Relationship between petrographic parameters and physical-mechanical properties of weakly cemented sandstones

2020 ◽  
Vol 54 (1) ◽  
pp. qjegh2018-168
Author(s):  
Zhenkang Wang ◽  
Jiangfeng Chen ◽  
Wenping Li ◽  
Qiqing Wang ◽  
Qinghe Niu ◽  
...  
Keyword(s):  
Organic Matter ◽  
Multiple Regression ◽  
Organic Matter Content ◽  
Textural Properties ◽  
Matter Content ◽  
P Wave ◽  
Stepwise Multiple Regression ◽  
Regression Equations ◽  
Overburden Pressure ◽  
Thin Sections

Petrographic characteristics (textural properties and modal compositions) have an intrinsic influence on the physical and mechanical (PM) properties of weakly cemented sandstones. Sixteen sandstone samples were tested to determine the PM parameters and then thin sections from those samples were used to measure the petrographic parameters. Petrographic parameters were analysed statistically to establish quantitative relationships between the petrographic characteristics and PM properties. Based on multiple linear regression (MLRA) and stepwise multiple regression analyses (SMRA), several multiple regression equations with significant petrographic variables were established for estimating the PM parameters of the sandstone. Results indicated that uniaxial compressive strength (UCS) and Young's modulus (E) were closely related to mean grain size (Mz) (φ-value), non-uniform coefficient (Cu), fractal dimension (Fd), Riley sphericity (Ψp), packing proximity (Pp), floating contacts (Fl), grain-to-grain contacts (G-G), feldspar content and organic matter content. An increased percentage of grain-to-cement contacts (G-C) and reduced percentages of grain-to-matrix contacts (G-M) and organic matter content indicated a high value of Poisson's ratio (POISS). In addition, Mz, Cu, Fd, Ψp, quartz, feldspar, and organic matter contents were found to be significant parameters for density and P-wave velocity (Vp). Furthermore, density and POISS could be predicted using the results from the MLRA and Fd was a good predictor for density, Vp and UCS using the results from the SMRA. Additionally, it was noted that the petrographic characteristics of roof sandstones had significant influence on the overburden pressure characteristics within the coal faces in the Shendong mining area.

scholarly journals Spectral Response of Water Under Different Concentrations of Suspended Sediment: Measurement and Simplified Modeling

2019 ◽  
Vol 11 (3) ◽  
pp. 327
Author(s):  
J. W. B. Lopes ◽  
F. B. Lopes ◽  
E. M. de Andrade ◽  
L. C. G. Chaves ◽  
M. G. R. Carneiro
Keyword(s):  
Organic Matter ◽  
Suspended Sediment ◽  
Spectral Response ◽  
Salt Content ◽  
Organic Matter Content ◽  
Textural Properties ◽  
Sediment Concentration ◽  
Matter Content ◽  
Irrigated Agriculture ◽  
Spectral Partitioning

Understanding the spectral behaviour of water is of the greatest importance to the quality management of water resources. Continuous monitoring by remote sensing is therefore essential for administrators seeking the efficient management of its many uses. The aim of this research was to characterise the spectral response of water submitted to different concentrations of sediments of varying textural properties, organic matter and salts, and to identify the implications of these characteristics using simplified modelling. The experiment was conducted at the Radiometry Laboratory of the Department of Agricultural Engineering of the Federal University of Ceará, Brazil. The soils used in the research came from two areas of irrigated agriculture in Ceará, one in Morada Nova and the other in Pentecoste. Both soils were classified as Fluvic Neosols; the first saline and the second saline-sodic, and presented significant differences in granulometric composition and organic matter content. From the results, it can be concluded that: (i) sediments added at different concentrations cause an increase and deformation of the reflectance curves, and that maximum spectral partitioning occurs at two reflectance peaks; (ii) derivative analysis favours the identification of wavelengths that best differentiate sediment concentration, allowing more-efficient modelling of the process; (iii) the characteristics of texture, organic matter and salt content have little effect on estimating suspended-sediment concentration in the water, making multiple linear regression modelling a viable option for this purpose.

scholarly journals Relationship of soil properties to fractionation, bioavailability and mobility of lead and zinc in soil

2008 ◽  
Vol 53 (No. 5) ◽  
pp. 225-238 ◽  
Author(s):  
N. Finžgar ◽  
P. Tlustoš ◽  
D. Leštan
Keyword(s):  
Organic Matter ◽  
Regression Analysis ◽  
Soil Organic Matter ◽  
Soil Properties ◽  
Multiple Regression ◽  
Contaminated Soils ◽  
Organic Matter Content ◽  
Clay Content ◽  
Exchange Capacity ◽  
Matter Content

