Optimization research on the ocean surface sampling and space interpolation method of thermal discharge monitoring
ZHANG Yong-hong1, LI Jia-guo1, ZHU Li2, SU Xiao-bei3, YIN Ya-qiu4, YANG Hong-yan1
1. Institute of Remote Application and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;
2. Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China;
3. School of Construction Engineering, Xi'an Eurasia University, Xi'an 710065, China;
4. Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100083, China
Abstract：This paper took Hongyanhe nuclear power plant as the study area to put forward a new acquisition mode Lb that presents pendulum state from near shore to far. Lb was different from traditional acquisition mode La which presents radial state. At the same time, based on the correction of the variational analysis interpolation method (DIVA), the optimal measured model of the sea surface monitoring experiment was constructed. With the two kinds of data acquisition mode, Inverse distance weighted method (IDW), Kriging method and DIVA method were used to fitting space to analyze their applicability and compare the difference of interpolation results. Validated by the retaining sampling points from the measured data, it is showed that the MEAN and MSE of all interpolation methods of Lb mode is less than that of La about 0.03. DIVA method of Lb is lower than both IDW and Kriging methods with 0.02. Based on cross validation of remote sensing detection, it is indicated that the MEAN of all interpolation methods of Lb mode is between 0.2 and 0.4, and La mode is between 0.5 and 0.8. The MEAN of DIVA method of Lb is minimum, which is 0.27. With higher precision, the pendulum type acquisition mode combining with DIVA method can effectively restrain the influence of natural temperature increase during thermal discharging monitoring.
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