Introducing a new framework for mapping subsidence vulnerability indices (SVIs): ALPRIFT

A study of subsidence hotspots by mapping vulnerability indices through innovatory ‘ALPRIFT’ using artificial intelligence at two levels

“…Research on land subsidence is topical in engineering and environmental research, as its impacts are observed in many countries including China, Iran, Japan, Singapore, Thailand and the USA (Ye et al 2015;Nadiri et al 2018a;Hayashi et al 2009;Phien-wej et al 2006;Zhang et al 2018;Goh et al 2019;Galloway et al 1999). Some engineering impacts of subsidence are outlined by Kihm et al (2007), which include the following: (i) a collapse of water wells and the breakage of their casings and ancillary works by compacted soil due to decline of the water table in aquifers; (ii) the requirement for realignment of diversion structures in open channels; (iii) redistribution of stresses and strains in building works and structures creating the potential for excessive forces and subsequent failures.…”

“…These studies are triggered by a host of processes including the following: (i) excessive water abstraction from aquifers, e.g. in Thailand, Spain, Iran and China (Lorphensri et al 2011;Schmid et al 2014;Mateos et al 2017;Nadiri et al 2018a;Wang et al 2019); (ii) degradation in organic soils, e.g. Venice, Italy (Tosi et al 2013); (iii) extraction of underground fossil fuels, e.g.…”

“…The ALPRIFT framework, introduced recently by Nadiri et al (2018a), integrates both geogenic and anthropogenic dimensions to identify potential hotspots for subsidence from local data. It is a mapping technique, which models Subsidence Vulnerability Indices (SVI) using seven general-purpose data layers, as well as those from satellite remote sensing, including direct measurements for ground-truthing.…”

A hybrid clustering-fusion methodology for land subsidence estimation

“…In the previous decades, several studies have performed monitoring and analyzing land subsidence due to groundwater withdrawal based on observations from satellites and radars such as Environmental Satellite Advanced Synthetic Aperture Radar (ENVISAT ASAR) (Osmanoglu et al 2011;Yue et al 2011;Ng et al 2012;Dehghani et al 2013;Strozzi et al 2017;Deng et al 2017;Lu et al 2018;Du et al 2018). Interferometry Synthetic Aperture Radar (InSAR) is one such technique that provides accurate measurements of land subsidence (Amelung et al 1999;Carnec and Fabriol 1999;Nakagawa et al 2000;Ding et al 2004;Dehghani et al 2009;Yu et al 2011;Calderhead et al 2011;Cigna et al 2012;Teatini et al 2012;Qu et al 2014;Strozzi et al 2017;Lu et al 2018;Du et al 2018;Nadiri et al 2018). Another such techinque is Persistant Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) that is recently developed to address the decorrelation problem in land subsidence estimation, and is widely used in the literature (Jung et al 2007;Osmanoglu et al 2011;Cigna et al 2012;Teatini et al 2012;Dehghani et al 2013;Strozzi et al 2013;Wu and Hu 2016;Sun et al 2017;Deng et al 2017;Maghsoudi et al 2018).…”

تحلیل آسیب‌پذیری فرونشست آبخوان دشت مرند با استفاده از روش A‌l‌p‌r‌i‌f‌t بر اثر بهره‌برداری بیش از حد از منابع آب زیرزمینی

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