The El Salvador and Philippines Tsunamis of August 2012: Insights from Sea Level Data Analysis and Numerical Modeling View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-12

AUTHORS

Mohammad Heidarzadeh, Kenji Satake

ABSTRACT

We studied two tsunamis from 2012, one generated by the El Salvador earthquake of 27 August (Mw 7.3) and the other generated by the Philippines earthquake of 31 August (Mw 7.6), using sea level data analysis and numerical modeling. For the El Salvador tsunami, the largest wave height was observed in Baltra, Galapagos Islands (71.1 cm) located about 1,400 km away from the source. The tsunami governing periods were around 9 and 19 min. Numerical modeling indicated that most of the tsunami energy was directed towards the Galapagos Islands, explaining the relatively large wave height there. For the Philippines tsunami, the maximum wave height of 30.5 cm was observed at Kushimoto in Japan located about 2,700 km away from the source. The tsunami governing periods were around 8, 12 and 29 min. Numerical modeling showed that a significant part of the far-field tsunami energy was directed towards the southern coast of Japan. Fourier and wavelet analyses as well as numerical modeling suggested that the dominant period of the first wave at stations normal to the fault strike is related to the fault width, while the period of the first wave at stations in the direction of fault strike is representative of the fault length. More... »

PAGES

3437-3455

Journal

TITLE

Pure and Applied Geophysics

ISSUE

12

VOLUME

171

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00024-014-0790-2

DOI

http://dx.doi.org/10.1007/s00024-014-0790-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045682099


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/2008/0404", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geophysics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kiel University", 
          "id": "https://www.grid.ac/institutes/grid.9764.c", 
          "name": [
            "Earthquake Research Institute (ERI), The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032, Tokyo, Japan", 
            "Cluster of Excellence \u201cThe Future Ocean\u201d, Christian-Albrechts University of Kiel, Kiel, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Heidarzadeh", 
        "givenName": "Mohammad", 
        "id": "sg:person.012231624171.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012231624171.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Earthquake Research Institute (ERI), The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Satake", 
        "givenName": "Kenji", 
        "id": "sg:person.015332735501.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015332735501.69"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00024-012-0559-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004307331", 
          "https://doi.org/10.1007/s00024-012-0559-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00024-012-0558-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010148946", 
          "https://doi.org/10.1007/s00024-012-0558-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/jb077i017p03097", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010825113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00024-014-0782-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010859395", 
          "https://doi.org/10.1007/s00024-014-0782-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/90eo00319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011231631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00024-012-0536-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011292356", 
          "https://doi.org/10.1007/s00024-012-0536-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2003jc002113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019548009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033293923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00024-006-0164-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041023221", 
          "https://doi.org/10.1007/s00024-006-0164-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00876912", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042459528", 
          "https://doi.org/10.1007/bf00876912"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/361714a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047140290", 
          "https://doi.org/10.1038/361714a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00024-012-0509-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050070285", 
          "https://doi.org/10.1007/s00024-012-0509-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tau.1967.1161901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061520637"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "We studied two tsunamis from 2012, one generated by the El Salvador earthquake of 27 August (Mw 7.3) and the other generated by the Philippines earthquake of 31 August (Mw 7.6), using sea level data analysis and numerical modeling. For the El Salvador tsunami, the largest wave height was observed in Baltra, Galapagos Islands (71.1 cm) located about 1,400 km away from the source. The tsunami governing periods were around 9 and 19 min. Numerical modeling indicated that most of the tsunami energy was directed towards the Galapagos Islands, explaining the relatively large wave height there. For the Philippines tsunami, the maximum wave height of 30.5 cm was observed at Kushimoto in Japan located about 2,700 km away from the source. The tsunami governing periods were around 8, 12 and 29 min. Numerical modeling showed that a significant part of the far-field tsunami energy was directed towards the southern coast of Japan. Fourier and wavelet analyses as well as numerical modeling suggested that the dominant period of the first wave at stations normal to the fault strike is related to the fault width, while the period of the first wave at stations in the direction of fault strike is representative of the fault length.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00024-014-0790-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136817", 
        "issn": [
          "0033-4553", 
          "1420-9136"
        ], 
        "name": "Pure and Applied Geophysics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "171"
      }
    ], 
    "name": "The El Salvador and Philippines Tsunamis of August 2012: Insights from Sea Level Data Analysis and Numerical Modeling", 
    "pagination": "3437-3455", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d99a9b66ccc9e29d8fc2350c1c6b403463b2b3f44256a2f8c8227b3c8cf4f0dd"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00024-014-0790-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1045682099"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00024-014-0790-2", 
      "https://app.dimensions.ai/details/publication/pub.1045682099"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:43", 
    "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_8684_00000496.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00024-014-0790-2"
  }
]
 

