尼泊尔达德尔杜拉地区Aalital农村市森林火灾危险区测绘

Prajwol Babu Subedi, K. Ayer, M. S. Miya, Bhawana Parajuli, Barsha Sharma
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引用次数: 1

摘要

森林火灾是森林和野生动物损失的主要原因之一。本研究的目的是利用卫星图像和地理信息系统技术评估Aalital农村市的森林火灾风险分区图。这个农村自治市是尼泊尔苏杜尔帕西姆省的一部分;容易发生森林火灾。在研究区建立了四个火灾危险区,即极高、高、中、低危险区。主题层是根据地形图和卫星图像绘制的。对于火灾危险区域的划分,采用多参数加权指数模型即火灾危险指数法。利用MODIS提供的火灾发生率数据对得到的森林火灾危险区图进行验证。极高风险区约占研究总面积的25.17%,其次是高风险区46.51%,中等风险区25.68%,低风险区2.62%。可以推断,大部分地区处于森林火灾的高风险中。这张火灾危险区地图可以作为宝贵的数据帮助灾害和森林管理,为该地区适当的火灾风险管理制定有效措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forest Fire Risk Zone Mapping of Aalital Rural Municipality, Dadeldhura District, Nepal
Forest fire is one of the leading causes of forest and wildlife loss. The objective of this study was to use satellite imagery and Geographic Information System techniques to assess the forest fire risk zonation map of the Aalital rural municipality. This rural municipality is a part of the Sudurpaschim province, Nepal; is prone to forest fires. Four fire risk zones were established in the study area i.e. very high, high, medium, and low-risk zone. Thematic layers were derived from topographic maps and satellite imageries. For the delineation of fire risk zones, a multi-parametric weighted index model i.e. the FRI (Fire Risk Index) method was adopted. The fire incidence data provided by MODIS were used to validate the resulting forest fire risk zone map. About 25.17% of the total study area lies under the very high-risk zone followed by 46.51% under high risk, 25.68% under medium risk, and 2.62% under the low-risk zone. It can be inferred that the majority of the area is at high risk of forest fire. This map of fire risk zone can help in disaster and forest management as valuable data to prepare effective measures for appropriate fire risk management in the area.
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