Sinkhole hazard assessment in Minnesota using a decision tree model

Geospatial subsidence hazard modelling at Sterkfontein Caves

“…Particularly, it has been found that extensive groundwater withdrawal can result in substantial subsidence and loss of property (Abidin, et al, 2001). Gao and Alexander did subsidence hazard modelling and included rock geology and distance to the nearest sinkhole, but did not include topographical land use factors into their model (Gao and Alexander, 2008). Green, et al (2002) studied Karst mapping using GIS and described hydrology as one of the factors of subsidence and sinkhole formation.…”

Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Fourteenth Multidisciplinary Conference

“…Geoinformatics technology or GIS applications can be used to develop multi-parametric models that can make predictions based on a set of training examples. Several studies have developed multi-parameter models based on multi-scenario considerations to make predictions on the occurrence of sinkholes, cavities and other geohazards (Koutepov et al 2008;Gao et al 2007;Yilmaz, 2007;Cooper, 2007;Tolmachev, 2003;Ragozin andYolkin, 2004, Kaufmann, 2008) The purpose of multi-parametric model in assessing cavity collapse hazards is to divide the study area into subareas of different hazard or probability levels. To this end, spatial data mining aids in discovering spatial patterns among various contributing parameters (Shekhar and Chawla, 2002).…”

Geospatial Modeling for Sinkholes Hazard Map Based on GIS & RS Data

“…The environmental conditions most commonly thought to control sinkhole morphometry are the underlying geology, including bedrock, fractures and faults, soil depth to bedrock, and local hydrology [8,9]. There is a need to develop a more detailed karst map by identifying and ranking factors that control the morphometry of mapped sinkhole formations.…”

“…Karst terrain is very difficult to map. Sinkholes are the most common karst features mapped because they are an indicator of bedrock dissolution, and they can be recognized on topographic maps or through remote sensing techniques [5]. "Reference [17]" located sinkholes through stereoscopic viewing of panchromatic aerial photography and plotted them on 1:24,000 scale topographic maps.…”

“…Preferably, the hazard should include two components: the probability of sinkhole occurrence and the expected severity of the future sinkholes [4]. "Reference [5]" quantifies bedrock geology, depth to bedrock, sinkhole density, and distances to the nearest sinkhole in southeastern Minnesota but potential controlling factors such as structural control, topographic settings, human activities, and land-use are not yet built into the model. "Reference [6]" conducted a comparable study to produce a sinkhole density map of 385 sinkholes in the Forest City Quadrangle of Central Florida.…”