1,721,194 research outputs found
Estimation of rainfall erosivity in Piedmont (Northwestern Italy) by using 10-minute fixed-interval rainfall data
Full text linkRainfall erosivity index (EI30) is widely used in soil erosion models for
predicting soil loss. This index consists in the product between the maximum intensity of
30-min rainfall and the total kinetic energy of a precipitation event. The main goal of this
study was to characterize the soil erosion in Piedmont (Northwestern Italy), studying the
magnitude, frequency, and trends of rainfall erosivity. Rainfall erosivity for twelve stations
well distributed over the whole region were firstly computed on the basis of 10-min timeresolution
rainfall data using a continuous 17-year series of daily rainfall events. For each
station the equation to predict EI30 from daily rainfall data was calculated, and, using the
Nash and Sutcliffe (1970) model-efficiency, the relationships between real EI30 and
modeled EI30 was validated. The rainfall erosivity model was applied to the long term daily
rainfall series of the selected stations, to create annual and seasonal erosivity time series
for the climate normal period 1986–2015. Afterwards, the Mann–Kendall non-parametric
test statistic to detect time trends in the rainfall erosivity time series was applied. The
results have led to the conclusion that the annual rainfall erosivity should have experienced
mixed trends in most of the study area, although more than half of the stations did not
show a statistical trend
SNOW-AVALANCHE AND CLIMATIC CONDITIONS IN THE LIGURIAN SKI RESORTS (NW-ITALY)
Full text linkLiguria Region is characterized by a 240 km-long coastal arc, and a largely mountainous territory. Consequently, its characteristic and famous Mediterranean-type climate is far from being uniform. Climatic diversity of Liguria reflects some fundamental morphological factors, such as southern exposures and the presence of a major mountain ridge with suitable climatic conditions for winter sports. Nevertheless, the permanence and stability of snow on the ground is related to local factors, such as the prevalent southern aspect, slope steepness, air temperature and wind intensity. The highest Ligurian peak is the Saccarello Mount (2200 m) at the borders with Piemonte and the French Department of the Alpes Maritimes, while the highest mountain in the Ligurian Apennines is the Maggiorasca Mount (1804 m). Near these areas there are two "historical" ski resorts established in the mid-60s: Santo Stefano d'Aveto, bordering the ski areas of Emilia-Romagna, and Monesi di Triora to the West, in the province of Imperia; both resorts have been subject to significant investment in the development of tourist activities and accommodation. The unique climatic conditions of Liguria and the established trends in climate require careful assessment of avalanche hazard, considering the increased flow of tourists and the poor perception of the associated risk in a region traditionally linked to "marine" leisure activities. During 2011, an avalanche in Santo Stefano d'Aveto caused the loss of a human life. The paper presents a preliminary contribution aimed at assessing avalanche susceptibility in the two ski areas of Liguria: starting from the analysis of historical avalanches, several parameters have been analyzed, such as hazardous nature of the terrain, the weather and snow conditions and the interaction with human activities and infrastructures
First results from the COST-HOME monthly benchmark dataset with temperature and precipitation data for testing homogenisation algorithms
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First results from the COST-HOME monthly benchmark dataset with temperature and precipitation data for testing homogenisation algorithms
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On the snow precipitation variability inWestern Alps and its links to large scale forcings
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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