Mathematical simulation of forest fire front influence on wood-based building using one-dimensional model of heat transfer

Baranovskiy, Nikolay V.; Malinin, Aleksey

doi:10.1051/e3sconf/202020003007

Cited by 4 publications

(3 citation statements)

References 27 publications

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“…A thin wall with a thickness of 0.02 m was considered as the enclosing structure. This thickness was adopted because the heating of wood during a fire does not occur by more than 0.02 m [61,68]. A low-intensity forest fire front starts to move at a distance of 20 m from the enclosing structure.…”

Section: Resultsmentioning

confidence: 99%

Parallel Implementation of the Algorithm to Compute Forest Fire Impact on Infrastructure Facilities of JSC Russian Railways

2021

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Forest fires have a negative impact on the economy in a number of regions, especially in Wildland Urban Interface (WUI) areas. An important link in the fight against fires in WUI areas is the development of information and computer systems for predicting the fire safety of infrastructural facilities of Russian Railways. In this work, a numerical study of heat transfer processes in the enclosing structure of a wooden building near the forest fire front was carried out using the technology of parallel computing. The novelty of the development is explained by the creation of its own program code, which is planned to be put into operation either in the Information System for Remote Monitoring of Forest Fires ISDM-Rosleskhoz, or in the information and computing system of JSC Russian Railways. In the Russian Federation, it is forbidden to use foreign systems in the security services of industrial facilities. The implementation of the deterministic model of heat transfer in the enclosing structure with the complexity of the algorithm O (2N2 + 2K) is presented. The program is implemented in Python 3.x using the NumPy and Concurrent libraries. Calculations were carried out on a multiprocessor cluster in the Sirius University of Science and Technology. The results of calculations and the acceleration coefficient for operating modes for 1, 2, 4, 8, 16, 32, 48 and 64 processes are presented. The developed algorithm can be applied to assess the fire safety of infrastructure facilities of Russian Railways. The main merit of the new development should be noted, which is explained by the ability to use large computational domains with a large number of computational grid nodes in space and time. The use of caching intermediate data in files made it possible to distribute a large number of computational nodes among the processors of a computing multiprocessor system. However, one should also note a drawback; namely, a decrease in the acceleration of computational operations with a large number of involved nodes of a multiprocessor computing system, which is explained by the write and read cycles in cache files.

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Section: Resultsmentioning

confidence: 99%

Parallel Implementation of the Algorithm to Compute Forest Fire Impact on Infrastructure Facilities of JSC Russian Railways

2021

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“…Түймэрт өртсөн талбай нэг жилийн дотор нөхөн сэргэх боловч биомассын хэмжээ буурч, ургамлын шинж чанарт өөрчлөлт ордог байна [2]. Хээрийн түймэр жил бүрийн хуурайшилтын үе буюу хавар, намрын улиралд их гардаг ба түймрийн тархалт нь ургамлын бүрхэвч, салхины хурд зэрэг үзүүлэлтээс хамаардаг бол түймэр гарах гол хүчин зүйлүүдэд газарзүйн байршил, гадаргын нөхцөл, уур амьсгал, ургамалжилт болон нийгмийн үзүүлэлтүүд хамаарна [3], [4], [5]. Манай оронд ой, хээрийн түймрийн тархалт, түймэрт өртсөн талбайн статистик мэдээлэл дутмагаас тухайн газарт учирсан биологийн болон эдийн засгийн хохирлын хэмжээг нарийн тооцоолох боломжгүй байна [6].…”

Section: оршилunclassified

Impact of fire on the vegetation cover of the steppe :

Munkhbat,

Myanganbuu,

Gantumur

et al. 2023

Mong. J. Geogr. Geoecol.

