Investigation of Historical and Future Air Temperature Changes in the UAE

Hassan, Reem Nasef; Zeiada, Waleed; Abuzwidah, Muamer; Mirou, Sham Marwan; Ashour, Ayat Gamal

doi:10.1007/978-3-030-79801-7_81

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Flexible pavement design in the UAE is currently based on the AASHTO 1993, which doesn't take into account the local climate conditions in the UAE (Hassan et al,2022 ;Ashour et al, 2022) Therefore, the primary goal of this research is to create the climatic data inputs necessary for structural pavement design in the UAE as a first step toward implementing the MEPDG, known as AASHTOWare ME Pavement Design in the UAE.…”

Section: Introductionmentioning

confidence: 99%

Development of Climate Data Inputs Towards the Implementation of Mechanistic-Empirical Pavement Design in the UAE

Zeiada,

Mirou,

Ashour

et al. 2023

The International Conference on Civil Infrastructure and Construction

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The current state of practice in the UAE is to use AASHTO 1993 for pavement designs, yet this method is empirical and has several limitations. The local traffic characteristics, climate conditions, and materials properties must be incorporated in more explicit and mechanistic ways. This study is part of ongoing local research efforts to move towards the implementation of the Mechanistic-Empirical Pavement Design Guide, known as MEPDG, which depends on fundamental material properties, integrated climate conditions, and real traffic characteristics. The main objective of this study is to develop the historical climate data files and climate inputs for 20 different automatic and airports stations covering the entire UAE. These weather stations were divided into four geographical regions: desert area, urban area, coastal area, and mountainous area. In addition, the study investigates the impact of local climate conditions on the simulated asphalt pavement performance using the AASHTOWare Pavement ME Design. This study showed that, however, UAE is a small country yet there are some differences between the climate records of the different weather stations, which is expected to affect pavement design and performance depending on the project site location. For example, the warmest weather station has 36% higher temperature than the coldest weather station at Jabal Jais. This in turn displayed up to 40% and 23% differences in the asphalt concrete (AC) rutting and total rutting, respectively between these extreme weather stations. These findings and many other emphasize the crucial need to consider the climate data inputs at the project level bases, where a single climate data file cannot represent the entire UAE.

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Section: Introductionmentioning

confidence: 99%

Development of Climate Data Inputs Towards the Implementation of Mechanistic-Empirical Pavement Design in the UAE

Zeiada,

Mirou,

Ashour

et al. 2023

The International Conference on Civil Infrastructure and Construction

Self Cite

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Development of superpave asphalt binder specifications to meet climate conditions in the UAE

Zeiada,

Ashour,

Mirou

et al. 2024

International Journal of Pavement Engineering

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Flood Risk Assessment for Sustainable Transportation Planning and Development under Climate Change: A GIS-Based Comparative Analysis of CMIP6 Scenarios

Abuzwidah,

Elawady,

Ashour

et al. 2024

Sustainability

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Climate change is causing a range of environmental impacts, including increased flood frequency and intensity, posing significant risks to human populations and transportation infrastructure. Assessing flood risk under climate change is critical, but it is challenging due to uncertainties associated with climate projections and the need to consider the interactions between different factors that influence flood risk. Geographic Information Systems (GISs) are powerful tools that can be used to assess flood risk under climate change by gathering and integrating a range of data types and sources to create detailed maps of flood-prone areas. The primary goal of this research is to create a comprehensive GIS-based flood risk map that includes various climate change scenarios derived from the Coupled Model Intercomparison Project Phase 6 (CMIP6) models. This goal will leverage the Analytic Hierarchy Process (AHP) methodology to better understand the impacts of these climate change scenarios on the transportation network. Furthermore, this study aims to evaluate the existing flood risk map and assess the potential impacts of prospective climate scenarios on the levels of flood risk. The results showed that the northern and coastal regions of the United Arab Emirates (UAE) are at higher risk of flooding, with the majority of the population living in these areas. The projections for future flood risk levels indicate that under the SSP245 scenario, flood risk levels will generally be low, but some areas in the northern and eastern regions of the UAE may still face high to very high flood risk levels due to extensive urbanization and low-lying coastal regions. Under the SSP585 scenario, flood risk levels are projected to be significantly higher, with a widespread distribution of very high and high flood risk levels across the study area, leading to severe damage to infrastructure, property, and human lives. The recent publication of the CMIP6 models marks a significant advancement, and according to the authors’ knowledge, there have been no studies that have yet explored the application of CMIP6 scenarios. Consequently, the insights provided by this study are poised to be exceptionally beneficial to researchers globally, underscoring the urgent necessity for holistic sustainable flood risk management approaches for geography, planning, and development areas. These approaches should integrate both sustainable transportation infrastructure development and risk mitigation strategies to effectively address the anticipated impacts of flooding events within the study region.

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Investigation of Historical and Future Air Temperature Changes in the UAE

Cited by 3 publications

References 9 publications

Development of Climate Data Inputs Towards the Implementation of Mechanistic-Empirical Pavement Design in the UAE

Development of Climate Data Inputs Towards the Implementation of Mechanistic-Empirical Pavement Design in the UAE

Development of superpave asphalt binder specifications to meet climate conditions in the UAE

Flood Risk Assessment for Sustainable Transportation Planning and Development under Climate Change: A GIS-Based Comparative Analysis of CMIP6 Scenarios

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