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Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
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Full-Text Articles in Engineering
Estimating Aquifer System Storage Loss With Water Levels, Pumping And Insar Data In The Parowan Valley, Utah, Ryan G. Smith, Jiawei Li, Katherine R. Grote, Jim Butler
Estimating Aquifer System Storage Loss With Water Levels, Pumping And Insar Data In The Parowan Valley, Utah, Ryan G. Smith, Jiawei Li, Katherine R. Grote, Jim Butler
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
In the Parowan Valley of Utah, Groundwater Levels Have Declined by as Much as 30 M over the Past 50 Years with Accompanying Subsidence Rates of Up to 5 Cm/year. Traditional Methods to Estimate Groundwater Storage Change Use a Combination of Groundwater Level and Storativity Estimates, But There is Often Considerable Uncertainty in These. in This Study, We Demonstrate a New Method that Relies on a Combination of Geodetic Data from InSAR, as Well as Groundwater Level and Pumping Data, to Estimate Both the Total Groundwater Storage Loss and the Percentages of Storage Loss in Fine- and Coarse-Grained Layers within …
Analyzing Spatio-Temporal Mechanisms Of Land Subsidence In The Parowan Valley, Utah, Usa, Jiawei Li, Ryan G. Smith, Katherine R. Grote
Analyzing Spatio-Temporal Mechanisms Of Land Subsidence In The Parowan Valley, Utah, Usa, Jiawei Li, Ryan G. Smith, Katherine R. Grote
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Parowan Valley, Utah (USA), is an agricultural region experiencing rapid subsidence due to extensive groundwater extraction from aquifers with a significant portion of fine-grained sediments. To analyze the subsidence spatio-temporally, time-series Interferometric Synthetic Aperture Radar (InSAR) of 155 Sentinel-1 C-band scenes were processed. These data showed approximately 30 cm of ground subsidence in Parowan Valley from 2014 to 2020. Because of the high temporal sampling rate of the Sentinel-1 satellite (12-day cycle), it is possible to determine the seasonal changes of ground deformation and relate this to groundwater extraction. To better understand the relationship between ground deformation and groundwater extraction …
Complex Rupture And Triggered Aseismic Creep During The 14 August 2021 Haiti Earthquake From Satellite Geodesy, Jeremy Maurer, R. Dutta, A. Vernon, S. Vajedian
Complex Rupture And Triggered Aseismic Creep During The 14 August 2021 Haiti Earthquake From Satellite Geodesy, Jeremy Maurer, R. Dutta, A. Vernon, S. Vajedian
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
The 2021 August 14 MW 7.2 Nippes, Haiti earthquake occurred 75 km west of the epicenter of the 2010 Leogane earthquake (Haiti) on the transpressive Caribbean - North America plate boundary. We present an updated fault map for Hispaniola and model coseismic and early postseismic fault slip using Interferometric Synthetic Aperture Radar and pixel offsets. We find the earthquake ruptured multiple segments of the Enriquillo-Plantain Garden Fault Zone. Slip occurred in two main sub-events on either side of a restraining bend at Pic Macaya, with ∼2.7 m of peak reverse-slip east of the bend. To the west, slip jumps the …
Modeling Land Subsidence Using Insar And Airborne Electromagnetic Data, Ryan G. Smith, R. Knight
Modeling Land Subsidence Using Insar And Airborne Electromagnetic Data, Ryan G. Smith, R. Knight
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Land subsidence as a result of groundwater overpumping in the San Joaquin Valley, California, is associated with the loss of groundwater storage and aquifer contamination. Although the physical processes governing land subsidence are well understood, building predictive models of subsidence is challenging because so much subsurface information is required to do so accurately. For the first time, we integrate airborne electromagnetic data, representing the subsurface, with subsidence data, mapped by interferometric synthetic aperture radar (InSAR), to model deformation. By combining both data sets, we are able to solve for hydrologic and geophysical properties of the subsurface to effectively model the …