Reservoir Optimization-Simulation with a Sediment Evacuation Model to Minimize Irrigation Deficits

Importance of existing reservoirs for supplying fresh water has increased significantly due to population increase and enhanced living standards, while the reduced development of new reservoirs in recent decades has made it even more pertinent that the current battery of reservoirs be operated in a sustainable and efficient manner. In order to move a step towards the goal of sustainability, sediment evacuation must be considered when optimizing a reservoir??s operations. The Reservoir Optimization-Simulation with Sediment Evacuation (ROSSE) model is a recently developed tool which internalizes sediment evacuation routines and the simulation module in a newly developed GA-based optimization module. This article applies the ROSSE model with the aim of minimizing irrigation shortages in the Tarbela Reservoir, Pakistan. The article also calculates the suitable values of various GA parameters required to run the model through a sensitivity analysis. Simulation results of three sets of rule curves??one existing and two optimized sets??are compared with each other for parameters like irrigation shortage, power generation, sediment evacuation and flood dis-benefits (damages). It is found that the optimized rule curves of scenario 1 reduce the irrigation shortages by 39?% while the optimized rule curves of scenario 2 can reduce the irrigation shortages by 24?% of that of the shortages by existing rule curves. The optimized rule curves of scenario 2 also ensure the current level of hydropower generation and sediment evacuation for the Tarbela reservoir. The study recommends a change in the reservoir??s existing rule curves in order to reduce irrigation shortages. The incorporation of the sediment evacuation routine and availability of economic and hydro based objective functions in the optimization model will help achieving the goal of sustainability.     

Simulating Reservoir Management under the Threat of Sedimentation: The Case of Tarbela Dam on the River Indus

The useful life of Tarbela reservoir, on the River Indus, is threatened by a sediment delta which is approaching the dam'sintake tunnels; these lead to a hydroelectric power station and are used for irrigation releases. This article describes thesimulated system, involving Tarbela Dam, with Ghazi Barotha hydropower scheme downstream, and the planned construction of Basha Dam upstream. This study formed an innovative approachwhich enabled the relationship between demands and supply in the basin to be studied, under a range of development and operating scenarios, and to different time horizons. A computer software package, 'Hydro', was used to perform systemsimulation modelling of Tarbela Dam and the Upper Indus Basin,Pakistan. The results enabled estimation of the economic benefits of several potential future operating strategies forTarbela to be tested and compared. Employing the results of associated sediment modelling, projected storage/elevation curves were used to predict the irrigation and power benefitsavailable to Pakistan over the coming sixty years. It wassubsequently demonstrated that the most beneficial remedial measures are an underwater dike or dam to protect the intakes,and low-level flushing facilities.     

Multiobjective water resources systems analysis using genetic algorithms--application to Chou-Shui River Basin, Taiwan.

Multipurpose operation is adopted by most reservoirs in Taiwan in order to maximize the benefits of power generation, water supply, irrigation and recreational purposes. A multiobjective approach can be used to obtain trade-off curves among these multipurpose targets. The weighting method, in which different weighting factors are used for different purposes, was used in this research work. In Taiwan, most major reservoirs are operated by rule curves. Genetic algorithms with characteristics of artificial intelligence were applied to obtain the optimal rule curves of the multireservoir system under multipurpose operation in Chou-Shui River Basin in central Taiwan. The model results reveal that different shapes of rule curves under different weighting factors on targets can be efficiently obtained by genetic algorithms. Pareto optimal solutions for a trade-off between water supply and hydropower were obtained and analyzed.     

Derivation of Aggregation-Based Joint Operating Rule Curves for Cascade Hydropower Reservoirs

