摘要
针对现有监测技术手段难以满足核电站温排水常态化监测业务需求的现状,以辽宁省红沿河核电站温排水监测为例,构建基于无人机平台的航空遥感监测系统,开展温排水热扩散信息的遥感提取研究,并分别以四次多项式拟合及同步实测数据订正实现广角成像畸变校正与水体表面温度信息的获取。独立样本同步实测数据验证表明,水体表面温度反演平均偏差在0. 4℃以内。结果分析显示,高效、便捷的无人机平台遥感监测系统可有效弥补现有监测技术手段的不足,且精度较高,有望在核电站温排水环境影响评估及业务监测中得到进一步的推广应用。
Existing monitoring approaches are not effective in dealing with routine thermal discharge monitoring requirements of nuclear power plants.This paper describes a monitoring methodology using an aerial remote sensing monitoring system based on an unmanned aerial vehicle(UAV)platform by taking the monitoring of the thermal discharge of the Hongyanhe Nuclear Power Plant,Liaoning Province as an example,and conducts a study of remote sensing extraction of thermal diffusion information of the thermal discharge.In this study,quartic polynomial fitting and real data correction are used to correct the wide-angle distortion and acquire the water body surface temperature information,respectively.Synchronized measured data validation of independent samples indicates that the system can acquire diffusion information of the thermal discharge accurately,and the retrieval error of the surface water temperature is within0.4°C.Results analysis shows that this efficient and convenient aerial remote sensing monitoring system based on a UAV platform can effectively make up inadequacies of existing monitoring technical measures and offers high precision.This system is expected to be further adopted and applied for post-assessment of the environmental impact of nuclear power plant thermal discharge and service monitoring.
作者
王祥
王新新
苏岫
孟庆辉
邹德君
伊晓东
王林
文世勇
赵建华
WANG Xiang;WANG Xinxin;SU Xiu;MENG Qinghui;ZOU Dejun;YI Xiaodong;WANG Lin;WEN Shiyong;ZHAO Jianhua(Key Laboratory for Ecological Environment in Coastal Areas ( SOA) , National Marine Environmental Monitoring Center , Dalian 116023, China;Dalian Aerospace Beidou Technology Co. , Ltd. , Dalian 116023, China;Research Institute of Surveying and Spatial Information Technology, School of Civil and Engineering, Dalian University of Technology, Dalian 116023, China)
出处
《国土资源遥感》
CSCD
北大核心
2018年第4期182-186,共5页
Remote Sensing for Land & Resources
基金
高分辨率对地观测系统重大专项“高分海域使用动态监测与污染监测研究”(编号:41-Y30B12-9001-14/16)
海洋公益性行业科研专项“国家海洋局海域无人机监视监测关键技术研究与应用示范”(编号:201405028)共同资助
关键词
无人机平台
航空遥感
温排水
广角成像畸变
unmanned aerial vehicle (UAV) platform
aerial remote sensing
thermal discharge
wide - angle imaging distortion
