Some Aspects of Energy Balance and Tsunami Generation by Earthquakes and Landslides View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2003-10

AUTHORS

L. J. Ruff

ABSTRACT

— Tsunamis are generated by displacement or motion of large volumes of water. While there are several documented cases of tsunami generation by volcanic eruptions and landslides, most observed tsunamis are attributed to earthquakes. Kinematic models of tsunami generation by earthquakes — where specified fault size and slip determine seafloor and sea-surface vertical motion — quantitatively explain far-field tsunami wave records. On the other hand, submarine landslides in subduction zones and other tectonic settings can generate large tsunamis that are hazardous along near-source coasts. Furthermore, the ongoing exploration of the oceans has found evidence for large paleo-landslides in many places, not just subduction zones. Thus, we want to know the relative contribution of faulting and landslides to tsunami generation. For earthquakes, only a small fraction of the minimum earthquake energy (less than 1% for typical parameter choices for shallow underthrusting earthquakes) can be converted into tsunami wave energy; yet, this is enough energy to generate terrible tsunamis. For submarine landslides, tsunami wave generation and landslide motion interact in a dynamic coupling. The dynamic problem of a 2-D translational slider block on a constant-angle slope can be solved using a Green's function approach for the wave transients. The key result is that the largest waves are generated when the ratio of initial water depth above the block to downslope vertical drop of the block H0/W sin δ is less than 1. The conversion factor of gravitational energy into tsunami wave energy varies from 0% for a slow-velocity slide in deep water, to about 50% for a fast-velocity slide in shallow water and a motion abruptly truncated. To compare maximum tsunami wave amplitudes in the source region, great earthquakes produce amplitudes of a few meters at a wavelength fixed by the fault width of 100 km or so. For submarine landslides, tsunami wave heights — as measured by b, block height — are small for most of the parameter regime. However, for low initial dynamic friction and values of H0/W sin δ less than 1, tsunami wave heights in the downslope and upslope directions reach b and b/4, respectively.Wavelengths of these large waves scale with block width. For significant submarine slides, the value of b can range from meters up to the kilometer scale. Thus, the extreme case of efficient tsunami generation by landslides produces dramatic hazards scenarios. More... »

PAGES

2155-2176

Journal

TITLE

Pure and Applied Geophysics

ISSUE

10-11

VOLUME

160

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00024-003-2424-y

DOI

http://dx.doi.org/10.1007/s00024-003-2424-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009735460


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/2008/0403", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geology", 
        "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": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Department of Geological Sciences, University of Michigan, Ann Arbor, MI, U.S.A"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ruff", 
        "givenName": "L. J.", 
        "id": "sg:person.014667717255.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014667717255.19"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1029/92jb02045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002997201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0955-7997(99)00021-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008162625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.ea.22.050194.001003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010308809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00874383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027252107", 
          "https://doi.org/10.1007/bf00874383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00874382", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032862739", 
          "https://doi.org/10.1007/bf00874382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00874382", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032862739", 
          "https://doi.org/10.1007/bf00874382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/95rg03287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033303474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/jb082i020p02981", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033946860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00874378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038848499", 
          "https://doi.org/10.1007/bf00874378"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/1999gl005392", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041191576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/0091-7613(1985)13<538:ssatco>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041535491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/94gl03219", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041709196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.1977.tb01298.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043499350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/99eo00065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050436333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)0733-950x(1998)124:3(127)", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057607391"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2003-10", 
    "datePublishedReg": "2003-10-01", 
    "description": "\u2014 Tsunamis are generated by displacement or motion of large volumes of water. While there are several documented cases of tsunami generation by volcanic eruptions and landslides, most observed tsunamis are attributed to earthquakes. Kinematic models of tsunami generation by earthquakes \u2014 where specified fault size and slip determine seafloor and sea-surface vertical motion \u2014 quantitatively explain far-field tsunami wave records. On the other hand, submarine landslides in subduction zones and other tectonic settings can generate large tsunamis that are hazardous along near-source coasts. Furthermore, the ongoing exploration of the oceans has found evidence for large paleo-landslides in many places, not just subduction zones. Thus, we want to know the relative contribution of faulting and landslides to tsunami generation. For earthquakes, only a small fraction of the minimum earthquake energy (less than 1% for typical parameter choices for shallow underthrusting earthquakes) can be converted into tsunami wave energy; yet, this is enough energy to generate terrible tsunamis. For submarine landslides, tsunami wave generation and landslide motion interact in a dynamic coupling. The dynamic problem of a 2-D translational slider block on a constant-angle slope can be solved using a Green's function approach for the wave transients. The key result is that the largest waves are generated when the ratio of initial water depth above the block to downslope vertical drop of the block H0/W sin \u03b4 is less than 1. The conversion factor of gravitational energy into tsunami wave energy varies from 0% for a slow-velocity slide in deep water, to about 50% for a fast-velocity slide in shallow water and a motion abruptly truncated. To compare maximum tsunami wave amplitudes in the source region, great earthquakes produce amplitudes of a few meters at a wavelength fixed by the fault width of 100 km or so. For submarine landslides, tsunami wave heights \u2014 as measured by b, block height \u2014 are small for most of the parameter regime. However, for low initial dynamic friction and values of H0/W sin \u03b4 less than 1, tsunami wave heights in the downslope and upslope directions reach b and b/4, respectively.Wavelengths of these large waves scale with block width. For significant submarine slides, the value of b can range from meters up to the kilometer scale. Thus, the extreme case of efficient tsunami generation by landslides produces dramatic hazards scenarios.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00024-003-2424-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136817", 
        "issn": [
          "0033-4553", 
          "1420-9136"
        ], 
        "name": "Pure and Applied Geophysics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10-11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "160"
      }
    ], 
    "name": "Some Aspects of Energy Balance and Tsunami Generation by Earthquakes and Landslides", 
    "pagination": "2155-2176", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2e60d16e97424ba49eb6315bf8e800dee119a126b06bb334f2b623b9bae297ea"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00024-003-2424-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1009735460"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00024-003-2424-y", 
      "https://app.dimensions.ai/details/publication/pub.1009735460"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:28", 
    "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_8690_00000494.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00024-003-2424-y"
  }
]
 

