Study on Combustible Materials with the Application Study of Curve Fitting in the Pool Fire Risk Assessment

2013 ◽  
Vol 675 ◽  
pp. 358-364
Author(s):  
Fei Xie ◽  
Wen Hua Song ◽  
Zhen Chen ◽  
Ling Yue Lv
Keyword(s):  
Risk Assessment ◽  
Fire Risk ◽  
Pool Fire ◽  
Assessment Model ◽  
Strong Impact ◽  
Application Study ◽  
Object Based ◽  
Long Time ◽  
Chemical Companies ◽  
Fitting In

The pool fire accident of chemical companies is of long time- burning, destructive, and therefore it is of great significance for the combustion characteristics of pool fire. The author has studied the combustion materials for the significance of pool fire. At the same time,this paper chooses the dichloropropane storage tank area of a company in Tianjin as the research object based on the basic theory of the pool fire and combustion materials, and builds the risk assessment model of pool fire in the fire embankment based on combustion materials. Using the regression analysis, the optimal curve equation for the target, the distance of which is X from the pool center under the condition of the given radiation is fitted and calculated to be the power function y = 49310x-2.484. Then according to the determination foundation, analyze the affect scope and extent of the fire based on combustion materials. The results show that: after the fire broke out because of the leak of the tank in the fire embankment, death and completely damage of equipment and buildings will occur to the nearby production unit; the passers-by with the passing vehicles, filling vehicles and abandoned buildings on both sides of the plant roads and abandoned buildings will suffer strong impact.

scholarly journals Modernized Forest Fire Risk Assessment Model Based on the Case Study of three Portuguese Municipalities Frequently Affected by Forest Fires

2020 ◽  
Vol 3 (1) ◽  
pp. 30
Author(s):  
Luis Santos ◽  
Vasco Lopes ◽  
Cecília Baptista
Keyword(s):  
Risk Assessment ◽  
Forest Fire ◽  
Forest Fires ◽  
Fire Hazard ◽  
Fire Risk ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Risk Map ◽  
Forest Fire Hazard ◽  
Forest Fire Risk

The number of forest fires ignitions has decreased worldwide, thus observing increased levels of intensity and destruction, endangering urban areas and causing material damages and deaths (Portugal, 2017). Forest fire hazard mapping supported by the surveillance strategy targeted at very susceptible areas with high losses potential are the common tools of fire prevention. Each municipality creates its own Forest Fire Hazard Map, and so it is observed that along the administrative boundaries, discrepancies occur, even when identical types of land use are in place. The evolution of geographic information systems technology sustained by the open-source satellite imagery, along with the innovative Habitat Risk Assessment model of the InVEST software, allowed the creation of an easily applicable trans-administrative boundary fire hazard map, with frequent update capabilities and fully open source. This work considered three municipalities (Tomar, Ourém, and Ferreira do Zêzere) that annually observe various forest fire occurrences. Results enabled the creation of a homogeneous Forest Fire Risk Map, using landuse, slope, road access network, fire ignitions’ history, visualization basins, and the Normalized Difference Vegetation Index (NDVI) as variables. All variables correlate with each other using different weights, in which the different classes of land use are considered as habitats and the remaining variables as fire hazard stressors. The results produce a coherent monthly updated Risk Map, which is an alternative to many risk assessment systems used worldwide.

scholarly journals Forest fire risk assessment model using Remote sensing and GIS techniques in Tujiin nars national park, Mongolia

2021 ◽  
pp. 10-19
Author(s):  
Munkh-Erdene Altangerel ◽  
Amarsaikhan Damdinsuren ◽  
Jargaldalai Enkhtuya ◽  
Nyamjargal Erdenebaatar
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Forest Fire ◽  
National Park ◽  
Fire Risk ◽  
Assessment Model ◽  
Research Approach ◽  
Main Concern ◽  
Fire Risk Assessment ◽  
Forest Fire Risk

Forest is an important natural resource that should be carefully protected and rationally managed. In recent years, deforestation and forest land degradation have become the main concern for forest specialists as well as policy and decision-makers dealing with environment issues. It has been found that much of the existing forests have been destroyed, mainly by shifting cultivation, timber preparation, legal and illegal logging, and forest fires. To protect and conserve the deteriorating forest, it is very important to conduct forest-related risk assessment and map the outcomes in a spatial domain. The aim of this research is to conduct a forest fire risk assessment mapping of Tujiin Nars National Park using geographic information system (GIS) and remote sensing (RS) techniques. The research approach is based on an empirical model. It includes three parameters (i.e. geomorphology, vegetation cover combustibility and human activity) that are crucial for the forest fire assessment. The results of the study can be used for different decision making processes.

scholarly journals Risk assessment study of fire following an earthquake: a case study of petrochemical enterprises in China

2014 ◽  
Vol 14 (4) ◽  
pp. 891-900 ◽  
Author(s):  
J. Li ◽  
Y. Wang ◽  
H. Chen ◽  
L. Lin
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Fire Hazard ◽  
Fire Risk ◽  
Assessment Method ◽  
Assessment Model ◽  
Earthquake Risk ◽  
Loss Prediction ◽  
Petrochemical Enterprise ◽  
Earthquake Loss

