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Scientists with the U.S. Geological Survey and the New Mexico Bureau of Geology and Mineral Resources are estimating changes in the amount of groundwater stored in the Mesilla Basin aquifer by precisely measuring differences in the acceleration of gravity at several locations. The change in aquifer storage is an important component of the water budget. The microgravity survey will be repeated throughout 2016. The microgravity survey is part of a larger, long-term hydrologic monitoring program. The Mesilla Basin monitoring program is a cooperative effort between the USGS, the City of Las Cruces Utilities the New Mexico Office of the State Engineer, Interstate Stream Commission, New Mexico Environment Department,...
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This dataset contains absolute-gravity data collected by the USGS Southwest Gravity Program, a collaborative effort of the Arizona, California, and New Mexico Water Science Centers to monitor and model groundwater-storage change. Data were collected following the methods in "Procedures for Field Data Collection, Processing, Quality Assurance and Quality Control, and Archiving of Relative and Absolute-Gravity Surveys", U.S. Geological Survey Techniques and Methods book 2, chapter D4 . All data are reviewed and approved. Additional gravity data, including network-adjusted relative- and absolute-gravity data, may be available in ScienceBase Data Releases.Gravity data are provided as two files:sgp_agdb_stations_YYYY-MM-DD.csv...
The Big Chino sub-basin is a groundwater basin that includes the Verde River headwaters in Yavapai County in north-central Arizona. To monitor changes in groundwater storage and identify aquifer properties, a network of repeat microgravity stations and groundwater-level monitoring stations was established in 2010.
Network-adjusted gravity data are published in the following data release: Repeat microgravity data from Mesilla Valley, New Mexico, 2016-2017 Data collection is ongoing. Additional data releases will be published as necessary.
Published reports. Southwest Gravity Program bibliography: https://go.usa.gov/xNkQn IGETS bibliography (papers using superconducting-gravimeter data): http://igets.u-strasbg.fr/biblio.php
These are the QA/QC plans for gravity data collected by the USGS Southwest Gravity Program. The Absolute Gravity QA/QC plan is a final, internally-reviewed document. The gravity Techniques and Methods is a comprehensive draft, subject to revision, for carrying out relative and absolute gravity surveys. Comments are welcome and should be directed to Jeff Kennedy (jkennedy@usgs.gov).
Code and windows exectuable to accompany Hwang, C., Wang, C., and Lee, L., 2002, Adjustment of relative gravity measurements using weighted and datum-free constraints: Computers & Geosciences, v. 28, p. 1005–1015.
Network-adjusted gravity data are published in the following data release: Repeat microgravity data from Albuquerque and Bernalillo County, New Mexico, 2016-2017 Data collection is ongoing. Additional data releases will be published as necessary.
Most publications and presentations are available by contacting jkennedy@usgs.gov SGP website: https://www.usgs.gov/centers/arizona-water-science-center/science/southwest-gravity-program Absolute-Gravity Database: https://doi.org/10.5066/P984HN6J. Gravity Data Releases: https://www.sciencebase.gov/catalog/item/5910bebae4b0e541a03ac8f8 Time-lapse investigations and data Wildermuth, L.M., and Conrad, J.L., 2024, Monitoring aquifer-storage change from artificial recharge with repeat microgravity along Santa Cruz River, Tucson, Arizona, 2019–22: U.S. Geological Survey Scientific Investigations Report 2023–5115, 20 p., https://doi.org/10.3133/sir20235115. Kennedy, J.R., Bell, M.T., 2023, Measuring basin-scale aquifer...
GSadjust is a cross-platform graphical interface written in Python and PyQt for processing relative gravity surveys. It provides an interface for data selection, drift evaluation and correction, network adjustment, and integrating data from modern relative (Scintrex, ZLS) and absolute (Micro-g Lacoste) gravity meters. GSadjust is available at: https://github.com/jkennedy-usgs/sgp-gsadjust
The USGS Southwest Gravity Program carries out hydrologic investigations primarily in the southwestern United States.
As part of the USGS effort to monitor the Albuquerque regional aquifer, a network of repeat microgravity stations was established in 2015. Data collection consists of absolute and relative gravity surveys three times per year.
These Excel spreadsheets convert Lacoste And Romberg readings to gravity units based on the meter lookup table, perform drift correction, and calculate gravity differences between stations. For detailed instructions see the relative gravity QAQC plan. A simplified version for Burris meter data is also provided.
Categories: Data
Cattin, Rodolphe, Mazzotti, S., Baratin, L., 2015, GravProcess: An easy-to-use MATLAB software to process campaign gravity data and evaluate the associated uncertainties, Computers & Geosciences, vol. 81 , p. 20–27 We present GravProcess, a set of MATLAB routines to process gravity data from complex campaign surveys and calculate the associated gravity field. Data reduction, analysis, and representation are done using the MATLAB Graphical User Interface Tool, which can be installed on most systems and platforms. Data processing is divided into several steps: (1) Integration of gravity data, station location, and gravity line connection input files; (2) Gravity data reduction applying solid-Earth tide and instrumental...
This page lists software packages for processing gravity data. It does not include software intended primarily for subsurface modeling, e.g. GM-SYS. The USGS provides no warranty, expressed or implied, as to the correctness of the furnished software or the suitability for any purpose. The software has been tested, but as with any complex software, there could be undetected errors. Users who find errors are requested to report them to the USGS. The USGS has limited resources to assist non-USGS users; however, we make an attempt to fix reported problems and help whenever possible. GSadjust: Python GUI for processing relative-gravity data and network adjustment. Originally developed as PyGrav at the University of...
The All-American Canal (AAC) in southern Imperial County, California, has historically been unlined, resulting in substantial losses to seepage. In 2006, the Imperial Irrigation District (IID), under a contract with the United States Bureau of Reclamation (Reclamation), initiated a project to build a concrete-lined canal parallel to 23 miles of the earthen AAC. Construction was completed in 2010, and was estimated to conserve about 67,000 acre-feet per year of seepage. Since 2009, groundwater levels and groundwater storage in the vicinity of the canal have decreased substantially. Repeat microgravity measurements provide estimates of storage change independent of aquifer porosity or depth to water. Measurements...
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