English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Information on sediment concentration in rivers is important for design ofreservoirs and for environmental applications. Because of the scarcity ofcontinuous sediment data, methods have been developed to predict sedimentloads based on few <i>discontinuous</i> measurements. Traditionally, loadsare being predicted using rating curves that relate sediment load todischarge. The relationship assumes inherently a unique relationship betweenconcentration and discharge and therefore although performing satisfactorilyin predicting loads, it may be less suitable for predicting concentration.This is especially true in the Blue Nile Basin of Ethiopia whereconcentrations decrease for a given discharge with the progression of therainy monsoon phase. The objective of this paper is to improve the sedimentconcentration predictions throughout the monsoon period for the Ethiopianhighlands with a modified rating type equation. To capture the observedsediment concentration pattern, we assume that the sediment concentration wasat the transport limit early in the rainy season and then decreases linearlywith effective rainfall towards source-limited concentration. The modifiedconcentration rating curve was calibrated for the four main rivers in theLake Tana basin where sediment concentrations affect fish production andtourism. Then the scalability of the rating type equation was checked inthree 100 ha watersheds for which historic data were available. Theresults show that for predicting sediment concentrations, the (modified)concentration rating curve was more accurate than the (standard) load ratingcurve as expected. In addition loads were predicted more accurately for threeof the four rivers. We expect that after more extensive testing over a widergeographical area, the proposed concentration rating curve will offerimproved predictions of sediment concentrations in monsoonal climates

Sediment concentration rating curves for a monsoonal climate: upper Blue Nile