为探究灌区考虑水质水量耦合模拟优化的水资源优化配置模型与方法,基于FloPy和Pymoo构建了水量水质耦合的多目标模拟优化模型。采用地下水数值模拟模型MODFLOW和溶质输移模型MT3D模拟了灌溉引起的地下水位变化和污染物的扩散过程,考虑...为探究灌区考虑水质水量耦合模拟优化的水资源优化配置模型与方法,基于FloPy和Pymoo构建了水量水质耦合的多目标模拟优化模型。采用地下水数值模拟模型MODFLOW和溶质输移模型MT3D模拟了灌溉引起的地下水位变化和污染物的扩散过程,考虑灌溉收益、作物水分生产率、地下水位变幅和污染扩散4个目标,分别采用多目标遗传算法NSGA-Ⅱ和NSGA-Ⅲ对该问题进行求解,并对比分析了两种方法的实际应用效果。采用多准则分析评价方法TOPSIS(Technique for Order Preference by Similarity to Ideal Solution),推荐了灌溉方案。推荐灌溉方案在平水年和枯水年分别可以最大减少地下水位变幅56%和43%,最大减少污染扩散面积54%和40%。展开更多
国内外用于地下水流和污染物运移的模拟软件很多,但用于地下水系统模拟优化的软件极少。在概略介绍一款模块化地下水模拟优化软件MGO基础上,利用该软件并选取遗传算法对美国犹他州某一地下水污染场地抽取-处理(pump and treat,PAT)系统...国内外用于地下水流和污染物运移的模拟软件很多,但用于地下水系统模拟优化的软件极少。在概略介绍一款模块化地下水模拟优化软件MGO基础上,利用该软件并选取遗传算法对美国犹他州某一地下水污染场地抽取-处理(pump and treat,PAT)系统的模拟优化模型进行求解,寻求最优动态抽水处理方案。结果表明:在优化后的动态管理策略下,管理期内PAT系统的总抽水量减小9.89%,使抽水成本和污染物处理成本相应减少,优化后的总成本较优化前减少11.27%。实例研究表明:MGO能够有效求解地下水PAT系统模拟-优化模型,可推广应用于大型场地条件下基于水力控制的地下水污染治理方案的优化实践。展开更多
This paper proposes a new storage allocation rule based on target storage curves. Joint operating rules are also proposed to solve the operation problems of a multi-reservoir system with joint demands and water transf...This paper proposes a new storage allocation rule based on target storage curves. Joint operating rules are also proposed to solve the operation problems of a multi-reservoir system with joint demands and water transfer-supply projects. The joint operating rules include a water diversion rule to determine the amount of diverted water in a period, a hedging rule based on an aggregated reservoir to determine the total release from the system, and a storage allocation rule to specify the release from each reservoir. A simulation-optimization model was established to optimize the key points of the water diversion curves, the hedging rule curves, and the target storage curves using the improved particle swarm optimization （IPSO） algorithm. The multi-reservoir water supply system located in Liaoning Province, China, including a water transfer-supply project, was employed as a case study to verify the effectiveness of the proposed join operating rules and target storage curves. The results indicate that the proposed operating rules are suitable for the complex system. The storage allocation rule based on target storage curves shows an improved performance with regard to system storage distribution.展开更多
The slope instability and uneven settlement caused by the foundation pit dewatering pose a great threat to the project and surrounding environment.Thus,it is necessary to carry out optimization design of the foundatio...The slope instability and uneven settlement caused by the foundation pit dewatering pose a great threat to the project and surrounding environment.Thus,it is necessary to carry out optimization design of the foundation pit dewatering project.To solve this problem,this paper introduces the simulation-optimization method and establishes the groundwater model based on MODFLOW-2005.The local grid refinement(LGR)technique is employed to achieve the refinement of dewatering area.Under the premise of construction safety,the minimum cost of the project is set as the objective function to solve the optimization problem of foundation pit engineering with GWM-2005.The results show that the optimization with GWM-2005 will be more accurate combined with the LGR model,but the improvement of the optimization is not obvious.It is necessary to choose a suitable local refinement model considering the engineering requirement.展开更多
文摘为探究灌区考虑水质水量耦合模拟优化的水资源优化配置模型与方法,基于FloPy和Pymoo构建了水量水质耦合的多目标模拟优化模型。采用地下水数值模拟模型MODFLOW和溶质输移模型MT3D模拟了灌溉引起的地下水位变化和污染物的扩散过程,考虑灌溉收益、作物水分生产率、地下水位变幅和污染扩散4个目标,分别采用多目标遗传算法NSGA-Ⅱ和NSGA-Ⅲ对该问题进行求解,并对比分析了两种方法的实际应用效果。采用多准则分析评价方法TOPSIS(Technique for Order Preference by Similarity to Ideal Solution),推荐了灌溉方案。推荐灌溉方案在平水年和枯水年分别可以最大减少地下水位变幅56%和43%,最大减少污染扩散面积54%和40%。
文摘国内外用于地下水流和污染物运移的模拟软件很多,但用于地下水系统模拟优化的软件极少。在概略介绍一款模块化地下水模拟优化软件MGO基础上,利用该软件并选取遗传算法对美国犹他州某一地下水污染场地抽取-处理(pump and treat,PAT)系统的模拟优化模型进行求解,寻求最优动态抽水处理方案。结果表明:在优化后的动态管理策略下,管理期内PAT系统的总抽水量减小9.89%,使抽水成本和污染物处理成本相应减少,优化后的总成本较优化前减少11.27%。实例研究表明:MGO能够有效求解地下水PAT系统模拟-优化模型,可推广应用于大型场地条件下基于水力控制的地下水污染治理方案的优化实践。
基金supported by the National Natural Science Foundation of China(Grants No.51339004 and 71171151)
文摘This paper proposes a new storage allocation rule based on target storage curves. Joint operating rules are also proposed to solve the operation problems of a multi-reservoir system with joint demands and water transfer-supply projects. The joint operating rules include a water diversion rule to determine the amount of diverted water in a period, a hedging rule based on an aggregated reservoir to determine the total release from the system, and a storage allocation rule to specify the release from each reservoir. A simulation-optimization model was established to optimize the key points of the water diversion curves, the hedging rule curves, and the target storage curves using the improved particle swarm optimization （IPSO） algorithm. The multi-reservoir water supply system located in Liaoning Province, China, including a water transfer-supply project, was employed as a case study to verify the effectiveness of the proposed join operating rules and target storage curves. The results indicate that the proposed operating rules are suitable for the complex system. The storage allocation rule based on target storage curves shows an improved performance with regard to system storage distribution.
基金funded by Nanning Rail Transit Co., Ltd.the joint Foundation of Key Laboratory of Institute of Hydrogeology and Environmental Geology CAGS grant number (KF201611)
文摘The slope instability and uneven settlement caused by the foundation pit dewatering pose a great threat to the project and surrounding environment.Thus,it is necessary to carry out optimization design of the foundation pit dewatering project.To solve this problem,this paper introduces the simulation-optimization method and establishes the groundwater model based on MODFLOW-2005.The local grid refinement(LGR)technique is employed to achieve the refinement of dewatering area.Under the premise of construction safety,the minimum cost of the project is set as the objective function to solve the optimization problem of foundation pit engineering with GWM-2005.The results show that the optimization with GWM-2005 will be more accurate combined with the LGR model,but the improvement of the optimization is not obvious.It is necessary to choose a suitable local refinement model considering the engineering requirement.
