Brelsford et al. (2026) Multi-Objective Urban Observational Strategies: A Risk-Based Framework for Expanding Flood Sensor Networks

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

Identification

• Journal: Repository for Publications and Research Data (ETH Zurich)
• Year: 2026
• Date: 2026-01-01
• Authors: Christa Brelsford, Ethan T. Coon, Mark Wang, Nathanael Rosenheim, Nicholas Brake, Liv Haselbach, Paola Passalacqua
• DOI: 10.3929/ethz-c-000795276

Research Groups

Not explicitly mentioned in the provided text.

Short Summary

This paper details the expansion of a flood risk observation system in Southeast Texas to enhance understanding of physical and socioeconomic exposure to hydrological hazards at fine spatial scales, introducing a novel approach to assess the spatial relevance of flood sensor observations and estimate the served population.

Objective

• To improve the understanding of both physical and socioeconomic exposure to hydrological hazards at fine spatial scales within a structured hazard-exposure-vulnerability risk framework.

Study Configuration

• Spatial Scale: Fine spatial scales, focusing on the area of information for individual flood sensors in Southeast Texas.
• Temporal Scale: Not explicitly mentioned in the provided text.

Methodology and Data

• Models used: Not explicitly mentioned in the provided text.
• Data sources: Flood sensor observations, downscaled socio-demographic data.

Main Results

• A new approach was developed for assessing the spatial extent through which a flood sensor's observations can be assumed to be relevant.
• The population served within each sensor's area of information was estimated using downscaled socio-demographic data.

Contributions

• Introduces a novel approach for evaluating the spatial relevance of flood sensor observations, integrating both natural and human system perspectives.
• Provides a method for assessing the information content of hydrological observations in the context of social and natural systems to generate actionable scientific insights.

Funding

Not explicitly mentioned in the provided text.

Citation

@article{Brelsford2026MultiObjective,
  author = {Brelsford, Christa and Coon, Ethan T. and Wang, Mark and Rosenheim, Nathanael and Brake, Nicholas and Haselbach, Liv and Passalacqua, Paola},
  title = {Multi-Objective Urban Observational Strategies: A Risk-Based Framework for Expanding Flood Sensor Networks},
  journal = {Repository for Publications and Research Data (ETH Zurich)},
  year = {2026},
  doi = {10.3929/ethz-c-000795276},
  url = {https://doi.org/10.3929/ethz-c-000795276}
}