The Numerical Formulation of Simple Hysteretic Models to Simulate the Large‐Scale Hydrological Impacts of Prairie Depressions

Clark, Martyn P.; Shook, Kevin

doi:10.1029/2022wr032694

Cited by 5 publications

(3 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, care must be taken with models that aggregate the bulk response of a wetland complex by representation as a single equivalent wetland (e.g., Liu et al, 2008;Yang et al, 2010); the emergent upscaled response could not be emulated using a single wetland, regardless of whether effective parameterization or calibration is used. This finding is consistent with other studies (e.g., Clark and Shook, 2022;Evenson et al, 2016;Pomeroy et al, 2014;Shook and Pomeroy, 2011) which emphasize that for modeling complex fill-and-spill dynamics in wetlands, a single "equivalent wetland" is insufficient. The capability of the UWFS model to consider the effects of local contributing area of wetlands and wetland cascading depth increases the ability of hydrological models to account for dynamics of fill-and-spill process in wetland complexes.…”

Section: Sensitivity Analysissupporting

confidence: 92%

An Upscaled Model of Fill‐And‐Spill Hydrological Response

Taheri

Ranjram

Craig

2023

Water Resources Research

View full text Add to dashboard Cite

The hydrology of wetland‐dominated landscapes is often controlled by a fill‐and‐spill mechanism, whereby surface depressions retain water and release it once a deficit is filled. The response of these systems to precipitation/snowmelt events is influenced by the local storage deficit and connectivity between storage features. To estimate runoff generated from a heterogeneous wetland complex, a closed‐form analytical upscaled probabilistic model is developed. The mathematical solution requires information on the distribution of initial deficits and wetland local contributing areas, which may be estimated via a combination of spatial analysis and field observation. The model is used to explore the influence of spatial heterogeneity of wetland properties including deficit depth, local contributing area, and cascade depth (the number of wetlands in‐series within a cascade) on runoff response. It is also used to clarify “gatekeeper” storage features role at large scales and for systems with shallow wetland cascade depths. The proposed solution is shown to be a generalization of the well‐known Probability Distributed Model and Xinanjiang runoff models, augmented to include information about local contributing areas and wetlands connectivity. The closed form probabilistic mathematical solution is verified by comparing results with Monte Carlo simulations. The proposed runoff model has been implemented in Raven, a hydrologic model, to test the method performance in lumped runoff simulation of wetland‐dominated basins influenced by fill‐and‐spill hydrology. This study can contribute to our understanding of wetland characteristics distribution on landscape hydrology, and compensate for insufficiently resolved elevation data in flat terrains where threshold criteria are hard to estimate.

show abstract

Section: Sensitivity Analysissupporting

confidence: 92%

An Upscaled Model of Fill‐And‐Spill Hydrological Response

Taheri

Ranjram

Craig

2023

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…This forms a complicated hydrological condition, in which the hydrologic responses heavily depend on landscape feature detail (Fang et al, 2007;van der Kamp et al, 2003;Spence, 2010), and are subject to nonlinear hysteresis (Shook and Pomeroy, 2011). With few exceptions (Clark and Shook, 2022), current hydrological models do not represent dominant hydrological processes in prairie landscapes and fail in reproducing the observed runoff. Here we attempted to maximize the use of observed gauge information (Table S1) by implementing a data-driven reconstruction scheme.…”

Section: Streamflow Reconstruction Schemementioning

confidence: 99%

Comment on egusphere-2024-1503

2024

View full text Add to dashboard Cite

Section: Streamflow Reconstruction Schemementioning

confidence: 99%

Novel Statistical Analysis Illustrates Importance of Flow Source for Extreme Variation in Dissolved Organic Carbon in a Eutrophic Reservoir in the Great Plains

Baron,

Baulch,

Nazemi

et al. 2024

Preprint

View full text Add to dashboard Cite

Abstract. Long-term dissolved organic carbon (DOC) trends have been observed across many regions of the Northern Hemisphere, yet the drivers of these trends are not universal. Elevated DOC concentrations are a major concern for drinking water treatment plants that draw from freshwaters, owing to effects on disinfection byproduct formation, risks of bacterial regrowth in water distribution systems, and increasing treatment costs. Using a unique 30-year data set encompassing both extreme wet and dry conditions in a eutrophic drinking water reservoir in the Great Plains of North America, we investigate the effects of changing source water and in-lake water chemistry on DOC. Using wavelet coherence analyses and generalized additive models of DOC, we find DOC concentration was significantly coherent with flow from a large upstream mesotrophic reservoir. DOC was also coherent with sulfate, total phosphorus, ammonium, and chlorophyll a concentrations across the 30-year record. These variables accounted for 56 % of the deviance in DOC from 1990 to 2019, suggesting that water source and in-lake nutrient and solute chemistry are effective predictors of DOC concentration. Clearly, climate and changes in water and catchment management will influence source water quality in this already water-scarce region. Our results highlight the importance of flow management to shallow eutrophic reservoirs. They also highlight a key challenge where wet periods can exacerbate water quality issues and these effects can be compounded by reducing inflows from systems with lower DOC. These flow management decisions address water level and flood risk concerns but have important impacts on drinking water treatability.

show abstract

The Numerical Formulation of Simple Hysteretic Models to Simulate the Large‐Scale Hydrological Impacts of Prairie Depressions

Cited by 5 publications

References 79 publications

An Upscaled Model of Fill‐And‐Spill Hydrological Response

An Upscaled Model of Fill‐And‐Spill Hydrological Response

Comment on egusphere-2024-1503

Novel Statistical Analysis Illustrates Importance of Flow Source for Extreme Variation in Dissolved Organic Carbon in a Eutrophic Reservoir in the Great Plains

Contact Info

Product

Resources

About