Correction to: Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey.

Autor: Van Metre PC; US Geological Survey, Austin, TX, USA. pcvanmet@usgs.gov., Qi S; US Geological Survey, Portland, OR, USA., Deacon J; US Geological Survey, Richmond, VA, USA., Dieter C; US Geological Survey, Baltimore, MD, USA., Driscoll JM; US Geological Survey, Lakewood, CO, USA., Fienen M; US Geological Survey, Madison, WI, USA., Kenney T; US Geological Survey, West Valley City, UT, USA., Lambert P; US Geological Survey, West Valley City, UT, USA., Lesmes D; US Geological Survey, Reston, VA, USA., Mason CA; US Geological Survey, Richmond, VA, USA., Mueller-Solger A; US Geological Survey, Sacramento, CA, USA., Musgrove M; US Geological Survey, Austin, TX, USA., Painter J; US Geological Survey, Norcross, GA, USA., Rosenberry D; US Geological Survey, Lakewood, CO, USA., Sprague L; US Geological Survey, Lakewood, CO, USA., Tesoriero AJ; US Geological Survey, Portland, OR, USA., Windham-Myers L; US Geological Survey, Menlo Park, CA, USA., Wolock D; US Geological Survey, Lawrence, KS, USA.

Publikováno v: Environmental monitoring and assessment [Environ Monit Assess] 2023 May 13; Vol. 195 (6), pp. 665. Date of Electronic Publication: 2023 May 13.

Groundwater Model Simulations of Stakeholder-Identified Scenarios in a High-Conflict Irrigated Area.

Autor: Kniffin M, Bradbury KR; Wisconsin Geological and Natural History Survey, 3817 Mineral Point Road, Madison, WI, 53705-5100b., Fienen M; U.S. Geological Survey, Upper Midwest Water Science Center, 8551 Research Way #120, Middleton, WI, 535624., Genskow K; Department of Planning and Landscape Architecture, University of Wisconsin-Madison, 112a Music Hall, 925 Bascom Mall, Madison, WI, 53706.

Publikováno v: Ground water [Ground Water] 2020 Nov; Vol. 58 (6), pp. 973-986. Date of Electronic Publication: 2020 Mar 01.

Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey.

Autor: Van Metre PC; US Geological Survey, Austin, TX, USA. pcvanmet@usgs.gov., Qi S; US Geological Survey, Portland, OR, USA., Deacon J; US Geological Survey, Richmond, VA, USA., Dieter C; US Geological Survey, Baltimore, MD, USA., Driscoll JM; US Geological Survey, Lakewood, CO, USA., Fienen M; US Geological Survey, Madison, WI, USA., Kenney T; US Geological Survey, West Valley City, UT, USA., Lambert P; US Geological Survey, West Valley City, UT, USA., Lesmes D; US Geological Survey, Reston, VA, USA., Mason CA; US Geological Survey, Richmond, VA, USA., Mueller-Solger A; US Geological Survey, Sacramento, CA, USA., Musgrove M; US Geological Survey, Austin, TX, USA., Painter J; US Geological Survey, Norcross, GA, USA., Rosenberry D; US Geological Survey, Lakewood, CO, USA., Sprague L; US Geological Survey, Lakewood, CO, USA., Tesoriero AJ; US Geological Survey, Portland, OR, USA., Windham-Myers L; US Geological Survey, Menlo Park, CA, USA., Wolock D; US Geological Survey, Lawrence, KS, USA.

Publikováno v: Environmental monitoring and assessment [Environ Monit Assess] 2020 Jun 27; Vol. 192 (7), pp. 458. Date of Electronic Publication: 2020 Jun 27.

DigitalCrust - a 4D Data System of Material Properties for Transforming Research on Crustal Fluid Flow

Autor: Fan, Y., Richard, S., Bristol, R. S., Peters, S. E., Ingebritsen, S. E., Moosdorf, N., Packman, A., Gleeson, T., Zaslavsky, I., Peckham, S., Murdoch, L., Fienen, M., Tarboton, David G., Jones, N., Hooper, Richard P., Arrigo, J., Gochis, D., Olson, J. R., Wolock, D.

Publikováno v: Civil and Environmental Engineering Faculty Publications

Fluid circulation in the Earth's crust plays an essential role in surface, near surface, and deep crustal processes. Flow pathways are driven by hydraulic gradients but controlled by material permeability, which varies over many orders of magnitude a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1459::03e318fd01fbbbb461861dde10f27c65
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=4639&context=cee_facpub

RoGeR v3.0.5 – a process-based hydrological toolbox model in Python.

Autor: Schwemmle, Robin¹ (AUTHOR) robin.schwemmle@hydrology.uni-freiburg.de, Leistert, Hannes¹ (AUTHOR), Steinbrich, Andreas¹ (AUTHOR), Weiler, Markus¹ (AUTHOR)

Publikováno v: Geoscientific Model Development. 2024, Vol. 17 Issue 13, p5249-5262. 14p.