Application of satellite remote sensing data for monitoring thermal discharge pollution from Tianwan nuclear power plant in eastern China

2012 ◽  
Author(s):  
Xiaoyan Dai ◽  
Zhongyang Guo ◽  
Yuan Lin ◽  
Chao Wei ◽  
Shufeng Ye
Keyword(s):  
Remote Sensing ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Satellite Remote Sensing ◽  
Nuclear Power ◽  
Eastern China ◽  
Remote Sensing Data ◽  
Thermal Discharge ◽  
Sensing Data

scholarly journals Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling

2021 ◽  
Vol 9 (12) ◽  
pp. 1437
Author(s):  
Luis Laguna-Zarate ◽  
Héctor Barrios-Piña ◽  
Hermilo Ramírez-León ◽  
Raudel García-Díaz ◽  
Rocio Becerril-Piña
Keyword(s):  
Remote Sensing ◽  
Numerical Modeling ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Numerical Simulations ◽  
Nuclear Power ◽  
Turbulence Models ◽  
Remote Sensing Data ◽  
Thermal Plume ◽  
Plume Dispersion

The aim of this work was to study, by remote sensing and numerical modeling, the thermal dispersion of a plume discharged into the sea by a nuclear power plant. The case study is the thermal discharge of the Laguna Verde nuclear power plant, located on the coast of the Gulf of Mexico. First, the thermal plume dispersion was characterized by applying remote sensing for different scenarios. Afterwards, Delft3D-FLOW numerical simulations were performed to expand the analysis of the thermal processes for a case in which the thermal plume tends towards the intake of the power plant. This thermal analysis was carried out by comparing the behavior of different dimensionless parameters. Moreover, the results of the numerical simulations were used to investigate the performance of the AEM and the k-L and k-ε turbulence models, available in the Delft3D-FLOW model. An LES turbulence model contribution was also analyzed. The results show that forced convection is predominant near the plume discharge area and at the vicinity of the intake structure. According to the metrics calculated, all turbulence models produced good agreement with the remote sensing data, except when the LES scheme was considered. Finally, the use of remote sensing and numerical simulations is helpful to better understand thermal plume dispersion.

Drought monitoring in North China using HJ-1 satellite remote sensing data

2009 ◽  
Author(s):  
Bingfeng Yang ◽  
Qiao Wang ◽  
Changzuo Wang ◽  
Huawei Wan ◽  
Yipeng Yang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
North China ◽  
Remote Sensing Data ◽  
Drought Monitoring ◽  
Sensing Data
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