TY - JOUR
T1 - Land subsidence in central Mexico detected by ALOS InSAR time-series
AU - Chaussard, Estelle
AU - Wdowinski, Shimon
AU - Cabral-Cano, Enrique
AU - Amelung, Falk
N1 - Funding Information:
EC thanks the National Aeronautics and Space Administration (NASA) for support NESSF 11-Earth11F-0229 . FA thanks NASA for support NNX09AK72G and the National Science Foundation (NSF) for support EAR 0810214 . SW thanks NASA for the research grant NNX12AQ08G . ECC was supported through grants from UNAM_PAPIIT IN121515 , IN114907 , IN117909 , IN108611-2 , and IN104213-2 , and CONACYT projects 61212 , 82868 , and CB-101515 . The ALOS-PALSAR data are copyright of the Japanese Space Agency (JAXA) and the Japanese Ministry of Economy, Trade and Industry (METI) and were made available by the U.S. Government Research Consortium (USGRC) and the Alaska Satellite Facility (ASF).
PY - 2014/1
Y1 - 2014/1
N2 - Massive groundwater extraction is common throughout Mexico and is well known to result in land subsidence. However, most land subsidence surveys focus on one single city, mainly Mexico City, and thus fail to reveal the regional extent of the problem. Here we use 2007-2011 Interferometric Synthetic Aperture Radar (InSAR) time-series analysis of ALOS data to resolve land subsidence in the entire central Mexico region. We identify land subsidence in 21 areas, including 17 cities. Linear vertical rates over 30. cm/yr are observed in Mexico City, while in the other locations rates of 5-10. cm/yr are detected. We define 3 main categories of subsidence using the averaged velocity maps in conjunction with previously published structural, surface geology, and land use mapping: (1) rapid, large-scale subsidence, (2) rapid, local-scale subsidence, and (3) slow, patchy subsidence. The correlation between subsidence and land use confirms that groundwater extraction mainly for agricultural and urban activities is the main cause of land subsidence. We observe that the boundaries of the subsiding areas are typically characterized by high velocity gradients often coinciding with pre-existing faults, motion on these faults being driven by water extraction rather than by tectonic activity. Regional surveys of this type are necessary to understand the spatial and temporal evolution of land subsidence, to constrain the distribution and connectivity of water-bearing units, and ultimately to reach better hazard mitigation plans.
AB - Massive groundwater extraction is common throughout Mexico and is well known to result in land subsidence. However, most land subsidence surveys focus on one single city, mainly Mexico City, and thus fail to reveal the regional extent of the problem. Here we use 2007-2011 Interferometric Synthetic Aperture Radar (InSAR) time-series analysis of ALOS data to resolve land subsidence in the entire central Mexico region. We identify land subsidence in 21 areas, including 17 cities. Linear vertical rates over 30. cm/yr are observed in Mexico City, while in the other locations rates of 5-10. cm/yr are detected. We define 3 main categories of subsidence using the averaged velocity maps in conjunction with previously published structural, surface geology, and land use mapping: (1) rapid, large-scale subsidence, (2) rapid, local-scale subsidence, and (3) slow, patchy subsidence. The correlation between subsidence and land use confirms that groundwater extraction mainly for agricultural and urban activities is the main cause of land subsidence. We observe that the boundaries of the subsiding areas are typically characterized by high velocity gradients often coinciding with pre-existing faults, motion on these faults being driven by water extraction rather than by tectonic activity. Regional surveys of this type are necessary to understand the spatial and temporal evolution of land subsidence, to constrain the distribution and connectivity of water-bearing units, and ultimately to reach better hazard mitigation plans.
KW - Faults
KW - Groundwater
KW - InSAR
KW - Land subsidence
KW - Mexico
KW - SBAS time-series
KW - Tectonics
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U2 - 10.1016/j.rse.2013.08.038
DO - 10.1016/j.rse.2013.08.038
M3 - Article
AN - SCOPUS:84884368758
VL - 140
SP - 94
EP - 106
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
SN - 0034-4257
ER -