4. River Ecology, The Natural Flow Regime Paradigm, And Hydroecological Principles

2019 ◽  
pp. 49-74
Energy ◽  
2020 ◽  
Vol 190 ◽  
pp. 116260 ◽  
Author(s):  
Jeff Opgrand ◽  
Paul V. Preckel ◽  
F.T. Sparrow ◽  
Gregory Thomas ◽  
Daniel P. Loucks

2009 ◽  
pp. n/a-n/a ◽  
Author(s):  
Daren M. Carlisle ◽  
James Falcone ◽  
David M. Wolock ◽  
Michael R. Meador ◽  
Richard H. Norris

2016 ◽  
Vol 573 ◽  
pp. 1492-1502 ◽  
Author(s):  
Konstantinos Stefanidis ◽  
Yiannis Panagopoulos ◽  
Alexandros Psomas ◽  
Maria Mimikou

2013 ◽  
Vol 10 (12) ◽  
pp. 15841-15869
Author(s):  
X. A. Yin ◽  
Z. F. Yang ◽  
C. L. Liu

Abstract. In deregulated electricity markets, hydropower portfolio design has become an essential task for producers. The previous research on hydropower portfolio optimisation focused mainly on the maximisation of profits but did not take into account riverine ecosystem protection. Although profit maximisation is the major objective for producers in deregulated markets, protection of riverine ecosystems must be incorporated into the process of hydropower portfolio optimisation, especially against a background of increasing attention to environmental protection and stronger opposition to hydropower generation. This research seeks mainly to remind hydropower producers of the requirement of river protection when they design portfolios and help shift portfolio optimisation from economically oriented to ecologically friendly. We establish a framework to determine the optimal portfolio for a hydropower reservoir, accounting for both economic benefits and ecological needs. In this framework, the degree of natural flow regime alteration is adopted as a constraint on hydropower generation to protect riverine ecosystems, and the maximisation of mean annual revenue is set as the optimisation objective. The electricity volumes assigned in different electricity sub-markets are optimised by the noisy genetic algorithm. The proposed framework is applied to China's Wangkuai Reservoir to test its effectiveness. The results show that the new framework could help to design eco-friendly portfolios that can ensure a planned profit and reduce alteration of the natural flow regime.


2020 ◽  
Author(s):  
Jonathan D. Tonkin ◽  
Julian D. Olden ◽  
David. M. Merritt ◽  
Lindsay V. Reynolds ◽  
Jane S. Rogosch ◽  
...  

AbstractOvercoming the challenges of water scarcity will require creative approaches to flow management and modeling approaches that forecast the effects of management actions on multiple ecosystem components simultaneously. Using a mechanistic multispecies modeling approach, we investigated the cross-ecosystem effects of environmental flow regimes designed for specific ecosystem outcomes. We reveal tradeoffs associated with flow regimes targeting riparian vegetation, fishes, and invertebrates. The different frequencies associated with each flow regime in some cases caused non-target ecosystem components to become locally extirpated within short (decadal) timespans. By incorporating multiple flow frequencies (from intraannual-scale pulses to large decadal-scale floods), the natural flow regime enabled a balanced but sub-optimal response of the three ecosystem components (mean 72% of designer flow). Although returning to a natural flow regime may not be possible in highly managed rivers, novel flow regimes must incorporate diverse frequencies inherent to such a regime and accommodate the sometimes conflicting requirements of different taxa at different times.


Sign in / Sign up

Export Citation Format

Share Document