Výsledky vyhledávání - "Glenn Hammond"

Akademický článek

Integrating Tide‐Driven Wetland Soil Redox and Biogeochemical Interactions Into a Land Surface Model

Autor: Benjamin N. Sulman, Jiaze Wang, Sophie LaFond‐Hudson, Theresa A. O’Meara, Fengming Yuan, Sergi Molins, Glenn Hammond, Inke Forbrich, Zoe G. Cardon, Anne Giblin

Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 16, Iss 4, Pp n/a-n/a (2024)

Abstract Redox processes, aqueous and solid‐phase chemistry, and pH dynamics are key drivers of subsurface biogeochemical cycling and methanogenesis in terrestrial and wetland ecosystems but are typically not included in terrestrial carbon cycle mo

Externí odkaz: https://doaj.org/article/67f0212f90d84813800e51165dbdb3b6

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Akademický článek

Scalable deep learning for watershed model calibration

Autor: Maruti K. Mudunuru, Kyongho Son, Peishi Jiang, Glenn Hammond, Xingyuan Chen

Publikováno v: Frontiers in Earth Science, Vol 10 (2022)

Watershed models such as the Soil and Water Assessment Tool (SWAT) consist of high-dimensional physical and empirical parameters. These parameters often need to be estimated/calibrated through inverse modeling to produce reliable predictions on hydro

Externí odkaz: https://doaj.org/article/228a2990ea8b47559c18c9ddb71dfbf6

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Akademický článek

Understanding Contaminant Migration Within a Dynamic River Corridor Through Field Experiments and Reactive Transport Modeling

Autor: Xingyuan Chen, John M. Zachara, Vince R. Vermuel, Glenn Hammond, Mark Freshley, Yilin Fang

Publikováno v: Frontiers in Water, Vol 2 (2020)

The behavior of a persistent uranium plume within an extended river corridor at the DOE Hanford site is dominantly controlled by river stage fluctuations in the adjacent Columbia River. The plume behavior is further complicated by substantial heterog

Externí odkaz: https://doaj.org/article/78b60c32107c40a794ea5d1279b4df44

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Akademický článek

Can Simple Machine Learning Tools Extend and Improve Temperature-Based Methods to Infer Streambed Flux?

Autor: Mohammad A. Moghaddam, Ty P. A. Ferré, Xingyuan Chen, Kewei Chen, Xuehang Song, Glenn Hammond

Publikováno v: Water, Vol 13, Iss 20, p 2837 (2021)

Temperature-based methods have been developed to infer 1D vertical exchange flux between a stream and the subsurface. Current analyses rely on fitting physically based analytical and numerical models to temperature time series measured at multiple de

Externí odkaz: https://doaj.org/article/7b5373dcb4d54db383266788f264a7da

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Voronoi Meshing to Accurately Capture Geological Structure in Subsurface Simulations

Autor: Tara LaForce, Mohamed Ebeida, Spencer Jordan, Terry A. Miller, Philip H. Stauffer, Heeho Park, Rosie Leone, Glenn Hammond

Publikováno v: Mathematical Geosciences. 55:129-161

Mesh generation lies at the interface of geological modeling and reservoir simulation. Highly skewed or very small grid cells may be necessary to accurately capture the geometry of geological features, but the resulting poorly scaled or small grid ce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::08785354177f3b66eac9e76a5fddf27b
https://doi.org/10.1007/s11004-022-10025-x

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Estimation of the Water Table Position in Unconfined Aquifers with MODFLOW 6

Autor: Paulo A. Herrera, Christian Langevin, Glenn Hammond

Publikováno v: Groundwater.

The numerical estimation of the position of the water table in unconfined aquifers is important for many practical applications. Its determination through observations or analytical methods is restricted to a few cases. Therefore, it is often estimat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7defdec672e645129fb6176bafe1517
https://doi.org/10.1111/gwat.13270

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