317 research outputs found

    Testing a climate erosive forcing model in the Po River Basin

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    Changes in the spatial and temporal features of precipitation patterns may have important effects on the magnitude and timing of erosive rainfalls, which will in turn result in changes in soil degradation response. This study presents a secular timescale environmental hazard assessment to account for the impacts of climate erosive forcing on an agricultural landscape identified as potentially vulnerable, mainly to erosional soil degradation processes. An empirical probabilistic model for temporal characterisation of this impact, termed CHIEF (Climate Hazard Index Erosive Forcing), was developed to evaluate the annual balance between climate driving and climate resisting forces in the Po River Basin (northern Italy) during the period 1775 to 2003. In the CHIEF approach, an ecological system adapted to the natural hydro-climatic regime was assumed; fluctuations in this regime, especially those exceeding thresholds of rainfall energy intensity, may trigger erosional soil degradation processes. In this way, the time sensitivity of the CHIEF model reflects the magnitude of annual input nested within patterns of long-term environmental change occurring within a specific temporal window, in order to capture different modes of climatic variability and their hydro-geomorphological implications

    Monthly erosive storm hazard within river basins of the Campania Region, Southern Italy.

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    Based on a parsimonious interpretation of rainstorm processes, the SISEM model – comparable with the Revised Universal Soil Loss Equation was developed in this work to generate erosivity mean values at different time aggregation scales (monthly, seasonal and yearly). Following this idea, erosive rainfalls are eligible to be grouped in some vulnerable periods of the year (e.g., cropping months or seasons), or for some particularly stormy interdecadal periods. The test area was conducted for the Campania Region and surrounding Italian areas, where 110 digital stations with sufficient data derived from Department of Civil Protection of Campania Region. The model was evaluated against (R)USLE estimates both on calibration and validation datasets using a range of R modules–based performance statistics. Results show that highly hazardous rainfall erosivity is expected in autumn season, with a more random occurrence in other periods of the year. Taking SISEM model very few and easy retrievable data into account, it is desirable to extend its use of sites without any pluviograph data for time and spatial interpolation purposes over peninsular Central and Southern Italy

    Deissi. Un possibile nesso linguistica-estetica-ontologia

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    The essay  concerns the relationship between aesthetics and onthology. It starts from the analysis of a particularity of the ordinary speech: the deixis. Shifters or indicators are personal and dimostrative pronouns  that means an entity presence in its quality of actus essendi. According to Roberto Diodato the strength of the deixis is particulary vivid in  the aesthetics experience. The author reaches this conclusion through the discussion with the most important philosophers who studied this subject

    Poesia e non poesia L'estetica crociana e la Commedia

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    L'estetica di Benedetto Croce e la Commedia di Dant

    The Dream of a Machine An Example of the Chiasmatic Image

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    The article develops an idea of chiasmatic image, interpreted here as a new entity that appears in the world thanks to new digital technology. Endowed with a grammar, this image-language implies a characteristic spectrality which affects the visible-invisible relationship and structures the modalities of fruition. Being an ontological hybrid, this new type of image realize the idea in image, the object in event, the artificial in living. This dream-like image, in this case an artwork by Anna Ridler dedicated to The Fall of the House of Usher, is the result of the interaction between GAN and the author and shows the priority of the category of relation in the relationships between human and artificial intelligence
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