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This chapter discusses the importance of fluid flow mechanisms described in Chapter 8 in controlling the local thermal regime of the strike-slip terrains and transform margins (i.e., determining the proportion of heat convection to heat conduction). It continues with an argument about how important it is to resolve the distribution of the primary fluid reservoirs in the system, fluid sources and sinks, fluid migration pathways, and the associated migration rates for the construction of a local quantitative thermal model or at least the appropriate use of a known analog in the qualitative way. This chapter places the fluid flow mechanisms described in Chapter 8 in the context of different tectonic settings and discusses how convective heat transfer controls their thermal regimes. It starts with discussion of oceanic and continental transforms, then pull-apart terrains, and ends with known active geothermal fields located in strike-slip settings and their characteristics.
This chapter discusses the spatial and temporal evolution of the sediment erosion and catchment in various strike-slip fault-related and transform margin-related settings. It documents that their study requires the use of 3D seismic imaging tied to a large number of wells, instead of a grid of reflection seismic profiles tied to wells. The chapter also focuses on the effects of tectonics and climatic forcing on the aforementioned deposition. Supporting studies include seismic- and well-based ones and studies constrained by millennium-scale continental margin deep-sea depositional rates and activity of sediment feeder systems.
Wetlands in hypersaline environments are especially vulnerable to loss and degradation, as increasing coastal urbanization and climate change rapidly exacerbate freshwater supply stressors. Hypersaline wetlands pose unique management challenges that require innovative restoration perspectives and approaches that consider complex local and regional socioecological dynamics. In part, this challenge stems from multiple co-occurring stressors and anthropogenic alterations, including estuary mouth closure and freshwater diversions at the catchment scale. In this article, we discuss challenges and opportunities in the restoration of hypersaline coastal wetland systems, including management of freshwater inflow, shoreline modification, the occurrence of concurrent or sequential stressors, and the knowledge and values of stakeholders and Indigenous peoples. Areas needing additional research and integration into practice are described, and paths forward in adaptive management are discussed. There is a broad need for actionable research on adaptively managing hypersaline wetlands, where outputs will enhance the sustainability and effectiveness of future restoration efforts. Applying a collaborative approach that integrates best practices across a diversity of socio-ecological settings will have global benefits for the effective management of hypersaline coastal wetlands.
This chapter starts with characteristics of matrix- and fracture-controlled reservoirs. Building upon Chapter 7, it focuses on a detailed discussion of depositional environments of strike-slip terrains and transform margins in an attempt to understand their potential for developing reservoirs capable of hosting hydrocarbons. The discussion includes details from several natural laboratories, such as the Vienna Basin in Austria, Czech Republic, and Slovakia, representing the continental strike-slip settings and Equatorial Atlantic and Guyana–Suriname regions representing transform margins. The knowledge from these examples is combined with other case studies from the literature on these two tectonic settings. Although every margin and basin is unique, this chapter tries to explore the commonality within continental strike-slip and transform margin settings. This chapter focuses on their main depositional trends and their role in developing specific characteristic types of reservoirs to form a framework that can be applied to other continental strike-slip terrains and transform margins.
This chapter discusses the transform fault precursors, continental strike-slip fault zones, and the role of pre-existing anisotropy on their development. It focuses on the potential perturbation of their controlling dynamics and its effect on their structural architecture. The chapter contains a series of examples from failed and successful rift systems, helping to understand the role of different scales of pre-existing anisotropy. These examples serve to illustrate the wide variety of transform, transfer, and accommodation zones that may evolve as a result of crustal inhomogeneities during the activity of a controlling stress regime. They also show how the anisotropy zones manifest themselves in different ways, depending on the relationship between the type of anisotropy and the imposed slip vector.
This chapter subdivides the hydrocarbon migration into primary, secondary, and tertiary migrations. These are described as a multiphase fluid flow driven by petroleum fluid potential gradients. The primary migration represents the release of generated hydrocarbon molecules from the kerogen matrix when the sorptive capacity of the matrix is exceeded, often called expulsion by pressure-driven movement through the source rock matrix and transient microfractures. In the case of oil, the secondary and tertiary migrations represent a longer-range flow from source rock to reservoir and remigration from one accumulation to another, respectively. It takes place through a combination of carrier beds, faults, and fractures driven by the balance between fluid potential gradients that are created by buoyancy force, hydraulic gradient, capillary pressure and frictional resistivity force. Description of each force contains mathematical formulations. The secondary migration is described as including separate phase flow, diffusion, solution, and dissolution of gas in oil and water and chemical cracking. The discussion is supported by case studies from the literature.