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/s00024-003-2424-y'

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/s00024-003-2424-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00024-003-2424-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00024-003-2424-y'


 

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

106 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00024-003-2424-y schema:about anzsrc-for:04
2 anzsrc-for:0403
3 schema:author N8250b1afe9464a4ab2f48f06e75fdb27
4 schema:citation sg:pub.10.1007/bf00874378
5 sg:pub.10.1007/bf00874382
6 sg:pub.10.1007/bf00874383
7 https://doi.org/10.1016/s0955-7997(99)00021-1
8 https://doi.org/10.1029/1999gl005392
9 https://doi.org/10.1029/92jb02045
10 https://doi.org/10.1029/94gl03219
11 https://doi.org/10.1029/95rg03287
12 https://doi.org/10.1029/99eo00065
13 https://doi.org/10.1029/jb082i020p02981
14 https://doi.org/10.1061/(asce)0733-950x(1998)124:3(127)
15 https://doi.org/10.1111/j.1365-246x.1977.tb01298.x
16 https://doi.org/10.1130/0091-7613(1985)13<538:ssatco>2.0.co;2
17 https://doi.org/10.1146/annurev.ea.22.050194.001003
18 schema:datePublished 2003-10
19 schema:datePublishedReg 2003-10-01
20 schema:description — Tsunamis are generated by displacement or motion of large volumes of water. While there are several documented cases of tsunami generation by volcanic eruptions and landslides, most observed tsunamis are attributed to earthquakes. Kinematic models of tsunami generation by earthquakes — where specified fault size and slip determine seafloor and sea-surface vertical motion — quantitatively explain far-field tsunami wave records. On the other hand, submarine landslides in subduction zones and other tectonic settings can generate large tsunamis that are hazardous along near-source coasts. Furthermore, the ongoing exploration of the oceans has found evidence for large paleo-landslides in many places, not just subduction zones. Thus, we want to know the relative contribution of faulting and landslides to tsunami generation. For earthquakes, only a small fraction of the minimum earthquake energy (less than 1% for typical parameter choices for shallow underthrusting earthquakes) can be converted into tsunami wave energy; yet, this is enough energy to generate terrible tsunamis. For submarine landslides, tsunami wave generation and landslide motion interact in a dynamic coupling. The dynamic problem of a 2-D translational slider block on a constant-angle slope can be solved using a Green's function approach for the wave transients. The key result is that the largest waves are generated when the ratio of initial water depth above the block to downslope vertical drop of the block H0/W sin δ is less than 1. The conversion factor of gravitational energy into tsunami wave energy varies from 0% for a slow-velocity slide in deep water, to about 50% for a fast-velocity slide in shallow water and a motion abruptly truncated. To compare maximum tsunami wave amplitudes in the source region, great earthquakes produce amplitudes of a few meters at a wavelength fixed by the fault width of 100 km or so. For submarine landslides, tsunami wave heights — as measured by b, block height — are small for most of the parameter regime. However, for low initial dynamic friction and values of H0/W sin δ less than 1, tsunami wave heights in the downslope and upslope directions reach b and b/4, respectively.Wavelengths of these large waves scale with block width. For significant submarine slides, the value of b can range from meters up to the kilometer scale. Thus, the extreme case of efficient tsunami generation by landslides produces dramatic hazards scenarios.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N7a885d19e63c44eb852d47929d15fe8c
25 Nde48deb35890422387c8255d046f4c20
26 sg:journal.1136817
27 schema:name Some Aspects of Energy Balance and Tsunami Generation by Earthquakes and Landslides
28 schema:pagination 2155-2176
29 schema:productId N66ece1fab72c4b5680ca3cab9a2e53bd
30 Nbc86332bf4af4ebb80a6de97c031c4ec
31 Nc592f4fc63d14771b92b1f64ce293e8b
