Reversal design method determining secondary river maximum main river inflow rate

A reverse design and river channel technology, which is applied in the reverse design field of optimal dispatching discharge of multiple secondary river channels, can solve problems such as inability to be represented by functions, complex system state equations, etc., and achieve the effect of perfecting the design.

Inactive Publication Date: 2017-03-15
TIANJIN UNIV
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Problems solved by technology

[0004] In engineering applications, some complex nonlinear systems are often encountered. The state equatio...

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  • Reversal design method determining secondary river maximum main river inflow rate
  • Reversal design method determining secondary river maximum main river inflow rate
  • Reversal design method determining secondary river maximum main river inflow rate

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specific Embodiment approach

[0018] The specific embodiment of the present invention is described as follows:

[0019] 1. EFDC simulates the water quality of the main stream

[0020] Under different working conditions, the upstream discharge of the main stream is a fixed value Q=100m3 / s, and the water flow of each secondary river into the main stream is used as a variable. The water quality boundary conditions are shown in Table 1. To simplify the model, the water volume of the first secondary river into the main stream, the water volume of the second secondary river into the main stream, the water volume of the third secondary river into the main stream, the water volume of the 4th secondary The water flow into the main stream of the river and the water flow of the sixth secondary river into the main stream are 6 variables X1, X2, X3, X4, X5, and X6, and each variable has 5 levels. Referring to the test orthogonal table of 6 factors and 5 levels, 27 models under different working conditions were establi...

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Abstract

The invention discloses a reversal design method determining secondary river maximum main river inflow rate; the method comprises the following steps: 1, building a water quality optimization model to carry out water quality simulation, determining decision variables and constraint conditions, and changing flow setting of each secondary river so as to form different conditions; 2, using water quality model simulation results under different conditions as nerve network training samples, building a nerve network and training the nerve network so as to realize non-linear function fitting, thus allowing the trained network to predict the water quality conditions in a primary river control section; 3, using a heredity algorithm to randomly form certain number of individuals as the initial population, using the well trained and improved nerve network as constrained conditions so as to determine and screen the individuals, selecting individuals satisfying water quality conditions and with high adaption level, using intersection and variation to obtain a novel population, thus obtaining the optimal design scheme for each secondary river flow regulation and control. The reversal design method can provide more improved design for the river water quality simulation technology.

Description

technical field [0001] The invention relates to a reverse design method for river channel discharge scheduling, in particular to a reverse design method for optimal scheduling discharge of multiple secondary rivers. The method can realize the water quality control of the main stream, and make the water quality index of the main stream meet the control requirements at the control section. Background technique [0002] The Environmental Fluid Dynamics Model (EFDC) is a comprehensive model developed based on the integration of multiple mathematical models. It integrates the hydrodynamic module, sediment transport module, pollutant transport module and water quality prediction module. It can be used in rivers, lakes, Simulation of one-dimensional, two-dimensional and three-dimensional physical and chemical processes such as reservoirs. EFDC is widely used in the research of river water quality simulation. [0003] Genetic Algorithm (GA) is a search (optimization) algorithm base...

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Application Information

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IPC IPC(8): G06F17/50G06N3/12
CPCG06F30/20G06N3/126Y02A20/152
Inventor 尤学一陈慧敏
Owner TIANJIN UNIV
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