A Python Application for Visualizing the 3D Stratigraphic Architecture of the Onshore Llobregat River Delta in NE Spain
Metadata
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MDPI
Materia
Llobregat River Delta Stratigraphic architecture Granulometry 3D modeling application Python programming language Convex hull algorithm IDW interpolation algorithm
Date
2022-06-11Referencia bibliográfica
Bullejos, M... [et al.]. A Python Application for Visualizing the 3D Stratigraphic Architecture of the Onshore Llobregat River Delta in NE Spain. Water 2022, 14, 1882. [https://doi.org/10.3390/w14121882]
Sponsorship
Spanish Government PID2020-114381GB-100; Generalitat Valenciana from the University of Alicante (CTMAIGA); Junta de Andalucia FQM-343 RNM-188Abstract
This paper introduces a Python application for visualizing the 3D stratigraphic architecture
of porous sedimentary media. The application uses the parameter granulometry deduced from
borehole lithological records to create interactive 3D HTML models of essential stratigraphic elements.
On the basis of the high density of boreholes and the subsequent geological knowledge gained during
the last six decades, the Quaternary onshore Llobregat River Delta (LRD) in northeastern Spain was
selected to show the application. The public granulometry dataset produced by the Water Authority
of Catalonia from 433 boreholes in this strategic coastal groundwater body was clustered into the
clay–silt, coarse sand, and gravel classes. Three interactive 3D HTML models were created. The first
shows the location of the boreholes granulometry. The second includes the main gravel and coarse
sand sedimentary bodies (lithosomes) associated with the identified three stratigraphic intervals,
called lower (>50 m b.s.l.) in the distal LRD sector, middle (20–50 m b.s.l.) in the central LRD, and
upper (<20mb.s.l.) spread over the entire LRD. The third deals with the basement (Pliocene and older
rocks) top surface, which shows an overall steeped shape deepening toward the marine platform
and local horsts, probably due to faulting. The modeled stratigraphic elements match well with the
sedimentary structures reported in recent scientific publications. This proves the good performance
of this incipient Python application for visualizing the 3D stratigraphic architecture, which is a crucial
stage for groundwater management and governance.