Prof. Zhao Fengjun, PhD Master's Supervisor. As a visiting scholar, sheworked at the Center for Forest Disturbance Science, USDA Forest Service from Dec. 2016 to Dec. 2017. She isthe vice Chairman of the National Innovation Alliance for Lightning Fire and Border Fire Prevention and Control Technology, a fellow of the National Forest Fire Standardization Technical Committee (SAC/TC523), and a fellow of the 7th Forest and Grassland Fire Prevention Committee of the China Forestry Society. She hashosted over 20 projects, including 4 projects funded by the National Natural Science Foundation of China, and 3 projects funded by the National Key R&D Program of China. She hasreceived 8 provincial and ministerial level rewards, published over 60 academic papers and 5 books, and authorized 5 invention patents.
Prof. Zhao Fengjun has been engaged in research on forest fire prevention for 20 years, mainly including the mechanism of forest fire occurrence, forest fire behavior, physical and chemical properties of forest fuels, the influence of fuels on fire behavior, ecological regulation of fuels, biological fire prevention belts, and integrated forest fire barrier systems; the impact of fire on the environment and ecosystem, carbon emissions from fires, assessment of fire losses, post fire vegetation and ecosystem restoration; forest fire risk prediction, and the impact of climate change on forest and grassland fires.
Taking forest fuels as the starting point, coupling meteorology and terrain, Prof. Zhao Fengjun hasstudied the mechanism of forest fires at the micro environment, long time series, and regional scale, as well as the fire risk prediction and control technologies. A deflagration principle based on the accumulation of volatile gases and energy release was proposed by clarifying the mechanism of the oily components in fuels affect fire occurrence and behavior. A smoke transmission and concentration prediction model has been established, and for the first time in China, the characteristics of smoke transmission in the north and south and their different impacts on air quality have been discovered. The correlation between circulation index and forest fire occurrence was elucidated, and a new multi index fire risk trend prediction technology coupled with fuels and fire sources was established, which improved the accuracy and timeliness of prediction.
2023-2026, Forest lightning fire risk prediction, detection, warning, and decision-making system
2022-2025, Prediction and Early Warning Technology for Surface Fire Induced Superfast Deflagration in Canyon Terrain
2022-2025, Research on Forest Lightning Fire Prevention and Control
2022-2025, Forest Stand Structure and Forest Fire Fuel Hazard Level of Saihanba Artificial Forests
2021-2022, Research on Carbon Emissions of Forest Fuels in China
2021-2024, The roles and mechanisms of flammable gas accumulation and heat release in eruptive fire formation
2020-2023, Landscape Scale forest fuel Control and Construction of Forest Fire Integrated Barrier System
2017.01-2020.12, Forest fire emissions and transport
2012-2015, Emissions of volatile organic compounds (VOC) from volatile oil-rich fuels due to heat in fire environment and their accumulation under certain fire conditions
2011-2014, Post Fire Restoration of Forest Wetland Ecosystem in Cold Temperate Zone
2011-2015, Landscape Pattern, Protection and Restoration Model of Cold Temperate Wetlands
2009-2009, Changes of volatile organic compound emission in Larix gmelini forest and forest flammability under global warming
2023, Key technologies for precision forest fire early warning, Second Prize of Beijing Science and Technology Award, No.3
2021, Extreme fire occurrence mechanism, prediction, warning, and risk avoidance technologies in mountain forest fires, Second Prize of Liangxi Forestry Science and Technology Award, No.4
2020, Key technologies for monitoring and early warning of forest and grassland fire risks using drones, Second Prize of Liangxi Forestry Science and Technology Award, No.4
2019, Research and Application of Forest Fuel Combustibility and Fire Risk Monitoring and Early Warning Response Technology, Second Prize of Jilin Province Science and Technology Award, No.2
2019, Aviation fire monitoring and rapid assessment technology for forest and grassland fires, Second Prize of Jilin Province Science and Technology Award, No.5
2015, Research and application of early warning technology for the occurrence, spread, and firefighting risks of forest fires, Second Prize of Jilin Province Science and Technology Award, No.4
2011, The Mechanism of Forest Fire and Integrated Prevention and Control Technology, Second Prize of Jilin Province Science and Technology Award, No.6
2009, Research on Fire Prevention Mechanism and Construction Technology of Biological Fireproof Forest Belts, Second Prize of Jilin Province Science and Technology Award, No.6
Chen Feng, Si Liqing, Zhao, Fengjun*, et al. Volatile Oil in Pinus yunnanensis Potentially Contributes to Extreme Fire Behavior [J]. Fire 2023, 6, 113.
