Ecological reservoir operation based on DFM and improved PA-DDS algorithm: A case study in Jinsha river,China

Abstract

This study aims to explore the optimization of reservoir operation in the Jinsha River, accounting for both economic and ecological needs. Power generation was set as an objective to express economic needs, while water supply, shipping, and flood control were considered as restrictions. The distribution flow method (DFM) based on Pearson-III curve was proposed to calculate the most optimal ecological flow (MOEF). Additionally, minimal difference between the outflow and MOEF was set as an objective to reflect ecological needs. Results indicated that the DFM was more objective, effective, and convenient than the improved Tennant method and monthly frequency computation method in calculating the MOEF. An improved Pareto archived dynamically dimensioned search (PA-DDS) algorithm was introduced to address completed reservoir optimization. Results highlighted that the application of the improved PA-DDS produced more convergence, uniformity, and stability in nondominated solutions (NDS), compared with the non-dominated sorting genetic algorithm-II (NSGA-II). Separate optimization and joint optimization of cascade reservoir operation were studied using the improved PA-DDS. The results indicated that joint optimization produced higher power generation in the dry year and normal year, and significant reduction in the difference between the outflow and MOEF in the wet year.     

Metaheuristics for the bi-objective orienteering problem

In this paper, heuristic solution techniques for the multi-objective orienteering problem are developed. The motivation stems from the problem of planning individual tourist routes in a city. Each point of interest in a city provides different benefits for different categories (e.g., culture, shopping). Each tourist has different preferences for the different categories when selecting and visiting the points of interests (e.g., museums, churches). Hence, a multi-objective decision situation arises. To determine all the Pareto optimal solutions, two metaheuristic search techniques are developed and applied. We use the Pareto ant colony optimization algorithm and extend the design of the variable neighborhood search method to the multi-objective case. Both methods are hybridized with path relinking procedures. The performances of the two algorithms are tested on several benchmark instances as well as on real world instances from different Austrian regions and the cities of Vienna and Padua. The computational results show that both implemented methods are well performing algorithms to solve the multi-objective orienteering problem.     

Assessment of multi-objective reservoir operation in the middle and lower Yangtze River based on a flow regime influenced by the Three Gorges Project

The construction of multi-function reservoirs is important to guaranteeing the development and utilization of water and hydropower resources, but the construction of any hydrologic projects will inevitably affect the downstream flow regime that provides the driving force for riverine ecosystems. This paper therefore aims to propose a framework for assessing multi-objective reservoir operation models based on flow regime using the middle and lower Yangtze River as a case study. Using indicators of hydrologic alteration (IHA) and the histogram matching approach (HMA), critical influential factors for flow were investigated at the Yichang and Datong gauges, which are typical of the middle and lower Yangtze River. This found the magnitude of annual extreme minimum water flow rates to be the most dramatically changed indicator, with an overall degree of hydrologic alteration at the Yichang and Datong gauges of 41.98% and 34.58%, respectively. The monthly mean discharges of February and October at Yichang have been significantly changed as a result of the Three Gorges Reservoir (TGR) operation. Meanwhile, an improved range of variability approach (IRVA) was developed to obtain ideal target ranges for monthly average flow. A multi-objective ecological reservoir operations model was created for the TGR; the Non-dominated Sorting Genetic Algorithm II (NSGA-II) was applied to the model. Three typical years of wet, normal and dry years were selected, and the operation results with corresponding ideal target ranges were analyzed for the downstream Yichang and Datong cross sections. The results showed that there should be a reduction by 23.57%, 28.10% and 39.92% in the monthly mean flow of February and an increase by 34.48%, 112.36% and 52.12% in the monthly mean flow of October at Yichang cross section in wet, normal and dry years, respectively.Close attention therefore needs to be given to integrating ecological objectives with appropriate flow regimes into multi-objective operation models.     

