Reliability analysis of horizontally loaded pile considering spatial variability of soil parameters

2021 ◽  
Vol 143 ◽  
pp. 106648
Author(s):  
Xiao-ling Zhang ◽  
Bo-han Jiao ◽  
Ben-wei Hou
Keyword(s):  
Spatial Variability ◽  
Reliability Analysis ◽  
Soil Parameters

Reliability Analysis of Embankment Reflecting Spatial Variability of Soil Parameters

2016 ◽  
Vol 12 (10) ◽  
pp. 149-158
Author(s):  
Dong Wook Kim ◽  
◽  
Ki Cheol Lee ◽  
Jin Ho Kim ◽  
◽  
...  
Keyword(s):  
Spatial Variability ◽  
Reliability Analysis ◽  
Soil Parameters

scholarly journals Consolidation Inverse Analysis Considering Spatial Variability and Non-Linearity of Soil Parameters

2002 ◽  
Vol 42 (3) ◽  
pp. 45-61 ◽  
Author(s):  
Shin-ichi Nishimura ◽  
Kiyoshi Shimada ◽  
Hiroaki Fujii
Keyword(s):  
Spatial Variability ◽  
Inverse Analysis ◽  
Soil Parameters

scholarly journals Spatial variability of vegetation index and soil properties in an integrated crop-livestock system

2017 ◽  
Vol 21 (8) ◽  
pp. 513-518 ◽  
Author(s):  
Alberto C. de C. Bernardi ◽  
Célia R. Grego ◽  
Ricardo G. Andrade ◽  
Ladislau M. Rabello ◽  
Ricardo Y. Inamasu
Keyword(s):  
Spatial Variability ◽  
Soil Properties ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Management Strategies ◽  
Exchange Capacity ◽  
Soil Parameters ◽  
Forage Production ◽  
Soil P ◽  
Livestock System

ABSTRACT The knowledge of soil property spatial variability is useful for determining the rational use of inputs, such as the site-specific application of lime and fertilizer. The objective of this study was to evaluate the vegetation index and spatial variability of physical and chemical soil properties in an integrated crop-livestock system (ICLS). Soil samples were taken from a 6.9 ha area in a regular hexagon grid at 0-0.20 m depths. Soil P, K, Ca, Mg, and cation exchange capacity - CEC; base saturation; clay and sand were analyzed. Soil electrical conductivity (ECa) was measured with a contact sensor. The site was evaluated at the end of the corn season (April) and during forage production (October) using Landsat 5 images, remote sensing techniques and a geographic information system (GIS). Results showed that the normalized difference vegetation index (NDVI) was associated with ECa and soil parameters, indicating crop and pasture variations in the ICLS. Geostatistics and GIS were effective tools for collecting data regarding the spatial variability of soil and crop indicators, identifying variation trends in the data, and assisting data interpretation to determine adequate management strategies.

Reliability Analysis of Earth Slopes Considering Spatial Variability

2015 ◽  
Vol 34 (1) ◽  
pp. 103-123 ◽  
Author(s):  
Subhadeep Metya ◽  
Gautam Bhattacharya
Keyword(s):  
Spatial Variability ◽  
Reliability Analysis ◽  
Earth Slopes
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