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Study on the distribution characteristics of warm drainage from a nuclear power plant based on satellite remote sensing
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XUE Qing1, 2, JIANG Xue1, ZHANG Xinyi1, 2, ZHANG En1, 2, DU Jilong1, 2
World Nuclear Geoscience | 2025, 42(1) : 166 - 177
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World Nuclear Geoscience | 2025, 42(1): 166-177
RESEARCH ARTICALS
Study on the distribution characteristics of warm drainage from a nuclear power plant based on satellite remote sensing
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XUE Qing1, 2, JIANG Xue1, ZHANG Xinyi1, 2, ZHANG En1, 2, DU Jilong1, 2
Affiliations
  • 1 Airborne Survey and Remote Sensing Center of Nuclear Industry,Shijiazhuang 050002,China
  • 2 Key Laboratory of Airborne Survey and Remote Sensing Technology of Hebei Province,Shijiazhuang 050002,China
Published: 2025-02-08 doi: 10.3969/j.issn.1672-0636.2025.01.014
Outline
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With the rapid development of China’s nuclear power industry,the impact of thermal discharge on the surrounding marine environment is increasingly attracting attention. Objective and accurate background temperatures are crucial for accurately assessing the thermal effects of warm water discharge. In this article, the sea area near a nuclear power plant in Fujian was studied. Based on long-term thermal infrared satellite data before the operation of the first unit,the distribution of sea surface temperature field under different seasons and tidal conditions was obtained through temperature inversion. By using grid method and correlation analysis method,the sub zones with the highest temperature correlation inside and outside the submersible discharge area were determined,and a continuous background temperature field with multi-point temperature coupling was constructed. The temperature rise field was extracted using recent thermal infrared satellite data,and the impact of the operation of four units on the temperature rise in the nearby sea area was evaluated. The results shows that using the multi-point temperature substitution method to extract the reference temperature is effective and reliable. Before the operation of nuclear power,the temperature field in the study area showed significant temperature differences and band like distribution characteristics:in winter,the temperature gradually decreased from offshore to nearshore,while in summer and other months with higher temperatures,the opposite trend was observed. After the operation of the nuclear power plant,there was a significant temperature rise area in the sea area near the discharge outlet. During the ebb tide period,the temperature discharge mainly affected Qingchuan Bay,while during the flood tide period,both Qingchuan Bay and Wendu Bay were affected. The area of temperature rise exceeding 2.0 ℃ is larger in winter than in summer under the same tidal state,and the area during high tide is larger than that during low tide in the same season.

warm drainage  /  satellite remote sensing  /  reference temperature  /  multi point temperature substitution method  /  temperature rise
XUE Qing, JIANG Xue, ZHANG Xinyi, ZHANG En, DU Jilong. Study on the distribution characteristics of warm drainage from a nuclear power plant based on satellite remote sensing[J]. World Nuclear Geoscience, 2025 , 42 (1) : 166 -177 . DOI: 10.3969/j.issn.1672-0636.2025.01.014
  • self-developed projects at the Key Laboratory of Airborne Survey and Remote Sensing Technology of Hebei Province(202417)
Year 2025 volume 42 Issue 1
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Article Info
doi: 10.3969/j.issn.1672-0636.2025.01.014
  • Receive Date:2025-01-04
  • Online Date:2025-11-07
  • Published:2025-02-08
Article Data
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History
  • Received:2025-01-04
  • Revised:2025-01-14
Funding
self-developed projects at the Key Laboratory of Airborne Survey and Remote Sensing Technology of Hebei Province(202417)
Affiliations
    1 Airborne Survey and Remote Sensing Center of Nuclear Industry,Shijiazhuang 050002,China
    2 Key Laboratory of Airborne Survey and Remote Sensing Technology of Hebei Province,Shijiazhuang 050002,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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