Surface and subsurface data integration and geological modelling from the Little Ice Age to the present, in the Ravenna coastal plain, northwest Adriatic Sea (Emilia-Romagna, Italy)

Scarelli, Frederico M.; Barboza, Eduardo Guimarães; Cantelli, Luigi; Gabbianelli, Giovanni

doi:10.1016/j.catena.2016.12.005

Cited by 11 publications

(3 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The latest Quaternary deposits (<30ky) of the southern Po Plain represent a few tens of meters thick succession of siliciclastic sediments. Extensive subsurface investigations conducted during the past few decades have led to a detailed reconstruction of the region's stratigraphic architecture (e.g., Amorosi et al, 1999;Scarponi and Kowalewski, 2004;Correggiari et al, 2005;Stefani and Vincenzi, 2005;Storms et al, 2008;Amorosi et al, 2016;Bruno et al, 2016;Calabrese et al, 2016;Scarelli et al, 2017). The lowermost part of this succession consists of alluvial facies deposited during the Last Glacial Maximum (30 18ky BP) and initial eustatic rise (18 14ky BP) phases, when sea level was approxi mately 120 to 90 m lower than today.…”

Section: Sequence-stratigraphic Framework Of the Latest Quaternary Po Plain Successionmentioning

confidence: 99%

Systematic vertical and lateral changes in quality and time resolution of the macrofossil record: Insights from Holocene transgressive deposits, Po coastal plain, Italy

Scarponi

Azzarone

Kusnerik

et al. 2017

Marine and Petroleum Geology

View full text Add to dashboard Cite

show abstract

Section: Sequence-stratigraphic Framework Of the Latest Quaternary Po Plain Successionmentioning

confidence: 99%

Systematic vertical and lateral changes in quality and time resolution of the macrofossil record: Insights from Holocene transgressive deposits, Po coastal plain, Italy

Scarponi

Azzarone

Kusnerik

et al. 2017

Marine and Petroleum Geology

View full text Add to dashboard Cite

show abstract

“…Modern climate change studies observed in instrumental records provide evidence of climate variations during the Holocene (Novello et al, 2012; Scarelli et al, 2017; Vuille et al, 2012). For instance, significant changes in frequency and magnitude of the ENSO (El Niño-Southern Oscillation) event in the tropics occurred during the Holocene (Cobb et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Late-Holocene subtropical mangrove dynamics in response to climate change during the last millennium

et al. 2018

View full text Add to dashboard Cite

This work aims to study the impacts of climate change in the subtropical mangroves during the late-Holocene on a southern Brazilian coastal plain and discuss the environmental conditions to the mangrove establishment near the austral limit of South America mangroves. Samples were collected to study palynological groups, sedimentary facies, and geochemistry analyses (δ13C, δ15N, TOC, TN, C:N ratio, TS, and C:S ratio), synchronized with four radiocarbon ages. The main result of this research was the mangrove succession, divided into three palynological zones composing two facies association: (1) herbaceous tidal flat and (2) mangrove tidal flat. The first zone between at least ~1815 and ~1629 cal. yr BP was marked by the mangrove absence with marine particulate organic carbon, C3 terrestrial plants, and macrophytes organic matter influence with δ13C values between −26.7‰ and −20‰, δ15N values x̅ = 3.5‰ and C:N around 21.8. The second zone between ~1629 and ~853 cal. yr BP was marked by the mangrove establishment represented only by Laguncularia pollen under influence of estuarine organic matter (δ13C x̅ = −26.5‰; δ15N x̅ = 3.2‰, and C:N around 16.4). The third zone reveals an increase of Laguncularia and presence of Avicennia pollen since ~853 cal. yr BP. Near the surface (<10 cm) occurs Rhizophora pollen, indicating the establishment of this genus during the past decades, under the modern environmental condition (δ13C x̅ = −27.02‰; δ15N x̅ = 3.12‰, and C:N around 17.42). This mangrove vertical succession may be associated with the low-temperature tolerance, where the sequence Rhizophora, Avicennia, and Laguncularia occurs from the northern to the southern limits of Santa Catarina coast, respectively, reflecting the temperature gradient. Therefore, probably, the establishment of the mangrove assemblage identified along the studied pollen profile was influenced by a temperature increase of air and water during the late-Holocene and, considering the Rhizophora genus, only during the past decades.

show abstract

“…Moreover, vector data are used to make hydrogeological maps of Europe, and to evaluate geological surface processes across the continent [7]. Vector data can also be used to simulate the surface geological model of coastal zones [8], as well as to calculate discharge density, frequency, bifurcation rate, and other parameters in river basins [9]. Furthermore, island paleogeography can be reconstructed by building archipelagic databases in vector data format [10].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Study of Geochemical Data Storage Performance Based on Different Management Methods

et al. 2021

View full text Add to dashboard Cite

The spatial calculation of vector data is crucial for geochemical analysis in geological big data. However, large volumes of geochemical data make for inefficient management. Therefore, this study proposed a shapefile storage method based on MongoDB in GeoJSON form (SSMG) and a shapefile storage method based on PostgreSQL with open location code (OLC) geocoding (SSPOG) to solve the problem of low efficiency of electronic form management. The SSMG method consists of a JSONification tier and a cloud storage tier, while the SSPOG method consists of a geocoding tier, an extension tier, and a storage tier. Using MongoDB and PostgreSQL as databases, this study achieved two different types of high-throughput and high-efficiency methods for geochemical data storage and retrieval. Xinjiang, the largest province in China, was selected as the study area in which to test the proposed methods. Using geochemical data from shapefile as a data source, several experiments were performed to improve geochemical data storage efficiency and achieve efficient retrieval. The SSMG and SSPOG methods can be applied to improve geochemical data storage using different architectures, so as to achieve management of geochemical data organization in an efficient way, through time consumed and data compression ratio (DCR), in order to better support geological big data. The purpose of this study was to find ways to build a storage method that can improve the speed of geochemical data insertion and retrieval by using excellent big data technology to help us efficiently solve problem of geochemical data preprocessing and provide support for geochemical analysis.

show abstract

Surface and subsurface data integration and geological modelling from the Little Ice Age to the present, in the Ravenna coastal plain, northwest Adriatic Sea (Emilia-Romagna, Italy)

Cited by 11 publications

References 65 publications

Systematic vertical and lateral changes in quality and time resolution of the macrofossil record: Insights from Holocene transgressive deposits, Po coastal plain, Italy

Systematic vertical and lateral changes in quality and time resolution of the macrofossil record: Insights from Holocene transgressive deposits, Po coastal plain, Italy

Late-Holocene subtropical mangrove dynamics in response to climate change during the last millennium

A Comprehensive Study of Geochemical Data Storage Performance Based on Different Management Methods

Contact Info

Product

Resources

About