基于HJ-1B星热红外数据的大亚湾海温反演模型及其应用  

Sea water temperature retrieval model for Daya Bay based on HJ-1B thermal infrared remote sensing data and its application

作　　者：熊攀[1] 朱利[2] 顾行发[1] 赵利民[1] 余涛[1] 孟庆岩[1] 李家国[1] 张峰[2] 

机构地区：[1]中国科学院遥感与数字地球研究所,北京100101 [2]环境保护部卫星环境应用中心,北京100094

出　　处：《国土资源遥感》2014年第1期132-138,共7页Remote Sensing for Land & Resources

基　　金：民用航天"十二五"预研项目(编号:60128303;Y1K0030044);国家自然科学基金项目(编号:40971227);中国科学院对外重点合作项目(编号:GJHZ1003)共同资助

摘　　要：为进一步推进HJ-1B星IRS4热红外数据在大亚湾核电站温排水动态监测中的应用,基于常用的海表温度反演算法,利用数值微分手段,从理论上对影响温度反演误差的大气总水汽含量、卫星观测角度以及地物比辐射率等参数进行敏感性分析;以单窗算法为温度反演模型的基础,利用2011年12月18日和22日大亚湾核电站地区的HJ-1B星IRS4数据以及与卫星过境时段对应的CE312实测红外辐射温度和气象观测数据,通过最小二乘线性回归方法,对反演模型参数进行修正,得出单窗算法修正值a=1 163.4,b=-4.013 4。最后,基于反演模型,利用2010和2011年HJ-1B星IRS4单通道数据开展了大亚湾核电站温排水研究。High spatial and temporal resolution of HJ - 1B IRS4 single channel infrared data can meet the need of the sea water temperature in Daya Bay where strong variability of the temperature is obvious in time and space. Based on the common HJ - 1B IRS4 sea surface temperature retrieval algorithms and numerical differential methods, the authors carried out sensitivity analysis of the influence of the temperature retrieval error, which included the total water content in the atmosphere, the observation angle and the emissivity. Combined with the actual situation of Daya Bay nuclear power plants and based on the single window algorithm for temperature retrieval model, the authors employed the H] - 1B IRS4 thermal infrared data of December 18, 2011 and December 22, 2011 around Daya Bay, the corresponding CE312 real measured infrared radiation temperature data and meteorological observation data and, through the least square method and the linear regression method, revised parameters a and b of the retrieval model, with the corresponding amendatory value being 1 163.4 and -4. 013 4 respectively. Two years＇ HJ -1B IRS4 single channel infrared data of 2010 and 2011 were utilized to monitor thermal discharge in Daya Bay nuclear power plants. The results provide a basis for further dynamic monitoring application of thermal discharge in Daya Bay nuclear power plants by using HJ - 1B IRS4 thermal infrared data.

关 键 词：HJ-1B IRS4 误差分析 单窗算法 海表温度反演模型 大亚湾核电站 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]