The impact of domestic rainwater harvesting systems in storm water runoff mitigation at the urban block scale.

In the framework of storm water management, Domestic Rainwater Harvesting (DRWH) systems are recently recognized as source control solutions according to LID principles. In order to assess the impact of these systems in storm water runoff control, a simple methodological approach is proposed. The hydrologic-hydraulic modelling is undertaken using EPA SWMM; the DRWH is implemented in the model by using a storage unit linked to the building water supply system and to the drainage network. The proposed methodology has been implemented for a residential urban block located in Genoa (Italy). Continuous simulations are performed by using the high-resolution rainfall data series for the ''do nothing'' and DRWH scenarios. The latter includes the installation of a DRWH system for each building of the urban block. Referring to the test site, the peak and volume reduction rate evaluated for the 2125 rainfall events are respectively equal to 33 and 26 percent, on average (with maximum values of 65 percent for peak and 51 percent for volume). In general, the adopted methodology indicates that the hydrologic performance of the storm water drainage network equipped with DRWH systems is noticeable even for the design storm event (T = 10 years) and the rainfall depth seems to affect the hydrologic performance at least when the total depth exceeds 20 mm.

An investigation of wash-off controlling parameters at urban and commercial monitoring sites.

The relationship between the parameters of the wash-off function and the controlling hydrologic variables are investigated in this paper, assuming that the pollutant generation process basically depends on the watershed rainfall-runoff response characteristics. Data collected during an intense monitoring program carried out by the Department of Environmental Engineering of the University of Genova (Italy) within a residential area, an auto dismantler facility, a tourism terminal and a urban waste truck depot are used to this aim. The observed runoff events are classified into different TSS mass delivery processes and the occurrence of the first flush phenomenon is also investigated. The correlation between the mathematical parameters describing the exponential process and the hydrological parameters of the corresponding rainfall-runoff event is analysed: runoff parameters and in particular the maximum flow discharge over the time of concentration of the drainage network are proposed as the controlling factor for the total mass of pollutant that is made available for wash-off during each runoff event.

Quality of stormwater runoff from paved surfaces of two production sites.

In order to investigate stormwater pollutant loads associated with different anthropic activities and the related pollutant build-up and wash-off processes, two pilot sites have been equipped in the Liguria Region (Italy) for monitoring first flush water quality in a gas station and an auto dismantler facility. TSS, COD, HCtot and heavy metals in dissolved form (Zn, Pb, Cu, Ni, Cd, Cr) have been analyzed during the monitoring campaign (started in February 2004). Stormwater flow and quality data collected in both production sites confirm that EMC values are significantly higher than those observed in an urban site. In the auto dismantler site, the EMC values for TSS, COD and HC largely exceed the standard values (EC 91/271). Contrary to urban surface runoff, scarce correlation between TSS and COD concentrations is observed in runoff from both production sites. The occurrence and nature of the pollutant load connected to first flush flows is discussed by inspection of the M(V)-curves that are provided for all monitored water quality parameters. Significant first flush phenomenon is evidenced for TSS and HC, while such clear behavior doesn't emerge for heavy metals. Hydrologic and climatic characteristics (ADWP, rainfall intensity/depth) appear to scarcely affect the build-up and wash-off processes.

Tipping bucket mechanical errors and their influence on rainfall statistics and extremes.

Based on the error figures obtained after laboratory tests over a wide set of operational rain gauges from the network of the Liguria region, the bias introduced by systematic mechanical errors of tipping bucket rain gauges in the estimation of return periods and other statistics of rainfall extremes is quantified. An equivalent sample size is defined as a simple index that can be easily employed by practitioner engineers to measure the influence of systematic mechanical errors on common hydrological practice and the derived hydraulic engineering design. A few consequences of the presented results are discussed, with reference to data set reconstruction issues and the risk of introducing artificial climate trends in the observed rain records.

On the properties of stochastic intermittency in rainfall processes.

In this work we propose a mixed approach to deal with the modelling of rainfall events, based on the analysis of geometrical and statistical properties of rain intermittency in time, combined with the predictability power derived from the analysis of no-rain periods distribution and from the binary decomposition of the rain signal. Some recent hypotheses on the nature of rain intermittency are reviewed too. In particular, the internal intermittent structure of a high resolution pluviometric time series covering one decade and recorded at the tipping bucket station of the University of Genova is analysed, by separating the internal intermittency of rainfall events from the inter-arrival process through a simple geometrical filtering procedure. In this way it is possible to associate no-rain intervals with a probability distribution both in virtue of their position within the event and their percentage. From this analysis, an invariant probability distribution for the no-rain periods within the events is obtained at different aggregation levels and its satisfactory agreement with a typical extreme value distribution is shown.