Objectives:
W-SAHaRA focuses on developing stochastic computational
methods and experimental procedures for prediction of flow, well catchment
extent and contaminant time-of-residence in heterogeneous aquifers under data
scarcity and uncertainty, in the presence of a variety of measured data,
together with the quantification of the concept of risk associated with such
predictions. The problem is attacked from various perspectives: (a)
theoretical/conceptual; (b) laboratory and field scale; (c) deterministic and
stochastic model development of synthetic and real-world cases; (d) increase of
social acceptability of stochastic concepts in groundwater resources management.
The developed concepts and models and experimental procedures serve as
innovative tools for groundwater monitoring programs.
Scientific
achievements:
W-SAHaRA produces enhanced basic
understanding of issues related to reliable wellhead protection and risk
assessment in randomly heterogeneous aquifers and substantial innovation in the
methods and techniques for the development of combined theoretical and
experimental tools to monitor and estimate groundwater flow and contaminant
travel time in well fields. Scientific achievements of the second year
are consistent with the general objectives of W-SAHaRA and are described in the
following, according to the methodology adopted.
ü
Nonlocal moment
equations: W-SAHaRA
provides algorithms and analytical expressions for computing leading statistical
moments of hydraulic head, fluxes, residence time and trajectories of
contaminants under steady state flow to wells that pump water from a bounded,
randomly heterogeneous aquifer. Analytical expressions are offered for two- and
three-dimensional convergent (in the mean) flow scenarios of practical interest,
when the natural logarithm Y of aquifer transmissivity (or hydraulic
conductivity in three-dimensions) is modelled as a statistically homogeneous
random field with a Gaussian spatial correlation function. Numerical solutions
are offered for general flow conditions, taking full advantage of available
information. This is achieved by developing procedures to condition predictors
and the associated prediction errors upon hydraulic conductivity and/or
hydraulic heads measurements and information rendering the spatial distribution
of materials within an aquifer (such as data from geophysical exploration).
Combined use of such information allows reducing uncertainty associated to
predictions and the influence of each type of data is analyzed. The methodology
also provides useful information about the appropriate choice of a sampling
strategy within a heterogeneous aquifer. Our two- and three-dimensional
solutions are supported by Monte Carlo simulations, which demonstrate (a) their
applicability to strongly heterogeneous aquifers, characterized by large values
of log transmissivity (or conductivity) variance and (b) their robustness
to provide conceptual and
theoretical insight into the nature of the solution.
ü
Monte Carlo approach:
W-SAHaRA has investigated the capabilities of numerical Monte Carlo techniques
to efficiently incorporate different types of data in modeling well protection
zones and catchments under uncertain conditions. The influence of different
geologic and hydrogeologic settings and processes on capture zones, examples of
which are groundwater recharge and complex confining layers, have been analyzed.
This will enable one to identify the key hydrogeologic parameters that influence
capture zones and aquifer monitoring strategies. Key parameters concern the
impact of recharge and boundary conditions on the capture zone. It was found
that spatially variable recharge in most cases is not expected to considerably
contribute to uncertainty in the well capture zone. Nevertheless, uncertainty in
the mean areal recharge affects the capture zone significantly. Temporally
variable recharge is important in case the catchment has groundwater residence
times that are smaller than the time scale on which the recharge fluctuates.
From the other studied key parameters, only uncertainty with respect to
prescribed head values on boundaries, had an important impact on the well
capture zone estimation.
