Yangın Ekiplerinin Konumlarının Yöneylem Araştırması ve Coğrafi Bilgi Sistemleri Kullanılarak Belirlenmesi: İzmir Örneği

Coğrafi Bilgi Sistemleri (CBS), Küresel Konumlandırma Sistemleri (KKS) ve Uzaktan Algılama (UA) gibi konumsal bilgi sistemleri ve teknolojileri, kaynak yöneticilerine ormanı anlamaları ve analiz etmeleri için araçlar sağlamaktadır. Orman planlama süreci giderek karmaşık bir hal aldığından orman planlamacılarına yardımcı olacak operasyonel araçlara ihtiyaç vardır. CBS ve Yöneylem Araştırmasının (YA) bir arada kullanılması, orman yöneticilerine YA tarafından önerilen çözümleri görselleştirme şansı tanımaktadır. Yangınla mücadelenin planlanması orman yönetiminin önemli bir bileşenidir ve yangın ekiplerinin sayılarının optimize edilmesi de yangınla mücadelenin planlanmasında çok önemlidir. Bu çalışmada İzmir Orman İşletme Şefliği için yangın ekiplerinin mevcut konumları incelenmekte ve yangın ekipleri sayısal harita üzerinde gösterilmektedir. Daha sonra Konumsal Küme Kapsama Problemi (KKKP) ve CBS kullanılarak yangın ekipleri için yeni konumlar önerilmektedir.

Determination of Fire Crews Locations Using Operations Research and Geographical Information Systems: İzmir Case

Spatial information systems and technologies such as Geographical Information Systems (GIS), Global Positioning Systems (GPS), and Remote Sensing (RS), provide resource managers with tools to use in analyzing and understanding a forest. As the forest planning process becomes increasingly complicated, there is a need for assisting forest planners with operative tools. The combined use of GIS and Operations Research (OR) gives forest managers the chance to visualize solutions proposed by OR. Fire fighting planning is an important component of forest management and optimizing the numbers of fire crews is very essential in fire fighting planning. In this study current locations of fire crews are examined for İzmir Forest Administration Chief Office and these fire crews are represented on a digital map. Then new locations for fire crews are proposed by using Location Set Covering Problem (LSCP) and GIS.

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