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作 者:王祥[1] 苏岫[1] 张浩[1] 王新新[1] 王林[1] 陈艳拢[1] 赵建华[1] 徐进[2] WANG Xiang;SU Xiu;ZHANG Hao;WANG Xin-xin;WANG Lin;CHEN Yan-long;ZHAO Jian-hua;XU Jin(National Marine Environmental Monitoring Center,Dalian I 16023,China;Dalian Maritime University,Dalian 116026,China)
机构地区:[1]国家海洋环境监测中心,辽宁大连116023 [2]大连海事大学,辽宁大连116026
出 处:《海洋环境科学》2020年第4期646-651,共6页Marine Environmental Science
基 金:国家重点研发计划“海上目标识别与监视系统集成与应用示范”课题(2017YFC1404900)。
摘 要: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。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-1 B 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-1 B 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.
关 键 词:温排水 遥感监测 Landsat-8 HJ-1B MODIS 红沿河核电站
分 类 号:X834[环境科学与工程—环境工程]
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