Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 84(1)
Published: Dec. 28, 2024
Language: Английский
Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 248 - 248
Published: Jan. 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.
Language: Английский
Citations
0
Published: Jan. 1, 2025
Language: Английский
Citations
0
Journal of African Earth Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 105532 - 105532
Published: Dec. 1, 2024
Language: Английский
Citations
2
Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)
Published: Oct. 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
Language: Английский
Citations
1
Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: unknown, P. 101382 - 101382
Published: Nov. 1, 2024
Language: Английский
Citations
1
Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 84(1)
Published: Dec. 28, 2024
Language: Английский
Citations
0