TY - JOUR
T1 - A Classification Tree for Modeling Ground Fractures from Subsidence
AU - Trejo, Paulina
AU - García, Silvia
AU - Vincent, Shweta
N1 - Funding Information:
The investigations on which this publication is based were sponsored by the Mayor’s Office of Tláhuac, under the provisions of agreement IISGCONV-010-2018 between this Mayor’s Office and the Instituto de Ingeniería of the Universidad Nacional Autónoma de México.
Publisher Copyright:
© 2023 by the authors.
PY - 2023/3
Y1 - 2023/3
N2 - This article presents a classification tree with predictive and prescriptive capabilities for the management of ground fractures in a crowded suburb in Tláhuac, a municipality of Mexico City. The tree is trained with observations of fractures parametrized with basic geotechnical and geological variables and specifications of the urban environment where they manifest. With the trained tree, the complexity of the scenario affected by the subsidence phenomenon is cleared because the relations between parameters can be viewed easily. With the trained tree, the influence of stratigraphic arrangements (geotechnical properties), geological conditions, size of roads and inhabited units, and location of water-pumping infrastructure in the appearance and exacerbation of cracks in soils is recognized, and this offers citizens and government administrators the possibility of anticipating damages and working on programs for improving structures and foundations, including relocation programs for communities at risk.
AB - This article presents a classification tree with predictive and prescriptive capabilities for the management of ground fractures in a crowded suburb in Tláhuac, a municipality of Mexico City. The tree is trained with observations of fractures parametrized with basic geotechnical and geological variables and specifications of the urban environment where they manifest. With the trained tree, the complexity of the scenario affected by the subsidence phenomenon is cleared because the relations between parameters can be viewed easily. With the trained tree, the influence of stratigraphic arrangements (geotechnical properties), geological conditions, size of roads and inhabited units, and location of water-pumping infrastructure in the appearance and exacerbation of cracks in soils is recognized, and this offers citizens and government administrators the possibility of anticipating damages and working on programs for improving structures and foundations, including relocation programs for communities at risk.
UR - http://www.scopus.com/inward/record.url?scp=85149986541&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85149986541&partnerID=8YFLogxK
U2 - 10.3390/app13053123
DO - 10.3390/app13053123
M3 - Article
AN - SCOPUS:85149986541
SN - 2076-3417
VL - 13
JO - Applied Sciences (Switzerland)
JF - Applied Sciences (Switzerland)
IS - 5
M1 - 3123
ER -