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Prediction of the Amount of Sediment Deposition in Tarbela Reservoir Using Machine Learning Approach...

Prediction of the Amount of Sediment Deposition in Tarbela Reservoir Using Machine Learning Approach...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2724299956

Prediction of the Amount of Sediment Deposition in Tarbela Reservoir Using Machine Learning Approaches

About this item

Full title

Prediction of the Amount of Sediment Deposition in Tarbela Reservoir Using Machine Learning Approaches

Publisher

Basel: MDPI AG

Journal title

Water (Basel), 2022-10, Vol.14 (19), p.3098

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Tarbela is the largest earth-filled dam in Pakistan, used for both irrigation and power production. Tarbela has already lost around 41.2% of its water storage capacity through 2019, and WAPDA predicts that it will continue to lose storage capacity. If this issue is ignored for an extended period of time, which is not far away, a huge disaster will...

Alternative Titles

Full title

Prediction of the Amount of Sediment Deposition in Tarbela Reservoir Using Machine Learning Approaches

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2724299956

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2724299956

Other Identifiers

ISSN

2073-4441

E-ISSN

2073-4441

DOI

10.3390/w14193098

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