使用谷歌地球引擎绘制喜马拉雅邦北阿坎德邦的森林火灾风险地图

Q2 Social Sciences
A. Basu, S. Mamgain, A. Roy
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引用次数: 0

摘要

摘要气候变化加剧了印度北阿坎德邦森林火灾事件的强度和频率。本研究的重点是利用地理空间技术和谷歌地球引擎在全州范围内进行森林火灾风险测绘。确定了十个对确定火灾易发地区有很大影响的参数。然后实施层次分析法(AHP)来制定风险图,其中根据影响森林火灾事件的能力为参数分配标准权重。分析表明,森林火灾“极高”风险区占森林总面积的24.22%,“高”风险区占29.24%,“中等”风险区占18.23%,“低”风险区占7.69%,“极低”风险区占20.62%。进一步研究确定了人口稠密地区和一些具有高度生态重要性的最关键的自然保护区的火灾风险水平,结果表明,“极高”和“高”风险地区的人口密度较大,表明人为活动对森林火灾发生的影响。结果还表明,目前四个国家公园和野生动物保护区特别容易受到森林火灾的影响,这是一个值得关注的问题,需要利益相关者的干预。
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 MAPPING FOR THE HIMALAYAN STATE UTTARAKHAND USING GOOGLE EARTH ENGINE
Abstract. Climate change has exacerbated the intensity as well as frequency of forest fire events in the Indian state of Uttarakhand. The present study focusses on undertaking forest fire risk mapping across the state by utilizing geospatial technology along with Google Earth Engine. Ten parameters were identified that have a strong influence in determining fire prone areas. The Analytic Hierarchy Process (AHP) was then implemented for the development of the risk map in which criteria weights were assigned to the parameters based on their ability to influence a forest fire event. The analysis revealed that out of the total forest area, 24.22% is under ‘very high’ risk zone, 29.24% is under ‘high’ risk zone, 18.23% is under ‘moderate’ risk zone, 7.69% is under ‘low’ risk zone and 20.62% is under ‘very low’ risk zone of forest fire. Further study was carried out to determine fire risk levels in populated regions and in some of the most critical nature reserves having high ecological importance which reveals that ‘very high’ and ‘high’ risk zones have greater population density indicating the influence of anthropogenic activities on forest fire occurrence. The results additionally indicate that four national parks and wildlife sanctuaries are particularly vulnerable to forest fires at present which is a source of concern and requires intervention from the stakeholders.
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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