A fully coupled numerical modeling for regional unsaturated–saturated water flow

Zhu, Yan; Shi, Liangsheng; Lin, Lin; Yang, Jinzhong; Ye, Ming

doi:10.1016/j.jhydrol.2012.09.048

Cited by 59 publications

(35 citation statements)

References 19 publications

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“…As an important natural phenomenon, groundwater table fluctuations in coastal unconfined aquifers have been widely examined via field investigations (Austin et al, 2013;Cao et al, 2012;Horn, 2006), numerical simulations (Cartwright et al, 2006;Kong et al, 2010;Zhu et al, 2012), analytical solutions (Jeng et al, 2005;Jiao and Tang, 1999;Nielsen et al, 1997;Teo et al, 2003) and various studies incorporating different methods (Guo et al, 2010;Li et al, 2008Li et al, , 2000aLi and Jiao, 2003;Song et al, 2007;Stojsavljevic et al, 2012). Because analytical solutions can provide directly mechanistic insights into groundwater table fluctuations, this approach has been the focus of numerous recent investigations (Horn, 2006).…”

Section: Introductionmentioning

confidence: 99%

Effects of vadose zone on groundwater table fluctuations in unconfined aquifers

Kong

Xin

et al. 2015

Journal of Hydrology

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Section: Introductionmentioning

confidence: 99%

Effects of vadose zone on groundwater table fluctuations in unconfined aquifers

Kong

Xin

et al. 2015

Journal of Hydrology

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“…When the soil moisture is above s fc , the soil moisture dynamics can be affected by the interaction between water in the crop root zone (unsaturated zone) and groundwater (saturated zone) (Zhu et al, ; Zhu et al, ), and the relationship between ENG‐resilience and ESM needs to be modified accordingly. The impact of interaction between the saturated and unsaturated zones can be characterized by the depth of the water table, i.e., a shallower water table indicates a larger reduction in the deep percolation.…”

Section: The Properties Of the Smr Resiliencementioning

confidence: 99%

Understanding the Resilience of Soil Moisture Regimes

Feng

Liu

Cai

et al. 2019

Water Resources Research

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Resilience of soil moisture regimes (SMRs) describes the stability of a particular SMR and its ability to withstand disturbances. This study analyzes the resilience of SMRs with quantifiable ecological (ECO‐) and engineering (ENG‐) metrics for a stochastic dynamic soil moisture system. The SMR is defined by the stationary state, described by a stationary probability distribution function (pdf), of the soil moisture dynamical system, and further classified into arid, semiarid, semiwet, and wet classes. Applying the stationary pdf of soil moisture dynamics derived by Rodriguez‐Iturbe et al. (1999, https://doi.org/10.1098/rspa.1999.0477) and Laio, Porporato, Ridolfi, et al. (2001, https://doi.org/10.1016/S0309-1708(01)00005-7), the ENG‐ and ECO‐ resilience metrics of the various SMRs are quantified. We show that the recovery rate of soil moisture is a convex function of the expected soil moisture at the stationary state―the recovery rate reaches a minimum value at some intermediate soil moisture status. We also show that the maximum acceptable changes in the infiltration condition indicate the capacity of a system to avoid possible regime shifts. SMR shifts are characterized by phenomena of stagnation and hysteresis, which suggest two distinct thresholds for SMR shifts and their reversions. In particular, the semiwet SMR that is favorable to agriculture requires stricter infiltration conditions than other SMRs. This resilience analysis provides better understanding of how natural hydrological conditions control soil moisture, which helps provide guidance on maintaining SMRs suitable for agricultural activities and desertification prevention.

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“…In the unsaturated zone, lateral flow rates are assumed to be zero and only vertical flow occurs, a common assumption for the unsaturated zone [ Zhu et al ., ]. The division between the unsaturated and saturated zones represents hydrological dynamics in the soil layer where water is sufficient to form lateral flow into the stream.…”

Section: Rt‐flux‐pihmmentioning

confidence: 99%

Understanding watershed hydrogeochemistry: 1. Development of RT‐Flux‐PIHM

Bao

Shi

et al. 2017

Water Resources Research

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Model development in hydrology and geochemistry has been advancing separately with limited integration. We developed a watershed hydrogeochemical code RT‐Flux‐PIHM to understand complex interactions between hydrological processes (PIHM), land‐surface processes (FLUX—Noah Land Surface Model), and multicomponent subsurface reactive transport (RT). The RT module simulates geochemical processes including aqueous complexation, surface complexation, mineral dissolution and precipitation, and cation exchange. The RT module is verified against the widely used reactive transport code CrunchFlow. The code uses semidiscrete finite volume method and irregular gridding and offers data harvesting capabilities from national databases. The application of RT‐Flux‐PIHM is demonstrated in the Susquehanna Shale Hills Critical Zone Observatory (SSHCZO). We aim to understand key processes that govern hydrogeochemical dynamics of the nonreactive chloride and reactive magnesium. Simulation results indicate that watershed characteristics, in particular topography, dictate the spatial distributions of water content and soil dissolution rates. Ion exchange provides buffering capacities and leads to a hysteresis loop of concentration and discharge relationship of magnesium, which differs from the open hysteresis of chloride. RT‐Flux‐PIHM offers physics‐based modeling capabilities to integrate the vast amount of water and chemistry data that have now become available, to differentiate the relative importance of competing processes, and to test hypotheses at the interface of hydrology and geochemistry.

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A fully coupled numerical modeling for regional unsaturated–saturated water flow

Cited by 59 publications

References 19 publications

Effects of vadose zone on groundwater table fluctuations in unconfined aquifers

Effects of vadose zone on groundwater table fluctuations in unconfined aquifers

Understanding the Resilience of Soil Moisture Regimes

Understanding watershed hydrogeochemistry: 1. Development of RT‐Flux‐PIHM

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