TY - JOUR
T1 - A cost-effective, environmentally-aware undersea infrastructure to enhance community resilience to tsunamis
AU - Xerandy,
AU - Znati, Taieb
AU - Comfort, Louise K.
N1 - Funding Information:
This work is funded by National Science Foundation – United States Grant # OCE 1331463 , Hazards SEES Type 2: From Sensors to Tweeters: A Sustainable Sociotechnical Approach for Detecting, Mitigating, and Building Resilience to Hazards.
Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2016/12/1
Y1 - 2016/12/1
N2 - The focus of this paper is on mitigating the impact of near-field tsunami detection on humans and the environment. We propose a hybrid network infrastructure that combines an undersea sensor network with fiber optic cable for cost effective, timely, and reliable near-field tsunami detection. We first formulate a cost minimization problem for near-field tsunami detection. To capture important characteristics of the environment, the optimization model incorporates into its formalization important sea environment factors and a realistic acoustic propagation model. A heuristic approach is developed to derive a near-optimal solution to the original cost minimization problem. To demonstrate the viability of the proposed model, a case study, focused on Padang City is used, and a comparative analysis of different network configurations, using different design parameters and cost scenarios is performed. Three different cost functions, namely linear, power-law, and logarithmic, are used in the analysis. The results show that the heuristic computes efficient network configurations when a solution exists, for the linear, logarithmic, and power-law cost functions. However, further assessment should be made on the results to anticipate a local maximum that may exist in the cost function.
AB - The focus of this paper is on mitigating the impact of near-field tsunami detection on humans and the environment. We propose a hybrid network infrastructure that combines an undersea sensor network with fiber optic cable for cost effective, timely, and reliable near-field tsunami detection. We first formulate a cost minimization problem for near-field tsunami detection. To capture important characteristics of the environment, the optimization model incorporates into its formalization important sea environment factors and a realistic acoustic propagation model. A heuristic approach is developed to derive a near-optimal solution to the original cost minimization problem. To demonstrate the viability of the proposed model, a case study, focused on Padang City is used, and a comparative analysis of different network configurations, using different design parameters and cost scenarios is performed. Three different cost functions, namely linear, power-law, and logarithmic, are used in the analysis. The results show that the heuristic computes efficient network configurations when a solution exists, for the linear, logarithmic, and power-law cost functions. However, further assessment should be made on the results to anticipate a local maximum that may exist in the cost function.
KW - Cost
KW - Fiber optic cable
KW - Heuristic
KW - Near-field tsunami
KW - Optimization
KW - Reliability
KW - Timeliness
KW - Undersea sensor
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U2 - 10.1016/j.ssci.2016.05.010
DO - 10.1016/j.ssci.2016.05.010
M3 - Article
AN - SCOPUS:84983488603
SN - 0925-7535
VL - 90
SP - 84
EP - 96
JO - Safety Science
JF - Safety Science
ER -