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Conditioning groundwater flow simulation using generalized likelihood uncertainty estimation GLUE / Mennatullah Tarek Attia Elrashidy ; Supervised Ahmed Emam Ahmed Hassan , Mohamed Attia Mohamed Abdelmegeed

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mennatullah Tarek Attia Elrashidy , 2017Description: 77 P. : facsimiles , maps , photographs ; 30cmOther title:
  • تحجيم نتائج محاكاة سريان المياه الجوفية بأستخدام الطريقة الاحتمالية العامة لتقدير عدم اليقين جلو [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering Summary: Generalized likelihood uncertainty estimation (GLUE) is a statistical approach which is used for decreasing the uncertainty bounds for the outputs resulted from any model. In this study, GLUE technique is used on the output of a groundwater model which simulates an aquifer in KSA which called Wadi Noaman. The study divided into three stages (calibration, verification and prediction). The model is in a stochastic module and simulates the aquifer using 100 realizations of different values for the input parameters R (Recharge) and H (Hydraulic conductivity). The results illustrate the effect of using different likelihood measures and different shape factor values. Also, the model is used to address the expected head values till the year 2037
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.M.Sc.2017.Me.C (Browse shelf(Opens below)) Not for loan 01010110073633000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.M.Sc.2017.Me.C (Browse shelf(Opens below)) 73633.CD Not for loan 01020110073633000

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

Generalized likelihood uncertainty estimation (GLUE) is a statistical approach which is used for decreasing the uncertainty bounds for the outputs resulted from any model. In this study, GLUE technique is used on the output of a groundwater model which simulates an aquifer in KSA which called Wadi Noaman. The study divided into three stages (calibration, verification and prediction). The model is in a stochastic module and simulates the aquifer using 100 realizations of different values for the input parameters R (Recharge) and H (Hydraulic conductivity). The results illustrate the effect of using different likelihood measures and different shape factor values. Also, the model is used to address the expected head values till the year 2037

Issued also as CD

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