Ontology type: schema:ScholarlyArticle
1988-09
AUTHORS ABSTRACTConventional flood frequency analysis is concerned with providing an unbiased estimate of the magnitude of the design flow exceeded with the probabilityp, but sampling uncertainties imply that such estimates will, on average, be exceeded more frequently. An alternative approach is therefore, to derive an estimator which gives an unbiased estimate of flow risk: the difference between the two magnitudes reflects uncertainties in parameter estimation. An empirical procedure has been developed to estimate the mean true exceedance probabilities of conventional estimates made using a GEV distribution fitted by probability weighted moments, and adjustment factors have been determined to enable the estimation of flood magnitudes exceeded with, on average, the desired probability. More... »
PAGES201-212
http://scigraph.springernature.com/pub.10.1007/bf01550842
DOIhttp://dx.doi.org/10.1007/bf01550842
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1034324010
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/2008/0104",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Statistics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Mathematical Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Natural Environment Research Council",
"id": "https://www.grid.ac/institutes/grid.8682.4",
"name": [
"Institute of Hydrology, 0X10 8BB, Wallingford, Oxon, UK"
],
"type": "Organization"
},
"familyName": "Arnell",
"givenName": "N. W.",
"id": "sg:person.0743535320.29",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743535320.29"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1029/jz065i007p02143",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003069366"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/tr038i004p00519",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007470526"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/wr011i004p00533",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008625729"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/wr011i006p00839",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008751487"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/wr019i002p00511",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015085828"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/qj.49708134804",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020340246"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-94-009-3955-4_23",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028577681",
"https://doi.org/10.1007/978-94-009-3955-4_23"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-94-009-3955-4_4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049199160",
"https://doi.org/10.1007/978-94-009-3955-4_4"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00401706.1985.10488049",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058285781"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01621459.1953.10483493",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058299098"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/biomet/67.3.723",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059419028"
],
"type": "CreativeWork"
}
],
"datePublished": "1988-09",
"datePublishedReg": "1988-09-01",
"description": "Conventional flood frequency analysis is concerned with providing an unbiased estimate of the magnitude of the design flow exceeded with the probabilityp, but sampling uncertainties imply that such estimates will, on average, be exceeded more frequently. An alternative approach is therefore, to derive an estimator which gives an unbiased estimate of flow risk: the difference between the two magnitudes reflects uncertainties in parameter estimation. An empirical procedure has been developed to estimate the mean true exceedance probabilities of conventional estimates made using a GEV distribution fitted by probability weighted moments, and adjustment factors have been determined to enable the estimation of flood magnitudes exceeded with, on average, the desired probability.",
"genre": "research_article",
"id": "sg:pub.10.1007/bf01550842",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1225521",
"issn": [
"0931-1955",
"1435-151X"
],
"name": "Stochastic Hydrology and Hydraulics",
"type": "Periodical"
},
{
"issueNumber": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "2"
}
],
"name": "Unbiased estimation of flood risk with the GEV distribution",
"pagination": "201-212",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"a3815cb0dbe0bd34400e2b68b77d0ecf7c16983667720ca749ba3dc195fb34de"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/bf01550842"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1034324010"
]
}
],
"sameAs": [
"https://doi.org/10.1007/bf01550842",
"https://app.dimensions.ai/details/publication/pub.1034324010"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:29",
"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/v90/0000000370_0000000370/records_46747_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/BF01550842"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/bf01550842'
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/bf01550842'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf01550842'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf01550842'
This table displays all metadata directly associated to this object as RDF triples.
96 TRIPLES
21 PREDICATES
38 URIs
19 LITERALS
7 BLANK NODES