scholarly journals History and Future of the Minnesota Karst Feature Database

Author(s):  
Robert Tipping ◽  
◽  
Matthew Rantala ◽  
E. Alexander ◽  
Yongli Gao ◽  
...  
Author(s):  
Yongli Gao ◽  
Emmit Calvin Alexander, Jr. ◽  
Michael J. Bounk ◽  
Robert G. Tipping

2016 ◽  
Vol 40 (4) ◽  
pp. 579-597 ◽  
Author(s):  
Peter P. Siska ◽  
Pierre Goovaerts ◽  
I-Kuai Hung

Dolines or sinkholes are earth depressions that develop in soluble rocks complexes such as limestone, dolomite, gypsum, anhydrite, and halite; dolines appear in a variety of shapes from nearly circular to complex structures with highly curved perimeters. The occurrence of dolines in the studied karst area is not random; they are the results of geomorphic, hydrologic, and chemical processes that have caused partial subsidence, even the total collapse of the land surface when voids and caves are present in the bedrock and the regolith arch overbridging these voids is unstable. In the study area, the majority of collapses occur in the regolith (bedrock cover) that bridges voids in the bedrock. Because these collapsing dolines may result in property damage and even cause the loss of lives, there is a need to develop methods for evaluating karst hazards. These methods can then be used by planners and practitioners for urban and economic development, especially in regions with a growing population. The purpose of the project reported in this paper is threefold: (1) to develop a karst feature database, (2) to investigate critical indicators associated with doline collapse, and (3) to develop a doline susceptibility model for potential doline collapse based on external morphometric data. The study has revealed the presence of short range spatial dependence in the distribution of the dolines’ morphometric parameters such as circularity, the geographic orientation of the main doline axes, and the length-to-width doline ratios; therefore, geostatistics can be used to spatially evaluate the susceptibility of the karst area for doline collapse. The partial susceptibility estimates were combined into a final probability map enabling the identification of areas where, until now, undetected dolines may cause significant hazards.


2020 ◽  
Vol 27 (16) ◽  
pp. 20410-20426
Author(s):  
Attila J. Trájer ◽  
Lilla Mlinárik ◽  
Tamás Hammer ◽  
Rita Földényi ◽  
János Somlai ◽  
...  
Keyword(s):  

2006 ◽  
Vol 20 (24) ◽  
pp. 3659-3668 ◽  
Author(s):  
Imma Ferrer ◽  
Amadeo Fernandez-Alba ◽  
Jerry A. Zweigenbaum ◽  
E. Michael Thurman

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Dong-Mei Pu ◽  
Da-Qi Gao ◽  
Yu-Bo Yuan

It is a very challenging work to classify the 86 billions of neurons in the human brain. The most important step is to get the features of these neurons. In this paper, we present a primal system to analyze and extract features from brain neurons. First, we make analysis on the original data of neurons in which one neuron contains six parameters: room type,X,Y,Zcoordinate range, total number of leaf nodes, and fuzzy volume of neurons. Then, we extract three important geometry features including rooms type, number of leaf nodes, and fuzzy volume. As application, we employ the feature database to fit the basic procedure of neuron growth. The result shows that the proposed system is effective.


2007 ◽  
Vol 10-12 ◽  
pp. 772-776 ◽  
Author(s):  
Chang Fu Zhang ◽  
D.J. Lu ◽  
Zhuang De Jiang

To enable designers to construct geometric models of MEMS devices in a straightforward environment and get mask and process flow automatically, a 3D MEMS CAD system for surface micromachined devices is proposed based on traditional design software—SolidWorks. With Application Programming Interfaces (APIs) of SolidWorks, component modules and databases of the system are developed with Visual Basic, such as geometric model design module, mask and process flow generation module, process simulation module, 3D feature database and material database. Their development method is discussed in this paper. A practical example shows that surface micromachined devices can be designed efficiently in the system without tedious fabrication process.


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