Interpretation of Chemical Analyses and Cement Modules in Flysch by (Geo)Statistical Methods, Example from the Southern Croatia
This study included the testing of normal (Gaussian) distribution of input data and, consequently, spatially interpolating maps of chemical components and cement modules in the flysch. This deposit contains the raw material for cement production. The researched area is located in southern Croatia, n...
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description | This study included the testing of normal (Gaussian) distribution of input data and, consequently, spatially interpolating maps of chemical components and cement modules in the flysch. This deposit contains the raw material for cement production. The researched area is located in southern Croatia, near Split, as part of the exploited field “St. Juraj–St. Kajo”. There are six lithological units: (1) alternation of marls and sandstones with inclusions of conglomerates, (2) marl, (3) calcsiltite, (4) calcarenite, (5) marl with nummulites, (6) debrites, and (7) clayey marl. All of them are deposited in the (a) northern and (b) southern beds. Only debrites are divided into the (a) western and (b) eastern layers. Those lithological units were divided technologically based on their cement modules (lime saturation factor (LSF), silicate module (SM), and aluminate module (AM)). The average thicknesses were analysed, followed by normality tests (Kolmogorov–Smirnov (K–S) and Shapiro–Wilk (S–W)) of the chemical analyses: CaO, SiO2, Al2O3, Fe2O3, MgO, SO3, Na2O, K2O, CaCO3 (%) and three cement modules (LSF, SM, AM), available in the six lithological units. The normality tests were applied based on a number of input data. The further interpolation was performed using two methods, kriging and inverse distance weighting, mapping CaO (%), SiO2 (%), and LSF (−) in three different lithological units. The interpolation methods were selected based on two criteria: (a) normality test pass or fail and (b) the amount of data. In total, 144 tests were calculated, including sets from 7 to 36 points. The results show the current situation in the quarry, after decades of production, making reliable the future predictions of cement raw material exploitation. |
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This deposit contains the raw material for cement production. The researched area is located in southern Croatia, near Split, as part of the exploited field “St. Juraj–St. Kajo”. There are six lithological units: (1) alternation of marls and sandstones with inclusions of conglomerates, (2) marl, (3) calcsiltite, (4) calcarenite, (5) marl with nummulites, (6) debrites, and (7) clayey marl. All of them are deposited in the (a) northern and (b) southern beds. Only debrites are divided into the (a) western and (b) eastern layers. Those lithological units were divided technologically based on their cement modules (lime saturation factor (LSF), silicate module (SM), and aluminate module (AM)). The average thicknesses were analysed, followed by normality tests (Kolmogorov–Smirnov (K–S) and Shapiro–Wilk (S–W)) of the chemical analyses: CaO, SiO2, Al2O3, Fe2O3, MgO, SO3, Na2O, K2O, CaCO3 (%) and three cement modules (LSF, SM, AM), available in the six lithological units. The normality tests were applied based on a number of input data. The further interpolation was performed using two methods, kriging and inverse distance weighting, mapping CaO (%), SiO2 (%), and LSF (−) in three different lithological units. The interpolation methods were selected based on two criteria: (a) normality test pass or fail and (b) the amount of data. In total, 144 tests were calculated, including sets from 7 to 36 points. The results show the current situation in the quarry, after decades of production, making reliable the future predictions of cement raw material exploitation.