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009735460
33 https://doi.org/10.1007/s00024-003-2424-y
34 schema:sdDatePublished 2019-04-10T22:28
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N439f808c25364220a060d186fb9f261d
37 schema:url http://link.springer.com/10.1007/s00024-003-2424-y
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N439f808c25364220a060d186fb9f261d schema:name Springer Nature - SN SciGraph project
42 rdf:type schema:Organization
43 N66ece1fab72c4b5680ca3cab9a2e53bd schema:name dimensions_id
44 schema:value pub.1009735460
45 rdf:type schema:PropertyValue
46 N7a885d19e63c44eb852d47929d15fe8c schema:volumeNumber 160
47 rdf:type schema:PublicationVolume
48 N8250b1afe9464a4ab2f48f06e75fdb27 rdf:first sg:person.014667717255.19
49 rdf:rest rdf:nil
50 Nbc86332bf4af4ebb80a6de97c031c4ec schema:name readcube_id
51 schema:value 2e60d16e97424ba49eb6315bf8e800dee119a126b06bb334f2b623b9bae297ea
52 rdf:type schema:PropertyValue
53 Nc592f4fc63d14771b92b1f64ce293e8b schema:name doi
54 schema:value 10.1007/s00024-003-2424-y
55 rdf:type schema:PropertyValue
56 Nde48deb35890422387c8255d046f4c20 schema:issueNumber 10-11
57 rdf:type schema:PublicationIssue
58 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
59 schema:name Earth Sciences
60 rdf:type schema:DefinedTerm
61 anzsrc-for:0403 schema:inDefinedTermSet anzsrc-for:
62 schema:name Geology
63 rdf:type schema:DefinedTerm
64 sg:journal.1136817 schema:issn 0033-4553
65 1420-9136
66 schema:name Pure and Applied Geophysics
67 rdf:type schema:Periodical
68 sg:person.014667717255.19 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
69 schema:familyName Ruff
70 schema:givenName L. J.
71 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014667717255.19
72 rdf:type schema:Person
73 sg:pub.10.1007/bf00874378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038848499
74 https://doi.org/10.1007/bf00874378
75 rdf:type schema:CreativeWork
76 sg:pub.10.1007/bf00874382 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032862739
77 https://doi.org/10.1007/bf00874382
78 rdf:type schema:CreativeWork
79 sg:pub.10.1007/bf00874383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027252107
80 https://doi.org/10.1007/bf00874383
81 rdf:type schema:CreativeWork
82 https://doi.org/10.1016/s0955-7997(99)00021-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008162625
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1029/1999gl005392 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041191576
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1029/92jb02045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002997201
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1029/94gl03219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041709196
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1029/95rg03287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033303474
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1029/99eo00065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050436333
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1029/jb082i020p02981 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033946860
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1061/(asce)0733-950x(1998)124:3(127) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057607391
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1111/j.1365-246x.1977.tb01298.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043499350
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1130/0091-7613(1985)13<538:ssatco>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041535491
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1146/annurev.ea.22.050194.001003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010308809
103 rdf:type schema:CreativeWork
104 https://www.grid.ac/institutes/grid.214458.e schema:alternateName University of Michigan–Ann Arbor
105 schema:name Department of Geological Sciences, University of Michigan, Ann Arbor, MI, U.S.A
106 rdf:type schema:Organization
 




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


...