2011
DOI: 10.1002/gea.20361
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The caranto paleosol and its role in the early urbanization of Venice

Abstract: As rising sea level threatens Venice, there is a need to construct a historical framework for interpreting modern environmental changes. Environmental conditions that would later help support Venice's urbanization were established during the Late Glacial period when calcic soils began to develop in the Venetian alluvial paleoplain. A calcic paleosol, buried by Middle to Late Holocene marine transgressive deposits, represents a subsurface layer long known in the Venice area as "caranto." Referenced in the ancie… Show more

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Cited by 37 publications
(21 citation statements)
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“…The Late Pleistocene sedimentary deposits consist of an aggrading floodplain facies with fluvial channels fills accumulated during the decrease of the sea level, and are composed by silts, sands, and clays, frequently pedogenesized (Tosi et al, 2007a;Donnici et al, 2011;Zecchin et al, 2011). The boundary with the overlying Holocene units is often characterized by the presence of a paleo-soil, locally named Caranto, developed in prolonged subaerial exposure and sedimentation starving conditions.…”
Section: Hydrogeological Setting Of the Study Areamentioning
confidence: 98%
“…The Late Pleistocene sedimentary deposits consist of an aggrading floodplain facies with fluvial channels fills accumulated during the decrease of the sea level, and are composed by silts, sands, and clays, frequently pedogenesized (Tosi et al, 2007a;Donnici et al, 2011;Zecchin et al, 2011). The boundary with the overlying Holocene units is often characterized by the presence of a paleo-soil, locally named Caranto, developed in prolonged subaerial exposure and sedimentation starving conditions.…”
Section: Hydrogeological Setting Of the Study Areamentioning
confidence: 98%
“…Especially on cross-sections, it is apparent that SIS tends to render less fuzzy and noisy facies clusters compared to TGS (cfr. Figure 6c,e), which at densely investigated sites (e.g., the Petrolchimico) results in faithful reproduction (compare Figure 3b with sections on left-hand side of Figure 6e) of interpreted lithofacies distributions [26]. Cleaning SIS realizations from noise with the same settings used for TGS results in crispier facies cluster's boundaries (Figure 6f) with very little impact on facies proportions (Figure 7).…”
Section: Sequential Indicator Simulationmentioning
confidence: 99%
“…However, it was possible to rank the tested algorithms based on how closely they honored input data and predicted facies at validation boreholes [11], as well as they replicated the current hydrostratigraphic model of the study area [26]. Even though resulting in geologically realistic facies distributions, the Object-Based Simulation (OBS) of this study failed to achieve full conditioning to boreholes, as well as to reproduce global and layer-by-layer facies proportions.…”
Section: Which Modelling Algorithm Does Better With Lithology From Dementioning
confidence: 99%
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