</description><identifier>ISSN: 2227-9717</identifier><identifier>EISSN: 2227-9717</identifier><identifier>DOI: 10.3390/pr10050813</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Aluminum oxide ; Calcarenite ; Calcium carbonate ; Calcium oxide ; Cement ; Chemical compounds ; Chemical properties ; Composition ; Ferric oxide ; Inclusions ; Lithology ; Marl ; Materials ; Modules ; Normal distribution ; Normality ; Plate tectonics ; Raw materials ; Rocks, Sedimentary ; Sandstone ; Sediments ; Silicon dioxide ; Soil erosion ; Statistical methods ; Stone ; Sulfur trioxide ; Viscosity</subject><ispartof>Processes, 2022-04, Vol.10 (5), p.813</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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This deposit contains the raw material for cement production. The researched area is located in southern Croatia, near Split, as part of the exploited field “St. Juraj–St. Kajo”. There are six lithological units: (1) alternation of marls and sandstones with inclusions of conglomerates, (2) marl, (3) calcsiltite, (4) calcarenite, (5) marl with nummulites, (6) debrites, and (7) clayey marl. All of them are deposited in the (a) northern and (b) southern beds. Only debrites are divided into the (a) western and (b) eastern layers. Those lithological units were divided technologically based on their cement modules (lime saturation factor (LSF), silicate module (SM), and aluminate module (AM)). The average thicknesses were analysed, followed by normality tests (Kolmogorov–Smirnov (K–S) and Shapiro–Wilk (S–W)) of the chemical analyses: CaO, SiO2, Al2O3, Fe2O3, MgO, SO3, Na2O, K2O, CaCO3 (%) and three cement modules (LSF, SM, AM), available in the six lithological units. The normality tests were applied based on a number of input data. The further interpolation was performed using two methods, kriging and inverse distance weighting, mapping CaO (%), SiO2 (%), and LSF (−) in three different lithological units. The interpolation methods were selected based on two criteria: (a) normality test pass or fail and (b) the amount of data. In total, 144 tests were calculated, including sets from 7 to 36 points. The results show the current situation in the quarry, after decades of production, making reliable the future predictions of cement raw material exploitation.</description><subject>Aluminum oxide</subject><subject>Calcarenite</subject><subject>Calcium carbonate</subject><subject>Calcium oxide</subject><subject>Cement</subject><subject>Chemical compounds</subject><subject>Chemical properties</subject><subject>Composition</subject><subject>Ferric oxide</subject><subject>Inclusions</subject><subject>Lithology</subject><subject>Marl</subject><subject>Materials</subject><subject>Modules</subject><subject>Normal distribution</subject><subject>Normality</subject><subject>Plate tectonics</subject><subject>Raw materials</subject><subject>Rocks, Sedimentary</subject><subject>Sandstone</subject><subject>Sediments</subject><subject>Silicon dioxide</subject><subject>Soil erosion</subject><subject>Statistical methods</subject><subject>Stone</subject><subject>Sulfur trioxide</subject><subject>Viscosity</subject><issn>2227-9717</issn><issn>2227-9717</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpNUU1LxDAQLaKg6F78BQEvKq7mY5u0x6WsuuDiQT2XNJnYLm1Skyy4J_-6WVfQmcMMb957MDNZdk7wLWMlvhs9wTjHBWEH2QmlVExLQcThv_44m4SwxilKwoqcn2RfSxvBjx6ijJ2zyBlUtTB0SvZobmW_DRCQtBpVMICNaOX0pk9QZ9F9GqoWNVt0-QDu6mXnEOKPcgWxdTrcoMWnHMYekPFuQLEF9OI2qXiLKu8SX55lR0b2ASa_9TR7u1-8Vo_Tp-eHZTV_mio6K9m0UYbpRjGFuZS4NDPNOEjCNTdEKaOFpGA0EZxwITBjjcBQFA1leY4xk4SdZhd739G7jw2EWK_dxqcFQ015UgiGBU-s2z3rXfZQd9a46KVKqXcncRZMl_C5oBQX6dCzJLjeC5R3IXgw9ei7QfptTXC9e0r99xT2DU5yfv4</recordid><startdate>20220420</startdate><enddate>20220420</enddate><creator>Bralić, Nikolina</creator><creator>Malvić, Tomislav</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>LK8</scope><scope>M7P</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0003-2072-9539</orcidid><orcidid>https://orcid.org/0000-0001-6276-8283</orcidid></search><sort><creationdate>20220420</creationdate><title>Interpretation of Chemical Analyses and Cement Modules in Flysch by (Geo)Statistical Methods, Example from the Southern