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Titel |
Managing induced riverbank filtration (IRF) at the Serchio River well field, Tuscany, Italy (Italy) |
VerfasserIn |
Rudy Rossetto, Alberto Ansiati, Alessio Barbagli, Iacopo Borsi, Gennarino Costabile, Peter Dietrich, Giorgio Mazzanti, Daniele Picciaia, Enrico Bonari |
Konferenz |
EGU General Assembly 2014
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 16 (2014) |
Datensatznummer |
250093025
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Publikation (Nr.) |
EGU/EGU2014-7395.pdf |
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Zusammenfassung |
Along the Serchio River (Tuscany –Italy) a series of well fields is set for an overall amount of
about 1 m3/s pumped groundwater providing drinking water for about 300000 people of the
coastal Tuscany (mainly to the town of Lucca, Pisa and Livorno). Water is pumped enhancing
riverbank filtration into a high yield (10-2 m2/s transmissivity) sand and gravel
aquifer by artificially rising river head and setting pumping well fields along the river
reach.
However, being it unmanaged aquifer recharge, concerns arise both for quality and
quantity of the abstracted groundwater. It happens in dry climate extremes (i.e. 2002/2003
or 2011/2012) that Serchio River flow falls below minimum environmental flow
(MEF). Long term contamination of river water had been causing contamination of
groundwater, as in 2002/2006, when pesticide contaminated surface water was
polluting the well fields causing several problems to water supply. Such problems were
overcome by setting in place derogatory regulations and then through dissemination
and stakeholder activities reducing pesticide presence in surface water (EU LIFE
SERIAL WELLFIR project). Although widely adopted, IRF is also not well stated
from a regulatory point of view, eventually leading to concerns by a legal point of
view.
Within the framework of the MARSOL FPVII-ENV-2013 project an experimental site at
a well field will be set to demonstrate the feasibility (by a technical, social and
market point of view) and the benefits of managing IRF versus the unmanaged
option. The Serchio experimental site will involve merging existing and proved
technologies to produce a Decision Support System (DSS) based on remote data
acquisition and transmission and GIS physically-based fully distributed numerical
modeling to continuously monitor and manage well fields, reducing also human
operated activities. The DSS along with the installed sensors, data transmission and
storage tools will constitute a prototype whose potential market exploitation will be
tested.
Site characterization will be completed taking advantage of the MOSAIC on-site
investigation platform for subsurface survey (http://www.ufz.de/index.php?en=16349). A set
of sensors will be installed and operated to monitor by a quantitative and qualitative point of
view hydrologic variables in the river water, in the aquifer, the unsaturated zone and the
wells. Data will be continuously acquired and remotely transmitted to a server where they
will first be checked for consistency and then sent to a database for processing in a
dedicated modelling environment included in the DSS. Hydrogeochemical analysis
for selected species will be performed both on surface-/ground-water and pore
water.
The DSS combining and integrating measurements and the modelling environment will
be developed and equipped with an alert system to inform water managers about the scheme
performance and reaching limits of infiltration rates against river MEF or water quality
indices. The hydrological and mass transport model will be implemented and calibrated at the
demo site. This activity will be needed in order to perform reliable subsequent modelling
tasks within this WP. A calibrated and time-variant water budget will be produced at the end
of this task.
The developed DSS including the GIS integrated modelling environment will be applied
to the Serchio IRF well field to demonstrate the benefits of switching from unmanaged
artificial recharge to Managed Aquifer Recharge (MAR). Applications will involve
estimating induced infiltration rates and travel time from surface water to the well fields,
optimization of groundwater exploitation in complex well field schemes and performing
simulations on pollution events for deriving time estimates and effectiveness of remedial
actions to be set in place. All these simulations will be used to draft an operational and
contingency plan for the Serchio IRF well field in accordance with the government authorities
and the company manager.
Since the successful implementation of a DSS is to be measured not only in terms of
traditional marketing metrics, a systemic market assessment will be performed. In particular,
after an exhaustive identification of stakeholders, related competences and evolutionary
trajectories, economic and strategic performances will be analysed from a systemic
respective, thus introducing life cycle thinking principles. Both a comprehensive literature
review and in field investigations will inform the analysis. Dissemination activities will
include: setting up an Italian network on MAR; focus group for policy makers and group
of citizens (env. associations, etc.); training for private professionals (chartered
engineers, geologists, agronomists, chemists, -¦) and technicians of public authorities. |
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