2019
DOI: 10.3389/fenvs.2019.00193
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Communicating Hydrological Hazard-Prone Areas in Italy With Geospatial Probability Maps

Abstract: The recurrence of storm aggressiveness and the associated erosivity density are detrimental hydrological features for soil conservation and planning. The present work illustrates for the first time downscaled spatial pattern probabilities of erosive density to identify damaging hydrological hazard-prone areas in Italy. The hydrological hazard was estimated from the erosivity density exceeded the threshold of 3 MJ ha −1 h −1 at 219 rain gauges in Italy during the three most erosive months of the year, from Augu… Show more

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Cited by 16 publications
(12 citation statements)
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References 60 publications
(63 reference statements)
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“…However, the attribution of extreme erosive events associated with floods and heavy rains to climate change signals remains uncertain, not the least due to the high spatial variability and long-term unpredictability of these events 74 . As aggressive precipitation becomes more frequent with global warming 75 , climate hazards may already have become more changeable and unpredictable on a small scale in disaster-affected areas of the central Mediterranean 76 . Gentilucci 77 also showed a trend towards more extreme rainfall events in central Italy during the 1961–2017 period.…”
Section: Resultsmentioning
confidence: 99%
“…However, the attribution of extreme erosive events associated with floods and heavy rains to climate change signals remains uncertain, not the least due to the high spatial variability and long-term unpredictability of these events 74 . As aggressive precipitation becomes more frequent with global warming 75 , climate hazards may already have become more changeable and unpredictable on a small scale in disaster-affected areas of the central Mediterranean 76 . Gentilucci 77 also showed a trend towards more extreme rainfall events in central Italy during the 1961–2017 period.…”
Section: Resultsmentioning
confidence: 99%
“…We have analyzed the erosivity density (ED, MJ hm −2 h −1 ), which measures the erosivity per rainfall unit and is a better indicator of the erosive hazard than rainfall erosivity (Glur et al, 2013;Diodato et al, 2019a). We addressed this issue by examining the estimated ED time-series since 1891, as it is only from this year that high-quality, well-documented, and homogeneous annual rainfall records are available for the ARB.…”
Section: )mentioning
confidence: 99%
“…In the absence of such detailed rainfall information, rainfall variability and its linkage to atmospheric pressure systems can be inferred from meteorological observations available for the Mediterranean region over the twentieth century 24 and even earlier back to mid-seventeenth century on a restricted regional basis 25 , but also from time-series of millennium-long hydrological extremes derived from documentary sources 26 . Long series derived from documentary data can help linking local and regional hydrological extremes to impacts 27 , assess climatic forcing features 28 , and recognise the climatic variability in hazard-exposed areas 29 , 30 . Their analysis supports that climate can vary in response to natural processes such as those governing the occurrence of erosive rainfall and, thus, help us to understand present-day hydrological dynamics and improve projections of future changes 31 .…”
Section: Introductionmentioning
confidence: 99%