A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Applications of Complex Network Models to Describe Soil Porous Systems
Network science has been successful in describing and exploring the structure of complex systems over the last decade. However, only recently have the concepts of network theory been applied to complex arrangement of pores in soils. Here, we present and compare two complex network models of soil pore structure after first giving a short overview of the network theory. We show that both models point to a scale‐free network organization of soil pore space and can be related to the network properties of soil structure given by the image analysis of images of soil structure obtained from scanning undisturbed soil cores using X‐ray computed tomography. Furthermore, we show that binary images generated by network growth mechanism simulating soil structure statistically resemble images collected from the undisturbed soil samples. Using the relationship between the network structure and the spatial correlation properties of the soil pore structure, we discuss the possible implications of network theory applications to understand soil biophysical functioning such as self‐organization of soil habitats.
Applications of Complex Network Models to Describe Soil Porous Systems
Network science has been successful in describing and exploring the structure of complex systems over the last decade. However, only recently have the concepts of network theory been applied to complex arrangement of pores in soils. Here, we present and compare two complex network models of soil pore structure after first giving a short overview of the network theory. We show that both models point to a scale‐free network organization of soil pore space and can be related to the network properties of soil structure given by the image analysis of images of soil structure obtained from scanning undisturbed soil cores using X‐ray computed tomography. Furthermore, we show that binary images generated by network growth mechanism simulating soil structure statistically resemble images collected from the undisturbed soil samples. Using the relationship between the network structure and the spatial correlation properties of the soil pore structure, we discuss the possible implications of network theory applications to understand soil biophysical functioning such as self‐organization of soil habitats.
Applications of Complex Network Models to Describe Soil Porous Systems
Logsdon, Sally (editor) / Berli, Markus (editor) / Horn, Rainer (editor) / Korošak, Dean (author) / Mooney, Sacha Jon (author)
2013-03-15
18 pages
Article/Chapter (Book)
Electronic Resource
English
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