مؤسسة الشرق الأوسط للنشر العلمي

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الإصدار التالي: 06 سبتمبر 2024
من مجلة الشرق الأوسط للنشر العلمي

Estimation of Seepage for Ajdabya Reservoir by Moderation Multiple Regression

Salem Alsanusi, Mervat A, & Manal Abmdas
Abstract

Seepage is the main cause of failure of earthen dams; to prevent this failure, excessive seepage problems should be controlled. In this study, lowest seepage quantity through homogenous earth dam with horizontal filter by different methods was estimated. SEEP/W program code was used to investigate 64 models with compute seepage discharge through the dam for the different water depths 8,7,6,5 meters. With different hydraulic conductivity coefficient ranging between 0.000001 to 0.0001. Using different values for each of the above effecting variables on the quantity of seepage. Results showed that The exceptions of the future seepage through the body of the dam has been studied of by using Statistical methods such as Moderating Multiple Regression (MMR).The quantity of seepage predicted by MRR compared with obtained seepage rates from SEEP/W has (R2 = 0.985, 0.688, 0.689, 0.712) at depths of 5,6,7,8 m, respectively, than the nonlinear empirical equations found in SPSS.

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