Searching for the Pareto frontier in multi-objective protein design

The goal of protein engineering and design is to identify sequences that adopt three-dimensional structures of desired function. Often, this is treated as a single-objective optimization problem, identifying the sequence–structure solution with the lowest computed free energy of folding. However, many design problems are multi-state, multi-specificity, or otherwise require concurrent optimization of multiple objectives. There may be tradeoffs among objectives, where improving one feature requires compromising another. The challenge lies in determining solutions that are part of the Pareto optimal set—designs where no further improvement can be achieved in any of the objectives without degrading one of the others. Pareto optimality problems are found in all areas of study, from economics to engineering to biology, and computational methods have been developed specifically to identify the Pareto frontier. We review progress in multi-objective protein design, the development of Pareto optimization methods, and present a specific case study using multi-objective optimization methods to model the tradeoff between three parameters, stability, specificity, and complexity, of a set of interacting synthetic collagen peptides.     

Pareto front analysis of flight time and energy use in long-distance bird migration

Optimality models are frequently used in studies of long distance bird migration to help understand and predict migration routes, stopover strategies and fuelling behaviour in a spatially varying environment. These models typically evaluate bird behaviour by focusing on a single optimization currency, such as total migration time or energy-use, without explicitly considering trade-offs between the involved objectives. In this paper, we demonstrate that this classic single-objective approach downplays the importance of variability in bird behaviour. In the light of these considerations, we therefore propose to use a full multi-criteria optimization method to isolate the set of non-dominated, efficient or Pareto optimal solutions. Unlike single-objective optimization where there is only one combination of bird behaviour maximizing fitness, the Pareto solution set represents a range of optimal solutions to conflicting objectives. Our results demonstrate that this multi-objective approach provides important new ways of analyzing how environmental factors and behavioural constraints have driven the evolution of migratory behaviour.     

香溪河流域梯级水库底栖动物群落比较

对香溪河流域3座梯级水库（古洞口一级水库、古洞口二级水库和三峡水库香溪河库湾）的底栖动物进行了比较生态学研究。运用主成分分析（PCA）对梯级水库的水质进行研究,表明沿着水库的梯度水质逐渐恶化。运用非度量多维标度法（NMS）对梯级水库的底栖动物群落结构进行相似性比较,表明选择水库湖泊区的样点进行梯级水库底栖动物生态学研究具有典型代表性。在物种组成和密度方面,古洞口一级水库和香溪河库湾都是寡毛类占优势,古洞口二级水库是摇蚊幼虫占优势。但3个水库都是耐污种占优势。采用典型对应分析（CCA）解析底栖动物群落结构与环境因子的关系,显示3个水库群落结构的差异主要由浊度造成。用TOC／Turb来表征有机物对浊度的贡献,结果显示古洞口二级水库有机物对浊度的贡献相对较小,因而表明泥沙等无机物对浊度的贡献相对较大。     

The effect of hydropower on fish stocks: comparison between cascade and non-cascade reservoirs

Spatial distributions of fish were studied in two types of reservoirs by means of hydroacoustics during the summer. Different patterns of fish distribution were found in non-cascade (Římov, Želivka) and cascade (Kamyk, Slapy, Štěchovice, Vrané) reservoirs. Maximum biomass and density of fish were observed in the tributary area of the non-cascade reservoir. The biomass declined towards the dam area. Average weight of fish showed the opposite trend—maximum average weight was observed in the dam area and declined towards the tributary area. In the cascade reservoirs fish distribution was found to be more complicated but the maximum biomass and density of fish were observed in the dam areas, whereas the tributary areas were nearly fishless. Poor ecohydrological conditions in the tributaries of cascade reservoirs are likely to be responsible for the low abundance of fish in these areas. This was evident in the example of Vrané reservoir which has two major inflows. Low biomass and density of fish were observed in the cold and low oxygen saturated inflowing cascade Vltava River while higher biomass and density were observed in the warm and well oxygen saturated Sázava River inflow. Average weights of fish followed the same trend as in non-cascade reservoirs—the maximum was in the dam area and it declined towards the tributary area. The vertical distribution of fish is driven by the fully developed stratification of temperature and oxygen during the summer season in non-cascade reservoirs. A significantly lower biomass of fish was observed below the thermocline in vertical surveys in both non-cascade and cascade reservoirs. Summer stratification in cascade reservoirs is weakly developed or is not developed at all due to hypolimnetic releases of cold water and short retention times. High transparency suggests lower primary production in cascade reservoirs. Guest editors: R. L. Welcomme & G. Marmulla Hydropower, Flood Control and Water Abstraction: Implications for Fish and Fisheries     