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/s00024-014-0790-2'

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/s00024-014-0790-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00024-014-0790-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00024-014-0790-2'


 

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

119 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00024-014-0790-2 schema:about anzsrc-for:04
2 anzsrc-for:0404
3 schema:author Nbce71256457947d0ae2b3d7d257a3c3a
4 schema:citation sg:pub.10.1007/bf00876912
5 sg:pub.10.1007/s00024-006-0164-5
6 sg:pub.10.1007/s00024-012-0509-1
7 sg:pub.10.1007/s00024-012-0536-y
8 sg:pub.10.1007/s00024-012-0558-5
9 sg:pub.10.1007/s00024-012-0559-4
10 sg:pub.10.1007/s00024-014-0782-2
11 sg:pub.10.1038/361714a0
12 https://doi.org/10.1029/2003jc002113
13 https://doi.org/10.1029/90eo00319
14 https://doi.org/10.1029/jb077i017p03097
15 https://doi.org/10.1109/tau.1967.1161901
16 https://doi.org/10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2
17 schema:datePublished 2014-12
18 schema:datePublishedReg 2014-12-01
19 schema:description We studied two tsunamis from 2012, one generated by the El Salvador earthquake of 27 August (Mw 7.3) and the other generated by the Philippines earthquake of 31 August (Mw 7.6), using sea level data analysis and numerical modeling. For the El Salvador tsunami, the largest wave height was observed in Baltra, Galapagos Islands (71.1 cm) located about 1,400 km away from the source. The tsunami governing periods were around 9 and 19 min. Numerical modeling indicated that most of the tsunami energy was directed towards the Galapagos Islands, explaining the relatively large wave height there. For the Philippines tsunami, the maximum wave height of 30.5 cm was observed at Kushimoto in Japan located about 2,700 km away from the source. The tsunami governing periods were around 8, 12 and 29 min. Numerical modeling showed that a significant part of the far-field tsunami energy was directed towards the southern coast of Japan. Fourier and wavelet analyses as well as numerical modeling suggested that the dominant period of the first wave at stations normal to the fault strike is related to the fault width, while the period of the first wave at stations in the direction of fault strike is representative of the fault length.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N2fb9ff8a48d44b7b94438736db2297bd
24 N500086ce362f49cbbed51309a1ffb117
25 sg:journal.1136817
26 schema:name The El Salvador and Philippines Tsunamis of August 2012: Insights from Sea Level Data Analysis and Numerical Modeling
27 schema:pagination 3437-3455
28 schema:productId N03db8818c974473eb09bfa179cc47921
29 N88f0bdfe1e4d45398c66c45006716795
30 Ncdba537e6e904f4c86291f54039a1361
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045682099
32 https://doi.org/10.1007/s00024-014-0790-2
33 schema:sdDatePublished 2019-04-10T20:43
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher Nc6dc4ddd64074f4498f12bd394a2cb40
36 schema:url http://link.springer.com/10.1007/s00024-014-0790-2
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N03db8818c974473eb09bfa179cc47921 schema:name doi
41 schema:value 10.1007/s00024-014-0790-2
42 rdf:type schema:PropertyValue
43 N2fb9ff8a48d44b7b94438736db2297bd schema:volumeNumber 171
44 rdf:type schema:PublicationVolume
45 N500086ce362f49cbbed51309a1ffb117 schema:issueNumber 12
46 rdf:type schema:PublicationIssue
47 N88f0bdfe1e4d45398c66c45006716795 schema:name readcube_id
48 schema:value d99a9b66ccc9e29d8fc2350c1c6b403463b2b3f44256a2f8c8227b3c8cf4f0dd
49 rdf:type schema:PropertyValue
50 Na044b4efca4d4970b7e9bb7532401dd2 rdf:first sg:person.015332735501.69
51 rdf:rest rdf:nil
