Compositional data analysis of sedimentological, mineralogical and geochemical data for the evaluation of Austrian loess and loess loam deposits

2020 ◽  
Author(s):  
Heinz Reitner ◽  
Christian Benold ◽  
Peter Filzmoser ◽  
Maria Heinrich ◽  
Gerhard Hobiger ◽  
...  
Keyword(s):  
Information System ◽  
Statistical Analysis ◽  
Raw Materials ◽  
Analysis Data ◽  
Grain Size Analysis ◽  
Geochemical Data ◽  
Size Analysis ◽  
Compositional Data Analysis ◽  
Rock Composition ◽  
Log Ratio

<p>Austrian loess and loess loam deposits represent an important source of raw materials for the heavy clay industry for centuries. Building material quality of loess and loess loam deposits and their suitability for different applications is significantly influenced by their heterogeneous properties. These depend on the geology of the source area, climatic conditions, geomorphological location, stratigraphic position, intensity of weathering and redeposition potential. The description of occurrences, properties and availability of these raw materials is therefore an important prerequisite to meet the industrial quality requirements. A large number of different sub-datasets exist at the Geological Survey of Austria, which comprise grain-size analysis, bulk rock composition, clay mineralogy, and geochemistry data of loess and loess loam. Within our project, these individual data sets underwent a thorough examination and have been merged into a coherent database to enable the joint regional and statistical analysis of the data. By applying a log-ratio approach the compositional nature of the analysis data has been taken into account for multivariate statistical methods. <br>Within our study we focused on the classic Austrian loess regions in the Northern Alpine foreland areas of Upper and Lower Austria and in the Vienna Basin. By transferring the results of the statistical analysis to a Geographic Information System (GIS) these served as the fundamental basis for our categorization of the loess and loess loam occurrences. Taking into account previously published approaches based on soil profile classifications as well as trends and patterns derived from the analysis data, we finally were able to delineate different districts of brick raw materials deposits. These will be made publically accessible to the industry and interested parties as part of the web application of the Austrian Interactive Raw Material Information System IRIS-Online.</p>

scholarly journals Assessment of Clay Deposits Quality from East of Erbil, Kurdistan Region, Iraq for some Ceramic Industries

2021 ◽  
Vol 54 (2F) ◽  
pp. 145-161
Author(s):  
Aveen Ali Surdashy ◽  
Ahmed Mohammed Aqrawi
Keyword(s):  
Physical Properties ◽  
Raw Materials ◽  
Grain Size Analysis ◽  
Size Analysis ◽  
X Ray Diffraction ◽  
Clay Deposits ◽  
Geochemical Study ◽  
Ceramic Manufacturing ◽  
Calcium Iron

For the assessment of clay deposits for brick manufacturing, seven clay samples from different locations were collected by channel sampling method from Injana, Mukdadiyah, Bai Hassan formations and Quaternary deposits in Bestana village, the study area is located east of Erbil city (NE Iraq). For ceramic manufacturing, the quality of clay should be measured according to some physical properties. The mineralogical and geochemical study revealed by using X-ray diffraction and chemical characteristics, which represented that all clay samples containing; kaolinite, smectite, illite, and chlorite with some mixed clay and non-clay mineral quartz, calcite, dolomite, and feldspar. The physical properties of clay samples including grain size analysis and Atterberg limits showed that the raw materials contain clay in high proportion, silt in medium proportion, and sand in minor proportion. Plasticity index of the studied samples showed that they are moderately plastic to plastic range. The geochemical analysis of the studied samples showed that the clay raw materials are composed mainly of silica and alumina, which act as refractory material in the ceramic industry. In addition to that, there are different proportions of calcium, iron oxides, magnesium, potassium, and sodium, which are flux oxides.

scholarly journals Statistical Analysis of Chemical Element Compositions in Food Science: Problems and Possibilities

Molecules ◽  
2021 ◽  
Vol 26 (19) ◽  
pp. 5752
Author(s):  
Matthias Templ ◽  
Barbara Templ
Keyword(s):  
Statistical Analysis ◽  
Missing Values ◽  
Compositional Data ◽  
Chemical Elements ◽  
Chemical Components ◽  
Compositional Data Analysis ◽  
Research Fields ◽  
Log Ratio ◽  
Processing Steps

