UTM Well Coordinates for the Boise Hydrogeophysical Research Site (BHRS)
DOI
10.15121/1169015
Publicly accessible
License
A series of oscillatory pumping tests were performed at the BHRS. The data collected from these wells will be used to tomographically image the shallow subsurface. This excel file only contains well coordinates for all wells at the Boise site.
Citation Formats
University of Wisconsin. (2014). UTM Well Coordinates for the Boise Hydrogeophysical Research Site (BHRS) [data set]. Retrieved from https://dx.doi.org/10.15121/1169015.
Lim, David. UTM Well Coordinates for the Boise Hydrogeophysical Research Site (BHRS). United States: N.p., 19 Dec, 2014. Web. doi: 10.15121/1169015.
Lim, David. UTM Well Coordinates for the Boise Hydrogeophysical Research Site (BHRS). United States. https://dx.doi.org/10.15121/1169015
Lim, David. 2014. "UTM Well Coordinates for the Boise Hydrogeophysical Research Site (BHRS)". United States. https://dx.doi.org/10.15121/1169015. https://gdr.openei.org/submissions/470.
@div{oedi_3285, title = {UTM Well Coordinates for the Boise Hydrogeophysical Research Site (BHRS)}, author = {Lim, David.}, abstractNote = {A series of oscillatory pumping tests were performed at the BHRS. The data collected from these wells will be used to tomographically image the shallow subsurface. This excel file only contains well coordinates for all wells at the Boise site. }, doi = {10.15121/1169015}, url = {https://gdr.openei.org/submissions/470}, journal = {}, number = , volume = , place = {United States}, year = {2014}, month = {12}}
https://dx.doi.org/10.15121/1169015
Details
Data from Dec 19, 2014
Last updated Jun 27, 2017
Submitted Dec 22, 2014
Organization
University of Wisconsin
Contact
David Lim
Authors
Original Source
https://gdr.openei.org/submissions/470Research Areas
Keywords
geothermal, well coordinates, hydraulic tomography, characterization, Boise Hydrogephysical Research Site, subsurface, pumping test, pump test, oscillatory, location, metadataDOE Project Details
Project Name Poroelastic Tomography by Adjoint Inverse Modeling of Data from Seismology, Geodesy, and Hydrology
Project Lead Lauren Boyd
Project Number EE0006760
