scholarly journals PERFIL DOS INCÊNDIOS FLORESTAIS NO BRASIL DE 1994 A 1997

FLORESTA ◽  
2002 ◽  
Vol 32 (2) ◽  
Author(s):  
Ronaldo Viana Soares ◽  
Juliana Ferreira Santos
Keyword(s):  
Forest Fire ◽  
Vegetation Type ◽  
Secondary Growth ◽  
Minas Gerais ◽  
Size Class ◽  
Fire Season ◽  
Burned Area ◽  
Native Forest ◽  
Fire Statistics ◽  
Fire Control

O conhecimento do perfil dos incêndios florestais é muito importante para o planejamento do controle dos mesmos. O objetivo deste trabalho foi estabelecer o perfil dos incêndios florestais no país através de dados coletados, em áreas protegidas, no período de 1994 a 1997, através de formulários preenchidos por empresas e instituições florestais. Foram registrados e informados 1.957 incêndios e apesar deste número não representar a totalidade dos incêndios ocorridos no período estudado, constituiu-se numa base confiável para se conhecer as principais características dos incêndios. Os resultados mostraram que a área média atingida por incêndio no período analisado foi de aproximadamente 135 ha, sendo Minas Gerais o estado líder, tanto em número de incêndios informados (62,7% do total) como em área queimada (25,2%). O grupo Incendiários foi a principal causa dos incêndios, com 56,6% das ocorrências, vindo a seguir as Queimas para limpeza com 22,1%. Com relação à área queimada o grupo Queimas para limpeza , com 74,1% da superfície atingida, foi a principal causa, ficando o grupo Incendiários em segundo lugar com 19,8%. A principal estação de incêndios no país se estende de julho a novembro, quando ocorreram 79,2% dos incêndios, correspondendo a 98,6% da área atingida. O maior número de incêndios (39,7% das ocorrências) foi registrado em Outro tipo de vegetação, que inclui cerrado, capoeira e campo. Com relação à área atingida, entretanto, 92,5% foi registrada em Florestas Nativas. Quanto à distribuição dos incêndios através das classes de tamanho, 23,9% foi enquadrado na classe I ( 0,1 ha). É importante ressaltar que quanto maior a eficiência no combate aos incêndios, maior é a concentração dos mesmos na classe I. Apesar de corresponder a apenas 2,4% das ocorrências, os incêndios da classe V ( 200,0 ha) foram responsáveis por 94,5% da área queimada. FOREST FIRE STATISTICS IN BRAZIL FROM 1994 TO 1997 Abstract Forest fire statistics knowledge is an important tool for fire control planning. The objective of this research was to collect information on forest fire occurrence in Brazilian protected areas in the period of 1994 to 1997. The analyzed variables were the number of fires and burned areas per state of the federation, monthly distribution, probable causes, affected vegetation, size class distribution, and average burned area per fire. Results showed that the average burned area per fire was approximately 135 ha and Minas Gerais ranked first, both in number of registered fires (62.7%) and burned surface (25.2%). Incendiary, with 56.6% of the occurrences was the leading cause, followed by debris burning with 22.1%. However, as for the affected area, Debris burning was the leading cause (74.1%), followed by Incendiary (19.8%). The fire season extends from July to November, when 79.2% of the fires occurred, corresponding to 98.6% of the burned surface. Miscellaneous, that includes savanna, secondary growth forest, and grassland were the most affected vegetation type (39.7% of the occurrences). In relation to the burned surface, Native Forest (92.5%) ranked first. The distribution of the registered fires through the size classes presented 23.9% of the occurrences in Class I ( 0.1 ha), whereas 94.5% of the burned area were result of Class V ( 200 ha) fires. Size Class II (0.1 to 4.0 ha), with 49.1% of the occurrences, ranked first in number of registered fires during the analyzed period.

scholarly journals SOME DETAILS OF FOREST FIRE STATISTICS IN BRAZIL

FLORESTA ◽  
2009 ◽  
Vol 39 (3) ◽  
Author(s):  
Ronaldo Viana Soares1 ◽  
Juliana Ferreira Santos ◽  
Antonio Carlos Batista
Keyword(s):  
Analysis Of Variance ◽  
Forest Fire ◽  
Statistical Difference ◽  
The Other ◽  
Burned Area ◽  
Fire Occurrence ◽  
Fire Statistics ◽  
Significance Level ◽  
Burned Areas ◽  
Previous Group

