8 resultados para chalcopyrite leaching
em Universidad Polit
Resumo:
Recent research has discovered high-grade Au ores in NNE-SSW trending shear zones in metamorphic proterozoic and palaeozoic terranes, some 40 km NW of Santiago de Compostela (NW Spain). The orebodies are bound to late-stage Hercynian structures, mainly due to brittle deformation, which are superimposed on earlier ductile shear zones, cutting through various catazonal lithologies, including ortho- and paragneisses, amphibolites, eclogites, and granites. Ore mineralogy, alteration, and ore textures define a frame whose main features are common to all prospects in the area. Main minerals are arsenopyrite and pyrite - accompanied by quartz, adularia, sericite, + (tourmaline, chlorite, carbonates, graphite), as main gangue minerals - with subordinate amounts of boulangerite, bismuthinite, kobellite, jamesonite, chalcopyrite, marcasite, galena, sphalerite, rutile, titanite, scheelite, beryl, fluorite, and minor native gold, electrum, native bismuth, fahlore, pyrrhotite, mackinawite, etc., defining a meso-catathermal paragenesis. Detailed microscopic study allows the author to propose a general descriptive scheme of textural classification for this type of ore. Most of the ores fill open spaces or veins, seal cracks or cement breccias; disseminated ores with replacement features related to alteration (mainly silicification, sericitization, and adularization) are also observed. Intensive and repeated cataclasis is a common feature of many ores, suggesting successive events of brittle deformation, hydrothermal flow, and ore precipitation. Gold may be transported and accumulated in any of these events, but tends to be concentrated in later ones. The origin of the gold ores is explained in terms of hydrotherreal discharge, associated with mainly brittle deformation and possibly related to granitic magmas, in the global tectonic frame of crustal evolution of West Galicia. The mineralogical and textural study suggests some criteria which will be of practical value for exploration and for ore processing. Ore grades can be improved by flotation of arsenopyrite. Non-conventional methods, such as pressure or bacterial leaching, may subsequently obtain a residue enriched in gold.
Resumo:
In irrigated areas where cover crop establishment can be assured, consequent soil or nutrient conservation could increase sustainability of cropping systems. Replacing bare fallow with cover crops may increase sustainability by enhancing soil aggregate stability, water retention capacity or controlling nitrate leaching. Nevertheless, adoption of cover crops increase evapotranspiration and reduce water percolation beyond the root systems; therefore, it could lead to salt accumulation in the upper soil layers. This study was conducted during four years to determine the effect of replacing bare fallow by a cover crop on soil salt accumulation and salt leaching in an irrigated maize production system.
Resumo:
Soil salinity and salt leaching are a risk for sustainable agricultural production in many irrigated areas. This study was conducted over 3.5 years to determine how replacing the usual winter fallow with a cover crop (CC) affects soil salt accumulation and salt leaching in irrigated systems. Treatments studied during the period between summer crops were: barley (Hordeum vulgare L.), vetch (Vicia villosa L.) and fallow. Soil water content was monitored daily to a depth of 1.3 m and used with the numerical model WAVE to calculate drainage. Electrical conductivity (EC) was measured in soil solutions periodically, and in the soil saturated paste extracts before sowing CC and maize. Salt leaching was calculated multiplying drainage by total dissolved salts in the soil solution, and use to obtain a salt balance. Total salt leaching over the four winter fallow periods was 26 Mg ha−1, whereas less than 18 Mg ha−1 in the presence of a CC. Periods of salt gain occurred more often in the CC than in the fallow. By the end of the experiment, net salt losses occurred in all treatments, owing to occasional periods of heavy rainfall. The CC were more prone than the fallow to reduce soil salt accumulation during the early growth stages of the subsequent cash crop.
Resumo:
Soil salinity and salt leaching are a risk for sustainable agricultural production in many irrigated areas. This study was conducted over 3.5 years to determine how replacing the usual winter fallow with a cover crop (CC) affects soil salt accumulation and salt leaching in irrigated systems. Treatments studied during the period between summer crops were: barley (Hordeum vulgare L.), vetch (Vicia villosa L.) and fallow. Soil water content was monitored daily to a depth of 1.3 m and used with the numerical model WAVE to calculate drainage. Electrical conductivity (EC) was measured in soil solutions periodically, and in the soil saturated paste extracts before sowing CC and maize. Salt leaching was calculated multiplying drainage by total dissolved salts in the soil solution, and use to obtain a salt balance. Total salt leaching over the four winter fallow periods was 26 Mg ha−1, whereas less than 18 Mg ha−1 in the presence of a CC. Periods of salt gain occurred more often in the CC than in the fallow. By the end of the experiment, net salt losses occurred in all treatments, owing to occasional periods of heavy rainfall. The CC were more prone than the fallow to reduce soil salt accumulation during the early growth stages of the subsequent cash crop.
