Hydrologist
Office of Science Quality and Integrity
Email:
schavar@usgs.gov
Office Phone:
505-830-7900
Fax:
505-830-7998
ORCID:
0000-0001-8792-1010
Location
NMWSC-Edith Blvd
6700 Edith Blvd. NE
Albuquerque
, NM
87113
Supervisor:
Christopher J Johnson
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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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The Rio Grande is a vital water source for the southwestern States of Colorado, New Mexico, and Texas and for northern Mexico. The river serves as the primary source of water for irrigation in the region, has many environmental and recreational uses, and is used by more than 13 million people including those in the Cities of Albuquerque and Las Cruces, New Mexico; El Paso, Texas; and Ciudad Juárez, Chihuahua, Mexico. However, concern is growing over the increasing gap between water supply and demand in the Upper Rio Grande Basin. As populations increase and agricultural crop patterns change, demands for water are increasing, at the same time the region is undergoing a decrease in supply due to drought and climate...
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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 dataset contains input parameter and data files, as well as output files for simulations before calibration (pre-calibration) and after calibration (post-calibration) of solar radiation and potential evapotranspiration (ET) parameters. Simulated solar radiation and potential ET for nine near-native subbasins and three selected subareas [16, 71, 124] are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-calibration input parameters for the entire Upper Rio Grande Basin developed from the National Hydrologic Model (NHM) parameter database, and model parameters after calibration (post-calibration)...
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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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