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Multivariate analysis for medium and long range forecasting of the nile river flow / Hossam Mohamed Ahmed Mohamed ; Supervised Alaa Eldin M. Elzawahry , Khaled H. Hamed , Ayman G. Awadallah

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Hossam Mohamed Ahmed Mohamed , 2016Description: 123 P. ; 30cmOther title:
  • التحليل متعدد المتغيرات للتنبؤ المتوسط و طويل المدى لفيضان نهر النيل [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering Summary: The nile river provides Egypt with most of its water resources. Therefore, long and medium term forecasts of Nile {uFB02}ows at Aswan have been recognized as of significant importance to allow better management and operation of the water resource facilities. In this study, a wide range of climate indices and atmospheric fields were used as potential predictors for long range forecasting of Nile streamflow for one flood season ahead. Furthermore, the approach followed in this study will focus on searching for potential predictors, reducing the pool of potential predictors by using statistical analysis, applying principal component analysis (PCA), canonical correlation analysis (CCA), and multiple linear regression analysis for forecasting the Nile flow. Moreover, copula functions are used to construct a joint distribution of bivariate random variables and to describe the multivariate correlation structure between the Nile flow and different predictors, which can be very useful for improving long range Nile river flow forecasting
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.M.Sc.2016.Ho.M (Browse shelf(Opens below)) Not for loan 01010110070212000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.M.Sc.2016.Ho.M (Browse shelf(Opens below)) 70212.CD Not for loan 01020110070212000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering

The nile river provides Egypt with most of its water resources. Therefore, long and medium term forecasts of Nile {uFB02}ows at Aswan have been recognized as of significant importance to allow better management and operation of the water resource facilities. In this study, a wide range of climate indices and atmospheric fields were used as potential predictors for long range forecasting of Nile streamflow for one flood season ahead. Furthermore, the approach followed in this study will focus on searching for potential predictors, reducing the pool of potential predictors by using statistical analysis, applying principal component analysis (PCA), canonical correlation analysis (CCA), and multiple linear regression analysis for forecasting the Nile flow. Moreover, copula functions are used to construct a joint distribution of bivariate random variables and to describe the multivariate correlation structure between the Nile flow and different predictors, which can be very useful for improving long range Nile river flow forecasting

Issued also as CD

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