基于gis的有序加权平均(OWA)在野火恢复中的优先排序:以南加州为例

IF 1.6 Q4 ENVIRONMENTAL SCIENCES AIMS Environmental Science Pub Date : 2021-01-01 DOI:10.3934/environsci.2021031
Tanner Noth, C. Rinner
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引用次数: 3

摘要

野火是一种普遍存在的自然灾害,可对人口造成重大影响并造成相当大的损失。随着气候变化,许多国家的野火强度和频率都有所增加,因此在受灾地区开展有效的恢复工作至关重要。本文旨在评估有序加权平均(OWA)的有效性,OWA是一种基于gis的多标准决策分析技术,用于确定野火恢复的优先区域。以2009年加利福尼亚州的火灾为例,采用坡度、可蚀性、接近森林覆盖和接近地表水的恢复标准进行了研究。通过应用重要性和顺序权重,研究了具有不同风险水平的多个OWA决策策略。不同的策略极大地影响了被认为是野火恢复优先级高低的土地的空间分布,每种策略都有不同程度的权衡。在OWA决策空间中,完全强调最高(最佳)值(使用风险规避OR操作符)或最低值(使用风险规避AND操作符)会导致不推荐用于实际使用的复合优先级图。使用代表这些极端之间的一系列折衷决策策略的OWA操作人员可以实现更细微的场景。因此,GIS中的OWA技术可以帮助探索决策者在野火恢复环境中的风险态度的影响。
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Prioritization in wildfire restoration using GIS-based ordered weighted averaging (OWA): A case study in southern California
Wildfires are a prevalent natural disaster that can significantly impact human populations and result in considerable losses. With a changing climate, wildfires in many countries have increased in intensity and frequency, making effective restoration efforts in affected areas crucial. This paper aims to evaluate the efficacy of ordered weighted averaging (OWA), a GIS-based multi-criteria decision analysis technique, in identifying priority areas for wildfire restoration. A case study using the 2009 Station Fire in California is presented, using the restoration criteria of slope, erodibility, proximity to forest cover, and proximity to surface water. By applying both importance and order weights, multiple OWA decision strategies with varying risk levels were examined. Different strategies greatly influence the spatial distribution of land considered high and low priority for wildfire restoration, each with varying levels of trade off. In the OWA decision space, placing full emphasis on the highest (best) values (using the risk-taking OR operator) or the lowest values (using the risk-averse AND operator) resulted in composite priority maps that cannot be recommended for practical use. More nuanced scenarios are achieved with the OWA operators representing a range of compromise decision strategies between these extremes. The OWA technique in GIS can thus help to explore the impact of decision-makers' risk attitudes in a wildfire restoration setting.
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来源期刊
AIMS Environmental Science
AIMS Environmental Science ENVIRONMENTAL SCIENCES-
CiteScore
2.90
自引率
0.00%
发文量
31
审稿时长
5 weeks
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