Pub Date : 2022-08-24DOI: 10.3390/environsciproc2022017100
Andrea Duane, A. Trasobares, E. Górriz, L. Casafont, S. Maltoni
{"title":"The FIRE-RES Project: Innovative Technologies and Socio-Ecological–Economic Solutions for FIRE RESilient Territories in Europe","authors":"Andrea Duane, A. Trasobares, E. Górriz, L. Casafont, S. Maltoni","doi":"10.3390/environsciproc2022017100","DOIUrl":"https://doi.org/10.3390/environsciproc2022017100","url":null,"abstract":"","PeriodicalId":291013,"journal":{"name":"The Third International Conference on Fire Behavior and Risk","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126163843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-24DOI: 10.3390/environsciproc2022017099
Beatriz Lourenço, B. Aparício, C. Bruni, A. Benali, A. Sá
{"title":"Assessing Economical Losses in Pulp Industry Properties Due to Large Wildfires in Central Portugal","authors":"Beatriz Lourenço, B. Aparício, C. Bruni, A. Benali, A. Sá","doi":"10.3390/environsciproc2022017099","DOIUrl":"https://doi.org/10.3390/environsciproc2022017099","url":null,"abstract":"","PeriodicalId":291013,"journal":{"name":"The Third International Conference on Fire Behavior and Risk","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129311081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-23DOI: 10.3390/environsciproc2022017098
Laura Carlon
: MED-PSS is a Franco-Italian cooperation project aiming at developing the culture of wildfire risk among the populations of the regions of Provence-Alpes-C ô te d’Azur and Corsica (France), and Liguria, Tuscany and Sardinia (Italy). It is part of the Med-STAR projects consortium. MED-PSS provides, through a state-of-the-art focused on fire-fighting communication best practices related to prevention and alert, a better understanding of the relationship that institutions with prevention missions maintain with different target groups in their territory and of how to sensitize them in a relevant and effective way to prevent the risk of wildfires. The state-of-the-art proposes, in support of a survey, a definition of the variants that compose the culture of wildfires’ risk. It identifies the target groups to be informed and sensitized in priority, as well as possible actions to undertake to go beyond the simple acquisition of technical and scientific knowledge in order to engage a real understanding of the wildfire phenomenon and automatisms to anticipate the risk and reduce it. In order to enhance and disseminate the culture of wildfire risk, the eight institutions composing the project’s partnership implemented 20 communication experiments in their territories. Demonstration operations addressing neighbourhoods at risk, the creation of a youth regional forest guard, the implementation of new technology-based apps and smart signage to alert the population, a traveling exhibition on wildfire prevention, the creation of multimedia products to engage schools and students in prevention programmes, and fire risk-level bulletins for operators in the wildfire sector are among the experiments undertaken trough the project to address the various audiences. Lessons learned from the experiments will be compiled in a communication best practices guide, which will provide operational keys for defining an effective, preventive communication strategy and improving transboundary institutional fire prevention approaches.
