节点文献

基于航空红外遥感的核电温排水监测发展与展望

Development and Prospect of Monitoring Thermal Discharge from Nuclear Power Plants Based on Airborne Infrared Remote Sensing

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 张长兴; 王晟玮; 王跃明; 张恩; 姚祎; 韩贵丞; 张东; 庄晓琼; 何道刚; 薛庆; 石海岗;

【Author】 ZHANG Chang-xing;WANG Sheng-wei;WANG Yue-ming;ZHANG En;YAO Yi;HAN Gui-cheng;ZHANG Dong;ZHUANG Xiao-qiong;HE Dao-gang;XUE Qing;SHI Hai-gang;Shanghai Institute of Technical Physics, Chinese Academy of Sciences;Key Laboratory of Space Active Opto-Electronics Technology, Chinese Academy of Sciences;Airborne Survey and Remote Sensing Center of Nuclear Industry;Hebei Key Laboratory of Airborne Survey and Remote Sensing Technology;

【通讯作者】 王跃明;

【机构】 中国科学院上海技术物理研究所; 中国科学院空间主动光电技术重点实验室; 核工业航测遥感中心; 河北省航空探测与遥感技术重点实验室;

【摘要】 核电温排水带来的热污染是核能可持续发展中备受关注的环境问题。航空红外遥感技术凭借其灵敏度高、分辨率高、可定量反演等独特优势,成为重要的核电温排水监测途径。在对温排水航空红外观测的关键性能指标进行分析的基础上,本文系统回顾了国内外温排水航空红外监测的发展历程和典型应用,并阐述了辐射定标、几何校正与温度反演等核心环节。构建“空天地一体化”协同监测网络、深度融合人工智能技术,是推动我国核电温排水监测向业务化、智能化发展的必然趋势。

【Abstract】 Thermal pollution from nuclear power plant thermal discharge is a significant environmental concern in the sustainable development of nuclear energy. Airborne infrared remote sensing technology, with its unique advantages such as high sensitivity, high resolution, and quantitative inversion capabilities, has become an important monitoring method in this field. Based on the analysis of key performance indicators of airborne infrared observation of thermal discharge, this paper systematically reviews the development history and typical applications of airborne infrared monitoring of thermal discharge both domestically and internationally, and elaborates on core aspects such as radiometric calibration, geometric correction, and temperature inversion. Building an integrated space-air-ground collaborative monitoring network and deeply integrating artificial intelligence technology are inevitable trends in promoting the operationalization and intelligentization of nuclear power plant thermal discharge monitoring in China.

【基金】 国家重点研发计划项目(2023YFC3107602)
  • 【分类号】X57;X87;TM623
  • 【下载频次】6
节点文献中: 

本文链接的文献网络图示:

本文的引文网络