Operating rule curves have been widely applied to reservoir operation, due to their ease of implementation. However, these curves are generally used for single reservoirs and have rarely been applied to cascade reservoirs. This study was conducted to derive joint operating rule curves for cascade hydropower reservoirs. Steps in the proposed methodology include: (1) determining the optimal release schedule using dynamic programming to solve a deterministic long-term operation model, (2) identifying the forms of operating rule curves suitable for cascade hydropower reservoirs based on the optimal release schedule, (3) constructing a simulation-based optimization model and then using the non-dominated sorting genetic algorithm-II (NSGA-II) to identify the key points of the operating rule curves, (4) testing and verifying the efficiency of the generated joint operating rule curves using synthetic inflow series. China’s Qing River cascade hydropower reservoirs (the Shuibuya, Geheyan and Gaobazhou reservoirs) were selected for a case study. When compared with the conventional operating rule curves, the annual power generation can be increased by 2.62% (from 7.27 to 7.46 billion kWh) using the observed inflow from 1951 to 2005, as well as by about 1.77% and 2.52% using the synthetic inflows generated from two alternative hydrologic simulation methods. Linear operating rules were also implemented to simulate coordinated operation of the Qing River cascade hydropower reservoirs. The joint operating rule curves were more efficient and reliable than conventional operating rule curves and linear operating rules, indicating that the proposed method can greatly improve hydropower generation and work stability.     

Conjunctive Operation of Reservoirs and Ponds Using a Simulation-Optimization Model of Irrigation Systems

Water resource management in arid agricultural irrigation regions is a great challenge for managers and decision makers. In some of those regions, many ponds have been built to ensure an adequate water supply for irrigation. Therefore, reservoirs and ponds should be managed conjunctively to minimize shortages of water. In this study, a new integrated mathematical model of conjunctive, or integrated, operation of reservoirs and ponds to maximize the water supply has been proposed for a reservoir-pond irrigation system. This objective has been achieved via the use of two models: an optimal model, which is used to determine the optimal discharge of reservoirs, and a simulation model, which considers the regulatory role of ponds and reservoirs and simulates their water supply to the irrigation system. An adaptive genetic algorithm has been employed in this study to solve the nonlinear and multi-dimensional reservoirs optimization problem. This methodology has been applied to the Yarkant River Basin to demonstrate its applicability, and three scenarios are presented. The main objective of the simulation-optimization model in the Yarkant River Basin is to minimize shortages in meeting irrigation demands for nine sub-irrigation systems subject to the constraint of ecological water transfer to the Tarim River. The optimizing effect of the model was particularly prominent under the third scenario, i.e., the XBD, MMK, and ART Reservoirs and 16 ponds conjunctively operated to meet the water demand of the YKB. The frequency of success (FS) in meeting agricultural water demands reaches up to 75%, and the value for ecological demand is 50.98%. The results demonstrate the importance of the conjunctive combined use approach for management of water resources in irrigation system of arid regions.     

岷江流域水库建设对水沙输移的影响

岷江作为长江上游重要支流,为川西和成都平原社会经济发展提供了重要支撑。相较于长江其他主要支流,岷江流域整体水电开发时间略晚。近年来,岷江流域水库建设工程不断增多,流域水沙情况开始变化。根据实测资料,运用水沙过程线法和径流量-输沙量双累计曲线法,初步分析岷江水库建设特点、水沙输移变化,以及二者之间的联系。结果表明:水库数量和总库容分别在1970年和2005年后有了较大的提升,水库建设的趋势是由干流深入到支流,虽然近年水库建设数量减少,但高坝大库逐渐增多;随着建坝技术水平的提高,逐渐由易建造的土坝变为筑坝难度高的其它坝型;由于水库调控能力、拦沙作用的增强,流域主汛期径流量、输沙量出现坦化现象,年径流量和年输沙量在1990年后均有减小趋势,且年输沙量减少的趋势更明显。近期高场站年输沙量变化与岷江水库建设有着一定的负相关关系,随着岷江流域水库总库容的进一步增大,这种相关关系增强,且在汛期体现得更为明显。     

Valorization of Irrigation Water in A Basin with Large Hydropower Production through Coupled Hydrological and Electric System Modelling

The problem of allocation of limited water resources for multiple and diverse activities with growing demand calls for the need to develop appropriate tools for water valorization. This work develops a methodology to estimate the economic value of water in a basin with large hydropower production and a growing demand for rice irrigation, based on a coupled hydrological and electric system modelling approach. Inflow deficits to the hydroelectric system induced by the irrigation reservoirs within the basin are simulated under different irrigation scenarios. The simulated inflow deficits are integrated to an existing model of the interconnected electric system to evaluate the associated increase in generation costs under different energy scenarios. The impact of inflow deficits in turbinated and spilled flow and generation costs are comprehensively explored. Both annual mean and interannual variability of overcosts increase with increasing irrigation demand. However, if normalized by yearly varying rice planted area, the distribution of additional costs does not change substantially. Moreover, the distribution of normalized overcosts per unit irrigated area is also invariant to energy scenarios, although the relative impact in total costs decreases as the proportion of hydroelectric generation diminishes.     