MED-PSS是一项法国-意大利合作项目，旨在在普罗旺斯-阿尔卑斯- c ô蔚蓝海岸和科西嘉(法国)以及利古里亚、托斯卡纳和撒丁岛(意大利)地区的人口中发展野火风险文化。它是Med-STAR项目联盟的一部分。MED-PSS通过关注与预防和警报有关的消防通信最佳实践的最先进技术，更好地了解具有预防任务的机构与其领土内不同目标群体之间的关系，以及如何以相关和有效的方式提高他们的敏感性，以防止野火风险。为了支持一项调查，最先进的技术提出了对构成野火风险文化的变体的定义。它确定了应优先告知和提高认识的目标群体，以及可能采取的行动，以超越简单地获取技术和科学知识，以便真正了解野火现象和自动预测风险并减少风险。为了加强和传播野火风险文化，组成该项目伙伴关系的8个机构在其领土内实施了20项传播实验。为应对不同受众，该项目开展了一系列实验，其中包括针对高危社区的示范行动、创建青年区域森林卫队、实施基于新技术的应用程序和智能标牌以提醒民众、举办野火预防巡回展览、制作多媒体产品以吸引学校和学生参与预防方案、以及为野火部门的运营商发布火灾风险级别公告。从试验中吸取的经验教训将汇编成一份通信最佳做法指南，该指南将为确定有效的预防性通信战略和改进跨界机构防火方法提供操作关键。
{"title":"Med-PSS: Developing a Forest Fire Risk Culture in the Franco-Italian Mediterranean Area","authors":"Laura Carlon","doi":"10.3390/environsciproc2022017098","DOIUrl":"https://doi.org/10.3390/environsciproc2022017098","url":null,"abstract":": MED-PSS is a Franco-Italian cooperation project aiming at developing the culture of wildfire risk among the populations of the regions of Provence-Alpes-C ô te d’Azur and Corsica (France), and Liguria, Tuscany and Sardinia (Italy). It is part of the Med-STAR projects consortium. MED-PSS provides, through a state-of-the-art focused on fire-fighting communication best practices related to prevention and alert, a better understanding of the relationship that institutions with prevention missions maintain with different target groups in their territory and of how to sensitize them in a relevant and effective way to prevent the risk of wildfires. The state-of-the-art proposes, in support of a survey, a definition of the variants that compose the culture of wildfires’ risk. It identifies the target groups to be informed and sensitized in priority, as well as possible actions to undertake to go beyond the simple acquisition of technical and scientific knowledge in order to engage a real understanding of the wildfire phenomenon and automatisms to anticipate the risk and reduce it. In order to enhance and disseminate the culture of wildfire risk, the eight institutions composing the project’s partnership implemented 20 communication experiments in their territories. Demonstration operations addressing neighbourhoods at risk, the creation of a youth regional forest guard, the implementation of new technology-based apps and smart signage to alert the population, a traveling exhibition on wildfire prevention, the creation of multimedia products to engage schools and students in prevention programmes, and fire risk-level bulletins for operators in the wildfire sector are among the experiments undertaken trough the project to address the various audiences. Lessons learned from the experiments will be compiled in a communication best practices guide, which will provide operational keys for defining an effective, preventive communication strategy and improving transboundary institutional fire prevention approaches.","PeriodicalId":291013,"journal":{"name":"The Third International Conference on Fire Behavior and Risk","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127683961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-22DOI: 10.3390/environsciproc2022017094
Rawaa Jamaladdeen, B. Coudour, Hui-Ying Wang, J. Garo
{"title":"VOCs and Wildfire Flashovers","authors":"Rawaa Jamaladdeen, B. Coudour, Hui-Ying Wang, J. Garo","doi":"10.3390/environsciproc2022017094","DOIUrl":"https://doi.org/10.3390/environsciproc2022017094","url":null,"abstract":"","PeriodicalId":291013,"journal":{"name":"The Third International Conference on Fire Behavior and Risk","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114577452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-22DOI: 10.3390/environsciproc2022017097
Tommaso Richelmy, G. Re, F. Sanna, A. Franca, M. Salis, B. Arca
1 Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg, Denmark 2 National Research Council Institute for the Animal Production System in the Mediterranean Environment (CNR-ISPAAM), 07100 Sassari, Italy 3 National Research Council, Institute of BioEconomy (CNR-IBE), 07100 Sassari, Italy * Correspondence: trp184@ku.dk † Presented at the Third International Conference on Fire Behavior and Risk, Sardinia, Italy, 3–6 May 2022.