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Fire in the steppe is one of the most common natural disasters in the eastern region of Mongolia. In 2019, 60.8% of the total fires in the eastern region occurred in the Dornod province and one of them was the fire that occurred in the Khukh Nuur Bag of the Choibalsan soum in Dornod province in April 2019 due to sparks falling from the railway engine. This study aimed to estimate the spatial distribution and levels of the fire and the changes in the grassland vegetation caused by the fire using Sentinel-2 data. We assessed the spatial distribution of the fire using the Normalized Burn Ratio (NBR) index, levels of the fire using differenced Normalized Burn Ratio (dNBR), and the changes in vegetation cover and regeneration in the area affected by the fire using photo monitoring techniques. According to the result, the fire covered 21.85% of the total territory of Choibalsan soum. When classifying the areas affected by the levels of the fire, 61.36% (137905.23 ha) was classified as low and 38.64% (86836.87 ha) was classified as moderate-high levels. In areas affected by the fire, the proportions of Artemisia adamsii and Аrtemisia frigida, which are indicator species of pasture degradation, increased 7.2 times. In contrast, Carex duriuscula and Stipa krylovii reduced by approximately 86%. Хээрийн түймрийн ургамлан бүрхэвчид үзүүлэх нөлөөлөл (Дорнод аймгийн Чойбалсан сумын жишээн дээр) ХУРААНГУЙ: Хээрийн түймэр нь Монголын зүүн бүсийн аймгуудад түгээмэл тохиолддог байгалийн аюултай үзэгдлүүдийн нэг юм. 2019 онд зүүн бүсэд гарсан нийт түймрийн 60.8% нь Дорнод аймгийн нутагт гарсны нэг нь 2019 оны 4 сарын 29 өдөр Дорнод аймгийн Чойбалсан сумын Хөх нуур багт төмөр замаас үүдэн гарсан хээрийн түймэр юм. Бид энэхүү судалгаагаар Сентинел-2 хиймэл дагуулын мэдээ ашиглан тус хээрийн түймрийн оронзайн тархалтыг тооцоолж, шаталтын зэрэглэлээр үнэлэн, түймрээс үүдэн бэлчээрийн ургамалжилтад бий болсон өөрчлөлтийг тооцоолохыг зорьсон. Бид тус хээрийн түймрийн тархалтыг шаталтын нормчилсон харьцаа (NBR)-ны индекс ашиглан тооцоолж, шаталтын зэрэглэлийг шаталтын нормчилсон харьцааны өөрчлөлт (dNBR) индексээр үнэлж, түймэрт өртсөн талбай дахь тусгаг бүрхэцийн ургамалжилтын өөрчлөлт, нөхөн сэргэх үйл явцыг фото мониторингийн аргаар тодорхойллоо. Судалгааны дүнд тухайн түймэрт Чойбалсан сумын нийт нутаг дэвсгэрийн 21.85% нь өртсөн байна. Түймэрт өртсөн талбайг шаталтын зэрэглэлээр ангилахад 61.36% (137905.23 га) нь шаталтын зэрэглэл бага, 38.64% (86836.87 га) нь дундаас дээгүүр зэрэглэлтэй ангилалд хамаарч байна. Хээрийн түймэрт өртсөн талбайд бэлчээрийн доройтлын индикатор болох адамсын шарилж, аги зэргийн тусгаг бүрхэцэд эзлэх хувь 7.2 дахин нэмэгдсэн. Харин алаг өвс, хялгана, улалж зэрэг малд эдэмжит ургамлын эзлэх хувь ойролцоогоор 86%-иар багассан байна. Түлхүүр үгс: Сентинел-2, Хээрийн түймэр, Шаталтын зэрэглэл, Бэлчээрийн ургамалжилт

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“…Heat transfer studies based on deterministic models were carried out in [29,55,56]. The development of deterministic models is in full swing, various physical properties and characteristics of the environment are added to the model.…”

Section: Heat Transfer In Enclosure Constructionmentioning

confidence: 99%

Physical and Chemical Macroscopic Processes in Wooden Construction Materials of Buildings during WUI Fires: Recent and Advanced Developments

Baranovskiy

Malinin

2022

Processes

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Forest fires are one of the strongest natural phenomena, occurring both for natural and man-made reasons. Forest fires entail not only economic losses, but also affect the ecological, biological and demographic picture of the region of its origin and far beyond its borders. Around the world, work is underway to develop effective methods for predicting the impact of a forest fire on the environment, the speed and direction of propagation and impact on various infrastructure facilities near the wildland–urban interface (WUI). The purpose of the work is to review recent and significant research works on the physical and chemical processes in wooden construction materials during WUI fires. As a result of the analysis of literary sources, works devoted to the modeling and experimental study of various physical and chemical processes, namely, the impact of forest fires on residential and industrial facilities, heat and mass transfer in structural materials, drying processes, pyrolysis, and ignition of structural materials, are highlighted. The results of the analysis of literature sources and promising directions are presented in the Discussion section. The formulated conclusions are presented in the Conclusion section. The main conclusion is that the existing experimental and theoretical work can be integrated into the developed deterministic–probabilistic approach for predicting the impact of a forest fire on buildings.

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Mathematical simulation of forest fire front influence on wood-based building using one-dimensional model of heat transfer

Cited by 4 publications

References 27 publications

Parallel Implementation of the Algorithm to Compute Forest Fire Impact on Infrastructure Facilities of JSC Russian Railways

Parallel Implementation of the Algorithm to Compute Forest Fire Impact on Infrastructure Facilities of JSC Russian Railways

Impact of fire on the vegetation cover of the steppe :

Physical and Chemical Macroscopic Processes in Wooden Construction Materials of Buildings during WUI Fires: Recent and Advanced Developments

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