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山西省地质灾害特点和时空分布研究
引用本文:李淼.山西省地质灾害特点和时空分布研究[J].中州煤炭,2018,0(8):89-93.
作者姓名:李淼
作者单位:(山西省煤炭地质148勘查院,山西 太原 030053)
摘    要:山西地处黄土高原东部,地形高差大,地质条件复杂,水土流失严重,极易形成崩塌、滑坡、泥石流等地质灾害。在综合前人研究的基础上,对山西省地质灾害的特点时空分布进行研究,发现山西省地质灾害具有以下特点:崩塌、地面塌陷、滑坡是山西的三大地质灾害;次生地质灾害是山西省地质灾害的主要形式,人类活动是山西地质灾害频发的一个重要诱因;3月—4月、6月—9月和10月是全省地质灾害的高发期;吕梁、临汾、忻州、长治、太原等市是全省地质灾害高发地区;东部褶皱山区和晋西黄土地貌区是全省地质灾害最易发的地区;黄土地地貌区是崩塌和泥石流的重点易发区;地面沉降和地裂缝主要发生在城市。该研究对山西省地质灾害的防治具有一定的指导意义。

关 键 词:山西  地质灾害  时空分布

 Study on characteristics and spatial-temporal distribution of geological disasters in Shanxi Province
Li Miao. Study on characteristics and spatial-temporal distribution of geological disasters in Shanxi Province[J].Zhongzhou Coal,2018,0(8):89-93.
Authors:Li Miao
Affiliation:(Coal Geological Exploration 148 Institute of Shanxi Province,Taiyuan 030053,China)
Abstract:Shanxi is located in the eastern part of the Loess Plateau,the terrain height difference,and geological conditions are complex,soil erosion serious,which are easy to form collapse,landslides,debris flow and other geological disasters.Based on the analysis of the types and occurrence characteristics of geological disasters in Shanxi Province,it was found that geological disasters in Shanxi Province have the following characteristics:collapse,ground subsidence,landslide and the three major geological disasters in Shanxi;secondary geological disasters were the main form of geological disasters in Shanxi Province;human activities were an important cause of frequent geological disasters in Shanxi.March to April,June to September and October and the province′s high incidence of geological disasters;Lüliang,Linfen,Xinzhou,Changzhi,Taiyuan and other cities were the province′s high-risk areas of geological disasters;yellow land landform was the focus of collapse and debris flow prone area;ground subsidence and ground fissures were mainly occurred in the city.The article has a certain guiding significance to the prevention and control of geological disasters in Shanxi Province.
Keywords:,Shanxi Province, geological disaster, time and space distribution
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