In recent years, many analyses have been carried out to investigate the chemical components of food data. However, studies rarely consider the compositional pitfalls of such analyses. This is problematic as it may lead to arbitrary results when non-compositional statistical analysis is applied to compositional datasets. In this study, compositional data analysis (CoDa), which is widely used in other research fields, is compared with classical statistical analysis to demonstrate how the results vary depending on the approach and to show the best possible statistical analysis. For example, honey and saffron are highly susceptible to adulteration and imitation, so the determination of their chemical elements requires the best possible statistical analysis. Our study demonstrated how principle component analysis (PCA) and classification results are influenced by the pre-processing steps conducted on the raw data, and the replacement strategies for missing values and non-detects. Furthermore, it demonstrated the differences in results when compositional and non-compositional methods were applied. Our results suggested that the outcome of the log-ratio analysis provided better separation between the pure and adulterated data and allowed for easier interpretability of the results and a higher accuracy of classification. Similarly, it showed that classification with artificial neural networks (ANNs) works poorly if the CoDa pre-processing steps are left out. From these results, we advise the application of CoDa methods for analyses of the chemical elements of food and for the characterization and authentication of food products.

scholarly journals Supplemental Material: Nonclimatic and extrabasinal processes controlled pedogenesis in paleosols of the Paleocene Nacimiento Formation, New Mexico, USA

2021 ◽  
Author(s):  
Kevin M. Hobbs
Keyword(s):  
New Mexico ◽  
Statistical Analysis ◽  
Analysis Data ◽  
Geochemical Data ◽  
Geochemical Analysis ◽  
X Ray ◽  
Data Tables

Geochemical data tables, X-Ray diffractograms from paleosol B horizon materials, and results of statistical analysis of pedotype and geochemical analysis data.

Paleoenvironment of Kuan Kreng peat swamp, Southern Thailand

2020 ◽  
Author(s):  
Kannika Wangritthikraikul ◽  
Smith Leknettip ◽  
Sakonvan Chawchai
Keyword(s):  
Forest Fires ◽  
Agricultural Land ◽  
Plant Macrofossils ◽  
Grain Size Analysis ◽  
Geochemical Data ◽  
Size Analysis ◽  
Carbonate Content ◽  
Fire Control ◽  
Peat Swamp ◽  
Southern Thailand

<p>Peatlands have played an important role in the global carbon cycle. Tropical peatlands are one of the largest reserves of terrestrial organic carbon. Present-day tropical peat swamp forests are, however, under the threat of anthropogenic disturbance or have already been widely degraded. In Southeast Asia, very large areas of peatland have been deforested, drained, converted to extensive and intensive agricultural land uses and exposed to regular wildfires. Khuan Kreng peat swamp is the second largest protected wetland in Thailand. Recent studies in Khuan Kreng peat swamp has focused on present day drought and forest fires, but there is still lack of paleoenvironmental data. In this study, sediment and peat sequences were collected from Forest Fire Control Station area in Khuan Kreng peat swamp, and geochemical data (loss on ignition, grain size analysis and carbonate content) were analyzed. The age of early Holocene were determined based on plant macrofossils using Radiocarbon Dating (<sup>14</sup>C). The preliminary results indicate that this area was Tidal flats. The study of sediment/peat sequences using geochemical data can improve our understanding how past environmental have affected Khuan Kreng peat swamp ecosystems.</p>

Tephra analysis of sediments from Midge Lake (South Shetland Islands) and Sombre Lake (South Orkney Islands), Antarctica

1998 ◽  
Vol 10 (1) ◽  
pp. 13-20 ◽  
Author(s):  
Dominic A. Hodgson ◽  
Coral L. Dyson ◽  
Vivienne J. Jones ◽  
John L. Smellie
Keyword(s):  
Sediment Cores ◽  
South Shetland Islands ◽  
Grain Size Analysis ◽  
Geochemical Data ◽  
Size Analysis ◽  
Shetland Islands ◽  
Orkney Islands ◽  
Signy Island ◽  
South Orkney Islands ◽  
Synchronous Time

Lake sediment cores from Midge Lake, Livingston Island, South Shetland Islands and Sombre Lake, Signy Island, South Orkney Islands were analysed for volcanic tephra using light microscopy and magnetic susceptibility. Cores were dated using published 14C and 210Pb chronologies. Electron probe microanalyses of discrete tephra glass shards were undertaken to characterise the tephra geochemically in order to identify possible source volcanoes and refine tephrochronological data for the region. Results identified five tephra horizons in a core from Midge Lake. Four of these tephra at 3–4 cm, 8–9 cm (c. 450 yr BP), 15–16 cm (c. 755 ± 105 yr BP) and 21–22 cm (c. 1340 ± 100 yr BP) consisted of sodic basaltic to basalticandesitic glasses, containing abundant labradoritic feldspar inclusions, and a single ‘acidic’ tephra was found at 2–3 cm. Seven tephra horizons were identified in the Sombre Lake core including three basaltic tephra at 3–9 cm (30 ± 4 yr BP to 125 ± 25 yr BP), 31–32 cm and 44–46 cm (1325 ± 50 14C yr BP) and four acidic tephra at 21–22 cm and 24–25 cm, 33–36 cm (c. 1021 14C yr BP) and 54–56 cm (c. 1450 14C yr BP). These are the first tephra to be identified from the South Orkney Islands. Geochemical and grain size analysis indicated that the analysed Midge Lake tephra were derived from the Quaternary Deception Island volcano. Smaller grain sizes, congruent geochemical data and prevailing wind directions also indicate this volcano as the likely source of Sombre Lake tephra. Results highlight the importance of establishing geochemical consistency between tephra deposited across wide geographical areas, during apparently synchronous time periods, if they are to be used in a regional tephrochronology.

