Building a 3D geomodel for water resources management: case study in the Regional Park of the lower...
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Building a 3D geomodel for water resources management: casestudy in the Regional Park of the lower courses of Manzanaresand Jarama Rivers (Madrid, Spain)
Francisco Carreno Conde • Sandra Garcıa Martınez •
Javier Lillo Ramos • Raquel Fernandez Martınez •
Ariana Mabeth-Montoya Colonia
Received: 26 March 2013 / Accepted: 22 July 2013 / Published online: 13 August 2013
� Springer-Verlag Berlin Heidelberg 2013
Abstract Water resources management of protected sites
requires a powerful tool to analyze the process and changes
that are occurring in the environment. This paper describes
a 3D geomodel design of the Jarama River Detrital Aquifer
located in Madrid (Spain). That hydrogeological unit is
included in the ‘‘Parque Regional de los Cursos Bajos de
los Rıos Manzanares y Jarama’’ (Regional Park of the
Lower Courses of Manzanares and Jarama Rivers). The
goal of this work is to define a method by which a three-
dimensional (3D) model can be created with hydrogeologic
geometry real of main aquifer, to accomplish an adequate
management of the groundwater resources. All data used in
this study were integrated in a geographic database: geo-
logical and hydrogeological information, geological map
(1:25,000), eleven cross-sections, piezometric maps and a
digital elevation model. The constructed 3D model of the
Jarama Aquifer shows geometric features and spatial dis-
tribution and variations of geologic units. Thus, the 3D
model allows the assessment of volumes of each unit, the
depth and thickness variations of the main aquifer, and the
spatial and temporal variations of water tables. From the
3D model, the most suitable areas (in terms of groundwater
protection) for managed recharge and mining works have
been identified.
Keywords 3D hydrogeological model � GIS �Water resources management � Aquifer vulnerability �Jarama river detrital aquifer
Introduction
Three-dimensional (3D) reconstruction techniques for the
study and analysis of complex geological bodies are
commonly used in hydrocarbon exploration and production
(Perrin et al. 2005), analysis of structural geology (Martelet
et al. 2004), reconstruction of geological surfaces (Fern-
andez et al. 2004), mining exploration (Le Carlier et al.
2009; Feltrin et al. 2009), environmental risk (Wycisk et al.
2009), or hydrogeological modeling for groundwater
resource management (Bonomi 2009; Gallerini and De
Donatis 2009). That is because with a 3D reconstruction it
can be obtained a consistent model that describes a detailed
succession of different layers with their geometrical rela-
tionships and spatial distribution, allowing the estimation
of the volume of each layer. Also, the 3D true represen-
tation allows a better understanding of the complex sub-
surface settings of different units (Nury et al. 2009).
Groundwater resource evaluation and management
require the adequate spatial representation of geological
and hydrogeological information including the regarding
rock layers and water table depth, to obtain depth and
piezometric maps, vertical cross-sections, geometric solu-
tions of the piezometric surface of the aquifers, closed
volumes and data estimation of groundwater reserves in the
aquifer of interest.
There is a clear relationship among the natural resour-
ces, ecosystems, uses of the territory (agriculture and
mining) and groundwater flow systems, as natural equi-
librium can undergo serious changes if an increase in the
F. C. Conde (&) � S. G. Martınez � J. L. Ramos �R. F. Martınez � A. Mabeth-Montoya Colonia
Dpto. de Biology and Geology, University of Rey Juan Carlos,
C/Tulipan s/n, 28933 Madrid, Spain
e-mail: [email protected]
F. C. Conde � J. L. Ramos
Madrid Institute of Advanced Studies in Water Technologies
IMDEA Water, C/Punto Net 4, Alcala de Henares, 28805
Madrid, Spain
123
Environ Earth Sci (2014) 71:61–66
DOI 10.1007/s12665-013-2694-3
use intensity of resources occurs. For these reasons, anal-
ysis of changes occurring in the territory must be carried
out on a proper basis to make the adequate decisions
regarding the environment management. In this work, it is
shown that how cartographic, topographic, geological and
hydrogeological data can be integrated to generate a 3D
geomodel, giving as a result a powerful basis for ground-
water resources management.
