Mineral resources are the essential raw materials of modern society, powering the production of advanced technologies including the expansion of renewable energy infrastructure. The United States is heavily dependent on mineral imports. Many of these sources are unstable, and their interruption can disrupt important industrial and high technology supply chains. Therefore, the U.S. Geological Survey (USGS) recently designated 50 elements and compounds as “critical minerals” and launched the Earth Mapping Resource Initiative (EMRI) to systematically increase knowledge of the distribution and concentration of these essential resources. The Department of Energy (DOE) began a complimentary effort with the Carbon Ore, Rare Earth and Critical Minerals Initiative (CORE-CM) particularly focused on recovery of critical minerals from byproducts of the extraction and industrial use of coal. This workshop will explore recent efforts from both the CORE-CM and EarthMRI programs to evaluate critical mineral resources in and around the Illinois Basin, demonstrate separation technologies of these resources, and employ associated resources such as carbon to manufacture high-value products.

The data set contains information about the TEM images of hydrochar alone, with phosphate (b), and with montmorillonite (c) at a pH of 6.0; SEM images of hydrochar alone (a, b), with montmorillonite (c, d), and with a combination of montmorillonite and phosphate (e, f) and the corresponding EDX spectra (g, h) at a pH of 6.0 (a, c, e, g) and 9.0 (b, d, f, h); .Capillary pressure curves (a,b) and pore size distribution determined by means of mercury intrusion porosimetry (MIP) (c,d) for the hydrochar samples prepared at pH 6.0 (a,c) and 9.0 (b,d); .FTIR spectra of the synthesized hydrochar in solutions with different pH values; Zeta potentials of hydrochar with and without montmorillonite (M) and/or phosphate (P), quartz sand and aluminum oxide-coated sand in a 10 mM NaCl solution as a function of the pH (a) and the concentrations of NaCl solution at pH 6.0 (b) and 9.0 (c); .Hydrodynamic radius of hydrochar with and without montmorillonite (M) in the absence or presence of phosphate (P) under different NaCl concentrations at pH 6.0 (a) and 9.0 (b); Observed (dots) and fitted (lines) breakthrough curves (BTCs) of 0.2 g L-1 hydrochar under different NaCl concentrations in uncoated sand (a, b) and aluminum oxide-coated sand (c, d) at pH 6.0 (a, c) and 9.0 (b, d), respectively. This dataset is associated with the following publication: Yang, J., M. Chen, H. Yang, N. Xu, G. Feng, Z. Li, C. Su, and D. Wang. Surface Heterogeneity Mediated Transport of Hydrochar Nanoparticles in Heterogeneous Porous Media. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg, GERMANY, 27(26): 32842-32855, (2020).

This dataset shows Near Surface Nitrate Susceptibility. Pollution Impact Potential (PIP) maps were generated separately for nitrate and phosphate to rank critical source areas (CSAs) relative to one another from diffuse agriculture for both the groundwater and surface water receptor. The PIP maps are generated by the EPA Catchment Characterisation Tool (CCT). The CCT delineates the CSAs displayed in the PIP maps by overlaying the hydro(geo)logically susceptible areas (the likelihood of nutrient transfer due to soil and geological properties along the near surface and/or subsurface pathway) with nitrate or phosphate loadings. The nitrate and phosphate PIP maps for the surface water receptor combine the contribution from both the subsurface pathway and the near surface pathway while the groundwater receptor maps only consider the contribution from the groundwater pathway. Surface Water Receptor Nitrate PIP map shows the relative pollution impact potential to surface water along the subsurface and near surface pathways due to nitrate loading. This map should be used to evaluate nutrient impact at the waterbody, subcatchment or catchment scale (at a resolution of less than 1:20,000). Pollution impact potential (PIP) maps rank the CSAs in descending order of risk (where Rank 1 is the highest risk) and are available for the surface water receptor for nitrate and phosphate, and the groundwater receptor for nitrate. Local pressure data has been used to generate the maps in agricultural areas where available. For urban, forestry and the remaining agricultural areas, regional sources of pressure data have been used; these areas are marked 'using regional loadings' on the PIP maps.

Average concentrations in 2014 for Phosphate (mg/lP) in samples from monitoring locations on the Irish Environmental Protection Agency Water Framework Directive (WFD) Groundwater Monitoring Network.

From the site: "Location, geologic characteristics, and commodities for 1,635 phosphate mines, deposits, or occurrences worldwide"