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المربعات الصغرى المشذبة الموزونة لتقدير تأثير مياه الصرف الصحي في تلوث مياه نهر دجلة/ محافظة واسط

في كثير من الأحيان يفشل تحليل المربعات الصغرى (LS) تماماً في حالة وجود قيم شاذة في الظواهر المدروسة، اذ ستفقد OLS خصائصها ومن ثم تفقد صفة المقدر الخطي الجيد Beast Linear Unbiased Estimator (BLUE) لِما تسببه الشواذ Outliers من تأثير سيئ علـى نتـائج التحليـل الاحـصائي للبيانـات اذ أن وجودها يؤدي الى إرباك كبير في تحليل البيانات في حالة إستخدام الطرائق التقليدية، ولعلاج هذه المشكلة تم تطوير أساليب إحصائية جديدة بحيث لا تتأثر بالقيم الشاذة بسهولة. هذه الطرائق تمتاز بالحصانة أو (المقاومة). ولذا كانت طريقة المربعات الصغرى المشذبة Least Trimmed Squares (LTS) كبديل جيد يحقق نتائج أكثر مقبولية وأمثليه. الاّ انه يمكن افتراض أوزان تأخذ بنظر العناية مواقع تواجد القيم الشاذة في البيانات وتحددها بشكل دقيق. ولزيادة قوة التقدير بطريقة المربعات الصغرى المشذبة الموزونة Weighted Least Trimmed Squares (WLTS) هو بأعاده الوزن لبيانات العينة حول المقدر المطلوب بصورة تكرارية وهو ما سيدعى طريقة المربعات الصغرى المشذبة المعاد وزنها Reweighted Least Trimmed Squares (RWLTS). ولتحقيق هذا البحث استدعت الحاجة الكشف والتقصّي عن تأثير التلوث مياه نهر دجلة في محافظة واسط بسبب مياه الصرف الصحي وبالذات التلوث بالمواد الصلبة غير الذائبة في الماءTotal Dissolved Solids  (TDS) وتأثير ثلاث ملوثات أملاح الكبريتات Sulphates (SO4)، الكلورايدات Chlorides (Cl) والفوسفات Phosphates ((PO4 على ذلك. وتم تقديم ذلك بدراسة احصائية وتقييمها بشكل دقيق ورفعها الى الجهات المختصّة ولتحقيق هذا الهدف تم استعمال بحجم عينة (91) موقع تم سحبها وفحصها في مختبرات بلدية محافظة واسط. وتم إجراء التحليل باستعمال برنامج MATLAB-R2015b)).  

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Publication Date
Tue Nov 13 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
The Approximation Solution of a Nonlinear Parabolic Boundary Value Problem Via Galerkin Finite Elements Method with Crank-Nicolson

    This paper deals with finding the approximation solution of a nonlinear parabolic boundary value problem (NLPBVP) by using the Galekin finite element method (GFEM) in space and Crank Nicolson (CN) scheme in time, the problem then reduce to solve a Galerkin nonlinear algebraic system(GNLAS). The predictor and the corrector technique (PCT) is applied here to solve the GNLAS, by transforms it to a Galerkin linear algebraic system (GLAS). This GLAS is solved once using the Cholesky method (CHM) as it appear in the matlab package and once again using the Cholesky reduction order technique (CHROT) which we employ it here to save a massive time. The results, for CHROT are given by tables and figures and show

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Mon Nov 01 2021
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Sun Mar 01 2020
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Ama, Agricultural Mechanization In Asia, Africa And Latin America
Could conservation tillage farming be the solution for agricultural soils in Iraq?

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Publication Date
Tue Jan 01 2019
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Publication Date
Sun Nov 14 2021
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2021 North American Power Symposium (naps)
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Publication Date
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