scholarly journals Evaluating susceptibility of karst dolines (sinkholes) for collapse in Sango, Tennessee, USA

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.

2021 ◽  
Vol 926 (1) ◽  
pp. 012071
Author(s):  
H Syafarini ◽  
H Hendrayana ◽  
S Winardi

Abstract The karst area on Rote Island dominates more than 60% of the Island. The land surface conditions in karst areas are generally dry, while below the subsurface is the potential for abundant water resources. This study aims to assess groundwater vulnerability using the APLIS (Altitude, Pendiete/Slope, Lithology, Infiltration, and Soils) method that will integrate with Geographic Information System (GIS) technique. The parameters used are elevation, slope, lithology, infiltration zone, and soil type. Slope and elevation are obtained from DEM maps, the soil is obtained from soil type maps, while lithology and infiltration zone are obtained from geological maps. The lithology and the infiltration zone in APLIS method analysis have a high role in determining the level of groundwater vulnerability. The groundwater vulnerability in Rote Island was divided into four classes: very low in the Northeast, low in the South, moderate in the East and North, and high in the East and West part of the Island. It explains that a high level of groundwater vulnerability in Rote Island needs to be used as a groundwater protection zone.


2019 ◽  
pp. 46-56
Author(s):  
E. S. Azarov

This article is devoted to the probability maps have been constructed for predicting the zones of residual oil reserves using the example of deposits in Shaim region. The refinement of the previously presented algorithm [4] has been made, which helps with a fairly high degree of probability to quickly localize the residual oil reserves based on 2D modeling. In the process of work, the influence of many geological and technological parameters on the final probability map was established, the influence of the observation zone on the value of the correlation coefficient of the map of residual mobile oil reserves with the map of current mobile oil reserves based on geological and hydrodynamic modeling was established.


2021 ◽  
Vol 31 (1) ◽  
pp. 28-36
Author(s):  
Lavinia Daiana GARAI ◽  

The aim of the present paper is to determine the morphometric parameters and features of Boiului Valley hydrographic basin. The basin is located in a karst area, in Pădurea Craiului Mountains, Romania, which makes it special, as the rivers flow through soluble rocks. We selected a small basin in order to analyse its morphometric elements and check if the morphometric laws of hydrographic basins are respected in the same way by the rivers flowing in karst areas. We applied the classical working method, that is processing the information from the topographic maps and with the help of the ArcGis soft we managed to measure the major morphometric indicators: the surface of the basin, the area, the shape factor, the length and width of the basin, drainage basin asymmetry factor and sinuosity index.


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

DYNA ◽  
2020 ◽  
Vol 87 (214) ◽  
pp. 204-214
Author(s):  
Carlos David Ojeda Flechas ◽  
Jaime Alejandro Burbano Rodriguez ◽  
Yesid Carvajal Escobar ◽  
Francisco Luis Hernández Torres

The Synthesized Drought Index in the Valle del Cauca was evaluated, applying Principal Component Analysis to satellite images that described: Land Surface Temperature, Normalized Difference Vegetation Index and Precipitation. The magnitude of drought represented by this index was identified in the first component and validated with the Quarterly Standardized Precipitation Index (SPI – 3), obtained from 78 weather stations, which achieved correlations of between 0.55 and 0.71 during warm ENSO events. Comprehensive drought in the department was characterized by exhibiting areas of non-drought in the southwest, in the center-south a transition phase from wet to extremely dry, the Inter-Andean Valley showed sectors of severe drought, and to the east, extremely dry areas. Additionally, in a pilot municipality in the driest area of the department, a susceptibility model was implemented to detect areas affected by drought, applying the Analytical Hierarchical Process.


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Fapeng Yan ◽  
Wei Shangguan ◽  
Jing Zhang ◽  
Bifeng Hu

AbstractDepth to bedrock influences or controls many of the Earth’s physical and chemical processes. It plays important roles in soil science, geology, hydrology, land surface processes, civil engineering, and other related fields. However, information about depth to bedrock in China is very deficient, and there is no independent map of depth to bedrock in China currently. This paper describes the materials and methods to produce high-resolution (100 m) depth-to-bedrock maps of China. For different research and application needs, two sets of data are provided for users. One is the prediction by the ensemble of the random forests and gradient boosting tree models, and the other is the prediction and the uncertainty of prediction based on quantile regression forests model. In comparison with depth-to-bedrock maps of China extracted from previous global predictions, our predictions showed higher accuracy and more spatial details. These data sets can provide more accurate information for Earth system research compared with previous depth-to-bedrock maps.


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