Results 41 to 50 of about 1,266 (159)

A Digital-Twin-Based Detection and Protection Framework for SDC-Induced Sinkhole and Grayhole Nodes in Satellite Networks

open access: yesAerospace, 2023
In the space environment, cosmic rays and high-energy particles may cause a single-event upset (SEU) during program execution, and further cause silent data corruption (SDC) errors in program outputs.
Gongzhe Qiao   +3 more
doaj   +1 more source

InSAR Detection of Localized Subsidence Induced by Sinkhole Activity in Suburban West-Central Florida [PDF]

open access: yesProceedings of the International Association of Hydrological Sciences, 2020
Sinkhole activity in west-central Florida is a major hazard for people and property. Increasing frequency of sinkhole collapse is often related to an accelerated use of groundwater and land resources.
T. Oliver-Cabrera   +3 more
doaj   +1 more source

Spatial and Temporal Patterns of Land Subsidence and Sinkhole Occurrence in the Konya Endorheic Basin, Turkey

open access: yesGeosciences, 2023
The endorheic Konya Basin is a vast aggradational plain in Central Anatolia, Türkiye. It occupies a significant portion of Konya Province, covering approximately 50,000 km2.
Osman Orhan   +5 more
doaj   +1 more source

Integration of satellite-based A-DInSAR and geological modeling supporting the prevention from anthropogenic sinkholes: a case study in the urban area of Rome

open access: yesGeomatics, Natural Hazards & Risk, 2021
This paper presents a methodology tuned to support the management of underground pipelines (sewer and aqueduct networks) in Rome, often threatened by the sudden formation of sinkholes related to the upward migration of existing underground cavities.
Carlo Esposito   +9 more
doaj   +1 more source

Terrestrial and Airborne Structure from Motion Photogrammetry Applied for Change Detection within a Sinkhole in Thuringia, Germany

open access: yesRemote Sensing, 2022
Detection of geomorphological changes based on structure from motion (SfM) photogrammetry is highly dependent on the quality of the 3D reconstruction from high-quality images and the correspondingly derived point precision estimates.
Helene Petschko   +3 more
doaj   +1 more source

The Influence of Clay Content on Cave-ins in Tank Model Tests and Monitoring Indicators of Sinkhole Formation

open access: yesApplied Sciences, 2019
Urban cave-ins may result from a sudden change in local hydrological, hydrogeological and anthropogenic conditions. Monitoring and predicting urban sinkholes is not straightforward, and solving the problem of urban cave-ins involves the incorporation of ...
Sueng-Won Jeong   +4 more
doaj   +1 more source

Maximum entropy model-based spatial sinkhole occurrence prediction in Karapınar, Turkey

open access: yesKuwait Journal of Science, 2023
Sinkholes in Karapınar and their rapidly increasing occurrence rate are considered one of the main hazards that threaten arable lands and human life.
Fatih Sarı, Mustafa YALÇIN
doaj   +1 more source

Sinkhole Physical Models to Simulate and Investigate Sinkhole Collapses

open access: yesSinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Fourteenth Multidisciplinary Conference, 2015
Florida is one of the most susceptible states for sinkhole collapses due to its karst geology. In Florida, sinkholes are mainly classified as cover subsidence sinkholes that result in a gradual collapse with possible surface signs, and cover collapse sinkholes, which collapse in a sudden and often catastrophic manner.
Alrowaimi, Mohamed   +2 more
openaire   +3 more sources

Spatial Variations in Microbial Compositions in a Karst Critical Zone in Samcheok, Republic of Korea

open access: yesApplied Sciences, 2020
The effects of the unpredictability of the flow system in a karst area, with respect to bacterial communities in the aquatic environment, were evaluated.
Heejung Kim   +5 more
doaj   +1 more source

Sinkhole susceptibility analysis using machine learning for west central Florida

open access: yesApplied Computing and Geosciences
This study examined the feasibility and accuracy of applying machine learning for sinkhole classification and prediction and using the results in automated sinkhole susceptibility mapping for west central Florida.
Olanrewaju Muili, Hassan A. Babaie
doaj   +1 more source

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