@@ -8,7 +8,7 @@ Flood vulnerability analysis and assessment are urgently needed to improve urban
## Data and Methods
Our approach is based on the SEVA concept of Thiault et al. 2021[^2] and the general framework promoted by the Intergovernmental Panel on Climate Change (IPCC), which has been widely adopted for vulnerability assessments. In this IPCC definitions, vulnerability is defined as the propensity or predisposition to be adversely affected (see https://www.ipcc.ch/report/ar6/wg2/chapter/chapter-1/), often understood as a function of exposure, sensitivity and adaptive capacity[^1].
@@ -28,6 +28,7 @@ We classified all buildings/objets with critical infrastructure (e.g. worship pl
<details><summary>Detailed description</summary>
We classified all park and woodland areas within the analyzed watershed of Amman according to the simplified risk analysis of DWA-M 119. Park areas were received from the Greater Amman Municipality (GAM) and additional OSM data (May 2024). Woodland areas were extracted from from detailed land cover classification of Awad (2023). Using the expected water level (cm) during a flash flood event (Baseline Scenario) classification is as follows: 1 = low (<10cm);2=moderate(10–30cm),3=high(30-50cm)and4=veryhigh(> 50 cm). The final results were transformed to a 2 m raster file.
