Temporal and spatial characteristics of thermal discharge in Tianwan Nuclear Power Plant based on remote sensing data

XING Mengling, WANG Difeng, HE Xianqiang, BAI Yan, CHENG Yinhe

Journal of Marine Sciences ›› 2020, Vol. 38 ›› Issue (4) : 72-79.

PDF(2860 KB)
PDF(2860 KB)
Journal of Marine Sciences ›› 2020, Vol. 38 ›› Issue (4) : 72-79. DOI: 10.3969/j.issn.1001-909X.2020.04.008

Temporal and spatial characteristics of thermal discharge in Tianwan Nuclear Power Plant based on remote sensing data

  • XING Mengling1,2,3, WANG Difeng*2,3, HE Xianqiang2,3, BAI Yan2,3, CHENG Yinhe1
Author information +
History +

Abstract

Based on 2007-2018 Landsat series of multi-source remote sensing satellite data, the spatial-temporal characteristics and affecting analysis were carried. The radiative transfer equation algorithm and split-window algorithm were used to retrieve sea surface temperature. After verifying the algorithm through Landsat-MODIS comparison, it shows that the inversed results have a significant linear correlation with the MODIS SST products. Based on the temperature retrieve results of the study area, the characteristics of the seasonal, annual and tidal variation were analyzed. In the aspect of seasonal distribution, the range of spring thermal discharge which is the largest in four seasons is 7 times of autumn one. In the aspect of interannual distribution, with the expansion of installed capacity, the range of thermal discharge continues to expand, reaching to the peak in 2018. In terms of the influence of tides on thermal discharge, the thermal discharge at the moment of high water slack is larger than that of the low water slack. West wind is beneficial to the diffusion of thermal discharge, but its impact on thermal discharge is limited.

Key words

thermal discharge / long time series / spatial-temporal characteristics / Landsat

Cite this article

Download Citations
XING Mengling, WANG Difeng, HE Xianqiang, BAI Yan, CHENG Yinhe. Temporal and spatial characteristics of thermal discharge in Tianwan Nuclear Power Plant based on remote sensing data[J]. Journal of Marine Sciences. 2020, 38(4): 72-79 https://doi.org/10.3969/j.issn.1001-909X.2020.04.008