Case study
The studied area is located in the province of Madrid
(Spain), specifically is included in the ‘‘Parque Regional en
torno a los ejes de los cursos bajos de los rıos Manzanares y
Jarama’’ (Regional Park of the Lower Courses of Man-
zanares and Jarama Rivers) and coincides with a site of
community importance (SCI) code SCI-ES-3110006
‘‘Vegas, cuestas y paramos del Sureste’’ (Fig. 1).
The area comprises 194 km2 and is cut-off by 26 km of
the course of the Jarama River running NNE–SSW and
4.5 km of the course of its influent, the Manzanares River.
The Quaternary fluvial deposits of the Jarama River consist
of gravels, sands, and muds, that are resting on Tertiary
sedimentary rocks. The fluvial deposits conform the so-
called Jarama Aquifer, a high-permeability aquifer that is
hydraulically connected to the river.
Continental Tertiary sedimentary rocks are outcropping
in both sides of the fluvial valley. They define four sedi-
mentary units belonging to the Madrid Basin Tertiary
succession (Silva et al. 1988; Perez-Gonzalez 1971):
– Gypsum massive beds, clays and gypsum marls (Mid-
dle Miocene). These materials are overlaid by the
Jarama quaternary deposits, and they define the lower
boundary of the aquifer because of their low
permeability.
– Marls, limestones, and dolostones (Middle Miocene).
These materials are overlaying the gypsum unit,
outcropping in both sides of the valley.
– Conglomerates, sandstones, and claystones related to
an Upper Miocene fluvial basin. This unit is only
outcropping in the left bank slopes.
– Limestones and marly limestones aged Upper Mio-
cene–Pliocene. They constitute a perched aquifer.
Fig. 1 Location map of the
study area and geologic units
considered for the 3D model.
Location of VES (vertical
electrical soundings) profiles is
also shown
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The Jarama detrital aquifer is an unconfined aquifer with
the groundwater level close to ground surface, at depth of
0.25–6 m. The hydraulic parameters calculated by Bardajı
et al. (1990) from pumping test data yielded high to very
high-permeability values, transmissivity values ranging
632–3,300 m2/d and a storativity of 0.07. These features,
along with the hydraulic connection to the river, give as a
result the high vulnerability for the aquifer. Moreover, an
intense quarrying activity has been developed from more
than 20 years, consisting of gravels and sands extraction
affecting the lower terraces of the river. During that period,
the mining works took place in a large number of sites, but
nowadays only six of them are active (Asociacion Nacional
de Empresarios Fabricantes de Aridos 2010). In many sites,
the extraction of material was carried out below the water
table and artificial ponds were generated. Regarding water
abstraction, there are 316 wells located in the aquifer,
which obtain 21.09 hm3/year of water for the neighbor-
hood villages. Thus, the Jarama aquifer is an essential
resource for the water supply in the area. In this frame-
work, it is required to reconcile the protection of the
environment with the quarrying activity in area, so as to
ensure sustainable utilization of mineral resources with no
endangered water resource. For that, or in others words to
accomplish an adequate management of the resources, it is
paramount to define the real geometry of the aquifer. This
is the main goal of the present work.
Data and methodology
All data used in this study were stored in a geographic data
base (GDB) edited in ArcGIS 9.2 for the management of
geological and hydrogeological information. A 3D Core
Builder (3DCB) extension for ArcView 3.x. (O’Neall
1999) with 3D Analyst was used for making 3D lithology
cylinders (i.g. virtual boreholes) and 3D Analyst extension
for ArcGIS 9.2 allowed true surface interpolations. Arc-
Scene application integrated with ArcGIS was selected for
3D visualization because it allows a view of the Geo-
graphic Information System (GIS) data in three
dimensions.
The main data source for this work is the ‘‘Estudio para
la ordenacion de la actividad extractiva en el tramo bajo del
rıo Jarama’’ (‘‘Study for managing the extraction activity in
the lower Jarama river’’) (Bardajı et al. 1990) that provided
a geological map (1:25,000), eleven cross-sections
obtained from vertical electrical soundings (VES) inter-
pretation and piezometric maps of the Jarama River
Detrital Aquifer. In addition, a Digital Elevation Model
(DEM) was obtained for surface topography of 25 m res-
olution and four boreholes from Tajo Hydrographical
Confederation database. The used orthoimages (2000 year)
had a spatial resolution of 0.5 m, as it was required for
methodology development.
