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.

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 River Flows are a Reliable Index of Forest Fire Risk in the Temperate Tasmanian Wilderness World Heritage Area, Australia

2021 ◽  
Author(s):  
David MJS Bowman ◽  
Grant J Williamson
Keyword(s):  
Forest Fire ◽  
River Flow ◽  
Meteorological Data ◽  
Fire Risk ◽  
World Heritage ◽  
Fire Season ◽  
River Flows ◽  
World Heritage Area ◽  
Heritage Area ◽  
Forest Fire Risk

Fire risk can be defined as the probability that a fire will spread. Reliable monitoring of fire risk is essential for effective landscape management. Compilation of fire risk records enable identification of seasonal and inter-annual patterns and provide a baseline to evaluate the trajectories in response to climate change. Typically, fire risk is estimated from meteorological data. In regions with sparse meteorological station coverage environmental proxies provide important additional data stream for estimating past and current fire risk. Here we use a 60-year record of daily flows from two rivers (Franklin and Davey) in the remote Tasmanian Wilderness World Heritage Area (TWWHA) to characterize seasonal patterns in fire risk in temperate Eucalyptus and rainforests. We show that river flows are strongly related to landscape soil moisture estimates derived from down-scaled re-analysis of meteorological data available since 1990. To identify river flow thresholds where forests are likely to burn, we relate river flows to known forest fires that have occurred in the previously defined ecohydrological domains that surround the Franklin and Davey catchments. Our analysis shows that the fire season in the TWWHA is centered on February (70% of all years below the median threshold), with shoulders on December-January and March. Since 1954 forest fire can occur in at least one month for all but four summers in the ecohydrological domain that includes the Franklin catchment, and since 1964 fire fires could occur in at least one month in every summer in the ecohydrological domain that includes the Davey catchment. Our analysis shows that mangers can use river flows as a simple index that provide a landscape-scale forest fire risk in the TWWHA.

scholarly journals Forest fire risk mapping using analytical hierarchy process (AHP) and earth observation datasets: a case study in the mountainous terrain of Northeast India

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Ridalin Lamat ◽  
Mukesh Kumar ◽  
Arnab Kundu ◽  
Deepak Lal
Keyword(s):  
High Risk ◽  
Forest Fire ◽  
Analytical Hierarchy Process ◽  
Fire Risk ◽  
Control Measures ◽  
Fire Control ◽  
Risk Zones ◽  
Hierarchy Process ◽  
Forest Fire Risk ◽  
Very High

AbstractThis study presents a geospatial approach in conjunction with a multi-criteria decision-making (MCDM) tool for mapping forest fire risk zones in the district of Ri-Bhoi, Meghalaya, India which is very rich in biodiversity. Analytical hierarchy process (AHP)-based pair-wise comparison matrix was constructed to compare the selected parameters against each other based on their impact/influence (equal, moderate, strong, very strong, and extremely strong) on a forest fire. The final output delineated fire risk zones in the study area in four categories that include very high-risk, high-risk, moderate-risk, and low-risk zones. The delineated fire risk zones were found to be in close agreement with actual fire points obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) fire data for the study area. Results indicated that Ri-Bhoi’s 804.31 sq. km. (32.86%) the area was under ‘very high’ fire susceptibility. This was followed by 583.10 sq. km. (23.82%), 670.47 sq. km. (27.39%), and 390.12 sq. km. (15.93%) the area under high, moderate, and low fire risk categories, respectively. These results can be used effectively to plan fire control measures in advance and the methodology suggested in this study can be adopted in other areas too for delineating potential fire risk zones.

scholarly journals Das Konzept «Waldbrand 2020» des Kantons Tessin

2019 ◽  
Vol 170 (5) ◽  
pp. 242-250
Author(s):  
Aron Ghiringhelli ◽  
Gianni Boris Pezzatti ◽  
Marco Conedera
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Forest Restoration ◽  
Fire Regime ◽  
Forest Service ◽  
Management Approach ◽  
Fire Control ◽  
Burnt Area ◽  
Forest Protection ◽  
Forest Fire Management

The “forest fire 2020” program of Canton Ticino The Canton of Ticino has a long-lasting experience in facing forest fires. As a result, a tradition in forest fire documentation and analysis exists and the forest fire management approach is continuously reviewed and improved with the aim to preserve the forest protection functions and to keep the mountain areas safe for the inhabitants. The fire regime has been reduced in Ticino since the seventies of last century thanks to improvement of the firefighting organization and fire control techniques (e.g. systematic use of helicopters for the aerial fire control) and the possibility of declaring a total fire ban in the open. However the demand in terms of protection of human lives and goods of the modern society is raising and as consequence of the climate change fire risk may increase in the future. For this reason two years ago the forest service of Canton Ticino developed the “forest fire 2020” program, in collaboration with the cantonal fire brigades association and the federal research Institute WSL. The program consists of four interdependent activity modules, which are 1) prevention, 2) organizational and technical measures, 3) firefighting and control, 4) burnt area restoration. The forest service is responsible for the fire-danger rating, the fire-ban release, the mentoring of local authorities in forest management questions and for planning pre-suppression facilities (e.g. water points for helicopters). It is also responsible for defining the mission rules for aerial firefighting, for collecting the data for the statistics, and for planning the post-fire forest restoration measures. The fire brigades are in charge of the firefighting tasks, by first intervening with the urban fire brigades and in case of need requiring the support of specialized forest-fire brigades. During the firefighting actions the forest service takes a consulting role. The first two years of implementation confirmed the suitability of the “forest fire 2020” program. Potential improvements have been however detected and are under implementation, such as the completion of the pre-suppression infrastructures, a better coordination between aerial and terrestrial firefighting and the strengthening of the specialized forest-fire brigades.

