1,721,015 research outputs found
The alluvial events in the last two centuries at Sarno, Southern Italy: their classification and power-law time-occurrence
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The alluvial events in the last two centuries at Sarno, Southern Italy: their classification and power-law time-occurrence
No full textTesting a climate erosive forcing model in the Po River Basin
No full textChanges 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.
No full textBased 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
LE ALLUVIONI E LE LEGGI INVARIANTI DI SCALA: UNA APPLICAZIONE ALLA MEDIA VALLE DEL CALORE BENEVENTANO
No full textGeospatial and visual modeling for exploring sediment source areas across the Sele River landscape, Italy
No full textThis study uses the revised universal soil loss equation (RUSLE)
and Geographic Information System technology to map erosion-prone areas in the Sele basin (Campania-Basilicata regions, southern Italy).
Current land use/cover, soil erodibility and climate factors were evaluated to determine their effects on average annual soil loss. Geospatial technologies were applied to generate RUSLE factors and erosion map.
Long-term soil losses were 53 Mg ha–1 per year averaged over an area of 2500 km2 and more than 30% of the Sele basin was subjected to soil losses higher than 20 Mg ha–1 per year. Data available in the study area allowed to estimate soil losses, but the absence of direct sediment measurements prevents an accurate evaluation of the model performance.
Nevertheless, the results are similar to the ones from other studies, and provide useful preliminary information for landscape management and restoration
CliFERM – Climate Forcing and Erosion Response Modelling at Long-Term Sele River Research Basin (Southern Italy).
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