Flood Storage Basin Scheduling with Precomputed Diversion Scenarios
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining flood-diversion strategies of flood storage and detention basins are inefficient, require numerous input parameters, and lack rapid decision-making capabilities, leading to unbalanced benefits and losses among stakeholders during flood events.
Innovation Solution
A method and device for determining a flood-diversion strategy based on a balanced perspective, involving the calculation of excess flood peaks and amounts, constructing correlation maps, determining enabling priorities and volumes, and selecting a target plan to minimize comprehensive disaster loss, using a computer device and program to support timely and moderate scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If common hydrodynamic model methods are used to determine flood-diversion strategy, then calculation accuracy can be maintained, but calculation efficiency is low and research and determination time is consumed
Solution Approach 1:
The patent pre-calculates and stores flood-diversion effect data for multiple scenarios before actual flood events occur. A flood-diversion effect evaluation model is established in advance, and historical or simulated flood data are used to populate a database of pre-computed results. When a real flood event occurs, the system directly queries this pre-computed database rather than performing time-consuming hydrodynamic calculations, thus maintaining accuracy while dramatically improving response speed.
Solution Approach 2:
The patent creates simplified copies or proxies of the complex hydrodynamic model. Instead of running full hydrodynamic simulations during decision-making, the system uses pre-computed result databases that replicate the outcomes of detailed models. This allows rapid query and comparison of different flood-diversion strategies without re-running computationally intensive simulations.
2Reliability
If flood storage and detention basins are enabled to relieve flood control pressure, then overall flood safety is improved, but local inundation loss increases
Solution Approach 1:
The patent systematically varies key parameters such as enabling time, enabling duration, and enabling quantity of flood storage basins to evaluate their impact on both flood control effectiveness and local loss. By analyzing how different parameter combinations affect the balance between overall safety and local damage, the system identifies optimal parameter settings that minimize total loss while maintaining acceptable flood control performance.
Solution Approach 2:
The patent applies different evaluation criteria and weighting factors to different geographical locations and stakeholder groups. Instead of treating all areas uniformly, the system considers local characteristics such as population density, economic importance, and vulnerability when evaluating flood-diversion strategies. This allows for differentiated decision-making that accounts for varying local conditions and priorities.
3Measurement precision
If multiple flood-diversion plans are evaluated to balance benefits and losses, then decision quality improves, but decision-making time increases
Solution Approach 1:
The patent pre-evaluates and ranks multiple flood-diversion plans based on their expected benefits and losses before actual flood events. A comprehensive evaluation framework is established in advance that incorporates various objectives such as flood control effectiveness, economic loss, social impact, and environmental considerations. When a flood event occurs, pre-ranked plans can be quickly selected and adjusted rather than evaluating all possibilities from scratch.
Solution Approach 2:
The patent implements a feedback mechanism where the results of flood-diversion decisions are systematically collected and used to improve future decision-making. After each flood event or simulation, the actual outcomes are compared with predicted outcomes, and the evaluation model is refined accordingly. This continuous learning process improves decision quality over time while maintaining efficiency.
Data Source
AI summary
A method and device for determining a flood-diversion strategy of a flood storage and detention basin based on a balanced perspective is provided. The method includes determining excess flood peaks and excess flood amounts of middle and downstream main streams in a preset time period after scheduling and enabling of a reservoir group in each river section. A correlation map between a flood-diversion amount and a flood-diversion water-level reduction value under each set flood-diversion parameter combination is then constructed. Enabling priorities and flood-diversion volumes for all flood storage and detention basins in all river sections are determined. A cumulative flood-diversion volume of each flood storage and detention basin is also determined. A flood storage and detention basin-enabling knowledge map is constructed and a plurality of flood-diversion plans are determined. A flood-diversion plan from the plurality of flood-diversion plans is then selected as a target plan to allow flood diversion.