Validation of Visually Observed Waves with the Recorded Waves on the Southwest Coast of India View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-03

AUTHORS

P. K. Abdulla, E. J. James

ABSTRACT

The wave climate, pre-requisite information for planning and design of coastal engineering structures, can be obtained by different methods. Coastal protection works require wave climate in the nearshore region; deployment of wave sensors and visual observation of the waves from the shore are among the methods that can be adopted for collecting the wave data. On the southwest coast of India (Kerala), wave data have been collected by visual observation from the shore, at 18 stations located along the entire coastline since 1973. The pressure type wave sensors were installed in the nearshore region at four stations, almost equally spaced along the coast and data acquired for a period of 4 years. Of the four instrument stations, two were located at the visual observation station itself, the third one was about 7 km from the nearest visual observation station and the fourth station midway between two visual observation stations—the distance between the instrument station and the visual observation stations being about 20 km. Study revealed that the visually observed wave parameters are comparable with the wave parameters acquired by the instrument, particularly with respect to the wave height. More... »

PAGES

141-153

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40030-017-0231-1

DOI

http://dx.doi.org/10.1007/s40030-017-0231-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092634930


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/2008/0911", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Maritime Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centre for Water Resources Development and Management", 
          "id": "https://www.grid.ac/institutes/grid.464826.a", 
          "name": [
            "Centre for Water Resources Development and Management, Kozhikode, Kerala, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Abdulla", 
        "givenName": "P. K.", 
        "id": "sg:person.014445424657.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014445424657.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Karunya University", 
          "id": "https://www.grid.ac/institutes/grid.412056.4", 
          "name": [
            "Karunya University, Coimbatore, Tamil Nadu, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "James", 
        "givenName": "E. J.", 
        "id": "sg:person.015243005257.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015243005257.09"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1061/9780872620285.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1097150109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/9780872620131.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1097232596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5962/bhl.title.47403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099542771"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-03", 
    "datePublishedReg": "2018-03-01", 
    "description": "The wave climate, pre-requisite information for planning and design of coastal engineering structures, can be obtained by different methods. Coastal protection works require wave climate in the nearshore region; deployment of wave sensors and visual observation of the waves from the shore are among the methods that can be adopted for collecting the wave data. On the southwest coast of India (Kerala), wave data have been collected by visual observation from the shore, at 18 stations located along the entire coastline since 1973. The pressure type wave sensors were installed in the nearshore region at four stations, almost equally spaced along the coast and data acquired for a period of 4 years. Of the four instrument stations, two were located at the visual observation station itself, the third one was about 7 km from the nearest visual observation station and the fourth station midway between two visual observation stations\u2014the distance between the instrument station and the visual observation stations being about 20 km. Study revealed that the visually observed wave parameters are comparable with the wave parameters acquired by the instrument, particularly with respect to the wave height.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s40030-017-0231-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135971", 
        "issn": [
          "2250-2149", 
          "2250-2157"
        ], 
        "name": "Journal of The Institution of Engineers (India): Series A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "99"
      }
    ], 
    "name": "Validation of Visually Observed Waves with the Recorded Waves on the Southwest Coast of India", 
    "pagination": "141-153", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fe7a6929b486ed2b264245f6cf33975bd87cc81a7112a2b0fc633f328ec6e48a"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s40030-017-0231-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092634930"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s40030-017-0231-1", 
      "https://app.dimensions.ai/details/publication/pub.1092634930"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:40", 
    "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_00000609.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs40030-017-0231-1"
  }
]
 

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/s40030-017-0231-1'

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/s40030-017-0231-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40030-017-0231-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40030-017-0231-1'


 

