DOE OSTI · 3006139
Data Repository for Multi-Objective Urban Observational Strategies: A risk-based framework for expanding flood sensor networks.
Abstract
These data support the manuscript "Multi-Objective Urban Observational Strategies: A risk-based framework for expanding flood sensor networks." These data are generated to allow water managers to reason about optimal locations to expand a flood observation system from multiple perspectives, specifically focusing on flood hazards, and population exposure to flooding. The data included are a) a shapefile of individual sensor locations b) a shapefile of river reach catchments, c) raster of FEMA flood likelihood layers d) shapefile of population locations and population socioeconomic characteristics. The code is written in R and includes all files necessary to generate the figures for the associated manuscript. Interactive maps of the final calculated maps of hazard, vulnerability, exposure, and risk are also included as html files.
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Brelsford, Christa [Analytics, Information and Technology Division, Los Alamos National Laboratory, Los Alamos, NM] (ORCID:0000000234908020), Rosenheim, Nathanael [Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX] (ORCID:0000000156010126), Wang, Mark [Fariborz Maseeh Dept. of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX] (ORCID:0000000206637980). 2025-01-01. Data Repository for Multi-Objective Urban Observational Strategies: A risk-based framework for expanding flood sensor networks.. https://doi.org/10.15485/3006139
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