Multi-objective optimal control of dynamic bioprocesses using ACADO Toolkit

The optimal design and operation of dynamic bioprocesses gives in practice often rise to optimisation problems with multiple and conflicting objectives. As a result typically not a single optimal solution but a set of Pareto optimal solutions exist. From this set of Pareto optimal solutions, one has to be chosen by the decision maker. Hence, efficient approaches are required for a fast and accurate generation of the Pareto set such that the decision maker can easily and systematically evaluate optimal alternatives. In the current paper the multi-objective optimisation of several dynamic bioprocess examples is performed using the freely available ACADO Multi-Objective Toolkit (http://www.acadotoolkit.org). This toolkit integrates efficient multiple objective scalarisation strategies (e.g., Normal Boundary Intersection and (Enhanced) Normalised Normal Constraint) with fast deterministic approaches for dynamic optimisation (e.g., single and multiple shooting). It has been found that the toolkit is able to efficiently and accurately produce the Pareto sets for all bioprocess examples. The resulting Pareto sets are added as supplementary material to this paper.     

Optimized reservoir operation to balance human and environmental requirements: A case study for the Three Gorges and Gezhouba Dams,Yangtze River basin,China

After the construction and operation of the Three Gorges and Gezhouba dams, their impacts on hydrologic alterations in the middle and lower reach of Yangtze River are under high attention worldwide, of which the balance between the human and environmental flow requirements is one of the most important issues. This study uses an optimization model for the operation of reservoirs to compare the different environmental flow requirements of river ecosystems. Based on the different environmental flow requirements, four scenarios were established: (1) the no environmental flow case; (2) the minimum environmental flow (MEF) case; (3) the appropriate environmental flow (AEF) case; and (4) the environmental design flow (EDF) case. The EDF case is first proposed in this paper, which considers the reservoir adjustment ability and comprehensively balances the economic, social and ecological benefits. The Range of Variability Approach (RVA) is used to evaluate the potential hydrological alterations of each of the four scenarios. The comparison results of the power production and the degree of hydrological alteration in the four different scenarios, indicate that the system operation under the EDF case imposes the least hydrological alteration while providing adequate power production. The encouraging results demonstrate that this method will be a robust tool for practitioners to better perform reservoir operations in balancing the human and environmental requirements.     

Comparative impacts of dam water level regimes on herbaceous plant growth strategies in cascade reservoirs and downstream reaches of a major river

