Undisturbed soil core sampling method and its significance in chemical analysis of flood affected regions with special reference to Benni halla basin, Northern Karnataka, India

2013 ◽  
Author(s):  
C. M. Noor Mansoor ◽  
L. Mahesh Bilwa ◽  
Nagamadhu C.J ◽  
Mohamed Muzamil Ahamed ◽  
Sreedharaje Urs
Keyword(s):  
Chemical Analysis ◽  
Special Reference ◽  
Sampling Method ◽  
Soil Core ◽  
Undisturbed Soil ◽  
Core Sampling

scholarly journals Alternative method for volumetric core removal in hardsetting soils

2005 ◽  
Vol 62 (5) ◽  
pp. 493-497 ◽  
Author(s):  
Herdjania Veras de Lima ◽  
Álvaro Pires da Silva ◽  
Sílvia Imhoff ◽  
Afrânio Ferreira Neves Junior
Keyword(s):  
Soil Bulk Density ◽  
Field Method ◽  
Laboratory Method ◽  
Soil Samples ◽  
Soil Core ◽  
Hydraulic Pump ◽  
Undisturbed Soil ◽  
Alternative Method ◽  
Moisture Conditions ◽  
Large Soil

Due to the narrow window of ideal moisture conditions required for collecting undisturbed soil samples from hardsetting horizons in the field, this study compared the efficiency of an alternative method of soil core removal in the laboratory with that of the traditional field method by using measurements of soil bulk density data (Db). In a first sampling, cylinders were removed with a soil sampler in the field. In a second sampling, large soil blocks were removed with Kubiena-type zinc (brass) boxes in the field. Volumetric core cylinder samples were removed from these blocks in the laboratory with a manual hydraulic pump. There were no differences between the Db values determined from the laboratory and the field coring method. The laboratory method was considered more efficient than the field method because it allowed reductions in the errors made by operators in the field, and those caused by differences in soil water content. The laboratory method allows sampling in hardsetting horizons throughout the year, and collecting soil core samples under conditions of controlled moisture and applied force.

A comparison of soil core sampling and minirhizotrons to quantify root development of field-grown potatoes

1996 ◽  
Vol 182 (2) ◽  
pp. 301-312 ◽  
Author(s):  
F. J. De Ruijter ◽  
B. W. Veen ◽  
M. Van Oijen
Keyword(s):  
Root Development ◽  
Soil Core ◽  
Core Sampling

How representative is the conventional undisturbed soil core sample in terms of fllow properties?

2020 ◽  
Author(s):  
Kirill Gerke ◽  
Marina Karsanina
Keyword(s):  
Hydraulic Conductivity ◽  
Boundary Conditions ◽  
Image Fusion ◽  
Correlation Functions ◽  
Physical Review ◽  
Soil Samples ◽  
Soil Core ◽  
Pore Scale ◽  
Undisturbed Soil ◽  
Multi Scale

