Modeling fire station establishment of industrial area using geo-spatial science

Dr. Jatisankar Bandyopadhyay, Dipankar Karar
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引用次数: 2

Abstract

Fire stations have to be situated carefully; in an emergency situation, the fire department should be able to reach its destination within time. The study exasperated to integrate Analytical Hierarchy Process (AHP) with Weighted Overlay analysis (WOA) in GIS to present a model for fire station location planning. The case study is carried out in the Asansol Sadar Subdivision of Paschim Bardhaman District, West Bengal, India. The study shows that there are 364.569 km2 of High-Risk Areas (most congested Settlements, industrial areas, and Coal Mining), 59.62 km2 of Moderate Risk, and 422.348 km2 of Low Risk. The results of this research introduce five sites that are most appropriate for establishing the new stations, which cover all the areas based on the fire response time, rules, and regulations. This analytical process considered densely populated shares of the cities and also the industrial neighborhoods in the Jamuria, Kulti – Barakar, Burnpur, Chittaranjan, and Churulia as mostly suitable zones for the new fire departments. The major advantages of the new proposed sites are accessibility to the accident-prone areas as per response time, setting in the most populated area of the zone, and the high potential for interventions, which can reduce the risk and loss of life and wealth.
基于地球空间科学的工业区消防站建设建模
消防站必须小心选址;在紧急情况下,消防部门应该能够及时到达目的地。将层次分析法(AHP)与加权叠加分析法(WOA)相结合,提出了一种基于GIS的消防站选址规划模型。案例研究是在印度西孟加拉邦Paschim Bardhaman区的Asansol Sadar分区进行的。研究表明,高风区(最密集居民点、工业区、煤矿)面积为364.569 km2,中等风险区面积为59.62 km2,低风险区面积为422.348 km2。根据火灾响应时间、规章制度等因素,提出了五个最适合新建消防站点的地点。这一分析过程认为人口稠密的城市以及贾穆里亚、库尔蒂-巴拉卡尔、本普尔、奇塔兰詹和丘鲁利亚的工业区是最适合设立新消防部门的地区。新选址的主要优势在于,根据响应时间,可接近事故易发地区,选址在该地区人口最多的地区,干预措施的潜力很大,可以减少生命和财富的风险和损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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