{"title":"A Spatial Analysis of Wildfire Risk Factors in Agroforestry Areas under Climate Change: A Case Study from Monte Pisanu, Sardinia (Italy)","authors":"Tommaso Richelmy, G. Re, F. Sanna, A. Franca, M. Salis, B. Arca","doi":"10.3390/environsciproc2022017097","DOIUrl":"https://doi.org/10.3390/environsciproc2022017097","url":null,"abstract":"1 Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg, Denmark 2 National Research Council Institute for the Animal Production System in the Mediterranean Environment (CNR-ISPAAM), 07100 Sassari, Italy 3 National Research Council, Institute of BioEconomy (CNR-IBE), 07100 Sassari, Italy * Correspondence: trp184@ku.dk † Presented at the Third International Conference on Fire Behavior and Risk, Sardinia, Italy, 3–6 May 2022.","PeriodicalId":291013,"journal":{"name":"The Third International Conference on Fire Behavior and Risk","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124403760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-22DOI: 10.3390/environsciproc2022017096
Giacomo Pacini, I. Cacciatore, Gianluca Calvani
{"title":"New Specific Plans for Forest Fire Prevention","authors":"Giacomo Pacini, I. Cacciatore, Gianluca Calvani","doi":"10.3390/environsciproc2022017096","DOIUrl":"https://doi.org/10.3390/environsciproc2022017096","url":null,"abstract":"","PeriodicalId":291013,"journal":{"name":"The Third International Conference on Fire Behavior and Risk","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125029754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-22DOI: 10.3390/environsciproc2022017095
E. Marshall, S. McColl-Gausden, L. Collins, L. Bennett, T. Penman
: A key gap in conservation management is understanding how fire regimes may shift under climate change and how these shifts might impact biodiversity. Conserving species and communities in the future will require the strategic prioritisation of conservation actions that account for shifting fire regimes. We used a landscape fire regime model, the Fire Regime and Operations Simulation Tool (FROST), to estimate the wildfire risk of 12 regions in Victoria, Australia. Each region is approximately 1.2 million hectares in size and collectively span a range of climatic gradients. We modelled three epochs of climate data: 1990 to 2009, 2020 to 2039, and 2060 to 2079, alongside three fuel management strategies: no prescribed burning, low rates of prescribed burning, and high rates of prescribed burning. We analyse changes in fire frequency, extent, intensity, and severity across Victoria to provide estimates of potential risk under the three management scenarios for each epoch. Wildfire risks increased under future climate predictions and from west to central Victoria, declining again in the eastern regions. These simulations provide baseline estimates for the spatial distribution of future wildfire risk across Victoria, Australia, and can be used to help prioritise conservation actions to areas of the lowest risk. We also found that there were no statistically significant differences between fuel management scenarios, reiterating that prescribed burning will not necessarily negate the impacts of climate change on future wildfire risk. Incorporating spatial estimates of future wildfire risk can improve the prioritisation of conservation decisions and can help protect biodiversity in the long term.
{"title":"Spatial Estimates of Future Fire Risk Considering Climate and Fuel Management for Conservation Planning","authors":"E. Marshall, S. McColl-Gausden, L. Collins, L. Bennett, T. Penman","doi":"10.3390/environsciproc2022017095","DOIUrl":"https://doi.org/10.3390/environsciproc2022017095","url":null,"abstract":": A key gap in conservation management is understanding how fire regimes may shift under climate change and how these shifts might impact biodiversity. Conserving species and communities in the future will require the strategic prioritisation of conservation actions that account for shifting fire regimes. We used a landscape fire regime model, the Fire Regime and Operations Simulation Tool (FROST), to estimate the wildfire risk of 12 regions in Victoria, Australia. Each region is approximately 1.2 million hectares in size and collectively span a range of climatic gradients. We modelled three epochs of climate data: 1990 to 2009, 2020 to 2039, and 2060 to 2079, alongside three fuel management strategies: no prescribed burning, low rates of prescribed burning, and high rates of prescribed burning. We analyse changes in fire frequency, extent, intensity, and severity across Victoria to provide estimates of potential risk under the three management scenarios for each epoch. Wildfire risks increased under future climate predictions and from west to central