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Integrated analysis of Hashtgerd plain deformation, using Sentinel-1 SAR, geological and hydrological data
K. N. Toosi University of Technology, Tehran, Iran.
K. N. Toosi University of Technology, Tehran, Iran.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Computer and Geospatial Sciences, Geospatial Sciences. Lantmäteriet.ORCID iD: 0000-0003-1744-7004
Shahid Beheshti University, Tehran, Iran.
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2022 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 12, article id 21522Article in journal (Refereed) Published
Abstract [en]

Due to its proximity to Tehran, the Hashtgerd catchment in Iran is an important region that has experienced alarming subsidence rates in recent years. This study estimated the ground surface deformation in the Hashtgerd plain between 2015 and 2020 using Sentinel-1 SAR data and InSAR technique. The average LOS displacement of the ascending and descending tracks was -23 cm/year and -22 cm/year, respectively. The central area of the plain experienced the greatest vertical subsidence, with a more than -100 cm cumulative displacement. The Karaj-Qazvin railway and highway that pass through this area have been damaged by subsidence, according to an analysis of profiles drawn along the transportation lines. The southern sections of Hashtgerd city have experienced a total displacement of -30 cm/year over the course of about six years. The relationship between changes in groundwater level and subsidence rate in this region was examined using piezometer and precipitation data. Geoelectric sections and piezometric well logs were also utilized to investigate the geological characteristics of the Hashtgerd aquifer. According to the findings, the leading causes of subsidence were uncontrolled groundwater abstraction. This research highlights the need to comprehend the spatial distribution of confined aquifers and their effect on subsidence, which can aid in the development of a suitable management strategy to restore these aquifers.

Place, publisher, year, edition, pages
Springer Nature, 2022. Vol. 12, article id 21522
Keywords [en]
InSAR, deformation, remote sensing, subsidence, groundwater, geology, hydrology, subsidence, Iran
National Category
Oceanography, Hydrology and Water Resources Earth and Related Environmental Sciences Remote Sensing
Identifiers
URN: urn:nbn:se:hig:diva-40571DOI: 10.1038/s41598-022-25659-4ISI: 000969714800001PubMedID: 36513695Scopus ID: 2-s2.0-85144106849OAI: oai:DiVA.org:hig-40571DiVA, id: diva2:1716740
Available from: 2022-12-06 Created: 2022-12-06 Last updated: 2023-09-08Bibliographically approved

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Nilfouroushan, Faramarz

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