Numerical Experimental Method for Urban Waterlogging Analysis
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Solution Overview
Problem
Current methods for researching urban waterlogging, such as experimental research and on-site monitoring, face challenges including high investment, long cycles, small experimental scales, high data costs, and difficulty in data acquisition, as well as vulnerability to complex environmental impacts.
Innovation Solution
A numerical experimental method for urban waterlogging involving data acquisition, batch-processing, and batch-running of models using the TELEMAC-2D model, which includes a 2D shallow-water dynamic equation and an infiltration module, to simulate urban waterlogging scenarios, allowing for repeated experiments and efficient data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If experimental research method is used to study urban waterlogging, then formation mechanism and evolution characteristics can be analyzed, but large investment and long cycle are required
Solution Approach 1:
The patent creates a virtual copy of the urban waterlogging system through numerical simulation models. Instead of conducting physical experiments that require long cycles and large investments, the invention uses computer-based numerical models to replicate waterlogging scenarios, enabling rapid iteration and analysis without the constraints of physical experimental setups.
Solution Approach 2:
The patent replaces the mechanical physical experimental system with a numerical computational system. The physical waterlogging experiment involving actual water flow, terrain models, and monitoring equipment is substituted with numerical simulations that solve governing equations computationally, dramatically reducing time and resource requirements while maintaining analytical precision.
2Measurement precision
If on-site monitoring method is used to study urban waterlogging, then real data can be acquired, but high cost and large difficulty in data acquisition occur
Solution Approach 1:
The patent creates a virtual replica of the complex monitoring system through numerical models. Instead of deploying actual sensors, cameras, and data acquisition equipment in the field, the invention uses computational models that inherently contain the measurement capabilities, eliminating the need for complex physical monitoring infrastructure while providing accurate data.
Solution Approach 2:
The numerical simulation model serves multiple functions simultaneously: it models water flow dynamics, predicts waterlogging locations, analyzes formation mechanisms, and provides diagnostic information all in one integrated system. This universal approach replaces multiple separate monitoring devices and data acquisition systems that would otherwise be needed.
3Measurement precision
If on-site monitoring equipment is deployed in complex environments, then data collection is possible, but equipment is easily affected by environmental impacts
Solution Approach 1:
The patent introduces a computational environment as an intermediary between the researcher and the complex physical environment. Instead of placing sensitive equipment directly in harsh field conditions, the numerical simulation runs in a controlled virtual environment that is immune to environmental factors like extreme temperatures, humidity, and physical damage, while still accurately representing the physical system being studied.
Data Source
AI summary
A numerical experimental method for urban waterlogging includes the following steps: acquiring raw data of an urban underlying surface; batch-processing urban waterlogging modeling data; batch-running urban waterlogging numerical experimental models; batch-processing urban waterlogging numerical experimental results; and displaying and analyzing the batch-processed urban waterlogging numerical experimental results. The numerical experimental method constructs a numerical experimental process, which can perform an unlimited number of repeated experiments in the numerical simulation process of urban waterlogging and achieve batch-running of data preprocessing, model operation, and data post-processing processes. Therefore, the numerical experimental method has the advantages of high efficiency, high convenience, high reliability, and low cost.