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Fuzzy clustering and distributed model for streamflow estimation in ungauged watersheds

Fuzzy clustering and distributed model for streamflow estimation in ungauged watersheds

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9e1a8336badf426394d966be223e76a8

Fuzzy clustering and distributed model for streamflow estimation in ungauged watersheds

About this item

Full title

Fuzzy clustering and distributed model for streamflow estimation in ungauged watersheds

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2021-04, Vol.11 (1), p.8243-14, Article 8243

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

This paper proposes a regionalization method for streamflow prediction in ungauged watersheds in the 7461 km
2
area above the Gharehsoo Hydrometry Station in the Ardabil Province, in the north of Iran. First, the Fuzzy c-means clustering method (FCM) was used to divide 46 gauged (19) and ungauged (27) watersheds into homogenous groups based o...

Alternative Titles

Full title

Fuzzy clustering and distributed model for streamflow estimation in ungauged watersheds

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9e1a8336badf426394d966be223e76a8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9e1a8336badf426394d966be223e76a8

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-021-87691-0

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