Accounting for DEM Error in Sea Level Rise Assessment within Riverine Regions; Case Study from the Shatt Al-Arab River Region

Global elevation datasets such as the Shuttle Radar Topography Mission (SRTM) digital model (DEM) are best available terrain data in many parts of world. Consequently, SRTM is widely used for understanding risk coastal inundation due to climate change-induced sea level rise. However, elevations prone error, giving rise uncertainty quality projections. This study investigated error propagation Shatt al-Arab River region (SARR) understand impact DEM on an this sensitive, low-lying region. The analysis involved three stages. First, a multiple regression model, parameterized from Mississippi delta region, was generate expected surface SARR. subtracted SARR adjust it. Second, residuals were simulated Modelled adjusted produce 50 realizations capturing potential variation. Third, each geospatial “bathtub” estimate flooding area given 1 m Across all realizations, predicted flood covered about 50% entire while using raw only 28%, indicating substantial underprediction affected when not accounted for. can be applicable approach within environments worldwide.