不同空间分辨率遥感数据在核电站温排水监测中的应用研究

近年来，我国核电事业发展迅速，随之而来的环境问题备受关注。本研究采用同时相、不同空间分辨率的MODIS数据、HJ-1B红外相机数据及Landsat-8热红外数据计算获取了红沿河核电站附近海域的海表温度分布信息，并基于校正的海湾平均温度法得到三种星源数据的核电站温排水分布。分析显示:在红沿河核电站温排水监测中，Landsat-8监测结果精度最高，且能体现最多的温升细节信息；HJ-1B与MODIS数据因受制于较低空间分辨率所导致的“混合像元”效应，监测结果精度较低。考虑到不同温排水扩散区域水文地质条件的差异，在监测工作中应综合利用不同时间及空间分辨率的卫星数据，同时，无人机载红外载荷监测方式有望成为卫星遥感监测手段的有力补充。

Remote sensing based application research of nuclear power plant thermal plume monitoring with different spatial resolution imagery

Nuclear power industry developed rapidly in China in recent years and the environmental problems that followed have attracted much attention. In this study, three kinds of data source, MODIS thermal data, HJ-1B infrared scanner data and Landsat-8 thermal infrared data, which were imaged at simultaneous phase and different spatial resolution, were used to calculate sea surface temperature in the waters near the Hongyanhe nuclear power plant. Based on the corrected gulf average temperature method, the thermal plume distribution of nuclear power plants with three kinds of data source was obtained. Analysis shows that: Landsat-8 data achieves the highest accuracy and more details in thermal plume distribution. For restriction of the "mixed pixel" effect caused by low spatial resolution, HJ-1B and MODIS data have a bad performance. According to the differences in hydrogeological conditions between different monitoring areas, it’s wise to use satellite data with different time phase and spatial resolution comprehensively. It can be foreseen that unmanned aerial vehicles with infrared payload is expected to be a powerful complement to satellite remote sensing monitoring methods.