Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Matthew J. Knowling"'
Autor:
Lee A. Chambers, Brioch Hemmings, Simon C. Cox, Catherine Moore, Matthew J. Knowling, Kevin Hayley, Jens Rekker, Frédérique M. Mourot, Phil Glassey, Richard Levy
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Over the next century, coastal regions are under threat from projected rising sea levels and the potential emergence of groundwater at the land surface (groundwater inundation). The potential economic and social damages of this largely unseen, and of
Externí odkaz:
https://doaj.org/article/d95a7f1c58854322987de32d270ef784
Publikováno v:
Frontiers in Earth Science, Vol 8 (2020)
Effective decision making for resource management is often supported by combining predictive models with uncertainty analyses. This combination allows quantitative assessment of management strategy effectiveness and risk. Typically, history matching
Externí odkaz:
https://doaj.org/article/7e0bbeaba7a944f682b7249d9066682e
Autor:
Jeremy T. White, Linzy K. Foster, Michael N. Fienen, Matthew J. Knowling, Brioch Hemmings, James R. Winterle
Publikováno v:
Frontiers in Earth Science, Vol 8 (2020)
A fully worked example of decision-support-scale uncertainty quantification (UQ) and parameter estimation (PE) is presented. The analyses are implemented for an existing groundwater flow model of the Edwards aquifer, Texas, USA, and are completed in
Externí odkaz:
https://doaj.org/article/778aba2345554934a136a01fb314f4ab
Autor:
Matthew J. Knowling, Jeremy T. White, Dylan Grigg, Cassandra Collins, Seth Westra, Rob R. Walker, Anne Pellegrino, Bertram Ostendorf, Bree Bennett, Ayman Alzraiee
Publikováno v:
Agricultural and Forest Meteorology. 338:109502
Autor:
Matthew J. Knowling, Rob R. Walker, Anne Pellegrino, Everard J. Edwards, Seth Westra, Cassandra Collins, Bertram Ostendorf, Bree Bennett
Publikováno v:
Agricultural Water Management. 280:108225
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 1677-1689 (2020)
It has been advocated that history matching numerical models to a diverse range of observation data types, particularly including environmental tracer concentrations and their interpretations and derivatives (e.g., mean age), constitutes an effective
Publikováno v:
Environmental Modelling & Software. 156:105498
Publikováno v:
Advances in Water Resources. 128:59-73
The degree with which to parameterize a computer model that is to be used for risk-based resource management decision support has been a topic of much discussion in the environmental modeling industry, and remains a difficult choice facing practition
Publikováno v:
Environmental Modelling & Software. 150:105284
Autor:
Peter G. Cook, Matthew J. Knowling, Daniel Partington, Takuya Iwanaga, Yueqing Xie, Camille Bouchez, Craig T. Simmons
Publikováno v:
Journal of Hydrology
Journal of Hydrology, 2020, 590, pp.125441. ⟨10.1016/j.jhydrol.2020.125441⟩
Journal of Hydrology, Elsevier, 2020, 590, pp.125441. ⟨10.1016/j.jhydrol.2020.125441⟩
Journal of Hydrology, 2020, 590, pp.125441. ⟨10.1016/j.jhydrol.2020.125441⟩
Journal of Hydrology, Elsevier, 2020, 590, pp.125441. ⟨10.1016/j.jhydrol.2020.125441⟩
International audience; This study assesses the worth of routinely collected hydraulic data (groundwater head, stream stage and streamflow) and lesser collected water chemistry data (Radon-222, Carbon-14, electrical conductivity (EC)) in the context
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27913c106843d0335ee409082ff4bf56
https://insu.hal.science/insu-02935694/file/partington-2020.pdf
https://insu.hal.science/insu-02935694/file/partington-2020.pdf