scholarly journals Effect of the dewatering on the surrounding terrains during the construction of Metrostation 9-III of the Sofia Metropoliten

2021 ◽  
Vol 82 (3) ◽  
pp. 207-209
Author(s):  
Ina Bojinova-Popova
Keyword(s):  
Hydraulic Conductivity ◽  
Deformation Modulus ◽  
Soil Deformation ◽  
Soil Hydraulic Conductivity ◽  
Soil Hydraulic

The international practice often faces significant settlements of terrains and structures due to dewatering. This study presents of the dewatering impact during the construction of Metrostation 9-III from the Sofia Metropoliten on the surrounding terrains and buildings. The subsidences are quantified for specific values of the soil deformation modulus and varying values of the soil hydraulic conductivity.

Simplified estimation of unsaturated soil hydraulic conductivity using bulk electrical conductivity and particle size distribution

Soil Research ◽  
2013 ◽  
Vol 51 (1) ◽  
pp. 23 ◽  
Author(s):  
Mohammad Reza Neyshabouri ◽  
Mehdi Rahmati ◽  
Claude Doussan ◽  
Boshra Behroozinezhad
Keyword(s):  
Electrical Conductivity ◽  
Particle Size ◽  
Hydraulic Conductivity ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Unsaturated Soil ◽  
Soil Core ◽  
Soil Hydraulic Conductivity ◽  
Core Samples ◽  
Soil Hydraulic

Unsaturated soil hydraulic conductivity K is a fundamental transfer property of soil but its measurement is costly, difficult, and time-consuming due to its large variations with water content (θ) or matric potential (h). Recently, C. Doussan and S. Ruy proposed a method/model using measurements of the electrical conductivity of soil core samples to predict K(h). This method requires the measurement or the setting of a range of matric potentials h in the core samples—a possible lengthy process requiring specialised devices. To avoid h estimation, we propose to simplify that method by introducing the particle-size distribution (PSD) of the soil as a proxy for soil pore diameters and matric potentials, with the Arya and Paris (AP) model. Tests of this simplified model (SM) with laboratory data on a broad range of soils and using the AP model with available, previously defined parameters showed that the accuracy was lower for the SM than for the original model (DR) in predicting K (RMSE of logK = 1.10 for SM v. 0.30 for DR; K in m s–1). However, accuracy was increased for SM when considering coarse- and medium-textured soils only (RMSE of logK = 0.61 for SM v. 0.26 for DR). Further tests with 51 soils from the UNSODA database and our own measurements, with estimated electrical properties, confirmed good agreement of the SM for coarse–medium-textured soils (<35–40% clay). For these textures, the SM also performed well compared with the van Genuchten–Mualem model. Error analysis of SM results and fitting of the AP parameter showed that most of the error for fine-textured soils came from poorer adequacy of the AP model’s previously defined parameters for defining the water retention curve, whereas this was much less so for coarse-textured soils. The SM, using readily accessible soil data, could be a relatively straightforward way to estimate, in situ or in the laboratory, K(h) for coarse–medium-textured soils. This requires, however, a prior check of the predictive efficacy of the AP model for the specific soil investigated, in particular for fine-textured/structured soils and when using previously defined AP parameters.

Simple Field Methods for Estimating Soil Hydraulic Conductivity

1980 ◽  
Vol 44 (1) ◽  
pp. 3-7 ◽  
Author(s):  
P. L. Libardi ◽  
K. Reichardt ◽  
D. R. Nielsen ◽  
J. W. Biggar
Keyword(s):  
Hydraulic Conductivity ◽  
Field Methods ◽  
Soil Hydraulic Conductivity ◽  
Soil Hydraulic

Changes in soil hydraulic conductivity after prescribed fires in Mediterranean pine forests

2019 ◽  
Vol 232 ◽  
pp. 1021-1027 ◽  
Author(s):  
P.A. Plaza-Álvarez ◽  
M.E. Lucas-Borja ◽  
J. Sagra ◽  
D.A. Zema ◽  
J. González-Romero ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Pine Forests ◽  
Prescribed Fires ◽  
Soil Hydraulic Conductivity ◽  
Soil Hydraulic ◽  
Mediterranean Pine

scholarly journals Soil hydraulic conductivily measurement on a sloping field

2000 ◽  
Vol 4 (3) ◽  
pp. 480-482
Author(s):  
Luís Carlos Timm ◽  
Julio Cesar Martins de Oliveira ◽  
Tânia Toyomi Tominaga ◽  
Fábio Augusto Meira Cássaro ◽  
Klaus Reichardt ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Soil Water Potential ◽  
Vertical Flow ◽  
Experimental Site ◽  
Soil Hydraulic Conductivity ◽  
Soil Movement ◽  
Neutron Probe ◽  
Field Methodology ◽  
Sloping Field ◽  
Soil Hydraulic

A field methodology is presented for the measurement of the soil hydraulic conductivity in a sloping field, minimizing the leveling soil movement before water pounding and redistribution. The assurance of vertical flow only is performed through soil water potential isolines. The hydraulic conductivity was determined by the instantaneous profile method. Results for the nine neutron probe access tubes indicate that one single K(theta) relation is sufficient to represent the experimental site.

The effects of sustained forest use on hillslope soil hydraulic conductivity in the Middle Mountains of Central Nepal

Ecohydrology ◽  
2013 ◽  
Vol 7 (2) ◽  
pp. 478-495 ◽  
Author(s):  
Chandra Prasad Ghimire ◽  
L. Adrian Bruijnzeel ◽  
Mike Bonell ◽  
Neil Coles ◽  
Maciek W. Lubczynski ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Soil Hydraulic Conductivity ◽  
Central Nepal ◽  
Middle Mountains ◽  
Soil Hydraulic ◽  
Forest Use

Estimation of Soil Hydraulic Conductivity on Clay Content, Determined from Resistivity Data

2006 ◽  
Author(s):  
Vladimir Shevnin ◽  
Omar Delgado‐Rodríguez ◽  
Aleksandr Mousatov ◽  
Albert Ryjov
Keyword(s):  
Hydraulic Conductivity ◽  
Clay Content ◽  
Soil Hydraulic Conductivity ◽  
Resistivity Data ◽  
Soil Hydraulic
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