Victoria, declining again in the eastern regions. These simulations provide baseline estimates for the spatial distribution of future wildfire risk across Victoria, Australia, and can be used to help prioritise conservation actions to areas of the lowest risk. We also found that there were no statistically significant differences between fuel management scenarios, reiterating that prescribed burning will not necessarily negate the impacts of climate change on future wildfire risk. Incorporating spatial estimates of future wildfire risk can improve the prioritisation of conservation decisions and can help protect biodiversity in the long term.","PeriodicalId":291013,"journal":{"name":"The Third International Conference on Fire Behavior and Risk","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131403745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-19DOI: 10.3390/environsciproc2022017091
Giuseppe Squicciarino, E. Fiori, U. Morra di Cella, P. Fiorucci, L. Pulvirenti
An automatic near-real-time (NRT) burned area (BA) mapping approach is presented. It is based on the AUTOmatic Burned Areas Mapper (AUTOBAM) tool proposed in Pulvirenti et al. (2020) and designed to map BA using Sentinel-2 (S2) data. S2 data are complemented by ancillary data, namely MODIS-derived and VIIRS-derived active fire products, fire susceptibility mapping, and by fire notifications from operational rooms. Italy is chosen because the AUTOBAM tool was originally designed to respond to a request by the Italian Department of Civil Protection. Moreover, notifications from the firefighting fleet belonging to Joint Air Operating Centre and (for some regions such as Lazio) from the Unified Permanent Fire Protection Unit are available in NRT. AUTOBAM uses S2 level 2A (L2A) surface reflectance products. When new L2A products are available, they are automatically downloaded and processed. The processing firstly computes the Normalized Burn Ratio, the Normalized Burned Ratio 2, and the Mid-Infrared Burned Index. Then, AUTOBAM applies a change detection approach that compares the values of the aforementioned indices acquired at the current time with the values derived from the most recent cloud-free S2 data. BA mapping is performed by using different image processing techniques (clustering, automatic thresholding, region growing). Output maps are resampled to a common grid whose pixel size is 20 m. The evaluation of the results is carried out using different data sources. First, for 2–3 selected events (e.g., the fire that hit Sardinia in 2021), subsets of the BA maps are evaluated through comparison with aerial photos taken by Unmanned Aerial Vehicles. In addition, for the years of 2019–2020, AUTOBAM-derived BAs are compared with burned perimeters compiled by Carabinieri Command of Units for Forestry, Environmental and Agri-food protection. The results indicate that the proposed method has potential for NRT mapping of BAs.
{"title":"Near-Real-Time Burned Area Mapping Using Sentinel-2 and Ancillary Data: Italy as a Test Case","authors":"Giuseppe Squicciarino, E. Fiori, U. Morra di Cella, P. Fiorucci, L. Pulvirenti","doi":"10.3390/environsciproc2022017091","DOIUrl":"https://doi.org/10.3390/environsciproc2022017091","url":null,"abstract":"An automatic near-real-time (NRT) burned area (BA) mapping approach is presented. It is based on the AUTOmatic Burned Areas Mapper (AUTOBAM) tool proposed in Pulvirenti et al. (2020) and designed to map BA using Sentinel-2 (S2) data. S2 data are complemented by ancillary data, namely MODIS-derived and VIIRS-derived active fire products, fire susceptibility mapping, and by fire notifications from operational rooms. Italy is chosen because the AUTOBAM tool was originally designed to respond to a request by the Italian Department of Civil Protection. Moreover, notifications from the firefighting fleet belonging to Joint Air Operating Centre and (for some regions such as Lazio) from the Unified Permanent Fire Protection Unit are available in NRT. AUTOBAM uses S2 level 2A (L2A) surface reflectance products. When new L2A products are available, they are automatically downloaded and processed. The processing firstly computes the Normalized Burn Ratio, the Normalized Burned Ratio 2, and the Mid-Infrared Burned Index. Then, AUTOBAM applies a change detection approach that compares the values of the aforementioned indices acquired at the current time with the values derived from the most recent cloud-free S2 data. BA mapping is performed by using different image processing techniques (clustering, automatic thresholding, region growing). Output maps are resampled to a common grid whose pixel size is 20 m. The evaluation of the results is carried out using different data