scholarly journals Modelagem espacial de risco de incêndio florestal para o município de Inhambupe, Bahia, Brasil

2016 ◽  
Vol 36 (85) ◽  
pp. 41 ◽  
Author(s):  
Larissa Alves Secundo White ◽  
Benjamin Leonardo Alves White ◽  
Genésio Tâmara Ribeiro
Keyword(s):  
Forest Fire ◽  
Fire Risk ◽  
Risk Map ◽  
Map Algebra ◽  
Analytic Hierarchy ◽  
Land Occupation ◽  
Forest Protection ◽  
Burned Areas ◽  
Hierarchy Process ◽  
Forest Fire Risk

A modelagem do risco espacial de incêndios florestais tem o objetivo de determinar as regiões mais susceptíveis ao fogo, baseando-se em variáveis que representam a facilidade de ignição e de propagação do fogo. Nesse contexto, utilizando-se das variáveis: sistema viário, densidade demográfica, uso e ocupação do solo, malha hidrográfica, inclinação e orientação das encostas, foram elaborados mapas de riscos preliminares, que, posteriormente à ponderações das mesmas pelo método AHP, foram integradas por meio da calculadora Raster em um mapa final de risco de incêndio florestal para o município de Inhambupe, Bahia, Brasil. Com base no modelo utilizado, 75,46% da área de estudo apresenta-se classificada como de maior risco, representado pelas classes “alto”, “muito alto” e “extremo”. Ao comparar o mapa final do risco de incêndio florestal para a área de estudo com o histórico de áreas queimadas, verificou-se que 94,83% dos registros de incêndios florestais estão alocados nas áreas de maior risco.Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, BrazilSpatial modeling of forest fire risk has the aim to determine areas most susceptible to fire based on variables that represent facility of ignition and propagation. This work developed a forest fire risk map for the Municipality of Inhambupe, Bahia State, Brazil, by elaborating thematic maps of the following variables: road system, population density, land occupation and use, watershed network, slope and aspect. These were evaluated by the analytic hierarchy process and integrated with map algebra. Based on the developed model, 75.46% of the studied area was classified as “high”, “very high” and “extreme high” fire risk. When comparing the forest fire risk map with historical data of burned areas, 95% of the fires were in these areas.Index terms: Forest protection; Fire susceptibility; Risk map

Dissemination of seasonal fire weather information for stakeholders and researchers

2020 ◽  
Author(s):  
Folmer Krikken ◽  
Jonathan Eden ◽  
Igor Drobyshev
Keyword(s):  
Forest Fire ◽  
Large Scale ◽  
Global Analysis ◽  
Fire Risk ◽  
Ecosystem Dynamics ◽  
Fire Season ◽  
Spatial And Temporal Variability ◽  
Fire Weather ◽  
Weather Risk ◽  
Forest Fire Risk

<p>Fire is the primary driving factor of the ecosystem dynamics of many forests, directly affecting the global carbon balance and atmospheric concentrations of the trace gases including carbon dioxide. Recent anthropogenic influence has led to an increase in frequency and impact of wild fires. Hence, it is of vital importance to predict forest fire risk at monthly and seasonal time scales in order to mitigate its impacts, including fire driven dynamics of ecosystem and socio-economic services.</p><p>Resilience of the ocean–atmosphere system provides potential for early detection of upcoming fire season intensity. Here, we report on the development of a probabilistic empirical prediction system for forest fire risk on monthly to seasonal timescales across the Northern Hemisphere, using local and large scale climate information as predictors for future fire weather. The fire risk is quantified by the monthly drought code (MDC), which is an established indicator for seasonal fire activity.</p><p>The forecasts are disseminated through the KNMI climate explorer, using an interactive online Python application, in order to convey forecast information in a simple and digestible manner. A forecasting page allows for end-users to assess local seasonal fire weather risk, associated forecast skill, and the relation between historical MDC and observed fires. The forecasts are updated monthly throughout the fire season. A research page allows for local and global analysis of the sources of predictability, and characterization of the patterns of spatial and temporal variability of fire weather risk.</p>

scholarly journals Strategi Pengendalian Kebakaran Hutan dan Lahan Di IUPHHK-HT PT Finnantara Intiga Provinsi Kalimantan Barat