Wang Wenquan , Zhao Fengjun, Wang Yanxia, et al. Seasonal differences in the spatial patterns of wildfire drivers and susceptibility in the southwest mountains of China [J]. Science of the Total Environment, 2023, 869, 161782.
Chen Bing, Zhao Fengjun, Fan Taiyun, et al. Spatial distribution for forest fire prevention comprehensive obsturcting network in Xichang city [J]. 2023, 59(9):127-138
Zhao Fengjun, Liu Yongqiang. Important meteorological predictors for long-range wildfires in China [J]. Forest Ecology and Management. 2021, 499, 119638.
Zhao Fengjun, Liu Yongqiang, Shu Lifu. Change in the fire season pattern from bimodal to unimodal under climate change: The case of Daxing'anling in Northeast China [J]. Agricultural and Forest Meteorology, 2020, 291:108075.
Zhao Fengjun, Liu Yongqiang, Shu Lifu, et al. Wildfire smoke transport and air quality impacts in different regions of China [J]. Atmosphere, 2020,11, 941.
Zhao Fengjun, Liu Yongqiang. Atmospheric circulation patterns associated with wildfires in the monsoon regions of China [J]. Geophysical Research Letters. 2019, 46 (19): 4873-4882.
Zhao Fengjun, Liu Yongqiang, Goodrick Scott, et al. The contribution of duff consumption to fire emissions and air pollution of the Rough Ridge Fire [J]. International Journal of Wildland Fire, 2019, 28, 993-1004.
Liang Ying, Li Jimei, Zhao Fengjun*, et al. Surface fuel loads of Tianshan spruce forests in the central Tianshan mountains and the impact factors [J]. 2017, 53(12): 153-160.
Zhao Fengjun, Wang Mingyu, Shu Lifu, et al. Supercritical extracts of forest fuels in Great Xing'an Mountains [J]. Journal of Forestry Research, 2016, 27(5): 1143-1151.
Zhao Fengjun, Wang Qiuhua, Shu Lifu, et al. Correlations between supercitical extracts of coniferous fuel and the heat yield value and ignition point [J]. Scientia Silvae Sinicae, 2016, 52(4): 68-74.
Zhao Feng-Jun, Shu Li-Fu, Wang Ming-Yu, et al. Investigation of emissions from heated essential-oil-rich fuels at 200℃ [J]. Fire and Materials, 2013, 97:391-400.
Zhao Fengjun, Shu Lifu, Wang Mingyu, et al. Influencing factors on early vegetation restoration in burned area of Pinus pumila-larch forest [J]. Acta Ecologica Sinica, 2012, 32(2): 57-61
Zhao Feng-Jun, Shu Li-Fu, Wang Qiu-Hua. Terpenoid emissions from heated needles of Pinus sylvestris and their potential influences on forest fires [J]. Acta Ecologica Sinica, 2012, 32(1): 33-37
Zhao Fengjun, Shu Lifu, Wang Qiuhua, et al. Emissions of volatile organic compounds from heated needles and twigs of Pinus pumila [J]. Journal of Forestry Research, 2011, 22(2): 243-248.
Zhao Feng-jun, Wang Ming-yu, Shu Li-fu, et al. Progress in studies on influences of climate change on forest fire regime [J]. Advances in Climate Change Research, 2009, 5(1): 50-55.
Zhao Feng-jun, Shu Li-fu, Di Xue-ying, et al. Changes in the occurring date of forest fires in the Inner Mongolia Daxing’anling forest region under global warming [J]. Scientia Silvae Sinicae, 2009, 45(6): 166-172
Zhao Feng-jun, Shu Li-fu, Tian Xiao-rui, et al. The changes of forest fuel dryness conditions under global warming in Inner Mongolia Daxing’anling forest region [J]. Acta Ecologica Sinica, 2009, 29(4): 1914-1920
Zhao Feng-jun, Shu Li-fu, Tian Xiao-rui,et al.Change trends of forest danger in Yunnan Province in 1957-2007[J]. Chinese Journal of Ecology, 2009, 28(11): 2333-2338
