A review of recent advances in urban flood research

Author:

Agonafir Candace,Lakhankar Tarendra,Khanbilvardi Reza,Krakauer Nir,Radell Dave,Devineni NareshORCID

Funder

Office of Science

Biological and Environmental Research

U.S. Department of Energy

NOAA Center for Earth System Sciences and Remote Sensing Technologies

National Oceanic and Atmospheric Administration

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,Water Science and Technology,Oceanography

Reference198 articles.

1. Flood risk assessment for urban water system in a changing climate using artificial neural network;Abdellatif;Nat Hazards,2015

2. Accounting for uncertainties of the TRMM satellite estimates;AghaKouchak;Remote Sens (Basel),2009

3. A Machine Learning Approach to Evaluate the Spatial Variability of New York City’s 311 Street Flooding Complaints;Agonafir;Comput Environ Urban Syst,2022

4. Understanding New York City Street Flooding through 311 Complaints;Agonafir;J Hydrol,2021

5. Socio-economic impacts of flooding: A review of the empirical literature;Allaire;Water Security,2018

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