Contribution of Earth Observation and meteorological datasets for the design and development of a national fire risk assessment system (NFOFRAS)

Building fires are characterized by high uncertainty, so their fire risk assessment is a very challenging task. Many indexes and parameters related to building fires are ambiguous and uncertain; as a result, a flexible and robust method is needed to process quantitative or qualitative data and update existing information when new data are available. This paper presents a novel model to deal with the uncertainty of the residential building fire risk and systematically optimize its performance effectiveness. The model includes fuzzy theory, evidence reasoning theory, and expected utility methods. Fuzzy analysis hierarchy process is applied to analyze the residential building fire risk index system and determine the weights of the risk indexes, while the evidence reasoning operator is used to synthesize them. Three buildings were selected as a case study to illustrate the proposed fire risk model. The results show that the fire risk level of three buildings corresponds to “moderate” or below which is consistent with the previous study. These results also truly reflect the actual situation of fire safety in these residential buildings. The application of this model provides a powerful mathematical framework for cooperative modeling of the fire risk assessment system and allows data to be analyzed step by step in a systematic manner. It is expected that the proposed model could provide managers and researchers with flexible and transparent tools to effectively reduce the fire risk in the system.

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Integrating geospatial information into fire risk assessment

International Journal of Wildland Fire ◽

10.1071/wf12052 ◽

2014 ◽

Vol 23 (5) ◽

pp. 606 ◽

Cited By ~ 76

Author(s):

E. Chuvieco ◽

I. Aguado ◽

S. Jurdao ◽

M. L. Pettinari ◽

M. Yebra ◽

...

Keyword(s):

Risk Assessment ◽

Moisture Content ◽

Information Technologies ◽

National Level ◽

Fire Risk ◽

Assessment System ◽

Fuel Moisture ◽

Fire Occurrence ◽

Fire Risk Assessment ◽

Fuel Moisture Content

Fire risk assessment should take into account the most relevant components associated to fire occurrence. To estimate when and where the fire will produce undesired effects, we need to model both (a) fire ignition and propagation potential and (b) fire vulnerability. Following these ideas, a comprehensive fire risk assessment system is proposed in this paper, which makes extensive use of geographic information technologies to offer a spatially explicit evaluation of fire risk conditions. The paper first describes the conceptual model, then the methods to generate the different input variables, the approaches to merge those variables into synthetic risk indices and finally the validation of the outputs. The model has been applied at a national level for the whole Spanish Iberian territory at 1-km2 spatial resolution. Fire danger included human factors, lightning probability, fuel moisture content of both dead and live fuels and propagation potential. Fire vulnerability was assessed by analysing values-at-risk and landscape resilience. Each input variable included a particular accuracy assessment, whereas the synthetic indices were validated using the most recent fire statistics available. Significant relations (P < 0.001) with fire occurrence were found for the main synthetic danger indices, particularly for those associated to fuel moisture content conditions.

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Ensuring of Fire Safety in the Buildings of Pig Breeding Farm for 6330 Breeding Sows

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2020.9172 ◽

2020 ◽

Vol 17 (7) ◽

pp. 3271-3276

Author(s):

A. P. Saveliev ◽

V. S. Shkrabak ◽

S. V. Glotov ◽

M. N. Chugunov ◽

S. A. Enaleeva

Keyword(s):

Risk Assessment ◽

Fire Safety ◽

Fire Risk ◽

Assessment System ◽

Federal Law ◽

Safety Requirements ◽

Property Owners ◽

Fire Risk Assessment ◽

The Cost ◽

Normative Value

The article is devoted to the study of the fire-fighting condition of the pig breeding farm for 6330 breeding sows, with a rational choice of measures to ensure fire safety. The conducted research has established that the object of research meets the requirements of fire safety. Calculations for fire risk assessment have been carried out by comparing the calculated values of fire risk with the normative value. Individual fire risk for employees of the considered object of protection is 5,69-10-7 year1 (0,569 · 10-6 per year), i.e., it does not exceed the normative value established by the Federal Law from the 22nd of July 2008 No. 123-FL “Technical regulations on fire safety requirements” [2]. With the introduction of the fire risk assessment system at the legislative level, property owners have the opportunity not to increase the cost of fire safety while ensuring the required level of safety of people.

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Construction of Rural Fire Risk Assessment System Based on Analytic Hierarchy Process: A Case Study of Tuyang Village in Shenzhen

ICCREM 2017 ◽

10.1061/9780784481059.037 ◽

2017 ◽

Author(s):

Hongmeng Kang ◽

Fengyong Zhai ◽

Wei Gao

Keyword(s):

Risk Assessment ◽

Analytic Hierarchy Process ◽

Fire Risk ◽

Assessment System ◽

Analytic Hierarchy ◽

Fire Risk Assessment ◽

Hierarchy Process

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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

Sustainability ◽

10.3390/su11226263 ◽

2019 ◽

Vol 11 (22) ◽

pp. 6263 ◽

Cited By ~ 2

Author(s):

Xu Jia ◽

Yong Gao ◽

Baocheng Wei ◽

Shan Wang ◽

Guodong Tang ◽

...

Keyword(s):

Risk Assessment ◽

Analytic Hierarchy Process ◽

Inner Mongolia ◽

Fire Risk ◽

Assessment System ◽

Spatial And Temporal Variability ◽

Analytic Hierarchy ◽

Environmental Controls ◽

Fire Risk Assessment ◽

Hierarchy Process

Inner Mongolia, as a fragile ecological zone in northern China, is prone to severe fires due to natural forces and intensive human disturbances. The development of a fire risk assessment system at the finer spatial scale is not sufficient in this region. In this study, we obtained the data of burned areas and fire hotspots numbers for Inner Mongolia from the Terra/Aqua Moderate-resolution Imaging Spectroradiometer data (MCD45A1 and MOD14A1/MYD14A1, 2002~2016). These fire maps were used to determine the fire spatial and temporal variability, as well as the interactions with environmental controls (climatic, vegetation, topography, and anthropic characteristics) derived in geographic information system (GIS) layers. Based on this, the fire-causing variables were selected as the dependent variables for model building, whereas data on burned area and number of fire hotspots were used for model validation. The fire risk assessment map was then generated in a 500 × 500 m grid cell using an analytic hierarchy process approach and a GIS technique. This work could be easily used for the ultimate aim of supporting fire management.

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