M. Pishro
Department of Geomorphology, Faculty of Geography Sciences, Kharazmi University, Tehran, Iran
[ 1 ] - Modeling and zoning of land subsidence in the southwest of Tehran using artificial neural networks
The earth's surface, due to its natural conditions and its structure is always changing and reshaping. One of the created deformations is the land subsidence. This is the most dangerous events which can be seen in most urban areas especially in the agricultural plains today. This study aims at zoning land subsidence and recognition of geometrical factors in southwest of Tehran. To estimate and ...
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