Ensemble Based Forecasting and Optimization Framework to Optimize Releases from Water Supply Reservoirs for Flood Control

Ramaswamy, V.; Saleh, Firas

doi:10.1007/s11269-019-02481-8

Cited by 21 publications

(10 citation statements)

References 73 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the depth reservoirs, a big deep prevents resuspension mechanisms influence over surface, but the operation, where water is captured at 30m depth, may have influence in water dynamic, because it seems that plant operation difficult the mixing in the deepest zone. The flow of water in the reservoir in the lower (underflow), intermediate (interflow) or upper (overflow) layers greatly influences the degree of mixing in reservoir (Zhu et al, 2020;Ramaswamy & Saleh 2020;Yoshioka & Yoshioka, 2019).…”

Section: Variablementioning

confidence: 99%

Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir

Guedes

Rodrigues

Bravo

et al. 2022

RBRH

View full text Add to dashboard Cite

Spatial and temporal variability patterns of water quality were evaluated through monthly collection of water samples (surface, sub-surface and bottom) from 2005 to 2012. Principal Component Analysis was used to define the relative importance of each variable and Anova (two way) to analyze the significance of differences in water quality in the longitudinal axis of the reservoir. The variables: turbidity, Secchi transparency, residence time and temperature have greater importance on water quality. It was observed spatial and temporal gradients, related to the circulation, sedimentation and resuspension processes, and the influence of low flow, high residence time and winter mixing of water column on the cycling of solids and nutrients may explain the variation in these processes. The use of multivariate statistical analysis methods provided important information to understand these processes, it helps the interpretation of complex data to improve monitoring, and use of information to decision makers.

show abstract

Section: Variablementioning

confidence: 99%

Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir

Guedes

Rodrigues

Bravo

et al. 2022

RBRH

View full text Add to dashboard Cite

show abstract

“…Secondly, the indirect benefits of tourism and aquaculture due to increased storage capacity have not been calculated because of limited information. Finally, this study is based on long-term rainfall and runoff data, but one direction of research on reservoir scheduling is to forecast the future based on short-term data (Ramaswamy and Saleh 2020), and how to combine long-term and short-term data needs to be studied further in the future.…”

Section: Conclusion and Discusssionmentioning

confidence: 99%

Study on the Staged Operation of a Multi-Purpose Reservoir in Flood Season and its Effect Evaluation

Zhu

Ruan

et al. 2021

Preprint

View full text Add to dashboard Cite

A reasonable analysis of flood season staging is significant to the utilization of flood and the alleviation of water shortage. For a case study of the Chengbi River reservoir in China. Based on fractal theory, the flood season is divided into several sub-seasons by using four indexes (multi-year average daily rainfall, multi-year maximum rainfall, multi-year average daily runoff, and multi-year maximum daily runoff) in this study. The Cubic spline interpolation function is then used to determine the flood limit water levels of each sub-season. And the Benefit-Risk theory is applied to evaluate the effects of staged dispatching. The results show that the flood season of Chengbi River basin should be divided into the pre-flood season (13 April-6 June), the main flood season (7 June-9 September) and the post-flood season (10 September-31 October). Adjustment of flood limit water level for sub-season and benefit evaluation. When the risk rate after reservoir flood season operation increases by 0.13×10 -5 , the average annual expected risk is 0.2264 million RMB, and the average annual benefit increases by 0.88-1.62 million RMB. The benefits obtained far outweigh the risks, indicating the importance of staging the flood season.

show abstract

“…Soft computing models are widely used to solve various problems in water resource management, such as reservoir operation [1,2], flood routing [3], irrigation management [4], and drug removal modeling [5]. Reference evapotranspiration (ET) is a key parameter for hydrology [6].…”

Section: Introductionmentioning

confidence: 99%

Forecasting Daily and Monthly Reference Evapotranspiration in the Aidoghmoush Basin Using Multilayer Perceptron Coupled with Water Wave Optimization

2021

View full text Add to dashboard Cite

The aim of this study is to evaluate the ability of soft computing models including multilayer perceptron- (MLP-) water wave optimization (MLP-WWO), MLP-particle swarm optimization (MLP-PSO), and MLP-genetic algorithm (MLP-GA), to simulate the daily and monthly reference evapotranspiration (ET) at the Aidoghmoush basin (Iran). Principal component analysis (PCA) was used to find the best input combination including the lagged ETs. According to the results, the ET values with 1, 2, and 3 (days) lags as well as those with 1, 2, and 3 (months) lags were the most effective variables in the formation of the PCs. The total variance proportion of inputs and eigenvalues was used to identify the most important variables. The accuracy of the models was assessed based on multiple statistical indices such as the mean absolute error (MAE), Nash–Sutcliff efficiency (NSE), and percent bias (PBIAS). The results showed that the performance of hybrid MLP models was better than that of the standalone MLP. The findings confirmed that the MLP-WWO could precisely predict ET.

show abstract

Ensemble Based Forecasting and Optimization Framework to Optimize Releases from Water Supply Reservoirs for Flood Control

Cited by 21 publications

References 73 publications

Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir

Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir

Study on the Staged Operation of a Multi-Purpose Reservoir in Flood Season and its Effect Evaluation

Forecasting Daily and Monthly Reference Evapotranspiration in the Aidoghmoush Basin Using Multilayer Perceptron Coupled with Water Wave Optimization

Contact Info

Product

Resources

About