This month we released the Flood Planning Map, the first in a series of maps and apps to help emergency managers and community leaders prepare for flooding events.
The Flood Planning Map provides flood planners with a set of tools and workflows to prepare for seasonal river flooding. These tools and workflows are based on real-world examples that have been used during previous flood events in the upper Midwest. Seasonal river flood planning is typically conducted weeks or months in advance of predicted crest in each community. This advance notice gives community leaders time to plan for securing assets, protecting infrastructure, or evacuating citizens within the impact area.
The first version of the Flood Planning Map provides the ability to do the following:
- Determine the flood impact area based on predicted flood levels.
- Identify critical infrastructure, facilities, and citizens that could be impacted.
- Create budgetary cost estimates for temporary levees.
- Share the results with others who will execute the flood plan.
The Flood Planning Map depends on high-quality flood inundation polygons. There are several ways to create this data including hydrologic and hydraulic models with high-resolution LiDAR data using elevation cross sections and water depth grids. Many river communities hire engineering firms to create data for their communities or use a method prescribed by the US Geological Survey (USGS) Flood Inundation Mapping Science or the National Oceanic and Atmospheric Administration (NOAA) Advanced Hydrologic Prediction Service flood inundation mapping guidelines.
Whatever method you choose, you can load your inundation polygons into a feature class provided with the updated Local Government Information Model.
Share the Results with Others
When the analysis is complete, you can publish your results to ArcGIS Online to share with others or to a web-based application to use during the flood event.
The ArcGIS for Local Government team wishes to thank Cass County, North Dakota and the City of Moorhead, Minnesota, for their valuable insight and contributions to this project.