Resumo:
La mineralogía de procesos se ha convertido en los últimos años en una herramienta indispensable dentro del ámbito minero-metalúrgico debido fundamentalmente a la emergencia de la Geometalurgia. Esta disciplina en auge, a través de la integración de datos geológicos, mineros y metalúrgicos, proporciona la información necesaria para que el circuito de concentración mineral pueda responder de manera rápida y eficaz a la variabilidad mineralógica inherente a la geología del yacimiento. Para la generación del modelo geometalúrgico, la mineralogía de procesos debe aportar datos cuantitativos sobre los rasgos mineralógicos influyentes en el comportamiento de los minerales y para ello se apoya en el uso de sistemas de análisis mineralógico automatizado. Estos sistemas son capaces de proporcionar gran cantidad de datos mineralógicos de manera rápida y precisa. Sin embargo, cuando se trata de la caracterización de la textura, el mineralogista debe recurrir a descripciones cualitativas basadas en la observación, ya que los sistemas actuales no ofrecen información textural automatizada. Esta tesis doctoral surge precisamente para proporcionar de manera sistemática información textural relevante para los procesos de concentración mineral. La tesis tiene como objetivo principal la identificación y caracterización del tipo de intercrecimiento que un determinado mineral presenta en las partículas minerales, e inicialmente se han tenido en cuenta los siete tipos de intercrecimiento considerados como los más relevantes bajo el punto de vista del comportamiento de las partículas minerales durante flotación, lixiviación y molienda. Para alcanzar este objetivo se ha desarrollado una metodología basada en el diseño y cálculo de una serie de índices numéricos, a los que se ha llamado índices mineralúrgicos, que cumplen una doble función: por un lado, cada índice aporta información relevante para caracterizar los principales rasgos mineralógicos que gobiernan el comportamiento de las partículas minerales a lo largo de los procesos de concentración y por otro lado, estos índices sirven como variables discriminantes para identificar el tipo de intercrecimiento mineral mediante la aplicación de Análisis Discriminante. Dentro del conjunto de índices propuestos en este trabajo, se han considerado algunos índices propuestos por otros autores para su aplicación tanto en el ámbito de la mineralogía como en otros ámbitos de la ciencia de materiales. Se trata del Índice de Contigüidad (Gurland, 1958), Índice de Intercrecimiento (Amstutz y Giger, 1972) e Índice de Coordinación (Jeulin, 1981), adaptados en este caso para el análisis de partículas minerales. El diseño de los índices se ha basado en los principios básicos de la Estereología y el análisis digital de imagen, y su cálculo se ha llevado a cabo aplicando el método de interceptos lineales mediante la programación en MATLAB de varias rutinas. Este método estereológico permite recoger una serie de medidas a partir de las que es posible calcular varios parámetros, tanto estereológicos como geométricos, que han servido de base para calcular los índices mineralúrgicos. Para evaluar la capacidad discriminatoria de los índices mineralúrgicos se han seleccionado 200 casos en los que se puede reconocer de manera clara alguno de los siete tipos de intercrecimiento considerados inicialmente en este trabajo. Para cada uno de estos casos se han calculado los índices mineralúrgicos y se ha aplicado Análisis Discriminante, obteniendo un porcentaje de acierto en la clasificación del 95%. Esta cifra indica que los índices propuestos son discriminadores fiables del tipo de intercrecimiento. Una vez probada la capacidad discriminatoria de los índices, la metodología desarrollada ha sido aplicada para caracterizar una muestra de un concentrado de cobre procedente de la mina Kansanshi (Zambia). Esta caracterización se ha llevado a cabo para obtener la distribución de calcopirita según su tipo de intercrecimiento. La utilidad de esta distribución ha sido analizada bajo diferentes puntos de vista y en todos ellos los índices mineralúrgicos aportan información valiosa para caracterizar el comportamiento mineralúrgico de las partículas minerales. Los resultados derivados tanto del Análisis Discriminante como de la caracterización del concentrado de Kansanshi muestran la fiabilidad, utilidad y versatilidad de la metodología desarrollada, por lo que su integración como herramienta rutinaria en los sistemas actuales de análisis mineralógico pondría a disposición del mineralurgista gran cantidad de información textural complementaria a la información ofrecida por las técnicas actuales de caracterización mineralógica. ABSTRACT Process mineralogy has become in the last decades an essential tool in the mining and metallurgical sphere, especially driven by the emergence of Geometallurgy. This emergent discipline provides required information to efficiently tailor the circuit performance to the mineralogical variability inherent to ore deposits. To contribute to the Geometallurgical model, process mineralogy must provide quantitative data about the main mineralogical features implied in the minerallurgical behaviour of minerals. To address this characterisation, process mineralogy relies on automated systems. These systems are capable of providing a large amount of data quickly and accurately. However, when it comes to the characterisation of texture, mineralogists need to turn to qualitative descriptions based on observation, due to the fact that current systems can not offer quantitative textural information in a routine way. Aiming at the automated characterisation of textural information, this doctoral thesis arises to provide textural information relevant for concentration processes in a systematic way. The main objective of the thesis is the automated identification and characterisation of intergrowth types in mineral particles. Initially, the seven intergrowth types most relevant for flotation, leaching and grinding are considered. To achieve this goal, a methodology has been developed based on the computation of a set of numerical indices, which have been called minerallurgical indices. These indices have been designed with two main purposes: on the one hand, each index provides information to characterise the main mineralogical features which determine particle behaviour during concentration processes and, on the other hand, these indices are used as