About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
ew 24(1):

Research Article

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

Download106 downloads
Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/ew.5656,
        author={Junke Guo and Ling Liu and Yongfeng Zheng and Wei Cai and Zhijun Wang and Shangqi Wang},
        title={Research on Land-Based Wind/Solar Power Station Site Deformation Monitoring Based on SBAS-InSAR Technology},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2024},
        month={4},
        keywords={LAnd-based Wind/Solar Power Station, Deformation Monitoring, Time Series, SBAS-InSAR},
        doi={10.4108/ew.5656}
    }
    
  • Junke Guo
    Ling Liu
    Yongfeng Zheng
    Wei Cai
    Zhijun Wang
    Shangqi Wang
    Year: 2024
    Research on Land-Based Wind/Solar Power Station Site Deformation Monitoring Based on SBAS-InSAR Technology
    EW
    EAI
    DOI: 10.4108/ew.5656
Junke Guo1, Ling Liu1,*, Yongfeng Zheng1, Wei Cai1, Zhijun Wang1, Shangqi Wang1
  • 1: China Energy Engineering Group
*Contact email: 598334204@qq.com

Abstract

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.

Keywords
LAnd-based Wind/Solar Power Station, Deformation Monitoring, Time Series, SBAS-InSAR
Received
2023-12-26
Accepted
2024-03-29
Published
2024-04-05
Publisher
EAI
http://dx.doi.org/10.4108/ew.5656

Copyright © 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.

EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL