Preprints
https://doi.org/10.5194/nhess-2017-234
https://doi.org/10.5194/nhess-2017-234
05 Jul 2017
 | 05 Jul 2017
Status: this preprint was under review for the journal NHESS but the revision was not accepted.

Detection of Land Subsidence due to Excessive Groundwater Use Varying with Different Land Cover Types in Quetta valley, Pakistan Using ESA-Sentinel Satellite Data

Waqas Ahmad, Minha Choi, Soohyun Kim, and Dongkyun Kim

Abstract. In this study, we show that land subsidence in Quetta valley, Pakistan is caused by exploitation of groundwater based on the analysis of European Space Agency (ESA) Sentinel satellite data. For this, we performed interferometry analysis using twenty nine Sentinel-1 SAR images to obtain twenty eight interferograms of land subsidence for the period between 16 Oct 2014 and 06 Oct 2016. Then, the land subsidence was compared with the land cover of the study area that was derived from Sentienl-2 multispectral images. The results reveal that, for the period of two years, the entire study area experienced highly uneven land subsidence with its magnitude ranging between 10 mm to 280 mm. The spatial pattern of land subsidence showed a high correlation with that of land covers. While urban and cultivated area with high groundwater extraction showed great amount of land subsidence, barren and seasonally cultivated area did not show as much land subsidence.

Waqas Ahmad et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Waqas Ahmad et al.

Waqas Ahmad et al.

Viewed

Total article views: 1,977 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,072 841 64 1,977 55 51
  • HTML: 1,072
  • PDF: 841
  • XML: 64
  • Total: 1,977
  • BibTeX: 55
  • EndNote: 51
Views and downloads (calculated since 05 Jul 2017)
Cumulative views and downloads (calculated since 05 Jul 2017)

Viewed (geographical distribution)

Total article views: 1,844 (including HTML, PDF, and XML) Thereof 1,836 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Dec 2023
Download
Altmetrics