Utilizing the Sobol’ Sensitivity Analysis Method to Address the Multi-Objective Operation Model of Reservoirs

The operation of reservoirs has significantly influenced the river ecological system. Upholding the ecological integrity of rivers during reservoir operations has been the focus of research over the years. When the Dahuofang reservoir project started, focus moved to ecological goals to address the Biliuhe reservoir’s environmental issues. The water strategy limits usage for various purposes and outlines the diversion route, complicating Biliuhe operations. In this study, to comprehend the effects of individual water level guidelines and their combined influence on these goals, the Sobol’ sensitivity analysis was introduced as an initial measure to tackle the optimization challenge. The results show that removing the insensitive water levels during specific periods of reservoir scheduling lines and beginning with sensitive water levels for local optimization to identify viable solutions, and then moving to wider optimization, significantly enhances the search efficiency, solution quality, and operational speed compared with an exhaustive search without any preceding steps. This sensitivity analysis technique is crucial for fine-tuning multi-objective reservoir operations.

[1]  G. Kesserwani,et al.  Sampling‐Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice , 2023, Water Resources Research.

[2]  Lei Li,et al.  Impact of Climate Change on Water Transfer Scale of Inter-basin Water Diversion Project , 2022, Water Resources Management.

[3]  Jiahe Zhang,et al.  Bi-level hybrid game model for optimal operation of multi-function reservoir considering integrated water resource management , 2022, Environmental Science and Pollution Research.

[4]  Liping Wang,et al.  Sensitivity analysis of geometric error for a novel slide grinder based on improved Sobol method and its application , 2022, The International Journal of Advanced Manufacturing Technology.

[5]  Ya-qin Diao,et al.  Optimal Flood-Control Operation of Cascade Reservoirs Using an Improved Particle Swarm Optimization Algorithm , 2022, Water.

[6]  Xuelei Wang,et al.  Considering ecological flow in multi-objective operation of cascade reservoir systems under climate variability with different hydrological periods. , 2022, Journal of environmental management.

[7]  T. Bai,et al.  Hydrological Response and Ecological Flow Optimization in Water Diversion Area of Inter-basin Water Diversion Project , 2022, Water Resources Management.

[8]  Z. Dong,et al.  Time-varying Decision-making Method for Multi-objective Regulation of Water Resources , 2021, Water Resources Management.

[9]  Bin Xu,et al.  Spark-based parallel dynamic programming and particle swarm optimization via cloud computing for a large-scale reservoir system , 2021, Journal of Hydrology.

[10]  Wen-jing Niu,et al.  Multiple Hydropower Reservoirs Operation by Hyperbolic Grey Wolf Optimizer Based on Elitism Selection and Adaptive Mutation , 2021, Water Resources Management.

[11]  Katakam V SeethaRam Three Level Rule Curve for Optimum Operation of a Multipurpose Reservoir using Genetic Algorithms , 2021, Water Resources Management.

[12]  W. Kinzelbach,et al.  Resolving Conflicts between Irrigation Agriculture and Ecohydrology Using Many-Objective Robust Decision Making , 2020 .

[13]  Lin Qiu,et al.  Multi-objective reservoir operation using particle swarm optimization with adaptive random inertia weights , 2020, Water Science and Engineering.

[14]  Chuntian Cheng,et al.  Annual Streamflow Time Series Prediction Using Extreme Learning Machine Based on Gravitational Search Algorithm and Variational Mode Decomposition , 2020 .

[15]  Hongyi Li,et al.  A fuzzy cooperative game theoretic approach for multinational water resource spatiotemporal allocation , 2020, Eur. J. Oper. Res..

[16]  Zhong-kai Feng,et al.  Monthly Operation Optimization of Cascade Hydropower Reservoirs with Dynamic Programming and Latin Hypercube Sampling for Dimensionality Reduction , 2020, Water Resources Management.

