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Paper Information

Journal:   JOURNAL OF GEOTECHNICAL GOLOGY (APPLIED GEOLOGY)   FALL 2009 , Volume 5 , Number 3; Page(s) 213 To 219.
 
Paper: 

EVALUATION OF SEDIMENTATION RATIO OF JAJRUD RIVER AT THE UPPER LATIAN DAM USING MULTIVARIABLE REGRESSION METHOD

 
 
Author(s):  BORBORI F., FAIYAZ F., NAKHAIEE M., MATKAN A.A.
 
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Abstract: 

To evaluate the sedimentation ratio of the proposed area of study area to be studied, i.e. the basin of the Jajrud River at the upper level of the Latian dam, the present study has prefered multivariable regerssion regression method has been preferred. Therefore, by this reason, in order to identify the most important physiographic agent which is effective in flooding, flood-debi equation and then debi-sediment for each sub-basin were obtained by applying these factors to the regression model. Reveiwing Reviewing the equations and putting them with the proposed parameters, the maximum flood-debi were was calculated for sub-basins. Consequenlty Consequently, these equations also helped in presenting a suitable way for anticipated flood-debi or the transported sediment loads. Likewise, for sub-basins (Amameh, Kund and Afjeh) whose data were accessible simultaneously with debi-sediment equations for a longer period of time, the transoported transported sediment loads are acquired only when the rive-debi reaches to its peak. The acquired results indicate that that the Ahar sub-basin has the lowest strength of sedimentation and the best option for water closet because of its lengthiest concentration time, high elongation, mild steep steepness and the lowest condensation level.
Similarly, the highest strength of sedimentation is related to the Amameh sub-basin, where the sediment production is about 7853.3 tones tons every day. Wider steep of the Steeper and lengthier basins, bigger length, the lowest shorter concentration time and higher condensation could be presented as the other effective factors in this process.

 
Keyword(s): SEDIMENTATION, JAJRUD RIVER, LATIAN DAM, MULTIVARIABLE REGRESSION METHOD
 
References: 
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