Depreciation factor equation to evaluate the economic losses from ground failure due to subsidence related to groundwater withdrawal

Subsidence due to groundwater withdrawal is a complex hydrogeological process affecting numerous cities settled on top of fluviolacustrine deposits. The discrete spatial variation in the thickness of these deposits, in combination with subsidence due to groundwater withdrawal, generates differential...

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Published inNatural science (Irvine, Calif.) Vol. 6; no. 3; pp. 108 - 113
Main Authors Hernández-Madrigal, Víctor Manuel, Muñiz-Jáuregui, Jesús Arturo, Garduño-Monroy, Víctor Hugo, Flores-Lázaro, Netzahualcoyotl, Figueroa-Miranda, Sócrates
Format Journal Article
LanguageEnglish
Published 01.02.2014
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Summary:Subsidence due to groundwater withdrawal is a complex hydrogeological process affecting numerous cities settled on top of fluviolacustrine deposits. The discrete spatial variation in the thickness of these deposits, in combination with subsidence due to groundwater withdrawal, generates differential settlements and aseismic ground failure (AGF) characterized by a welldefined scarp. In cities, such AGF causes severe damages to urban infrastructure and considerable economic impact. With the goal of arriving to a general criterion for evaluating the economic losses derived from AGF, in the present work we propose the following equation: EL sub(i) = PV sub(i)*DF sub(i). Where PV sub(i) is the value of a property "i", and DF sub(i) is a depreciation factor caused by structural damages of a property "i" due to AGF. The DF sub(i) is calculated empirically through: . This last equation is based on the spatial relations of coexistence and proximity of property polygons and the AGF axis. The coexistence is valued as the quotient of the affectation area divided by the total area of the involved property; and the proximity to the AGF axis is expressed as the inverse of the perpendicular distance from the centroid of the property polygon to the AGF axis. The sum of these terms is divided by two to determine the percentage that affects the property value (PV sub(i)). These equations are relevant because it is the first indicator designed for the discrete assessment of the economic impacts due to AGF, and can be applied to real estate infrastructure from either urban or rural areas.
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ISSN:2150-4091
2150-4105
DOI:10.4236/ns.2014.63015