1. Flow regulation is a prolific and growing influence on rivers world-wide. Nine cascade hydropower dams were constructed along the 1,150-km Wujiang River in China over the past 30 years, disrupting longitudinal continuity. Water level fluctuations in the associated reservoirs range between daily, weekly, seasonal, and annual, depending on the type of regulation, but the comparative impacts of these regimes on plant growth strategies, or the extent of their downstream influence, is unknown.
2. Competitor, stress-tolerator, and ruderal (CSR) plant strategies were used to assess the impact of reservoir regulation type on the riparian herbaceous plant community based on sampling the inundation zone of nine reservoirs and their downstream river reaches during 2017 and 2018.
3. Our results revealed profound differences in CSR plant strategies of the dominant vegetation with respect to water level regime. While ruderal plants dominated (45%–60% of species), irrespective of regulation type, vegetation in reservoirs exhibited a strong shift from stress-tolerators (e.g., Cynodon dactylon, C-11.9:S-41.5:R-46.5%) to competitors (e.g., Reynoutria japonica, C-77.9:S-0:R-22.0%) with increasing intensity of water level fluctuation, reflecting the shift from annual to daily regulation. The width of the inundation zone was the best overall variable in explaining the CSR strategies of riparian vegetation, both in the reservoir inundation zone (r²-adj = 15.4%) and the downstream river (r²-adj = 7.3%). Retention time significantly explained variation in CSR plant strategies in the reservoir inundation zone (r²-adj = 3.7%, p = 0.002) but not downstream (p > 0.01). There was also a clear scale dependency of CSR plant strategies, with an increase in stress tolerators (average slope = 0.7%/km) and decline of competitor (average slope = −0.3%/km) and ruderal plants (average slope = −0.9%/km) with increasing distance downstream from dams.
4. The growth strategies of the dominant riparian vegetation changed with the magnitude and frequency of water level fluctuations caused by differences in regulation type, and local environmental conditions. Clear scale dependency in the CSR plant strategies was observed with distance from the dam, with ruderals dominating closest to the reservoirs and declining gradually downstream as stress tolerators increased.
5. Our study helps to evaluate the impact of river damming on the functional traits of riparian vegetation and to predict the resilience and restoration potential of riparian vegetation under different forms of human disturbance.

     

Chlorophyll content and factors affecting its spatial distribution in the Middle Volga reservoirs

On the basis of the data obtained during field observations in the summer low water period of 2001, the patterns of chlorophyll distribution and its relation to hydrological and hydrochemical factors in two eutrophic reservoirs of the Middle Volga are studied. The hydrological structure of the Gorky Reservoir, where the Volga water mass dominates, is homogeneous, while in the Cheboksary Reservoir along with the eutrophic Volga waters, the mesotrophic Oka water masses can be distinguished keeping their abiotic and biotic features over a long distance. Phytoplankton in the two contiguous reservoirs with different flow regimens and anthropogenic loads responds differently to the external influence. An autotrophic community in the Gorky Reservoir is more stable and depends little on abiotic factors which account for ∼63% of the explained chlorophyll variation. In the Cheboksary Reservoir under maximal for the Volga cascade flow velocity and anthropogenic load, the development and distribution of phytoplankton are almost completely (R ² = 0.93) controlled by these factors. The trophic state of the reservoirs has not changed as compared to the beginning of the 1990s.     

水利工程对坝下径流的影响——以葛洲坝、三峡水利枢纽为例

水利工程建设在给人类带来抗旱防洪效益、发电效益、航运效益、养殖等效益的同时,也对河流水文动态产生了一系列的影响,主要表现为对径流的调节。基于宜昌站1890—2014年径流数据,综合采用径流集中度、集中期和相位差分析等多种方法,分析了水利工程建设对径流年内分配以及枯水期的影响。结果表明:宜昌站径流集中度呈现缓慢下降趋势并在2004年发生突变,2003年以后径流集中度相对于2003年以前下降0.06(下降幅度为12.98%),说明葛洲坝水利枢纽、三峡工程建成以后宜昌站径流在年内分配变得平缓,洪峰被有效削弱,且三峡工程对宜昌站径流集中度减少的贡献率大于葛洲坝水利枢纽(贡献率分别为92.03%和7.97%);葛洲坝和三峡水利枢纽建成后,宜昌站径流重心提前8d(集中期从8月9日提前至7月31日);宜昌站进入枯水期的时间提前约20d(三峡大坝建设以前,宜昌站在12月7—11日进入枯水期,建设以后在11月底进入枯水期),水利工程对水文过程的影响可能导致下游枯水期污染加剧和湿地生境提前缩小,进而影响下游水环境和湿地生物多样性。上述结果定量揭示了水利工程对水文过程的影响及其潜在生态效应,可为认识水利工程的生态影响以及流域生态环境变化的驱动因素提供科学依据。     

