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Comparación y estudio de reinicialización de los sistemas de simulación de propagación de incendios forestales FARSITE y Cell2Fire

  • role： First author第一作者
  • Affiliation：

    School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210000, China

  • Email：1022173213@njupt.edu.cn
  • Introduction：辛淇， 研究方向为林火蔓延模拟、时间序列异常检测。E-mail： 1022173213@njupt.edu.cn
XIN Qi1,  
  • Affiliation：

    School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210000, China

YUAN Yuan2,  
  • Affiliation：

    School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210000, China

ZHOU Junhan1,  
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

LI Ziyang3,  
  • role： Corresponding author通信作者
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

  • Email：zhouzg@aircas.ac.cn
  • Introduction：周增光， 研究方向为时序数据分析。E-mail： zhouzg@aircas.ac.cn
ZHOU Zengguang3*

resumen

La simulación de la propagación de incendios forestales basada en datos de teledetección se realiza obteniendo datos sobre combustibles, topografía y puntos de incendio mediante tecnología de teledetección, combinados con modelos de simulación de la propagación del incendio para predecir la dinámica de expansión de los incendios forestales. Esto es de gran importancia para la prevención y el combate de incendios forestales. En este artículo se utilizan dos simuladores de propagación de incendios forestales, Cell2Fire y FARSITE, para simular dos incendios forestales en la prefectura de Liangshan en la provincia de Sichuan y en la región autónoma de Mongolia Interior en Nalijin, comparando la precisión de ambos simuladores. Además, para abordar el problema de baja precisión en simulaciones continuas, se propone un método de reinicialización basado en el índice espectral BAI y el crecimiento regional de las zonas quemadas, que puede extraer automáticamente las áreas quemadas y reinicializar los simuladores de propagación del incendio con datos de puntos de incendios satelitales, mejorando así la precisión de la simulación continua durante varios días. Los resultados experimentales muestran: (1) los resultados de simulación de FARSITE y Cell2Fire son bastante similares, con una precisión ligeramente superior en FARSITE en la mayoría de los casos; (2) en comparación con los métodos de simulación continua y reinicialización con VIIRS, el método propuesto de reinicialización de áreas quemadas puede mejorar el problema de acumulación de errores a largo plazo y el problema de simulación insuficiente debido a la falta de puntos de incendio iniciales. Los resultados de simulación de Cell2Fire y FARSITE con el método de reinicialización de áreas quemadas tienen la mayor precisión, lo que indica que seleccionar el método de simulación adecuado puede ser más importante que elegir el simulador para mejorar la precisión de los resultados.

palabra clave

FARSITE;Cell2Fire;VIIRS;incendios forestales;simulación de incendios;incendio forestal de Liangshan 7·5;incendio forestal de Nalijin 17·5

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