In this study, we simulated water flow in a water conservancy project consisting of various hydraulic structures, such as sluices, pumping stations, hydropower stations, ship locks, and culverts, and developed a multi...In this study, we simulated water flow in a water conservancy project consisting of various hydraulic structures, such as sluices, pumping stations, hydropower stations, ship locks, and culverts, and developed a multi-period and multi-variable joint optimization scheduling model for flood control, drainage, and irrigation. In this model, the number of sluice holes, pump units, and hydropower station units to be opened were used as decision variables, and different optimization objectives and constraints were considered. This model was solved with improved genetic algorithms and verified using the Huaian Water Conservancy Project as an example. The results show that the use of the joint optimization scheduling led to a 10% increase in the power generation capacity and a 15% reduction in the total energy consumption. The change in the water level was reduced by 0.25 m upstream of the Yundong Sluice, and by 50% downstream of pumping stations No. 1, No. 2, and No. 4. It is clear that the joint optimization scheduling proposed in this study can effectively improve power generation capacity of the project, minimize operating costs and energy consumption, and enable more stable operation of various hydraulic structures. The results may provide references for the management of water conservancy projects in complex river networks.展开更多
为解决交通网络与供水管网之间耦合关系所引发各类突发事件级联失效作用及其建模量化问题,以上海市中心城区为案例,利用出租车GPS数据及道路、供水管网GIS(Geographic Information System)数据,通过空间匹配和时间属性融合建立动态耦合...为解决交通网络与供水管网之间耦合关系所引发各类突发事件级联失效作用及其建模量化问题,以上海市中心城区为案例,利用出租车GPS数据及道路、供水管网GIS(Geographic Information System)数据,通过空间匹配和时间属性融合建立动态耦合网络,基于渗流理论提出网络影响力指数用于量化级联失效影响。结果表明,交通网络和供水管网之间存在显著的时空耦合效应,尤其在高峰时段供水管网的失效对交通网络的连通性和运行效率产生了直接影响。同时,通过构建解耦策略,提出管网规划和维护优化方案,可减少2个网络之间跨网络级联失效影响,可为提升城市关键基础设施韧性安全与运行可靠性提供参考。展开更多
基金supported by the Water Conservancy Science and Technology Project of Jiangsu Province(Grant No.2012041)the Jiangsu Province Ordinary University Graduate Student Research Innovation Project(Grant No.CXZZ13_0256)
文摘In this study, we simulated water flow in a water conservancy project consisting of various hydraulic structures, such as sluices, pumping stations, hydropower stations, ship locks, and culverts, and developed a multi-period and multi-variable joint optimization scheduling model for flood control, drainage, and irrigation. In this model, the number of sluice holes, pump units, and hydropower station units to be opened were used as decision variables, and different optimization objectives and constraints were considered. This model was solved with improved genetic algorithms and verified using the Huaian Water Conservancy Project as an example. The results show that the use of the joint optimization scheduling led to a 10% increase in the power generation capacity and a 15% reduction in the total energy consumption. The change in the water level was reduced by 0.25 m upstream of the Yundong Sluice, and by 50% downstream of pumping stations No. 1, No. 2, and No. 4. It is clear that the joint optimization scheduling proposed in this study can effectively improve power generation capacity of the project, minimize operating costs and energy consumption, and enable more stable operation of various hydraulic structures. The results may provide references for the management of water conservancy projects in complex river networks.
文摘为解决交通网络与供水管网之间耦合关系所引发各类突发事件级联失效作用及其建模量化问题,以上海市中心城区为案例,利用出租车GPS数据及道路、供水管网GIS(Geographic Information System)数据,通过空间匹配和时间属性融合建立动态耦合网络,基于渗流理论提出网络影响力指数用于量化级联失效影响。结果表明,交通网络和供水管网之间存在显著的时空耦合效应,尤其在高峰时段供水管网的失效对交通网络的连通性和运行效率产生了直接影响。同时,通过构建解耦策略,提出管网规划和维护优化方案,可减少2个网络之间跨网络级联失效影响,可为提升城市关键基础设施韧性安全与运行可靠性提供参考。
