Hexagonal Cells View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014-06-26

AUTHORS

Evdokia Sotirova , Emilia Velizarova , Stefka Fidanova , Krassimir Atanassov

ABSTRACT

A mathematical model for predicting the spread of a fire front in homogeneous and inhomogeneous forest is presented. It is based on the application of the game method for modeling with hexagonal lattice. The results of the modeling show the advantage of using hexagonal cells for the forest areas considered, thus avoiding the limitations of spurious symmetries of the square cells used in previous studies. Further validation of the model developed with a real case of forest fire is foreseen. More... »

PAGES

321-328

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-43880-0_36

DOI

http://dx.doi.org/10.1007/978-3-662-43880-0_36

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001483452


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/2008/07", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Agricultural and Veterinary Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0705", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Forestry Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Prof. Asen Zlatarov University, 8000, Bourgas, Bulgaria", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Prof. Asen Zlatarov University, 8000, Bourgas, Bulgaria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sotirova", 
        "givenName": "Evdokia", 
        "id": "sg:person.010070351761.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010070351761.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "FRI \u2013 BAS, St. Kl. Ohridski Blvd. 132, 1756, Sofia, Bulgaria", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "FRI \u2013 BAS, St. Kl. Ohridski Blvd. 132, 1756, Sofia, Bulgaria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Velizarova", 
        "givenName": "Emilia", 
        "id": "sg:person.07534440750.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07534440750.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "IICT \u2013 BAS, Acad. G. Bonchev Str. Bl25A, 1113, Sofia, Bulgaria", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "IICT \u2013 BAS, Acad. G. Bonchev Str. Bl25A, 1113, Sofia, Bulgaria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fidanova", 
        "givenName": "Stefka", 
        "id": "sg:person.011173106320.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011173106320.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "IBPhBME \u2013 BAS, Acad. G. Bonchev Str., Block 105, 1113, Sofia, Bulgaria", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "IBPhBME \u2013 BAS, Acad. G. Bonchev Str., Block 105, 1113, Sofia, Bulgaria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Atanassov", 
        "givenName": "Krassimir", 
        "id": "sg:person.013707162366.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013707162366.18"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2014-06-26", 
    "datePublishedReg": "2014-06-26", 
    "description": "A mathematical model for predicting the spread of a fire front in homogeneous and inhomogeneous forest is presented. It is based on the application of the game method for modeling with hexagonal lattice. The results of the modeling show the advantage of using hexagonal cells for the forest areas considered, thus avoiding the limitations of spurious symmetries of the square cells used in previous studies. Further validation of the model developed with a real case of forest fire is foreseen.", 
    "editor": [
      {
        "familyName": "Lirkov", 
        "givenName": "Ivan", 
        "type": "Person"
      }, 
      {
        "familyName": "Margenov", 
        "givenName": "Svetozar", 
        "type": "Person"
      }, 
      {
        "familyName": "Wa\u015bniewski", 
        "givenName": "Jerzy", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-662-43880-0_36", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-662-43879-4", 
        "978-3-662-43880-0"
      ], 
      "name": "Large-Scale Scientific Computing", 
      "type": "Book"
    }, 
    "keywords": [
      "mathematical model", 
      "spurious symmetries", 
      "Modeling Based", 
      "square cells", 
      "hexagonal lattice", 
      "hexagonal cells", 
      "game method", 
      "fire front", 
      "real case", 
      "inhomogeneous forest", 
      "symmetry", 
      "lattice", 
      "model", 
      "modeling", 
      "applications", 
      "front", 
      "Based", 
      "advantages", 
      "forest fires", 
      "cases", 
      "results", 
      "validation", 
      "limitations", 
      "spread", 
      "further validation", 
      "area", 
      "previous studies", 
      "fire", 
      "study", 
      "forest", 
      "forest area", 
      "cells", 
      "method"
    ], 
    "name": "Modeling Forest Fire Spread Through a Game Method for Modeling Based on Hexagonal Cells", 
    "pagination": "321-328", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001483452"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-662-43880-0_36"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-662-43880-0_36", 
      "https://app.dimensions.ai/details/publication/pub.1001483452"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-05-20T07:49", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/chapter/chapter_84.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-662-43880-0_36"
  }
]
 

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.10.1007/978-3-662-43880-0_36'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-43880-0_36'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-43880-0_36'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-43880-0_36'


 