The procedure for producing a 3D model can be sum-
marized as follows:
1. Construction and implementation of a GIS with the
tools and functionalities needed to manage the data
(maps, databases, images, 3D viewers) used in this
work.
2. Generation of a GDB that includes all relevant
information for its subsequent integration to the GIS.
The maps 1:25,000 used in this study, including
lithological, piezometric and VES location maps, were
georeferred by 10–15 checkpoints to assure a valid
root mean square error (RMS), always lower than 1.
3. Modelling of the surfaces of the lithological–hydro-
geological units of interest. To elaborate a valid and
realistic 3D model, the following criteria were
considered:
– Boundaries of the lithological units have been
outlined from the geological map, and they have
been revised by interpretation of orthoimages.
– The geological units of the model have been
considered with slight horizontal or subhorizontal
dips close to zero.
– Regarding Quaternary materials, only the lower
river terraces and river channels of the two major
rivers have been digitized, as there is a lack of
detailed data about spatial variability of their size
and/or material thickness of the tributaries river
channels.
– Alluvial fans and glacis deposits have not been
taken into account, given their small average
thickness, out of the 3D model representation
scale.
– Ponds generated from extractive activities have not
been considered due the lack of depth and real
extension data, being rebuilt the limit of the lower
terraces from the original topography.
– Data from eleven VES cross-sections with a total
length of 35.9 km and located transversally to the
Jarama course were incorporated in the model.
They included depth of the lower boundary unit,
thickness of the Quaternary materials and depth of
the water table. Thus, the values of thickness and
depths of profile points spaced every 50 m were
incorporated to the GIS, according to the model
resolution. From this information, it interpolated
the surface that defines the contact between the
aquifer and the lower impermeable unit.
– Geological boundaries were converted to polygon
geometries with attributes that represent the spatial
distribution of lithological–hydrogeological units.
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123
The eleven cross-sections distributed along the
study area and spaced 100 m were converted in
virtual 3D boreholes.
– Construction of surfaces of the considered litho-
logical–hydrogeological units was based on a new
point layer with 79,295 elements spaced 50 m.
Thus, the study area was regularly discretized to
obtain virtual 3D lithological boreholes. Each
borehole contains depth data of the upper and
lower surfaces of the units.
– In the case of the Aquifer unit, the upper surface
depth corresponds to the DEM value at that point
and the lower surface depth corresponds to the
depth of the contact between the lower imperme-
able layer and aquifer; therefore, the design of this
surface is crucial in the model. However, the
gypsum unit displays an irregular pattern and its
upper boundary cannot be only obtained from the
geologic map. Alternatively, depths of that bound-
ary were extracted from the VES cross-sections
data.
– The uppermost part of the gypsum formation
corresponds to the calculated surface and the
lowermost limit was established at 450 m.
– The 3D model is based on a constructive method so
that each model surface is processed independently
from the 3D borehole data, assuming that all layers
are characterized by a horizontal disposition and
constant thickness. Interpolation method was
inverse distance weighting (IDW).
4. Construction of piezometric surfaces for different
periods (August 1973, March 1989, September
1989). The isopiezometric curves were converted to
a point layer to build the piezometric surfaces of the
unconfined Jarama Aquifer by IDW interpolation.
5. Model 3D validation. The geologic surfaces must be
interlocked to validate the results. A careful checking
of geological settings, virtual 3D boreholes and surface
topography was performed to detect inconsistencies in
the conceptual geological model and the data sources.
Thus, the revised 3D model contains an individual
representation of each formation, and a complete 3D
model of the Jarama Aquifer is generated when they
are overlaid.
