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唐山市岩溶塌陷安全评价
引用本文:朱庆杰,苏幼坡,刘廷全.唐山市岩溶塌陷安全评价[J].中国安全科学学报,2004,14(2):91-94.
作者姓名:朱庆杰  苏幼坡  刘廷全
作者单位:河北省地震工程研究中心
基金项目:国家计委科技项目 (攻关 )计划 (98- 0 1- 0 2 ),河北省科学技术研究项目 (0 32 76 90 1)资助
摘    要:岩溶塌陷是一种对城市建设构成很大威胁的地质灾害 ,安全评价的关键是找到各种影响因素与岩溶塌陷的关联关系。笔者通过分析岩溶塌陷的成因模式与主要影响因素 ,依据唐山市的具体情况 ,研究了唐山市岩溶塌陷的评价因素 ;应用人工神经网络方法 ,根据已知的第四系厚度、地下水位埋深和水位标高数据 ,建立了岩溶塌陷安全性评价数学模型 ;进而预测了唐山市岩溶塌陷危险性分布。根据安全性评价数学模型计算的结果 ,对城市规划工作提出了几点建议。

关 键 词:唐山  岩溶塌陷  安全评价  神经网络  数学模
修稿时间:2003年7月1日

Safety Evaluation of Karst Collapse in Tangshan City
ZHU Qing-jie,Prof. SU You-po,Prof. LIU Ting-quan,Assoc.Prof..Safety Evaluation of Karst Collapse in Tangshan City[J].China Safety Science Journal,2004,14(2):91-94.
Authors:ZHU Qing-jie  Prof SU You-po  Prof LIU Ting-quan  AssocProf
Institution:Earthquake Engineering Research Center of Hebei Province
Abstract:Karst collapse is a very dangerous geological disaster, which endangers the safety of city construction. The key of safety evaluation is to find the correlation between the collapse and various influential factors. By analyzing the genetic model and main influential factors of karst collapse and referring to the characteristics of the data in Tangshan city, the evaluation factors were investigated. Based on the thickness of the Quaternary period, the depth of groundwater, and the elevation of water level, an artificial neural network method was applied, and mathematical model of karst collapse safety evaluation was established. The distribution of karst collapse risks in Tangshan city was predicted. The calculation results were analyzed and some suggestions for city planning were given.
Keywords:Tangshan  Karst collapse  Safety evaluation  Neural network  Mathematical model
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