An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation

This paper proposes a new formulation for the multi-objective optimal power flow (MOOPF) problem for meshed power networks considering distributed generation. An efficacious multi-objective fuzzy linear programming optimization (MFLP) algorithm is proposed to solve the aforementioned problem with and without considering the distributed generation (DG) effect. A variant combination of objectives is considered for simultaneous optimization, including power loss, voltage stability, and shunt capacitors MVAR reserve. Fuzzy membership functions for these objectives are designed with extreme targets, whereas the inequality constraints are treated as hard constraints. The multi-objective fuzzy optimal power flow (OPF) formulation was converted into a crisp OPF in a successive linear programming (SLP) framework and solved using an efficient interior point method (IPM). To test the efficacy of the proposed approach, simulations are performed on the IEEE 30-busand IEEE 118-bus test systems. The MFLP optimization is solved for several optimization cases. The obtained results are compared with those presented in the literature. A unique solution with a high satisfaction for the assigned targets is gained. Results demonstrate the effectiveness of the proposed MFLP technique in terms of solution optimality and rapid convergence. Moreover, the results indicate that using the optimal DG location with the MFLP algorithm provides the solution with the highest quality.     

Multi-Target Analysis and Design of Mitochondrial Metabolism

Analyzing and optimizing biological models is often identified as a research priority in biomedical engineering. An important feature of a model should be the ability to find the best condition in which an organism has to be grown in order to reach specific optimal output values chosen by the researcher. In this work, we take into account a mitochondrial model analyzed with flux-balance analysis. The optimal design and assessment of these models is achieved through single- and/or multi-objective optimization techniques driven by epsilon-dominance and identifiability analysis. Our optimization algorithm searches for the values of the flux rates that optimize multiple cellular functions simultaneously. The optimization of the fluxes of the metabolic network includes not only input fluxes, but also internal fluxes. A faster convergence process with robust candidate solutions is permitted by a relaxed Pareto dominance, regulating the granularity of the approximation of the desired Pareto front. We find that the maximum ATP production is linked to a total consumption of NADH, and reaching the maximum amount of NADH leads to an increasing request of NADH from the external environment. Furthermore, the identifiability analysis characterizes the type and the stage of three monogenic diseases. Finally, we propose a new methodology to extend any constraint-based model using protein abundances.     

Temporal changes in fish diversity in lotic and lentic environments along a reservoir cascade

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Optimising hydrological conditions to sustain wintering waterbird populations in Poyang Lake National Natural Reserve: implications for dam operations

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Comparative study on macroinvertebrate communities along a reservoir cascade in Xiangxi River Basin

Three cascade reservoirs (Gudongkou Reservoir 1 (GR1), Gudongkou Reservoir 2 (GR2), and Xiangxi Bay of Three-Gorge Reservoir in Xiangxi River Basin, China were selected to investigate macroinvertebrate ecology in a cascade reservoir system. Principal Components Analysis (PCA) implied that water quality was degrading along the reservoir cascade. Non-metric Multidimensional Scaling (NMS) showed that sampling stations located in the lacustrine zone of a reservoir are representatives in comparing macroinvertebrate assemblages along the reservoir cascade. Oligochaetes were numerically dominant in both GR1 and Xiangxi Bay, and chironomids were dominant in GR2. A similar pattern was also exhibited in taxon composition. Benthic assemblages of the 3 reservoirs were all dominated by pollution-tolerant taxa in spite of their differences in water quality. Canonical Correspondence Analysis (CCA) disclosed that turbidity influenced the benthic assemblages significantly. Total organic carbon (TOC)/Turbidity was applied to determine the influence of organic matter on turbidity. The ratio in GR2 was the lowest among the 3 reservoirs, which implicated that the influence of organic matter on turbidity was smaller in GR2 than in the other 2 reservoirs, suggesting that inorganic matter contributed substantially to the turbidity of GR2.     

