.. _tutorial_rwp_building_flood_risk: Tutorial 3: Advanced Analysis — Identifying Vulnerable Buildings ================================================================ Introduction ------------ In this tutorial, you will analyse the flood vulnerability of buildings within your study area. Using the simulation results from :ref:`Tutorial 2 ` and building datasets from the Rana catalogue, you will determine which buildings are most at risk. This is one of the advanced result analysis processes available in Rana, providing deeper insight into the impacts of flooding on the urban environment. Assumed knowledge ----------------- Basic knowledge of how to navigate Rana's Web Platform, and completion of :ref:`Tutorial 1 ` and :ref:`Tutorial 2 `. Learning objectives ------------------- With this tutorial you will: - Extract and use building datasets from the Rana catalogue - Determine the flood vulnerability of buildings using your simulation results - Communicate your findings effectively to stakeholders through publications Preparation ----------- Before you get started: * Complete :ref:`Tutorial 2 `. You will need the simulation results from that tutorial as input for this one. Step by step ------------ Extracting building data from the catalogue ########################################### #) In :ref:`Tutorial 1 `, you may have already noticed the BAG (Basisregistratie Adressen en Gebouwen) in the catalogue. You will now extract this dataset for your study area. Go to the *Catalogue* and find the BAG dataset. #) Take an extract by clicking |extract_button|. Open your project, select your study area as the extraction boundary, and use the default resolution. #) Save the extract in your *Data* folder with a descriptive name and run the process. #) Go to *Files* and locate the BAG file you just extracted. .. tip:: Open the extracted file and explore its layers. Each layer contains specific building attributes that describe the properties of individual buildings. Assessing building flood risk ############################# #) Once you have your BAG data, go to the *Processes* tab and open *Assess Building Flood Risk*. Read the information shown before proceeding. .. image:: /image/e_rwp_assess_building_flood_risk.png :scale: 70% :alt: Assess Building Flood Risk process #) Select the simulation results from :ref:`Tutorial 2 ` as input. #) Select the BAG buildings dataset you just extracted. Keep the flood risk calculation method set to the standard DGBC. #) Save the output to your *Results* folder and click *Run Process*. #) Once the process is complete, go to the *Files* tab and view the results in the preview. The following standardised legend applies: .. image:: /image/e_rwp_flood_risk_legend.png :scale: 80% :alt: Flood risk legend .. tip:: **Reflection:** Which buildings in your study area are most vulnerable? Do the results match your expectations based on the water depth map from Tutorial 2? Consider the relationship between water depth and building vulnerability. Sharing your findings with stakeholders ####################################### #) Now that you have your results, share them with stakeholders. Go to the *Publications* tab and create a new publication. Choose a descriptive name. #) Add relevant data to your publication. Include both the water depth map from :ref:`Tutorial 2 ` and the building vulnerability results to give stakeholders a full picture of the flood risk in your area. #) Prepare a short pitch (1–2 minutes) about your study area and the current water-related risks. Explain what the data shows and what it means for the buildings in the area. .. tip:: A compelling pitch combines visuals with context. Show where the water accumulates, then show which buildings are affected and explain what action could be taken. .. note:: To share your publication with stakeholders, click |share_publication|. Give your publication a suitable name and set an expiration date. Once published, you can share the link. Stakeholders can open the link, provide their email address (used only to identify comment senders), and view the publication. No Rana account or licence is required. .. |extract_button| image:: /image/pictogram_rwp_extract.png :scale: 80% .. |share_publication| image:: /image/pictogram_rwp_share_publication.png :scale: 80%