Croatia</title><author>Bralić, Nikolina ; Malvić, Tomislav</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2493-bcf3dbc3c06aa09f4d36ea16d6f1ccfd7a2efd1761677033b70e88b2355003a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aluminum oxide</topic><topic>Calcarenite</topic><topic>Calcium carbonate</topic><topic>Calcium oxide</topic><topic>Cement</topic><topic>Chemical compounds</topic><topic>Chemical properties</topic><topic>Composition</topic><topic>Ferric oxide</topic><topic>Inclusions</topic><topic>Lithology</topic><topic>Marl</topic><topic>Materials</topic><topic>Modules</topic><topic>Normal distribution</topic><topic>Normality</topic><topic>Plate tectonics</topic><topic>Raw materials</topic><topic>Rocks, Sedimentary</topic><topic>Sandstone</topic><topic>Sediments</topic><topic>Silicon dioxide</topic><topic>Soil erosion</topic><topic>Statistical methods</topic><topic>Stone</topic><topic>Sulfur trioxide</topic><topic>Viscosity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bralić, Nikolina</creatorcontrib><creatorcontrib>Malvić, Tomislav</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bralić, Nikolina</au><au>Malvić, Tomislav</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interpretation of Chemical Analyses and Cement Modules in Flysch by (Geo)Statistical Methods, Example from the Southern Croatia</atitle><jtitle>Processes</jtitle><date>2022-04-20</date><risdate>2022</risdate><volume>10</volume><issue>5</issue><spage>813</spage><pages>813-</pages><issn>2227-9717</issn><eissn>2227-9717</eissn><abstract>This study included the testing of normal (Gaussian) distribution of input data and, consequently, spatially interpolating maps of chemical components and cement modules in the flysch. This deposit contains the raw material for cement production. The researched area is located in southern Croatia, near Split, as part of the exploited field “St. Juraj–St. Kajo”. There are six lithological units: (1) alternation of marls and sandstones with inclusions of conglomerates, (2) marl, (3) calcsiltite, (4) calcarenite, (5) marl with nummulites, (6) debrites, and (7) clayey marl. All of them are deposited in the (a) northern and (b) southern beds. Only debrites are divided into the (a) western and (b) eastern layers. Those lithological units were divided technologically based on their cement modules (lime saturation factor (LSF), silicate module (SM), and aluminate module (AM)). The average thicknesses were analysed, followed by normality tests (Kolmogorov–Smirnov (K–S) and Shapiro–Wilk (S–W)) of the chemical analyses: CaO, SiO2, Al2O3, Fe2O3, MgO, SO3, Na2O, K2O, CaCO3 (%) and three cement modules (LSF, SM, AM), available in the six lithological units. The normality tests were applied based on a number of input data. The further interpolation was performed using two methods, kriging and inverse distance weighting, mapping CaO (%), SiO2 (%), and LSF (−) in three different lithological units. The interpolation methods were selected based on two criteria: (a) normality test pass or fail and (b) the amount of data. In total, 144 tests were calculated, including sets from 7 to 36 points. The results show the current situation in the quarry, after decades of production, making reliable the future predictions of cement raw material exploitation.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/pr10050813</doi><orcidid>https://orcid.org/0000-0003-2072-9539</orcidid><orcidid>https://orcid.org/0000-0001-6276-8283</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aluminum oxide Calcarenite Calcium carbonate Calcium oxide Cement Chemical compounds Chemical properties Composition Ferric oxide Inclusions Lithology Marl Materials Modules Normal distribution Normality Plate tectonics Raw materials Rocks, Sedimentary Sandstone Sediments Silicon dioxide Soil erosion Statistical methods Stone Sulfur trioxide Viscosity |
title | Interpretation of Chemical Analyses and Cement Modules in Flysch by (Geo)Statistical Methods, Example from the Southern Croatia |
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