scholarly journals Composition, Digestibility, and Microbiological Quality of the Animal-Origin Meal

2020 ◽  
Vol 8 (1) ◽  
pp. 424
Author(s):  
Julia Marixara Sousa da Silva ◽  
Christiane Silva Souza ◽  
Alison Batista Vieira Silva Gouveia ◽  
Weslane Justina da Silva ◽  
Lorrayne Moraes de Paulo ◽  
...  
Keyword(s):  
Amino Acids ◽  
Raw Materials ◽  
Microbiological Quality ◽  
Metabolizable Energy ◽  
Production Costs ◽  
Grain Size Analysis ◽  
Animal Origin ◽  
Size Analysis ◽  
Salmonella Spp

There is currently a growing interest of animal nutritionists and farmers in the use of by-products and/or agro-industrial residues in feeds. The purpose is to reduce production costs, since feed represents nearly 70% of the cost of production, as well as to allocate waste properly, minimizing potential environmental impacts. The characteristics of the residues used and their physical and/ or chemical limitations should be known, providing nutritionist with the correct information for the best choice and use of these ingredients for animal nutrition. This study aims to characterize the centesimal and energetic composition, digestibility, and microbiological quality of animal-origin meals in non-ruminant feeds. Samples of animal-origin meals – AOM (n=210), hydrolyzed feather meals (n=70), chicken offal meal (n=70), and pig offal meal (n=70) were evaluated. The following variables were determined: moisture, crude protein, amino acids, ethereal extract, ash content, FAO grain size analysis, and protein digestibility. Peroxide and acidity levels were determined to evaluate the oxidative process. The microbiological quality of AOM evaluated by the presence/absence of Salmonella spp.; the apparent metabolizable energy was verified by the indirect method using prediction equations. The amounts of proteins, minerals, amino acids, and energy differed from those reported in the literature. These results were possibly due to the different operational processes performed in each one of the experiments, as well as the proportions of constituents in the compared raw materials compared. Moreover, we observed that the AOM is within the Brazilian hygienic-sanitary standards.

scholarly journals Laser-Induced Breakdown Spectroscopy—An Emerging Analytical Tool for Mineral Exploration

Minerals ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 718 ◽  
Author(s):  
Russell Harmon ◽  
Christopher Lawley ◽  
Jordan Watts ◽  
Cassady Harraden ◽  
Andrew Somers ◽  
...  
Keyword(s):  
Mineral Exploration ◽  
Grain Size Analysis ◽  
Geochemical Data ◽  
Laser Induced Breakdown Spectroscopy ◽  
Size Analysis ◽  
Green Technologies ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Rock Characterization

The mineral exploration industry requires new methods and tools to address the challenges of declining mineral reserves and increasing discovery costs. Laser-induced breakdown spectroscopy (LIBS) represents an emerging geochemical tool for mineral exploration that can provide rapid, in situ, compositional analysis and high-resolution imaging in both laboratory and field and settings. We demonstrate through a review of previously published research and our new results how LIBS can be applied to qualitative element detection for geochemical fingerprinting, sample classification, and discrimination, as well as quantitative geochemical analysis, rock characterization by grain size analysis, and in situ geochemical imaging. LIBS can detect elements with low atomic number (i.e., light elements), some of which are important pathfinder elements for mineral exploration and/or are classified as critical commodities for emerging green technologies. LIBS data can be acquired in situ, facilitating the interpretation of geochemical data in a mineralogical context, which is important for unraveling the complex geological history of most ore systems. LIBS technology is available as a handheld analyzer, thus providing a field capability to acquire low-cost geochemical analyses in real time. As a consequence, LIBS has wide potential to be utilized in mineral exploration, prospect evaluation, and deposit exploitation quality control. LIBS is ideally suited for field exploration programs that would benefit from rapid chemical analysis under ambient environmental conditions.

scholarly journals GEOCHEMICAL AND MINERALOGICAL ANALYSIS OF SEDIMENTS FROM THE GULF OF ELEFSINA -STUDY OF THE ANTHROPOGENIC IMPACT

