Image sub-segmentation by PFCM and Artificial Neural Networks to detect pore space in 2D and 3D CT soil images

The image by Computed Tomography is a non-invasive alternative for observing soil structures, mainly pore space. The pore space correspond in soil data to empty or free space in the sense that no material is present there but only fluids, the fluid transport depend of pore spaces in soil, for this reason is important identify the regions that correspond to pore zones. In this paper we present a methodology in order to detect pore space and solid soil based on the synergy of the image processing, pattern recognition and artificial intelligence. The mathematical morphology is an image processing technique used for the purpose of image enhancement. In order to find pixels groups with a similar gray level intensity, or more or less homogeneous groups, a novel image sub-segmentation based on a Possibilistic Fuzzy c-Means (PFCM) clustering algorithm was used. The Artificial Neural Networks (ANNs) are very efficient for demanding large scale and generic pattern recognition applications for this reason finally a classifier based on artificial neural network is applied in order to classify soil images in two classes, pore space and solid soil respectively.

Comparative study of Fusarium communities from soil and rhizoplane of melon plants from tropical farming soils.

Fifty-nine rhizospheric soil samples from twenty different melon farms of Guatemala and Honduras were analysed to study the Fusarium species present in the soil and those developing on roots surfaces.

Diffuse Soil Co2 Flux To Assess The Reliability Of Co2 Storage In The Mazarrón-Gañuelas Tertiary Basin (Spain)

Geological storage of CO2 is nowadays internationally considered as the most effective method for greenhouse gas emission mitigation, in order to minimize its effects on the global climatology. One of the main options is to store the CO2 in deep saline aquifers at more than 800 m depth, because it achieves its supercritical state. Among the most important aspects concerning the performance assessment of a deep CO2 geological repository is the evaluation of the CO2 leakage rate from the chosen storage geological formation. Therefore, it is absolutely necessary to increase the knowledge on the interaction among CO2, storage and sealing formations, as well as on the flow paths for CO2 and the physico-mechanical resistance of the sealing formation. Furthermore, the quantification of the CO2 leakage rate is essential to evaluate its effects on the environment. One way to achieve this objective is to study of CO2 leakage on natural analogue systems, because they can provide useful information about the natural performance of the CO2, which can be applied to an artificial CO2 geological storage. This work is focused on the retention capacity of the cap-rock by measuring the diffuse soil CO2 flux in a site selected based on: i) the presence of a natural and deep CO2 accumulation; ii) its structural geological characteristics; and iii) the nature of the cap-rocks. This site is located in the so-called Mazarrón-Gañuelas Tertiary Basin, in the Guadalentin Valley, province of Murcia (Spain) Therefore the main objective of this investigation has been to detect the possible leakages of CO2 from a deep saline aquifer to the surface in order to understand the capability of this area as a natural analogue for Carbon Capture and Sequestration (CCS). The results obtained allow to conclude that the geological sealing formation of the basin seems to be appropriate to avoid CO2 leakages from the storage formation.

Regional and seasonal patterns of litterfall in tropical South America

The production of aboveground soft tissue represents an important share of total net primary production in tropical rain forests. Here we draw from a large number of published and unpublished datasets (n = 81 sites) to assess the determinants of litterfall variation across South American tropical forests. We show that across old-growth tropical rainforests, litterfall averages 8.61±1.91Mgha?1 yr?1 (mean±standard deviation, in dry mass units). Secondary forests have a lower annual litterfall than old-growth tropical forests with a mean of 8.01±3.41Mgha?1 yr?1. Annual litterfall shows no significant variation with total annual rainfall, either globally or within forest types. It does not vary consistently with soil type, except in the poorest soils (white sand soils), where litterfall is significantly lower than in other soil types (5.42±1.91Mgha?1 yr?1). We also study the determinants of litterfall seasonality, and find that it does not depend on annual rainfall or on soil type. However, litterfall seasonality is significantly positively correlated with rainfall seasonality. Finally, we assess how much carbon is stored in reproductive organs relative to photosynthetic organs. Mean leaf fall is 5.74±1.83Mgha?1 yr?1 (71% of total litterfall). Mean allocation into reproductive organs is 0.69±0.40Mgha?1 yr?1 (9% of total litterfall). The investment into reproductive organs divided by leaf litterfall increases with soil fertility, suggesting that on poor soils, the allocation to photosynthetic organs is prioritized over that to reproduction. Finally, we discuss the ecological and biogeochemical implications of these results.

