Field Experimental Investigations on the Performance of an Environmentally Friendly Soap-Based Firefighting Agent on Indonesian Peat Fire

Takahide Kanyama, Naomi Fukuda,Kazuya Uezu,Takayoshi Kawahara

FIRE TECHNOLOGY(2023)

引用 0|浏览0
暂无评分
摘要
Peat fires contribute to global warming and environmental destruction. Once ignited, the fires tend to spread deep, underground and are difficult to extinguish using solely water. Mixtures of soap-based firefighting agents and water are expected to improve suppression efficiency by enhancing the permeability of water, a cooling material. Nevertheless, peat fire suppression is rarely studied. We performed peat fire extinguishing experiments in Palangkaraya, Indonesia to evaluate the efficiency of an environmentally friendly soap-based agent; and we conducted field experiments on 1.5 m × 1.5 m as well as 7 m × 7 m of peatlands. We conducted firefighting activities by applying (1) groundwater as well as (2) a solution of groundwater and 1 vol% of a soap-based firefighting agent. Surface temperatures of peat fires were approximately 160°C and 66°C after initial firefighting activities using solely water and a 1 vol% soap-based solution, respectively. The quantity of water required to extinguish the fires was 7.2 L/m 2 using solely water, and decreased to 3.6 L/m 2 using the soap-based solution. The soap-based solution exhibited a higher heat removal effect on the peat soil surface and higher permeability into peat soil than solely water, and can therefore be used to quickly extinguish peat fires. 10 months after the experiment, experimental sites sprayed with the soap-based solution demonstrated recovery of vegetation to the same degree as the sites sprayed solely with water. Thus, the soap-based firefighting agent is environmentally friendly, has promising firefighting properties, and is a reasonable tool for mitigating peat fires.
更多
查看译文
关键词
Soap-based firefighting agent,Peat fire,Water permeability,Effective heat removal,Low environmental impact
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要