Fire Risk Assessment and Warning Based on Hierarchical Density-Based Spatial Clustering Algorithm and Grey Relational Analysis

Understanding the spatial and temporal distribution patterns of fire is of ecological, social and economic importance. The purpose of this study is to examine the spatial distribution of high fire risk using machine learning algorithms and early warning weather in high-risk areas. Take the satellite...

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Vydané v:	Mathematical problems in engineering Ročník 2022; s. 1 - 8
Hlavní autori:	Huang, Junbo, Xu, Zhen, Yang, Feng, Zhang, Wenjuan, Cai, Shuyu, Luo, Jiqiang, Xie, Guobo, Li, Tianyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Hindawi 13.04.2022 John Wiley & Sons, Inc
Predmet:	Algorithms Cluster analysis Clustering Correlation analysis Data mining Density Distribution patterns Emergency warning programs Fire point Fire prevention Forest & brush fires Genetic algorithms Humidity Machine learning Mathematical problems Precipitation Remote sensing Risk assessment Satellites Seasons Spatial distribution Temporal distribution Transmission lines Weather Wind speed Zoning China Yunnan China
ISSN:	1024-123X, 1563-5147
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