References

[1] 栗小东.基于遥感的滨海核电厂温排水污染监测研究[D].上海:华东师范大学,2011.
LI Xiaodong. Remote sensing based monitoring of coastal nuclear power plant's thermal pollution[D]. Shanghai: East China Normal University, 2011.
[2] 朱晓翔,刘建琳,王凤英.核电站温排水环境影响研究方法调查评价[J].电力科技与环保,2010,26(1):8-10.
ZHU Xiaoxiang, LIU Jianlin, WANG Fengying. Investigation and evaluation of studies on the thermal discharge from Nuclear Power Plant[J]. Electric Power Science and Technology, 2010, 26(1): 8-10.
[3] 苑佳卉,吴元柱.核电站温排水现状研究[J].科技视界,2015(12):231,259.
YUAN Jiahui, WU Yuanzhu. Study on the thermal discharge of nuclear power plant at present[J]. Science and Technology Vision, 2015(12): 231,259.
[4] JIANG Shang, HOU Jianping. The impact analysis for marine environment which caused by the thermal discharge of power plant[C]//International Forum on Energy, Environment Science & Materials, Shenzhen, China, 2015.
[5] LIN Jie, ZOU Xinqing, HUANG Faming. Effects of the thermal discharge from an offshore power plant on plankton and macrobenthic communities in subtropical China[J]. Marine Pollution Bulletin, 2018, 131: 106-114.
[6] DONG Zhiguo, CHEN Yihua, GE Hongxing, et al. Response of growth and development of the Pacific oyster(Crassostrea gigas) to thermal discharge from a nuclear power plant[J]. BMC Ecology, 2018, 18(1): 1-11.
[7] 周颖,巩彩兰,匡定波,等.基于环境减灾卫星热红外波段数据研究核电厂温排水分布[J].红外与毫米波学报,2012,31(6):544-549.
ZHOU Ying, GONG Cailan, KUANG Dingbo, et al. Distribution of thermal discharge from a power plant: Analysis of thermal infrared data from the environmental mitigation satellite[J]. Journal of Infrared and Millimeter Waves, 2012, 31(6): 544-549.
[8] 朱利.基于环境1号红外相机的田湾核电站温排水遥感监测研究[C]//第十七届中国环境遥感应用技术论坛.中国山西太原,2013.
ZHU Li. Research on remote sensing monitoring of thermal discharge in Tianwan Nuclear Power Station based on Environment No.1 Infrared Camera [C]//The 17th China Environmental Remote Sensing Application Technical Forum. Taiyuan, Shanxi, China, 2013.
[9] WANG Difeng, PAN Delu, WEI Jian, et al. Monitoring thermal discharge from a nuclear plant through Landsat 8[C]//Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016. DOI:10.1117/12.2242253.
[10] 赵金玉.近三十年淮河流域地表水时空演变遥感监测研究[D].开封:河南大学,2020.
ZHAO Jinyu. Remote sensing monitoring research on spatial-temporal evolution of surface water in Huaihe River Basin in recent 30 years[D]. Kaifeng: He'nan University, 2020.
[11] 成丰,朱利,吴传庆,等.基于遥感数据的核电站温排水季节性分布监测分析——以阳江核电站为例[J].环境保护,2017,45(4):44-48.
CHENG Feng, ZHU Li, WU Chuanqing, et al. Application of remote sensing data for monitoring seasonal distribution of thermal plume from nuclear power plant: a case study of Yangjiang nuclear power plant[J]. Environmental Protection, 2017, 45(4): 44-48.
[12] XING Qianguo, LI Lin, LOU Mingjing, et al. Observation of oil spills through Landsat Thermal Infrared Imagery: A case of deepwater horizon[J]. Aquatic Procedia, 2015, 3: 151-156.
[13] 徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):79-85.
XU Hanqiu. A study on information extraction of water body with the modified normalized difference water index (MNDWI)[J]. Journal of Remote Sensing, 2005, 9(5): 79-85.
[14] 陈瀚阅,朱利,李家国,等.基于Landsat8数据的2种海表温度反演单窗算法对比——以红沿河核电基地海域为例[J].国土资源遥感,2018,30(1):45-53.
CHEN Hanyue, ZHU Li, LI Jiaguo, et al. A comparison of two mono-window algorithms for retrieving sea surface temperature from Landsat8 data in coastal water of Hongyan River nuclear power station[J]. Remote Sensing for Land and Resources, 2018, 30(1): 45-53.
[15] 吕春阳.基于Landsat8数据劈窗算法的红沿河核电站温排水监测[D].辽宁:辽宁工程技术大学,2016.
LÜ Chunyang. Thermal discharge monitoring of Hongyanhe Nuclear Power Station based on Landsat-8 and Split Window Algorithm[D]. Liaoning: Liaoning Technical University, 2016.
[16] LI Xiang, LING Tiejun, ZHANG Yunfei, et al. A 31 year global diurnal sea surface temperature dataset created by an ocean mixed-layer model[J]. Advances in Atmospheric Sciences, 2018, 35(12): 1443-1454.
[17] 张琳.静止轨道海洋水色卫星遥感产品的真实性检验研究[D].杭州:杭州师范大学,2017.
ZHANG Lin. Validation of the remote sensing products retrieved of Geostationary Ocean Color Imager[D]. Hangzhou: Hangzhou Normal University, 2017.
[18] 王祥,苏岫,张浩,等.不同空间分辨率遥感数据在核电站温排水监测中的应用研究[J].海洋环境科学,2020,39(4):646-651.
WANG Xiang, SU Xiu, ZHANG Hao, et al. Remote sensing based application research of nuclear plant thermal plume monitoring with different spatial resolution imagery [J]. Marine Environmental Science, 2020, 39(4): 646-651.
[19] 张惠荣,赵瀛,杨红,等.象山港滨海电厂温排水温升特征及影响效应研究[J].上海海洋大学学报,2013,22(2):274-281.
ZHANG Huirong, ZHAO Ying, YANG Hong, et al. Study on temperature rise characteristics and influence effects of thermal discharge from coastal power plant in Xiangshan Bay[J]. Journal of Shanghai Ocean University, 2013, 22 (2): 274-281.
[20] 中华人民共和国环境保护部.海水水质标准:GB3097—1997[S]. 北京: 中国环境科学出版社,2004.
Ministry of Environmental Protection of the People's Republic of China. Sea water quality standard: GB3097—1997[S]. Beijing: China Environmental Science Press, 2004.
[21] 张存勇.连云港近岸海域潮流动力特征[J].水运工程,2012(9):30-34.
ZHANG Cunyong. Characteristics of tidal current dynamic in Lianyungang nearshore area[J].Water Transport Engineering, 2012(9): 30-34.
[22] 顾杰,韩雪健,匡翠萍,等.温排水在河口潟湖海岸中输运的三维模拟与分析[J].水动力学研究与进展(A辑),2020,35(2):201-212.
GU Jie, HAN Xuejian, KUANG Cuiping, et al. Three-dimensional simulation and analysis of thermal discharge transport in a coast with lagoon and estuary[J]. Hydrodynamic Research and Progress (Series A), 2020, 35(2): 201-212.
PDF(2860 KB)

Accesses

Citation

Detail

Sections
Recommended

/