Journal article
A novel construct for scaling groundwater–river interactions based on machine-guided hydromorphic classification
Environmental research letters, Vol.16(10), p.104016
10/01/2021
DOI: 10.1088/1748-9326/ac24ce
Abstract
Hydrologic exchange between river channels and adjacent subsurface environments is a key process that influences water quality and ecosystem function in river corridors. Predictive numerical models are needed to understand responses of river corridors to environmental change and to support sustainable watershed management. We posit that systematic hydromorphic classification provides a scaling construct that facilitates extrapolation of outputs from local-scale mechanistic models to reduced-order models applicable at reach and watershed scales. This in turn offers the potential to improve large-scale predictions of river corridor hydrobiogeochemical processes. Here we present a new machine-guided hydromorphic classification methodology that addresses the key requirements of this objective, and we demonstrate its application to a segment of the Columbia River in the northwestern United States. The resulting hydromorphic classes form spatially coherent and physically interpretable hydromorphic units that exhibit distinct behaviors in terms of distributions of subsurface transit times (a primary control on critical biogeochemical reactions). This approach forms the basis of ongoing research that is evaluating the formulation of reduced-order models and transferability of results to other river reaches and larger scales.
Details
- Title: Subtitle
- A novel construct for scaling groundwater–river interactions based on machine-guided hydromorphic classification
- Creators
- Zhangshuan Hou - Pacific Northwest National LaboratoryHuiying Ren - Pacific Northwest National LaboratoryChristopher J Murray - Pacific Northwest National LaboratoryXuehang Song - Pacific Northwest National LaboratoryYilin Fang - Pacific Northwest National LaboratoryEvan V Arntzen - Pacific Northwest National LaboratoryXingyuan Chen - Pacific Northwest National LaboratoryJames C Stegen - Pacific Northwest National LaboratoryMaoyi Huang - Pacific Northwest National LaboratoryJesus D Gomez-Velez - Vanderbilt UniversityZhuoran Duan - Pacific Northwest National LaboratoryWilliam A Perkins - Pacific Northwest National LaboratoryMarshall C Richmond - Pacific Northwest National LaboratoryTimothy D Scheibe - Pacific Northwest National Laboratory
- Resource Type
- Journal article
- Publication Details
- Environmental research letters, Vol.16(10), p.104016
- DOI
- 10.1088/1748-9326/ac24ce
- ISSN
- 1748-9326
- eISSN
- 1748-9326
- Publisher
- IOP Publishing
- Number of pages
- 10
- Grant note
- U.S. Department of Energy, Office of Science
- Language
- English
- Date published
- 10/01/2021
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9984962532002771
Metrics
1 Record Views