Risk Assessment and Regionalization of Fire Disaster Based on Analytic Hierarchy Process and MODIS Data: A Case Study of Inner Mongolia, China

The object of the study is the fire risk of the local area. The problem to be solved is to take into account most of the significant parameters in the territorial placement of fire-rescue units of different functional capacities. As part of the solution to this problem, a technique for assessing the fire risk of a large-scale local area has been developed. The methodology is focused on local territories of a large area with a low population density. A special feature of the proposed method is the differentiated fire risk assessment of each point of the surface plane. For such an assessment, the parameters that are decisive from the point of view of impact on the fire hazard are analyzed and structured. The specified factors include the spatial distribution of population density and buildings, the transport and communication network, the spatial distribution of the density and type of vegetation, and statistical data on landscape fires. The use of existing geo-informational resources in real time is foreseen. A new approach of ranking the fire risk of the elementary plane of the territory in accordance with the necessary number of resources of rescue units to ensure the appropriate level of safety is proposed. Neural network data processing methods were used to compare local area parameters with fire risk ranks. A neural network capable of comparing the fire risk of the territory with its parameters was obtained. The functionality of the developed methodology was tested and the fire risk levels of an arbitrary area were graded with an average degree of correlation of 0.97. The proposed method allows for assessment and correction of the state of provision of local territories with civil protection resources. The developed methodology is especially relevant when creating new fire and rescue units of territorial communities.

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“…3. Duration of landscape fires in the local area in 2022 according to Global Fire Atlas [35] Fig. 4.…”

Section: Theoretical Substantiation Of the Methodology For Assessing ...mentioning

confidence: 99%

“…Nevertheless, such methods are quite abstract. The method of spatial calibration of territories according to the stages of FR [35] has been widely used. At the same time, this method is well suited only to LT of the same fire load, for example, forests, fields, etc.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Level of fire danger of the local territory

Kustov

Fedoryaka

Кононович

et al. 2023

EEJET

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“…Xu [ 21 ] carried out fire risk identification and AHP assessment in historic buildings. More recently, the AHP was also introduced to the natural fire disaster in Inner Mongolia [ 22 ]. Nevertheless, the limitation of the AHP is that it is only usable for a three-layer-system, i.e., the target layer, the criteria layer and the index layer, making it significantly simpler than FTA.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Investigation on the Fire Hazards and Environmental Risks in a Commercial Complex Based on Fault Tree Analysis and the Analytic Hierarchy Process

Wang

et al. 2020

IJERPH

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This paper focuses on the fire risk assessment for commercial complex, as the variety of fire accidental triggers inside could be a big threat to the public fire safety, leading to catastrophic loss in human lives and properties. Both the qualitative and quantitative analysis were imposed on a typical large commercial complex to recognize the potential fire-causative factors in this paper. Applying the fault tree analysis, the basic events leading to fire are acquired, and they are then further reclassified based on the analytic hierarchy process. Taking the damage of the accident as the target layer and the fire-causative factors, the equipment operation factors and firefighting factors as the criterion layer, the assessment index is well established. The risk of each factor is quantitatively evaluated, and the effect of each factor on the target layer is analyzed. The result of the fault tree analysis and analytic hierarchy process shows good consistency, in which human behavior is the main factor leading to the fire occurrence, followed by the combustible material, the rescue speed and the staff assignment factors. The results are beneficial for general decisions and measures in public fire safety management.

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“…O produto MOD14A1/TERRA apresenta resolução espacial de 1 km e está relacionado a identificação de anomalias termais, ou seja, o algoritmo mapeia a ocorrência do fogo e o cálculo da energia emitida pela queimada, além da composição de oito dias de sua ocorrência, introduzindo dados diários sobre cada um dos oito respectivos dias (Jia et al, 2019;Stefanidou et al, 2019). Tal produto MOD14A1/TERRA, como todos os outros produtos MODIS Thermal Anomalies/Fire, tem sua origem sobretudo das radiâncias MODIS de 4µm e 11µm.…”

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Caracterização de Cicatrizes de Queimadas nas Mesorregiões do Sertão e São Francisco Pernambucano a partir de dados do Sensor MODIS

Gouveia¹,

Nascimento²,

Júnior³

et al. 2021

Rev. Bras. Geog. Fis.

