Geology of the conterminous United States at 1:2,500,000 scale; a digital representation of the 1974 P.B. King and H.M. Beikman map

Schruben, Paul G.; Arndt, Raymond E.; Bawiec, Walter J.

doi:10.3133/ds11rel1

Cited by 34 publications

(27 citation statements)

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“…From a GIS geological dataset, we found the Puerto Rican ultramafics (within view in the Figure 12 map) to have an estimated maximum surface area of 165.95 km 2 [4]. The areas from literature of the three major deposits listed below sum to 109 km 2 .…”

Section: Iii2a Southwestern Puerto Ricomentioning

confidence: 99%

“…Lizardite and chrysotile share the same ideal chemical formula, while that for antigorite differs slightly. The ideal formula is (Mg,Fe) 3 Si 2 O 5 (OH) 4 and the mineralogy is a phylosilicate, or sheet silicate.…”

Section: Eugeosyncline-the Oceanic Part Of a Geosyncline Characterizmentioning

confidence: 99%

“…The ultramafics of the Western North Carolina region has an estimated maximum surface area of 237.75 km 2 [4]. Total serpentinite mass in this region has been estimated at 3.3 Gt [2].…”

Section: Iii1c Western North Carolinamentioning

confidence: 99%

“…[4]. The mass of serpentinite rock in the region has been estimated in literature as approximately 8 Gt [12].…”

Section: Belvidere Mountainmentioning

confidence: 99%

“…A viable mineral carbon sequestration process utilizing serpentine has never been demonstrated due to slow reaction times with carbon dioxide in aqueous solutions. Experiments were performed exploring the catalytic effect that NaCl and NH 4 Cl may have on serpentine dissolution, the rate limiting step in the overall carbonation process.…”

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confidence: 99%

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Integrating Steel Production with Mineral Carbon Sequestration

Lackner¹,

Doby²,

Yegulalp³

et al. 2008

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Mineral sequestration, the disposal of carbon dioxide in the form of benign solid carbonate, provides a permanent and safe method of carbon dioxide disposal of virtually unlimited capacity. The objective of this project is to to develop a combination iron oxide production and carbon sequestration plant that will use serpentine ores as the source of iron and dispose of its own CO2. By using the same ore processing steps for carbon sequestration and iron ore production we increase the value of the carbon sequestration process and consequently reduce the cost of sequestration with this added value.Particularly important for justifying the feasibility of a combined iron production and mineral carbonation process for the mitigation of CO 2 generated by the iron and steel industry is the identification of locations where this process may be implemented. This identification is dependent both on the physical and chemical characteristics of the deposits themselves, as well as the current land-ownership and use in their location and proximity to iron processing plants and/or large sources of CO 2 . In this project we identify the locations of deposits, estimate the volume of mineral available, and summarize known geochemical data on major deposits as described in the geological literature.In developing the chemical pathways for a hydrometallurgical process we will further the identification of potential solvents. Finally, we will create a standardized process through which to characterize serpentine deposits in terms of carbon disposal capacity and iron and steel production capacity. 3 Keywords Executive SummaryHere we propose to develop a combination iron oxide production and carbon sequestration plant that will use serpentine ores as the source of iron and dispose of its own CO 2 --plus additional CO 2 from other sources --in the mineral tailings that are left after iron is separated. By using the same ore processing steps for carbon sequestration and iron ore production we increase the value of the carbon sequestration process and consequently reduce the cost of sequestration with this added value.1. Geographical information system (GIS) datasets describing surface geology were obtained for the majority of ultramafic-containing states and used to estimate surface area exposure of serpentinite and ultramafic resources. Regional and nationwide datasets filled in gaps where statewide data is not available. Various land use datasets were integrated to account for areas such as urban centers and designated wilderness to eliminate locations where it will not be politically feasible to operate a mineral sequestration plant. The east coast ultramafic resource surface area is approximately 1086.44 km 2 . After filters for land-use are applied, there are 976.10 km 2 suitable reserves. The west coast resources are much greater, at 8,730 km 2 and reducing to 6677 km 2 after land use is taken into account. With depths of at least 500 m available for economic mining and using the density of serpentine (2.55 g/cm 2 ), reserv...

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Section: Iii2a Southwestern Puerto Ricomentioning

confidence: 99%

Section: Eugeosyncline-the Oceanic Part Of a Geosyncline Characterizmentioning

confidence: 99%

“…The ultramafics of the Western North Carolina region has an estimated maximum surface area of 237.75 km 2 [4]. Total serpentinite mass in this region has been estimated at 3.3 Gt [2].…”

Section: Iii1c Western North Carolinamentioning

confidence: 99%

“…[4]. The mass of serpentinite rock in the region has been estimated in literature as approximately 8 Gt [12].…”

Section: Belvidere Mountainmentioning

confidence: 99%

mentioning

confidence: 99%

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Integrating Steel Production with Mineral Carbon Sequestration

Lackner¹,

Doby²,

Yegulalp³

et al. 2008

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The seismic structure beneath the Yellowstone Volcano Field from ambient seismic noise

Seats

Lawrence

2014

Geophysical Research Letters

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We evaluate Rayleigh wave group velocity dispersion (5-40 s) around the Yellowstone Volcano Field with ambient noise tomography, measured from vertical component noise correlation functions. We include broadband data from 239 seismic stations (1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012), including USArray's Transportable Array and the Noise Observatory for Imaging the Subsurface beneath Yellowstone (NOISY). Short-period (<13 s) group velocity anomalies are imaged for the Bighorn Basin (~25% slow) and Range (~20% fast), and the Yellowstone Plateau (~10% fast). Beneath the Yellowstone caldera, Rayleigh wave group velocities are~25% slower than the regional average with slow anomalies (<À15%) observed from 5 to 24 s. These values are consistent with a magmatic body being heated from below by an underlying plume.

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Global‐scale river network extraction based on high‐resolution topography and constrained by lithology, climate, slope, and observed drainage density

Schneider

Jost

Coulon

et al. 2017

Geophysical Research Letters

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To improve the representation of surface and groundwater flows, global land surface models rely heavily on high‐resolution digital elevation models (DEMs). River pixels are routinely defined as pixels with drainage areas that are greater than a critical drainage area (Acr). This parameter is usually uniform across the globe, and the dependence of drainage density on many environmental factors is often overlooked. Using the 15″ HydroSHEDS DEM as an example, we propose the calibration of a spatially variable Acr as a function of slope, lithology, and climate, to match drainage densities from reference river networks at a 1:50,000 scale in France and Australia. Two variable Acr models with varying complexities were derived from the calibration, with satisfactory performances compared to the reference river networks. Intermittency assessment is also proposed. With these simple tools, river networks with natural heterogeneities at the 1:50,000 scale can be extracted from any DEM.

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Geology of the conterminous United States at 1:2,500,000 scale; a digital representation of the 1974 P.B. King and H.M. Beikman map

Cited by 34 publications

References 0 publications

Integrating Steel Production with Mineral Carbon Sequestration

Integrating Steel Production with Mineral Carbon Sequestration

The seismic structure beneath the Yellowstone Volcano Field from ambient seismic noise

Global‐scale river network extraction based on high‐resolution topography and constrained by lithology, climate, slope, and observed drainage density

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