The Improvement of Region Substitution Method for Thermal Discharge Monitoring by Remote Sensing Based on Time-Space Series Analysis

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• 作者：YaQiu Yin ; Li Zhu ; Tao Yu ; JiaGuo Li…
• 刊名：Journal of the Indian Society of Remote Sensing
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：44
• 期：2
• 页码：147-157
• 全文大小：1,260 KB
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Geosciences
  Remote Sensing and Photogrammetry
  
• 出版者：Springer India
• ISSN：0974-3006
• 卷排序：44

文摘

In order to improve the monitoring accuracy of nuclear power plant thermal discharge, this study takes HongYanHe nuclear power plant as the object to improve the traditional region substitution method with years of HJ-1B/IRS data. After establishment of the optimum similarity measurement by image meshing, the optimum non-discharge grids whose average temperature was taken as the reference temperature were extracted. To evaluate the performance of the new method, results of the new method and other two existing method---water intake method and average bay method were compared and assessed. D-value between reference temperature and background temperature of the new method ranges from −1 to 1 °C. The mean and standard deviation of the absolute D-value of the new method ranges from 0.1 to 0.3 °C. Results suggest that the new method not only achieved better accuracy, but also over comes weakness of the two compared method. It is promising that the new improved method can be extended and applied further in thermal discharge monitoring.KeywordsRemote sensingReference temperatureRegion substitution methodThermal discharge monitoring