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Effects of salinity and pH on the spectral induced polarization signals of graphite particles
SUMMARY
The electrical property of micrometre-sized graphite particles was investigated under different particle concentration, particle size, fluid conductivity and pH conditions. Due to its large internal electronic conductivity and ability to polarize under external potential field, significant enhancement of its spectral induced polarization (SIP) responses is observed when graphite is included in sand mixtures. While a small amount of graphite inclusion significantly increases the SIP response of its mixtures with sand, further concentration increase does not necessarily lead to a proportional increase of the SIP response. This is shown to be related to the formation of graphite aggregates at higher concentrations. Changes of fluid salinity have a significant effect on graphite's SIP behaviour. This includes a positive impact on normalized chargeability and imaginary conductivity, but a negative impact on chargeability and relaxation time constant. The effect of pH on the SIP response of graphite is small but shows consistent trend, where pH increase leads to a decrease of both the chargeability and relaxation time constant. The underlying cause of this effect is not clear
Analisi EBSD di fasi intermetalliche e delle tessiture in una lega di alluminio rivestita di rame mediante cladding,
Monitoring soil compaction during a controlled irrigation experiment using multiple hydrogeophysical data
Three-dimensional distribution of anatectic melt inclusions in garnets by X-ray micro-tomography
Multi-methodological characterisation of calcium phosphate in late-Antique glass mosaic tesserae
Riassunto presentato al Convegno internazionale TECHNART2015 "Non-destructive and microanalytical techniques in art and cultural heritage", Catania, 27-30 aprile 2015
Uncovering soil compaction: performance of electrical and electromagnetic geophysical methods
ERT and EMI Characterization of the Spatiotemporal Variability of Agricultural and Forest Soils: Some Common Methodological Issues
The interplay between water dynamics and soil characteristics underpins the functioning and resilience of the soil-plant-atmosphere continuum, but also leads to complex spatiotemporal variability. This variability challenges mapping and monitoring methodologies, ultimately hindering the definition of more effective management practices. Hence, informing the development of effective management practices has become a multidisciplinary and multi-methodological effort. Among geophysical methods, electrical resistivity tomography (ERT) and electromagnetic induction (EMI) have been increasingly used for their sensitivity to water and soil texture changes, as well as for their capability to provide spatially extensive information and noninvasive monitoring. We present some common ERT and EMI survey designs in hydrological and agricultural applications, reviewing their potential and highlighting some key limitations. We first consider the use of ERT time-lapse measurements during irrigation tests, which allows the decoupling of static soil properties and water dynamics, but also requires a careful survey design to achieve the right trade-off of spatial and temporal resolutions and guarantee reliable results. We then present the use of EMI to map the irrigation and evapotranspiration dynamics in orchards, where the strong spatial variability and anisotropy challenge EMI high-resolution surveys and quantitative interpretations. This study reviews how the characteristics of the methods are reflected in their common usage, but also possible pitfalls
Use of electron backscatter diffraction (EBSD) for the characterization of ancient metallic artifacts: a preliminary investigation on bronze finds from Frattesina
Riassunto presentato al V Forum italiano di Scienze della Terra, Geoitalia 2005, Spoleto, 21-23 settembre 2005
INVESTIGATION OF STRUCTURE AND MECHANICAL PROPERTIES OF MULTI LAYERED AL/NI COMPOSITE PRODUCED BY ACCUMULATIVE ROLL BONDING (ARB) PROCESS,
Advanced Potential Field Analysis Applied to Mise‐à‐la‐Masse Surveys for Leakage Detection
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