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Forest fire monitoring in Nabe Matta Protected area (Tartous) utilizing the technology of remote sensing and Geographic Information System

مراقبة حرائق الغابات في محمية النبي متى (محافظة طرطوس) باستخدام تقنيات الاستشعار عن بعد و 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 study includes a full analysis of climatic, vegetation, and topographical factors in Nabe Matta preserve (Drekish Region – Tartous Governorate – Syria), which is considered as the most important factors affecting forest fires. The data were collected for each fire and analyzed by statistical programs (SPSS) and (EXCEL), and the relationship between these multiple factors and the phenomenon of recurrence of fire in one area (fire risk region) was studied. Then the data and the results of the analysis and multi relationship had been studied within the geographic information system software (GIS) to obtain the map of fire risk region, as well as results from topographic maps (1:50.000), aerial photographs (1:25.000), and the needed maps were designed for the study such as (slope map - aspect map - vegetation cover map - infrastructure map - fire risk region map),then places of monitoring towers and centers of rapid intervention in high-risk areas have been proposed for the occurrence of fires. These maps are considered as warning systems and with it we can predict the probability of any fire in the Preserve when the appropriate conditions are provided for it.


Artificial intelligence review:
Research summary
تتناول هذه الدراسة تحليل العوامل المناخية والنباتية والطبوغرافية المؤثرة على حرائق الغابات في محمية النبي متى بمحافظة طرطوس، سوريا. تم جمع البيانات المتعلقة بكل حريق وتحليلها باستخدام برامج إحصائية مثل SPSS وEXCEL، ودراسة الارتباط المتعدد بين هذه العوامل وظاهرة تكرار الحريق في منطقة معينة. تم استخدام نظام المعلومات الجغرافية (GIS) لمعالجة البيانات وتحليلها، مما أسفر عن خريطة لمناطق خطر الحريق. تم تصميم خرائط مختلفة مثل خريطة الانحدار، المعرض، التغطية النباتية، البنية التحتية، ومناطق خطر الحريق. اقترحت الدراسة أماكن لأبراج المراقبة ومراكز التدخل السريع في المناطق ذات الخطورة العالية. تُعد هذه الخرائط أنظمة إنذار مبكر يمكن من خلالها التنبؤ بحدوث حريق في المحمية عند توافر الشروط الملائمة. خلصت الدراسة إلى أن الحرائق تشكل تهديدًا رئيسيًا للمحمية، خاصة لتجمعات الصنوبر البروتي والحلبي، وأوصت بوضع إستراتيجية لحماية المحمية تتضمن تطوير البنية التحتية، إعداد قاعدة بيانات وطنية، إقامة أبراج مراقبة، تنظيف المواقع الحراجية، وإدخال أنواع نباتية مقاومة للحرائق.
Critical review
دراسة نقدية: تعد هذه الدراسة خطوة هامة في مجال مراقبة حرائق الغابات باستخدام تقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية. ومع ذلك، يمكن أن تكون هناك بعض النقاط التي تحتاج إلى تحسين. أولاً، قد يكون من المفيد تضمين دراسات مقارنة مع مناطق أخرى مشابهة لتأكيد النتائج وتوسيع نطاق التطبيق. ثانيًا، يجب النظر في تأثير التغيرات المناخية المستقبلية على نتائج الدراسة، حيث أن التغير المناخي يمكن أن يؤثر بشكل كبير على العوامل المناخية والنباتية والطبوغرافية. ثالثًا، يمكن تعزيز الدراسة من خلال تضمين المزيد من البيانات الميدانية والمقابلات مع الخبراء المحليين لتقديم صورة أكثر شمولية. وأخيرًا، يجب التأكد من أن التوصيات المقترحة قابلة للتنفيذ من الناحية العملية والمالية لضمان تحقيق الأهداف المرجوة.
Questions related to the research
  1. ما هي العوامل الرئيسية التي تؤثر على حرائق الغابات في محمية النبي متى؟

    العوامل الرئيسية تشمل العوامل المناخية، النباتية، والطبوغرافية.

  2. ما هي الأدوات والبرامج التي استخدمت في تحليل البيانات في هذه الدراسة؟

    تم استخدام برامج SPSS وEXCEL لتحليل البيانات، ونظام المعلومات الجغرافية (GIS) لمعالجة البيانات وتصميم الخرائط.

  3. ما هي التوصيات الرئيسية التي خلصت إليها الدراسة؟

    التوصيات تشمل تطوير البنية التحتية، إعداد قاعدة بيانات وطنية، إقامة أبراج مراقبة، تنظيف المواقع الحراجية، وإدخال أنواع نباتية مقاومة للحرائق.

  4. كيف يمكن استخدام خرائط خطر الحريق التي تم إعدادها في هذه الدراسة؟

    يمكن استخدام هذه الخرائط كنظام إنذار مبكر للتنبؤ بحدوث حرائق في المحمية عند توافر الشروط الملائمة.


References used
ABBAS, H; Barbero, M; Loisel, R; Quezel, P. Les forêts de pin d'Alep dans le sud-est mediterraneen francais. Analyses ecodendrometriques (première partie). Forêt Mediterraneen I (1). 1985, 35-41
BARTLETTE, R. Using the normalized difference vegetationindex from AVHRR imagery for fire potential assessment in the United States. In: 3rd International Workshop on Remote Sensing and GIS Applications to Forest Fire Management : New Methods and Sensors. Paris, European Association of Remote Sensing Laboratories, . 2001, 19-21
BEHAN, R. Multi-resource forest management: A paradigmatic challenge to professional forestry.Journal of Forestry, April: 1990. 12-18
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