Analysis of Uneven Settlement of Long-Span Bridge Foundations Based on SBAS-InSAR

Remote Sensing, Год журнала: 2025, Номер 17(2), С. 248 - 248

Опубликована: Янв. 11, 2025

Bridge foundation settlement monitoring is crucial for infrastructure safety management, as uneven can lead to stress redistribution, structural damage, and potentially catastrophic collapse. While traditional contact sensors provide reliable measurements, their deployment labor-intensive costly, especially long-span bridges. Current remote sensing methods have not been thoroughly evaluated capability detect analyze complex patterns in challenging environments with multiple influencing factors. Here, we applied Small Baseline Subsets Synthetic Aperture Radar Interferometry (SBAS-InSAR) technology monitor of a bridge. Our analysis revealed distinct deformation patterns: uplift the north bank approach bridge left-side main (maximum rate: 36.97 mm/year), concurrent subsidence right-side south 35.59 mm/year). We then investigated relationship between these various environmental factors, including geological conditions, Sediment Transport Index (STI), Topographic Wetness (TWI), precipitation, temperature. The observed were attributed combined effects stratigraphic heterogeneity, dynamic hydrological seasonal climate variations. These findings demonstrate that SBAS-InSAR effectively capture processes, offering cost-effective alternative methods. This advancement could enable more widespread frequent assessment stability, ultimately improving management.

Язык: Английский

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Optimizing Electric Vehicle Charging Infrastructure Powered by Photovoltaics: A Geospatial and Multi-Criteria Analysis for Sustainable Urban Mobility

Опубликована: Янв. 1, 2025

Язык: Английский

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Kogi West Geophysical Mineralisation Appraisal Using Analytical Hierarchy Process (AHP)

Journal of African Earth Sciences, Год журнала: 2024, Номер unknown, С. 105532 - 105532

Опубликована: Дек. 1, 2024

Язык: Английский

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Groundwater potential and recharge zone mapping using GIS and remote sensing techniques: the Melka Kunture Watershed in Ethiopia

Discover Sustainability, Год журнала: 2024, Номер 5(1)

Опубликована: Окт. 15, 2024

Groundwater is the most dynamic natural resource that not uniformly distributed both in space and time. Identifying it for sustainable water development domestic use, irrigation, industrial purposes biggest challenge key concern due to climate change, overexploitation, a lack of proper management. Geographical information system (GIS) remote sensing (RS) play fundamental role identifying suitable groundwater potential recharge zones. In this study, zone map are delineated using GIS RS techniques integrated with Analytic Hierarchy Process (AHP) Melka Kunture Watershed Ethiopia. The thematic layers used were: Lithology, geomorphology, slope, lineament density, land use/cover, rainfall, drainage density soil. has been integrate overlay weighted analysis tool, whereas AHP method assign weights, normalize, rank their associated sub-themes based on suitability, characteristics, or influence output categorized into four zones: high cover 1105.60 km2 (25.70%), moderate 2308.00 (53.73%), low 880.0 (20.49%), very 47.80 (1.10%), there three 250.20 (5.80%), 3647.90 (84.00%), 443.50 (10.20%) study area. Hence, areas have more zones as compared total was validated existing source well points, indicated good prediction accuracy 88%. Thus, maps reliable, resultant potentiality mapping played vital management resources

Язык: Английский

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Groundwater Potential Mapping using Machine Learning Approach in West Java, Indonesia

Groundwater for Sustainable Development, Год журнала: 2024, Номер unknown, С. 101382 - 101382

Опубликована: Ноя. 1, 2024

Язык: Английский

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Estimating groundwater recharge through multiple methods: southern sections of the western Afar rift margin and associated rift floor

Environmental Earth Sciences, Год журнала: 2024, Номер 84(1)

Опубликована: Дек. 28, 2024

Язык: Английский

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