How would the Rogun Dam affect water and energy scarcity in Central Asia?

The construction of the Rogun Dam in the Amu Darya Basin to increase upstream energy generation creates potential trade-offs with existing downstream irrigation, due to the different timing of energy and irrigation water demands. The present analysis, based on a hydro-economic optimization model, shows that cooperative basin-wide maximization of benefits would lead to large increases in upstream hydropower production and only minor changes in downstream irrigation benefits. However, if upstream stations, including Rogun, are managed unilaterally to maximize energy production, hydropower benefits might more than double while irrigation benefits greatly decrease, thereby substantially reducing overall basin benefits.     

Joint Operation and Dynamic Control of Flood Limiting Water Levels for Cascade Reservoirs

Reservoirs are among the most effective tools for integrated water resources development and management. The dynamic control of reservoir flood limiting water level (FLWL) is a valuable and effective method to compromise the flood control and conservation for reservoir operation during the flood season. This paper focuses on joint operation and dynamic control of FLWL for cascade reservoirs. A composition and decomposition-based model that consists of an aggregation module, a storage decomposition module and a simulation operation module was developed. The model was applied to the Qingjiang basin in south of China using the 3-hour inflow data series for representative hydrological years. Application results indicate that the proposed model can make an effective tradeoff between the flood control and hydropower generation. Joint operation and dynamic control of FLWL can increase power production by 4.51 % (1.79?×?10⁸?kWh) and increase water use rate by 2.73 %. It can enhance benefits of the Qingjiang cascade reservoirs without compromising flood prevention objectives.     

黄河梯级水库群多过程协同调度模型与方法

黄河水少沙多,河道内外用水矛盾突出,梯级水库群调度下供水、输沙、发电、生态等用水过程之间存在复杂的竞争与协作关系,协同调度是提升综合效益的重要途径。本文采用多尺度嵌套和多过程耦合方法,建立了融合供水、输沙、发电、生态等过程的黄河梯级水库群协同调度模型,研究以综合满意度为引导的优化求解方法,选取代表径流系列,提出多过程协同调度方案。结果表明,通过优化黄河梯级水库群蓄泄秩序和下泄过程,协调多用水过程的关系,能显著提高水库调度的综合效益:通过优化河段取水过程,实现了供水时空均衡,流域缺水率控制在11.6%~18.8%;优化水库拦沙-河道输沙过程,减少水库淤积0.65亿t,增加河道输沙1.16亿t,下游河道年均冲刷0.26亿t;优化梯级水库群发电下泄过程,增加发电量64.25亿kW·h;优化断面流量过程,增加非汛期生态水量4.88亿m³。本研究可为梯级水库多目标调度与流域综合管理提供方向性参考。     

Estimating the sediment trap efficiency and lifespan of cascaded reservoirs in the Upper Yangtze River Basin,China

The cascaded reservoirs in the Upper Yangtze River Basin (UYRB) are subject to sediment inflow and deposition, resulting in reduction in their effective capacity. The sediment trap efficiency (TE) of the cascaded reservoirs was estimated using several empirical methods, and the factors affecting the TE also were analysed. A new empirical formula was obtained to calculate the TE of the small reservoirs (storage capacity C < 0.5 km³) in the UYRB. Further, four zones were partitioned to describe the relationship between the sediment trap effect and the service function of the reservoirs. The TEs of Xiluodu, Xiangjiaba and Ertan Reservoirs in the UYRB were investigated and compared between stand‐alone and combined operation modes, indicating the TE will be underestimated without considering the cumulative sediment trap of the cascaded reservoirs. Finally, the lifespan of the Xiluodu Reservoir, considering different water storage schemes and different capacity loss percentages, was estimated using the TE method and exhibited good agreement with the results calculated by the mathematical model. The derived TE calculation method under the combined operation of the cascaded reservoirs can be used to assess the sediment trap from the complex hydroelectric project system in the UYRB.     

