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2D flood modeling interprets the 2D equations of flow to find out the water depth and depth-averaged velocity on a grid or mesh. It uses digital terrain modeling and bathymetry of a water channel in the question to outline the 2D-flow of an expected flood.
With 2D flood modeling, you don’t need to predefine the flow routes. 2D modeling is also suitable for mapping future floods because it takes velocity variation on floodplain into account and provides flood maps and depth grids as direct outcomes. Also, it could be more accurate than 1D flood modeling.
However, 2D flood modeling offers all these benefits when you execute it appropriately. Many disaster planning and control experts use 2D modeling for the predictive analysis of a potential flooding situation. However, they inadvertently commit mistakes that make it unfeasible to get the best possible predictive outcome from 2D Flood modeling.
These are some common mistakes experts make while mapping 2D flood models.
1. Out-of-Date 2D Modeling
2D flow/flood modeling has come a long way in the last couple of decades. Gone are the days when analysts would manually solve mathematical equations to predict the 2D flow of a water channel. Today, good 2D modeling solutions feature a host of hydrologic and hydraulic characteristics and integrate live modeling for better forecast visualization. Without these features, simple 2D modeling won’t cut for more accurate predictive flood analysis.
2. Lack of Dynamic Data Inputs in 2D Modeling
Flood modeling is the function of its data inputs. High-quality data automatically translates into more accurate 2D modeling of floods. By high-quality data, we mean the information generated by on-site sensors and IoT devices. Similarly, data collected and submitted to the SCADA network databases also helps in streamlining 2D flooding.
When experts use a 2D modeling regimen that makes the most of this near-real-time data, they can do better predictive analysis. Flood modeling solutions like InfoWorks ICM and ICMLive leverage this data to furnish more accurate 2D flood models.
3. Not Factoring in Real-World Scenarios in 2D Modeling
If you are only banking on simulations to create an accurate 2D flood model, you may need to change your approach. Keep in mind that what you are simulating to predict various flooding outcomes must lay on the foundation of what is observed on the ground.
You need to ensure that your simulation is as close to how the given hydrologic system operates as possible. You also have to incorporate the data points from similar events that happened on other water channels in other regions.
4. 2D Modeling Remains Hard to Decipher
The other recurring issue with 2D flood modeling is its complexity. It looks like a cryptic piece of work to someone who is not a seasoned hydrologist. Since you create 2D flood models for disaster management, it has to be shared across various concerned departments. Therefore, a 2D flood model should be easy to understand and transferable.
From officials of the associated river authority to people at the state’s floodplain management association and council members at the city council, everyone can understand what 2D modeling is predicting. Flood modeling solutions with dynamic forecast visualization can be useful in creating such 2D models.
5. 2D Modeling Doesn’t Drive Actionable Plans
At the end of the day, a 2D flood model is created to devise the action plan for managing potential flooding. 2D modeling that can’t generate conclusive data points in its predictive analysis doesn’t help drive actionable plans.
Therefore, use 2D flood modeling that gives you definite values and inferences from which you can foresee a potential on-ground scenario. This helps in coming up with a better flood mitigation plan and streamlined emergency response.
At Innovyze, we offer storm and flood modeling solutions where you don’t find the issues mentioned above. Whether it is our InfoWorks ICM or ICMLive, it will generate 2D modeling for the most credible predictive analysis of a potential flood situation.