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A Model Design To Determine The Appropriate Points To Build Fire Towers

إنتاج موديل لإيجاد النقاط المثلى لتوضع أبراج مراقبة حرائق الغابات باستخدام نظم المعلومات الجغرافية

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 Publication date 2012
and research's language is العربية
 Created by Shamra Editor




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This paper presents the methods of designing a model to determine the appropriate points to build fire towers extended on an area of Syrian Arab Republic, in order to monitor and early warning the forest fire. This helps the authorities' process of extinguishing the fire as it arises and thereby protect our forest from fire that destroys thousands of hectares every year. The model has been designed using the tools of Spatial Analysis available in ArcGIS program. These tools have been applied to evaluate the performance of the fire towers in the studied area, and to suggest new sites for fire towers in this region in order to increase the vision of the area. We calculate the area of visible areas covered by the suggested fire towers. We finally customize the parameters of the model to be applied for different areas using different input data, so the users of the model simply can enter the parameters of their own area and apply the model.


Artificial intelligence review:
Research summary
يقدم هذا البحث نموذجًا لتحديد المواقع المثلى لبناء أبراج مراقبة حرائق الغابات في الجمهورية العربية السورية باستخدام نظم المعلومات الجغرافية (GIS). يهدف النموذج إلى تحسين عملية الكشف المبكر والإنذار عن حرائق الغابات، مما يساعد في سرعة إخمادها وحماية الغابات من الدمار. تم تصميم النموذج باستخدام أدوات التحليل المكاني المتاحة في برنامج ArcGIS لتقييم أداء الأبراج الحالية واقتراح مواقع جديدة لزيادة الرؤية. يشمل النموذج عدة مراحل، بدءًا من تحديد منطقة الدراسة، جمع البيانات اللازمة، بناء النموذج، وتحديد المواقع الجديدة للأبراج. تم تطبيق النموذج على منطقة في شمال محافظة اللاذقية، حيث تم تحليل الرؤية وتحديد المساحات المرئية وغير المرئية من الأبراج الحالية والمقترحة. أظهرت النتائج زيادة كبيرة في المساحات المرئية بعد استبدال مواقع بعض الأبراج، مما يدل على فعالية النموذج في تحسين الكشف المبكر عن الحرائق. يمكن تطبيق النموذج على مناطق أخرى باستخدام بيانات إدخال مختلفة، مما يجعله أداة مفيدة لمستخدمي نظم المعلومات الجغرافية في مجال إدارة حرائق الغابات.
Critical review
دراسة نقدية: يعد هذا البحث خطوة مهمة نحو تحسين إدارة حرائق الغابات باستخدام التقنيات الحديثة مثل نظم المعلومات الجغرافية. ومع ذلك، يمكن تقديم بعض الملاحظات النقدية لتحسين العمل المستقبلي. أولاً، قد يكون من المفيد تضمين تحليل اقتصادي لتكلفة بناء الأبراج الجديدة مقارنةً بالفوائد المتوقعة من زيادة الرؤية. ثانيًا، يمكن توسيع نطاق الدراسة ليشمل مناطق أخرى في سوريا أو حتى في دول أخرى ذات ظروف بيئية مشابهة للتحقق من فعالية النموذج في سياقات مختلفة. ثالثًا، يمكن تحسين النموذج بإضافة عوامل أخرى مثل تأثير الرياح والرطوبة على انتشار الحرائق. أخيرًا، قد يكون من المفيد إجراء دراسات ميدانية للتحقق من دقة النموذج ومقارنة النتائج مع البيانات الفعلية من الحرائق السابقة.
Questions related to the research
  1. ما هو الهدف الرئيسي من البحث؟

    الهدف الرئيسي من البحث هو تصميم نموذج لتحديد المواقع المثلى لبناء أبراج مراقبة حرائق الغابات باستخدام نظم المعلومات الجغرافية لتحسين الكشف المبكر والإنذار عن الحرائق.

  2. ما هي الأدوات المستخدمة في تصميم النموذج؟

    تم استخدام أدوات التحليل المكاني المتاحة في برنامج ArcGIS لتصميم النموذج وتحليل الرؤية وتحديد المواقع المثلى للأبراج.

  3. ما هي النتائج الرئيسية التي توصل إليها البحث؟

    أظهرت النتائج زيادة كبيرة في المساحات المرئية بعد استبدال مواقع بعض الأبراج، مما يدل على فعالية النموذج في تحسين الكشف المبكر عن الحرائق.

  4. هل يمكن تطبيق النموذج على مناطق أخرى؟

    نعم، يمكن تطبيق النموذج على مناطق أخرى باستخدام بيانات إدخال مختلفة، مما يجعله أداة مفيدة لمستخدمي نظم المعلومات الجغرافية في مجال إدارة حرائق الغابات.


References used
Joksic, D. Bajat, B. Probability Maps as Measure of Reliability for Intervisibility analysis. Spatium Journal,2005, 22-27
Garcia, M. Viewshed Analysis for Improving the Effectiveness of Watchtowersin the North of Mexico.2010,126-251
Mark, A and Denis, J. An Accuracy Assessment of Various GIs-Based Viewshed Delineation Techniques.2001, 293-298
Using ArcGIS Spatial Analyst. GIS by ESRI. 2002,238
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