Understanding basin-fill evolution and the origin of stratal architectures has traditionally been based on studies of outcrops, well and seismic data, studies of and inferences on qualitative geological processes, and to a lesser extent based on quantitative observations of modern and ancient sedimentary environments. Insight gained on the basis of these studies can increasingly be tested and extended through the application of numerical and analogue forward models.
Present-day stratigraphic forward modelling follows two principle lines: 1) the deterministic process-based approach, ideally with resolution of the fundamental equations of fluid and sediment motion at all scales, and 2) the stochastic approach. The process-based approach leads to improved understanding of the dynamics (physics) of the system, increasing our predictive power of how systems evolve under various forcing conditions unless the system is highly non-linear and hence difficult or perhaps even impossible to predict. The stochastic approach is more direct, relatively simple, and useful for study of more complicated or less-well understood systems. Process-based models, more than stochastic ones, are directly limited by the diversity of temporal and spatial scales and the very incomplete knowledge of how processes operate and interact on the various scales.
The papers included in this book demonstrate how cross-fertilization between traditional field studies and analogue and numerical forward modelling expands our understanding of Earth-surface systems.
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Poppe de Boer and George Postma are the authors of Analogue and Numerical Modelling of Sedimentary Systems: From Understanding to Prediction, published by Wiley.
Understanding basin-fill evolution and the origin of stratal architectures has traditionally been based on studies of outcrops, well and seismic data, studies of and inferences on qualitative geological processes, and to a lesser extent based on quantitative observations of modern and ancient sedimentary environments. Insight gained on the basis of these studies can increasingly be tested and extended through the application of numerical and analogue forward models.
Present-day stratigraphic forward modelling follows two principle lines: 1) the deterministic process-based approach, ideally with resolution of the fundamental equations of fluid and sediment motion at all scales, and 2) the stochastic approach. The process-based approach leads to improved understanding of the dynamics (physics) of the system, increasing our predictive power of how systems evolve under various forcing conditions unless the system is highly non-linear and hence difficult or perhaps even impossible to predict. The stochastic approach is more direct, relatively simple, and useful for study of more complicated or less-well understood systems. Process-based models, more than stochastic ones, are directly limited by the diversity of temporal and spatial scales and the very incomplete knowledge of how processes operate and interact on the various scales.
The papers included in this book demonstrate how cross-fertilization between traditional field studies and analogue and numerical forward modelling expands our understanding of Earth-surface systems.
Understanding basin-fill evolution and the origin of stratal architectures has traditionally been based on studies of outcrops, well and seismic data, studies of and inferences on qualitative geological processes, and to a lesser extent based on quantitative observations of modern and ancient sedimentary environments. Insight gained on the basis of these studies can increasingly be tested and extended through the application of numerical and analogue forward models.
Present-day stratigraphic forward modelling follows two principle lines: 1) the deterministic process-based approach, ideally with resolution of the fundamental equations of fluid and sediment motion at all scales, and 2) the stochastic approach. The process-based approach leads to improved understanding of the dynamics (physics) of the system, increasing our predictive power of how systems evolve under various forcing conditions unless the system is highly non-linear and hence difficult or perhaps even impossible to predict. The stochastic approach is more direct, relatively simple, and useful for study of more complicated or less-well understood systems. Process-based models, more than stochastic ones, are directly limited by the diversity of temporal and spatial scales and the very incomplete knowledge of how processes operate and interact on the various scales.
The papers included in this book demonstrate how cross-fertilization between traditional field studies and analogue and numerical forward modelling expands our understanding of Earth-surface systems.
AXEL EMMERICH, ROBERT TSCHERNY, THILO BECHSTDT, CARSTEN BKER, ULLRICH A. GLASMACHER, RALF LITTKE and RAINER ZHLKE
ABSTRACT
A combination of thermal history, numerical basin-reverse and sequence-stratigraphic forward modelling is applied to the Mesozoic outcrop analogue of the Rosengarten carbonate platform area in the Dolomites of northern Italy. This integrated multidisciplinary approach of numerical simulation quantifies the thermal, subsidence, geometrical and subsequent facies evolution of the area. Calibration data during modelling were vitrinite reflectance (VR) and apatite fission-track (FT) analyses as well as detailed outcrop studies. Vitrinite reflectance values in strata underlying the carbonate platform vary between 0.5 and 0.8% [VR.sub.r]; apatites from these formations reveal cooling ages of around 165.6 Ma and track lengths of approximately 9.8 m. This low thermal maturity combined with the FT data in apatites indicates a relatively cool (<11C), protracted (between 250 and 30 Ma) and shallow burial (thickness of eroded strata overlying present-day topography is <1100 m), as well as a fast exhumation from the Middle Miocene onward. Maximum temperatures are reached during the Middle/Late Triassic, when the basal heat flow was elevated owing to regional volcanic and hydrothermal activity. Local anomalies in vitrinite reflectance of up to 1.1% [VR.sub.r] in the immediate surroundings of the Predazzo/Monzoni volcanic centre show that its thermal influence decreased rapidly with increasing distance. The geometrical evolution of the Middle Triassic (Anisian/Ladinian) Rosengarten platform is twofold: the first stage reveals aggradation, the second progradation of the platform margin. Basin-reverse modelling results indicate that these two intervals originate from a temporal change in tectonic subsidence. Spatial variations in flexural and tectonic subsidence along the 6 km transect are insignificant due to the rigidity of the basement (up to 2500 m of Late Permian ignimbrites). During the first stage of platform evolution, high pulse-like total subsidence rates of up to 820 m [Myr.sup.-1] led to aggradation, whereas the subsequent drop to 100 m [Myr.sup.-1] initiated platform progradation. The short-spanned subsidence peak was linked to block movements in a strike-slip tectonic setting (Cima Bocche Anticline-Stava Line approximately 10 km southeast of the study area). Stratigraphic forward modelling quantifies the sediment volumes involved in the geometrical evolution of the platform. In order to replicate platform architecture, constant carbonate accumulation rates between 900 and 1000 m [Myr.sup.-1] - increasing from periplatform environments to the slope - have to be assumed throughout the existence (approximately 5.8 Myr) of the Rosengarten. As the carbonate factory successfully keeps up with the modelled accommodation rates, it must have completely recovered from the Permian-Triassic biotic crisis during the onset of platform growth in latest Anisian times despite the low biotic diversity of the platform succession seen elsewhere in the Dolomites. Our forward modelling confirms that the main carbonate factory was situated on the slope at water depths from shallow subtidal to 300 m ('slope-shedding') and that it therefore switched on during all possible stages of accommodation change.
