Remote sensing monitoring of thermal discharge in Daya Bay Nuclear Power Station based on HJ-1 infrared camera

Zhu, Lei; Yin, Shu; Wu, Chen; Ma, Wei; Hou, Haiqian; Xu, Jing

doi:10.1117/12.2069083

Cited by 3 publications

(6 citation statements)

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“…The data processing method is based on the technological process of temperature drainage monitoring [14]. Meanwhile, SST is calculated by using the temperature retrieval process that employs the radiative transfer equation method [19].…”

Section: A Procedures Of Thermal Discharge Monitoringmentioning

confidence: 99%

“…Fig. 2 shows the workflow of monitoring nuclear power plant thermal discharge based on remotely sensed Landsat data [14]. Firstly, to determine the TOA radiance of an image, geometric correction and radiometric calibration were performed based on the raw digital number of the image.…”

Section: A Procedures Of Thermal Discharge Monitoringmentioning

confidence: 99%

“…Assuming that there is no heat drainage, the datum temperature, which is defined as the average temperature of the water surface, is mainly influenced by the thermal anomaly caused by the thermal discharge [14]. In this paper, the average temperature correction method is used to extract the reference temperature of Tianwan area [5] .First, the average SST in the study area was calculated.…”

Section: E Datum Temperature Extracting and Thermal Discharge Classifyingmentioning

confidence: 99%

“…The temperature in the remaining areas is taken as the datum temperature. Consequently, the "threshold" method was used to extract the thermal discharge distribution zones of the nuclear power plant, which can be classified into five levels of thermal discharge [8], [14], + 1 o C, + 2 o C, + 3 o C, + 4 o C, and > 5 o C; detailed information has been listed in Table III.…”

Section: E Datum Temperature Extracting and Thermal Discharge Classifyingmentioning

confidence: 99%

“…Some researchers have used thermal infrared data derived from the Advanced Very High-Resolution Radiometer (AVHRR) with spatial resolution of 1.1 km to monitor the thermal discharge of nuclear power plants [11]. The HJ-1B thermal infrared data with spatial resolution of 300 m has also been used to monitor the thermal discharge of nuclear power plants [12], [13], [14]. In addition, several researchers have used Landsat data to monitor the thermal discharge of sea surface [5], [15].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Thermal Pollution Monitoring of Tianwan Nuclear Power Plant for the Past 20 Years Based on Landsat Remote Sensed Data

Nie

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The Tianwan nuclear power plant is located in Jiangsu province of China. It discharges warm water from its cooling system into the Yellow Sea, which is bound to have ecological consequences. Herein, the changes in sea surface temperature (SST) after the operation of the Tianwan nuclear power plant were studied using Landsat data. First, the SST near the Tianwan nuclear power plant was estimated using a single-channel algorithm; subsequently, the datum temperature was extracted. Second, the area of thermal discharge was calculated. Finally, the thermal discharge was continuously monitored and analyzed, together with the overall trend of thermal discharge, its seasonal distribution characteristics, and the relationship between temperature rise and the impact of thermal discharge on the marine environment. Furthermore, there was no evident temperature pollution before the nuclear power plant was put into operation in May 2007; however, after the operation of the nuclear power plant, the thermally polluted area clearly expanded. An expansion of 66.77 km² was observed from 2001 to 2020 for areas experiencing higher temperatures. The largest thermally polluted area is observed in spring, followed by those in summer, winter, and autumn. In 2018, the temperature rise area in winter is 44.82 km² larger than that in autumn. The rise in SST at the Tianwan nuclear power plant meets the national quality standards for marine environments, and does not pollute the surrounding environment.

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Section: A Procedures Of Thermal Discharge Monitoringmentioning

confidence: 99%

Section: A Procedures Of Thermal Discharge Monitoringmentioning

confidence: 99%

Section: E Datum Temperature Extracting and Thermal Discharge Classifyingmentioning

confidence: 99%

Section: E Datum Temperature Extracting and Thermal Discharge Classifyingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Thermal Pollution Monitoring of Tianwan Nuclear Power Plant for the Past 20 Years Based on Landsat Remote Sensed Data

Nie

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Integrated monitoring and prediction of thermal discharge from nuclear power plants using satellite, UAV, and numerical simulation

Wang,

Li,

Shi

et al. 2024

Environ Monit Assess

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Far-Field Influences Shadow the Effects of a Nuclear Power Plant’s Discharges in a Semi-Enclosed Bay

et al. 2023

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The sustainable development of society depends on the reliable supply of electricity while keeping impacts on the environment to a minimum. A 951 MWe nuclear power plant in the semi-enclosed Nanwan Bay at the southern tip of Taiwan began operating in May 1984. Part of the bay is in Kenting National Park, which is known for its coral reefs and abundant marine life; thus, thermal pollution from the cooling water discharge is a great concern. Fortunately, the bay opens south to face the Luzon Strait, where the world’s strongest internal tides are generated. Because the bay is deep enough, internal waves bring up cold deep water and reduce the surface temperature by as much as 10 °C for a few hours every day. These internal waves and topographically generated upwelling also bring nutrients to the euphotic layer from the depths, but the upwelled waters quickly leave the bay along with the cooling water. As a result, a thermal plume with a temperature of 1 °C or higher than the ambient temperature only covers 1 km. By way of comparison, El Niño—Southern Oscillation- or Pacific Decadal Oscillation-related interannual variations in temperature are as high as 5 °C. The rapid turnover of the upwelled waters also helps to prevent heat released by the power plant from accumulating and diminishes the thermal stress, thus sustaining corals and other marine life forms. Typhoons, even hundreds of kilometers away, could also induce the upwelling of cold subsurface water. Consecutive typhoons have been observed to reduce the water surface temperature by up to 10 °C for two weeks or longer. Furthermore, the currents are such that the thermal plume flows out of the bay most of the time. All of these factors make the surface waters in the bay about 0.5 °C cooler than the waters outside of the bay, despite the operation of a nearby nuclear power plant.

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Remote sensing monitoring of thermal discharge in Daya Bay Nuclear Power Station based on HJ-1 infrared camera

Cited by 3 publications

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Thermal Pollution Monitoring of Tianwan Nuclear Power Plant for the Past 20 Years Based on Landsat Remote Sensed Data

Thermal Pollution Monitoring of Tianwan Nuclear Power Plant for the Past 20 Years Based on Landsat Remote Sensed Data

Integrated monitoring and prediction of thermal discharge from nuclear power plants using satellite, UAV, and numerical simulation

Far-Field Influences Shadow the Effects of a Nuclear Power Plant’s Discharges in a Semi-Enclosed Bay

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