Analyzing urbanization induced groundwater stress and land deformation using time-series Sentinel-1 datasets applying PSInSAR approach.

Groundwater monitoring Land deformation PSInSAR Time-Series SAR Interferometry Urban growth

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
20 Oct 2022
Historique:
received: 22 02 2022
revised: 07 06 2022
accepted: 27 06 2022
pubmed: 11 7 2022
medline: 1 9 2022
entrez: 10 7 2022
Statut: ppublish

Résumé

Urban intensification has taken a serious toll on the groundwater reserves which is one of the primary sources of fresh water on earth. Exploitation of groundwater has exponentially increased over time, especially in urban landscapes, with ever increasing demands to cater the growing population and development processes. This emphasizes on the importance of proper monitoring of the groundwater variations, which is a difficult process for not being directly accessible for physical measurements. Therefore, it is essential to develop advanced innovative indirect methods to help long-term monitoring of groundwater reserves at a relatively higher resolution, so that local level variations and their impact could be studied in case of excessively exploited zones, like cities. Recent studies have linked land-subsidence to over-exploitation of groundwater, which can be critical for urban scenario, which requires longer duration for replenishment. Thus, this study focuses on monitoring of the groundwater variations using time-series Sentinel-1 Interferometric SAR (InSAR) datasets by retrieving land deformation by PsInSAR (Persistent Scatterer Interferometric SAR) technique; applying phase information of permanent scattering candidates. 58 and 60 images were acquired during ascending and descending passes respectively between 9/10/2014 to 2/7/2020 for the study area i.e., Lucknow city (India) and its surroundings. The field measurements of groundwater level for various seasons (pre and post monsoons) were acquired from the Central Groundwater Board, Government of India (CGWB). Besides, Landsat 5 and 8 datasets were utilized to analyze the pattern of urban growth for a 30-year period and predict the near future scenario. In-depth analysis of all the components revealed a direct relationship between land deformation, groundwater variations and urban expansion. A high correlation coefficient of 0.886 was observed between groundwater level variation and the retrieved deformation measured along the groundwater wells along the deformation zones. Therefore, the overall analysis and results indicate that PsInSAR technique has great potential for estimating the groundwater levels and surface deformation at higher resolution and could be easily applied for any other city for continuous assessment.

Identifiants

pubmed: 35810885
pii: S0048-9697(22)04200-0
doi: 10.1016/j.scitotenv.2022.157103
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

157103

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no conflict of interest.

Auteurs

Shubham Awasthi (S)

Centre of Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, Uttarakhand, India. Electronic address: sawasthi@dm.iitr.ac.in.

Kamal Jain (K)

Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India. Electronic address: kjainfce@iitr.ac.in.

Sutapa Bhattacharjee (S)

Department of Civil Engineering, Indian Institute of Technology Guwahati, Assam, India. Electronic address: bhatt176104109@iitg.ac.in.

Vivek Gupta (V)

School of Engineering, Indian Institute of Technology Mandi, Himachal Pradesh, India. Electronic address: vivekgupta@iitmandi.ac.in.

Divyesh Varade (D)

Department of Civil Engineering, Indian Institute of Technology Jammu, India. Electronic address: divyesh.varade@iitjammu.ac.in.

Hemant Singh (H)

Department of Civil Engineering, Indian Institute of Technology Jammu, India. Electronic address: hemant.singh@iitjammu.ac.in.

Avadh Bihari Narayan (AB)

Department of Civil Engineering, Indian Institute of Technology Tirupati, Andhra Pradesh, India. Electronic address: avadhbn@iittp.ac.in.

Alessandra Budillon (A)

Department of Engineering, University of Naples "Parthenope", Naples, Italy. Electronic address: alessandra.budillon@uniparthenope.it.

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