基于遥感解译的盐湖地区输电线路杆塔地面沉降易发性评价

金必晶; 殷坤龙; 桂蕾; 赵斌滨; 郭宝瑞; 曾韬睿

doi:10.3799/dqkx.2022.109

Volume 49 Issue 2

Feb. 2024

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Article Navigation > Earth Science > 2024 > 49(2): 538-549

Jin Bijing, Yin Kunlong, Gui Lei, Zhao Binbin, Guo Baorui, Zeng Taorui, 2024. Susceptibility Assessment of Land Subsidence of Transmission Line Towers in the Salt Lake Area Based on Remote Sensing Interpretation. Earth Science, 49(2): 538-549. doi: 10.3799/dqkx.2022.109

Citation:

Jin Bijing, Yin Kunlong, Gui Lei, Zhao Binbin, Guo Baorui, Zeng Taorui, 2024. Susceptibility Assessment of Land Subsidence of Transmission Line Towers in the Salt Lake Area Based on Remote Sensing Interpretation. Earth Science, 49(2): 538-549. doi: 10.3799/dqkx.2022.109

Citation:

Jin Bijing, Yin Kunlong, Gui Lei, Zhao Binbin, Guo Baorui, Zeng Taorui, 2024. Susceptibility Assessment of Land Subsidence of Transmission Line Towers in the Salt Lake Area Based on Remote Sensing Interpretation. Earth Science, 49(2): 538-549. doi: 10.3799/dqkx.2022.109

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Susceptibility Assessment of Land Subsidence of Transmission Line Towers in the Salt Lake Area Based on Remote Sensing Interpretation

doi: 10.3799/dqkx.2022.109

Jin Bijing^{1
,
,},
Yin Kunlong¹,
Gui Lei^{1
,
,},
Zhao Binbin^{1, 2},
Guo Baorui¹,
Zeng Taorui¹

1.
Faculty of Engineering, China University of Geosciences, Wuhan 430074, China
2.
China Electric Power Research Institute, State Grid Corporation of China, Beijing 100192, China

Received Date: 2022-11-25
Publish Date: 2024-02-25

Abstract

Abstract

The 750 kV Chaiyu transmission line across the Qarhan Salt Lake area is an important part of the energy transportation channel in the western part of the country. Affected by the special geological environment and human activities in the salt lake area, some tower foundations have uneven settlement, which seriously threatens the safe operation of the transmission line. Aiming at the problem of deformation and failure of tower foundation in salt lake area, small baseline integrated aperture radar interferometry (SBAS-InSAR) technology was used to carry out remote sensing interpretation of Sentinel 1A data in 2018 before the deformation and instability of tower foundation, and the distribution of ground subsidence in salt lake area was obtained. Based on the frequency ratio method, eight evaluation factors with strong correlation with land subsidence were selected to construct the evaluation index system of land subsidence susceptibility in the salt lake region. The multi-layer perceptron neural network(MLPNN), logical regression(LR) and Bayesian network(BN) were used to compare and analyze the evaluation effect and accuracy of land subsidence susceptibility in the salt lake region. The evaluation results show that the evaluation accuracy of MLPNN, LR and BN is high, which are 0.85, 0.84 and 0.82, respectively. This shows that the method of combining the sample data of land subsidence obtained by remote sensing interpretation with machine learning is an effective means for evaluating the susceptibility of ground subsidence of transmission line towers in the salt lake region. At the same time, the evaluation results can provide reference for transmission line tower monitoring, operation management and new tower location.
- salt lake region,
- deformation and failure of tower foundation,
- remote sensing,
- frequency ratio,
- machine learning

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References(45)

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Susceptibility Assessment of Land Subsidence of Transmission Line Towers in the Salt Lake Area Based on Remote Sensing Interpretation

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