Effect of fire spread, flame characteristic, fire intensity on particulate matter 2.5 released from surface fuel combustion of Pinus koraiensis plantation- A laboratory simulation study

Jibin Ning; Guang Yang; Xinyuan Liu; Daotong Geng; Lixuan Wang; Zhaoguo Li; Yunlin Zhang; Xueying Di; Long Sun; Hongzhou Yu

doi:10.1016/j.envint.2022.107352

Effect of fire spread, flame characteristic, fire intensity on particulate matter 2.5 released from surface fuel combustion of Pinus koraiensis plantation- A laboratory simulation study

Environ Int. 2022 Aug:166:107352. doi: 10.1016/j.envint.2022.107352. Epub 2022 Jun 16.

Authors

Affiliations

¹ Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, School of Forestry, Northeast Forestry University, Harbin, Heilongjiang 150040, China.
² Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, School of Forestry, Northeast Forestry University, Harbin, Heilongjiang 150040, China. Electronic address: yangguang@nefu.edu.cn.
³ School of Biological Science, Guizhou Education University, Guiyang 550018, China.

PMID: 35749994
DOI: 10.1016/j.envint.2022.107352

Abstract

PM_2.5 is one of major pollutants emitted from forest fires. High PM_2.5 concentration not only affects short-term human respiration health, but also poses a long-term threat to human cardiopulmonary functionality. Therefore, it is of great importance to quantitatively assess the PM_2.5 released by forest combustion in forest fire studies. In this study we examine relationships between the PM_2.5 concentration and environment and fuel characteristics laboratory experiments. In the experiments, fuel beds with controlled moisture contents and loads were first built; then 144 ignition experiments were conducted for various combinations of wind speeds using a wind tunnel device. Fire behavior characteristics and PM_2.5 concentrations released from fuel combustion were measured and analyzed. The experimental results show that the relationship between fire characteristics, fire intensity and the influencing factors of wind speed, fuel moisture content, and fuel load can be explained by the fundamental theory of forest combustion. Although PM_2.5 concentration rises with the increase of wind speed, the decrease of fuel moisture content, and the increase of fuel load, there appears to be a fuel load threshold for a given combination of wind speed and fuel moisture content that the increase of PM_2.5 concentration decelerates quickly after the load passes the threshold value. After screening fire behavior characteristics that affect PM_2.5 concentration, we found that fire line intensity and flame width are the ones with the strongest association with the concentration. With flame width as independent variable, we have built two regression models to predict PM_2.5 and fire line intensity which are treated as dependent variable; the models have high accuracy with R² = 0.92 for predicting PM_2.5 and R² = 0.97 for predicting fire line intensity. Study results can be used as reference to protect the health of forest fire fighters, and can be helpful for forest fire smoke management.

Keywords: Fire behavior; Forest combustion; PM(2.5); Pinus koraiensis; Random Forest.