Factors Affecting the Behavior of Large Forest Fires in Turkey

Daşdemir, İsmet; Aydın, Fuat; Ertuğrul, Mertol

doi:10.1007/s00267-020-01389-z

Cited by 15 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown in Figure 4, the temperature and thermal radiation results obtained from the test were verified using the software IBM SPSS 25.0 (with the Python 2.2.17 extension package); statistical analysis was conducted on the detection results using the actual measured temperature and radiation during the whole experimental process. Following the previous method [45], cluster analysis and dimension reduction analysis was applied to analyze the correlation among measured temperatures, while the algorithm of the bootstrapping method was used to obtain the confidence intervals. The cluster analysis was based on the algorithm of K-means, while the dimension reduction analysis was based on the algorithm of principal component analysis.…”

Section: Discussionmentioning

confidence: 99%

Characteristics and Mechanism of Fire Spread between Full-Scale Wooden Houses from Internal Fires

et al. 2022

View full text Add to dashboard Cite

In ancient villages, the spread of uninterrupted fires caused great damage to clustered wooden houses. Thus, the spread of fire among wooden houses should be systematically studied to explore its characteristics. Statistical analysis is a feasible way to study the characteristics and underlying mechanisms of fire in full-scale wooden houses. In this study, 4 full-scale wooden buildings were built in an ethnic village in Guizhou Province, and the fire spread test was conducted by igniting a 0.63-MW power wood crib. To investigate the fire spread, the visual characteristics were observed, and the temperatures and heat radiation at special locations were monitored with thermocouples and radiation flowmeters, respectively. The effect of relative slope, heat radiation, and wind direction on fire spread characteristics was established by mathematical statistics, and the measured temperatures were used to verify the statistics’ regularity. The results showed that in wooden houses, fire spread was mainly influenced by the slope, the distance between houses, and wind direction. When the inner wall of a wooden house is protected by a fireproof coating, the thermal radiation spread and fire spread are both slower. The slope and distance had the same influence weight (0.41) on fire spread; however, since they affect the process in different ways, they should be analyzed separately for fire risk evaluation. The findings of this study provide a theoretical foundation for understanding the fire spread process in wooden buildings.

show abstract

Section: Discussionmentioning

confidence: 99%

Characteristics and Mechanism of Fire Spread between Full-Scale Wooden Houses from Internal Fires

et al. 2022

View full text Add to dashboard Cite

show abstract

“…These variables encompassed average population density, household density, ratios of elderly population, and more. Findings from the prior studies [2,5,[23][24][25] indicate that the spatial-temporal dynamics within fire regime attributes, including fire frequency, burnt area, occurrences of large fires, and incidents of both natural and human origin, constitute a critical component of fire regime characterization. These findings unveiled spatiotemporal trends in fires [26,27].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, PCA is beneficial for characterizing fires by simplifying intricate datasets, identifying key factors, uncovering dominant trends, assisting in visualization, and establishing a foundation for more efficient and accurate analyses [20,21]. In recent years, climate change has frequently increased the susceptibility of certain areas to wildfires, simultaneously escalating the severity of fire incidents [23,25,34,35]. In light of the influence of global warming and extreme climate changes, PCA has found widespread application in the analysis of fire characteristics and the examination of spatiotemporal trends in fires [19,20,35,36].…”

Section: Introductionmentioning

confidence: 99%

Charactering Human-Caused Fires Using GIS-Based Dimensionality Reduction Techniques in Keelung City, Taiwan

Ku,

Lu,

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

Fires resulting from human activities, encompassing arson, electrical problems, smoking, cooking mishaps, and industrial accidents, necessitate understanding to facilitate effective prevention. This study investigates human-caused fires in Keelung City, Taiwan, employing geographic information system (GIS)-based dimensionality reduction techniques. By analyzing eleven diverse factors, including fire incident density, population-related, building-related and economic-related features, valuable insights are gained for enhancing fire prevention. Utilizing principal component analysis (PCA), factor analysis (FA), and out-of-bag (OOB) predictor importance, our algorithm identifies key factors explaining dataset variance. Results from three approaches reveal a significant link between fire incidents and the elderly population, buildings over 40 years old, and the tertiary sector in the economy, contributing to developing effective measures for mitigating and managing fire occurrences.

show abstract

“…Forest fires have a natural effect on occurrences, can rejuvenate forests, and eliminate illnesses and other dangerous risks. On the other hand, they may negatively affect settlements and natural life (Daşdemir et al, 2021;Nuthammachot and Stratoulias, 2021). Forest fires pose a threat not only to natural vegetation and settlements but also to historical and archaeological sites (Dimitrakopoulos et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Threat of Forest Fires to Ancient Cities by GIS and Remote Sensing Methods

TÜKEL

Kalkan²

2022

Turkish Journal of Geosciences

View full text Add to dashboard Cite

Forest fires have been more common in recent years and caused extensive damage. Not only settlements and natural life but also historical places and ancient cities are at risk of forest fires. This study discussed forest fires in Turkey in the summer of 2021. Forest fire risk classifications were determined using Landsat-8 images. The Normalized Burn Ratio (NBR) and Differenced Normalized Burn Ratio (dNBR) indices were used to assess the area impacted by fire and to create fire risk classes. Furthermore, the burned and unburned areas in different zones from the Amos ancient city in the Turunç district of Marmaris were calculated using remote sensing methods. Thus, areas that should be protected from the fire were determined in future studies for fire risk areas.

show abstract

Factors Affecting the Behavior of Large Forest Fires in Turkey

Cited by 15 publications

References 17 publications

Characteristics and Mechanism of Fire Spread between Full-Scale Wooden Houses from Internal Fires

Characteristics and Mechanism of Fire Spread between Full-Scale Wooden Houses from Internal Fires

Charactering Human-Caused Fires Using GIS-Based Dimensionality Reduction Techniques in Keelung City, Taiwan

Analysis of the Threat of Forest Fires to Ancient Cities by GIS and Remote Sensing Methods

Contact Info

Product

Resources

About