International Journal of Frontiers in Engineering Technology, 2021, 3(9); doi: 10.25236/IJFET.2021.030902.
Chaoyin Zhang, Fan Yu and Mingyi Du
Beijing University of Civil Engineering and Architecture (BUCEA), Beijing, China
Forest fire safety is extremely important to forest safety. Forest is not only the place with the richest forest resources, but also the place with the most abundant species. Once a forest fires, the damage caused is immeasurable, especially in near the edge of the city. But at the same time, the traditional manual field survey method is time-consuming and labor-intensive, and also carries great uncertainty. This study is based on the representative months of 2019 in Beijing, comprehensively integrated NDVI index, meteorological factors, terrain factors and other comprehensive indicators, using reasonable mathematical models, using ArcGIS, SPSS and other statistical analysis software to explore the fire risk in Beijing The temporal and spatial distribution of the index.
Forest Fire, Risk Index, Impact Factor, Model
Chaoyin Zhang, Fan Yu and Mingyi Du. Spatio-temporal Analysis of Fire Risk in Beijing. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 9: 6-11. https://doi.org/10.25236/IJFET.2021.030902.
[1] Bai Yanhua. Research on forestry resource protection and forest fire prevention management measures [J]. Southern Agriculture, 15(20): 75-76+79(2021).
[2] Guo Qi. The importance and countermeasures of forestry resource protection and forest fire prevention management [J]. Agriculture and Technology, 41(12): 71-73(2021).
[3] Yin0 Haiwei, Kong Fanhua, Li Xiuzhen. GIS-based forest fire hazard zoning in Daxinganling [J]. Journal of Applied Ecology, 833-837 (2005(05).
[4] Zhang Juan. Research on Comfortability Evaluation and Spatial Differentiation of Livable Beijing's Natural Environment [D]. Capital Normal University, 2012.
[5] X. Bao, F. Zhang. Evaluation of NCEP-CFSR, NCEP-NCAR, ERA-Interim, and ERA-40 Reanalysis Datasets against Independent Sounding Observations over the Tibetan Plateau [J]. Journal of Climate, 26(1): 206-214 (2013)
[6] D. P. Dee, S. M. Uppala, A. J. Simmons, et al. The ERA - Interim reanalysis: configuration and performance of the data assimilation system [J]. Quarterly Journal of the Royal Meteorological Society, 137(656): 553-597(2011)
[7] C. C. Carabajal, D. J. Harding, J. P. Boy, et al. Evaluation of the Global Multi-Resolution Terrain Elevation Data 2010 (GMTED2010) using ICESat geodetic control[C]. International Symposium on Lidar and Radar Mapping: Technologies and Applications, 2011
[8] A. Djamel, H. Achour. External validation of the ASTER GDEM2, GMTED2010 and CGIAR-CSI- SRTM v4.1 free access digital elevation models (DEMs) in Tunisia and Algeria [J]. Remote Sensing, 6(5): 4600-4620(2014)
[9] Li Bin, Qin Mingzhou, Zhang Pengyan. Comparative study on NDVI of Landsat 8 remote sensing images [J]. Journal of Henan University (Natural Science Edition), 47(02): 155-161(2017).
[10] Xu Ronghui.Logistics equation and its application [J].Journal of Shanxi University of Finance and Economics (s2): 311-312(2010)
[11] Luo Kaiwei. Research on time-space mining and early warning prediction methods of global forest fire risk [D]. University of Electronic Science and Technology of China, 2020.