Keywords Basin analysis, numerical simulation, subsidence, thermal maturity, thermochronology, carbonate platform, aggradation, progradation, sedimentation rates, Triassic, Southern Alps, Dolomites.
INTRODUCTION
The Dolomites of northern Italy (Fig. 1) have long been a study area for carbonate platforms and their reef communities. Since Mojsisovics termed the word 'berguss-Schichtung' back in 1879 (i.e., clinostratification), many authors have worked on platform-to-basin transitions of carbonate build-ups in the Dolomites (Hummel, 1928, 1932; Pia, 1937; Leonardi, 1962, 1967; Bosellini, 1984, 1988). In particular, the Rosengarten has served as a reference model for progradational geometries (Bosellini & Stefani, 1991; Bosellini et al., 1996). However, assessing the evolution of carbonate platforms and their clinoforms has been mainly of a qualitative nature. Quantitative approaches of subsidence and carbonate accumulation of Middle Triassic platforms in the Dolomites have so far been scarce (Schlager, 1981; Doglioni & Goldhammer, 1988; Schlager et al., 1991; Maurer, 1999, 2000; Keim & Schlager, 2001) and lack unbiased numerical modelling techniques. The age of these platforms is usually constrained by coeval basinal sediments containing abundant biostratigraphic information (Buchenstein Fm; Brack & Rieber, 1993, 1994). Recently, age-diagnostic airborne tuff layers in basinal and lagoonal strata were used to synchronize bio-, cyclo- and chronostratigraphy (basinal Buchenstein Fm at Seceda/Geisler Group, western Dolomites: Mundil et al., 1996; lagoonal Schlern Dolomite Fm 1 at Latemar, western Dolomites: Mundil et al., 2003; for locations see Fig. 2) providing a high-resolution database for numerical simulation. The particular feature of the Rosengarten platform is that some of these dated tuff layers can be physically correlated to coeval slope deposits (Maurer, 1999, 2000).
The aim of this paper is the quantification of the development of the Rosengarten platform and the assessment of its primary controlling factors during platform growth. This is realized by an integrated approach of basin-reverse and stratigraphic-forward modelling combined with thermal basin modelling. Datasets for all modelling procedures are derived from existing studies and from new detailed analyses on allo-/sequence stratigraphy and facies architecture, thermal maturity and apatite fission tracks in strata underlying the platform body.
BASIN AND CARBONATE-PLATFORM DEVELOPMENT
The southwestern Dolomites (for location within the Alps, Fig. 1) are located on the Adriatic Plate between former Laurussia and Gondwana (Dercourt et al., 2000). Throughout the Triassic, this area represents the eastern margin of a highly differentiated passive continental margin with mixed siliciclastic-carbonate sedimentation (Blendinger, 1985; Doglioni, 1987). First, carbonate ramps (early Anisian/Aegean) and small reef mounds (early in the late Anisian/Pelsonian) developed in the Dolomites (Fois & Gaetani, 1984; Senowbari-Daryan et al., 1993) after the carbonate factory had eventually recovered from the severe faunal crisis at the close of the Permian. From the late Anisian into the late Ladinian, a considerable submarine relief with local subaerial highs prevailed in the western Dolomites. Middle Anisian transpressive-transtensive tectonics dismembered the continental shelf and created strong regional differences in facies (the so-called 'Facies Heteropie' sensu Bechstdt & Brandner, 1970; see also Zhlke, 2000). Deep marine, stagnant basins with fine-grained chert- and organic-matter-rich sediments (Anisian: Moena Fm and Anisian/Ladinian: Buchenstein Fm; Figs 2 and 3) existed alongside shallow marine subtidal carbonate ramps and platforms (Anisian: Contrin Fm and Anisian/Ladinian: Schlern...
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