The objective of this research was to answer some questions about forest fire occurrence in Brazil. A total of 19,377 fires were analyzed in the period 1998 – 2002. Tabulated data, in percentage, were transformed throughand then submitted to the analysis of variance. The means were compared through the SNK test at 5% significance level. Results showed significant differences both, in number of fires and burned areas along the months of the year. August was the month with higher number of fires, followed by July, October and September; August, September and November presented the highest burned areas. Significant differences were also detected among the group causes and along the daily hours. Incendiary was the leading cause, statistically different from the other groups, both in number of fires and burned area. About 69% of the fires, corresponding to 66% of the burned area occurred between 12 noon to 6:00 PM. Number of fires starting hourly, from 1:00 PM to 4:00 PM, didn’t differ statistically among them, but were significantly different from the other daily hours. As for the burned areas, fires starting at 5:00 PM should be included in the previous group. No statistical difference was detected among the days of the week both, for the number of fires and the burned areas, showing that, on the contrary of the popular belief, fires don’t preferentially occur during the weekends.  

scholarly journals ANÁLISE DO PERIGO DE INCÊNDIOS FLORESTAIS EM UM MUNICÍPIO DA AMAZÔNIA MATO-GROSSENSE, BRASIL

FLORESTA ◽  
2011 ◽  
Vol 41 (2) ◽  
Author(s):  
Luciene Ribeiro ◽  
Ronaldo Viana Soares ◽  
Antonio Carlos Batista ◽  
Ivan Crespo Silva
Keyword(s):  
Forest Fire ◽  
Local Community ◽  
De Novo ◽  
Fire Risk ◽  
Mitigation Measures ◽  
Fire Season ◽  
Fire Control ◽  
Forest Protection ◽  
Mato Grosso ◽  
June July

Com o objetivo de estabelecer o período de maior perigo de incêndios florestais e propor medidas mitigadoras de riscos de incêndios florestais para o município de Novo Mundo, Mato Grosso, Brasil, foi aplicado um estudo de previsão de perigo de incêndios florestais. O trabalho foi realizado utilizando-se dados de uma série climática correspondente ao período de 2000 a 2005, obtida junto ao Instituto de Meteorologia (INMET). A metodologia aplicada se deu através do cálculo diário do índice de perigo de incêndios florestais, utilizando-se a Fórmula de Monte Alegre (FMA), sendo os dados graficamente representados através do programa A.M.A.D.O. A análise estatística foi realizada com auxílio do programa Statgraphics Centurion XV, e a sazonalidade dos índices de perigo de incêndios foi expressa a partir dos modelos propostos por Box; Jenkins (1976). Foram elaboradas propostas mitigadoras de riscos de incêndios florestais. Os resultados indicaram que os meses de maio, junho, julho e agosto foram os mais perigosos, devido à escassez ou ausência total de precipitação. As medidas mitigadoras de riscos propostas neste estudo são simples e de fácil aplicação, podendo contribuir de forma eficaz e segura para previsão, prevenção e controle de incêndios florestais no município.Palavras-chave: Fogo; proteção florestal; Amazônia. AbstractFire danger analysis in a county located in Mato Grosso State, Amazon region, Brazil. The aim of this paper were to establish fire season as well as to propose proceedings in order to reduce fire risk, specifically at “Novo Mundo” county, located in “Mato Grosso” State, Brazil. A forest fire forecast methodology was applied to reach the proposed objectives. The research was carried out along 2000-2005. Fire danger was daily calculated using Monte Alegre Formula, and the results were graphically represented through the A.M.A.D.O. software. The statistics had been developed using Statgraphics Centurion XV program, and applying the methodology proposed by Box and Jenkins (1976). Furthermore, some actions to reduce fire risk had been suggested. Results points to May, June, July and August as the most critical months regarding fire risk, mainly due to the rain shortage along the period. The mitigation measures proposed in this work are easy to implement and could be carried out by county authorities and local community, leading to improvement of forest fire control in the county or even the whole region.Keywords: Forest fire; forest protection; Amazon.

