Probabilistic assessment of climate-related impacts and risks in ports

IF 9.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Reliability Engineering & System Safety Pub Date : 2024-07-14 DOI:10.1016/j.ress.2024.110333
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Abstract

Port activities are crucial for sustained, long-term economic growth, serving as the primary nodes for importing and exporting goods within global supply chains. Given their coastal locations, ports are inherently exposed to climate hazards, such as waves and extreme sea levels, requiring large investments in resilient infrastructure. This study introduces an innovative methodology for assessing climate-related impacts and risks in ports, applicable to both existing and new constructions. This approach aims to facilitate climate-informed decision-making and enhance the management of coastal structures and ports under high uncertainty. The methodology’s novelty resides in: (1) the development of a port-specific risk framework capable of estimating impacts from both extreme events and daily conditions; (2) the integration of the latest advancements in nearshore climate hazard modeling; (3) the application of high-resolution tools for accurately simulating wave propagation towards harbor basins and the interaction between waves and structures; (4) the probabilistic determination of failure modes and operational shutdowns susceptible to climate conditions; and (5) the estimation of economic losses resulting from diminished operational capacity, in addition to the degradation of reliability and functionality in port infrastructures. Formulated within the Intergovernmental Panel on Climate Change (IPCC) risk framework and anchored in established Spanish Recommendations for Maritime Works (ROM Program), this methodology has been applied to a complex, state-owned, newly-built outer port in the Mediterranean Sea. Preliminary findings suggest that, over the course of a 50-year lifespan, climate-related risks could lead to cumulative losses nearing 10 million euros for such infrastructure. Nevertheless, in scenarios marked by extreme events, potential losses could escalate to as much as 100 million euros, despite their occurrence being relatively rare (with a probability of only 0.1%). It stresses the significant uncertainties encountered when evaluating climate-related risks for critical infrastructure, including ports, and highlights the critical need for advanced methodologies to accurately understand these risks.

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港口气候相关影响和风险的概率评估
港口活动是全球供应链中进出口货物的主要节点,对长期持续的经济增长至关重要。由于地处沿海,港口本身就暴露在气候灾害(如海浪和极端海平面)的影响之下,因此需要对具有抗灾能力的基础设施进行大量投资。本研究介绍了一种评估港口气候相关影响和风险的创新方法,适用于现有和新建港口。这种方法旨在促进根据气候做出决策,并在高度不确定的情况下加强对沿海结构和港口的管理。该方法的新颖之处在于(1) 制定了一个港口风险框架,能够估算极端事件和日常条件的影响;(2) 整合了近岸气候灾害建模的最新进展;(3) 应用高分辨率工具,精确模拟波浪向港池的传播以及波浪与结构之间的相互作用;(4) 从概率上确定易受气候条件影响的故障模式和运行停机情况;以及 (5) 除了港口基础设施可靠性和功能性的退化之外,还估算因运行能力下降而造成的经济损失。该方法是在政府间气候变化专门委员会(IPCC)的风险框架内制定的,并以既定的西班牙海事工程建议(ROM 计划)为基础,应用于地中海一个复杂的国有新建外港。初步研究结果表明,在 50 年的生命周期内,与气候相关的风险可能导致此类基础设施的累计损失接近 1000 万欧元。然而,在极端事件频发的情况下,尽管发生的概率相对较低(仅为 0.1%),但潜在损失可能高达 1 亿欧元。报告强调,在评估包括港口在内的关键基础设施与气候有关的风险时,会遇到很大的不确定性,并强调亟需先进的方法来准确了解这些风险。
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来源期刊
Reliability Engineering & System Safety
Reliability Engineering & System Safety 管理科学-工程:工业
CiteScore
15.20
自引率
39.50%
发文量
621
审稿时长
67 days
期刊介绍: Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.
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