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This chapter investigates the strategic investments by Saudi Arabia, Qatar, and the UAE toward non-hydrocarbon-based energy sources. This move marks a critical juncture in the region’s energy policy landscape. Driven by a multifaceted agenda – reducing reliance on hydrocarbons, mitigating carbon emissions, and fostering a more diversified and industrially productive economy – the Gulf states are actively pursuing renewable and nuclear energy solutions. Their path, however, is fraught with obstacles, and this chapter critically examines the institutional barriers with the potential to significantly impede their progress.
This chapter explores the contested terrain of “subsidies” as applied to the Gulf region’s energy policies by multilateral organizations. It reviews how the Gulf states navigate the definitions and regulations established by international bodies such as the World Trade Organization and the International Energy Agency, and reviews the region’s defense of its energy pricing regimes in the face of international scrutiny. The chapter also analyzes how these low and regulated energy pricing frameworks, viewed as integral to the Gulf’s social contract and industrial strategy, present a challenge to established international norms and trade policies. Furthermore, this analysis extends to the strategic positioning of Gulf states within global forums, where they strive to align their energy practices with international trade standards while safeguarding their development priorities. By doing so, Gulf states aim to shape the future direction of global energy governance in a way that accommodates their specific economic and developmental needs.
The phylogeny of the highly diverse bivalve order Venerida can be traced back to the Triassic, thanks to the well-understood evolution of its hinge system. I here suggest that the Early or Middle to Late Triassic genus Pseudocorbula is at the root of this phylogenetic lineage. The hinge of Pseudocorbula is primitive relative to the Early Jurassic Eotrapezium in the lack of a chevron-shaped AII–2b complex below the umbo of the left valve. However, both Pseudocorbula and Eotrapezium lack cardinal tooth 3a in the right valve. It is suggested that this lack stimulated the evolution of cardinal tooth 1, which first appeared as a small tubercle at the posterior end of lateral tooth AI that fits below the AII–2b complex; this early stage evolved into the well-known veneroid hinge with a differentiated cardinal tooth 1 in the pivotal position below the umbo of the right valve and the 2a–2b pair of cardinal teeth in the left valve. Pseudocorbulinae new subfamily is proposed for taxa that represent the earliest stage of veneroid hinge evolution, which is placed in Isocyprinidae. This phylogenetic hypothesis extends the roots of Venerida back to the Early or early Middle Triassic, a time that also saw the first appearance of oysters and modern scallops.
In this chapter, we explore more of the ejecta diversity. There is a much wider range of morphologies, particularly when smaller diameter craters or craters formed in the Northern Plains are considered.
Unsteady, non-equilibrium stagnation-point boundary layers are analysed using a newly developed engineering correlation that links the magnitude of atomic mass fraction fluctuations in the free stream to their corresponding values at the wall. Analytical solutions to the species conservation equation alongside empirical correlations are used to derive a generalised correlation, taking into account diffusive transport, finite-rate reactions and arbitrary surface catalycity. Fully coupled transient numerical simulations are performed to assess the accuracy of the approximate theory, resulting in an agreement of ${\lt } 12.5$ %. Four scaling parameters are identified: the Damkoehler number, and ratios of boundary-layer thickness, Stokes-layer thickness and wall catalycity. The magnitude of atomic-mass-fraction fluctuations at the wall is highest for frozen boundary layers and non-catalytic materials. Typical experimental operating conditions of high-enthalpy facilities are used to assess the relevance of oscillating mass fractions on gas–surface interaction. It is found that wall conditions can be severely affected by unsteadiness, leading to additional uncertainties in the interpretation of test results. The derived theory provides a first simple analytical framework, enabling improved analysis of transient high-enthalpy experiments and motivates future studies employing higher-fidelity models in order to remove uncertainty in the determination of gas–surface interaction rates.
Fishing has historically altered marine ecosystems around the Mediterranean, so that present assessments often reveal a distorted representation of past, pristine marine assemblages and food webs. Marine protected areas (MPAs), where fishing is restricted or prohibited, could provide reference information about the structure of fish assemblages under healthier (protected) conditions. Here, we collected rocky reef fish data using visual census at three MPAs in the Ligurian Sea (Bergeggi Island, Portofino, and Cinque Terre; NW Mediterranean) across a protection gradient: fully and partially protected conditions within the MPAs, and conditions open to fishing outside MPAs. Results show that: (i) fish assemblages’ structures (i.e. taxa composition and relative biomasses) change with the protection level; (ii) total fish biomass and the biomass of high-level fish predators are positively correlated with the level of protection; (iii) biomass of target species (i.e. Epinephelus marginatus, Sciaena umbra, Diplodus sargus, and D. vulgaris) are positively correlated with the protection level. In conclusion, this study shows that: (i) effective protection against fishing may allow the recovery of rocky reef fish assemblages; (ii) MPAs may enable us to better understand the structure of coastal assemblages, which are dominated in terms of biomass by high-level fish predators under healthier (protected) conditions. This study thus offers grounds for discussion of how important is the adoption of systematic ecological monitoring to assess the effectiveness of each individual MPA, but also, more importantly, to properly effectively achieve international conservation targets, such as the ‘30×30’ target, agreed by the international community.
