2020
DOI: 10.1038/s41598-020-67989-1
|View full text |Cite
|
Sign up to set email alerts
|

Extreme subsidence in a populated city (Mashhad) detected by PSInSAR considering groundwater withdrawal and geotechnical properties

Abstract: Ground deformation can cause serious environmental issues such as infrastructure damage, ground compaction, and reducing the ground capacity to store water. Mashhad, as one of the largest and most populated cities in the Middle East, has been suffering from extreme subsidence. In the last decade, some researchers have been interested in measuring land subsidence rates in the Mashhad valley by InSAR techniques. However, most of those studies were based on inaccurate measurements introducing uncertainties in the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
38
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 62 publications
(38 citation statements)
references
References 67 publications
0
38
0
Order By: Relevance
“…Satellite interferometric techniques, such as persistent scatterer interferometric synthetic aperture radar (PSInSAR), provides the means for less tedious, cost-effective, large spatial coverage (basin level) mapping of ground movement without compromising on accuracy and precision [15][16][17][18]. This technique was first introduced by Alessandro Ferretti in 2000 [19] and has been developed and applied for mapping surface deformation associated with groundwater change [14,[20][21][22][23]. While PSInSAR can provide accurate land deformation information, it can only be calculated on permanent scatterers that maintain stable scattering with respect to time.…”
Section: Introductionmentioning
confidence: 99%
“…Satellite interferometric techniques, such as persistent scatterer interferometric synthetic aperture radar (PSInSAR), provides the means for less tedious, cost-effective, large spatial coverage (basin level) mapping of ground movement without compromising on accuracy and precision [15][16][17][18]. This technique was first introduced by Alessandro Ferretti in 2000 [19] and has been developed and applied for mapping surface deformation associated with groundwater change [14,[20][21][22][23]. While PSInSAR can provide accurate land deformation information, it can only be calculated on permanent scatterers that maintain stable scattering with respect to time.…”
Section: Introductionmentioning
confidence: 99%
“…This advantage is attributed to the ascending and descending trajectory of the SAR satellites [29]. InSAR, however, does not directly measure displacement in the vertical direction but the Line of Sight (LOS); therefore, it requires projection of the LOS displacement to the vertical direction [30]. Several algorithms have been developed to ensure that the projection to both the vertical and horizontal directions is reliable enough to achieve accuracy comparable to Global Positioning Systems (GPS) and Levelling [28] [30].…”
Section: Introductionmentioning
confidence: 99%
“…Several algorithms have been developed to ensure that the projection to both the vertical and horizontal directions is reliable enough to achieve accuracy comparable to Global Positioning Systems (GPS) and Levelling [28] [30]. In this study, we employ a technique where a combination of ascending and descending satellite tracks of significantly different geometrical properties are used to derive vertical displacement [30]. We here, however, put emphasis on the vertical displacement that is well estimated by InSAR and used PS-InSAR to derive displacement points in the vertical, which points are more comparable with GPS points in contrast to if we had used Small Baseline Subset (SBAS) advanced In-SAR algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…In urban areas, abundant PS points can be obtained to characterize regional land subsidence based on PS-InSAR data. Many studies have applied this method to successfully monitor urban land subsidence (Roque et al 2014;Minh et al 2015;Jiang et al 2016;Aslan et al 2018;Khorrami et al 2020).…”
Section: Introductionmentioning
confidence: 99%