ORCID Profile
0000-0002-0205-5430
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Publisher: American Geophysical Union (AGU)
Date: 08-2018
DOI: 10.1029/2018JF004660
Abstract: Groundwater specific storage varies by orders of magnitude, is difficult to quantify, and prone to significant uncertainty. Estimating specific storage using aquifer testing is h ered by the nonuniqueness in the inversion of head data and the assumptions of the underlying conceptual model. We revisit confined poroelastic theory and reveal that the uniaxial specific storage can be calculated mainly from undrained poroelastic properties, namely, uniaxial bulk modulus, loading efficiency, and the Biot‐Willis coefficient. In addition, literature estimates of the solid grain compressibility enables quantification of subsurface poroelastic parameters using field techniques such as cross‐hole seismic surveys and loading efficiency from the groundwater responses to atmospheric tides. We quantify and compare specific storage depth profiles for two field sites, one with deep aeolian sands and another with smectitic clays. Our new results require bulk density and agree well when compared to previous approaches that rely on porosity estimates. While water in clays responds to stress, detailed sediment characterization from a core illustrates that the majority of water is adsorbed onto minerals leaving only a small fraction free to drain. This, in conjunction with a thorough analysis using our new method, demonstrates that specific storage has a physical upper limit of m −1 . Consequently, if larger values are derived using aquifer hydraulic testing, then the conceptual model that has been used needs reappraisal. Our method can be used to improve confined groundwater storage estimates and refine the conceptual models used to interpret hydraulic aquifer tests.
Publisher: Public Library of Science (PLoS)
Date: 22-08-2018
Publisher: Elsevier BV
Date: 09-2021
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 12-2023
Publisher: Wiley
Date: 06-09-2020
DOI: 10.1002/HYP.13884
Publisher: Elsevier BV
Date: 03-2016
Publisher: American Geophysical Union (AGU)
Date: 04-2017
DOI: 10.1002/2016WR020311
Publisher: Wiley
Date: 02-07-2021
Publisher: Wiley
Date: 11-02-2022
Publisher: American Geophysical Union (AGU)
Date: 08-2015
DOI: 10.1002/2015JF003466
Publisher: IEEE
Date: 10-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2010
Publisher: Elsevier BV
Date: 04-2022
Publisher: Elsevier BV
Date: 08-2016
Publisher: Wiley
Date: 06-2017
DOI: 10.1002/HYP.11197
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 11-2023
Publisher: Elsevier BV
Date: 02-2009
Publisher: Elsevier BV
Date: 05-2019
Publisher: Optica Publishing Group
Date: 19-03-2009
DOI: 10.1364/OE.17.005298
Abstract: We report two-photon photocurrent in a GaAs/AlGaAs multiple quantum well laser at 1.55 microm. Using 1ps pulses, a purely quadratic photocurrent is observed. We measure the device efficiency, sensitivity, as well as the two-photon absorption coefficient. The results show that the device has potential for signal processing, autocorrelation and possibly two-photon source applications at sub-Watt power levels.
Publisher: Wiley
Date: 03-2023
DOI: 10.1002/HYP.14843
Abstract: Since its public release in late 2022, the artificial intelligence (AI) tool ChatGPT has generated considerable excitement and consternation. Many scientists, including hydrologists, view this tool and others like it as threats, while others dismiss them as irrelevant distractions. Although the capability of this technology to ‘do’ hydrological research is lacking, AI tools like ChatGPT present significant opportunities—with caveats—for the hydrology community and deserve close inspection by all.
Publisher: Elsevier BV
Date: 04-2020
DOI: 10.1016/J.CHEMOSPHERE.2019.125476
Abstract: Many chlorinated hydrocarbons have gained notoriety as persistent organic pollutants in the environment. Engineered and natural remediation efforts require a monitoring tool to track the progress of degradation processes. Compound-specific isotope analysis (CSIA) is a robust method to evaluate the origin and fate of contaminants in the environment and does not rely on concentration measurements. While carbon CSIA has established itself in the routine assessment of contaminated sites, studies incorporating chlorine isotopes have only recently become more common. Although some aspects of chlorine isotope analysis are more challenging than carbon isotope analysis, having additional isotopic data yields valuable information for contaminated site management. This review provides an overview of chlorine isotope fractionation of chlorinated contaminants in the subsurface by different processes and presents analytical techniques and unresolved challenges in chlorine isotope analysis. A summary of successful field applications illustrates the potential of using chlorine isotope data. Finally, approaches in modelling chlorine isotope fractionation due to degradation, diffusion, and sorption processes are discussed.
Publisher: Wiley
Date: 09-03-2016
DOI: 10.1002/HYP.10806
Publisher: Frontiers Media SA
Date: 31-07-2023
Publisher: American Geophysical Union (AGU)
Date: 26-11-2016
DOI: 10.1002/2016GL071328
No related grants have been discovered for Landon James Szasz Halloran.