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

文献类型：期刊论文

作者Nie, Pingjing2,3; Wu, Hua2,3; Xu, Jie2,3; Wei, Letian4; Zhu, Haitao1; Ni, Li5
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
出版日期2021
卷号14页码:6146-6155
关键词Remote sensing Earth Ocean temperature Artificial satellites Power generation Temperature sensors Discharges (electric) Environmental function zones Landsat nuclear power station remote sensing monitoring seasonal distribution temperature retrieving thermal discharge
ISSN号1939-1404
DOI10.1109/JSTARS.2021.3088529
通讯作者Wu, Hua(wuhua@igsnrr.ac.cn) ; Zhu, Haitao(zhuht@irsa.ac.cn)
英文摘要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 km(2) 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 km(2) 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.
WOS关键词SURFACE TEMPERATURE RETRIEVAL ; MONO-WINDOW ALGORITHM ; INFRARED DATA ; DAYA BAY ; SATELLITE ; PLUME ; DISCHARGE ; SKIN
资助项目National High-Resolution Earth Observation Project of China[21-Y20B01-9001-19/22] ; National Natural Science Foundation of China[41771398] ; National Natural Science Foundation of China[41871267]
WOS研究方向Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000670554200003
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National High-Resolution Earth Observation Project of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/163849]  
专题中国科学院地理科学与资源研究所
通讯作者Wu, Hua; Zhu, Haitao
作者单位1.Minist Ecol & Environm, Ctr Satellite Applicat Ecol & Environm, Beijing 100094, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
5.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
推荐引用方式
GB/T 7714		 Nie, Pingjing,Wu, Hua,Xu, Jie,et al. Thermal Pollution Monitoring of Tianwan Nuclear Power Plant for the Past 20 Years Based on Landsat Remote Sensed Data[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2021,14:6146-6155.
APA Nie, Pingjing,Wu, Hua,Xu, Jie,Wei, Letian,Zhu, Haitao,&Ni, Li.(2021).Thermal Pollution Monitoring of Tianwan Nuclear Power Plant for the Past 20 Years Based on Landsat Remote Sensed Data.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,14,6146-6155.
MLA Nie, Pingjing,et al."Thermal Pollution Monitoring of Tianwan Nuclear Power Plant for the Past 20 Years Based on Landsat Remote Sensed Data".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14(2021):6146-6155.

入库方式： OAI收割

来源：地理科学与资源研究所

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