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

• Published in: The Science of the total environment Vol. 844; p. 157103
• Main Authors: Awasthi, Shubham, Jain, Kamal, Bhattacharjee, Sutapa, Gupta, Vivek, Varade, Divyesh, Singh, Hemant, Narayan, Avadh Bihari, Budillon, Alessandra
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 20-10-2022
• Subjects: Groundwater monitoring; Land deformation; PSInSAR; Time-Series SAR Interferometry; Urban growth; PSInSAR; Urban growth; Land deformation; Groundwater monitoring; Time-Series SAR Interferometry
• ISSN: 0048-9697; 1879-1026
• DOI: 10.1016/j.scitotenv.2022.157103

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.
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•PSInSAR approach using Sentinel-1 datasets reveals significant land subsidence in the Lucknow region.•Groundwater fluctuations due to alarming pace of sub-surface water pumping causes significant impact on land subsidence in Lucknow.•The declining ground water, land subsidence and the urban growth shows asignificant linkage in the Lucknow region.•A significant correlation is observed between the ground water level variation and the surface displacement.