Four layers in the 3D model of the Jarama Aquifer were
considered, defined by lithological and hydrogeological
criteria with and environmental significance: layer 1 is
composed by gypsum of Middle Miocene age, occurring
along both margins of Jarama River; layer 2 consists of
marls, conglomerates and limestone deposits of Middle to
Upper Miocene age occurring in the western section of the
Jarama Valley; layer 3 is composed by gravels and alluvial
deposits of Quaternary age; and layer 4 is made up by
limestone, marls, conglomerates and terrace deposits of
Quaternary age. This study is focused on layer 3 and layer
1. Layer 1 consists of gypsum and is considered the
basement of the Jarama aquifer system, defining a very low
permeable formation and a natural barrier that confines and
prevents a possible transport or dispersion of a potential
contaminant plume. The defined upper boundary surface of
the layer 1 is similar to that outlined in the VES cross-
sections and its lateral continuity is coherent with the
surface in the geological map. Layer 3 is composed by
gravels and is considered the main aquifer; therefore, it is
very important to know their geometry and spatial
boundaries for groundwater management, especially, if this
unit is affected by extractive industries (gravels) whose
management should be sustainable by law.
Results and discussion
The 3D model of the Jarama Aquifer shows the spatial
distribution, geometric features and variability of geologic
units, and their relationship with the land surface (Fig. 2).
The design allows the display of all units as a detailed
succession of layers or alternatively, the model allows
working with each formation independently (Fig. 3).
The results are correct and coherent with the general
geological knowledge for the area; however, the local
spatial variations of the Tertiary and Quaternary sediments
or topographic variations due to human activities could not
be included in the model to obtain a more accurate envi-
ronmental setting. In 3D modelling, a key point is that a
‘‘true’’ model depends on density and availability of
information according to scale (Wycisk et al. 2009). As
more data are included, models are more realistic (Fig. 3).
Fig. 2 Representation of the real 3D model of the studied area
showing boreholes cross-sections and a layer contact surface. Each
considered layer is differentiated by a colour: Layer 1 brown; Layer 2
yellow; Layer 3 orange; and Layer 4 gray
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In the model, the unconfined Jarama Aquifer volume is
estimated around 9,250 hm3 with a maximum water stor-
age of 1,250 hm3. The created isopach map shows a
thickness variation of the main aquifer from 1 to 56 m,
with the maximum depths located to the northeastern and
southeastern parts of the study area hm3 (Fig. 4a).
Analysis of the piezometric models obtained from 1973
to 1989 shows a light increase of the water table depth
(mean of 0.39 m), being the estimated volume increase of
27 hm3 (Fig. 4b) (2.15 % of the aquifer storage). The
maximum increase is located along the aquifer and the
main decrease is located at the northwestern and the
southern parts of the aquifer.
The 3D model allows the definition of those zones
where managed aquifer recharge by infiltration may be
better applied or alternatively, those zones where water
abstraction could less affect the natural hydrological
regime and water quality. As an example, if aquifer
recharge is based on the reuse of treated wastewater, the
best zones would be those with highest aquifer thickness
(higher reserve potential) and deepest water table (less
vulnerability). In addition, the 3D model allows the iden-
tification of those areas carrying on mining activities with a
lower environmental impact (e.g. those with highest
thickness and deepest water table). However, it must be
taken into account that those sectors with the highest water
variation probably are already affected by an intensive
groundwater extraction.
However, there are strong limitations in this 3D model,
mainly arising from the lack of detailed geological infor-
mation (e.g. lateral variation of sedimentary units) and
hydrological data (e.g. hydraulic parameters) as well as
detailed information of mining works, including excavation
geometry and filling deposits. Thus, the constructed 3D
model has to be considered as a simplification of the
geological and hydrogeological systems of the study zone.
It is a valuable tool for environmental management, but it
has to be kept in mind that the model requires being refined
to obtain more realistic conclusions for making decisions.
Conclusions
A 3D model of Jarama Aquifer has been constructed using
GIS techniques for a better understanding of the complex
subsurface settings as the model enhances the visual
interpretation of the sedimentary layers that form the
aquifer.
The 3D model is based on a constructive method that
uses a variety of geological, hydrogeological and topo-
graphic data compiled from geologic maps, boreholes,
Fig. 3 Visualization of the 3D main Jarama aquifer system model
(layer 3 gravels) with the Manzanares and Jarama courses
Fig. 4 a Isopach map showing
thickness variation of the main
aquifer from 1 to 56 m. b Water
table variation from 1973 to
1989
Environ Earth Sci (2014) 71:61–66 65
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cross-sections, DTM and outcrops whose integration
allows the assessment of the geometry and spatial vari-
ability and the volume of the sedimentary layers and water
storages.
