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Rainfall Prediction in Tartous Station Located in the Southern Part of the Syrian Coast

التنبؤ بالهطل المطري في محطة طرطوس الواقعة في القسم الجنوبي من الساحل السوري

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 Publication date 2015
and research's language is العربية
 Created by Shamra Editor




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Rainfall is considered as one of the most difficult and complex elements of the hydrological cycle, to understand and model, due to the complexity of air operations that generate rain. The importance of research comes from the direct relationship between the rainfall amount and economic & social activities of the population, planning scopes of the water resources management, particularly with respect to the agricultural development. The research aims to highlight the rainfall amounts in Tartous station which is located in the southern part of the Syrian coast, and applying one model of Box-Jenkins models for the purpose of predicting future rainfall amounts. Multiple Arima models have been tested. The results showed that the model SARIMA (3,0,4) was the best one. Data were divided into 43 years to build the model and eight years to test it. The test results gave high accuracy in the performance, and the model was used to predict the values of annual rainfall for the next twenty years.


Artificial intelligence review:
Research summary
تتناول هذه الدراسة التنبؤ بكميات الهطل المطري في محطة طرطوس الواقعة في الجزء الجنوبي من الساحل السوري باستخدام نماذج بوكس-جنكنز (Box-Jenkins) وبالتحديد نموذج ARIMA. يعتبر الهطل المطري من العناصر المعقدة في الدورة الهيدرولوجية بسبب العمليات الجوية المعقدة التي تولد الأمطار. تأتي أهمية هذا البحث من العلاقة المباشرة بين كميات الأمطار الهاطلة والأنشطة الاقتصادية والاجتماعية للسكان، بالإضافة إلى أهمية التخطيط لإدارة الموارد المائية، خاصة في مجال التنمية الزراعية. تم اختبار نماذج متعددة من ARIMA، وبعد إجراء جميع الاختبارات المطلوبة، تبين أن النموذج الأفضل هو SARIMA (3,0,4). تم تقسيم البيانات إلى 43 سنة لبناء النموذج و8 سنوات لاختباره، وأظهرت نتائج الاختبار دقة عالية في الأداء. استخدم النموذج للتنبؤ بقيم الأمطار السنوية لعشرين سنة قادمة. توصلت الدراسة إلى أن النموذج المقترح يمكن استخدامه لاستكمال البيانات المفقودة في محطة طرطوس، ويوصى باستخدام الشبكات العصبية الاصطناعية لإنشاء نماذج للتنبؤ بكميات الهطل المطري في مناطق مختلفة في سوريا.
Critical review
دراسة نقدية: على الرغم من أن الدراسة قدمت نموذجًا دقيقًا للتنبؤ بكميات الهطل المطري في محطة طرطوس، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، كان من الأفضل تضمين تحليل أعمق للعوامل الجوية الأخرى التي قد تؤثر على دقة التنبؤات، مثل الرياح ودرجات الحرارة. ثانيًا، قد يكون من المفيد مقارنة نتائج النموذج مع نماذج أخرى للتنبؤ بالهطل المطري لتحديد مدى دقة النموذج المستخدم. وأخيرًا، يمكن تعزيز الدراسة بإجراء تجارب ميدانية إضافية للتحقق من دقة التنبؤات على أرض الواقع.
Questions related to the research
  1. ما هو الهدف الرئيسي من البحث؟

    الهدف الرئيسي من البحث هو التنبؤ بكميات الهطل المطري في محطة طرطوس باستخدام نماذج بوكس-جنكنز، وتحديد النموذج الأنسب للتنبؤ بالقيم المستقبلية للهطل المطري.

  2. ما هي أهمية التنبؤ بكميات الهطل المطري؟

    تأتي أهمية التنبؤ بكميات الهطل المطري من العلاقة المباشرة بين كميات الأمطار الهاطلة والأنشطة الاقتصادية والاجتماعية للسكان، بالإضافة إلى أهمية التخطيط لإدارة الموارد المائية، خاصة في مجال التنمية الزراعية.

  3. ما هو النموذج الذي تم اختياره للتنبؤ بكميات الهطل المطري؟

    تم اختيار نموذج SARIMA (3,0,4) للتنبؤ بكميات الهطل المطري في محطة طرطوس بعد إجراء جميع الاختبارات المطلوبة.

  4. كيف تم تقسيم البيانات لاختبار النموذج؟

    تم تقسيم البيانات إلى 43 سنة لبناء النموذج و8 سنوات لاختباره، وأظهرت نتائج الاختبار دقة عالية في الأداء.


References used
FRENCH, M. N., KRAJEWSKI, W. F., AND CUYKENDALL, R. R., 1992, "Rainfall forecasting in space and time using neural network", J. Hydrol., 137, 1–31
GWANGSEOB, K. AND ANA, P. B., 2001, "Quantitative flood forecasting using multi sensor data and neural networks", Journal of Hydrology, 246, 45–62
BOX, G.E.P., G.M., JENKINS, 1976, "Series Analysis Forecasting and Control", Prentice-Hall Inc., London
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