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Daily rainfall series analysis is crucial both for engineering design purposes, freshwater management and it currently used in various types of agriculture management models to evaluate the associated drought risk. More recently the studies of daily rainfall events are used to investigate changes in rainfall occurrence. A basic approach to accomplish this aim is to identify the magnitude of the events and regroup them into categories. Some studies in literature proposed a classification of daily rainfall events based on single thresholds, which are commonly defined for quite large areas. Because the location and seasonality are recognized to be influencing factors for particular precipitation regime, the reliability of classification methods based on single thresholds should be properly assessed for the different locations and time scales. In this paper an investigation on the applicability of single thresholds for daily rainfall events classification for Lazio region is presented. For the case study, results suggest that a classification based on single thresholds is not suitable and therefore the need for a different approach is required. [ABSTRACT FROM AUTHOR]

Knowing the dominant directions along which heavy daily precipitation events occur synchronously can be of great importance to better understand the spatio-temporal dynamics of rainfall. Furthermore, it can help to improve flood forecasting system. In this paper we propose a methodology based on complex network measures of Event Synchronization (ES) and Network Directionality (ND) to detect main synchronization directions of heavy daily rainfall recorded in the Lazio region (central Italy). We considered 15 rain gauges in the study area, with daily precipitation records ranging from 1951 to 2017. From the preliminary results emerged that for the case study heavy rainfall events occur simultaneously along the directions belonging to the angular sector NW-W and SE-E. [ABSTRACT FROM AUTHOR]

Although it is widely recognized how the knowledge of the kinetic energy (KE) of precipitation plays a fundamental role in soil erosion studies, its direct evaluation is not widespread. As a matter of facts, direct measurements of the kinetic energy of precipitation require the use of sophisticated and expensive tools. Commonly, the following approach is used to deal with this issue, that is the indirect estimation of the kinetic energy from other most widespread measured hydrological variables (i.e rainfall intensity, I). Precipitation intensity measurements are widely available for many countries throughout world, on the other hand the challenge is therefore represented by establishing the best expression to relate the kinetic energy to the rainfall intensity. The aim of the study is to define among the KE-I expressions proposed in literature which best fits KE values calculated from potential erosive events collected by a disdrometer installed in Rome (Italy). [ABSTRACT FROM AUTHOR]