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Accurate daily river flow forecast is essential in many applications of water resources such as hydropower operation, agricultural planning and flood control.
The results indicate that the proposed UDP algorithm has competitive performance in computational efficiency and convergence speed, which is an effective tool for hydropower operation problem.
The hydropower operation for the peak load of electricity demand will produce artificial tides in the backwater area of TGR as well as increase the water stage variation from 0.30 m to 0.50 m within a day.
However, the DP computational burden shows an exponential growth with the increasing number of hydroplants, which results in "the curse of dimensionality" and limits its application to resolve large and complex hydropower operation problem.
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The discharge impacts are expected to vary from year to year depending on hydropower operations.
It is thus critical to understand and minimize its ecological impacts, by developing management guidelines for hydropower operations.
Our findings indicate that the hydropower operations have considerably modified the river discharges since 2011 and the largest changes were observed in 2014.
Two benchmark problems of hydropower operations for multi-purposes reservoir systems, namely four-reservoir and ten-reservoir systems were considered in the study.
Rapid dewatering in rivers as a consequence of hydropower operations may cause stranding of juvenile fish and have a negative impact on fish populations.
Despite the transboundary significance of the impacts, there is no public information on the hydropower operations or on the already observed downstream discharge impacts since the completion of the largest dams.
These results are compared with previous studies to emphasize the need to consider climate change effects on hydroelectricity demand and pricing when exploring the effects of climate change on hydropower operations.
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