BLOCKING STRATEGIES FOR A FIRE CONTROL PROBLEM

2008 ◽  
Vol 06 (03) ◽  
pp. 229-246 ◽  
Author(s):  
ALBERTO BRESSAN ◽  
MARIA BURAGO ◽  
ARTHUR FRIEND ◽  
JESSICA JOU
Keyword(s):  
Theoretical Analysis ◽  
Control Problem ◽  
Differential Inclusion ◽  
Forest Fire ◽  
Numerical Experiments ◽  
Burned Area ◽  
Isotropic Case ◽  
Fire Control ◽  
Area Burned ◽  
Preferred Direction

In this paper, we analyze different strategies, in a problem of optimal confinement of a forest fire. The area burned by the fire at time t > 0 is modeled as the reachable set for a differential inclusion ẋ ∈ F(x), starting from an initial set R0. To encircle the fire, a wall can be constructed progressively in time, at a given speed. We examine the minimum construction speed which is needed to completely encircle the fire, by means of one single wall. Different strategies are then compared, by a theoretical analysis and by numerical experiments, to determine which one minimizes the total burned area. We consider first the isotropic case, where the fire propagates uniformly in all directions, and then a more general case, where the wind blows the fire in one preferred direction.

scholarly journals MAPPING OF FOREST FIRE BURNED SEVERITY USING THE SENTINEL DATASETS

2018 ◽  
Vol XLII-5 ◽  
pp. 469-474 ◽  
Author(s):  
K. V. Suresh Babu ◽  
A. Roy ◽  
R. Aggarwal
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Forest Products ◽  
Mitigation Measures ◽  
Fire Season ◽  
Burned Area ◽  
Active Fire ◽  
Major Loss ◽  
Sentinel 2A ◽  
Normalized Burn Ratio

<p><strong>Abstract.</strong> Forest fires are frequent phenomena in Uttarakhand Himalayas especially in the months of April to May, causing major loss of valuable forest products and impact on humans through the emissions and therefore effects the climate change. The major forest fire was started on May 19, 2018 and spread in 10 districts out of 13 districts of Uttarakhand state till the fire was suppressed after May 30, 2018. The burned area mapping is essential for the forest officials to plan for mitigation measures and restoration activities after the fire season. In this study, sentinel 2A &amp;amp; 2B satellite datasets were used to map burned severity over Uttarakhand districts. Differenced Normalized Burn Ratio (dNBR) and Relativized Burn Ratio (RBR) were calculated and compared with the active fire points. Results shows that both the dNBR and RBR are in good agreement with the actual occurence of forest fires.</p>

scholarly journals COMPARAÇÃO ENTRE O PERFIL DOS INCÊNDIOS FLORESTAIS DE MONTE ALEGRE, BRASIL, E DE PINAR DEL RÍO, CUBA

FLORESTA ◽  
2013 ◽  
Vol 43 (2) ◽  
pp. 231 ◽  
Author(s):  
Marcos Pedro Ramos Rodríguez ◽  
Ronaldo Viana Soares ◽  
Antonio Carlos Batista ◽  
Alexandre França Tetto ◽  
Luis Wilfredo Martínez Becerra
Keyword(s):  
Forest Fires ◽  
Fire History ◽  
Fire Season ◽  
Burned Area ◽  
Fire Occurrence ◽  
Fire Control ◽  
Spatial And Temporal Distributions ◽  
Del Rio ◽  
Pinus Spp ◽  
Control Service

 É importante se determinar onde, quando e porque ocorrem os incêndios florestais, com vistas a estruturar os serviços de prevenção e combate dentro de limites economicamente viáveis. Esta pesquisa foi desenvolvida com o objetivo de comparar o comportamento histórico dos incêndios florestais ocorridos no período de 2002 a 2011 no Distrito Florestal de Monte Alegre, estado do Paraná, Brasil, e nas empresas florestais da Província de Pinar del Río, Cuba. Foram consideradas as distribuições temporal e espacial dos incêndios, tendo sido analisada também a eficiência do serviço de proteção. Os registros de ocorrência de incêndios foram fornecidos pela Klabin S/A e pelo Corpo de Guardabosques de Pinar del Río. Os resultados mostraram um maior número de ocorrências e uma menor área queimada em Monte Alegre. Os incêndios se concentraram nos meses de agosto a outubro (77,97% do total) em Monte Alegre e de março a maio (86,80%) em Pinar del Río. A cobertura vegetal mais afetada nas duas regiões foi “Pinus spp.” e a principal causa foi “incendiário” (71,66% do total) em Monte Alegre e “raios” (39,26%) em Pinar del Río. Conclui-se que há uma similaridade no perfil dos incêndios para os dois lugares, com exceção da época de incêndios.Palavras-chave: Estatísticas de incêndios; época de incêndios; prevenção de incêndios. AbstractComparison between the forest fires statistics in Monte Alegre, Brazil, and Pinar del Río, Cuba. It is important to determine where, when and why forest fires occur in order to structure the prevention and suppression within economically viable limits. This research was developed in order to compare the historical behavior of forest fires in the period 2002 to 2011 in the Forest District of Monte Alegre, Paraná State, Brazil, and forestry companies in the province of Pinar del Río, Cuba. Spatial and temporal distributions of fire occurrence were considered and the efficiency of fire control service was analyzed. Records of fire occurrence were provided by Klabin S/A and the Forest Department of Pinar del Río. The results revealed a higher number of occurrences and a lower burned area in Monte Alegre. The fires were concentrated from the month of August to October (77.97% of total) in Monte Alegre and March-May (86.80%) in Pinar del Río. The most affected vegetation in both regions was "Pinus spp" and the main cause of the occurrence was "incendiary" (71.66% of total) in Monte Alegre and "lightning" (39.26%) in Pinar del Río. There was a similarity in the fire profile for the two regions, except in the fire season.Keywords: Fire statistics; fire history; fire season; fire prevention.