Assessing sediment inputs to small reservoirs in Upper East Region,Ghana

Many small dams and dugouts have been constructed in the Upper East Region of Ghana to address the problem of regional water scarcity. The reservoirs were constructed primarily as water supplies for agricultural irrigation and livestock watering, aquaculture and domestic use. However, many of the reservoirs dry up during the dry season, affecting the livelihoods of their basin inhabitants. A major cause for the dried reservoirs is siltation, which reduces the reservoir’s storage capacities. The goal of this study is to quantify the annual siltation rate of four study reservoirs, using a bathymetric survey and reservoir soil sampling. The sediment yield and its relation to catchment area also were assessed. The results of this study indicate that the annual siltation rates are 1272, 3518, 2764 and 6135 t year^?1 for Doba, Dua, Zebilla and Kumpalgogo reservoirs, respectively. Analyses of the sediment yield and catchment areas illustrated that the sediment yields decreased with increasing catchment area. All the study reservoirs have lost their dead storage capacity, which was meant to store sediment until the end of their anticipated design lives. The decreasing storage capacity because of siltation will affect the livelihoods of the local basin inhabitants, as the reservoirs will not be able to achieve all their intended purposes. The results of this study indicate that, because siltation is not the only factor threatening the benefits gained from the reservoirs, the integrated assessment of all relevant factors is required.     

基于MIKE BASIN的水库供水 调度模型构建

以永定河官厅山峡区间为研究对象,建立了综合考虑水电站经济效益和河道生态需水的 MIKE BASIN供水调度模型,并进行了优化求解。得到的官厅山峡电站最优供水调度计划,能够满足 50%以上生态基流量,维持泥沙运移平衡,水质l类以上,河流景观恢复,物种生境繁衍。     

Development and application of a simulation model for reservoir management

The success of irrigation system operation and planning depends on accurate quantification of supply and demand, and an equitable distribution of available water. The ultimate aim of this study was to determine how to meet the irrigation water demands if possible or to minimize the gap between the water supply and the demand. Most of the irrigation literature focuses only on the demand and the distribution aspects of this issue Irrigation projects that receive water from reservoirs, however, can be challenging to manage because the annual fluctuations in available water release from a reservoir can have a considerable impact on the irrigation management strategy. In real‐world situations, the reservoir operating rules guide reservoir operators in making actual water release decisions. This study develops a water balance simulation model for reservoir management, as well as testing it for Kangsabati Reservoir, West Bengal, India. Two rule curves for deciding irrigation water available from the reservoir were generated by taking the average and minimum stage values on a daily basis for a 16‐year period (1988–2003). Maintaining a minimum stage of 120.4 m throughout the year served as another rule to decide the release water available for irrigation. The minimum allowable stage of reservoir corresponding to a particular date of the year can be determined from those reservoir specific rule curves generated for irrigation purposes. The maximum permissible water release/outflow for irrigation from the test reservoir was taken as the volume of water available above the minimum allowable stage corresponding to the selected rule curve. The saturated hydraulic conductivity value (K_S) was calibrated to be 4.31 mm day^?1 for Kangsabati Reservoir.     

A Multi-Objective Optimization Model for Coordinated Regulation of Flow and Sediment in Cascade Reservoirs

This paper presents a multi-objective optimization model for the coordinated regulation of flow and sediment in cascade reservoirs. The model was developed to address two contradicting issues: sediment trapping and flow regulation. The benefits of flood control, hydropower generation and navigation, and sedimentation in cascade reservoirs were considered as the target functions; then the corresponding submodels for reservoir operation and sediment computation were established. The model was implemented by reducing it to a single objective nonlinear model using the constraint method. Non-inferior solutions were obtained by solving the model with catfish effect particle swarm optimization algorithm. The model was applied to the cascade system of Xiluodu and Xiangjiaba reservoirs in the lower Jinsha River in the flood recession period. Under the safety of flood control and navigation, a non-inferior set for impounding time, power generation, and siltation-loss rate of capacity was obtained and optimal solutions with different weights were derived. The results demonstrate that the model is a useful tool in coordinated operations of cascade reservoirs.     