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

80 TRIPLES      21 PREDICATES      30 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s40030-017-0231-1 schema:about anzsrc-for:09
2 anzsrc-for:0911
3 schema:author N3aabaab0d17047408c2370df1a31b838
4 schema:citation https://doi.org/10.1061/9780872620131.017
5 https://doi.org/10.1061/9780872620285.045
6 https://doi.org/10.5962/bhl.title.47403
7 schema:datePublished 2018-03
8 schema:datePublishedReg 2018-03-01
9 schema:description The wave climate, pre-requisite information for planning and design of coastal engineering structures, can be obtained by different methods. Coastal protection works require wave climate in the nearshore region; deployment of wave sensors and visual observation of the waves from the shore are among the methods that can be adopted for collecting the wave data. On the southwest coast of India (Kerala), wave data have been collected by visual observation from the shore, at 18 stations located along the entire coastline since 1973. The pressure type wave sensors were installed in the nearshore region at four stations, almost equally spaced along the coast and data acquired for a period of 4 years. Of the four instrument stations, two were located at the visual observation station itself, the third one was about 7 km from the nearest visual observation station and the fourth station midway between two visual observation stations—the distance between the instrument station and the visual observation stations being about 20 km. Study revealed that the visually observed wave parameters are comparable with the wave parameters acquired by the instrument, particularly with respect to the wave height.
10 schema:genre research_article
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf N41324ca3f5ee48828c5f54b9dce95673
14 N5278f771d41c4d448560537e3b624766
15 sg:journal.1135971
16 schema:name Validation of Visually Observed Waves with the Recorded Waves on the Southwest Coast of India
17 schema:pagination 141-153
18 schema:productId N9e02d32ac1be468081267b81b9f70439
19 Nc74c9678d2144885b19c1f524f793076
20 Nef58f62fb38b4f16a7d531a12d003274
21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092634930
22 https://doi.org/10.1007/s40030-017-0231-1
23 schema:sdDatePublished 2019-04-10T23:40
24 schema:sdLicense https://scigraph.springernature.com/explorer/license/
25 schema:sdPublisher N0794c69fc7fc40c49591d9986e79e949
26 schema:url https://link.springer.com/10.1007%2Fs40030-017-0231-1
27 sgo:license sg:explorer/license/
28 sgo:sdDataset articles
29 rdf:type schema:ScholarlyArticle
30 N0794c69fc7fc40c49591d9986e79e949 schema:name Springer Nature - SN SciGraph project
31 rdf:type schema:Organization
32 N08944aa674114fd28287c616c3024edf rdf:first sg:person.015243005257.09
33 rdf:rest rdf:nil
34 N3aabaab0d17047408c2370df1a31b838 rdf:first sg:person.014445424657.22
35 rdf:rest N08944aa674114fd28287c616c3024edf
36 N41324ca3f5ee48828c5f54b9dce95673 schema:volumeNumber 99
37 rdf:type schema:PublicationVolume
38 N5278f771d41c4d448560537e3b624766 schema:issueNumber 1
39 rdf:type schema:PublicationIssue
40 N9e02d32ac1be468081267b81b9f70439 schema:name doi
41 schema:value 10.1007/s40030-017-0231-1
42 rdf:type schema:PropertyValue
43 Nc74c9678d2144885b19c1f524f793076 schema:name dimensions_id
44 schema:value pub.1092634930
45 rdf:type schema:PropertyValue
46 Nef58f62fb38b4f16a7d531a12d003274 schema:name readcube_id
47 schema:value fe7a6929b486ed2b264245f6cf33975bd87cc81a7112a2b0fc633f328ec6e48a
48 rdf:type schema:PropertyValue
49 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
50 schema:name Engineering
51 rdf:type schema:DefinedTerm
52 anzsrc-for:0911 schema:inDefinedTermSet anzsrc-for:
53 schema:name Maritime Engineering
54 rdf:type schema:DefinedTerm
55 sg:journal.1135971 schema:issn 2250-2149
56 2250-2157
57 schema:name Journal of The Institution of Engineers (India): Series A
58 rdf:type schema:Periodical
59 sg:person.014445424657.22 schema:affiliation https://www.grid.ac/institutes/grid.464826.a
60 schema:familyName Abdulla
61 schema:givenName P. K.
62 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014445424657.22
63 rdf:type schema:Person
64 sg:person.015243005257.09 schema:affiliation https://www.grid.ac/institutes/grid.412056.4
65 schema:familyName James
66 schema:givenName E. J.
67 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015243005257.09
68 rdf:type schema:Person
69 https://doi.org/10.1061/9780872620131.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1097232596
70 rdf:type schema:CreativeWork
71 https://doi.org/10.1061/9780872620285.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1097150109
72 rdf:type schema:CreativeWork
73 https://doi.org/10.5962/bhl.title.47403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099542771
74 rdf:type schema:CreativeWork
75 https://www.grid.ac/institutes/grid.412056.4 schema:alternateName Karunya University
76 schema:name Karunya University, Coimbatore, Tamil Nadu, India
77 rdf:type schema:Organization
78 https://www.grid.ac/institutes/grid.464826.a schema:alternateName Centre for Water Resources Development and Management
79 schema:name Centre for Water Resources Development and Management, Kozhikode, Kerala, India
80 rdf:type schema:Organization
 




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


...