<p>Classic soil physics relies heavily on the concept of representative elementary volume (REV), which is necessary to perform upscaling from the studied soil samples and parameterize continuum scale hydrological models (e.g., based on Richards equation). In this paper we explore the boundaries of the classic REV concept and conventional representativity studies that claim REV for a given physical property if its values converge to a steady value with increasing sample’s volume. We chose two conventional undisturbed soil samples from Ah and B horizons and performed pore-scale flow simulations based on their X-ray microtomography scans. The volumes of the simulation domains were 729 million of voxels with a physical volume within the order of magnitude of the whole soil core. Based on 3D pore geometry images and resulting flow velocity and pressure fields we performed REV analysis for saturated hydraulic conductivity and porosity. To further facilitate the REV analysis, we also evaluated the stationarity of pore structures by computing directional correlation functions for studied images. We concluded that neither of the studied samples can be considered to be representative due to its structural non-stationarity, which reflects on the behavior of Ksat values within the subcubes of different volume within the samples. In this contribution we extensively discuss the implications of such results. While it was possible to show that studied soil samples are not REVs for saturated hydraulic conductivity, we were unable to establish any relevant domain length scale. The latter may require tensorial flow property analysis with correct boundary conditions (Gerke et al., 2019), multi-scale soil structure imaging (Gerke et al., 2015; Karsanina et al., 2018; Karsanina and Gerke, 2018) and pore-scale simulations on fused multi-scale images (Miao et al., 2017; Gerke et al., 2018).</p><p>This work was supported by Russian Foundation for Basic Research grant 20-54-12030 ННИО_а and 18-34-20131 мол_а_вед.</p><p>References:</p><p>Karsanina, M. V., Gerke, K. M., Skvortsova, E. B., Ivanov, A. L., & Mallants, D. (2018). Enhancing image resolution of soils by stochastic multiscale image fusion. Geoderma, 314, 138-145.</p><p>Gerke, K. M., Karsanina, M. V., & Mallants, D. (2015). Universal stochastic multiscale image fusion: an example application for shale rock. Scientific reports, 5, 15880.</p><p>Gerke, K. M., Vasilyev, R. V., Khirevich, S., Collins, D., Karsanina, M. V., Sizonenko, T. O., Korost D.V., Lamontagne S., & Mallants, D. (2018). Finite-difference method Stokes solver (FDMSS) for 3D pore geometries: Software development, validation and case studies. Computers & Geosciences, 114, 41-58</p><p>Karsanina, M. V., & Gerke, K. M. (2018). Hierarchical Optimization: Fast and Robust Multiscale Stochastic Reconstructions with Rescaled Correlation Functions. Physical Review Letters, 121(26), 265501.</p><p>Miao, X., Gerke, K. M., & Sizonenko, T. O. (2017). A new way to parameterize hydraulic conductances of pore elements: A step towards creating pore-networks without pore shape simplifications. Advances in Water Resources, 105, 162-172.</p><p>Gerke, K. M., Karsanina, M. V., & Katsman, R. (2019). Calculation of tensorial flow properties on pore level: Exploring the influence of boundary conditions on the permeability of three-dimensional stochastic reconstructions. Physical Review E, 100(5), 053312.</p>

Undisturbed soil-core sampler for submerged puddled soils

1991 ◽  
Vol 4 (3) ◽  
pp. 315-317
Author(s):  
P.K. Sharma ◽  
R.M. Bhagat
Keyword(s):  
Soil Core ◽  
Undisturbed Soil ◽  
Core Sampler

scholarly journals A Study on Impact of Virtual Intelligence among the Students of Higher Education with Special Reference to Chennai City

2021 ◽  
Vol 9 (3) ◽  
pp. 196-200
Author(s):  
S Dhanalakshmi ◽  
K Komalavalli ◽  
R Hemalatha ◽  
S Kalyani
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Data Analysis ◽  
Special Reference ◽  
Sampling Method ◽  
Positive Approach ◽  
Current Scenario ◽  
Chennai City

In the current scenario, the words Artificial Intelligence and Virtual Intelligence are the familiar ones among students of all ages. This study analyzes the usage of virtual intelligence during the  pandemic period. The students of higher education mostly adopted the present way of teaching by using technology. A Positive approach to virtual Intelligence is exhibited in this study. 142 samples were collected by using a convenient sampling method through the well-framed questionnaire for the data analysis.

scholarly journals THE IMPACT OF FLOOD ON THE SOCIO-ECONOMIC LIFES OF THE PEOPLE IN POTHUKALLU PANCHAYATH WITH SPECIAL REFERENCE TO KAVALAPPARA AT MALAPPURAM DISTRICTS, KERALA

2020 ◽  
pp. 67-70
Author(s):  
Pradeep M B ◽  
Rajesh E
Keyword(s):  
Climate Change ◽  
Special Reference ◽  
Sampling Method ◽  
Government Support ◽  
Public Infrastructure ◽  
The People ◽  
Indian State ◽  
Socio Economic Impact ◽  
The Impact ◽  
Extensive Damage

The present paper aims to investigating the impact of flood on the socio economic lifes of the people in Pothukallu panchayath with special reference to Kavalappara at Malappuram districts ,Kerala. Kerala is one of the most eligible aspirants for achieving a developed economy status among Indian state. Unfortunately , the unprecedented flood in Kerala in 2018 and 2019 caused extensive damage to houses, public infrastructure, agriculture crops and livestock, livelihood, businesses, eco-system and bio-diversity. The study focus on the impact of flood , effectiveness government support,intensity of flood etc. therefore through convenient sampling method used to data collection through predesigned questionnaire. KEYWORDS ; Socio-economic Impact, Climate change, livelihood, Flash floods

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