The present review paper focuses on selected cases around the world of land subsidence
phenomena caused by the overexploitation of aquifers. Land subsidence is closely related …

Land subsidence is probably one of the most evident environmental effects of groundwater
pum**. Globally, freshwater demand is the leading cause of this phenomenon. Land …

In this study, land subsidence susceptibility was assessed for a study area in South Korea by
using four machine learning models including Bayesian Logistic Regression (BLR), Support …

Land subsidence is one of the frequent geological hazards worldwide. Urban areas and
agricultural industries are the entities most affected by the consequences of land …

Areas at risk of land subsidence in Jakarta can be identified using a land subsidence
susceptibility map. This study evaluates the quality of a susceptibility map made using …

In this paper, land subsidence susceptibility was assessed for Shahryar County in Iran using
the adaptive neuro-fuzzy inference system (ANFIS) machine learning algorithm. Another aim …

Land subsidence occurrence in the Tasuj plane is becoming more frequent and hazardous
in the near future due to the water crisis. To mitigate damage caused by land subsidence …

Accurate subsidence inventory data, based on an understanding of local topography, are a
crucial first step toward reliable subsidence prediction and map** future subsidence …

To effectively prevent land subsidence over abandoned coal mines, it is necessary to
quantitatively identify vulnerable areas. In this study, we evaluated the performance of …

Ground subsidence in abandoned underground coal mine areas can result in loss of life and
property. We analyzed ground subsidence susceptibility (GSS) around abandoned coal …