Developing the hydrological dependency structure between streamgage and reservoir networks

Mukhopadhyay, Sudarshana; Sankarasubramanian, A.; Awasthi, Chandramauli

doi:10.1038/s41597-020-00660-6

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…We then used the NHD Plus v2 data set (McKay et al., 2012) to characterize the CRB stream network. In particular, we used the River and Infrastructure Connectivity Network data set (Mukhopadhyay et al., 2020) that merged three data sets (on streamgaging sites, dams, and river flow lines), to create a data tree in which each node represents individual reservoirs and connecting stems represent river reaches in‐between those reservoirs. In this merged network, point information is stored as attributes of either nodes (reservoirs) or stems (streamgages).…”

Section: Methodsmentioning

confidence: 99%

How Does Flow Alteration Propagate Across a Large, Highly Regulated Basin? Dam Attributes, Network Context, and Implications for Biodiversity

et al. 2022

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Dams are a major contributor to flow regime alteration: they increase water residence time, mute peak flows, shift the timing of ecologically important high and low flows, and alter flow periodicity (Poff et al., 2007;Ruhi et al., 2018;Vorosmarty, 1997). These alterations adversely affect riverine and riparian biodiversity because the life-history, morphological, and behavioral adaptations of organisms are often at odds with the novel environmental regime (Bunn & Arthington, 2002;Lytle & Poff, 2004;Mims & Olden, 2013). Such flow regime alteration is also often detrimental to society, as it may disrupt floodplain fishing, flood-recession agriculture, and a wide range of recreational and cultural values (Anderson et al., 2019). Despite intense scrutiny, flow alteration by dams has largely been estimated via methods that do not take into account the spatial context in which these changes

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Section: Methodsmentioning

confidence: 99%

How Does Flow Alteration Propagate Across a Large, Highly Regulated Basin? Dam Attributes, Network Context, and Implications for Biodiversity

et al. 2022

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“…We therefore assumed that further dam construction post‐1987 had lesser impacts on flow regime alteration (e.g., via increased capacity). Connectivity between the selected dams and streamflow gauges was developed based on the River and Infrastructure Connectivity Network (RICON) tool, which systematically combines three geospatial information sources: the National Hydrographic Dataset (NHDPlusV2), streamflow gauges from the USGS National Water Information System, and NID reservoirs (Mukhopadhyay et al., 2020).…”

Section: Datamentioning

confidence: 99%

Quantifying Dam‐Induced Fluctuations in Streamflow Frequencies Across the Colorado River Basin

Hwang

Kumar

Ruhí

et al. 2021

Water Resources Research

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As water demand drastically increased due to growing population and urbanization over the last century, a vast installation of reservoirs proliferated worldwide, fundamentally changing the water cycle (Ripl, 2003). Large-scale water regulation and conveyance systems currently determine present and future water availability to society (Sivapalan et al., 2003, Vogel et al., 2015Vörösmarty & Sahagian, 2000). In the United States (U.S.) alone, more than 90,000 dams change the quantity and variability of natural flow regimes, altering an estimated >85% of inland waterways (National Research Council, 1992). The impacts of such alteration propagate through river networks and affect the fluvial ecosystem in multiple ways: by preventing sediment transport (

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“…The actual physical properties of rivers (e.g., river length and slope) can be determined more realistically in the vector river network compared to the grid river network (Fan et al., 2021). In addition, it allows for accurately locating water bodies, such as reservoirs, into the system as compared to the traditional grid‐based river network approach (Mukhopadhyay et al., 2020). As such, existing objects in the river system are directly represented by the computational elements in the model.…”

Section: Methodsmentioning

confidence: 99%

Direct Integration of Numerous Dams and Reservoirs Outflow in Continental Scale Hydrologic Modeling

Tavakoly

Gutenson

Lewis

et al. 2021

Water Resources Research

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The world's river system has more than 50,000 dams and reservoirs that offer valuable services to maximize the benefits of surface water resources (ICOLD, 2020). These benefits include flood control, hydropower generation, navigation, and recreational uses (Gao et al., 2012;A. Getirana et al., 2020;Passaia et al., 2020). Largely mandated by the Flood Control Act of 1936, the United States Army Corps of Engineers (USACE) has been building and managing numerous dams and reservoirs. Many of these reservoirs were built to attenuate flood events, thereby lowering peak flows and limiting flood inundation extents in the downstream watersheds (Turner et al., 2020). In the Mississippi River Basin (MRB) (covering 40% of the contiguous Abstract Despite the recent developments in continental-scale streamflow and flood inundation modeling frameworks, effects of time-specific and spatially explicit storage-release dynamics of numerous dams and reservoirs remain underexplored. This paper fills this knowledge gap by directly inserting operational daily flow release data at 175 dam locations into a streamflow simulation of ∼1.2 million river reaches in the Mississippi River Basin (MRB), and therefore quantifying the effect of these regulations on streamflow and flood inundation extents. Using a streamflow routing model called the Routing Application for Parallel computatIon of Discharge (RAPID) and flood inundation mapping model called AutoRoute, two simulation scenarios were constructed respectively including and excluding the daily flow releases from those dams and reservoirs for a 10-year period (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014). Flood inundation maps were simulated for peak flow conditions at a ∼10-m hyper spatial resolution. Kling-Gupta efficiency (KGE) values show that streamflow model performance considerably improved when reservoirs were included in the modeled system, varying from 2% in the eastern region to 380% in the drier western region. Despite small variation of streamflow model improvement with reservoir release inclusion in the eastern region of the basin, the flow model was able to better capture observed peak flows. For a 1% change in streamflow, we observe a 0.8% change in estimated flood inundation. Comparisons to three observed flood events in the MRB demonstrate that the flood inundation estimates improve when percent change in streamflow is relatively high. Overall, inclusion of reservoir release resulted in substantial improvement in continentalscale streamflow and flood inundation mapping.Plain Language Summary Dams and reservoirs are important structures that alter the flow of rivers to provide important services such as flood reduction, hydropower generation, and water storage for irrigation and recreation. We can use computer modeling to simulate the flow of rivers and the operation of dams. Most of the time, researchers approximate the operation of dams using various assumptions. However, we do not fully understand how much the real-life operation of reservoirs impacts rive...

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Developing the hydrological dependency structure between streamgage and reservoir networks

Cited by 7 publications

References 20 publications

How Does Flow Alteration Propagate Across a Large, Highly Regulated Basin? Dam Attributes, Network Context, and Implications for Biodiversity

How Does Flow Alteration Propagate Across a Large, Highly Regulated Basin? Dam Attributes, Network Context, and Implications for Biodiversity

Quantifying Dam‐Induced Fluctuations in Streamflow Frequencies Across the Colorado River Basin

Direct Integration of Numerous Dams and Reservoirs Outflow in Continental Scale Hydrologic Modeling

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