Flood Recovery Tool Using Grid-Based Hydrological Modeling
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Solution Overview
Problem
Current methods for predicting and mitigating flood damage are inadequate due to the complexity of weather patterns and topography, leading to low-confidence results and insufficient tools for city officials to effectively prepare for flooding events.
Innovation Solution
A flood analysis system that gathers weather information to generate inundation maps, estimates damage, and allows users to configure mitigation measures, using hydrological and hydraulic models to predict water flow and depth, and present the data in a user-friendly interface for real-time decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive factors (weather patterns, geography, surface type) are considered in flood prediction, then prediction accuracy is improved, but system complexity increases
Solution Approach 1:
The system divides the geographical area into multiple grid cells, each independently processed to calculate runoff and flood risk. This segmentation allows complex factors to be managed at smaller scales while maintaining overall system manageability and computational efficiency.
Solution Approach 2:
The system integrates multiple functions into a unified platform: weather data processing, runoff calculation, flood risk mapping, and mitigation measure evaluation. This multi-functionality consolidates what would otherwise require separate systems into one comprehensive tool.
2Measurement precision
If detailed inundation mapping is performed, then damage assessment accuracy is improved, but computational time increases
Solution Approach 1:
The system pre-processes weather data and calculates runoff for multiple grid cells in advance, storing results that can be quickly retrieved and combined during actual flood events. This preliminary computation reduces real-time processing requirements while maintaining detailed accuracy.
Solution Approach 2:
The system applies detailed inundation mapping selectively to high-risk areas and critical infrastructure zones rather than uniformly across the entire region. This partial application maintains high accuracy where needed while reducing overall computational time.
3Adaptability or versatility
If multiple mitigation measure scenarios are simulated, then decision-making quality is improved, but system complexity increases
Solution Approach 1:
The system allows dynamic adjustment of mitigation measure parameters (location, height, material) and automatically recalculates flood risk scenarios. This dynamic capability enables flexible decision-making without requiring complex manual scenario construction, as the system adapts to user inputs in real-time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides accurate and timely predictions of flood inundation and damage, enabling city officials to plan effectively and assess the effectiveness of mitigation measures, thereby reducing the risk and impact of flooding.
Implementation Method 1
generating runoff data based on the weather information, the runoff data including a predicted amount of free-running water on a surface of each cell
Implementation Method 2
generating a prediction of inflow and outflow of water between cells; calculating, for a plurality of sub-cells of each cell in the geographical region, a predicted water depth in each sub-cell based on the prediction of the inflow and outflow between cells and a hydraulic model
Data Source
AI summary
Methods, systems, and computer programs are presented for a flood-recovery analysis tool. One method includes operations for generating a prediction of water depth in a geographical region based on weather data for the geographical region and topography data for the geographical region, and causing presentation of a flood inundation map showing the prediction of water depth in a user interface of a display device. The user interface includes an option for entering flood mitigation measures. Further, the method includes operations for receiving the flood mitigation measures via the user interface, updating the topography data to include the received flood mitigation measures, and generating an updated prediction of the water depth in the geographical region based on the updated topography data. An updated flood inundation map is presented in the user interface showing the updated prediction of the water depth and a geographical location of the flood mitigation measures.