Verrot, Lucile, Geris, Josie, Gao, L et al. (6 more authors) (2019) A Simple Modelling Framework for Shallow Subsurface Water Storage and Flow. Water. 1725. ISSN 2073-4441
Abstract
Water storage and flow in shallow subsurface drives runoff generation, vegetation water use and nutrient cycling. Modelling these processes under non-steady state conditions is challenging, particularly in regions like the subtropics that experience extreme wet and dry periods. At the catchment-scale, physically-based equations (e.g., Richards equation) are impractical due to their complexity, while conceptual models typically rely on steady state assumptions not found in daily hydrological dynamics. We addressed this by developing a simple modelling framework for shallow subsurface water dynamics based on physical relationships and a proxy parameter for the fluxes induced by non-unit hydraulic gradients. We demonstrate its applicability for six generic soil textures and for an Acrisol in subtropical China. Results showed that our new approach represents top soil daily fluxes and storage better than, and as fast as, standard conceptual approaches. Moreover, it was less complex and up to two orders of magnitude faster than simulating Richards equation, making it easy to include in existing hydrological models.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2019 by the authors. |
Keywords: | hydrological modelling,soil water content,soil water fluxes,vadose zone,non-unit hydraulic gradient,transient state |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Environment and Geography (York) |
Funding Information: | Funder Grant number NATURAL ENVIRONMENT RESEARCH COUNCIL NE/N007484/1 |
Depositing User: | Pure (York) |
Date Deposited: | 17 Sep 2019 08:30 |
Last Modified: | 16 Oct 2024 16:01 |
Published Version: | https://doi.org/10.3390/w11081725 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.3390/w11081725 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:150842 |
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Filename: Verrot_et_al_2019_Water_11_1725.pdf
Description: Verrot et al (2019) Water 11 1725
Licence: CC-BY 2.5