sources. First, for 2–3 selected events (e.g., the fire that hit Sardinia in 2021), subsets of the BA maps are evaluated through comparison with aerial photos taken by Unmanned Aerial Vehicles. In addition, for the years of 2019–2020, AUTOBAM-derived BAs are compared with burned perimeters compiled by Carabinieri Command of Units for Forestry, Environmental and Agri-food protection. The results indicate that the proposed method has potential for NRT mapping of BAs.","PeriodicalId":291013,"journal":{"name":"The Third International Conference on Fire Behavior and Risk","volume":"1735 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129446006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-19DOI: 10.3390/environsciproc2022017090
Ondine Le Fur, P. Dérioz, M. Jappiot, Raphaele Blanchi
When large urban agglomerations are located in wildfire prone regions, adapting to the demographic changes while limiting wildfire vulnerability of communities is a challenge for urban planners and policy-makers. The most at-risk communities are found on the urban fringes of the city, a peri-urban crown so-called the wildland-urban interface (WUI). People who live in WUI are therefore directly exposed to consequences of urban planning decisions and its natural risk management, or failure to do so. To keep them safe, they have to prepare their property and themselves to a possible fire by considering the surrounding landscape and its wildfire risk patterns. How do these communities adapt to the local wildfire risk context when they are part of a big city? On what grounds do they build their local wildfire risk knowledge? To investigate these questions, we developed in 2021 a socio-spatial study on bushfire (the Australian’s wildfire) risk representation across three communities in residential areas at the edge of Melbourne’s urban development. We first studied the geography of the sites, especially the accessibility to city centre, the bushfire risk, urban planning documents and bushfire risk regulations. It led us to assume that some metropolitan contexts, such as turnover, new urban areas and city-oriented lifestyles, might disconnect residents from their neighbourhood’s bushfire risk. Then, through in-depth interviews with the residents, we identified the significant individual and community lifestyle characteristics and their bushfire risk representations using the landscape as an analytical experimental scenery. In January 2022, a survey will be distributed to the residents to analyse the connections between metropolitan influences, their wildfire risk representations and their ways of adaptation. For these study cases, descriptive attributes of the landscape are triggers that help metropolitan residents to materialise their vulnerability. Results are relevant for information on residents’ risk awareness and prevention actions.
{"title":"How Do the Residents of a Peri-Urban Metropolitan Area Perceive and Adapt to Their Surrounding Landscape; A Socio-Spatial Study of the Bushfire Risk Representation in Greater Melbourne Urban Fringes","authors":"Ondine Le Fur, P. Dérioz, M. Jappiot, Raphaele Blanchi","doi":"10.3390/environsciproc2022017090","DOIUrl":"https://doi.org/10.3390/environsciproc2022017090","url":null,"abstract":"When large urban agglomerations are located in wildfire prone regions, adapting to the demographic changes while limiting wildfire vulnerability of communities is a challenge for urban planners and policy-makers. The most at-risk communities are found on the urban fringes of the city, a peri-urban crown so-called the wildland-urban interface (WUI). People who live in WUI are therefore directly exposed to consequences of urban planning decisions and its natural risk management, or failure to do so. To keep them safe, they have to prepare their property and themselves to a possible fire by considering the surrounding landscape and its wildfire risk patterns. How do these communities adapt to the local wildfire risk context when they are part of a big city? On what grounds do they build their local wildfire risk knowledge? To investigate these questions, we developed in 2021 a socio-spatial study on bushfire (the Australian’s wildfire) risk representation across three communities in residential areas at the edge of Melbourne’s urban development. We first studied the geography of the sites, especially the accessibility to city centre, the bushfire risk, urban planning documents and bushfire risk regulations. It led us to assume that some metropolitan contexts, such as turnover, new urban areas and city-oriented lifestyles, might disconnect residents from their neighbourhood’s bushfire risk. Then, through in-depth interviews with the residents, we identified the significant