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

130 TRIPLES      23 PREDICATES      58 URIs      51 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-662-43880-0_36 schema:about anzsrc-for:07
2 anzsrc-for:0705
3 schema:author N6f90031cba294e07b396a40c7e72dfbc
4 schema:datePublished 2014-06-26
5 schema:datePublishedReg 2014-06-26
6 schema:description A mathematical model for predicting the spread of a fire front in homogeneous and inhomogeneous forest is presented. It is based on the application of the game method for modeling with hexagonal lattice. The results of the modeling show the advantage of using hexagonal cells for the forest areas considered, thus avoiding the limitations of spurious symmetries of the square cells used in previous studies. Further validation of the model developed with a real case of forest fire is foreseen.
7 schema:editor N4c0e58e4cbe746358d2d06a48e87a1b2
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Na8e76611ca9c4deea98e19043f991cb4
12 schema:keywords Based
13 Modeling Based
14 advantages
15 applications
16 area
17 cases
18 cells
19 fire
20 fire front
21 forest
22 forest area
23 forest fires
24 front
25 further validation
26 game method
27 hexagonal cells
28 hexagonal lattice
29 inhomogeneous forest
30 lattice
31 limitations
32 mathematical model
33 method
34 model
35 modeling
36 previous studies
37 real case
38 results
39 spread
40 spurious symmetries
41 square cells
42 study
43 symmetry
44 validation
45 schema:name Modeling Forest Fire Spread Through a Game Method for Modeling Based on Hexagonal Cells
46 schema:pagination 321-328
47 schema:productId N4961b72d85964520a59af2df1b439050
48 Ncbee82fc02574958805c48b26811eb55
49 schema:publisher N09a8b456e9ea499b9e8b94af0f620895
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001483452
51 https://doi.org/10.1007/978-3-662-43880-0_36
52 schema:sdDatePublished 2022-05-20T07:49
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher N6af22f3d8fc144329acb54fd15d959d2
55 schema:url https://doi.org/10.1007/978-3-662-43880-0_36
56 sgo:license sg:explorer/license/
57 sgo:sdDataset chapters
58 rdf:type schema:Chapter
59 N09a8b456e9ea499b9e8b94af0f620895 schema:name Springer Nature
60 rdf:type schema:Organisation
61 N278d167eaf9b49c392016697d07a64be rdf:first sg:person.013707162366.18
62 rdf:rest rdf:nil
63 N379f3814a9ce4af3ae1d0f73ecd0325f schema:familyName Waśniewski
64 schema:givenName Jerzy
65 rdf:type schema:Person
66 N4961b72d85964520a59af2df1b439050 schema:name dimensions_id
67 schema:value pub.1001483452
68 rdf:type schema:PropertyValue
69 N4c0e58e4cbe746358d2d06a48e87a1b2 rdf:first N76f3c55336fd47d6a6c8503a762fd5bb
70 rdf:rest Nee38cb3f9c4b45a68ada83d3a0f15eed
71 N6af22f3d8fc144329acb54fd15d959d2 schema:name Springer Nature - SN SciGraph project
72 rdf:type schema:Organization
73 N6f90031cba294e07b396a40c7e72dfbc rdf:first sg:person.010070351761.60
74 rdf:rest N7374d5aa22404f208c8f783470ac9174
75 N7374d5aa22404f208c8f783470ac9174 rdf:first sg:person.07534440750.65
76 rdf:rest Nc3b2c7788f434802a0007dcba7ddcd17
77 N76f3c55336fd47d6a6c8503a762fd5bb schema:familyName Lirkov
78 schema:givenName Ivan
79 rdf:type schema:Person
80 N826109087b594c97ab5e2450ed848daf rdf:first N379f3814a9ce4af3ae1d0f73ecd0325f
81 rdf:rest rdf:nil
82 Na8e76611ca9c4deea98e19043f991cb4 schema:isbn 978-3-662-43879-4
83 978-3-662-43880-0
84 schema:name Large-Scale Scientific Computing
85 rdf:type schema:Book
86 Nc3b2c7788f434802a0007dcba7ddcd17 rdf:first sg:person.011173106320.18
87 rdf:rest N278d167eaf9b49c392016697d07a64be
88 Ncbee82fc02574958805c48b26811eb55 schema:name doi
89 schema:value 10.1007/978-3-662-43880-0_36
90 rdf:type schema:PropertyValue
91 Ne6ff2818314f4bf1aa4d8e32a4e5c1a6 schema:familyName Margenov
92 schema:givenName Svetozar
93 rdf:type schema:Person
94 Nee38cb3f9c4b45a68ada83d3a0f15eed rdf:first Ne6ff2818314f4bf1aa4d8e32a4e5c1a6
95 rdf:rest N826109087b594c97ab5e2450ed848daf
96 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
97 schema:name Agricultural and Veterinary Sciences
98 rdf:type schema:DefinedTerm
99 anzsrc-for:0705 schema:inDefinedTermSet anzsrc-for:
100 schema:name Forestry Sciences
101 rdf:type schema:DefinedTerm
102 sg:person.010070351761.60 schema:affiliation grid-institutes:None
103 schema:familyName Sotirova
104 schema:givenName Evdokia
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010070351761.60
106 rdf:type schema:Person
107 sg:person.011173106320.18 schema:affiliation grid-institutes:None
108 schema:familyName Fidanova
109 schema:givenName Stefka
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011173106320.18
111 rdf:type schema:Person
112 sg:person.013707162366.18 schema:affiliation grid-institutes:None
113 schema:familyName Atanassov
114 schema:givenName Krassimir
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013707162366.18
116 rdf:type schema:Person
117 sg:person.07534440750.65 schema:affiliation grid-institutes:None
118 schema:familyName Velizarova
119 schema:givenName Emilia
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07534440750.65
121 rdf:type schema:Person
122 grid-institutes:None schema:alternateName FRI – BAS, St. Kl. Ohridski Blvd. 132, 1756, Sofia, Bulgaria
123 IBPhBME – BAS, Acad. G. Bonchev Str., Block 105, 1113, Sofia, Bulgaria
124 IICT – BAS, Acad. G. Bonchev Str. Bl25A, 1113, Sofia, Bulgaria
125 Prof. Asen Zlatarov University, 8000, Bourgas, Bulgaria
126 schema:name FRI – BAS, St. Kl. Ohridski Blvd. 132, 1756, Sofia, Bulgaria
127 IBPhBME – BAS, Acad. G. Bonchev Str., Block 105, 1113, Sofia, Bulgaria
128 IICT – BAS, Acad. G. Bonchev Str. Bl25A, 1113, Sofia, Bulgaria
129 Prof. Asen Zlatarov University, 8000, Bourgas, Bulgaria
130 rdf:type schema:Organization
 




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


...