Análisis de la técnica de recarga artificial en la Cubeta de Sant Andreu de la Barca (Barcelona)

El presente proyecto pretende mostrar las posibilidades de la recarga artificial como elemento de gestión de los recursos de agua subterránea del acuífero aluvial del río Llobregat, en su sector de la Cubeta de Sant Andreu de la Barca (Barcelona), el cual es fuente de abastecimiento urbano, agrícola e industrial del entorno de Sant Andreu de la Barca. Igualmente, se revisa la efectividad de la aplicación de dicha técnica que se practica actualmente. Hace años, las condiciones naturales del río hacían posible la recarga natural de la Cubeta, pero la implantación de industrias en la zona y la regulación mediante la presa de La Baells desde el año 1976, han originado cambios en el comportamiento natural del acuífero, que se han manifestado básicamente en una disminución de la recarga natural como consecuencia de la impermeabilización de los suelos originada por la urbanización de los mismos. Se ha producido también un fenómeno de colmatación del lecho del río, al dificultarse la removilización de los materiales finos depositados en el fondo del cauce, produciendo también una disminución de la recarga al acuífero a través del lecho. Por último, la mayor demanda de suministro por parte del sector industrial ha influido negativamente en el almacenamiento del acuífero. Desde hace décadas, se lleva efectuando una recarga artificial en el lecho del río para tratar de paliar en lo posible estos efectos perjudiciales. La misma se efectúa mediante dos sistemas distintos: escarificando el lecho del río para aumentar su capacidad de infiltración, y mediante la utilización de balsas de recarga, a través de las cuales se infiltra el agua en el acuífero. El objetivo de este proyecto es analizar el efecto actual que la recarga mediante balsas está teniendo sobre el acuífero. Para ello, se utilizarán, entre otras técnicas, la elaboración de un modelo matemático con el que poder simular el efecto de la recarga. VIII ABSTRACT This project aims to show the possibilities of artificial recharge as groundwater resources management element in the alluvial aquifer of the Llobregat River, in the sector of the Basin of Sant Andreu de la Barca (Barcelona), which is a source of urban, agricultural and industrial supply of the Sant Andreu de la Barca area. Too, the effectiveness of the current implementation of this technique is reviewed. Years ago, natural river conditions made possible the natural recharge of the aquifer, but the establishment of industries in the area and the river regulation by the la Baells dam since 1976, have led to changes in the natural behavior of the aquifer, which basically are a decrease in natural recharge, because the soil has become impervious, due to land urbanization. There has been also a phenomenon of clogging of the river bed, caused by the difficult in the remobilization of fine materials deposited on the river bed, which has produced a decrease in the groundwater recharge through the river. Finally, the increase in water demand by the industrial sector, has diminished aquifer storage. For decades, artificial recharge in the river bed has been practiced to alleviate negative effects. It is done by two different systems: scratching the river bed to increase its infiltration capacity, and using recharge ponds, through which water infiltrates into the aquifer. The objective of this project is to analyze the current effect that recharge by ponds is having in the aquifer. Among other techniques, mathematical modeling has been used for simulating the effect of artificial recharge in the aquifer.

Computer simulation of random parckings for self-similar particle size distributions in soil and granular materials: porosity and pore size distribution

A 2D computer simulation method of random packings is applied to sets of particles generated by a self-similar uniparametric model for particle size distributions (PSDs) in granular media. The parameter p which controls the model is the proportion of mass of particles corresponding to the left half of the normalized size interval [0,1]. First the influence on the total porosity of the parameter p is analyzed and interpreted. It is shown that such parameter, and the fractal exponent of the associated power scaling, are efficient packing parameters, but this last one is not in the way predicted in a former published work addressing an analogous research in artificial granular materials. The total porosity reaches the minimum value for p = 0.6. Limited information on the pore size distribution is obtained from the packing simulations and by means of morphological analysis methods. Results show that the range of pore sizes increases for decreasing values of p showing also different shape in the volume pore size distribution. Further research including simulations with a greater number of particles and image resolution are required to obtain finer results on the hierarchical structure of pore space.