individual and community lifestyle characteristics and their bushfire risk representations using the landscape as an analytical experimental scenery. In January 2022, a survey will be distributed to the residents to analyse the connections between metropolitan influences, their wildfire risk representations and their ways of adaptation. For these study cases, descriptive attributes of the landscape are triggers that help metropolitan residents to materialise their vulnerability. Results are relevant for information on residents’ risk awareness and prevention actions.","PeriodicalId":291013,"journal":{"name":"The Third International Conference on Fire Behavior and Risk","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134264985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-19DOI: 10.3390/environsciproc2022017092
C. Andrade, L. Bugalho
: Wildfires are one of the major natural hazards in various regions of the globe, such as California in the United States [1], Australia, and in the Euro-Mediterranean region [2]. They have devastating impacts not only on local economy, agroforestry systems and environment, public health but also due to the loss of human lives. Portugal has the highest density and relative burned area of all European countries and in 2017 more than 100 people have died on 17 June and 15 October; therefore, it is highly relevant to invest in its prevention. The FWI (Fire Weather Index) index has been used since the 1980s in Portugal to predict the danger of forest fire, and more recently the CHI index (Continuous Haines index) has also been used. FWI translates weather conditions at the surface that are conducive to forest fires, while CHI translates weather conditions of instability or dryness in the atmosphere in a layer close to the surface. FWI values greater than 38.2 indicate a very high to maximum wildfire danger. Regarding CHI, values equal to or greater than 10 points to a risk that, in case of an occurrence of a wildfire, it will be uncontrolled and therefore very challenging to control. The persistence of these conditions increases the danger. The purpose of this study is to investigate the spatiotemporal patterns of the combination of the FWI and CHI danger indices, among other variables related to soil conditions, such as temperature in different levels, evaporation, leaf area index among others, in Portugal and to assess possible relationships with the persistence of danger conditions and the burnt area using 2003 and 2017 as control years.
{"title":"Exploring the Combination of Fire Danger Indices and Their Persistence in Predicting Favorable Conditions for Forest Fires","authors":"C. Andrade, L. Bugalho","doi":"10.3390/environsciproc2022017092","DOIUrl":"https://doi.org/10.3390/environsciproc2022017092","url":null,"abstract":": Wildfires are one of the major natural hazards in various regions of the globe, such as California in the United States [1], Australia, and in the Euro-Mediterranean region [2]. They have devastating impacts not only on local economy, agroforestry systems and environment, public health but also due to the loss of human lives. Portugal has the highest density and relative burned area of all European countries and in 2017 more than 100 people have died on 17 June and 15 October; therefore, it is highly relevant to invest in its prevention. The FWI (Fire Weather Index) index has been used since the 1980s in Portugal to predict the danger of forest fire, and more recently the CHI index (Continuous Haines index) has also been used. FWI translates weather conditions at the surface that are conducive to forest fires, while CHI translates weather conditions of instability or dryness in the atmosphere in a layer close to the surface. FWI values greater than 38.2 indicate a very high to maximum wildfire danger. Regarding CHI, values equal to or greater than 10 points to a risk that, in case of an occurrence of a wildfire, it will be uncontrolled and therefore very challenging to control. The persistence of these conditions increases the danger. The purpose of this study is to investigate the spatiotemporal patterns of the combination of the FWI and CHI danger indices, among other variables related to soil conditions, such as temperature in different levels, evaporation, leaf area index among others, in Portugal and to assess possible relationships with the persistence of danger conditions and the burnt area using 2003 and 2017 as control years.","PeriodicalId":291013,"journal":{"name":"The Third International Conference on Fire Behavior and Risk","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126339258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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