Climate change indicators dataset for coastal locations of the European Atlantic area

Habeeb, Bassel; Bastidas‐Arteaga, Emilio

doi:10.1016/j.dib.2022.108339

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Forecasting river flows is mostly based on climate models and historical time series forecasting methods. Climate models are used to construct Representative Concentration Pathways scenarios [13,14]; however, their results are highly uncertain due to climate models' variability, forcing factors, aerosols, jet stream impact, resolution, etc. On the other hand, time series forecasting methods may be a preferable choice since they are based on actual data observed directly from the system.…”

Section: Introductionmentioning

confidence: 99%

Conditional seasonal markov-switching autoregressive model to simulate extreme events: Application to river flow

Habeeb,

Bastidas-Arteaga,

Sánchez-Silva

et al. 2024

Environmental Modelling & Software

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Section: Introductionmentioning

confidence: 99%

Conditional seasonal markov-switching autoregressive model to simulate extreme events: Application to river flow

Habeeb,

Bastidas-Arteaga,

Sánchez-Silva

et al. 2024

Environmental Modelling & Software

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“…Under a changing climate, the river discharge values in some areas are expected to increase in intensity and frequency due to a wide range of natural processes causing long-term shifts in temperature and weather patterns leading to more volatile precipitation patterns (Habeeb and Bastidas-Arteaga, 2022). Developing an assessment for flood frequency analysis methods under a changing climate is essential for effectively implementing flood risk assessment and management directives.…”

mentioning

confidence: 99%

Assessment of the impact of climate change and flooding on bridges and surrounding area

Habeeb,

Bastidas-Arteaga

2023

Front. Built Environ.

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Climate change has the potential to significantly impact transportation infrastructure performance. Bridges crossing rivers are designed to withstand a maximum flood level (design flood) considering the expected frequencies and magnitudes of floods in the area. The design flood level ensures the safety of the bridge without being damaged against historical flooding levels. However, flood magnitude and/or frequency are expected to increase in some regions due to climate change, and therefore, bridges may not be able to maintain their serviceability and safety, resulting in significant risk to users and economic losses. This problem is approached in this paper by investigating the effects of flooding and climate change on bridges crossing rivers and surrounding areas. The input of the proposed methodology is the river flow for various climate change scenarios as well as the topography and bridge characteristics. Flood frequency analysis is used to provide information about the magnitude and frequency of annual maximum river discharges under a changing climate. Afterwards, several risk assessment indicators are computed for the bridge and its surrounding area. In addition, stochastic Poisson process is integrated to account for the randomness of floods arrivals and to investigate stochastically the probability of exceeding the design flood level. The proposed methodology is illustrated with a case study in the United Kingdom. The results indicate that the risk of flooding, and associated consequences, would increase for the case study when considering more pessimistic climate change scenarios. Findings from this study can be used to inform decision making for improving bridges’ resilience.

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A Stochastic Framework of Risk Assessment of Flooding on Stability and Serviceability of Bridges Under a Changing Climate

Habeeb,

Liberge,

Bastidas-Arteaga

2024

Lecture Notes in Civil Engineering

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Climate change indicators dataset for coastal locations of the European Atlantic area

Cited by 5 publications

References 3 publications

Conditional seasonal markov-switching autoregressive model to simulate extreme events: Application to river flow

Conditional seasonal markov-switching autoregressive model to simulate extreme events: Application to river flow

Assessment of the impact of climate change and flooding on bridges and surrounding area

A Stochastic Framework of Risk Assessment of Flooding on Stability and Serviceability of Bridges Under a Changing Climate

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