Benthic indicators of sediment quality associated with run-of-river reservoirs

Freshwater ecosystems have been fragmented by the construction of large numbers of dams. In addition to disruption of ecological continuity and physical disturbance downstream, accumulation of large amounts of sediment within run-of-river reservoirs constitutes a latent ecotoxic risk to aquatic communities. To date, run-of-river reservoirs and ecotoxic risks associated with contaminated sediment to the biodiversity and functioning of such systems are little studied. Therefore, the main objective of this study was to describe macroinvertebrate assemblages, and the functioning of these systems, and to propose indicators of sediment contamination to integrate in in-situ risk assessment methodology. To identify specific assemblages of run-of-river reservoirs, we first compared macroinvertebrate assemblages and their biotrait profiles (i.e. from a database of biological and ecological traits) in reservoirs (n = 6) and associated river sites (upstream and downstream of dams). Then, we compared responses of assemblages and biotrait profiles to sediment contamination of the banks and channels of reservoirs to select the most useful spatial scale to identify sediment contamination. Nineteen indicator taxa were observed to be specifically associated with channel habitats of reservoirs. Among these, the abundance of three taxa (Tanypodinae (Diptera), Ephemerella (Ephemeroptera) and Atherix (Diptera)) revealed the effect of metal sediment contamination. “Between-reservoirs” differences in their biotrait profile were found along the contamination gradient, with a shift of communities’ composition and functionality, and an increase in functional similarity. Many traits (response traits), for example “maximum size”, “transverse distribution”, “substrate preferences”, “saprobity”, “temperature”, “resistance forms”, and “locomotion”, were specifically linked to contamination of sediments by metals. This study indicates how sediment contamination can change the structural and functional composition of run-of-river reservoir assemblages. Indicator taxa and response traits identified in this study could improve current risk assessment methodology and potentially enable prediction of the risks of contaminated sediments stored in reservoirs in downstream ecosystems.     

Comparative study on macroinvertebrate communities along a reservoir cascade in Xiangxi River Basin

Three cascade reservoirs (Gudongkou Reservoir 1 (GR1), Gudongkou Reservoir 2 (GR2), and Xiangxi Bay of Three-Gorge Reservoir in Xiangxi River Basin, China were selected to investigate macroinvertebrate ecology in a cascade reservoir system. Principal Components Analysis (PCA) implied that water quality was degrading along the reservoir cascade. Non-metric Multidimensional Scaling (NMS) showed that sampling stations located in the lacustrine zone of a reservoir are representatives in comparing macroinvertebrate assemblages along the reservoir cascade. Oligochaetes were numerically dominant in both GR1 and Xiangxi Bay, and chironomids were dominant in GR2. A similar pattern was also exhibited in taxon composition. Benthic assemblages of the 3 reservoirs were all dominated by pollution-tolerant taxa in spite of their differences in water quality. Canonical Correspondence Analysis (CCA) disclosed that turbidity influenced the benthic assemblages significantly. Total organic carbon (TOC)/Turbidity was applied to determine the influence of organic matter on turbidity. The ratio in GR2 was the lowest among the 3 reservoirs, which implicated that the influence of organic matter on turbidity was smaller in GR2 than in the other 2 reservoirs, suggesting that inorganic matter contributed substantially to the turbidity of GR2.     

湖泊水库结构生态动态模型

综述了湖泊水库结构生态动态模型的研究进展及其在湖泊水库环境生态模拟中的应用。结果表明,热力学理论为获取湖泊水库生态系统的特性提供了一条整体性的途径,热力学概念“Ｙｏｎｇ”可将生态学理论（达尔文理论）和热力学理论（最大Ｙｏｎｇ原理）很好地联系起来。引入Ｙｏｎｇ后,许多重要模型参数的目标函数可根据最大Ｙｏｎｇ原理获得,达尔文“达者生存”理论可被定量为一个生态约束条件用于发展湖泊水库结构生态结构模型,从