Land subsidence susceptibility mapping: comparative assessment of the efficacy of the five models

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Publicado en:	Environmental Science and Pollution Research vol. 30, no. 31 (Jul 2023), p. 77830
Autor principal:	Zhang, Lei
Otros Autores:	Arabameri, Alireza, Santosh, M., Pal, Subodh Chandra
Publicado:	Springer Nature B.V.
Materias:	Land subsidence Spatial distribution Land use management Anthropogenic factors Aquifers Susceptibility Hydrology Algorithms Land use Subsidence Collinearity Maps Machine learning Geology Optimization models Environmental science Climate change Global positioning systems > GPS Remote sensing Artificial intelligence Groundwater Mapping Geographic information systems Earth science Land use planning Environmental
Acceso en línea:	Citation/Abstract Full Text - PDF
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