Emanuele Barca
IRSA
54 Papers
120 Citations
Emanuele Barca is an academic researcher from IRSA. The author has contributed to research in topics: Environmental science & Kriging. The author has an hindex of 14, co-authored 47 publications. Previous affiliations of Emanuele Barca include National Research Council.
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Papers
A methodology for treating missing data applied to daily rainfall data in the Candelaro River Basin (Italy).
TL;DR: Four different regressive methods are applied and compared, in order to determine which is the most reliable for filling in the gaps, using rainfall data series measured in the Candelaro River Basin located in South Italy.
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Spatial evaluation of the risk of groundwater quality degradation. A comparison between disjunctive kriging and geostatistical simulation
TL;DR: A close examination of real case study results suggests that disjunctive kriging is more effective than simulation in estimating the spatial risk of groundwater quality degradation, as the latter tends to be smoothed by DK.
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Improving grey water footprint assessment: Accounting for uncertainty
TL;DR: In this article, a bootstrap technique coupled with Monte Carlo simulations was used to estimate the uncertainty of the grey water footprint due to the variability of the primary input data and the unknown natural background level of nutrients in the waters.
51
Recoverable and reusable aluminium solvated species used as a homogeneous catalyst for biodiesel production from brown grease
TL;DR: In this article, homogeneous aluminium species, obtained by dissolving AlCl 3 ·6H 2 O into methanol, were characterised and tested as catalysts into the direct esterification of free fatty acids with methanols.
44
Characterising the hydrological regime of an ungauged temporary river system: a case study
TL;DR: The methodology presented in this paper constitutes a useful tool for ecologists and water resource managers in the Water Framework Directive implementation process, which requires a characterisation of the hydrological regime and a ‘river type’ classification for all water bodies.
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