Land subsidence susceptibility assessment using random forest machine learning algorithm

The mechanism of land subsidence and soil deformation deals with the dissipation of excess pore water pressure and the compaction of soil skeleton under the effect of natural or man-made factors, which can lead to serious disasters in the process of urbanization. The negative effects of land subside...

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Vydané v:	Environmental earth sciences Ročník 78; číslo 16; s. 1 - 12
Hlavní autori:	Mohammady, Majid, Pourghasemi, Hamid Reza, Amiri, Mojtaba
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2019 Springer Nature B.V
Predmet:	Algorithms Arid regions Artificial intelligence Biogeosciences buildings Deformation Disaster management Disasters Earth Earth and Environmental Science Earth Sciences Environmental protection Environmental Science and Engineering forestry equipment Geochemistry geographic information systems Geographical information systems Geology graphs groundwater Groundwater table Hydrology/Water Resources Hydrostatic pressure Industrial areas infrastructure Iran Land subsidence Land use Learning algorithms Learning theory Machine learning Mapping Morphology Original Article pipelines Plains Pore pressure Pore water Pore water pressure Precipitation rate prioritization Soil Soil compaction Soils Structural damage Submarine pipelines Subsidence Sustainable development Terrestrial Pollution Urbanization Water pressure Water table Iran Land subsidence Random forest Groundwater Iran Mean decrease Gini
ISSN:	1866-6280, 1866-6299
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