基于热红外光谱响应的油库火灾温度场反演方法研究

Inversion of Oil Depot Fire Temperature Field Based on Thermal Infrared Spectral Response

热辐射是油库火灾事故的主要危害特性之一,而温度场又是其直接表现形式,因此快速有效地监测温度场信息是迅速掌握灾情动态信息的最佳途径,对提高油库火灾事故应急监测与快速响应能力、维护人民生命财产安全、保护生态环境以及大幅减少经济损失等具有重要意义。在国内外地表温度反演方法研究进展的基础上,针对油库火灾爆炸事故的突发性特征,通过分析环境温度急剧变化、遥感影像及反演参数难以获取等因素,建立了一种基于热红外光谱和地面传感器数据的油库火灾温度场信息提取模型。通过设计模拟实验,成功反演了试验场及其周边区域的地表温度情况。结果表明,该模型能够快速有效地反演油库火灾事故发生区域的温度场信息。

Thermal radiation is one of the main hazard characteristics of oil depot fire and the temperature field is the direct representation of the thermal radiation. Therefore, rapid and effective monitoring of the temperature fiehl information is the best way to quickly acquire dynamic fire information. It is of significance to the improvement of emergent oil depot fire accident monitoring and fast response ability, the maintenance of people＇s life, property and safety, the protection of ecological environment and the great reduction of economic losses etc. On the basis of the research progress in ground surface temperature inversion methods at home and abroad, an oil depot fire temperature field information extraction model based on thermal infrared spectral and ground-based sensor data is established. By designing simulation experiments, the ground surface temperature conditions in the test side and its surrounding areas are inversed successfully. The result shows that this model can be used to quickly and effectively inverse the temperature field information of the area in which oil depot fire accident happened.