scholarly journals To move or not to move: How farmers now living in flood storage areas of China decide whether to move out or to stay put

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Na Wang ◽  
Guoqing Shi ◽  
Xiang Zhou
Keyword(s):  
Flood Storage

scholarly journals Analysis of Flood Storage Area Operations in Huai River Using 1D and 2D River Simulation Models Coupled with Global Optimization Algorithms

Geosciences ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 509 ◽  
Author(s):  
Andreja Jonoski ◽  
Ioana Popescu ◽  
Sun Zhe ◽  
Yuhan Mu ◽  
Yiqing He
Keyword(s):  
Global Optimization ◽  
Optimization Algorithms ◽  
Local Population ◽  
Simulation Models ◽  
Flood Management ◽  
Nsga Ii ◽  
Operational Strategies ◽  
Huai River ◽  
Storage Area ◽  
Flood Storage

This article addresses the issue of flood management using four flood storage areas in the middle section of Huai River in China which protect the important downstream city of Bengbu. The same areas are also used by the local population as residential and agricultural zones. An optimization problem is therefore posed, with two objectives of simultaneously minimizing the downstream flood risk in Bengbu city and the storage areas’ economic damages. The methodology involved development of river flood models using HEC-RAS, with varying complexity, such as 1-dimensional (1D) model with storage areas represented as lumped conceptual reservoirs, and 2-dimensional (2D) models with detailed representation of the terrain, land-use and hydrodynamics in the storage areas. Experiments of coupling these models with global optimization algorithms (NSGA-II, PESA-II and SPEA-II) were performed (using the HEC-RAS Controller), in which the two objective functions were minimized, while using stage differences between the river and the storage areas as decision variables for controlling the opening/closing of the gates at the lateral structures that link the river with the storage areas. The comparative analysis of the results indicate that more refined optimal operational strategies that spread the damages across all storage areas can be obtained only with the detailed flood simulation models, regardless of the optimization algorithm used.

scholarly journals Optimal Operation of Complex Flood Control System Composed of Cascade Reservoirs, Navigation-Power Junctions, and Flood Storage Areas

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1883
Author(s):  
Di Zhu ◽  
Yadong Mei ◽  
Xinfa Xu ◽  
Junhong Chen ◽  
Yue Ben
Keyword(s):  
Control System ◽  
Flood Control ◽  
Human Life ◽  
Optimal Operation ◽  
Control Points ◽  
Return Periods ◽  
Control Operation ◽  
Cascade Reservoirs ◽  
Flood Control Operation ◽  
Flood Storage

As more and more water projects are built on rivers, the flood control operation becomes more complex. Studies on the optimal flood control operation are very important to safeguard human life and property. This study focused on optimizing the operation of a complex flood control system composed of cascade reservoirs, navigation-power junctions, flood storage areas, and flood control points. An optimal model was established to jointly maximize flood peak reduction rates of downstream flood control points. A hybrid algorithm named the Dynamic Programming-Progressive Optimality Algorithm (DP-POA) was used to solve this model, and the middle and lower reaches of the Ganjiang River were selected as a case study. The results show that flood reduction at three downstream flood control points ranged from 1080 to 5359 m3/s for designed floods with different return periods, which increased by about 333~1498 m3/s in comparison with the conventional operation. Considering that the maximum water level of reservoirs using DP-POA and the conventional operation is the same, this indicated that DP-POA can make full use of the reservoirs’ flood control storage to reduce downstream flood peaks. In addition, the flood diversion volume of the flood storage area using DP-POA ranged from 0.33 × 108 to 1.79 × 108 m3 for designed floods with 200-year, 300-year, and 500-year return periods, which is smaller than that using the conventional operation.

Decomposition–coordination model of reservoir group and flood storage basin for real-time flood control operation

2013 ◽  
Vol 46 (1) ◽  
pp. 11-25 ◽  
Author(s):  
Benyou Jia ◽  
Ping'an Zhong ◽  
Xinyu Wan ◽  
Bin Xu ◽  
Juan Chen
Keyword(s):  
Real Time ◽  
Flood Control ◽  
Control Operation ◽  
Multi Objective ◽  
Coordination Model ◽  
Multi Objective Programming ◽  
Storage Basin ◽  
Flood Control Operation ◽  
Objective Programming ◽  
Flood Storage

The research of joint optimization operation of complex flood control systems is still in the process of development. This paper introduces a decomposition–coordination model for solving the multi-objective optimization problem for real-time flood control operation in reservoir group and flood storage basin. The multi-objective programming is established for maximum safety of the reservoir group and minimum losses of flood storage basin, according to the real-time flood control requirements. Then, a third-order hierarchical optimization decomposition–coordination model is proposed for solving the multi-objective programming problem, based on the decomposition–coordination principle of large scale system theory. It takes advantage of an objective coordination method and model coordination method to accomplish global optimization and combines progressive optimality algorithm to solve the subsystem local optimization. Finally, the model is applied for simulating the storm flood in July 2007 in the middle reaches of the Huaihe River Basin in China. Results show that the proposed decomposition–coordination model can efficiently calculate the reservoir group optima release strategy and flood storage basin diversion process, and meet the safety discharge at the downstream control section.

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