[17]  Wen-jing Niu,et al.  Ecological operation of cascade hydropower reservoirs by elite-guide gravitational search algorithm with Lévy flight local search and mutation , 2020 .

[18]  Shiping Wen,et al.  Passivity and passification of memristive neural networks with leakage term and time-varying delays , 2019, Appl. Math. Comput..

[19]  Yu Tian,et al.  Effects of damming and climatic change on the eco-hydrological system: A case study in the Yalong River, southwest China , 2019, Ecological Indicators.

[20]  Sen Wang,et al.  Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization , 2019, Journal of Hydrology.

[21]  Yu Li,et al.  Cost-Benefit Framework for Optimal Design of Water Transfer Systems , 2019, Journal of Water Resources Planning and Management.

[22]  Ruiming Fang,et al.  Multi-objective optimized scheduling model for hydropower reservoir based on improved particle swarm optimization algorithm , 2019, Environmental Science and Pollution Research.

[23]  Zhong-kai Feng,et al.  A parallel multi-objective particle swarm optimization for cascade hydropower reservoir operation in southwest China , 2018, Appl. Soft Comput..

[24]  Peifang Wang,et al.  Optimal reservoir operation using multi-objective evolutionary algorithms for potential estuarine eutrophication control. , 2018, Journal of environmental management.

[25]  Chuntian Cheng,et al.  Optimization of hydropower reservoirs operation balancing generation benefit and ecological requirement with parallel multi-objective genetic algorithm , 2018, Energy.

[26]  Zhong-kai Feng,et al.  Multi-stage progressive optimality algorithm and its application in energy storage operation chart optimization of cascade reservoirs , 2018 .

[27]  Ioannis P. Androulakis,et al.  A framework for 2-stage global sensitivity analysis of GastroPlus™ compartmental models , 2018, Journal of Pharmacokinetics and Pharmacodynamics.

[28]  Jay R. Lund,et al.  Environmental hedging: A theory and method for reconciling reservoir operations for downstream ecology and water supply , 2017 .

[29]  Julie Bessac,et al.  Global Sensitivity Analysis for Statistical Model Parameters , 2017, SIAM/ASA J. Uncertain. Quantification.

[30]  Guangtao Fu,et al.  Bi-Level Optimization for Determining Operating Strategies for Inter-Basin Water Transfer-Supply Reservoirs , 2017, Water Resources Management.

[31]  Bo Ming,et al.  Improving Optimization Efficiency for Reservoir Operation Using a Search Space Reduction Method , 2017, Water Resources Management.

[32]  H. Dai,et al.  Optimal operation of a multi-reservoir system for environmental water demand of a river-connected lake , 2016 .

[33]  Huicheng Zhou,et al.  Identifying the key water levels in reservoir operation on ecological objectives , 2014 .

[34]  B. Cui,et al.  Abrupt changes of runoff and sediment load in the lower reaches of the Yellow River, China , 2014, Water Resources.

[35]  G. Fu,et al.  Sobol′’s sensitivity analysis for a distributed hydrological model of Yichun River Basin, China , 2013 .

[36]  Zoran Kapelan,et al.  Reducing the Complexity of Multiobjective Water Distribution System Optimization through Global Sensitivity Analysis , 2012 .

[37]  Darran King,et al.  Integrated modelling of cost‐effective siting and operation of flow‐control infrastructure for river ecosystem conservation , 2011 .

[38]  Jenq-Tzong Shiau,et al.  A Histogram Matching Approach for assessment of flow regime alteration: application to environmental flow optimization , 2008 .

[39]  Andrea Castelletti,et al.  Water reservoir control under economic, social and environmental constraints , 2008, Autom..

[40]  Marco Laumanns,et al.  Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..

[41]  Gary B. Lamont,et al.  Multiobjective evolutionary algorithm test suites , 1999, SAC '99.

[42]  David P. Braun,et al.  A Method for Assessing Hydrologic Alteration within Ecosystems , 1996 .