Zobrazeno 1 - 10
of 504
pro vyhledávání: '"Brody, Samuel"'
Autor:
Huang, Lipai, Antolini, Federico, Mostafavi, Ali, Blessing, Russell, Garcia, Matthew, Brody, Samuel D.
High-resolution flood probability maps are essential for addressing the limitations of existing flood risk assessment approaches but are often limited by the availability of historical event data. Also, producing simulated data needed for creating pr
Externí odkaz:
http://arxiv.org/abs/2409.13936
Examining the relationship between vulnerability of the built environment and community recovery is crucial for understanding disaster resilience. Yet, this relationship is rather neglected in the existing literature due to previous limitations in th
Externí odkaz:
http://arxiv.org/abs/2405.03874
Autor:
Lee, Cheng-Chun, Huang, Lipai, Antolini, Federico, Garcia, Matthew, Juanb, Andrew, Brody, Samuel D., Mostafavi, Ali
Timely, accurate, and reliable information is essential for decision-makers, emergency managers, and infrastructure operators during flood events. This study demonstrates a proposed machine learning model, MaxFloodCast, trained on physics-based hydro
Externí odkaz:
http://arxiv.org/abs/2308.06228
We propose an automated lowest floor elevation (LFE) estimation algorithm based on computer vision techniques to leverage the latent information in street view images. Flood depth-damage models use a combination of LFE and flood depth for determining
Externí odkaz:
http://arxiv.org/abs/2306.03050
Unveiling Vulnerability and Inequality in Disrupted Access to Dialysis Centers During Urban Flooding
Despite the criticality of dialysis facilities, limited knowledge exists regarding the extent and inequality of disrupted access caused by weather events. This study uses mobility data in the context of the 2017 Hurricane Harvey in Harris County to e
Externí odkaz:
http://arxiv.org/abs/2208.09425