Sequential extractions, metal uptake by <i>Taraxacum officinale</i>, Ruby&rsquo;s physiologically based extraction test (PBET) and toxicity characteristic leaching procedure (TCLP), were used to assess the risk of Pb and Zn in contaminated soils, and to determine relationships among soil characteristics, heavy metals soil fractionation, bioavailability and leachability. Regression analysis using linear and 2nd order polynomial models indicated relationships between Pb and Zn contamination and soil properties, although of small significance (<i>P</i> < 0.05). Statistically highly significant correlations (<i>P</i> < 0.001) were obtained using multiple regression analysis. A correlation between soil cation exchange capacity (CEC) and soil organic matter and clay content was expected. The proportion of Pb in the PBET intestinal phase correlated with total soil Pb and Pb bound to soil oxides and the organic matter fraction. The leachable Pb, extracted with TCLP, correlated with the Pb bound to carbonates and soil organic matter content (<i>R</i><sup>2</sup> = 69%). No highly significant correlations (<i>P</i> < 0.001) for Zn with soil properties or Zn fractionation were obtained using multiple regression.

scholarly journals Análisis de poblaciones de micorrizas en maíz (Zea mays) cultivado en suelos ácidos bajo diferentes tratamientos agronómicos

2004 ◽  
Vol 5 (1) ◽  
pp. 31 ◽  
Author(s):  
Ana María Serralde O. ◽  
María Margarita Ramírez G.
Keyword(s):  
Zea Mays ◽  
Organic Matter ◽  
Organic Matter Content ◽  
Acid Soils ◽  
Am Fungi ◽  
Matter Content ◽  
Chicken Manure ◽  
Control Treatment ◽  
Stepwise Multiple Regression ◽  
Soil Conditions

<p>Mediante el seguimiento de cultivos experimentales en suelos ácidos de los Llanos Orientales, durante un periodo de cinco años consecutivos (1997-2001), se evaluaron las poblaciones nativas de hongos micorrícicos arbusculares (MA) asociados con dos variedades de maíz: ICA- Sikuani V-110 y la variedad regional criolla Clavito, analizando su comportamiento bajo distintos tratamientos con abono orgánico (gallinaza), abono verde (Caupí) y testigo sin aplicación de materiales orgánicos, para un total de seis tratamientos. De 7.924 esporas analizadas se aislaron veinticuatro morfotipos identificados morfológica y molecularmente. Se determinó la relación de las condiciones del suelo (pH, los contenidos de materia orgánica, P, K, Al+++ y % saturación Al) con el comportamiento de las poblaciones de MA. Con la aplicación del Análisis de Regresión Múltiple (Stepwise), se obtuvieron coeficientes significativos (P≤ 0.001 y R2 ≥ 83) para todas las variables y se seleccionaron como variables predictivas principales el pH y la materia orgánica del suelo, que presentaron coeficientes significativos para cinco y cuatro de los siete modelos establecidos, respectivamente. La técnica molecular empleada basada en la Reacción en Cadena de la Polimerasa (PCR), con el uso de primers específicos, permitió la identificación confirmatoria de las esporas aisladas de los géneros <em>Glomus, Entrophospora </em>y <em>Gigaspora</em>. Además, mediante el uso de esta metodología se logró identificar la presencia del género <em>Glomus</em>en raíces de maíz altamente colonizadas.</p><p> </p><p><strong>Mycorrhiza populations analysis in corn (<em>Zea mays</em>) cultivated in acid soils under different agronomic treatments</strong></p><p>A study was carried out to evaluate the populations of native arbuscular mycorrhizas (AM) fungi on established crops on acid soils of the Colombian Eastern Plains, for a period of five years (1997-2001). Fungi spores were isolated from the crop-fungi association of two maize cultivars: ICASikuani V-110 and the regional cultivar Clavito. The mycorrhizal behavior was evaluated under six different organic fertilization treatments, which included green manure (cowpea), chicken manure and a control treatment (no application). From a total of 7924 spores, 24 different types of mycorrhiza were characterized using morphological and molecular analysis. The relation between soil conditions (pH, organic matter contents, P, K, Al+++ and % Al saturation) and AM fungi populations was analysed using a Stepwise Multiple Regression model. According to the regression coefficients obtained (P≤ 0.001 y R2 ≥ 0.83), soil pH and organic matter content were the independent variables that explained most of the variation observed in AM populations. The molecular methodology was based on the Polymerase Chain Reaction (PCR) and the use of specific primers allowed to identify spores from <em>Glomus</em>, <em>Entrophospora </em>and <em>Gigaspora</em>. This methodology also provided the identification of fungi from the <em>Glomus </em>genera in highly colonized maize roots.</p>

