对中国知网(CNKI)和Web of Science关于森林火灾风险评估的文献汇总、整理和归纳分析,国内外采用的森林火灾风险评估方法可概括为基于信息扩散理论的评估、基于通用风险评估模型的评估、基于林火预报的评估、基于林火蔓延模型的评估和基...对中国知网(CNKI)和Web of Science关于森林火灾风险评估的文献汇总、整理和归纳分析,国内外采用的森林火灾风险评估方法可概括为基于信息扩散理论的评估、基于通用风险评估模型的评估、基于林火预报的评估、基于林火蔓延模型的评估和基于GIS、RS的评估,对森林火灾风险性评估方法进行比较。结果表明,现有主流森林火灾风险评估方法以GIS、RS为主,其他一种或者几种方法为辅,综合评估、长期评估、联合评估以及定量精准评价,结果更具科学性和实用性,是未来研究的重点和方向。展开更多
In this paper, we establish a mathematical model of the forest fire spread process based on a partial differential equation. We describe the distribution of time field and velocity field in the whole two-dimensional s...In this paper, we establish a mathematical model of the forest fire spread process based on a partial differential equation. We describe the distribution of time field and velocity field in the whole two-dimensional space by vector field theory. And we obtain a continuous algorithm to predict the dynamic behavior of forest fire spread in a short time. We use the algorithm to interpolate the fire boundary by cubic non-uniform rational B-spline closed curve. The fire boundary curve at any time can be simulated by solving the Eikonal equation. The model is tested in theory and in practice. The results show that the model has good accuracy and stability, and it’s compatible with most of the existing models, such as the elliptic model and the cellular automata model.展开更多
文摘对中国知网(CNKI)和Web of Science关于森林火灾风险评估的文献汇总、整理和归纳分析,国内外采用的森林火灾风险评估方法可概括为基于信息扩散理论的评估、基于通用风险评估模型的评估、基于林火预报的评估、基于林火蔓延模型的评估和基于GIS、RS的评估,对森林火灾风险性评估方法进行比较。结果表明,现有主流森林火灾风险评估方法以GIS、RS为主,其他一种或者几种方法为辅,综合评估、长期评估、联合评估以及定量精准评价,结果更具科学性和实用性,是未来研究的重点和方向。
文摘In this paper, we establish a mathematical model of the forest fire spread process based on a partial differential equation. We describe the distribution of time field and velocity field in the whole two-dimensional space by vector field theory. And we obtain a continuous algorithm to predict the dynamic behavior of forest fire spread in a short time. We use the algorithm to interpolate the fire boundary by cubic non-uniform rational B-spline closed curve. The fire boundary curve at any time can be simulated by solving the Eikonal equation. The model is tested in theory and in practice. The results show that the model has good accuracy and stability, and it’s compatible with most of the existing models, such as the elliptic model and the cellular automata model.
