王祥, 苏岫, 王林, 王新新, 陈艳拢. 滨海核电厂温排水空间分布无人机遥感识别及驱动力分析[J]. 海洋环境科学, 2023, 42(4): 542-549. DOI: 10.12111/j.mes.2022-x-0337
引用本文: 王祥, 苏岫, 王林, 王新新, 陈艳拢. 滨海核电厂温排水空间分布无人机遥感识别及驱动力分析[J]. 海洋环境科学, 2023, 42(4): 542-549. DOI: 10.12111/j.mes.2022-x-0337
WANG Xiang, SU Xiu, WANG Lin, WANG Xinxin, CHEN Yanlong. Unmanned remote sensing identification and driving force analysis of spatial distribution of thermal discharge from coastal nuclear power plant[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2023, 42(4): 542-549. DOI: 10.12111/j.mes.2022-x-0337
Citation: WANG Xiang, SU Xiu, WANG Lin, WANG Xinxin, CHEN Yanlong. Unmanned remote sensing identification and driving force analysis of spatial distribution of thermal discharge from coastal nuclear power plant[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2023, 42(4): 542-549. DOI: 10.12111/j.mes.2022-x-0337

滨海核电厂温排水空间分布无人机遥感识别及驱动力分析

Unmanned remote sensing identification and driving force analysis of spatial distribution of thermal discharge from coastal nuclear power plant

  • 摘要: 随着滨海核电厂装机容量的不断增加,温排水的海洋环境影响备受关注。针对《海水水质标准》(GB 3097-1997)中温升4 ℃以上的水体,于夏季大、小潮期间共获取红沿河核电厂周边海域共8个潮情的无人机热红外航测及现场同步实测数据,开展不同潮情下温排水温升强度空间分布的遥感识别,并分析潮汐、风场等驱动因素对温排水空间分布变化的影响。结果显示:(1)无人机航测SST经二次多项式校正后,平均绝对误差(MAE)为0.4 ℃,可用于温排水识别应用;(2)相同潮情下温排水空间分布特征相似,不同潮情下,涨憩和落憩潮情温升面积高于涨急和落急潮情,且离岸更近的高温升等级面积变化幅度较小,离岸较远的低温升等级面积变化幅度较大;(3)大潮落急潮情最有利于温排水扩散,而小潮涨憩潮情扩散效果最差;(4)潮汐较风场对温排水的空间分布有更大影响。

     

    Abstract: The rapid development of the nuclear power industry in China has led to concern over the ecological impact of thermal discharges. To obtain remote sensing and field measurement data of eight tidal states around Hongyanhe Nuclear Power Plant during spring and neap tides in summer, the unmanned aerial vehicle (UAV) thermal infrared remote sensing technology was employed to measure the high temperature rising area stipulated in China’s Seawater Quality Standard (GB 3097-1997). After that, the spatial distribution of thermal discharge as well as its influencing factors were examined. The results indicated that (1) SSTs measured during aerial surveys, corrected by a quadratic polynomial with MAE = 0.4 ℃, are helpful in estimating temperatures and identifying thermal discharges. (2) There is a similar spatial distribution of thermal discharge under the same tide state. Among different tidal states, flood slack and ebb slack tidal states are associated with increased temperature-rising areas than maximum flood and maximum ebb tidal states. Compared to the area variation of high temperature rising levels near the offshore, there is a significant area variation of low temperature rising levels far offshore. (3) In spring tide, the maximum ebb state is most conducive to thermal discharge diffusion, and in neap tide, the flood slack state is particularly problematic. (4) The tidal state has a more profound effect on thermal discharge spatial distribution than the wind field.

     

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