Development of monthly naturalized flow using Water Rights Analysis Package (WRAP)-based methods

Kim, Tae Jin; Wurbs, Ralph A.

doi:10.1007/s12205-011-1184-y

Cited by 12 publications

(4 citation statements)

References 6 publications

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“…Ideally, estimates of naturalized flow (Kim and Wurbs, 2011) would augment USGS depleted flows as a comparator. However, these estimates are model-based and not available for the WRRs and analysis period considered here.…”

Section: Resultsmentioning

confidence: 99%

A model–data intercomparison of simulated runoff in the contiguous United States: results from the North America Carbon Regional and Continental Interim-Synthesis

Schwalm

Huntinzger

Cook

et al. 2014

Preprint

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Abstract. Significant changes in the water cycle are expected under current global environmental change. Robust assessment of these changes at global scales is confounded by shortcomings in the observed record. Modeled assessments yield conflicting results which are linked to differences in model structure and simulation protocol. Here we compare simulated runoff from six terrestrial biosphere models (TBMs), five reanalysis products, and one gridded surface station product with observations from a network of stream gauges in the contiguous United States (CONUS) from 2001 to 2005. We evaluate the consistency of simulated runoff with stream gauge data at the CONUS and water resource region scale, as well as examining similarity across TBMs and reanalysis products at the grid cell scale. Mean runoff across all simulated products and regions varies widely (range: 71–356 mm yr-1) relative to observed continental-scale runoff (209 mm yr-1). Across all 12 products only two are within 10% of the observed value and only four exhibit Nash–Sutcliffe efficiency values in excess of 0.8. Region-level mismatch exhibits a weak pattern of overestimation in western and underestimation in eastern regions; although two products are systematically biased across all regions. In contrast, bias in a temporal sense, within region by water year, is highly consistent. Although gridded composite TBM and reanalysis runoff show some regional similarities for 2001–2005 with CONUS means, individual product values are highly variable. To further constrain simulated runoff and to link model-observation mismatch to model structural characteristics would require watershed-level simulation studies coupled with river routing schemes, standardized forcing data, and explicit consideration of water cycle management.

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Section: Resultsmentioning

confidence: 99%

A model–data intercomparison of simulated runoff in the contiguous United States: results from the North America Carbon Regional and Continental Interim-Synthesis

Schwalm

Huntinzger

Cook

et al. 2014

Preprint

View full text Add to dashboard Cite

show abstract

“…Pre‐developed naturalized flows may be derived from historical USGS flow data that have been modified to account for the influences of historical withdrawals and discharges. Naturalized flow records may also be available from efforts focused on site‐specific water planning (Kim and Wurbs, ). Regardless of the model or data source employed, Water Prism requires the input of available water for each river segment defined in the hydraulic network.…”

Section: Methodsmentioning

confidence: 97%

Water Prism: A Tool to Assess Water Availability Risk and Investigate Water Management Strategies

Weintraub¹,

Tao²,

Redder³

2017

J American Water Resour Assoc

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Water availability risk is a local issue best understood with watershed‐scale quantification of both withdrawal and consumptive demands in the context of available supply. Collectively, all water use sectors must identify, understand, and respond to this risk. A highly visual and computationally robust decision support tool, Water Prism, quantitatively explores mitigation responses to water risk on both a facility‐level and basin‐aggregated basis. Water Prism examines a basin water balance for a 40‐ to 60‐year planning horizon, distinguishes among water use sectors, and accounts for ecosystem water needs. The 2012 Texas State Water Plan was used to apply Water Prism to the Big Cypress‐Sulphur Basin (Texas). The case study showed Water Prism to be an accurate and convenient tool to provide fine‐scale understanding of water use in the context of available supply, evaluate multi‐sector combinations of conservation strategies, and quantify the effects of future demands and water availability. Analyses demonstrated water availability risks for rivers and reservoirs can vary within a basin and must be calculated independently, simulation of water balance conditions can help illuminate potential impacts of increasing demands, and scenario simulations can be used to evaluate relative conservation efficacy of different water resource management strategies for each sector. Based on case study findings, Water Prism can serve as a useful assessment tool for regional water planners.

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“…The “naturalized flows” represent the flows that would have been observed in the absence of any anthropogenic impact on the basin. These have been used for assessing the sustainable yield of the reservoirs toward multiple purposes (Kim & Wurbs, 2011). Naturalized flows are required for ecological assessment to understand how river flow has altered the biodiversity (e.g., Kominoski et al., 2018), effectiveness of reservoir re‐operation in mitigating flow alteration (e.g., Y. Wang et al., 2017), climate impacts assessment (Ficklin et al., 2018), and quantifying the interaction of climate and dams on natural flows (Chalise et al., 2021).…”

Section: Study Region and Data Setmentioning

confidence: 99%

Dynamic Flow Alteration Index for Complex River Networks With Cascading Reservoir Systems

Kumar

Hwang

Devineni

et al. 2021

Water Resources Research

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The natural flow regime of a river is defined by the characteristic pattern of the streamflow variability (Poff et al., 1997). The natural flow regime impacts the riverine habitat, biodiversity, water quality, and overall river ecosystem health (Poff et al., 1997). The alteration of the flow regime is a major factor in degrading the river ecosystem (Poff et al., 2010). The flow regime may change due to human intervention through dams, barrages, land-use and land-cover changes, and changes in the region's hydroclimatology. The world's rivers are regulated through an estimated 2.8 million dams (Lehner et al., 2011) for meeting various human needs such as municipal water supply, flood control, irrigation water supply, and recreational uses. Such regulations alter streamflow in various time scales-hydropeaking alters flow at hourly time scales whereas low flow augmentation affects summer flows, and inter-basin transfers impact the flows over long-term (annual and beyond) (Alonso et al., 2017;Bunn & Arthington, 2002;Stanford & Ward, 1979). The various kinds of flow regulation introduced by these dams have adverse ecological consequences (Poff et al., 1997) as they fragment aquatic habitats (Nilsson et al., 2005) and hinder the movement of species, nutrients, and sediments along the stream (Lehner et al., 2011). Furthermore, such alteration affects the river regime in multiple forms by propagating through river networks multiple ways such as by destabilizing channel morphology (Graf, 2006), by altering the composition and dynamics of aquatic biota (Poff et al., 2007), and by reducing sediment transport (Lehner et al., 2011).Reservoir regulation has been studied over many decades (

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Development of monthly naturalized flow using Water Rights Analysis Package (WRAP)-based methods

Cited by 12 publications

References 6 publications

A model–data intercomparison of simulated runoff in the contiguous United States: results from the North America Carbon Regional and Continental Interim-Synthesis

A model–data intercomparison of simulated runoff in the contiguous United States: results from the North America Carbon Regional and Continental Interim-Synthesis

Water Prism: A Tool to Assess Water Availability Risk and Investigate Water Management Strategies

Dynamic Flow Alteration Index for Complex River Networks With Cascading Reservoir Systems

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