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

Dessie Nedaw,

Tilahun Azagegn

et al.

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 84(1)

Published: Dec. 28, 2024

Language: Английский

Analysis of Uneven Settlement of Long-Span Bridge Foundations Based on SBAS-InSAR DOI Creative Commons
Kaixuan Zhang, Wen‐Jing Xiao, Hao‐Jie Zhu

et al.

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

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

Mohamed Benayad,

Mohamed Rabii Simou

Published: Jan. 1, 2025

Language: Английский

Citations

0

Kogi West Geophysical Mineralisation Appraisal Using Analytical Hierarchy Process (AHP) DOI
Fahad Abubakar, Ismail Ahmad Abir, Ahmed K. Hassan

et al.

Journal of African Earth Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 105532 - 105532

Published: Dec. 1, 2024

Language: Английский

Citations

2

Groundwater potential and recharge zone mapping using GIS and remote sensing techniques: the Melka Kunture Watershed in Ethiopia DOI Creative Commons
Solomon Tulu Bulbula, Abdulkerim Bedewi Serur

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 Potential Mapping using Machine Learning Approach in West Java, Indonesia DOI
Jalu Tejo Nugroho, Anugrah Indah Lestari, Budhi Gustiandi

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: unknown, P. 101382 - 101382

Published: Nov. 1, 2024

Language: Английский

Citations

1

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

Dessie Nedaw,

Tilahun Azagegn

et al.

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 84(1)

Published: Dec. 28, 2024

Language: Английский

Citations

0