scholarly journals CONTRIBUTION OF SATELLITE IMAGERY TO THE CHARACTERIZATION OF THE RELATIONSHIP BETWEEN CLIMATE AND PYROLOGICAL VARIABLES OF BUSH FIRES IN THE SAVANNAH ZONE (case of the BOUNKANI REGION)

2021 ◽  
Vol 5 (1) ◽  
pp. 64-72
Author(s):  
Kambire Sie ◽  
Talnan Jean Honore Coulibaly ◽  
Naga Coulibaly ◽  
Issiaka Savane ◽  
Lanciné Droh Gone ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
Fire Regime ◽  
Pearson Correlation ◽  
Climatic Variables ◽  
Fire Season ◽  
Burned Area ◽  
Fire Control ◽  
Burned Areas ◽  
Spatio Temporal ◽  
The Relationship

The present study was undertaken to characterize the bushfire regime and the climatic factors influencing its propagation in the Bounkani region. Thus, this work analyzes the spatio-temporal dynamics of fires and the relationship between climatic variables and pyrological variables. First, it exploits time series of active fires and burned areas from MODIS Active fires (MCD14ML) and MODIS Burned area (MCD60A1) data for the period from 2000 to 2017. The methodology is based on the evaluation of seasonality and fire occurrences, and on the spatio-temporal evolution of fires. The results obtained indicate that, on average, the fire season occurs between the months of November and March, generally corresponding to the dry season. Also, the number of fires and the area burned follow a decreasing trend during the 17 years of study. The months of December and January recorded the highest peaks of burned areas and fire outbreaks respectively. Finally, the analysis of the dependence between climatic variables and pyrological variables by the Pearson correlation method showed the influence of climatic parameters in the outbreak and spread of bushfires in the study area. Precipitation and relative humidity are the best predictors with a negative influence on fire activity, while the positive predictors remain temperature. These variables directly impact fire regime in general. The results of this study will assist policy makers and managers in decision making for the implementation of fire control strategies.

scholarly journals Projected increases in western US forest fire despite growing fuel constraints

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
John T. Abatzoglou ◽  
David S. Battisti ◽  
A. Park Williams ◽  
Winslow D. Hansen ◽  
Brian J. Harvey ◽  
...  
Keyword(s):  
Interannual Variability ◽  
Forest Fire ◽  
21St Century ◽  
Fold Increase ◽  
Fire Season ◽  
Burned Area ◽  
Western Us ◽  
Fire Area ◽  
Near Term ◽  
Broad Scale

AbstractEscalating burned area in western US forests punctuated by the 2020 fire season has heightened the need to explore near-term macroscale forest-fire area trajectories. As fires remove fuels for subsequent fires, feedbacks may impose constraints on the otherwise climate-driven trend of increasing forest-fire area. Here, we test how fire-fuel feedbacks moderate near-term (2021–2050) climate-driven increases in forest-fire area across the western US. Assuming constant fuels, climate–fire models project a doubling of  forest-fire area compared to 1991–2020. Fire-fuel feedbacks only modestly attenuate the projected increase in forest-fire area. Even models with strong feedbacks project increasing interannual variability in forest-fire area and more than a two-fold increase in the likelihood of years exceeding the 2020 fire season. Fuel limitations from fire-fuel feedbacks are unlikely to strongly constrain the profound climate-driven broad-scale increases in forest-fire area by the mid-21st century, highlighting the need for proactive adaptation to increased western US forest-fire impacts.

