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Using pore space 3D geometrical modelling to simulate biological activity: Impact of soil structure
Authors:Olivier Monga, Mamadou Bousso, Patricia Garnier,Val  rie Pot
Affiliation:aIRD, Laboratoire MAT (UCAD2/IRD), UR GEODES, Centre IRD de Dakar, BP 1386, CP 18524 Dakar, Senegal;bINRA, Centre de Grignon, UMR Environnement et Grandes Cultures, BP 01, 78850 Thiverval-Grignon, France
Abstract:This study is the follow-up to a previous one devoted to soil pore space modelling. In the previous study, we proposed algorithms to represent soil pore space by means of optimal piecewise approximation using simple 3D geometrical primitives: balls, cylinders, cones, etc. In the present study, we use the ball-based piecewise approximation to simulate biological activity. The basic idea for modelling pore space consists in representing pore space using a minimal set of maximal balls (Delaunay spheres) recovering the shape skeleton. In this representation, each ball is considered as a maximal local cavity corresponding to the “intuitive” notion of a pore as described in the literature. The space segmentation induced by the network of balls (pores) is then used to spatialise biological dynamics. Organic matter and microbial decomposers are distributed within the balls (pores). A valuated graph representing the pore network, organic matter and microorganism distribution is then defined. Microbial soil organic matter decomposition is simulated by updating this valuated graph. The method has been implemented and tested on real data. As far as we know, this approach is the first one to formally link pore space geometry and biological dynamics. The long-term goal is to define geometrical typologies of pore space shape that can be attached to specific biological dynamic properties. This paper is a first attempt to achieve this goal.
Keywords:3D computer vision   Biological dynamics simulation   Computed tomography   Computational geometry   Microbial decomposition   Pore space modelling
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