Gis and fuzzy logic approach for forest fire risk modeling in the Cajamarca region, Peru

IF 1.4 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Alex Vergara Anticona, Candy Ocaña Zúñiga, A. R. D. Santos, A. S. Lorenzon, Plinio Antonio Guerra Filho
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引用次数: 1

Abstract

Forest fires are a potential threat to life, as they contribute to reducing forest areas, impact on the services we expect from ecosystems, the health of the inhabitants is affected by smoke and the economic costs for the recovery of affected areas is high. The objective of the study is to apply fuzzy logic to model the risk of forest fires in the Cajamarca-Peru region, incorporating variables that represent biological, topographic, socioeconomic, and meteorological factors. The analysis was based on the acquisition, editing and rasterization of the database, application of fuzzy membership functions and image fuzzification, fuzzy superposition and spatial reclassification of forest fire risk. The results obtained show that 71.68% of the area is under very low or medium forest fire risk. However, 28.32% of the study area has a high to very high fire risk, which makes the occurrence of fires susceptible to the lack of rain and water in the soil. It was found that biological, topographic, and socioeconomic factors with their respective variables are directly influenced by meteorological factor variables such as temperature, rainfall and water availability. Fuzzy logic offered flexibility in modeling wildfire risk in the region, proving to be a useful tool for predicting and mapping wildfire risk.
地理信息系统和模糊逻辑方法在秘鲁卡哈马卡地区的森林火灾风险建模
森林火灾是对生命的潜在威胁,因为它们有助于减少森林面积,影响我们期望从生态系统获得的服务,居民的健康受到烟雾的影响,受灾地区恢复的经济成本很高。该研究的目的是应用模糊逻辑对卡哈马卡-秘鲁地区的森林火灾风险进行建模,并结合代表生物、地形、社会经济和气象因素的变量。通过对数据库的采集、编辑和栅格化,应用模糊隶属函数和图像模糊化,模糊叠加和空间重分类对森林火险进行分析。结果表明,71.68%的区域处于极低或中等森林火灾风险状态。然而,28.32%的研究区域具有高至极高的火灾风险,这使得火灾的发生容易受到土壤中雨水和水分不足的影响。研究发现,气温、降雨量和水分有效性等气象因子对生物因子、地形因子和社会经济因子及其各自变量均有直接影响。模糊逻辑为该地区的野火风险建模提供了灵活性,是预测和绘制野火风险的有用工具。
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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来源期刊
Decision Science Letters
Decision Science Letters Decision Sciences-Decision Sciences (all)
CiteScore
3.40
自引率
5.30%
发文量
49
审稿时长
20 weeks
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