Sinkhole distribution in Winona County, Minnesota revisited

Magdalene, Suzanne; Alexander, E. Calvin

doi:10.1201/9780203749708-6

Cited by 5 publications

(2 citation statements)

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“…Regarding the spatial distribution of sinkholes, it is interesting to explore whether the new sinkholes tend to occur in the proximity of the pre-existing sinkholes and assess the predictive utility of the latter. Some authors contend that sinkholes are the best predictors of future subsidence events (e.g., Magdalene and Alexander, 1995). Kemmerly (1982) hypothesized that the formation of a sinkhole (mother doline) creates favourable conditions for the generation of new sinkholes (daughter dolines) in its vicinity.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Sinkholes in hypogene versus epigene karst systems, illustrated with the hypogene gypsum karst of the Sant Miquel de Campmajor Valley, NE Spain

et al. 2019

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The Garrotxa-Banyoles artesian aquifer system in NE Spain includes zones with epigene and hypogene evaporite karst and sinkhole development. The sinkhole fields related to hypogene evaporite dissolution are associated with the discharge zones of the aquifer, where groundwater from a confined limestone rises traversing an overlying gypsum formation capped by thick marls. This work analyses the sinkhole field developed in the Sant Miquel de Campmajor Valley (SMCV), a discharge area of the aquifer, where a cartographic inventory including 94 sinkholes has been produced. Sinkholes in this hypogene gypsum karst are mainly large caprock-collapse sinkholes rooted in deep-seated cavities generated by interstratal hypogene karstification, as corroborated by an electrical resistivity imaging (ERI) survey. They show a nonclustered distribution within the sinkhole field and the variations in size and density across the area are mainly controlled by the thickness of the marl caprock. The magnitude and frequency relationships of the sinkholes can be modelled with a high goodness of fit with a log-normal function, like in other regions of the world. However, in this deep-seated hypogene system the depressions show much larger dimensions. ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P TPotential differences between the sinkholes developed in hypogene and epigene karst environments are discussed, including their distribution with respect to the groundwater flow system, their spatial patterns and dimensions.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Sinkholes in hypogene versus epigene karst systems, illustrated with the hypogene gypsum karst of the Sant Miquel de Campmajor Valley, NE Spain

et al. 2019

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“…There were more studies on the utilization of karst depression in animal ecology, nature protection, geological tourism, geological relic protection, and geohazard prevention applications [38][39][40][41][42][43]. They have been studied quantitatively using spatial distribution parameters and morphological statistics [44][45][46][47][48]. With the improvement of DEM resolution in recent years, the recognition, characterization, and quantification of enclosed karst depressions have also been improved significantly.…”

Section: Introductionmentioning

confidence: 99%

Enclosed Karst Depression Identification and Analysis for the Pumped Storage Power Station Reservoir Construction Using DEM

Bo,

Tao,

Kexun

et al. 2023

Geofluids

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An enclosed karst depression, a typical natural negative terrain, has the advantage of less engineering excavation when constructing a reservoir. In this study, the enclosed karst depression and its range identification technique have been developed. What is more, the geometric parameters and spatial distribution of enclosed karst depressions in Anlong County, Guizhou Province of China, have also been analyzed. Results show that (1) the focus statistic method and local terrain contour tree model were developed to identify enclosed karst depression and its range using regular grid DEM data with 12.5 m spatial resolution, which has been applied to enclosed karst depression identification in Anlong County. (2) 7262 independent and nested depressions with an average density of 3.7/km2 were identified by using the proposed method. The effectiveness and reliability of the proposed model have been verified through comparative analysis and visual recognition comparison. (3) High-density depression areas (5.6 depressions/km2), medium-density depression areas (2.9 depressions/km2), and low-density depression areas (1.1 depressions/km2) were well classified through kernel density analysis. (4) The geometric parameters of enclosed karst depressions (area, perimeter, circularity, depth, elevation, slope, and volume) were all analyzed in the study area. In addition, an indicator called DCK (depression is caused by karstification) was proposed to evaluate the dissolution degree and karstification stage of the enclosed karst depression. Based on the DCK, we determined that around 2.7% of depressions were identified as middle-stage and suitable for reservoir construction with enough volume and good slope stability. The idea and method in this research could provide a technological support for the engineering utilization of enclosed karst depressions.

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Sinkholes at Glan Llyn on the A55 North Wales Coast Road, UK

Nichol¹

1998

Engineering Geology

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Sinkhole distribution in Winona County, Minnesota revisited

Cited by 5 publications

References 0 publications

Sinkholes in hypogene versus epigene karst systems, illustrated with the hypogene gypsum karst of the Sant Miquel de Campmajor Valley, NE Spain

Sinkholes in hypogene versus epigene karst systems, illustrated with the hypogene gypsum karst of the Sant Miquel de Campmajor Valley, NE Spain

Enclosed Karst Depression Identification and Analysis for the Pumped Storage Power Station Reservoir Construction Using DEM

Sinkholes at Glan Llyn on the A55 North Wales Coast Road, UK

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