discriminant variables for identifying the intergrowth type by Discriminant Analysis. Along with the indices developed in this work, three indices proposed by other authors belonging to different fields of materials science have been also considered after being adapted to the analysis of mineral particles. These indices are Contiguity Index (Gurland, 1958), Intergrowth Index (Amstutz and Giger, 1972) and Coordination Index (Jeulin, 1981). The design of minerallurgical indices is based on the fundamental principles of Stereology and Digital Image Analysis. Their computation has been carried out using the linear intercepts method, implemented by means of MATLAB programming. This stereological method provides a set of measurements to obtain several parameters, both stereological and geometric. Based on these parameters, minerallurgical indices have been computed. For the assessment of the discriminant capacity of the developed indices, 200 cases have been selected according to their internal structure, so that one of the seven intergrowth types initially considered in this work can be easily recognised in any of their constituents. Minerallurgical indices have been computed for each case and used as discriminant variables. After applying discriminant analysis, 95% of the cases were correctly classified. This result shows that the proposed indices are reliable identifiers of intergrowth type. Once the discriminant power of the indices has been assessed, the developed methodology has been applied to characterise a copper concentrate sample from the Kansanshi copper mine (Zambia). This characterisation has been carried out to quantify the distribution of chalcopyrite with respect to intergrowth types. Different examples of the application of this distribution have been given to test the usefulness of the method. In all of them, the proposed indices provide valuable information to characterise the minerallurgical behaviour of mineral particles. Results derived from both Discriminant Analysis and the characterisation of the Kansanshi concentrate show the reliability, usefulness and versatility of the developed methodology. Therefore, its integration as a routine tool in current systems of automated mineralogical analysis should make available for minerallurgists a great deal of complementary information to treat the ore more efficiently.
Resumo:
Nitrate leaching (NL) is an important N loss process in irrigated agriculture that imposes a cost on the farmer and the environment. A meta-analysis of published experimental results from agricultural irrigated systems was conducted to identify those strategies that have proven effective at reducing NL and to quantify the scale of reduction that can be achieved. Forty-four scientific articles were identified which investigated four main strategies (water and fertilizer management, use of cover crops and fertilizer technology) creating a database with 279 observations on NL and 166 on crop yield. Management practices that adjust water application to crop needs reduced NL by a mean of 80% without a reduction in crop yield. Improved fertilizer management reduced NL by 40%, and the best relationship between yield and NL was obtained when applying the recommended fertilizer rate. Replacing a fallow with a non-legume cover crop reduced NL by 50% while using a legume did not have any effect on NL. Improved fertilizer technology also decreased NL but was the least effective of the selected strategies. The risk of nitrate leaching from irrigated systems is high, but optimum management practices may mitigate this risk and maintain crop yields while enhancing environmental sustainability.
Resumo:
Introducing cover crops (CC) interspersed with intensively fertilized crops in rotation has the potential to reduce nitrate leaching. This paper evaluates various strategies involving CC between maize and compares the economic and environmental results with respect to a typical maize?fallow rotation. The comparison is performed through stochastic (Monte-Carlo) simulation models of farms? profits using probability distribution functions (pdfs) of yield and N fertilizer saving fitted with data collected from various field trials and pdfs of crop prices and the cost of fertilizer fitted from statistical sources. Stochastic dominance relationships are obtained to rank the most profitable strategies from a farm financial perspective. A two-criterion comparison scheme is proposed to rank alternative strategies based on farm profit and nitrate leaching levels, taking the baseline scenario as the maize?fallow rotation. The results show that when CC biomass is sold as forage instead of keeping it in the soil, greater profit and less leaching of nitrates are achieved than in the baseline scenario. While the fertilizer saving will be lower if CC is sold than if it is kept in the soil, the revenue obtained from the sale of the CC compensates for the reduced fertilizer savings. The results show that CC would perhaps provide a double dividend of greater profit and reduced nitrate leaching in intensive irrigated cropping systems in Mediterranean regions.
Resumo:
New European directives have proposed the direct application of compost and digestate produced from municipal solid wastes as organic matter sources in agricultural soils. Therefore information about phosphorus leaching from these residues when they are applied to the soil is increasingly mportant. Leaching experiments were conducted to determine the P mobility in compost and digestate mixtures, supplying equivalent amounts to 100 kg P ha?1 to three different types of soils. The tests were performed in accordance with CEN/TS 14405:2004 analyzing the maximum dissolved reactive P and the kinetic rate in the leachate. P biowaste fractionation indicated that digestate has a higher level of available P than compost has. In contrast, P losses in leaching experiments with soil-compost mixtureswere higher than in soil-digestate mixtures. For bothwastes, therewas no correlation between disolved reactive P lost and the water soluble P.The interaction between soil and waste, the long experimentation time, and the volume of leachate obtained caused the waste?s wettability to become an influential parameter in P leaching behavior. The overall conclusion is that kinetic data analysis provides valuable information concerning the sorption mechanism that can be used for predicting the large-scale behavior of soil systems.