Michele Salis, Liliana Del Giudice, Fermin Alcasena-Urdiroz, Roghayeh Jahdi, Bachisio Arca, Grazia Pellizzaro, Carla Scarpa, Pierpaolo Duce
{"title":"评估意法海上合作区跨境野火危害、传播和对社区的影响","authors":"Michele Salis, Liliana Del Giudice, Fermin Alcasena-Urdiroz, Roghayeh Jahdi, Bachisio Arca, Grazia Pellizzaro, Carla Scarpa, Pierpaolo Duce","doi":"10.3389/ffgc.2023.1241378","DOIUrl":null,"url":null,"abstract":"The growing threats posed by wildfires in Southern Europe are calling for the development of comprehensive and sound management and risk assessment strategies. In this work, we present the application of wildfire simulation modeling based on the minimum travel time (MTT) algorithm to assess fine-scale (100-m resolution) wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area (Sardinia, Corsica, Tuscany, Liguria and Provence-Alpes-Côte d’Azur), which cover about 72,000 km 2 of land. We simulated thousands of wildfires considering the current landscape and characterized and measured fine-scale wildfire risk factors and profiles by taking into account historical fire regimes, fuels, winds and fuel moisture conditions associated with the occurrence of the largest wildfires (>100 ha) that affected the study area in the last 20 years. Individual fires were simulated at 100-m resolution, consistent with the input files. Modeled annual burn probability and ignition probability revealed that Sardinia was the Region most affected by wildfires. The wildfire simulation outputs were then combined with main land uses and building footprint locations to characterize wildfire transmission and exposure to communities, and were summarized for main vegetation types and Regions. This study presents a cross-boundary and standardized approach based on wildfire spread modeling to analyze and quantify wildfire risk profiles in Southern Europe. The stochastic wildfire modeling systems we implemented used harmonized sets of data for a vast, fire-prone Mediterranean area, where previous similar studies were conducted at coarser resolutions and covered lower extent of lands. The approach presented in this work can be used as a reference pillar for the development and implementation of a common wildfire risk monitoring, management, and governance plan in the study area. The methods and findings of this study can be replicated in neighboring Mediterranean and other regions threatened by wildfires.","PeriodicalId":12538,"journal":{"name":"Frontiers in Forests and Global Change","volume":"87 1","pages":"0"},"PeriodicalIF":2.7000,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing cross-boundary wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area\",\"authors\":\"Michele Salis, Liliana Del Giudice, Fermin Alcasena-Urdiroz, Roghayeh Jahdi, Bachisio Arca, Grazia Pellizzaro, Carla Scarpa, Pierpaolo Duce\",\"doi\":\"10.3389/ffgc.2023.1241378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The growing threats posed by wildfires in Southern Europe are calling for the development of comprehensive and sound management and risk assessment strategies. In this work, we present the application of wildfire simulation modeling based on the minimum travel time (MTT) algorithm to assess fine-scale (100-m resolution) wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area (Sardinia, Corsica, Tuscany, Liguria and Provence-Alpes-Côte d’Azur), which cover about 72,000 km 2 of land. We simulated thousands of wildfires considering the current landscape and characterized and measured fine-scale wildfire risk factors and profiles by taking into account historical fire regimes, fuels, winds and fuel moisture conditions associated with the occurrence of the largest wildfires (>100 ha) that affected the study area in the last 20 years. Individual fires were simulated at 100-m resolution, consistent with the input files. Modeled annual burn probability and ignition probability revealed that Sardinia was the Region most affected by wildfires. The wildfire simulation outputs were then combined with main land uses and building footprint locations to characterize wildfire transmission and exposure to communities, and were summarized for main vegetation types and Regions. This study presents a cross-boundary and standardized approach based on wildfire spread modeling to analyze and quantify wildfire risk profiles in Southern Europe. The stochastic wildfire modeling systems we implemented used harmonized sets of data for a vast, fire-prone Mediterranean area, where previous similar studies were conducted at coarser resolutions and covered lower extent of lands. The approach presented in this work can be used as a reference pillar for the development and implementation of a common wildfire risk monitoring, management, and governance plan in the study area. The methods and findings of this study can be replicated in neighboring Mediterranean and other regions threatened by wildfires.\",\"PeriodicalId\":12538,\"journal\":{\"name\":\"Frontiers in Forests and Global Change\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2023-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Forests and Global Change\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/ffgc.2023.1241378\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Forests and Global Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/ffgc.2023.1241378","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
南欧野火造成的威胁日益严重,要求制定全面和健全的管理和风险评估战略。在这项工作中,我们介绍了基于最小旅行时间(MTT)算法的野火模拟建模的应用,以评估意大利-法国海上合作区域(撒丁岛、科西嘉岛、托斯卡纳、利古里亚和Provence-Alpes-Côte d 'Azur)的野火危害、传播和暴露给社区的细尺度(100米分辨率),该区域覆盖约72,000平方公里的土地。考虑到目前的景观,我们模拟了数千起野火,并通过考虑与过去20年来影响研究区域的最大野火(100公顷)发生相关的历史火灾制度、燃料、风和燃料湿度条件,表征和测量了精细尺度野火风险因素和概况。单个火灾的模拟分辨率为100米,与输入文件一致。模拟的年燃烧概率和着火概率显示,撒丁岛是受野火影响最大的地区。然后将野火模拟输出与主要土地利用和建筑足迹位置相结合,以表征野火传播和对社区的暴露,并总结为主要植被类型和区域。本研究提出了一种基于野火蔓延模型的跨界标准化方法来分析和量化南欧的野火风险概况。我们实施的随机野火建模系统使用了一组统一的数据,这些数据来自一个广阔的、容易发生火灾的地中海地区,而之前的类似研究是以较粗的分辨率进行的,覆盖的土地范围较低。本研究中提出的方法可以作为研究区域制定和实施通用野火风险监测、管理和治理计划的参考支柱。这项研究的方法和结果可以在邻近的地中海和其他受到野火威胁的地区复制。
Assessing cross-boundary wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area
The growing threats posed by wildfires in Southern Europe are calling for the development of comprehensive and sound management and risk assessment strategies. In this work, we present the application of wildfire simulation modeling based on the minimum travel time (MTT) algorithm to assess fine-scale (100-m resolution) wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area (Sardinia, Corsica, Tuscany, Liguria and Provence-Alpes-Côte d’Azur), which cover about 72,000 km 2 of land. We simulated thousands of wildfires considering the current landscape and characterized and measured fine-scale wildfire risk factors and profiles by taking into account historical fire regimes, fuels, winds and fuel moisture conditions associated with the occurrence of the largest wildfires (>100 ha) that affected the study area in the last 20 years. Individual fires were simulated at 100-m resolution, consistent with the input files. Modeled annual burn probability and ignition probability revealed that Sardinia was the Region most affected by wildfires. The wildfire simulation outputs were then combined with main land uses and building footprint locations to characterize wildfire transmission and exposure to communities, and were summarized for main vegetation types and Regions. This study presents a cross-boundary and standardized approach based on wildfire spread modeling to analyze and quantify wildfire risk profiles in Southern Europe. The stochastic wildfire modeling systems we implemented used harmonized sets of data for a vast, fire-prone Mediterranean area, where previous similar studies were conducted at coarser resolutions and covered lower extent of lands. The approach presented in this work can be used as a reference pillar for the development and implementation of a common wildfire risk monitoring, management, and governance plan in the study area. The methods and findings of this study can be replicated in neighboring Mediterranean and other regions threatened by wildfires.