Benefit–Cost Analysis of Low-Cost Flood Inundation Sensors

Author:

Rose Adam1,Wei Dan2,Machado Juan3ORCID,Spencer Kyle4

Affiliation:

1. Senior Research Fellow, Center for Risk and Economic Analysis of Threats and Emergencies, and Research Professor, Sol Price School of Public Policy, Univ. of Southern California, 650 Childs Way, RGL 230, Los Angeles, CA 90089.

2. Research Fellow, Center for Risk and Economic Analysis of Threats and Emergencies, and Research Associate Professor, Sol Price School of Public Policy, Univ. of Southern California, 3518 Trousdale Parkway Los Angeles, CPA 379C, Los Angeles, CA 90089 (corresponding author).

3. Research Associate, Center for Risk and Economic Analysis of Threats and Emergencies, Univ. of Southern California, 1150 S. Olive St., Suite 1700, Los Angeles, CA 90015. ORCID: .

4. Chief Resilience Officer, City Manager’s Office of Resilience, City of Norfolk, Virginia, 810 Union St., Norfolk, VA 23510.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Social Sciences,General Environmental Science,Civil and Structural Engineering,Building and Construction

Reference46 articles.

1. AECOM. 2012. “Flood risk assessment and risk reduction plan.” Accessed November 17 2020. https://charlottenc.gov/StormWater/Flooding/Documents/Flood_RARR_Plan-Final.pdf.

2. Wireless sensor network for AI-based flood disaster detection;Al Qundus J.;Ann. Oper. Res.,2020

3. Andersson K. and M. S. Hossain. 2015. “Heterogeneous wireless sensor networks for flood prediction decision support systems.” In Proc. IEEE INFOCOM 133–137. New York: IEEE.

4. SMS based flood monitoring and early warning system;Azid S.;ARPN J. Eng. Appl. Sci.,2015

5. Quantifying the Benefit of a Flood Warning System

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