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Optimization of Forest Firefighting Strategy by Coupling Cellular Automata and Agents
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Jia YUAN1, Pei ZHU1, *, Xiao-lin PENG2, Quan SHAO1, Jian-gao ZHANG1
Science Technology and Engineering | 2025, 25(11) : 4483 - 4488
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Science Technology and Engineering | 2025, 25(11): 4483-4488
Papers·Agricultural Science
Optimization of Forest Firefighting Strategy by Coupling Cellular Automata and Agents
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Jia YUAN1, Pei ZHU1, *, Xiao-lin PENG2, Quan SHAO1, Jian-gao ZHANG1
Affiliations
  • 1 College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • 2 Guangzhou Baiyun International Airport Co., Ltd., Guangzhou 510470, China
Published: 2025-04-18 doi: 10.12404/j.issn.1671-1815.2404041
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Forest fires have the characteristics of strong suddenness, great destructiveness, many uncertain factors and high risk of fighting. In order to study effective strategies of firefighting, firstly, based on the theory of cellular automata, the forest fire system was analyzed, and a forest fire model considering external factors such as wind and flame retardant was established. Then, on this basis, the fire-fighting agent was modeled and correlated with the forest fire model, so as to build the fire-fighting model. Finally, the simulation algorithm based on cellular automata was designed to simulate the effect of fire-fighting strategies under the influence of different environmental factors, and the effect of different fire force allocation strategies. The results show that the method can combine fire-fighting simulation with actual decision making, and provide visualized and quantified strategy scheme for relevant departments to make fire-fighting decision, which is helpful to reduce forest fire loss and rescue cost.

forest fire  /  fire-fighting simulation  /  forest fire emergency decision  /  fire-fighting strategy
Jia YUAN, Pei ZHU, Xiao-lin PENG, Quan SHAO, Jian-gao ZHANG. Optimization of Forest Firefighting Strategy by Coupling Cellular Automata and Agents[J]. Science Technology and Engineering, 2025 , 25 (11) : 4483 -4488 . DOI: 10.12404/j.issn.1671-1815.2404041
Year 2025 volume 25 Issue 11
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Article Info
doi: 10.12404/j.issn.1671-1815.2404041
  • Receive Date:2024-05-31
  • Online Date:2025-07-09
  • Published:2025-04-18
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  • Received:2024-05-31
  • Revised:2024-09-18
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Affiliations
    1 College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
    2 Guangzhou Baiyun International Airport Co., Ltd., Guangzhou 510470, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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