We consider the types of information available to the planetary geomorphologist to investigate craters on Mars. This information primarily takes the form of images, as well as topographic and compositional data, collected from Mars orbit by a variety of spacecraft. We then review aspects of the chronology of Mars, from the earliest geologic epoch (the Noachian) until the most recent (the Amazonian), and how the rocks formed during these time periods are distributed across the planet. We discuss that what can be observed on Mars today is not the way in which the planet has appeared throughout its history.
This foundational chapter initiates a critical examination of the Gulf region’s multifaceted decarbonization strategies. Having traditionally thrived on hydrocarbon wealth, the region now confronts an interconnected nexus of challenges: climate action, economic diversification, and geopolitical realignments. This introduction contends that decarbonization in the Gulf extends beyond environmental imperatives; rather it represents a calculated maneuver to transcend the enduring constraints of the “dual economy” model, a legacy of colonialism. By adopting sustainable practices, Gulf states seek to reshape the established economic order and secure their positions as modern developmental states.
Finally, the chapter outlines a structural roadmap for the book. This roadmap offers both a chronological and thematic guide, aiding the reader in navigating the complexities of the Gulf’s multifaceted journey toward a decarbonized, diversified, and sustainable future.
This chapter embarks on an in-depth exploration of the evolving role played by the Gulf States, particularly Saudi Arabia, Qatar, and the UAE, within international climate negotiations. This chapter sketches the evolving trajectory of the Gulf states’ engagement with climate change and traces their metamorphosis from a position of initial resistance toward a more proactive, albeit strategically calculated, form of participation. This chapter also provides an analysis of the intricate process of reconciliation undertaken by these hydrocarbon-reliant economies in the face of mounting international pressure for demonstrably dedicated climate action. By illuminating the diplomatic maneuvers and strategic considerations employed by the GCC states during negotiations, the chapter exposes the delicate balancing act they undertake between safeguarding their economic interests and fulfilling the demands of global climate change mitigation.
High-resolution particle image velocimetry (PIV) particle-to-velocity analyses using small interrogation areas (IAs) often require substantial processing time. To overcome this limitation, a generative adversarial network (GAN)-based model is proposed to achieve spatio-temporal super-resolution (SR) reconstruction from low-resolution PIV data with large IAs, thereby significantly reducing post-processing time. Time-resolved PIV measurements of plasma-induced vortex flows, covering vortex formation, growth, transition and breakdown stages, are employed to train and evaluate the model with multi-scale vortical structures. By sequentially constructing spatial and temporal datasets, the GAN-based model enables reliable SR reconstruction at different scaling factors. Reconstruction accuracy is systematically assessed using time-averaged, instantaneous and phase-averaged velocity fields. At SR factors of $\times$4 and $\times$8, the reconstructed fields closely match high-resolution references, effectively capturing both fluctuating velocities and small-scale vortical structures. In contrast, $\times$16 reconstructions exhibit diminished accuracy due to the loss of fine-scale information from highly downsampled inputs. For time-averaged fields, high-resolution reconstructions reliably capture plasma jet characteristics at all SR factors. To enhance generalisation, transfer learning is introduced to fine tune the parameters of SR-related layers in the generator, enabling accurate reconstructions under varying vortex dynamics. In addition, the efficiency gains in PIV particle-to-velocity analysis and the fundamental limitations on achievable SR factors imposed by spatio-temporal data correlations are discussed. This study demonstrates that GAN-based spatio-temporal SR models offer a promising approach to accelerate PIV analyses while maintaining high reconstruction fidelity with diverse flow conditions.
This chapter delves into the multifaceted challenges and strategic approaches associated with energy pricing reform policies in the Gulf states, focusing on Saudi Arabia, Qatar, and the UAE. This chapter provides a rigorous analysis of the steps implemented until the early 2020s, investigating their multifaceted implications for economic development, environmental sustainability, and long-term fiscal stability. Furthermore, it critically examines the institutional barriers that could impede the comprehensive implementation of energy pricing reform.