核电站温排水分布卫星遥感监测及验证

发布时间：2018-02-03 20:54

  本文关键词： 温排水 遥感监测 地面调查 HJ-B 大亚湾核电站　出处：《光谱学与光谱分析》2014年11期 　论文类型：期刊论文

【摘要】：以大亚湾核电站附近海域为研究区,基于HJ-1B卫星热红外遥感数据IRS4,对核电站温排水空间分布特征进行了识别与验证。首先利用时空插值后的NCEP大气廓线数据,结合近地面气象观测信息对IRS4数据进行大气订正;其次查找表数据建立IRS4宽通道辐亮度与辐射温度转换公式,完成研究区海表温度反演。利用温盐深测量仪,与卫星同步采集了84个离散点的水温,经空间插值获得地面调查海水"体温度"(bulk temperature,BT)的分布,并与海表温度(sea surface temperature,SST)反演结果进行了对比。结果表明,调查区平均BT比平均SST高0.47℃。在远离热排放口区域,SST高于BT,两者差异在1.0℃以内;在靠近热排放口区域,SST低于BT,并且越接近排放口两者之间差距越大。遥感与地面调查两种手段获得的温升分布基本一致,总温升区域面积相近。遥感手段获得的温升等级较少(小于4级),地面调查获得温升等级较多(大于5级);后者高温升等级(2级以上)区域面积较大,但对于1级温升区面积而言,两种手段差异较小。上午10时左右海表BT与SST差异较小,"肤-体"温差效应可以忽略,在IRS4业务化SST应用中,这一时段的卫星遥感可以作为核电站温排水分布监测的常规手段。
[Abstract]:Taking the sea area near Daya Bay Nuclear Power Station as the research area, based on HJ-1B satellite thermal infrared remote sensing data IRS4. The spatial distribution characteristics of temperature and drainage in nuclear power station are identified and verified. Firstly, the NCEP atmospheric profile data after spatiotemporal interpolation are used to correct the IRS4 data in combination with the near-surface meteorological observation information. Secondly, the conversion formula of radiance and radiance temperature of IRS4 wide channel is established, and the inversion of sea surface temperature in the study area is completed. The temperature of 84 discrete points is collected synchronously with the satellite by using the temperature and salt depth measuring instrument. The distribution of bulk temperature in seawater was obtained by spatial interpolation. The results are compared with the inversion results of sea surface temperature. The average BT in the investigation area was 0.47 鈩，

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