Predict three-dimensional soil manganese transport by HYDRUS-1D and spatial interpolation in Xiangtan manganese mine

2021 ◽  
Vol 292 ◽  
pp. 125879
Author(s):  
Xiyang Shi ◽  
Bozhi Ren
Keyword(s):  
Spatial Interpolation ◽  
Three Dimensional ◽  
Manganese Transport ◽  
Hydrus 1D

scholarly journals Summary on Several Key Techniques in 3D Geological Modeling

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Gang Mei
Keyword(s):  
Mesh Generation ◽  
Spatial Interpolation ◽  
Three Dimensional ◽  
Geological Modeling ◽  
3D Geological Modeling ◽  
Surface Intersection ◽  
Key Techniques

Several key techniques in 3D geological modeling including planar mesh generation, spatial interpolation, and surface intersection are summarized in this paper. Note that these techniques are generic and widely used in various applications but play a key role in 3D geological modeling. There are two essential procedures in 3D geological modeling: the first is the simulation of geological interfaces using geometric surfaces and the second is the building of geological objects by means of various geometric computations such as the intersection of surfaces. Discrete geometric surfaces that represent geological interfaces can be generated by creating planar meshes first and then spatially interpolating; those surfaces intersect and then form volumes that represent three-dimensional geological objects such as rock bodies. In this paper, the most commonly used algorithms of the key techniques in 3D geological modeling are summarized.

Three‐dimensional spatial interpolation of 2 m temperature over Norway

2018 ◽  
Vol 144 (711) ◽  
pp. 344-364 ◽  
Author(s):  
C. Lussana ◽  
O. E. Tveito ◽  
F. Uboldi
Keyword(s):  
Spatial Interpolation ◽  
Three Dimensional

Spatial interpolation of soil salinity and sodicity for a saline soil in Southern Alberta

1992 ◽  
Vol 72 (4) ◽  
pp. 503-516 ◽  
Author(s):  
Jacques Gallichand ◽  
Gary D. Buckland ◽  
Denis Marcotte ◽  
M. J. Hendry
Keyword(s):  
Soil Salinity ◽  
Spatial Interpolation ◽  
Moving Average ◽  
Three Dimensional ◽  
Data Representation ◽  
Absolute Difference ◽  
Sodium Absorption ◽  
Contour Maps ◽  
Sodium Absorption Ratio ◽  
Southern Alberta

Soil salinity and sodicity data are usually represented as contour maps based on spatially interpolated data. This study was conducted to assess two commonly used spatial interpolation methods (moving average and weighted moving average) and three forms of two-dimensional (2D) and three-dimensional (3D) kriging. Soil was sampled from two depths on a 25-m grid at 40 sites in a saline and sodic soil of Southern Alberta. Samples were analyzed for electrical conductivity (ECe) and sodium absorption ratio (SARe) of saturation paste extracts. Methods were compared by cross-validation using the mean absolute difference (MAD) between estimated and observed values. Values of MAD resulting from 3D kriging were inferior to those obtained from moving averages. Moving average methods were very sensitive to the number of neighbors used in the estimation. For kriging methods, however, precision remained stable for more than about 10–12 neighbors. Three-dimensional ordinary kriging was the most precise and robust interpolator with a MAD value of 9.74 dS m−1 for ECe. For SARe the lowest MAD value of 10.55 was obtained with 3D ordinary co-kriging. Data representation produced by 3D kriging allowed easy identification of ECe spatial structure. Key words: Spatial interpolation, kriging, moving average, soil, salinity, sodicity

scholarly journals A multiple linear regression GIS module using spatial variables to model orographic rainfall

2004 ◽  
Vol 6 (1) ◽  
pp. 39-56 ◽  
Author(s):  
S. Naoum ◽  
I. K. Tsanis
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Spatial Interpolation ◽  
Three Dimensional ◽  
Predictor Variables ◽  
Test Case ◽  
Linear Regression Method ◽  
Linear Regression Models ◽  
Orographic Rainfall ◽  
Interpolation Techniques

This paper aims to document the development of a new GIS-based spatial interpolation module that adopts a multiple linear regression technique. The functionality of the GIS module is illustrated through a test case represented by the island of Crete, Greece, where the models generated were applied to locations where estimates of annual precipitation were required. The response variable is ‘precipitation’ and the predictor variables are ‘elevation’, ‘longitude’ and ‘latitude’, or any combination of these. The module is capable of performing a sequence of tasks which will eventually lead to an estimation of mean areal precipitation and the total volume of precipitation. In addition, it can generate up to nine predictor variables and their parameters, and can estimate areal rainfall for a user-specified three-dimensional extent. The developed module performed satisfactorily. Precipitation estimates at ungauged locations were obtained using the multiple linear regression method in addition to some conventional spatial interpolation techniques (i.e. IDW, Spline, Kriging, etc.). The multiple linear regression models provided better estimates than the other spatial interpolation techniques.

A Three-Dimensional Euler Solver for Turbomachinery Blade Rows

1985 ◽  
Vol 107 (2) ◽  
pp. 258-264 ◽  
Author(s):  
D. G. Holmes ◽  
S. S. Tong
Keyword(s):  
Boundary Condition ◽  
Coordinate System ◽  
Centrifugal Compressor ◽  
Spatial Interpolation ◽  
Three Dimensional ◽  
Interpolation Scheme ◽  
Wall Boundary Condition ◽  
Absolute Flow ◽  
Euler Solver ◽  
Volume Method

This paper describes a three-dimensional Euler solver for turbomachinery blade rows. The algorithm used is based on the explicit, four-step, finite volume method advocated by Jameson. Some of the issues addressed include the spatial interpolation scheme compatible with the wall boundary condition; the appropriate interpolation scheme for correctly interpolating a uniform absolute flow in a rotating coordinate system; smoothing techniques that assure global conservation; and code vectorization. The Euler solver has been tested on turbine nozzles, turbine rotors, centrifugal compressor rotors, transonic fans, and propellers, in all cases without any modification to the code or any parameter adjustment.

The orbit of Pluto over a long interval of time

1966 ◽  
Vol 25 ◽  
pp. 227-229 ◽  
Author(s):  
D. Brouwer
Keyword(s):  
Periodic Orbit ◽  
Numerical Integration ◽  
Restricted Problem ◽  
Three Dimensional ◽  
The Third ◽  
Circular Restricted Problem ◽  
Resonance Relation

The paper presents a summary of the results obtained by C. J. Cohen and E. C. Hubbard, who established by numerical integration that a resonance relation exists between the orbits of Neptune and Pluto. The problem may be explored further by approximating the motion of Pluto by that of a particle with negligible mass in the three-dimensional (circular) restricted problem. The mass of Pluto and the eccentricity of Neptune's orbit are ignored in this approximation. Significant features of the problem appear to be the presence of two critical arguments and the possibility that the orbit may be related to a periodic orbit of the third kind.

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