基于无人机紫外光谱数据的企业SO2浓度监测与分析

Monitoring and analysis of enterprise SO2 concentration based on UAV ultraviolet spectral data

全球环境和气候变化日益受到大气污染的影响,其造成的生态破坏和对人类居住的影响,如雾霾、酸雨、光化学烟雾等,已经成为亟待解决的问题,而其中SO2气体是最主要的污染物之一。分析和量化SO2排放量并找出污染源,对把握污染排放状况、制定监管措施和减轻大气污染具有重要应用价值。为此,本文基于差分吸收光谱法提取了河北省邯郸市武安市部分企业SO2排放浓度空间分布情况,并根据地理位置数据将反演浓度数据进行组织和快速成图,实现了污染浓度分布的可视化监测。文中分析了浓度分布的空间关系,同时考虑了风对SO2扩散的影响。实验结果表明,浓度高聚集区与企业排污位置和风向密切相关,风因素影响差分光谱法可视化对固定污染排放源位置的定位。同时,研究区SO2气体浓度分布图中浓度在1×10^16molec./cm^2以上的像元占到50%,进一步证明该气体污染造成的危害范围较大。

Global environment and climate change are increasingly affected by atmospheric pollution. Its ecological damage and impact on human habitation,such as haze,acid rain,photochemical smog,etc.,have become urgent problems to be solved,among which SO 2 gas is one of the main pollutants. Analyzing and quantifying SO 2 emissions and identifying pollution sources are of great value to grasp the status of pollution emissions,formulate regulatory measures and mitigate air pollution. In this paper,the spatial distribution of SO 2 emission concentration in some enterprises in Wu ’an,Handan City,Hebei Province was extracted based on differential absorption spectroscopy,and the visualization monitoring of pollution concentration distribution was realized by rapid mapping based on geographical location data. In this paper,the spatial relationship of concentration distribution is analyzed,and the influence of wind on SO 2 diffusion is considered. The experimental results show that the location of pollutant discharging in high concentration area is closely related to wind direction,and the location of fixed pollutant discharging source is determined by differential spectroscopy. At the same time,according to the SO 2 concentration distribution map in the study area,the pixels with a concentration higher than 1×10^16 molec./cm^2 accounted for 50%,which further proving that the hazard caused by the gas pollution is larger.