ü
Laboratory and field experiments:
For the experimental site chosen by W-SAHaRA in the Neckar Valley, close to
Tuebingen (Germany) further hydrogeological characterization based on water
level measurements, borehole core sample analyses, permeameter measurements,
borehole flowmeter logs, small scale pumping tests etc. was obtained. A
principal deterministic flow and transport model, needed for design and later
evaluation of the field tracer experiments, has been set up. To reproduce the
flow situation of a well field the tracer tests are run under convergent flow
forced gradient conditions. Because different flow directions have to be
considered, different tracers are used and an innovative multilevel-multitracer
approach has been developed. To obtain a high temporal and spatial resolution,
on-line measurement equipment is used (multilevel fiber optic fluorimeters for
fluorescent tracers). Locations
for additional groundwater wells for pumping, tracer injection and tracer
breakthrough measurement were defined, as well as pumping rates, tracer masses
and tracer test durations. Using the existing and the new drilled wells, a
systematic procedure for additional aquifer parameter characterization has been
carried out (water level measurements, flowmeter logs, pumping tests). The
tracer test equipment was installed at the test site and a small scale field
tracer test was performed. W-SAHaRA also performed a series of tracer tests
within the laboratory scale model MARCEAUS (Institut de Mécanique des Fluides of
the Université Louis Pasteur in Strasbourg – France). MARCEAUS is a
three-dimensional box, which is filled with cubic blocks of sand and gravel to
mimic the heterogeneity of an aquifer at the laboratory scale. The model has
been equipped with pumping wells, and proper measuring instrumentation (to
measure groundwater pressure heads and solute concentration).
ü
Determinstic model of real-world field:
W-SAHaRA has identified a test site for deterministic modeling of wellhead
protection zones in the area of Bologna (Italy), where a major extraction well
field is located and exploited by one of the partners. Geological and
hydrogeological reconstruction of the aquifer have been undertaken and its
architecture has been identified. The probabilistic reconstruction of facies
distribution within the first aquitard of chosen aquifer has been performed and
a methodology has been refined to predict well catchments including these data
within the models developed for predictors of catchments and contaminants
trajectories. To model the groundwater flow in the Bologna aquifer the finite
element code FEFLOW has been used. Data assimilation has been completed: data
comprise general and thematic maps, distribution of extraction activities within
the aquifer, location of monitoring wells, meteoric precipitation, hydrographic
network, hydraulic conductivity. Information has been validated, and
standardized in electronic archives. Implementation of the deterministic model
is at an advanced stage.
ü
Public awareness and data dissemination:
W-SAHaRA has launched an internet platform which is going to host the general
ideas and main results of the project. W-SAHaRA has produced a critical review
of stochastic methodologies for assessing uncertainty in wellhead protection,
which has been posted on the Consortium web platform. In addition, a preliminary
guidance document describing the implementation of the results of the W_SAHaRA
work has been produced. This, along with a concise project brochure (currently
in draft form) will provide end users with information on how to practically
apply the outcomes from the project. Data obtained from the laboratory
experiments are going to be published on the web site and will be freely
accessible to users. W-SAHaRA has organized two special sessions at two key
international conferences. Results have also been disseminated via publications
in technical journals and articles in newspapers. Dissemination of results has
also commenced at international conferences, on international journals and with
graduation thesis and interdisciplinary Master thesis. Partners involved in the
public administration are working in close contact to give large circulation to
the concepts and results.
Socio-economic
relevance and policy implications:
Wellhead protection zones serve as
an effective protection of groundwater against pollution by regulating human
activities in areas around drinking wells, therefore having large social and
economic impact. Moreover, developing reliable strategies and methodologies for
monitoring the groundwater resource is proving to be a major concern in all
Europe. The socio-economical relevance of the project is evident, since a very
high number of well protection zones have to be delineated in Europe in the next
future. The end-users are not only engineers, hydrogeologists and other
scientists, dealing with groundwater protection zones, but also officers from
agencies, involved in regulations and the assessment of related projects. It is
believed that the improved theoretical and experimental techniques and data
developed by W-SAHaRA may be a valuable source of tools and information for the
scientific community and private and public agencies.
Conclusions:
W-SAHaRA provides methodological
advances including (1) the development of methods for effectively incorporating
various type of (limited) available information in probabilistic analysis of
wellhead protection and reduction of predictions uncertainty; (2) the
development of simulation tools for well protection in a stochastic framework;
(3) the development of innovative monitoring and investigation techniques at the
laboratory and field scale, to quantify the effect of heterogeneity at various
scales on predictions of groundwater flow and contaminant fluxes. W-SAHaRA is
also working in the direction of accelerating social acceptance of stochastic
concepts in groundwater management practice.
Keywords:
Wellhead protection, well catchment, capture zones, random media, moment
equations, Monte Carlo, laboratory experiments, field experiments, groundwater
monitoring, deterministic models, groundwater, solute transport, conditioning,
inverse models, heterogeneity.