The piezometric surface is generally near to the surface
zones and in most of the cases there exist a hydraulic
connection among the aquifer, the river and the ponds. The
intersection between the main aquifer isopach and piezo-
metric models can help to identify areas with higher risks
derived from an intense groundwater exploitation rate,
extractive mining activity or groundwater contamination,
which is paramount for the management and conservation
of the regional natural park. In addition, the model can also
be used to analyze the different scenarios for natural
recharge, to identify areas for managed recharge, and to use
for planning of water and environmental resources. The 3D
model is a valuable tool for the assessment of aquifer
vulnerability and water storage variation, due to water
abstraction as caused by mining extraction of solid
material.
The Jarama Aquifer 3D model represents a key tool to
estimate the natural resources, environmental risk and
potential negative impact derived for anthropogenic
activities. It is required for a correct management of the
regional park, allowing the application of regulations to
mitigate the negative effects of human activities.
Acknowledgments The authors wish to thank Marıa Bascones and
Luis Toribio from the Directorate General for the Environment,
Department of Water Quality of the Community of Madrid for his
support and the information. They also wish to thank Mercedes
Echegaray (Hydrographic Confederation of Tagus River) for this
comments and suggestions.
References
Asociacion Nacional de Empresarios Fabricantes de Aridos. ANEF
(2010). http://www.aridos.org. Accessed 15 December 2010
Bardajı I, Cabra P, Calvo JP, Gil de Mingo R, Martın S, Mogrovejo J,
Ordonez S, Sanz E, Sastre A, de Vega MT, Vela A (1990)
Estudio para la ordenacion de la actividad extractiva en el tramo
bajo del rıo Jarama. Servicio de Estudios y Planificacion.
Agencia de Medio Ambiente, Comunidad de Madrid
Bonomi T (2009) Database development and 3D modeling of textural
variations in heterogeneous, unconsolidated aquifer media:
application to the Milan plain. Comput Geosci 35:134–145
Feltrin L, McLellan JG, Oliver NHS (2009) Modelling the giant, Zn–
Pb–Ag Century deposit, Queensland, Australia. Comput Geosci
35:108–133
Fernandez O, Munoz JA, Arbues P, Falivene O, Marzo M (2004)
Three-dimensional reconstruction of geological surfaces: an
example of growth strata and turbidite systems from the Ainsa
basin (Pyrenees, Spain). Am Assoc Pet Geol Bull 88(8):
1049–1068
Gallerini G, De Donatis M (2009) 3D modeling using geognostic
data: the case of the low valley of Foglia river (Italy). Comput
Geosci 35:146–164
Le Carlier de Veslud Ch, Cuney M, Lorilleux G, Royera JJ, Jebrakc
MJ (2009) 3D modeling of uranium-bearing solution-collapse
breccias in Proterozoic sandstones (Athabasca Basin, Canada)
Metallogenic interpretations. Comput Geosci 35:92–107
Martelet G, Calcagno P, Gumiaux C, Truffert C, Bitri A, Gapais D,
Brun JP (2004) Integrated 3D geophysical and geological
modelling of the Hercynian Suture Zone in the Champtoceaux
area (South Brittany, France). Tectonophysics 352:117–128
Nury S, Zhu X, Cartwright I, Ailleres L (2009) Aquifer visualization
for sustainable water management. Manag Environ Quality: Int J
21(2):253–274
O’Neall M (1999) User manual 3D core builder. Version 3a. Indian
Geological Survey
Perez-Gonzalez A (1971) Estudio de los procesos de hundimiento en
el valle del rıo Jarama y sus terrazas. Estud Geol 37:317–324
Perrin M, Zhu Z, Rainaud JF, Schneider S (2005) Knowledge-driven
applications for geological modelling. J Pet Sci Eng 47:89–104
Silva P, Goy JL, YZazo C (1988) Evolucion geomorfologica de la
confluencia de los rıos Jarama y Tajuna durante el Cuaternario
(Cuenca de Madrid, Espana). Cuatern Geomorfol 2:125–133
Wycisk P, Hubert T, Gossel W, Neumann Ch (2009) High-resolution
3D spatial modelling of complex geological structures for an
environmental risk assessment of abundant mining and industrial
megasites. Comput Geosci 35:165–182
66 Environ Earth Sci (2014) 71:61–66
123