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评估美国田纳西州桑戈岩溶漏斗(落水洞)的塌陷敏感性。

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

作者信息

Siska Peter P, Goovaerts Pierre, Hung I-K

机构信息

Department of Geography and Environmental Science, Liverpool Hope University, Liverpool, UK.

BioMedware, Ann Arbor, MI, 48104 USA.

出版信息

Prog Phys Geogr. 2016 Aug;40(4):579-597. doi: 10.1177/0309133316638816. Epub 2016 Apr 7.

DOI:10.1177/0309133316638816
PMID:27616807
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5016797/
Abstract

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 this project 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.

摘要

落水洞是在石灰岩、白云岩、石膏、硬石膏和石盐等可溶岩复合体中形成的地表凹陷;落水洞呈现出各种形状,从近乎圆形到周边高度弯曲的复杂结构。研究的岩溶地区落水洞的出现并非随机;它们是地貌、水文和化学过程的结果,这些过程导致了局部沉降,甚至当基岩中存在空洞和洞穴且覆盖这些空洞的风化层拱不稳定时,会导致地表完全塌陷。在研究区域,大多数塌陷发生在覆盖基岩空洞的风化层(基岩覆盖层)中。由于这些塌陷的落水洞可能会造成财产损失甚至导致人员伤亡,因此需要开发评估岩溶灾害的方法。然后,规划者和从业者可以使用这些方法进行城市和经济发展,特别是在人口不断增长的地区。该项目的目的有三个:1)建立岩溶特征数据库,2)研究与落水洞塌陷相关的关键指标,3)基于外部形态测量数据开发潜在落水洞塌陷的易发性模型。研究表明,落水洞形态测量参数(如圆形度、主要落水洞轴线的地理方位以及落水洞长宽比)的分布存在短程空间依赖性;因此,地统计学可用于在空间上评估岩溶地区落水洞塌陷的易发性。将部分易发性估计值合并到最终概率图中,能够识别出到目前为止未被发现的落水洞可能造成重大危害的区域。

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