This chapter discusses the progressive evolution of the transform, which is supported by published constraints including analog material modeling, earthquake data, sedimentological data, paleomagnetic data, and reflection seismic images. It focuses on the host lithosphere control on the depth extent of evolving transcurrent faults and their structural styles.
This chapter focuses on the delineation of boundaries between different types of crust at transform margins. It describes various methods that allow one to make distribution maps of crustal types, and to associate specific structural architecture with underlying continental, proto-oceanic, and oceanic crusts. Further discussed are strengths and weaknesses of various constraining data and how much detail is provided by different methods.
The aim of this chapter is the classification of the various types of strike-slip faults and their structural architecture. In order to understand structural styles of transform margins, continental strike-slip fault zones, and pull-apart basins, transform margin precursors represented by continental transforms and continent–ocean transforms are discussed, together with their tectonic development histories, controlling dynamics, and resultant structural architecture. The discussion also includes ridge transform faults and associated oceanic fracture zones. Focus is also given to the structural architecture of the oceanic side of the continental–oceanic transform fault zone, its development history, its controlling dynamics, and the way they affect the evolution of the adjacent continental side, which subsequently evolves into the future transform margin.
The chapter discusses various data and methods involved in determination of timing of strike-slip faulting events and continental breakup at future transform margins, and case studies demonstrating their use. Data include either syn-tectonic strata, or rock sections lacking them. Methods include paleontological methods, systematic fluid inclusion analysis, analysis of sea-floor spreading-related magnetic-stripe anomalies, low-temperature thermochronometry methods, K–Ar and 40Ar–39Ar geochronology methods on various minerals, U–Pb zircon and calcite dating, Sm–Nd and Lu–Hf dating methods on garnet, and 14C, 10Be, 26Al cosmogenic isotope dating.
This chapter describes how structural and stratigraphic architectures involving reservoirs combined with seals represent hydrocarbon traps and control their structural, stratigraphic, or combined character in strike-slip and transform margin settings. It talks about their characteristics. Structural traps evolve with their controlling strike-slip faults that develop as not steady-state features in the continental lithosphere. The trap geometry develops in response to controlling mechanical stratigraphy and local stress field undergoing constant changes. Different structural traps in the same mature strike-slip fault zone may have been developed in different stages of its development. Older ones may have been modified during the younger stages of the strike-slip fault or subsequent event. Some structural traps can be associated with the strike-slip fault itself, others with its horse-tail structures, some with the region between the two interacting strike-slip faults, others with the tectonic setting hosting the strike-slip fault, modified by the interaction of the hosting setting with developing strike-slip fault. The environment where the strike-slip fault develops may have its own suite of pre-existing traps that get modified by the strike-slip-related deformation.
Prediction of dynamic environmental variables in unmonitored sites remains a long-standing challenge for water resources science. The majority of the world’s freshwater resources have inadequate monitoring of critical environmental variables needed for management. Yet, the need to have widespread predictions of hydrological variables such as river flow and water quality has become increasingly urgent due to climate and land use change over the past decades, and their associated impacts on water resources. Modern machine learning methods increasingly outperform their process-based and empirical model counterparts for hydrologic time series prediction with their ability to extract information from large, diverse data sets. We review relevant state-of-the art applications of machine learning for streamflow, water quality, and other water resources prediction and discuss opportunities to improve the use of machine learning with emerging methods for incorporating watershed characteristics and process knowledge into classical, deep learning, and transfer learning methodologies. The analysis here suggests most prior efforts have been focused on deep learning frameworks built on many sites for predictions at daily time scales in the United States, but that comparisons between different classes of machine learning methods are few and inadequate. We identify several open questions for time series predictions in unmonitored sites that include incorporating dynamic inputs and site characteristics, mechanistic understanding and spatial context, and explainable AI techniques in modern machine learning frameworks.
The deaths in the Antarctic of Captains Robert Falcon Scott and Lawrence “Titus” Oates are the most examined in almost all exploration. However, one object, until today unknown, gives a clue to the real story of the last three days of the Terra Nova expedition leaders. This is the sextant that Captain Scott had with him throughout his career until his death, passed from Kathleen Scott to Peter Scott and thence to its current owner. The sextant, its history and the meaning of the relic are set out before the public for the first time.
