Title:
Multi-temporal analysis of groundwater depletion-induced land subsidence in Central Ganga Alluvial plain, Northern India

dc.contributor.authorAshwani Raju
dc.contributor.authorRitika Nanda
dc.contributor.authorAnjali Singh
dc.contributor.authorKapil Malik
dc.date.accessioned2026-02-07T11:12:15Z
dc.date.issued2022
dc.description.abstractThis study explores the Persistent Scatterer Interferometry technique to identify the developing pattern of groundwater depletion-induced land subsidence in Lucknow, northern India. The results show the development of two significant subsidence zones, one each in the north and south of Lucknow. The situation is potentially alarming as ∼9.3% (∼27.6 km2) of the total area is under the expression of a weak degree of subsidence (∼10–40 mm/yr). The detected displacement trends substantially correspond to the constant dwindling of groundwater levels in the city, further indicating that the first unconfined aquifer is under high stress and faces a continuous storage capacity loss with time. The time-series displacement trends have been later forecasted using the Autoregressive Integrated Moving Average method, indicating the city might face subsidence at the rate of ∼25–40 mm/yr. The findings of this study are significant to take precise mitigation measures in the areas facing continuous groundwater depletion on a long-term basis. © 2022 Informa UK Limited, trading as Taylor & Francis Group.
dc.identifier.doi10.1080/10106049.2022.2060322
dc.identifier.issn10106049
dc.identifier.urihttps://doi.org/10.1080/10106049.2022.2060322
dc.identifier.urihttps://dl.bhu.ac.in/bhuir/handle/123456789/42681
dc.publisherTaylor and Francis Ltd.
dc.subjectAutoregressive Integrated Moving Average (ARIMA) method
dc.subjectCentral Ganga Alluvial plain (CGAP)
dc.subjectLand subsidence
dc.subjectLucknow
dc.subjectPersistent Scatterer Interferometry (PSI)
dc.subjecttime-series forecasting
dc.titleMulti-temporal analysis of groundwater depletion-induced land subsidence in Central Ganga Alluvial plain, Northern India
dc.typePublication
dspace.entity.typeArticle

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