Efficacy of Selected Herbicides as Influenced by Soil Properties

1990 ◽  
Vol 4 (2) ◽  
pp. 279-283 ◽  
Author(s):  
Michael R. Blumhorst ◽  
Jerome B. Weber ◽  
Len R. Swain
Keyword(s):  
Organic Matter ◽  
Field Experiments ◽  
Sandy Loam ◽  
Organic Matter Content ◽  
Organic Content ◽  
Matter Content ◽  
Herbicidal Activity ◽  
Soil Parameters ◽  
Regression Equations ◽  
Humic Matter

Field experiments were conducted on six loam and sandy loam soils to study the influence of various soil parameters on atrazine, cyanazine, alachlor, metolachlor, and pendimethalin efficacy. Herbicidal activity was highly correlated to the soil organic content. Humic matter content was equally or better correlated (r = 0.70 to 0.91) with herbicide bioactivity than was organic matter content (r = 0.66 to 0.84). Regression equations were determined which allow herbicide rate recommendations for 80% weed control to be calculated based on soil humic matter or organic matter levels.

Empirical Relationships of Phytomacrofaunal Abundance to Plant Biomass and Macrophyte Bed Characteristics

1988 ◽  
Vol 45 (6) ◽  
pp. 976-984 ◽  
Author(s):  
Hélène Cyr ◽  
John A. Downing
Keyword(s):  
Organic Matter ◽  
Total Phosphorus ◽  
Plant Biomass ◽  
Organic Matter Content ◽  
Matter Content ◽  
Rooting Depth ◽  
Phosphorus Concentration ◽  
Regression Equations ◽  
Lake Area ◽  
Total Phosphorus Concentration

The abundance of phytophilous invertebrates was measured in 13 macrophyte beds and was related, using multiple regression analysis, to the biomass of macrophytes among which the invertebrates were collected, the average plant biomass growing per unit lake area, water and organic matter content of the sediments, total phosphorus concentration in the water, rooting depth of the macrophyte bed, and sampling date. Quantitative analyses are presented for chironomids, cladocerans, cyclopoid copepods, gastropods, water mites (Hydracarina), ostracods, and trichopterans. R2 values for the regression equations ranged from 0.43 to 0.81. The abundance of invertebrates was best related to the biomass of separate plant species, but equations based only on total plant biomass sometimes had equivalent R2 values, in general, the abundance of phytophilous invertebrates was positively related to areal plant biomass, sediment organic matter, and lake trophic status and negatively related to depth. The abundance of phytophilous invertebrates generally rose throughout the sampling season. The sign of the relationship with sediment water content, however, varied among invertebrate taxa. Macrophyte beds with high areal plant biomass, in lakes with high total phosphorus concentration, support the greatest abundance of potential invertebrate food for fish and waterfowl.

scholarly journals CHANGES IN MICROMORPHOMETRIC PARAMETERS OF VOIDS ALONG THE PROFILE OF ZONAL SOILS IN EUROPEAN RUSSIA

2015 ◽  
pp. 42-58
Author(s):  
E. B. Skvortsova ◽  
K. N. Abrosimov ◽  
K. A. Romanenko
Keyword(s):  
Organic Matter ◽  
Soil Profile ◽  
Pore Space ◽  
Organic Matter Content ◽  
Soil Mass ◽  
Matter Content ◽  
European Russia ◽  
Vertical Orientation ◽  
Thin Sections ◽  
Profile Distribution

The soils are distinguished by the presence and the profile distribution pattern of such pedogenic parameters as the organic matter content, available pedofeatures, structural state of the soil mass, etc. They differ in the organization of the pore space throughout the soil profile as well. Under discussion are results of computer micromorphometric analysis of fine macropores d = 0.2-2.0 mm in thin sections of vertical orientation from samples taken in genetic horizons of podzolic, soddy podzolic, gray forest soils and chernozems at the territory of European Russia. The profile changes in voids were analyzed using the most informative morphometric parameters such as the total area of the studied voids in thin sections, the content of fissure-like voids and those of vertical and/or horizontal orientation. The soil types under study showed differences in profile distribution of the above parameters. By analogy with the profile of carbonates, salts, organic matter it is proposed to recognize diagnostic profiles of the pore space represented as a system of voids in genetic horizons of the soil profile. Empiric profiles of the pore space reveal a great diversity. The most complicated organization of the pore space is inherent to soddy podzolic soils, the most simple “smoothed” profiles are characteristic of typical chernozems. The expert qualitative typization showed that the eluvial-illuvial and accumulative-eluvial-illuvial types are dominant among the studied empiric profiles of the pore space (42 and 30% respectively), what is explained by prevailing texture-differentiated soils. On the other hand, it makes possible to use the profile of the pore space as a diagnostic parameter of soils and soil formation processes.