In many technical and geomechanics applications, for example tire and ski design or avalanche prediction, the capability to model the mechanical behaviour of snow is of high importance. To this end, we propose in the present study to extend the 3-D H-model, a multi-scale constitutive law originally developed for granular materials, to densely packed snow. In the model, single ice grains are described by spherical particles bonded by brittle elasto-viscoplastic bridges. Snow is thus described explicitly through its ice skeleton microstructure. As a validation, confined compression test results from the litterature are used to assess the suitability of the model to correctly describe snow behaviour. Multiple parameter studies were conducted to demonstrate the capability of the model to capture the behaviour of different snow types over a significant range of temperatures and loading rates at small deformations. Notably, the initial bond radius emerges as an effective proxy for snow aging under isothermal conditions, with stress levels increasing directly with the initial bond radius. Additionally, low strain rates and elevated temperatures are shown to influence the viscous response of ice bonds, their failure rates and the overall stress within the snow material.
This study aims to synthesize nano-metakaolin (NMK) through mechanical activation and to investigate the physical, chemical and microstructural changes that occur to the initial raw material. The efficiency of the activation process is affected by various process parameters as well as the mineralogy of the original material. Two different kaolin qualities were subjected to mechanical activation through high-energy ball-milling (HEBM) under various conditions. The parameters investigated were the milling speed and time. The final properties of the NMK samples produced were examined using X-ray diffraction, Fourier-transform infrared spectroscopy, laser dynamic light scattering, thermogravimetry/differential thermal analysis, Brunauer–Emmett–Teller and scanning electron microscopy analysis. Additionally, the pozzolanic activity of the fully activated samples was evaluated using the Chapelle test. The percentage of impurities contained in the initial kaolin affected the transformation into metakaolin. The milling parameters also affected the activation, contributing mainly to the particle size of the final material. Finally, concerning the metakaolin microstructure, the material showed a tendency to form stacks and agglomerates of plates due to the development of powerful static forces.
Rubinite, a garnet with the ideal formula Ca3Ti3+2Si3O12, is an indicator of super-reduced conditions and has been found recently in refractory inclusions in a few CV3 chondrites. We discovered rubinite in phosphide-bearing breccia from the pyrometamorphic Hatrurim Complex, Negev Desert, Israel. Aggregates of phosphide and native iron are concentrated at the boundary of thermally altered sedimentary xenoliths encased in flamite–gehlenite paralava. Rubinite, with the average empirical formula (Ca2.97Mg0.02Fe2+0.01)Σ3.00(Ti3+1.10Al0.44Ti4+0.37Mg0.08Cr0.01)Σ2(Si2.71Al0.29)Σ3.00O12, was found in a small xenolith composed of hydrogrossular, tacharanite and calcite, and containing relics of high-temperature minerals such as pseudowollastonite, cuspidine, gehlenite, baghdadite, barringerite, murashkoite, osbornite, paqueite and oldhamite. For the first time, the structure of rubinite, with the composition (Ca2.99Mg0.01)Σ3(Ti3+0.78Al0.62Ti4+0.43Mg0.17)Σ2(Si2.74Al0.26)Σ3O12, has been refined. Its unit-cell parameter a = 12.0193(4) Å, is significantly smaller than that of the synthetic analogue of Ca3Ti2Si3O12, 12.1875 Å. In the rubinite Raman spectrum weak bands corresponding to the vibrations of Ti4+–O in the (TiO6)8– octahedra: 610 cm–1 ν1(TiO6)8– and 438 cm–1 ν4(TiO6)8– are present in addition to the bands related to Si–O and Al–O vibrations in the TO4 tetrahedra. Rubinite forms a thin reactive rim (<10 μm) on pseudowollastonite grains. It probably formed during a sharp increase in rock porosity in the course of natural clinkerisation of sedimentary xenoliths caused by the thermal impact of the paralava. The high porosity increased the effect of reductive gases on the rocks, which were by-products of pyrometamorphism. The brief appearance of super-reduced conditions defined the formation of the Ti3+-bearing minerals osbornite and rubinite. Paqueite, Ca3Ti4+(Ti4+Al2)Si2O14, which crystallised in a thin melting zone of xenolith at the boundary with the paralava, does not contain Ti3+.