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

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      Environments

      MDPI AG

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          Abstract

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

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          Most cited references 38

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          Very high resolution interpolated climate surfaces for global land areas

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            The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar

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              The Shuttle Radar Topography Mission

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                Author and article information

                Contributors
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                Journal
                Environments
                Environments
                MDPI AG
                2076-3298
                May 2021
                May 18 2021
                : 8
                : 5
                : 46
                Article
                10.3390/environments8050046
                © 2021
                Product
                Self URI (article page): https://www.mdpi.com/2076-3298/8/5/46

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