2013
DOI: 10.4236/ns.2013.52a041
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Subsidence associated with land use changes in urban aquifers with intensive extraction

Abstract:

Land use change is a major factor in alterations in natural processes and cycles. Remote sensing has become an excellent tool to evaluate technological changes in land cover and land use changes over large areas, such as those occurring in the Valley of San Luis Potosi (VSLP). Here, such changes have impacted a system which is 95% dependent on the aquifer. The methodology for the present study is based on the use of satellite images for the years 1976, 1986… Show more

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Cited by 5 publications
(4 citation statements)
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“…Many studies have reported the occurrence of land subsidence and its effects [3][4][5][6][7][8][9][10]. Studies dealing with monitoring and detecting subsidence are numerous [11][12][13][14][15][16][17], as well as works addressed to land subsidence modeling for calculating the expected magnitudes and rates of subsidence for different scenarios [18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Many studies have reported the occurrence of land subsidence and its effects [3][4][5][6][7][8][9][10]. Studies dealing with monitoring and detecting subsidence are numerous [11][12][13][14][15][16][17], as well as works addressed to land subsidence modeling for calculating the expected magnitudes and rates of subsidence for different scenarios [18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…The San Luis Potosí valley is a tectonic basin consisting of a graben and horst system, located in the Mexican Central Plateau physiographic province [95], [96]. Semi-arid climate is predominant in this study area, with a mean annual rainfall of 378 mm and a mean annual potential evaporation of 2038.7 mm [97].…”
Section: San Luis Potosí Valleymentioning
confidence: 99%
“…In this study, LULC is ranked 6th with a normalized weight of 0.04 (Table 3). Over time, the SLPB has presented several land-use changes (e.g., mining, urban, agricultural and industrial) [128]. Figure 9 shows the LULC map for the study area derived from the Supervised Classification.…”
Section: Rainfallmentioning
confidence: 99%