陕南山区中小水库排沙运用

陕南山区中小型水库泥沙淤积问题日益严重，兴利效益降低。通过多年来对陕南商州市南不库和二龙山水库的排沙观测及试验研究表明，利用异重流、浑水水库排泄悬移质泥沙，可以减缓水库淤积，而且排沙耗水少，对以悬移质来沙为主的水库，效果尤为显著，定期泄空冲刷，可以恢复水库已淤库容，使水库保持一定有效库容长期使用，泄空时机一般在汛末或汛初。     

Water management problems in a rapidly developing area: The hunter region of new south Wales

A rapid phase of resource development and industrial expansion in the Hunter region of New South Wales has brought into focus the impotence of an antiquated structure of water administration. The Hunter development boom, which has been inspired by the region's immense coal reserves, has given rise to a popular belief that severe water shortages existed and that such shortages threatened the very great benefits portended by resource development. However, it is found that the emerging high value demands will not cause significant stresses on the supply system until well into the next decade. Rather, the current perspective of water shortages within the region is found to be a function of the water tariff structure for irrigation and the ironic result is observed that planned supply augmentation will result in additional large volumes of water being diverted to irrigation, at great social cost. At the same time the existing characteristics of water shortages are likely to remain as a consequence of the existing institutional structure. The possibility of institutional reform to achieve more beneficial water use as well as to abrogate existing water shortages is then outlined.     

Model-Based Optimization of Downstream Impact during Filling of a New Reservoir: Case Study of Mandaya/Roseires Reservoirs on the Blue Nile River

The aim of this paper is to develop a methodology based on coupled simulation-optimization approach for determining filling rules for the proposed Mandaya Reservoir in Ethiopia with minimum impact on hydropower generation downstream at Roseires Reservoir in Sudan, and ensuring power generation at Mandaya Reservoir in Ethiopia. The Multi-Objective Optimization (MOO) approach for reservoir optimization presented in this paper is a combination of simulation and optimization models, which can assist decision making in water resource planning and management (WRPM). The combined system of reservoirs is set in MIKE BASIN Simulation model, which is then used for simulation of a limited set of feasible filling rules of the Mandaya reservoir according to the current storage level, the inflow, and the time of the year. The same simulation model is then coupled with Multi-Objective optimization Non-dominated Sorting Genetic Algorithm (NSGA-II), which is adopted for determining optimial filling rules of the Mandaya Reservoir. The optimization puts focus on maximization of hydropower generation in both the Mandaya and the Roseires Reservoirs. The results demonstrate that optimal release- (and correspondingly filling-) rules for Mandaya Reservoir which maximize the hydropower generation in both Mandaya and Roseires reservoirs can be found. These rules are determined along the Pareto frontier obtained by the optimization algorithm, which can serve as a decision support tool for choosing the actual filling rule. The results also showed that the NSGA- II is an efficient and powerful tool that could assist decision makers for solving optimization problems in complex water resource systems.     

The Economics of Reservoir Sedimentation: A Case Study of Mahaweli Reservoirs in Sri Lanka

Benefits of water resource projects often fall short of original expectations owing to sedimentation of reservoirs. This study estimates the cost of reservoir sedimentation in Mahaweli reservoirs including impact on hydropower production, irrigation water supply, extra cost of water purification and loss of fisheries yields. The present value of the cost of sedimentation is estimated to be US$26 406 620. Of the different types of costs, lost hydropower production is the most significant as it accounts for 66.6% of the total cost. The benefits of prevention of reservoir sedimentation alone are inadequate to compensate for the costs involved. Using soil erosion control measures at farm level offers a better solution for reservoir sedimentation compared with de-silting. Among the available erosion control methods, stoned terrace is the least-cost solution to reservoir sedimentation.     

水库补偿效益分配问题研究

水库补偿效益分配的步骤:一是确定水库补偿效益的施益方和受益方;二是计算水库补偿效益值;三是选择科学合理并能使各方较满意的分配方法.在分析水库补偿效益不确定性、可变性和博弈性的基础上,探讨了梯级水库串联式发电和并联式水库发电补偿效益影响因子的识别方法.水库补偿效益的分配方法主要有多目标综合分析法、模糊综合评判法、熵权法、离差平方法等,但都存在不足,需要进一步研究完善.