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Insights for Estimating and Predicting Reservoir Sedimentation Using the RUSLE-SDR Approach: A Case...

Insights for Estimating and Predicting Reservoir Sedimentation Using the RUSLE-SDR Approach: A Case...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b96eab09c0224298aff64338269c5c85

Insights for Estimating and Predicting Reservoir Sedimentation Using the RUSLE-SDR Approach: A Case of Darbandikhan Lake Basin, Iraq–Iran

About this item

Full title

Insights for Estimating and Predicting Reservoir Sedimentation Using the RUSLE-SDR Approach: A Case of Darbandikhan Lake Basin, Iraq–Iran

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (3), p.697

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Soil loss (SL) and its related sedimentation in mountainous areas affect the lifetime and functionality of dams. Darbandikhan Lake is one example of a dam lake in the Zagros region that was filled in late 1961. Since then, the lake has received a considerable amount of sediments from the upstream area of the basin. Interestingly, a series of dams h...

Alternative Titles

Full title

Insights for Estimating and Predicting Reservoir Sedimentation Using the RUSLE-SDR Approach: A Case of Darbandikhan Lake Basin, Iraq–Iran

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b96eab09c0224298aff64338269c5c85

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b96eab09c0224298aff64338269c5c85

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs15030697

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