52 Nbce71256457947d0ae2b3d7d257a3c3a rdf:first sg:person.012231624171.19
53 rdf:rest Na044b4efca4d4970b7e9bb7532401dd2
54 Nc6dc4ddd64074f4498f12bd394a2cb40 schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 Ncdba537e6e904f4c86291f54039a1361 schema:name dimensions_id
57 schema:value pub.1045682099
58 rdf:type schema:PropertyValue
59 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
60 schema:name Earth Sciences
61 rdf:type schema:DefinedTerm
62 anzsrc-for:0404 schema:inDefinedTermSet anzsrc-for:
63 schema:name Geophysics
64 rdf:type schema:DefinedTerm
65 sg:journal.1136817 schema:issn 0033-4553
66 1420-9136
67 schema:name Pure and Applied Geophysics
68 rdf:type schema:Periodical
69 sg:person.012231624171.19 schema:affiliation https://www.grid.ac/institutes/grid.9764.c
70 schema:familyName Heidarzadeh
71 schema:givenName Mohammad
72 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012231624171.19
73 rdf:type schema:Person
74 sg:person.015332735501.69 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
75 schema:familyName Satake
76 schema:givenName Kenji
77 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015332735501.69
78 rdf:type schema:Person
79 sg:pub.10.1007/bf00876912 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042459528
80 https://doi.org/10.1007/bf00876912
81 rdf:type schema:CreativeWork
82 sg:pub.10.1007/s00024-006-0164-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041023221
83 https://doi.org/10.1007/s00024-006-0164-5
84 rdf:type schema:CreativeWork
85 sg:pub.10.1007/s00024-012-0509-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050070285
86 https://doi.org/10.1007/s00024-012-0509-1
87 rdf:type schema:CreativeWork
88 sg:pub.10.1007/s00024-012-0536-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1011292356
89 https://doi.org/10.1007/s00024-012-0536-y
90 rdf:type schema:CreativeWork
91 sg:pub.10.1007/s00024-012-0558-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010148946
92 https://doi.org/10.1007/s00024-012-0558-5
93 rdf:type schema:CreativeWork
94 sg:pub.10.1007/s00024-012-0559-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004307331
95 https://doi.org/10.1007/s00024-012-0559-4
96 rdf:type schema:CreativeWork
97 sg:pub.10.1007/s00024-014-0782-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010859395
98 https://doi.org/10.1007/s00024-014-0782-2
99 rdf:type schema:CreativeWork
100 sg:pub.10.1038/361714a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047140290
101 https://doi.org/10.1038/361714a0
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1029/2003jc002113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019548009
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1029/90eo00319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011231631
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1029/jb077i017p03097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010825113
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1109/tau.1967.1161901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061520637
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033293923
112 rdf:type schema:CreativeWork
113 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
114 schema:name Earthquake Research Institute (ERI), The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032, Tokyo, Japan
115 rdf:type schema:Organization
116 https://www.grid.ac/institutes/grid.9764.c schema:alternateName Kiel University
117 schema:name Cluster of Excellence “The Future Ocean”, Christian-Albrechts University of Kiel, Kiel, Germany
118 Earthquake Research Institute (ERI), The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032, Tokyo, Japan
119 rdf:type schema:Organization
 




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


...