2019 ◽  
Vol 10 (1) ◽  
pp. 7-14
Author(s):  
Bambang Hero Saharjo ◽  
Robi Deslia Waldi
Keyword(s):  
Forest Fire ◽  
Implementation Strategy ◽  
National Level ◽  
Fire Prevention ◽  
Environment Pollution ◽  
Time Schedule ◽  
Fire Control ◽  
Forest Protection ◽  
Unit Level ◽  
Land Cultivation

The forest fire control is done through prevention, suppression, and following fire activities at national level and forest unit level. This research was divided in to informan and responden subjects. The implementation strategy of forest fire control in PT Finnantara Intiga adapted from PP Numb. 4 year 2001 about controling damaged forest and or environment pollution that related to forest fire and or land according the provision of article 20 (1) PP Numb. 45 year 2004 about forest protection that declare to prevent and limiting the destruction of forest caused by forest fire, and need to do controling of forest and land fire. The majority of people work as a farmer that have time schedule of land cultivation. The event of forest fire and land in the its highest level that occurs in august to september because in that time most of farmer doing fields burning with average of total extent about 25.8 hectares and the amount of hotspots were about 144 point in the period of 2010 to 2015.Keywords: Stretgy, fire prevention control, hotspot

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 Forest Fire Probability Mapping in Eastern Serbia: Logistic Regression versus Random Forest Method

Forests ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 5
Author(s):  
Slobodan Milanović ◽  
Nenad Marković ◽  
Dragan Pamučar ◽  
Ljubomir Gigović ◽  
Pavle Kostić ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Forest Fire ◽  
Forest Fires ◽  
Fire Suppression ◽  
Standard Procedure ◽  
Predictive Ability ◽  
Fire Risk ◽  
Fire Season ◽  
Fire Occurrence ◽  
Probability Mapping

Forest fire risk has increased globally during the previous decades. The Mediterranean region is traditionally the most at risk in Europe, but continental countries like Serbia have experienced significant economic and ecological losses due to forest fires. To prevent damage to forests and infrastructure, alongside other societal losses, it is necessary to create an effective protection system against fire, which minimizes the harmful effects. Forest fire probability mapping, as one of the basic tools in risk management, allows the allocation of resources for fire suppression, within a fire season, from zones with a lower risk to those under higher threat. Logistic regression (LR) has been used as a standard procedure in forest fire probability mapping, but in the last decade, machine learning methods such as fandom forest (RF) have become more frequent. The main goals in this study were to (i) determine the main explanatory variables for forest fire occurrence for both models, LR and RF, and (ii) map the probability of forest fire occurrence in Eastern Serbia based on LR and RF. The most important variable was drought code, followed by different anthropogenic features depending on the type of the model. The RF models demonstrated better overall predictive ability than LR models. The map produced may increase firefighting efficiency due to the early detection of forest fire and enable resources to be allocated in the eastern part of Serbia, which covers more than one-third of the country’s area.

scholarly journals River Flows Are a Reliable Index of Forest Fire Risk in the Temperate Tasmanian Wilderness World Heritage Area, Australia

Fire ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 22
Author(s):  
David M. J. S. Bowman ◽  
Grant J. Williamson
Keyword(s):  
Forest Fire ◽  
River Flow ◽  
Meteorological Data ◽  
Fire Risk ◽  
World Heritage ◽  
Fire Season ◽  
River Flows ◽  
World Heritage Area ◽  
Heritage Area ◽  
Forest Fire Risk

Fire risk can be defined as the probability that a fire will spread across a landscape, that therefore determines the likely area burnt by a wildfire. Reliable monitoring of fire risk is essential for effective landscape management. Compilation of fire risk records enable identification of seasonal and inter-annual patterns and provide a baseline to evaluate the trajectories in response to climate change. Typically, fire risk is estimated from meteorological data. In regions with sparse meteorological station coverage environmental proxies provide important additional data source for estimating past and current fire risk. Here, we use a 60-year record of daily flows (ML day−1 past a fixed-point river gauge) from two rivers (Franklin and Davey) in the remote Tasmanian Wilderness World Heritage Area (TWWHA) to characterize seasonal patterns in fire risk in temperate Eucalyptus forests and rainforests. We show that river flows are strongly related to landscape soil moisture estimates derived from down-scaled re-analysis of meteorological data available since 1990. To identify river flow thresholds where forests are likely to burn, we relate river flows to known forest fires that have occurred in the previously defined ecohydrological domains that surround the Franklin and Davey catchments. Our analysis shows that the fire season in the TWWHA is centered on February (70% of all years below the median river flow threshold), with shoulders on December-January and March. Since 1954, forest fire can occur in at least one month for all but four summers in the ecohydrological domain that includes the Franklin catchment, and since 1964 fire could occur in at least one month in every summer in the ecohydrological domain that includes the Davey catchment. Our analysis shows that managers can use river flows as a simple index that indicates landscape-scale forest fire risk in the TWWHA.

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