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As mesorregiões do Sertão e São Francisco Pernambucano apresentam clima semiárido, que podem afetar a produção agrícola, em função do clima quente e seco, com temperaturas elevadas e regime pluviométrico irregular. O bioma predominante da região é a Caatinga, que vem sofrendo ao longo dos anos com várias ações antrópicas, incluindo além do desmatamento eventos de queimadas. O objetivo deste artigo foi mapear, caracterizar e quantificar a incidência de focos de calor nas mesorregiões acima relacionadas, bem como a capacidade de recuperação e/ou regeneração natural da vegetação por meio do sensoriamento remoto e técnicas de mineração de dados. Imagens do sensor Moderate Resolution Imaging Spectroradiometer (MODIS) a bordo da plataforma TERRA foram utilizadas para analisar o estado da vegetação nos períodos pré, durante e pós-queima. Para avaliar as condições necessárias para que ocorra a regeneração natural da superfície vegetal foi utilizado o software de mineração de dados Waikato Environment for Knowledge Analysis (WEKA) a partir do cruzamento dos dados do Índice de Vegetação da Diferença Normalizada (NDVI) e precipitação local. Os resultados demonstram um aumento na ocorrência dos focos no período analisado. Existe uma correlação de 91,76% entre o NDVI durante e 48 dias após o evento da queima. Além disso, os parâmetros NDVI 30 e 48 dias após a queima apresentaram um coeficiente de correlação de 83,96%. Portanto, as técnicas de sensoriamento remoto e mineração de dados permitiram avaliar as relações existentes entre o NDVI e a precipitação local para que ocorra a regeneração vegetal. Characterization of Burning Scars in the Sertão and São Francisco Pernambucano Mesoregions from MODIS Sensor dataA B S T R A C T The Sertão and São Francisco Pernambucano mesoregions have a semi-arid climate, which can affect agricultural production, due to the hot and dry climate, with high temperatures and irregular rainfall. The predominant biome of the region is the Caatinga, which has been suffering over the years with several anthropic actions, including in addition to deforestation, burning events. The purpose of this article was to map, characterize and quantify the incidence of hot spots in the mesoregions listed above, as well as the capacity for recovery and / or natural regeneration of vegetation through remote sensing and data mining techniques. Images from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on the TERRA platform were used to analyze the state of vegetation in the pre, during and post-firing periods. To assess the conditions necessary for the natural regeneration of the plant surface to occur, the data mining software Waikato Environment for Knowledge Analysis (WEKA) was used, by crossing the data from the Normalized Ddifference Vegetation Index (NDVI) and precipitation. The results demostrate an increase in the occurrence of outbreaks in the analyzed period. There is a 91.76% correlation between NDVI during and 48 days after burning event. In addition, the NDVI parameters 30 and 48 days after burning presented a correlation coefficient of 83.96%. Therefore, the techniques of remote sensing and data mining allowed to evaluate the existing relationships between NDVI and local precipitation so that plant regeneration to occurs.Keywords: remote sensing, vegetation indexes, hot spots, data mining.

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Risk Assessment and Regionalization of Fire Disaster Based on Analytic Hierarchy Process and MODIS Data: A Case Study of Inner Mongolia, China

Cited by 5 publications

References 43 publications

Level of fire danger of the local territory

Level of fire danger of the local territory

A Comprehensive Investigation on the Fire Hazards and Environmental Risks in a Commercial Complex Based on Fault Tree Analysis and the Analytic Hierarchy Process

Caracterização de Cicatrizes de Queimadas nas Mesorregiões do Sertão e São Francisco Pernambucano a partir de dados do Sensor MODIS

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