A framework for incorporating ecological releases in single reservoir operation

Wang, Hui; Brill, E. Downey; Ranjithan, Ranji; Sankarasubramanian, A.

doi:10.1016/j.advwatres.2015.01.006

Cited by 48 publications

(27 citation statements)

References 29 publications

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“…However, they also affect many fundamental processes and functional characteristics of healthy rivers, such as the flow regimes [3][4][5], sediment conditions [6][7][8], and thermal characteristics [9][10][11], thus leading to the rapid decline of aquatic biodiversity and essential ecosystem services [12][13][14]. The alterations of natural river conditions could influence the critical habits of species [15,16], since each species may have an "optimal environmental window" for reproductive success and recruitment maximization [17][18][19]. Spawning is a vital and sensitive time for most fish, and this period is thus often deemed as a representative pivotal habit for them, whose breeding is closely related to hydrological factors [20].…”

Section: Introductionmentioning

confidence: 99%

Potential Impact of a Large-Scale Cascade Reservoir on the Spawning Conditions of Critical Species in the Yangtze River, China

Yang

Liu

et al. 2019

Water

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Dam building and reservoir operations alter the downstream hydrological regime, and as a result, affect the health of the river aquatic ecosystem, particularly for large-scale cascade reservoirs. This study investigated the impact of the Gezhouba Reservoir (GR) and the Three Gorges Reservoir (TGR) on the spawning conditions of two critical taxa, i.e., the endemic four major carps and the endangered Chinese sturgeon in the Yangtze River. We analyzed the flow, sediment, and thermal regime in these two taxa spawning seasons and compared their features between the predam and postdam periods. Our results revealed that the GR and the TGR had altered the frequency distributions of flow, sediment, and water temperature to different degrees, with the impact by the GR on the carps and Chinese sturgeon ranked as water temperature > flow, sediment > water temperature > flow, and the effect of the TGR on these two taxa were ordered as flow > water temperature, sediment > flow > water temperature. For the GR, the satisfying degree of the suitable flow and water temperature of the carps increased, whilst the suitable flow, sediment, and water temperature for the Chinese sturgeon decreased. These changes in TGR showed a significant ascending (descending) trend in the suitable flow (water temperature) for the carps, and a clear decreasing trend in the flow, sediment, and temperature for Chinese sturgeon. Both the TGR and the GR had negative impacts on the spawning of these two taxa in terms of the rising/falling flow characteristics.

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Section: Introductionmentioning

confidence: 99%

Potential Impact of a Large-Scale Cascade Reservoir on the Spawning Conditions of Critical Species in the Yangtze River, China

Yang

Liu

et al. 2019

Water

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“…In fact, studies have shown the information from streamflow reconstruction improves reservoir sizing 37 and provide better insight into future streamflow conditions in comparison to near-term climate change projections 38 . Potential to re-assess operational rule curves to incorporate environmental flows also exists using the augmented record 39 , 40 .…”

Section: Discussionmentioning

confidence: 99%

Role of Pacific SSTs in improving reconstructed streamflow over the coterminous US

Mukhopadhyay

Patskoski

Sankarasubramanian

2018

Sci Rep

Self Cite

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Reconstructed annual streamflows using tree-ring chronologies provide useful information on moisture availability during the pre-historic period, but they have limitations in estimating high flows due to the upper bound on soil water holding capacity and trees’ metabolic growth limits. We propose a hybrid approach that uses tree-ring chronologies and climatic indices for improving high flows in 301 basins whose annual streamflows are modulated by ENSO and/or PDO. The hybrid decomposition approach relies on separating the moisture supply into the basin as outside-the-region moisture and within-the-region moisture with the former being estimated by SST indices and the latter being estimated by tree-ring chronologies. Analyses over the 301 stations from coterminous US show that the proposed approach improves the high flows and improves the overall error in the reconstructed streamflows. Potential utility of the improved reconstructed annual streamflows with improved high flows is also discussed.

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“…Based on dependency of each hydrologic variable to climate indicators, three different pairs of climate indices were determined for the three hydrologic variables of interest, annual mean flow, three-day peak flow, and seven-day low flow, which represent mean, high, and low flow regimes, respectively. Three-day peak flow and seven-day low flow have been widely used for high-flow and low-flow variables in US [16][17][18][19]. Table 1 presents the selected climate indices.…”

Section: Climate Indicesmentioning

confidence: 99%

Impact of Spatial Aggregation Level of Climate Indicators on a National-Level Selection for Representative Climate Change Scenarios

Seo

Kim

2018

Sustainability

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For sustainable management of water resources, adaptive decisions should be determined considering future climate change. Since decision makers have difficulty in formulating a decision when they should consider a large number of climate change scenarios, selecting a subset of Global Circulation Models (GCM) outputs for climate change impact studies is required. In this study, the Katsavounidis-Kuo-Zhang (KKZ) algorithm was used for representative climate change scenarios selection and a comprehensive analysis has been done through a national-level case study of South Korea. The KKZ algorithm was applied to select a subset of GCMs for each subbasin in South Korea. To evaluate impacts of spatial aggregation level of climate data sets on preserving inter-model variability of hydrologic variables, three different scales (national level, river region level, subbasin level) were tested. It was found that only five GCMs selected by KKZ algorithm can explain almost of whole inter-model variability driven by all the 27 GCMs under Representative Concentration Pathways (RCP) 4.5 and 8.5. Furthermore, a single set of representative GCMs selected for national level was able to explain inter-model variability on almost the whole subbasins. In case of low flow variable, however, use of finer scale of climate data sets was recommended.

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A framework for incorporating ecological releases in single reservoir operation

Cited by 48 publications

References 29 publications

Potential Impact of a Large-Scale Cascade Reservoir on the Spawning Conditions of Critical Species in the Yangtze River, China

Potential Impact of a Large-Scale Cascade Reservoir on the Spawning Conditions of Critical Species in the Yangtze River, China

Role of Pacific SSTs in improving reconstructed streamflow over the coterminous US

Impact of Spatial Aggregation Level of Climate Indicators on a National-Level Selection for Representative Climate Change Scenarios

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