Vulnerability assessment of power transmission towers affected by land subsidence via interferometric synthetic aperture radar technique and finite element method analysis: a case study of Zanjan and Qazvin provinces

Farshbaf, Armin; Mousavi, Mir Naghi; Shahnazi, Saman

doi:10.1007/s10668-023-03127-x

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…For example, APS compensation [179] and reference point correction [12] have been developed to mitigate the errors. Some studies have combined the finite element model [180], engineering knowledge [10], and radar deformation results for a joint analysis to detect the anomalous deformation To obtain a more accurate representation of true deformation, joint analysis of SAR images from different orbital geometries has been carried out in recent decades by applying formulations of Equation ( 6) to decompose the LOS deformation estimates into two dimensions, i.e., the horizontal (east and west) and vertical directions (up and down) [114,171]. Figure 11c,d show the deformation rate by spaceborne InSAR over the subway station after decomposing the LOS deformation into the vertical and horizontal directions, indicating that this station suffered deformation in both directions.…”

Section: Detection Of Anomalous Deformation Of Infrastructuresmentioning

confidence: 99%

Section: Detection Of Anomalous Deformation Of Infrastructuresmentioning

confidence: 99%

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Radar Interferometry for Urban Infrastructure Stability Monitoring: From Techniques to Applications

Wu,

Zhang,

Ding

et al. 2023

Sustainability

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Urban infrastructure is an important part of supporting the daily operation of a city. The stability of infrastructure is subject to various deformations related to disasters, engineering activities, and loadings. Regular monitoring of such deformations is critical to identify potential risks to infrastructure and take timely remedial actions. Among the advanced geodetic technologies available, radar interferometry has been widely used for infrastructure stability monitoring due to its extensive coverage, high spatial resolution, and accurate deformation measurements. Specifically, spaceborne InSAR and ground-based radar interferometry have become increasingly utilized in this field. This paper presents a comprehensive review of both technologies for monitoring urban infrastructures. The review begins by introducing the principles and their technical development. Then, a bibliometric analysis and the major advancements and applications of urban infrastructure monitoring are introduced. Finally, the paper identifies several challenges associated with those two radar interferometry technologies for monitoring urban infrastructure. These challenges include the inconsistent in the distribution of selected measurements from different methods, obstacles arising from rapid urbanization and geometric distortion, specialized monitoring techniques for distinct urban features, long-term deformation monitoring, and accurate interpretation of deformation. It is important to carry out further research to tackle these challenges effectively.

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Section: Detection Of Anomalous Deformation Of Infrastructuresmentioning

confidence: 99%

Section: Detection Of Anomalous Deformation Of Infrastructuresmentioning

confidence: 99%

Radar Interferometry for Urban Infrastructure Stability Monitoring: From Techniques to Applications

Wu,

Zhang,

Ding

et al. 2023

Sustainability

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Leveraging GNSS tropospheric products for machine learning-based land subsidence prediction

Tasan,

Ghorbaninasab,

Haji-Aghajany

et al. 2023

Earth Sci Inform

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Land subsidence is a hazardous phenomenon that requires accurate prediction to mitigate losses and prevent casualties. This study explores the utilization of the Long Short-Term Memory (LSTM) method for time series prediction of land subsidence, considering various contributing factors such as groundwater levels, soil type and slope, aquifer characteristics, vegetation coverage, land use, depth to the water table, proximity to exploiting wells, distance from rivers, distance from faults, temperature, and wet tropospheric products. Due to the high spatial variability of wet tropospheric parameters, utilizing numerical weather models for extraction is impractical, especially in regions with a sparse network of synoptic stations. This hinders obtaining accurate prediction results because wet tropospheric products play a significant role in subsidence prediction and cannot be ignored in the subsidence prediction process. In this study, Global Navigation Satellite Systems (GNSS) tropospheric products, including Integrated Water Vapor (IWV) and EvapoTranspiration (ET), are employed as alternatives. Two scenarios were considered: one incorporating GNSS products alongside other parameters, and the other relying solely on the remaining parameters in the absence of GNSS tropospheric products. Ground truth data from Interferometric Synthetic Aperture Radar (InSAR) displacement measurements were used for evaluation and testing. The results demonstrated that the inclusion of GNSS tropospheric products significantly enhanced prediction accuracy, with a Root Mean Square Error (RMSE) value of 3.07 cm/year in the first scenario. In the second scenario, the absence of wet tropospheric information led to subpar predictions, highlighting the crucial role of wet tropospheric data in spatial distribution. However, by utilizing tropospheric products obtained from GNSS observations, reasonably accurate predictions of displacement changes were achieved. This study underscores the importance of tropospheric indices and showcases the potential of the LSTM method in conjunction with GNSS observations for effective land subsidence prediction, enabling improved preventive measures and mitigation strategies in regions lacking synoptic data coverage.

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Advanced risk assessment framework for land subsidence impacts on transmission towers in salt lake region

Jin,

Zeng,

Wang

et al. 2024

Environmental Modelling & Software

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Vulnerability assessment of power transmission towers affected by land subsidence via interferometric synthetic aperture radar technique and finite element method analysis: a case study of Zanjan and Qazvin provinces

Cited by 5 publications

References 36 publications

Radar Interferometry for Urban Infrastructure Stability Monitoring: From Techniques to Applications

Radar Interferometry for Urban Infrastructure Stability Monitoring: From Techniques to Applications

Leveraging GNSS tropospheric products for machine learning-based land subsidence prediction

Advanced risk assessment framework for land subsidence impacts on transmission towers in salt lake region

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