Schwaller (2026) mschwaller/slrcoastalanalysis_final: tracts and structures inundation pipeline v1.0.0

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Open MIND
• Year: 2026
• Date: 2026-04-19
• Authors: Matt Schwaller
• DOI: 10.5281/zenodo.19652440

Research Groups

• Not specified

Short Summary

The study introduces a coastal flooding analysis pipeline applied to 21 U.S. coastal states to evaluate the impact of various sea-level rise scenarios on census tracts and FEMA structures.

Objective

• To develop and release a standardized pipeline for analyzing coastal flooding risks by intersecting sea-level rise (SLR) projections with demographic and structural data.

Study Configuration

• Spatial Scale: 21 U.S. coastal states.
• Temporal Scale: Not specified (based on NOAA SLR scenarios).

Methodology and Data

• Models used: Coastal flooding analysis pipeline.
• Data sources: NOAA Sea-Level Rise (SLR) scenarios (11 scenarios), U.S. Census tract data, and FEMA structure data.

Main Results

• Successful implementation of a pipeline capable of intersecting 11 different NOAA SLR scenarios with Census and FEMA datasets across 21 coastal states to identify vulnerable structures and populations.

Contributions

• Provides a scalable computational framework for coastal vulnerability assessment, enabling the integration of environmental projections with socio-economic and infrastructural data.

Funding

• Not specified

Citation

@article{Schwaller2026mschwallerslrcoastalanalysisfinal,
  author = {Schwaller, Matt},
  title = {mschwaller/slr_coastal_analysis_final: tracts and structures inundation pipeline v1.0.0},
  journal = {Open MIND},
  year = {2026},
  doi = {10.5281/zenodo.19652440},
  url = {https://doi.org/10.5281/zenodo.19652440}
}