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The Lithology Spatial Distribution of South Jableh Plain Using Spatial Statistical Methods

التوزيع المكاني للعمود الليتولوجي في جنوب سهل جبلة باستخدام الإحصاء المكاني

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 Publication date 2018
and research's language is العربية
 Created by Shamra Editor




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The idea of spatial interpolation stands of great importance depending on the accuracy of estimated (Hydrogeological) parameters of this area, which reduces excessive efforts to reach the best Hydrogeological model of the region with as little as possible, thus reducing the overall cost of the project. The studied area is located within the Sin plain (the southern part of the JABLEH plain). A free layer of water, ranging between 1m and 30m in thickness. The study relied on groundwater level data, soil thickness and type in 339 wells. The importance of this research Lies in mapping the best spatial distribution of characteristics using spatial statistical methods The aim of the research is to estimate the Coefficient of Permeability of the aquifer layer and its effective thickness using the two methods of spatial statistics methods (Kriging and IDW) for Hydrogeological parameters in the southern part of the Jableh plain.


Artificial intelligence review:
Research summary
تتناول هذه الدراسة التوزيع المكاني للعمود الليتولوجي في جنوب سهل جبلة باستخدام طرائق الإحصاء المكاني. تهدف الدراسة إلى تقدير عامل الرشح للطبقة الحاملة للمياه الجوفية وسماكتها الفعالة باستخدام طريقتي Kriging وIDW. تعتمد الدراسة على بيانات من 339 بئراً في المنطقة المدروسة، حيث تتراوح سماكة طبقة المياه الحرة بين 1 و30 مترًا. تُظهر النتائج أن طريقة Kriging (التابع الأسي) أعطت أفضل تمثيل لسماكات طبقات التربة الزراعية والغضار الكربوناتي والغضار الرملي، بينما كانت طريقة IDW الأكثر دقة في تمثيل طبقة الحجر الرملي. توصي الدراسة باستخدام طريقة Kriging التابع الأسي لاستقراء ورسم خرائط التوزع المكاني للترب المفككة واستمرار مراقبة نظام المياه الجوفية ودراسة حركتها.
Critical review
دراسة نقدية: تُعد هذه الدراسة خطوة مهمة في مجال استخدام تقنيات الإحصاء المكاني لتقدير الخصائص الهيدروجيولوجية، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، الدراسة تعتمد على بيانات من 339 بئراً فقط، مما قد لا يكون كافياً لتعميم النتائج على كامل المنطقة. ثانياً، لم يتم التطرق إلى تأثير العوامل المناخية والجيولوجية الأخرى التي قد تؤثر على دقة النتائج. ثالثاً، كان من الممكن تقديم تحليل أكثر تفصيلاً للمقارنة بين الطريقتين المستخدمتين (Kriging وIDW) لتوضيح مزايا وعيوب كل منهما بشكل أكثر وضوحاً. وأخيراً، يُفضل إجراء دراسات ميدانية إضافية لتأكيد النتائج المستخلصة من النماذج الرياضية.
Questions related to the research
  1. ما هي الأهمية التطبيقية للبارامترات الهيدروجيولوجية في هذه الدراسة؟

    تتمتع البارامترات الهيدروجيولوجية بأهمية تطبيقية كبيرة في الحسابات التصميمية لمشاريع تأمين المياه وحساب الموازنة المائية للمياه الجوفية وإدارة مواردها المستدامة.

  2. ما هي الطرائق المستخدمة في هذه الدراسة لتقدير عامل الرشح وسماكة الطبقة الحاملة للمياه الجوفية؟

    تم استخدام طريقتي الإحصاء المكاني Kriging وIDW لتقدير عامل الرشح وسماكة الطبقة الحاملة للمياه الجوفية.

  3. ما هي النتائج الرئيسية التي توصلت إليها الدراسة؟

    أظهرت النتائج أن طريقة Kriging (التابع الأسي) أعطت أفضل تمثيل لسماكات طبقات التربة الزراعية والغضار الكربوناتي والغضار الرملي، بينما كانت طريقة IDW الأكثر دقة في تمثيل طبقة الحجر الرملي.

  4. ما هي التوصيات التي قدمتها الدراسة؟

    توصي الدراسة باستخدام طريقة Kriging التابع الأسي لاستقراء ورسم خرائط التوزع المكاني للترب المفككة واستمرار مراقبة نظام المياه الجوفية ودراسة حركتها.


References used
MARINONI, O. Improving geological models using a combined ordinaryindicator Kriging approach. GERMANY, 2002
MEUL, M; VAN, M. Kriging soil texture under different types. BELGIUM, 2002, 16
VIJAY, KUMMAR. Kriging of Groundwater Levels – A Case Study. India, Journal of Spatial Hydrology Vol.6, No.1 Spring 2006, 16
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