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| Type: | Resource | |
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| Created: | Oct 23, 2024 at 10:39 p.m. | |
| Last updated: | Oct 24, 2024 at 10:14 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
Saltwater intrusion is a critical concern for coastal communities due to its impacts on fresh ecosystems and civil infrastructure. Declining recharge and rising sea level are the two dominant drivers of saltwater intrusion along the land-ocean continuum, but there are currently no global estimates of future saltwater intrusion that synthesize these two spatially variable processes. Here, for the first time, we provide a novel assessment of global saltwater intrusion risk by integrating future recharge and sea level rise while considering the unique geology and topography of coastal regions. We show that nearly 77% of global coastal areas below 60° north will undergo saltwater intrusion by 2100, with different dominant drivers. Climate-driven changes in subsurface water replenishment (recharge) is responsible for the high-magnitude cases of saltwater intrusion, whereas sea level rise and coastline migration are responsible for the global pervasiveness of saltwater intrusion and have a greater effect on low-lying areas.
Subject Keywords
Coverage
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Content
README.txt
############################################################################################ # 1D-analytical framework for saltwater intrusion analysis # # NASA Jet Propulsion Laboratory # # Kyra H. Adams 2024 # ############################################################################################ This dataset is complementary to the manuscript: Adams, K. H.; J.T. Reager; B. Buzzanga; C. David; A. Sawyer; B. Hamlington, 2024, Climate-induced saltwater intrusion in 2100: recharge-driven severity, sea level-driven prevalence, Geophysical Research Letters. Included are input data, script, and output data. The input datafiles (input_data1, input_data2, input_data3) have a total of 15 parameters required for global saltwater intrusion analysis. The name of the parameters are in the top row and the values are listed. WatershedID, latitude, and longitude are repeated in each input datafile for ease of organization. The provided values are processed from raw datasets described in the main manuscript and Supporting Information. The input data columns can be read in any programming language and assigned as a parameter matrix with its corresponding name. These matrices are called within the script (e.g., load lat). The code to calculate Case C and post-processing is provided as part of the dataset in MATLAB script format (GRL_Adams_2024.mlx). Definition of parameters are within the script. Outputs for Case A, B, and C are included in the output data file (output_data).
Related Resources
| This resource is described by | Adams, K; J.T. Reager; B. Buzzanga; C. David; A. Sawyer; B. Hamlington, 2024, Climate-induced saltwater intrusion in 2100: recharge-driven severity, sea level-driven prevalence, Geophysical Research Letters. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| U.S. Department of Defense | Deployable Satellite-Based Model for Assessing Saltwater Intrusion Impacts Under Future Sea-Level Rise Scenarios |
How to Cite
This resource is shared under the Creative Commons Attribution-NoCommercial-ShareAlike CC BY-NC-SA.
http://creativecommons.org/licenses/by-nc-sa/4.0/
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