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731.
732.
Optimization of the Sefid-Roud Dam desiltation process using a sophisticated one-dimensional numerical model 总被引:1,自引:0,他引:1
Ali KHOSRONEJAD 《国际泥沙研究》2009,24(2):189-200
Although water and soil conservation activities reduce reservoir sedimentation, it is inevitable that reservoirs fed by rivers transporting high amounts of sediment will experience sedimentation. The Ghezel-Ozan and Shah-Roud rivers, which flow to the Sefld-Roud reservoir dam, are both highly sediment-laden and transport significant amounts of sediment in both bed load and suspended load forms to the reservoir. Hence, it seems that the only practical way to remove the sediment from the reservoir is to flush it out using the Chasse method. In the present paper, field measurements of Chasse operation characteristics taken in previous years are presented, and a numerical model that simulates this process is introduced. After calibrating the model using field measured data, the calculated results (for reservoir pressure flushing and released sediment volume) of the numerical model were compared with other measured data for the same Chasse operation and the results agree well. Finally, using the numerical simulation results, the best approaches to ensure highly effective flushing while conserving reservoir water are presented (at least for the Sefid-Roud dam). The operation of the bottom outlet gates, the shape of the output hydrograph, and the reservoir water level variation during flushing were optimized. In addition, the numerical model and related parameters, which need to be calibrated, are discussed. 相似文献
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734.
Evaluation of stochastic reservoir operation optimization models 总被引:5,自引:0,他引:5
This paper investigates the performance of seven stochastic models used to define optimal reservoir operating policies. The models are based on implicit (ISO) and explicit stochastic optimization (ESO) as well as on the parameterization–simulation–optimization (PSO) approach. The ISO models include multiple regression, two-dimensional surface modeling and a neuro-fuzzy strategy. The ESO model is the well-known and widely used stochastic dynamic programming (SDP) technique. The PSO models comprise a variant of the standard operating policy (SOP), reservoir zoning, and a two-dimensional hedging rule. The models are applied to the operation of a single reservoir damming an intermittent river in northeastern Brazil. The standard operating policy is also included in the comparison and operational results provided by deterministic optimization based on perfect forecasts are used as a benchmark. In general, the ISO and PSO models performed better than SDP and the SOP. In addition, the proposed ISO-based surface modeling procedure and the PSO-based two-dimensional hedging rule showed superior overall performance as compared with the neuro-fuzzy approach. 相似文献
735.
Probabilistic reservoir operation using Bayesian stochastic model and support vector machine 总被引:3,自引:0,他引:3
Available water resources are often not sufficient or too polluted to satisfy the needs of all water users. Therefore, allocating water to meet water demands with better quality is a major challenge in reservoir operation. In this paper, a methodology to develop operating strategies for water release from a reservoir with acceptable quality and quantity is presented. The proposed model includes a genetic algorithm (GA)-based optimization model linked with a reservoir water quality simulation model. The objective function of the optimization model is based on the Nash bargaining theory to maximize the reliability of supplying the downstream demands with acceptable quality, maintaining a high reservoir storage level, and preventing quality degradation of the reservoir. In order to reduce the run time of the GA-based optimization model, the main optimization model is divided into a stochastic and a deterministic optimization model for reservoir operation considering water quality issues.The operating policies resulted from the reservoir operation model with the water quantity objective are used to determine the released water ranges (permissible lower and upper bounds of release policies) during the planning horizon. Then, certain values of release and the optimal releases from each reservoir outlet are determined utilizing the optimization model with water quality objectives. The support vector machine (SVM) model is used to generate the operating rules for the selective withdrawal from the reservoir for real-time operation. The results show that the SVM model can be effectively used in determining water release from the reservoir. Finally, the copula function was used to estimate the joint probability of supplying the water demand with desirable quality as an evaluation index of the system reliability. The proposed method was applied to the Satarkhan reservoir in the north-western part of Iran. The results of the proposed models are compared with the alternative models. The results show that the proposed models could be used as effective tools in reservoir operation. 相似文献
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738.
从马氏珠母贝(Pinctada martensii)插核部位蘸取组织液分离弧菌,研究插核手术前后室内休养3 d时伤口部位弧菌类型的变化,比较使用不同小片和珠核处理液对手术伤口部位弧菌类型的影响。形态和生理生化特征分型和鉴定结果显示,插核前和休养期贝样上分离的优势弧菌类型无明显差异,只是休养期弧菌的分离频率有所下降;从术后不同处理组的马氏珠母贝伤口上均分离得到7个类型弧菌,弧菌所属的种类也一致,而从未插核的对照组相应部位上只分离到4个类型弧菌,除未分离到副溶血弧菌(Vibrio parahaemolyticus)外,对照组与两个处理组贝样上分离到的弧菌种类基本上一致。 相似文献
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740.
以南海某平台组块海上拖航作业为例,阐述风险评估的基本流程;针对海上拖航过程提出一套具体、实用的风险辨识、事故树建立以及建立风险控制措施的方案;同时给出一种将风险因素定性计算予以量化的方法,即风险值计算方法,并且针对海油工程确定风险值标准. 相似文献