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Kouli_etal_2008_Groundwater modelling_BOOK.pdf - Pantelis ...

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<strong>Groundwater</strong> Management in the Northern Adriatic Coast (Ravenna, Italy)… 211<br />

et al., (1990, 1995(a)) have described the late Quaternary depositional history of this coastal<br />

plain.<br />

The deposits making up the phreatic aquifer are typical of coastal and delta areas with<br />

sandy and silty unit intercalated (Marchesini et al., 2000) and sand dunes characterized by<br />

north-south orientation, which today are visible up to 30 km inland. Aquifer’s thickness<br />

varies from 8 to 30 meters (Antonellini et al., <strong>2008</strong>). Generally, the lithologic reconstruction<br />

of the study area shows a dominant sand composition with medium and fine grained sand<br />

units characterizing the most part of the aquifer’s stratigraphy.<br />

Slug tests and tidal well tests have been carried out in the most significant points of the<br />

study area (2004-2007) in order to define the main petrophysical properties and evaluate full<br />

scale aquifer hydraulic conductivity. We used the Bouwer and Rice slug test method<br />

(Bouwer, 1976; 1989) that is suitable for screened wells in the unconfined coastal aquifer.<br />

The results of the slug tests have been integrated with the lithological/stratigraphic<br />

information and compared with tidal well test values of hydraulic conductivity obtained using<br />

the method outlined by Fetter (2001) and Jacob (1950). Hydraulic conductivity estimates give<br />

an average of 20 m/day (Giambastiani et al., 2007). This high hydraulic conductivity values<br />

are in according with the stratigraphic records which show a dominant sand composition with<br />

high porosity (0.15-0.35%) (RER and ENI-AGIP, 1998).<br />

Water Budget<br />

In order to estimate the water budget it is necessary to know all inflow and outflow<br />

components in the catchment. Unfortunately due to the lack of accurate drainage and<br />

irrigation information many data can only be deduced. Therefore the approach has been to<br />

estimate local water budget taking into account only precipitations, evapotranspiration,<br />

runoff, infiltration and pedologic features.<br />

An end-of-the month water balance model called Watbal (Starr, 1999) was used to<br />

calculate the components of the hydrologic water budget for several sites in the study area<br />

(Antonellini et al., <strong>2008</strong>; Mollema et al., 2003). This model is based on an energy balance<br />

approach to estimate potential and actual evapotranspiration, soil water flux, soil moisture<br />

content and deficit. The estimate of these parameters depends on several factors such as solar<br />

irradiation, air humidity, wind speed and direction, soil composition and type of vegetation.<br />

The average precipitation is 0.6 m/year and the mean temperature is 13.4°C and generally<br />

the highest temperatures occur in the summer which is also the period with the least<br />

precipitation. As a result the water budget calculations show a surplus only during the first<br />

three months of the year when some water is able to seep down from the soil into the aquifer<br />

below. In the other months of the year, nearly all precipitation is used by plants or evaporates<br />

directly from the soil (Fig. 4)<br />

Since the water to recharge the aquifer is available only a few months per year, the<br />

aquifer recharge is small (14-17 mm/year) and it is insufficient to create a significant<br />

freshwater head.<br />

Moreover Ranjan et al. (2006) prove that pine forests along coastline zone can affected<br />

negatively the water quality in the phreatic aquifer. In fact dense vegetation results in strong<br />

evapotranspiration and decreases the recharge of the aquifer; the pumping made by tree roots<br />

encourages saltwater intrusion from the sea and from the bottom of the aquifer also.

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