Making Herbicide Rate Recommendations Based on Soil Tests

1987 ◽  
Vol 1 (1) ◽  
pp. 41-45 ◽  
Author(s):  
Jerome B. Weber ◽  
M. Ray Tucker ◽  
Robert A. Isaac
Keyword(s):  
Organic Matter ◽  
Acetic Acid ◽  
Soil Organic Matter ◽  
Field Experiments ◽  
Chromic Acid ◽  
Organic Matter Content ◽  
Matter Content ◽  
Regression Equations ◽  
Humic Matter ◽  
Soil Organic Matter Content

Percent soil organic matter content, as determined by standard chromic acid oxidations, was highly (r = 0.89) correlated with soil humic matter content, as determined by NaOH/DTPA (diethylenetriaminepenta-acetic acid)/alcohol extraction of 201 U.S. soils. Humic matter content of the soils was equally or better correlated (r = 0.89 to 0.97) with herbicide bioactivity, as measured in field experiments, than was percent organic matter content (r = 0.87 to 0.92). Regression equations provided allow herbicide rate recommendations for 80% weed control to be calculated based on soil humic matter or soil organic matter levels.

HEAVY METAL SPECIATION IN BOTTOM SEDIMENTS OF THE VYSHNEVOLOTSKY RESERVOIR

2018 ◽  
pp. 46-54
Author(s):  
O. A. Lipatnikova
Keyword(s):  
Heavy Metal ◽  
Organic Matter ◽  
Bottom Sediments ◽  
Metal Speciation ◽  
Organic Matter Content ◽  
Water Reservoir ◽  
Matter Content ◽  
Heavy Metal Speciation ◽  
Mobile Forms ◽  
Manganese Hydroxides

The study of heavy metal speciation in bottom sediments of the Vyshnevolotsky water reservoir is presented in this paper. Sequential selective procedure was used to determine the heavy metal speciation in bottom sediments and thermodynamic calculation — to determine ones in interstitial water. It has been shown that Mn are mainly presented in exchangeable and carbonate forms; for Fe, Zn, Pb и Co the forms are related to iron and manganese hydroxides is played an important role; and Cu and Ni are mainly associated with organic matter. In interstitial waters the main forms of heavy metal speciation are free ions for Zn, Ni, Co and Cd, carbonate complexes for Pb, fulvate complexes for Cu. Effects of particle size and organic matter content in sediments on distribution of mobile and potentially mobile forms of toxic elements have been revealed.

Physico-Chemical Properties of Soil Collected from Chandrabhaga River in Kalmeshwar, Nagpur, Maharashtra

2020 ◽  
Vol 07 (02) ◽  
pp. 1-3
Author(s):  
Amita M Watkar ◽  
Keyword(s):  
Organic Matter ◽  
Soil Quality ◽  
Agricultural Land ◽  
Organic Matter Content ◽  
Chemical Properties ◽  
Matter Content ◽  
Soil Attributes ◽  
Essential Components ◽  
Agricultural Land Management ◽  
Physical And Chemical

Soil, itself means Soul of Infinite Life. Soil is the naturally occurring unconsolidated or loose covering on the earth’s surface. Physical properties depend upon the amount, size, shape, arrangement, and mineral composition of soil particles. It also depends on the organic matter content and pore spaces. Chemical properties depend on the Inorganic and organic matter present in the soil. Soils are the essential components of the environment and foundation resources for nearly all types of land use, besides being the most important component of sustainable agriculture. Therefore, assessment of soil quality and its direction of change with time is an ideal and primary indicator of sustainable agricultural land management. Soil quality indicators refer to measurable soil attributes that influence the capacity of a soil to function, within the limits imposed by the ecosystem, to preserve biological productivity and environmental quality and promote plant, animal and human health. The present study is to assess these soil attributes such as physical and chemical properties season-wise.

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