Research on Land-Based Wind/Solar Power Station Site Deformation Monitoring Based on SBAS-InSAR Technology

被引:0
作者
Guo J. [1 ]
Liu L. [1 ]
Zheng Y. [1 ]
Cai W. [1 ]
Wang Z. [1 ]
Wang S. [1 ]
机构
[1] Zhejiang Electric Power Design Institute Co., Ltd, China Energy Engineering Group, Zhejiang Province, Hangzhou
关键词
Deformation Monitoring; Land-based Wind/Solar Power Station; SBAS-InSAR; Time Series;
D O I
10.4108/ew.5656
中图分类号
学科分类号
摘要
INTRODUCTION: In recent years, China has been building extensive wind/solar power stations. During the construction and operation of land-based wind/solar power stations, deformation monitoring is an important method to investigate the station stability. OBJECTIVES: Therefore, this study uses Sentinel-1 data and time-series InSAR technology to monitor the deformation of photovoltaic and wind power stations in Qingyuan County. METHODS: InSAR technology obtains deformation rate maps in the radar line of sight (LOS) direction for a wide area around the power station sites. Since wind/solar power stations are mainly located in natural environments with relatively dense vegetation coverage, this paper proposes a SBAS-InSAR method integrated with spatiotemporal filtering to accurately extract the time series deformation over a large area. Based on the statistical characteristic difference between the deformation and the atmospheric delay, spatiotemporal filterings are applied to remove the atmospheric delay from the InSAR derived deformation results. RESULTS: The experimental results show that spatiotemporal filtering is an effective and fast method to remove atmospheric delay. CONCLUSION: The integration of BSAS-InSAR with spatiotemporal filtering has great potential applications in the deformation monitoring of land-based wind/solar power station sites, which is critical for the construction and operation of land-based wind/solar power stations. © 2024 J. Guo et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
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页码:1 / 10
页数:9
相关论文
共 26 条
[1]  
Wang Y., Chao Q., Zhao L., Chang R., Assessment of wind and photovoltaic power potential in China, Carbon Neutrality, 1, 1, (2022)
[2]  
Lin C. K., Dai C. Y., Wu J. C., Analysis of structural deformation and deformation-induced solar radiation misalignment in a tracking photovoltaic system, Renewable energy, 59, pp. 65-74, (2013)
[3]  
Abdollahi R., Impact of wind on strength and deformation of solar photovoltaic modules, Environmental Science and Pollution Research, 28, 17, pp. 21589-21598, (2021)
[4]  
Raucoules D., Et al., Validation and intercomparison of Persistent Scatterers Interferometry: PSIC4 project results, Journal of Applied Geophysics, 68, 3, pp. 335-347, (2009)
[5]  
Cigna F., Osmanoglu B., Cabral-Cano E., Dixon T.H, Avila-Olivera J.A., Garduno-Monroy V.H., DeMets C., Wdowinski S., Monitoring land subsidence and its induced geological hazard with synthetic aperture radar interferometry: A case study in Morelia, Mexico, Remote Sens. Environ, 117, pp. 146-161, (2012)
[6]  
Costantini M., Ferretti A., Minati F., Falco S., Trillo F., Colombo D., Novali F., Malvarosa F., Mammone C., Vecchioli F., Rucci A., Fumagalli A., Allievi J., Ciminelli. M.G., Costabile. S. Analysis of surface deformations over the whole Italian territory by interferometric processing of ERS, Envisat and COSMO-Sky Medradar data, Remote Sens. Environ, 202, pp. 250-275, (2017)
[7]  
Osmanoglu B., Sunar F., Wdowinski S., Cabral-Cano E., Time series analysis of InSAR data: Methods and trends, ISPRS J. Photogramm. Remote Sens, 115, pp. 90-102, (2016)
[8]  
Massonnet D., Rossi M., Carmona C., Adragna F., Peltzer G., Feigl K., Rabaute T., The displacement field of the Landers earthquake mapped by radar interferometry, Nature, 364, 6433, pp. 138-142, (1993)
[9]  
Wasowski J., Bovenga F., Investigating landslides and unstable slopes with satellite Multi Temporal Interferometry: Current issues and future perspectives, Eng. Geol, 174, pp. 103-138, (2014)
[10]  
Crosetto M., Monserrat O., Bremmer C., Hanssen R., Capes R., Marsh S., Ground motion monitoring using SAR interferometry: quality assessment, Eur.Geol, 26, pp. 12-15, (2009)