Optimization of multiple storm surge risk mitigation strategies for an island City On a Wedge

Robert L. Ceres, Chris E. Forest, K. Keller

Research output: Contribution to journalArticle

Abstract

Managing coastal flood risks involves selecting a portfolio of different strategies. Analyzing this choice typically requires a model. State-of-the-art coastal risk models provide detailed regional information, but they can be difficult to implement, computationally challenging, and potentially inaccessible. Simple economic damage models are more accessible but may not incorporate important features and thus fail to model risks and trade offs with enough fidelity to support decision making. Here, we develop a new framework to analyze coastal flood risk management. The framework is computationally inexpensive yet incorporates common features of many coastal cities. We apply this framework to an idealized coastal city and assess and optimize two objectives using combinations of risk mitigation strategies against a wide range of future states of the world. We find that optimization using combinations of strategies allows for identification of Pareto optimal strategy combinations that outperform individual strategy options.

Original languageEnglish (US)
Pages (from-to)341-353
Number of pages13
JournalEnvironmental Modelling and Software
Volume119
DOIs
StatePublished - Sep 2019

Fingerprint

storm surge
mitigation
Risk management
Decision making
damage
Economics
city
economics

All Science Journal Classification (ASJC) codes

  • Software
  • Environmental Engineering
  • Ecological Modeling

Cite this

@article{4ca0e0dccd02478cad3a53b8c965dece,
title = "Optimization of multiple storm surge risk mitigation strategies for an island City On a Wedge",
abstract = "Managing coastal flood risks involves selecting a portfolio of different strategies. Analyzing this choice typically requires a model. State-of-the-art coastal risk models provide detailed regional information, but they can be difficult to implement, computationally challenging, and potentially inaccessible. Simple economic damage models are more accessible but may not incorporate important features and thus fail to model risks and trade offs with enough fidelity to support decision making. Here, we develop a new framework to analyze coastal flood risk management. The framework is computationally inexpensive yet incorporates common features of many coastal cities. We apply this framework to an idealized coastal city and assess and optimize two objectives using combinations of risk mitigation strategies against a wide range of future states of the world. We find that optimization using combinations of strategies allows for identification of Pareto optimal strategy combinations that outperform individual strategy options.",
author = "Ceres, {Robert L.} and Forest, {Chris E.} and K. Keller",
year = "2019",
month = "9",
doi = "10.1016/j.envsoft.2019.06.011",
language = "English (US)",
volume = "119",
pages = "341--353",
journal = "Environmental Modelling and Software",
issn = "1364-8152",
publisher = "Elsevier BV",

}

Optimization of multiple storm surge risk mitigation strategies for an island City On a Wedge. / Ceres, Robert L.; Forest, Chris E.; Keller, K.

In: Environmental Modelling and Software, Vol. 119, 09.2019, p. 341-353.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Optimization of multiple storm surge risk mitigation strategies for an island City On a Wedge

AU - Ceres, Robert L.

AU - Forest, Chris E.

AU - Keller, K.

PY - 2019/9

Y1 - 2019/9

N2 - Managing coastal flood risks involves selecting a portfolio of different strategies. Analyzing this choice typically requires a model. State-of-the-art coastal risk models provide detailed regional information, but they can be difficult to implement, computationally challenging, and potentially inaccessible. Simple economic damage models are more accessible but may not incorporate important features and thus fail to model risks and trade offs with enough fidelity to support decision making. Here, we develop a new framework to analyze coastal flood risk management. The framework is computationally inexpensive yet incorporates common features of many coastal cities. We apply this framework to an idealized coastal city and assess and optimize two objectives using combinations of risk mitigation strategies against a wide range of future states of the world. We find that optimization using combinations of strategies allows for identification of Pareto optimal strategy combinations that outperform individual strategy options.

AB - Managing coastal flood risks involves selecting a portfolio of different strategies. Analyzing this choice typically requires a model. State-of-the-art coastal risk models provide detailed regional information, but they can be difficult to implement, computationally challenging, and potentially inaccessible. Simple economic damage models are more accessible but may not incorporate important features and thus fail to model risks and trade offs with enough fidelity to support decision making. Here, we develop a new framework to analyze coastal flood risk management. The framework is computationally inexpensive yet incorporates common features of many coastal cities. We apply this framework to an idealized coastal city and assess and optimize two objectives using combinations of risk mitigation strategies against a wide range of future states of the world. We find that optimization using combinations of strategies allows for identification of Pareto optimal strategy combinations that outperform individual strategy options.

UR - http://www.scopus.com/inward/record.url?scp=85068475009&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85068475009&partnerID=8YFLogxK

U2 - 10.1016/j.envsoft.2019.06.011

DO - 10.1016/j.envsoft.2019.06.011

M3 - Article

AN - SCOPUS:85068475009

VL - 119

SP - 341

EP - 353

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

SN - 1364-8152

ER -