The 4th EWaS International Conference: Valuing the Water, Carbon, Ecological Footprints of Human Activities 2020
DOI: 10.3390/environsciproc2020002019
|View full text |Cite
|
Sign up to set email alerts
|

Comparison between Calculation and Measurement of Total Sediment Load: Application to Nestos River

Abstract: Measurements of stream discharge, bed load transport rate and suspended sediment concentration in the Nestos River (northeastern Greece) were conducted by the Section of Hydraulic Engineering, of the Civil Engineering Department, Democritus University of Thrace. In addition to those measurements, the total sediment concentration was calculated by means of the formulas of Yang. The comparison between the calculated and measured total sediment concentration was achieved by means of several statistical criteria a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
1
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 7 publications
1
1
0
Order By: Relevance
“…Both of Yang's equations were calibrated especially for Nestos River (northeastern Greece) on the basis of available measurements for bed load and suspended load. Regarding the comparison between predicted and measured values of total load transport rate, the values of the statistical criteria used for both equations were very satisfactory, as reported by Avgeris et al [22].…”
Section: Introductionsupporting
confidence: 67%
See 1 more Smart Citation
“…Both of Yang's equations were calibrated especially for Nestos River (northeastern Greece) on the basis of available measurements for bed load and suspended load. Regarding the comparison between predicted and measured values of total load transport rate, the values of the statistical criteria used for both equations were very satisfactory, as reported by Avgeris et al [22].…”
Section: Introductionsupporting
confidence: 67%
“…. , r iN } (24) be the set of the distances of p i from all other parameter vectors, as computed according to Equation (22). Let r i,i1 , r i,i2 , .…”
Section: Nearest Neighbor Smoothingmentioning
confidence: 99%