The use of particle density in sedimentary provenance studies: the superficial sediment of Po Plain (Italy) case study

Giuseppe, Dario Di; Tessari, Umberto; Faccini, Barbara; Coltorti, Massimo

doi:10.1007/s12303-014-0014-x

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…). These fields were defined using several depositional facies of the Po and Apennine rivers, taken nearby the studied area . The probability that the two populations are really different has also been checked by the T‐Test which gave a significant value (>99.99) based on Cr, Ni, MgO, CaO, LOI, Na 2 O, K 2 O, TiO 2 , Ba, Rb and Sr.…”

Section: Resultsmentioning

confidence: 99%

“…Scatter plots of Cr versus Al 2 O 3 samples concentrations. The coloured areas reflect separation between Apennine (low Cr) and Po river (high Cr) provenance (data from Di Giuseppe et al )…”

Section: Resultsmentioning

confidence: 99%

“…These various X‐ray techniques are widely used for the identification of the sediment provenance and origin, particularly in complex geological and geomorphological environments such as floodplain areas. In floodplains in fact, the sedimentary deposits may derive from the contribution of several rivers, causing serious difficulties in defining the detailed architecture of the stratigraphic succession.…”

Section: Introductionmentioning

confidence: 99%

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Multiple X‐ray approaches to discriminate the origin of liquefied sand erupted during the 2012 Emilia Romagna earthquake

et al. 2015

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Geochemical, mineralogical and sedimentological analyses were carried out on sands erupted from sand volcanoes and soil cracks\ud during the 2012 Emilia earthquakes with the aim of determining their origin and depth of provenance in a complex stratigraphic\ud plain generated by different fluvial contributions. Geochemical, mineralogical and sedimentological analyses were performed by\ud wavelength dispersive X-ray fluorescence, X-ray powder diffraction and Sedigraph and Settling tube, respectively.\ud Distinct textural features, as well as Ni/MgO and Cr/Al2O3 ratios, allow discriminating two populations: an A-area located close\ud to San Carlo village and a B-area nearby Scortichino village. Sediments from A-area show chemical and mineralogical characteristics\ud well comparable with those of the sediments derived from the Apennine rivers, whereas sands from B-area have strong\ud similarities with the sediments from the Po river.\ud In the earthquake crater area most of the liquefaction phenomena were related to superficial sandy deposits (fluvial ridges,\ud paleochannels and crevasse splays) generated by Apennine rivers. The Po river sediments in the B-area derive from a layer at a\ud depth at which liquefaction phenomena were excluded, because of the greater lithostatic load. These sediments thus shed a\ud new light on the mechanisms that may induce liquefaction during an earthquake or even without a seismic triggering.\ud It is suggested that a gas phase (mainly methane), which is commonly found below the Po plain, could have been dissolved in the\ud water, near to the saturation threshold or already exsolved, increasing the interstitial overpressure and facilitating the liquefaction\ud and the eruption of the sandy sediments

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multiple X‐ray approaches to discriminate the origin of liquefied sand erupted during the 2012 Emilia Romagna earthquake

et al. 2015

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“…in both experimental plots (measurement range 0.9-100 m of water). The principal soil parameters (Table 2) were sourced from a previous study [27], while the mineralogical composition of these soils is quartz, K-feldspar, plagioclase, and calcite, associated with small amounts of dolomite; the clay minerals are mainly smectite, chlorite, serpentine, and mixed layers [28]. Bromide (Br − ) was applied at the beginning of the project (30 October 2016) at a concentration of 1000 mg/l.…”

Section: Site Location and Characterizationmentioning

confidence: 99%

Modeling Soil Nitrate Accumulation and Leaching in Conventional and Conservation Agriculture Cropping Systems

Colombani

Mastrocicco

Vincenzi

et al. 2020

Water

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Nitrate is a major groundwater inorganic contaminant that is mainly due to fertilizer leaching. Compost amendment can increase soils’ organic substances and thus promote denitrification in intensively cultivated soils. In this study, two agricultural plots located in the Padana plain (Ferrara, Italy) were monitored and modeled for a period of 2.7 years. One plot was initially amended with 30 t/ha of compost, not tilled, and amended with standard fertilization practices, while the other one was run with standard fertilization and tillage practices. Monitoring was performed continuously via soil water probes (matric potential) and discontinuously via auger core profiles (major nitrogen species) before and after each cropping season. A HYDRUS-1D numerical model was calibrated and validated versus observed matric potential and nitrate, ammonium, and bromide (used as tracers). Model performance was judged satisfactory and the results provided insights on water and nitrogen balances for the two different agricultural practices tested here. While water balance and retention time in the vadose zone were similar in the two plots, nitrate leaching was less pronounced in the plot amended with compost due to a higher denitrification rate. This study provides clear evidence that compost addition and no-tillage (conservation agriculture) can diminish nitrate leaching to groundwater, with respect to standard agricultural practices.

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Relationship between particle density and soil bulk chemical composition

et al. 2015

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Purpose An analytical database containing XRF chemical analyses and real density measurements of unconsolidated sediments of the Padania Plain (Northern Italy) has been used to understand the relationship that exists between the soil particle density (ρs) and their bulk chemical composition.\ud Materials and methods Using a linear regression, we built an equation able to link the particle density with the soil elemental composition. Results and discussion Positive correlations were found between\ud ρs and SiO2, MgO, CaO and Na2O and negative correlationswith K2O, TiO2, Al2O3, Fe2O3 and LOI, reflecting the presence in the soils of quartz and feldspars/mineral clays respectively.\ud Conclusions Our equation is very useful because it helps to know the density properties of a soil when it is not possible to measure ρs with a pycnometer. On the other hand, by knowing the ρs, it is possible to have a quite precise knowledge about the chemistry of the studied soils

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The use of particle density in sedimentary provenance studies: the superficial sediment of Po Plain (Italy) case study

Cited by 8 publications

References 31 publications

Multiple X‐ray approaches to discriminate the origin of liquefied sand erupted during the 2012 Emilia Romagna earthquake

Multiple X‐ray approaches to discriminate the origin of liquefied sand erupted during the 2012 Emilia Romagna earthquake

Modeling Soil Nitrate Accumulation and Leaching in Conventional and Conservation Agriculture Cropping Systems

Relationship between particle density and soil bulk chemical composition

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