Hydrologist
New Mexico Water Science Center
Email:
gball@usgs.gov
Office Phone:
505-830-7960
Fax:
505-830-7998
ORCID:
0000-0003-3030-055X
Location
NMWSC-Edith Blvd
6700 Edith Blvd NE
Albuquerque
, NM
87113
US
Supervisor:
Andrew J Robertson
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The San Juan Generating Station in Waterflow, NM, owned by the Public Service Company of New Mexico (PNM) is a coal-fired power plant that operates on coal mined on the same property. This plant is scheduled to shut down in 2022. In light of this impending closure, the Bureau of Reclamation (Reclamation) is interested in purchasing the plant's raw-water reservoir for use in the Navajo-Gallup Water Supply Project (NGWSP). Concerns about contamination leaking from the reservoir or being mobilized by groundwater flow affected by the leaking reservoir have resulted in Reclamation eliciting a short study of the water and sediment chemistry surrounding the reservoir and the recovery system set up by PNM. The U.S. Geological...
Categories: Data;
Tags: Geochemistry,
San Juan Generating Station, water chemistry, leachate chemistry,
Sedimentology,
USGS Science Data Catalog (SDC),
Water Resources, All tags...
Waterflow, NM; Farmington, NM, Fewer tags
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This child page contains FracFocus Fluid Data regarding the volume of water used during the hydrualic fracturing of oil wells for the Permian Basin, New Mexico and Texas, 2009-2019, for use as input data for the model associated with the Scientific Investigations Report "Estimates of Water Use Associated with Continuous Oil and Gas Development in the Permian Basin, Texas and New Mexico, 2010–2019" (Valder and others, 2021). All data points that met the filtering criteria as described in the Data Processing <procdesc> steps were retained in the data release. Further filtering of data points to remove unrealistic values was done prior to modeling. The model was used to estimate water use associated with continuous...
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This dataset contains projected climate data (precipitation, maximum temperature, minimum temperature) from 27 climate scenarios used as input to the Precipitation-Runoff Modeling System (PRMS), and baseline PRMS simulated streamflow at 63 sites in the Upper Rio Grande Basin under each of the 27 scenarios. Projected climate data, obtained from the USGS South Central Climate Adaptation Science Center (Wooten, 2020), were generated using three general circulation models, run under three emission scenarios (RCP 2.6, RCP 4.5, RCP 8.5), and downscaled using three different methods (delta SD, equidistant quantile mapping, piecewise asynchronous regression). Together, the three models, RCPs, and downscaling methods resulted...
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This child page contains the IHS Markit Water Treatment data for the Permian Basin, New Mexico and Texas, 2000-2019, for use as input data for the model associated with the Scientific Investigations Report "Estimates of Water Use Associated with Continuous Oil and Gas Development in the Permian Basin, Texas and New Mexico, 2010–2019" (Valder and others, 2021). All data points that met the filtering criteria as described in the Data Processing <procdesc> steps were retained in the data release. Further filtering of data points to remove unrealistic values was done prior to modeling. The model was used to estimate water use associated with continuous oil and gas development in the Permian Basin, Texas and New Mexico,...
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The Rangeland Hydrologic Erosion Model (RHEM) is an online model developed by the United States Department of Agriculture that is used to predict erosion and runoff in rangelands. The model was used to determine runoff and erosion predicitions for five different scenarios in the Organ Mountains-Desert Peaks National Monument. The five scenarios that RHEM was used to look at in the monument include current conditions as of 2016; climate variability; scrub encroachment; drought, heavy grazing, or land-use pressure; and vegetation removal. The inputs for each scenario were created using an R script and compiled into separate csv files. For the purpose of this data release, the five csv files were then compiled into...
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