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
In this study, field hydraulic experiments were carried out on typical mountain rivers in the Taizicheng River Basin. The surface water flow velocity, water depth, river width and other data of the Taizicheng River we...In this study, field hydraulic experiments were carried out on typical mountain rivers in the Taizicheng River Basin. The surface water flow velocity, water depth, river width and other data of the Taizicheng River were measured regularly and continuously. The change of Manning coefficient along the river in the mountain complex was studied, and the relationship between Manning coefficient N and relevant hydraulic parameters was analyzed. The results show that: (1) The value of N in the upper reaches of the river is higher than that in the middle and lower reaches of the river, and there is no significant difference in the value of N in different river courses at the junction of main and tributaries;(2) The value of N and its change trend are restricted by hydrological conditions;(3) n has a good power function relationship with water depth H and Reynolds number Re, and a good logarithmic function relationship with Froude number Fr. The ratio of Manning coefficient to water depth n/h and Re has a negative power function relationship;(4) Under the significance level of p<0.01, the goodness-of-fit R2 of the relationships among n-h, n-Re and n-Fr all reached above 0.82, which can better reflect the influence of n on the water flow state. The research results can provide reference for the construction of ecological treatment project of mountain complex river.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In this study, field hydraulic experiments were carried out on typical mountain rivers in the Taizicheng River Basin. The surface water flow velocity, water depth, river width and other data of the Taizicheng River were measured regularly and continuously. The change of Manning coefficient along the river in the mountain complex was studied, and the relationship between Manning coefficient N and relevant hydraulic parameters was analyzed. The results show that: (1) The value of N in the upper reaches of the river is higher than that in the middle and lower reaches of the river, and there is no significant difference in the value of N in different river courses at the junction of main and tributaries;(2) The value of N and its change trend are restricted by hydrological conditions;(3) n has a good power function relationship with water depth H and Reynolds number Re, and a good logarithmic function relationship with Froude number Fr. The ratio of Manning coefficient to water depth n/h and Re has a negative power function relationship;(4) Under the significance level of p<0.01, the goodness-of-fit R2 of the relationships among n-h, n-Re and n-Fr all reached above 0.82, which can better reflect the influence of n on the water flow state. The research results can provide reference for the construction of ecological treatment project of mountain complex river.
