Flood Risk Assessment in QGIS
Contents
Introduction
Flood assessment is one of many important purposes for which GIS capabilities can be applied in a practical manner. The scope of the analysis in the tutorial includes a portion of the downtown core of Ottawa, ON. This analysis is particularly relevant due to the high number of flooding events and high-rainfall in Ottawa, especially in 2017. By completing flood risk assessments the city can identify at-risk buildings/populations, as well as develop stronger preparedness measures for when a flood does occur.
The purpose of this tutorial is to provide users with an introduction/guidance in completing a flood risk assessment. The software that will be used is QGIS (ver. 2.18.10) as well as ArcMap (ver. 10.5.1) solely for preliminary data processing.
Data and Software Requirements
In order to begin this tutorial a download of the QGIS software is needed. The current version is QGIS 2.18.15 'Las Palmas' and was released on 08.12.2017. QGIS is available on Windows, MacOS X, Linux as well as Android. This can be found at QGIS Download
Moving forward, the elevation data that will be used for this tutorial can be found from this link. For the purpose of this analysis, 4 adjacent elevation tiles of the city of Ottawa were downloaded, which make a 4-tiled square. Be sure to download the files as shapefiles, not DEMs.
You may use whatever additional base layers you might like to add to this tutorial, but for this purpose, only roads, buildings, and water body data is used which can be found here In addition to the major waterways, roads and building data, this dataset also provides contours, airports, railroads, etc.; but for the purpose of this tutorial, please use ‘Major_Water.shp’; ‘Roads.shp’; and ‘Buildings.shp’.
After all the data is downloaded, you may proceed to process the files in ArcMap.
ArcMap Processing
In order to create the proper DEM file needed to process the desired outcome of this tutorial, the four grid files previously mentioned must be loaded into ArcMap and then processed into DEMs using the Spatial Analyst tool: Inverse Distance Weighted (or IDW for short).
We used ArcMap as a tool to process the data into a file type that QGIS would recognize and be used for the computation/analysis processes.
Step 1. Import the four shapefiles that were downloaded through the Carleton Library.
Step 2. Convert the shapefiles to raster using the IDW tool.
Step 3. Clipping, Major Water, Roads, Buildings Used an AOI polygon feature, that was set to the same extent as the IDW tiles, to clip features. → you can also clip the data in QGIS, but to streamline the process in QGIS, we clipped the data in ArcMap.
Step 4. Export the IDW raster files into a .tif
QGIS Methods
Merging
Step 1. Upload the .tif files
Step 2. Use the merge tool to combine the .tif files into one layer feature
Step 3. Added the clipped polygons; Roads, Major Water, and Buildings (from ArcMap) into QGIS
Sink Fill
Step 4. Sink Fill (Wang & Liu) under SAGA plugins
Raster Calculator
Step 5. Raster Calculator to establish what areas will be flooded given an increase of water level; visualized in our example is an increased water level of 1m.
- 1:100 year stormwater approx 100mm/24hr period based on the link below
