The hydropower station construction produced serious impacts on the regional eco-environment. The most obvious characteristics of the impacts caused by the cascade hydroelectric development are progressive, cumulative and regional. In this paper, the study area of Yellow river section from Longyangxia to Liujiaxia reservoir locates in the northwest Loess plateau of China. The remote sensing dat...

Abstract Accurate timeand site-specific forecasts of streamflow and reservoir inflow are important in effective hydropower reservoir management and scheduling. Traditionally, autoregressive movingaverage (ARMA) models have been used in modelling water resource time series as a standard representation of stochastic time series. Recently, artificial neural network (ANN) approaches have been prove...

Optimal operation of hydropower reservoir systems is a classical optimization problem high dimensionality and stochastic nature. A key challenge lies in improving the interpretability strategies, i.e., cause–effect relationship between system outputs (or actions) contributing variables such as states inputs. This paper reports for first time new deep reinforcement learning (DRL) framework optim...

Genetic algorithms (GA) have been widely used to solve water resources system optimization. However, when applying GAs to solve large-scale and complex water reservoir system problems, premature convergence is one of the most frequently encountered difficulties and takes a large number of iterations to reach the global optimal solution and the optimization may get stuck at a local optimum. Ther...

Forecasts of hydrological variables at a medium-range horizon, from one to two weeks, are useful to operate reservoirs, especially if these are used for hydropower generation and are constrained due to multiple water uses. In the present study we investigate the use of medium-range scenarios of reservoirs inflow for a decision making procedure related to a reservoir operation in the Doce River ...