Slope Regulation Optimization Balancing Flood Storage and Water Use
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Solution Overview
Problem
Current studies lack a comprehensive method for optimizing slope regulation and storage measures to balance flood regulation, storage capacity improvement, and slope water consumption control, which is crucial for effective flood mitigation and water resource management in river basins.
Innovation Solution
A method involving data collection, construction of an optimized configuration model, and use of a genetic algorithm to determine optimal slope gradients and vegetation coverage for maximizing flood regulation and storage capacity while minimizing water consumption, using equations to balance flood peak attenuation and water demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vegetation construction measures are arranged on slopes to improve flood regulation and storage capacity, then flood peak attenuation is enhanced, but water consumption increases and runoff entering river channels is reduced
Solution Approach 1:
The patent applies parameter changes by systematically varying vegetation coverage degree (from 0% to 100% in 10% increments) and slope gradient (from 5° to 45° in 5° increments) to identify optimal configurations. This allows finding the specific parameter combination that maximizes flood regulation while minimizing water consumption, resolving the contradiction between these two objectives.
Solution Approach 2:
The patent uses partial action by determining optimal vegetation coverage degrees rather than applying uniform full coverage. The optimized configuration model identifies that complete vegetation coverage is not always necessary - partial coverage at specific locations and densities can achieve flood regulation goals with reduced water consumption, thus resolving the contradiction.
2Object-affected harmful factors
If vegetation coverage degree is increased to enhance flood peak attenuation, then flood mitigation is improved, but water demand and transpiration increase
Solution Approach 1:
The patent changes the parameter of vegetation coverage degree from a binary or uniform value to an optimized continuous variable. By calculating the relationship between vegetation coverage and both flood peak attenuation and water consumption, the model identifies the optimal coverage degree that achieves sufficient flood mitigation while minimizing water demand and transpiration.
Solution Approach 2:
The patent applies local quality by allowing different vegetation coverage degrees in different control units based on their specific characteristics. Rather than uniform vegetation coverage across the entire slope, the optimized configuration model determines site-specific optimal coverage levels, enabling flood protection where needed while reducing water consumption in areas where less vegetation is optimal.
3Reliability
If slope regulation and storage measures are configured to maximize flood control, then flood damage is mitigated, but water resources for river basins are reduced
Solution Approach 1:
The patent applies partial action by determining that maximum vegetation coverage is not always necessary for effective flood control. The optimized configuration model identifies the sufficient level of vegetation coverage needed to achieve flood control objectives, avoiding excessive vegetation that would unnecessarily reduce water resources while still providing adequate flood protection.
Solution Approach 2:
The patent transforms the approach from qualitative vegetation planning to quantitative optimization by changing parameters such as vegetation coverage degree and slope gradient into optimized variables. This allows precise determination of the minimum effective vegetation levels needed for flood control, thereby preserving water resources while maintaining flood protection reliability.
Data Source
AI summary
Provided is a method for configuring slope regulation and storage measures based on flood regulation and storage capacity and water consumption control, including the following steps: S1, collecting and organizing precipitation data of a basin; S2, constructing an optimized configuration model based on a balance between flood regulation and storage capacity improvement and slope water consumption control; S3, initializing settings; S4, computing an optimal comprehensive benefit of the slope regulation and storage measures with a genetic algorithm; and S5, determining whether a number of iterations is maximized; if the number of iterations is maximized, terminating an iteration and outputting data, such that a computation is completed; and if the number of iterations is not maximized, returning to the S4, and restarting the computation. The optimized configuration model of this application can resolve a balanced relationship between flood regulation and storage capacity improvement and slope water consumption control.