Benefit-Cost Analysis of Low-Cost Flood Inundation Sensors

被引:2
|
作者
Rose, Adam [1 ,2 ]
Wei, Dan [3 ,4 ]
Machado, Juan [5 ]
Spencer, Kyle [6 ]
机构
[1] Univ Southern Calif, Ctr Risk & Econ Anal Threats & Emergencies, 650 Childs Way,RGL 230, Los Angeles, CA 90089 USA
[2] Univ Southern Calif, Sol Price Sch Publ Policy, 650 Childs Way,RGL 230, Los Angeles, CA 90089 USA
[3] Univ Southern Calif, Ctr Risk & Econ Anal Threats & Emergencies, 3518 Trousdale Pkwy Los Angeles,CPA 379C, Los Angeles, CA 90089 USA
[4] Univ Southern Calif, Sol Price Sch Publ Policy, 3518 Trousdale Pkwy Los Angeles,CPA 379C, Los Angeles, CA 90089 USA
[5] Univ Southern Calif, Ctr Risk & Econ Anal Threats & Emergencies, 1150 S Olive St,Suite 1700, Los Angeles, CA 90015 USA
[6] City Managers Off Resilience, 810 Union St, Norfolk, VA 23510 USA
关键词
Flood sensors; Benefit-cost analysis; Hazard warnings; Flood impacts; Disaster risk management; WARNINGS; CITIES; RISK; LIFE;
D O I
10.1061/(ASCE)NH.1527-6996.0000596
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The demand for inexpensive and reliable warning systems has increased in recent years as a result of the increase in the number and severity of flood disasters. A new generation of low-cost sensors for flood monitoring and warning is being developed by the federal government and private sectors, in some cases collaboratively. We perform a benefit-cost analysis of this new product category, (i.e., low-cost flood inundation sensors), which can readily be deployed in a wireless or internet of things network. The use of these sensors can improve the coverage and lengthen the lead time of flood warning systems. The production costs of this new technology are only a fraction of those of existing sensors with similar capability and reliability, and operating costs are modest. Benefits depend on such factors as the ability to improve lead times of warnings to reduce property damage, deaths, and injuries from floods as well as the extent of adoption of the new sensors. Our analysis indicates a benefit-cost ratio of 1.4 to 1. However, our results are based on several assumptions. Hence, we have undertaken extensive sensitivity analyses to determine that our results are robust.
引用
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页数:13
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