Hydrogeology and geochemistry of the multilayered confined aquifer of the Pisa plain (Tuscany – central Italy)

Grassi, S.; Cortecci, G.

doi:10.1016/j.apgeochem.2004.06.005

Cited by 50 publications

(26 citation statements)

References 9 publications

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“…As a result of chemical and biochemical interaction between groundwater and contaminants from agricultural and industrial activities along with geological materials through which it flows (Bennetts et al, 2005;Gi-Tak et al, 2005), it contains a wide variety of dissolved inorganic chemical constituents in various concentrations. The characteristics of groundwater in different aquifers over space and time proved to be an important technique in solving different geochemical problems (Grassi and Cortecci, 2005;Adams et al, 2001;Alberto et al, 2001;Lopez-Chicano et al, 2001;Zanini et al, 2000;Atteia et al, 2006). Chemical ions correlation and some ions ratio are used to predict the origin of the mineralization (Pulido-Leboeuf et al, 2003;Gemici and Filiz, 2001;Liu et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Identification of major sources controlling groundwater chemistry from a multilayered aquifer system

Chenini¹,

Farhat²,

Mammou³

2010

Chemical Speciation & Bioavailability

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The Maknassy basin is a typical example of an arid area in Central Tunisia. The geology of the area is mainly composed of Cretaceous calcareous formations. To identify the major process involved in controlling the groundwater chemistry, 53 groundwater samples for three different aquifer levels have been examined. The groundwater chemistry is dominated by SO 4 (Na þ Mg) and (Cl þ SO 4 ). The presence of (Ca þ Mg) and (Na þ K) with HCO 3 indicates the domination of dolomitic rock weathering as the major source of cations. The plots for Na to Cl indicate a fine correlation and reflects their release from halite dissolution during groundwater transition. An ion exchange process is also activated in study area which is indicated by a shift to the right in a plot for Ca þ Mg to SO 4 þ HCO 3 . The plot of Na À Cl to Ca þ Mg À (HCO 3 þ SO 4 ) confirms that Ca, Mg and Na concentrations in groundwater are derived from aquifer materials. Saturation indexes of groundwater samples indicate undersaturation for gypsum and anhydrite, and oversaturation for calcite, dolomite and aragonite confirming waterrock interactions by dissolution and dilution processes. In general, water chemistry is guided by weathering process, ion exchange and water -rock interaction during groundwater transition.

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Section: Introductionmentioning

confidence: 99%

Identification of major sources controlling groundwater chemistry from a multilayered aquifer system

Chenini¹,

Farhat²,

Mammou³

2010

Chemical Speciation & Bioavailability

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“…After each test, the calculated temperatures were compared with direct temperature surveys in boreholes and with measured data from previous works [38]. The results show agreement (deviation <6%) between the measured temperatures for aquifers and the simulated temperatures in the model cells at the corresponding depth in the aquifer.…”

Section: D Geothermal Modelingmentioning

confidence: 80%

“…The generally accepted regional hydrogeological framework [28][29][30][31][32][33][34][35][36][37][38][39][40] is based on the so-called "confined multilayered aquifer" system [33], and is formed by two main confined aquifers, hosted in coarse sediments, sands, and gravels. These are separated by clay-rich layers or are locally connected in areas without clay units.…”

Section: Case Historymentioning

confidence: 99%

The Integration of 3D Modeling and Simulation to Determine the Energy Potential of Low-Temperature Geothermal Systems in the Pisa (Italy) Sedimentary Plain

et al. 2018

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Shallow, low-temperature geothermal resources can significantly reduce the environmental impact of heating and cooling. Based on a replicable standard workflow for three-dimensional (3D) geothermal modeling, an approach to the assessment of geothermal energy potential is proposed and applied to the young sedimentary basin of Pisa (north Tuscany, Italy), starting from the development of a geothermal geodatabase, with collated geological, stratigraphic, hydrogeological, geophysical and thermal data. The contents of the spatial database are integrated and processed using software for geological and geothermal modeling. The models are calibrated using borehole data. Model outputs are visualized as three-dimensional reconstructions of the subsoil units, their volumes and depths, the hydrogeological framework, and the distribution of subsoil temperatures and geothermal properties. The resulting deep knowledge of subsoil geology would facilitate the deployment of geothermal heat pump technology, site selection for well doublets (for open-loop systems), or vertical heat exchangers (for closed-loop systems). The reconstructed geological-hydrogeological models and the geothermal numerical simulations performed help to define the limits of sustainable utilization of an area's geothermal potential.

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“…The general purpose of this study was to investigate simultaneously the interaction between the different chemical components of the ground water of the phreatic aquifer of Maknassy basin. TDS is used as a factor defining general ground water salinity (Grassi and Cortecci, 2005). …”

Section: Tdsmentioning

confidence: 99%

Evaluation of ground water quality using multiple linear regression and structural equation modeling

Chenini

Khemiri

2009

Int. J. Environ. Sci. Technol.

119

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ABSTRACT:A methodology for characterizing ground water quality of watersheds using hydrochemical data that mingle multiple linear regression and structural equation modeling is presented. The aim of this work is to analyze hydrochemical data in order to explore the compositional of phreatic aquifer groundwater samples and the origin of water mineralization, using mathematical method and modeling, in Maknassy Basin, central Tunisia). Principal component analysis is used to determine the sources of variation between parameters. These components show that the variations within the dataset are related to variation in sulfuric acid and bicarbonate, sodium and cloride, calcium and magnesium which are derived from water-rock interaction. Thus, an equation is explored for the sampled ground water. Using Amos software, the structural equation modeling allows, to test in simultaneous analysis the entire system of variables (sodium, magnesium, sulfat, bicarbonate, cloride, calcium), in order to determine the extent to which it is consistent with the data. For this purpose, it should investigate simultaneously the interactions between the different components of ground water and their relationship with total dissolved solids. The integrated result provides a method to characterize ground water quality using statistical analyses and modeling of hydrochemical data in Maknassy basin to explain the ground water chemistry origin.

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Hydrogeology and geochemistry of the multilayered confined aquifer of the Pisa plain (Tuscany – central Italy)

Cited by 50 publications

References 9 publications

Identification of major sources controlling groundwater chemistry from a multilayered aquifer system

Identification of major sources controlling groundwater chemistry from a multilayered aquifer system

The Integration of 3D Modeling and Simulation to Determine the Energy Potential of Low-Temperature Geothermal Systems in the Pisa (Italy) Sedimentary Plain

Evaluation of ground water quality using multiple linear regression and structural equation modeling

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