Groundwater issues in hard rock & geophysics

2015 ◽  
pp. 1-11
Keyword(s):  
Hard Rock

GEOCHEMICAL MODELING OF HARD-ROCK MINE DRAINAGE AND MINE-IMPACTED WATERS

2019 ◽  
Author(s):  
Kate M. Campbell ◽  
◽  
Charles N. Alpers ◽  
Christy L. Grettenberger ◽  
Thomas N Wallis ◽  
...  
Keyword(s):  
Hard Rock ◽  
Mine Drainage ◽  
Geochemical Modeling

scholarly journals Quantification of Elemental Contaminants in Unregulated Water across Western Navajo Nation

2019 ◽  
Vol 16 (15) ◽  
pp. 2727 ◽  
Author(s):  
Jonathan Credo ◽  
Jaclyn Torkelson ◽  
Tommy Rock ◽  
Jani C. Ingram
Keyword(s):  
Native American ◽  
New Mexico ◽  
Hard Rock ◽  
Water Systems ◽  
American Southwest ◽  
Western United States ◽  
Navajo Nation ◽  
Hard Rock Mining ◽  
Rock Mining ◽  
American Nation

The geologic profile of the western United States lends itself to naturally elevated levels of arsenic and uranium in groundwater and can be exacerbated by mining enterprises. The Navajo Nation, located in the American Southwest, is the largest contiguous Native American Nation and has over a 100-year legacy of hard rock mining. This study has two objectives, quantify the arsenic and uranium concentrations in water systems in the Arizona and Utah side of the Navajo Nation compared to the New Mexico side and to determine if there are other elements of concern. Between 2014 and 2017, 294 water samples were collected across the Arizona and Utah side of the Navajo Nation and analyzed for 21 elements. Of these, 14 elements had at least one instance of a concentration greater than a national regulatory limit, and six of these (V, Ca, As, Mn, Li, and U) had the highest incidence of exceedances and were of concern to various communities on the Navajo Nation. Our findings are similar to other studies conducted in Arizona and on the Navajo Nation and demonstrate that other elements may be a concern for public health beyond arsenic and uranium.

scholarly journals Research on the Mechanical Properties of Hard Rock

2018 ◽  
Vol 417 ◽  
pp. 012003
Author(s):  
Longyun Zhang ◽  
Shucai Li ◽  
Shangyang Yang ◽  
Qiangyong Zhang
Keyword(s):  
Mechanical Properties ◽  
Hard Rock

scholarly journals Estimation of recharge in mountain hard-rock aquifers based on discrete spring discharge monitoring during base-flow recession

2021 ◽  
Author(s):  
Stefano Segadelli ◽  
Maria Filippini ◽  
Anna Monti ◽  
Fulvio Celico ◽  
Alessandro Gargini
Keyword(s):  
Hard Rock ◽  
Monitoring Program ◽  
Base Flow ◽  
Low Flow ◽  
Reliable Estimate ◽  
Spring Discharge ◽  
Aquifer Recharge ◽  
Clear Cut ◽  
Groundwater Circulation ◽  
Hard Rock Aquifers

AbstractEstimation of aquifer recharge is key to effective groundwater management and protection. In mountain hard-rock aquifers, the average annual discharge of a spring generally reflects the vertical aquifer recharge over the spring catchment. However, the determination of average annual spring discharge requires expensive and challenging field monitoring. A power-law correlation was previously reported in the literature that would allow quantification of the average annual spring discharge starting from only a few discharge measurements in the low-flow season, in a dry summer climate. The correlation is based upon the Maillet model and was previously derived by a 10-year monitoring program of discharge from springs and streams in hard-rock aquifers composed of siliciclastic and calcareous turbidites that did not have well defined hydrogeologic boundaries. In this research, the same correlation was applied to two ophiolitic (peridotitic) hard-rock aquifers in the Northern Apennines (Northern Italy) with well-defined hydrogeologic boundaries and base-outflow springs. The correlation provided a reliable estimate of the average annual spring discharge thus confirming its effectiveness regardless of bedrock lithology. In the two aquifers studied, the measurable annual outputs (i.e. sum of average annual spring discharges) could be assumed equal to the annual inputs (i.e. vertical recharge) based on the clear-cut aquifer boundaries and a quick groundwater circulation inferable from spring water parameters. Thus, in such setting, the aforementioned correlation also provided an estimate of the annual aquifer recharge allowing the assessment of coefficients of infiltration (i.e. ratio between aquifer recharge and total precipitation) ranging between 10 and 20%.

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