scholarly journals A spatial and temporal assessment of fire regimes on different vegetation types using MODIS burnt area products

Bothalia ◽  
2016 ◽  
Vol 46 (2) ◽  
Author(s):  
Nokuphila L.S. Buthelezi ◽  
Onisimo Mutanga ◽  
Mathieu Rouget ◽  
Mbulisi Sibanda
Keyword(s):  
Vegetation Type ◽  
Fire Regimes ◽  
Fire Frequency ◽  
Fire Season ◽  
Burned Area ◽  
Vegetation Types ◽  
Remotely Sensed Data ◽  
Burnt Area ◽  
Coastal Belt ◽  
Kwazulu Natal

Background: The role of fire in maintaining grassland diversity has been widely recognised; however, its effect in KwaZulu-Natal grasslands is still rudimentary. In that regard, understanding fire regimes of different vegetation types in KwaZulu-Natal is a critical step towards the development of effective management strategies that are specific to each vegetation type. Objective: To assess the effect of different vegetation types on fire regimes in KwaZulu-Natal using moderate resolution imaging spectroradiometer (MODIS) burnt fire products. Method: Ten years of fire data for four different vegetation types (Ngongoni Veld, KwaZuluNatal Sandstone Sourveld, Eastern Valley Bushveld and KwaZulu-Natal Coastal Belt) were extracted from the MODIS products and used as a basis to establish three parameters: annual burnt areas, fire season and fire frequency. The total burnt area within each vegetation type over the 10-year period was quantified. Results: The KZN Sandstone Sourveld had a high-burnt area of 80% in 2009 with KwaZuluNatal Coastal Belt having the least burnt area of less than 5%. Ngongoni Veld and the KwaZuluNatal Sandstone Sourveld had the highest fire frequency, while the coastal region had low fire frequencies. Results showed high fire prevalence during the late period of the dry season (which extends from June to August) across all the vegetation types. Conclusion: This study underscores the potential of remotely sensed data (MODIS burned area products) in providing a comprehensive view of fire patterns in different vegetation types

scholarly journals AEGIS: a wildfire prevention and management information system

2016 ◽  
Vol 16 (3) ◽  
pp. 643-661 ◽  
Author(s):  
Kostas Kalabokidis ◽  
Alan Ager ◽  
Mark Finney ◽  
Nikos Athanasis ◽  
Palaiologos Palaiologou ◽  
...  
Keyword(s):  
Fire Hazard ◽  
Fire Behavior ◽  
End Users ◽  
Burned Area ◽  
Fire Control ◽  
Web Based ◽  
Ignition Point ◽  
Weather Information ◽  
Management Platform ◽  
Burn Probability

Abstract. We describe a Web-GIS wildfire prevention and management platform (AEGIS) developed as an integrated and easy-to-use decision support tool to manage wildland fire hazards in Greece (http://aegis.aegean.gr). The AEGIS platform assists with early fire warning, fire planning, fire control and coordination of firefighting forces by providing online access to information that is essential for wildfire management. The system uses a number of spatial and non-spatial data sources to support key system functionalities. Land use/land cover maps were produced by combining field inventory data with high-resolution multispectral satellite images (RapidEye). These data support wildfire simulation tools that allow the users to examine potential fire behavior and hazard with the Minimum Travel Time fire spread algorithm. End-users provide a minimum number of inputs such as fire duration, ignition point and weather information to conduct a fire simulation. AEGIS offers three types of simulations, i.e., single-fire propagation, point-scale calculation of potential fire behavior, and burn probability analysis, similar to the FlamMap fire behavior modeling software. Artificial neural networks (ANNs) were utilized for wildfire ignition risk assessment based on various parameters, training methods, activation functions, pre-processing methods and network structures. The combination of ANNs and expected burned area maps are used to generate integrated output map of fire hazard prediction. The system also incorporates weather information obtained from remote automatic weather stations and weather forecast maps. The system and associated computation algorithms leverage parallel processing techniques (i.e., High Performance Computing and Cloud Computing) that ensure computational power required for real-time application. All AEGIS functionalities are accessible to authorized end-users through a web-based graphical user interface. An innovative smartphone application, AEGIS App, also provides mobile access to the web-based version of the system.

Sign in / Sign up

Export Citation Format

Share Document