2006
DOI: 10.7202/013542ar
|View full text |Cite
|
Sign up to set email alerts
|

Quantification du transport solide par la technique floue, application au barrage de Beni Amrane (Algérie)

Abstract: L’Algérie, caractérisée par un climat semi-aride, est menacée par l’érosion des terres agricoles qui provoque l’augmentation du transport solide et l’envasement croissant des barrages. Cet article décrit une nouvelle méthode d’estimation des flux de matières en suspension (MES) au niveau d’un barrage algérien (barrage de Beni Amrane) basée sur la logique floue. Cette dernière utilise des termes flous tels que « faible », « moyen » et « élevé », pour décomposer le processus débit-MES en plusieurs sous-ensembles… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
4
0
3

Year Published

2010
2010
2016
2016

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(7 citation statements)
references
References 13 publications
0
4
0
3
Order By: Relevance
“…Two indices were used to test the performance of the models and the agreement between measured and simulated results and to compare the efficiency of the three models tested: The χ 2 of conformity [ Uehlinger et al , 1996] given by and the Nash‐Sutcliffe coefficient of efficiency E [ Lekfir et al , 2006; Kliment et al , 2008] by where B meas, i is the measured biomass, B ( t i ) the predicted biomass at time i , ES meas, i is the standard error in B meas, i , is the average of all measured values, and N is the number of measurements. Generally the model is deemed perfect when E is greater than 0.75, satisfactory when E is between 0.36 and 0.75, and unsatisfactory when E is smaller than 0.36 [ Krause et al , 2005].…”
Section: Methodsmentioning
confidence: 99%
“…Two indices were used to test the performance of the models and the agreement between measured and simulated results and to compare the efficiency of the three models tested: The χ 2 of conformity [ Uehlinger et al , 1996] given by and the Nash‐Sutcliffe coefficient of efficiency E [ Lekfir et al , 2006; Kliment et al , 2008] by where B meas, i is the measured biomass, B ( t i ) the predicted biomass at time i , ES meas, i is the standard error in B meas, i , is the average of all measured values, and N is the number of measurements. Generally the model is deemed perfect when E is greater than 0.75, satisfactory when E is between 0.36 and 0.75, and unsatisfactory when E is smaller than 0.36 [ Krause et al , 2005].…”
Section: Methodsmentioning
confidence: 99%
“…Demmak, ; Meddi, ; Probst and Amiotte, ; Terfous et al ., ; Benkhaled and Remini, ; Achite and Ouillon, ). Recently, the relationship between water discharge and suspended sediment discharge has also been investigated for the Beni Amrane reservoir located East of Algiers, using the fuzzy logic approach (Lekfir et al ., ).…”
Section: Introductionmentioning
confidence: 97%
“…Two indices were used to test the performance of the model and the agreement between measured and simulated results. These were the χ 2 of conformity (Eqn ; Uehlinger et al ., ) and the Nash–Sutcliffe efficiency coefficient E (Eqn ; Lekfir, Benkaci Ali & Dechemi, ; Kliment, Kadlec & Langhammer, ):italicχ2=false∑i=1N)(Bfalse(tifalse)Bmeas,iESnormalmeas,i2E=1false∑i=1N)(Bnormalmeas,normaliB(ti)2false∑i=1N)(Bnormalmeas,normaliBnormalmeas¯2 where B meas, i is the measured biomass and B(t i ) is the predicted biomass at time i . ES meas ,i is the standard error in B meas ,i , Bmeas¯ is the average of all measured values and N is the number of measurements.…”
Section: Methodsmentioning
confidence: 99%
“…Two indices were used to test the performance of the model and the agreement between measured and simulated results. These were the v 2 of conformity (Eqn 7; Uehlinger et al, 1996) and the Nash-Sutcliffe efficiency coefficient E (Eqn 8; Lekfir, Benkaci Ali & Dechemi, 2006;Kliment, Kadlec & Langhammer, 2007):…”
Section: Validation Of the Modelmentioning
confidence: 99%