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A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping

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Figure

Figure 1. Study area: (a) north of Iran; (b) Amol County; (c) surface deformation map.
Figure 2. Nine input land subsidence factors used in the ANFIS model: (a) land use/cover; (b) ground water level; (c) aspect; (d) DEM; (e) distance to streams; (f) rainfall; (g) density of wells; (h) slope; (i) lithology.
Table 1. Lithology of Amol County.
Figure 4. The flowchart of the integrated methodology for land subsidence susceptibility mapping and accuracy assessment.
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