Zobrazeno 1 - 10
of 2 869
pro vyhledávání: '"Fire Spread"'
Publikováno v:
Journal of Safety Science and Resilience, Vol 5, Iss 4, Pp 413-421 (2024)
The risk of forest fires is substantial due to uneven precipitation distributions and abnormal climate change. This study employs cellular automata principles to analyze forest fire behavior, taking into account meteorological elements, combustible m
Externí odkaz:
https://doaj.org/article/eb46a2ef05744a809866a3d1a61744c8
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract After the occurrences of large-scale earthquakes, secondary damage (e.g., fire following earthquake) can result in tremendous losses of life, properties, and buildings. To reduce these disaster risks, fire following earthquake assessment met
Externí odkaz:
https://doaj.org/article/0687800c71a04d5eb1ac77e362313e4d
Publikováno v:
Frontiers in Forests and Global Change, Vol 7 (2024)
IntroductionThe behavior of forest fire is a complex phenomenon, and accurate simulation of forest fire is conducive to emergency response management after ignition. In order to further understand the characteristics of forest fire spread and the app
Externí odkaz:
https://doaj.org/article/dad001b91479417aa68040cdb4217556
Publikováno v:
Case Studies in Thermal Engineering, Vol 59, Iss , Pp 104541- (2024)
Exterior insulation finishing systems (EIFSs) can efficiently promote energy efficiency of buildings. In this study, an EIFS with high thermal efficiency is presented to improve the insulation behavior of building enclosure. Based on heat transfer an
Externí odkaz:
https://doaj.org/article/aa3b77a70a824e5c83f4e293939bbfa1
Publikováno v:
In Journal of Building Engineering 15 October 2024 95
Autor:
Tong, Xin a, Quaife, Bryan b, c, ⁎
Publikováno v:
In Environmental Modelling and Software January 2025 183
Autor:
Xuan Sun, Ning Li, Duoqi Chen, Guang Chen, Changjun Sun, Mulin Shi, Xuehong Gao, Kuo Wang, Ibrahim M. Hezam
Publikováno v:
IEEE Access, Vol 12, Pp 55389-55403 (2024)
Forest fires constitute a widespread and impactful natural disaster, annually ravaging millions of hectares of forests and posing a severe threat to human life and property. Accurate quantitative prediction of forest fire spread is essential for devi
Externí odkaz:
https://doaj.org/article/3526748e06d6460f9a5f41b131b9e4d9
Publikováno v:
Fire, Vol 7, Iss 11, p 412 (2024)
Wildfires occur frequently in various regions of the world, causing serious damage to natural and human resources. Traditional wildfire prevention and management methods are often hampered by monitoring challenges and low efficiency. Digital twin tec
Externí odkaz:
https://doaj.org/article/8b3b96001d0c4afab7ee61485bd894b1
Autor:
Huaitao Song, Yali Shi, Haowei Yao, Xiaoge Wei, Hengjie Qin, Zhen Lou, Zhenpeng Bai, Jingfen Li, Yueyang Yu
Publikováno v:
Fire, Vol 7, Iss 11, p 384 (2024)
In order to study the influence of wind direction on fire spread on building facades, a three-dimensional model of a high-rise building was built with PyroSim software. Numerical simulations were conducted with five wind directions (0°, 45°, 90°,
Externí odkaz:
https://doaj.org/article/d9434866f22847bfaa04963016766a61
Autor:
Pingbo Liu, Gui Zhang
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3969 (2024)
Forest fires can occur suddenly and have significant environmental, economic, and social consequences. The timely and accurate evaluation and prediction of their progression, particularly the spread speed in difficult-to-access areas, are essential f
Externí odkaz:
https://doaj.org/article/850ac27e6f9749f88f2eaaa403998ff9