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Comparison of different spatial resolution thermal infrared data in monitoring thermal plume from the Hongyanhe nuclear power plant

机译:红岩河核电站热羽监测中不同空间分辨率热红外数据的比较

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Nuclear power industry had a great development in China in recent years and the environmental problems, such as thermal plume, has caused wide public concern. Taking the Hongyanhe nuclear power plant as example, this paper computed and achieved the sea surface temperature distribution with MODIS, HJ-1B and Landsat-8 thermal infrared data separately. These data were imaged in same time phase but different spatial resolution. Based on verified method of average gulf temperature, thermal plume distribution in three kinds of data was achieved. The comparison showed that the Landsat-8 data with higher monitoring precision and better details in thermal plume was more suitable for small area monitoring than the other two, which were affected by mixed pixels caused by low spatial resolution. Considering the different hydrogeological conditions of various nuclear power plants, it's smart to monitoring thermal plume with different temporal and spatial resolution satellite data. It can be foreseen that unmanned plane with infrared scanner and remote sensing technique will be complementary for each other in thermal plume monitoring.
机译:近年来,中国核电工业有了长足发展,热羽等环境问题引起了公众的广泛关注。以红沿河核电站为例,分别利用MODIS,HJ-1B和Landsat-8热红外数据分别计算并实现了海面温度分布。这些数据是在相同的时间阶段但空间分辨率不同的情况下成像的。基于平均海湾温度的验证方法,获得了三种数据的热羽分布。比较表明,Landsat-8数据具有更高的监测精度和更好的热羽流细节,因此比其他两个更适合于小面积监测,这两个数据受空间分辨率低引起的混合像素的影响。考虑到各种核电厂的水文地质条件不同,使用不同的时空分辨率卫星数据监视热羽是明智的。可以预见,带有红外扫描仪和遥感技术的无人驾驶飞机将在热羽监测中相互补充。

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