2018 ◽  
Vol 36 (1) ◽  
pp. 164 ◽  
Author(s):  
Γ. Κανελλοπούλου ◽  
Β. Περδικάτσης ◽  
Α. Φώσκολος
Keyword(s):  
Organic Matter ◽  
Sandy Loam ◽  
Grain Size Analysis ◽  
Geochemical Data ◽  
Size Analysis ◽  
Winter Period ◽  
Anoxic Conditions ◽  
Average Value ◽  
Black Layer ◽  
The Impact

Mineralogical and geochemical data on sediment of three sampling locations in the gulf of Elefsina, have been studied in order to access the impact of inorganic pollutants. The gulf is relatively shallow in depth and is connected to Saronicos bay with two shallow channels. This bottom physiography, worses the depositional environment since it receives pollutants of both the city and the industry without having wide towards the open sea. Grain size analysis of the surface sediments indicates that they are classified as sandy loam. However the main characteristic is the widespread appearance of a silty black layer, rich in organic matter. The thickness of the layer is 12 cm and is related to the oxic-anoxic conditions of the surface of the sediments. During the summer period the anoxic conditions promote an increase of the concentration of the organic matter in the bottom sediments which results in the widespread black coloring. The existence of a black layer in the first 10 to 12 cm of the cored sample is attributed to human activity. During the winter period, in which sampling took place, the increase in soluble O2 was responsible for the appearance of a thin brownish color top of the black layer. The thickness of this coloration is 0.5 mm. The pH of the sediments fluctuated between 7.4 and 8.5. The lower pH values are obtained in the top of the sediments while the higher ones in the bottom of the sediments. Data from the cation exchange capacity measurements have asserted the predominant of clays in the west side of the gulf. The distribution of total organic values yields higher values in the eastern side of the gulf (average value 4%) from the western side (average value 2.5%). Mineralogical composition of the sediments yielded the following minerals; quartz, calcite, dolomite, chlorite, illite, albite and alunite. A characteristic fluctuation of the soluble metals Pb, Ni, Zn, Cu, Μη, Cr, Hg and Cd, was observed, which characterize the environmental condition and pollution of the gulf of Elefsina

scholarly journals A new approach to assess the degree of contamination and determine sources and risks related to PTEs in an urban environment: the case study of Santiago (Chile)

2022 ◽  
Author(s):  
Antonio Aruta ◽  
Stefano Albanese ◽  
Linda Daniele ◽  
Claudia Cannatelli ◽  
Jamie T. Buscher ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Spatial Variation ◽  
Probabilistic Approach ◽  
Urban Traffic ◽  
Capital City ◽  
Geochemical Data ◽  
Compositional Data Analysis ◽  
Contamination Sources ◽  
Binary Partition ◽  
Log Ratio

AbstractIn 2017, a geochemical survey was carried out across the Commune of Santiago, a local administrative unit located at the center of the namesake capital city of Chile, and the concentration of a number of major and trace elements (53 in total) was determined on 121 topsoil samples. Multifractal IDW (MIDW) interpolation method was applied to raw data to generate geochemical baseline maps of 15 potential toxic elements (PTEs); the concentration–area (C-A) plot was applied to MIDW grids to highlight the fractal distribution of geochemical data. Data of PTEs were elaborated to statistically determine local geochemical baselines and to assess the spatial variation of the degree of soil contamination by means of a new method taking into account both the severity of contamination and its complexity. Afterwards, to discriminate the sources of PTEs in soils, a robust Principal Component Analysis (PCA) was applied to data expressed in isometric log-ratio (ilr) coordinates. Based on PCA results, a Sequential Binary Partition (SBP) was also defined and balances were determined to generate contrasts among those elements considered as proxies of specific contamination sources (Urban traffic, productive settlements, etc.). A risk assessment was finally completed to potentially relate contamination sources to their potential effect on public health in the long term. A probabilistic approach, based on Monte Carlo method, was deemed more appropriate to include uncertainty due to spatial variation of geochemical data across the study area. Results showed how the integrated use of multivariate statistics and compositional data analysis gave the authors the chance to both discriminate between main contamination processes characterizing the soil of Santiago and to observe the existence of secondary phenomena that are normally difficult to constrain. Furthermore, it was demonstrated how a probabilistic approach in risk assessment could offer a more reliable view of the complexity of the process considering uncertainty as an integral part of the results.

scholarly journals Supplemental Material: Nonclimatic and extrabasinal processes controlled pedogenesis in paleosols of the Paleocene Nacimiento Formation, New Mexico, USA

2021 ◽  
Author(s):  
Kevin M. Hobbs
Keyword(s):  
New Mexico ◽  
Statistical Analysis ◽  
Analysis Data ◽  
Geochemical Data ◽  
Geochemical Analysis ◽  
X Ray ◽  
Data Tables

Geochemical data tables, X-Ray diffractograms from paleosol B horizon materials, and results of statistical analysis of pedotype and geochemical analysis data.

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