Thermal discharge monitoring of nuclear power plant with aerial remote sensing technology using a UAV platform: Take Hongyanhe Nuclear Power Plant,Liaoning Province,as example

doi:10.6046/gtzyyg.2018.04.27

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Abstract

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 within 0.4 °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.

Keywords unmanned aerial vehicle (UAV) platform aerial remote sensing thermal discharge wide-angle imaging distortion

X57X87

Corresponding Authors: Xiu SU E-mail: xsu@nmemc.org.cn

Issue Date: 07 December 2018

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	Xiang WANG
	Xinxin WANG
	Xiu SU
	Qinghui MENG
	Dejun ZOU
	Xiaodong YI
	Lin WANG
	Shiyong WEN
	Jianhua ZHAO

Cite this article:

Xiang WANG,Xinxin WANG,Xiu SU, et al. Thermal discharge monitoring of nuclear power plant with aerial remote sensing technology using a UAV platform: Take Hongyanhe Nuclear Power Plant,Liaoning Province,as example[J]. Remote Sensing for Land & Resources, 2018, 30(4): 182-186.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.04.27 OR https://www.gtzyyg.com/EN/Y2018/V30/I4/182

Fig.1 Path of aerial flight and synchronous measurements

Fig.2 Image with wide-angle distortion

Fig.3 Concentric correction model

Fig.4 Distortion correction with concentric model

Tab.1 Comparison of distortion correction

Fig.5 Temperature calibration for aerial data

Fig.6 Thematic map of thermal diffusion

Fig.7 Validation of UAV retrieved data

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