Simulated three dimensional
hydrofacies structure of the Chaobai alluvial plain, Northern Beijing, China |
(with 15 times of vertical exaggeration).
After: Zhu et al., 2015 (pdf)
Forty year evolution of FE models used to simulate the geomechanics of the aquifer
systems underlying the Venice Lagoon, Italy. (a) Vertical cross section of the 3-D
axi-symmetric mesh of Gambolati et al.  made from 812 nodes and 1000 annular
elements (each rectangle was divided into two triangles). The model run on a IBM PS44 (256 Kb RAM).
(b) Perspective view of the quasi 3-D mesh of the Venetian
multiaquifer system of Teatini et al. . Each aquifer was discretized into 1158
triangles with 608 nodes and each aquitard column into six linear elements, for an overall
number of 18,848 nodes. The model run on an IBM RISC6000/560 (512 MB RAM).
(c) Axonometric view of the tetrahedral mesh used to predict the anthropogenic uplift of Venice
by seawater injection into saline aquifers [Teatini et al., 2011a]. The mesh
totaled 1,905,058 elements and 328,215 nodes with simulations performed on a Core-I7,
2.66 GHz processor-based workstation (6 GB RAM).|
After: Gambolati and Teatini, 2015 (pdf)
VENICE SHALL RISE AGAIN |
Engineered Uplift of Venice through Seawater Injection
This book is authored by Profs. Gambolati and Teatini who, for decades, have carefully studied the geology and the groundwater phenomena in the region surrounding the city of Venice in Northeastern Italy. They discuss a recently proposed, daring, and innovative engineering approach that could create a substantial elevation of the ground surface of the region and, consequently, a mitigation of the periodic flooding of the city.
Publisher sites: EnviroComp Web Page -- Elsevier Insights Web Page
Expected land subsidence above
the Chioggia Mare gas field at 13 years after inception of field
development with water injection. |
After: Teatini et al., 2000 (pdf)
Exploded axonometric view of the 3D
FE grid for the simulation of the expected land subsidence due to gas
production from the Angela-Angelina reservoir. Vertical exaggeration
is 10. |
After: Teatini et al., 1998
Synoptic map of the displacement
rates (mm/year) in the Veneto region obtained by the SIMS over the
decade 1992-2002. |
After: Teatini et al., 2005 (pdf)
Displacement history for two Point
Targets (PT) at the St. Mark's Basilica and Rialto Bridge. The approximate
PT locations are indicated in the photos. |
After: Teatini et al., 2007 (pdf)
Using an accurate 3-D reconstruction of the Quaternary
deposits, developed very recently from about 1050 km of multichannel seismic
profiles and eight exploration wells,
Teatini et al., 2011
provide a reliable predictions of the expected uplift of Venice because
of seawater injection into deep aquifers through 12 wells located
on a 10 km diameter circle (marked in red in the figure).
Despite the complex geometry of the injected formations,
as is shown by the axonometric view of the three-dimensional FE
model sectioned along the coastline of the northern Adriatic Sea
(vertical exaggeration is 10x), a proper adjustment of the injection pressure
in each well, according to its position with respect to the main features
(extent and thickness) of the injected geologic sequences, allows for a prediction
of a quite uniform 26 cm uplift 10 years after pumping inception.
Land subsidence in drained cultivated
peatlands is responsible for a number of serious environmental concerns and
economical problems at both the local and the global scale.
In low-lying coastal areas it enhances the risk of flooding, the saltwater
contamination of shallow aquifers, and the maintenance costs of the systems
that help keep the farmland drained.
Since the subsidence is a major consequence of the bio-oxidation of the soil
organic fraction in the upper aerated zone, cropped peatlands in temperate
and tropic regions are important sources of CO2 into the atmosphere.
A 4-year long experimental study has been performed in a drained peatland located
south of the Venice Lagoon, Italy, to help calibrate a land subsidence model
developed to predict the expected behavior of the ground surface elevation.
After: Zanello et al., 2011 (pdf)