Abstract. After an earthquake, the fire risk of petrochemical enterprises is higher than that of other enterprises as it involves production processes with inflammable and explosive characteristics. Using Chinese petrochemical enterprises as the research object, this paper uses a literature review and case summaries to study, amongst others, the classification of petrochemical enterprises, the proportion of daily fires, and fire loss ratio. This paper builds a fire following an earthquake risk assessment model of petrochemical enterprises based on a previous earthquake fire hazard model, and the earthquake loss prediction assessment method, calculates the expected loss of the fire following an earthquake in various counties and draws a risk map. Moreover, this research identifies high-risk areas, concentrating on the Beijing–Tianjin–Tangshan region, and Shandong, Jiangsu, and Zhejiang provinces. Differences in enterprise type produce different levels and distribution of petrochemical enterprise earthquake fire risk. Furthermore, areas at high risk of post-earthquake fires and with low levels of seismic fortification require extra attention to ensure appropriate mechanisms are in place.

scholarly journals A fire risk assessment model for residential high-rises with a single stairwell

2018 ◽  
Vol 95 ◽  
pp. 160-169 ◽  
Author(s):  
N.D. Hansen ◽  
F.B. Steffensen ◽  
M. Valkvist ◽  
G. Jomaas ◽  
R. Van Coile
Keyword(s):  
Risk Assessment ◽  
Fire Risk ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Fire Risk Assessment

scholarly journals Spatiotemporal Analysis of Active Fires in the Arctic Region during 2001–2019 and a Fire Risk Assessment Model

Fire ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 57
Author(s):  
Zhen Zhang ◽  
Leilei Wang ◽  
Naiting Xue ◽  
Zhiheng Du
Keyword(s):  
Risk Assessment ◽  
Logistic Regression ◽  
Vegetation Type ◽  
Fire Risk ◽  
Fire Frequency ◽  
Assessment Model ◽  
The Arctic ◽  
Polar Regions ◽  
Risk Assessment Model ◽  
Fire Risk Assessment

The increasing frequency of active fires worldwide has caused significant impacts on terrestrial, aquatic, and atmospheric systems. Polar regions have received little attention due to their sparse populations, but active fires in the Arctic cause carbon losses from peatlands, which affects the global climate system. Therefore, it is necessary to focus on the spatiotemporal variations in active fires in the Arctic and to assess the fire risk. We used MODIS C6 data from 2001 to 2019 and VIIRS V1 data from 2012 to 2019 to analyse the spatiotemporal characteristics of active fires and establish a fire risk assessment model based on logistic regression. The trends in active fire frequency based on MODIS C6 and VIIRS V1 data are consistent. Throughout the Arctic, the fire frequency appears to be fluctuating and overall increasing. Fire occurrence has obvious seasonality, being concentrated in summer (June–August) and highest in July, when lightning is most frequent. The frequency of active fires is related to multiple factors, such as vegetation type, NDVI, elevation, slope, air temperature, precipitation, wind speed, and distances from roads and settlements. A risk assessment model was constructed based on logistic regression and found to be accurate. The results are helpful in understanding the risk of fires in the Arctic under climate change and provide a scientific basis for fire prediction and control and for reducing fire-related carbon emissions.

scholarly journals Forest Fire Risk Assessment Model Using Remote Sensing and GIS Techniques in Northwest Algeria

2019 ◽  
Vol 15 (1) ◽  
pp. 9-21
Author(s):  
Abdelkader Benguerai ◽  
Khéloufi Benabdeli ◽  
Abdelkader Harizia
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Forest Fire ◽  
Fire Hazard ◽  
Fire Risk ◽  
Local Economy ◽  
Assessment Model ◽  
Fire Risk Assessment ◽  
Forest Fire Prevention ◽  
In Fire

Abstract Algeria loses more than 20,000 hectares of forest to fire every year. The losses are costly both in terms of life and property damage, which weighs heavily on the environment and the local economy. Geomatics can complement the conventional methods used in fire hazard prevention and management. The objective of our study is to use the geographic information system (GIS) and the Remote Sensing (RS) technology to develop the fire risk assessment map of the forest massif of Zelamta located in Southeast Mascara province (Northwest Algeria). The methodology employed was an empirical model involving three parameters that can control fire behaviour: geomorphology, vegetal cover combustibility, and human activity. The obtained results can help in the decision-making process as well as provide cartographic support for forest fire prevention and management.

scholarly journals Risk assessment study of fire following earthquake: a case study of petrochemical enterprises in China

2013 ◽  
Vol 1 (2) ◽  
pp. 1775-1798
Author(s):  
J. Li ◽  
Y. Wang ◽  
H. Chen ◽  
L. Lin
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Fire Hazard ◽  
Fire Risk ◽  
Assessment Method ◽  
Assessment Model ◽  
Earthquake Risk ◽  
Loss Prediction ◽  
Earthquake Loss ◽  
Fire Following Earthquake

Abstract. After an earthquake, the fire risk of petrochemistry enterprises is higher than that of other enterprises as it involves production processes with inflammable and explosive characteristics. Using Chinese petrochemical enterprises as the research object, this paper uses a literature review and case summaries to study, amongst others, the classification of petrochemical enterprises, the proportion of daily fires, and fire loss ratio. This paper builds a fire following earthquake risk assessment model of petrochemical enterprises based on a previous earthquake fire hazard model, and the earthquake loss prediction assessment method, calculates the expected loss of the fire following earthquake in various counties and draws a risk map. Moreover, this research identifies high-risk areas, concentrating on the Beijing-Tianjin-Tangshan region, and Shandong, Jiangsu, and Zhejiang provinces. Differences in enterprise type produce different levels and distribution of petrochemical enterprises earthquake fire risk. Furthermore, areas at high risk of post-earthquake fires and with low levels of seismic fortification require extra attention to ensure appropriate mechanisms are in place.

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