Li Shuai, Ni Zhongyun, Zhao Yinbing, Hu Wei, Long Zhenrui, Ma Haiyu, Zhou Guoli, Luo Yuhao, Geng Chuntao
College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China.
College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China.
Int J Environ Res Public Health. 2022 Mar 9;19(6):3229. doi: 10.3390/ijerph19063229.
Multitemporal geohazard susceptibility analysis can not only provide reliable results but can also help identify the differences in the mechanisms of different elements under different temporal and spatial backgrounds, so as to better accurately prevent and control geohazards. Here, we studied the 12 counties (cities) that were severely affected by the Wenchuan earthquake of 12 May 2008. Our study was divided into four time periods: 2008, 2009-2012, 2013, and 2014-2017. Common geohazards in the study area, such as landslides, collapses and debris flows, were taken into account. We constructed a geohazard susceptibility index evaluation system that included topography, geology, land cover, meteorology, hydrology, and human activities. Then we used a random forest model to study the changes in geohazard susceptibility during the Wenchuan earthquake, the following ten years, and its driving mechanisms. We had four main findings. (1) The susceptibility of geohazards from 2008 to 2017 gradually increased and their spatial distribution was significantly correlated with the main faults and rivers. (2) The Yingxiu-Beichuan Fault, the western section of the Jiangyou-Dujiangyan Fault, and the Minjiang and Fujiang rivers were highly susceptible to geohazards, and changes in geohazard susceptibility mainly occurred along the Pingwu-Qingchuan Fault, the eastern section of the Jiangyou-Dujiangyan Fault, and the riparian areas of the Mianyuan River, Zagunao River, Tongkou River, Baicao River, and other secondary rivers. (3) The relative contribution of topographic factors to geohazards in the four different periods was stable, geological factors slowly decreased, and meteorological and hydrological factors increased. In addition, the impact of land cover in 2008 was more significant than during other periods, and the impact of human activities had an upward trend from 2008 to 2017. (4) Elevation and slope had significant topographical effects, coupled with the geological environmental effects of engineering rock groups and faults, and river-derived effects, which resulted in a spatial aggregation of geohazard susceptibility. We attributed the dynamic changes in the areas that were highly susceptible to geohazards around the faults and rivers to the changes in the intensity of earthquakes and precipitation in different periods.
多期地质灾害易发性分析不仅能提供可靠结果,还能帮助识别不同要素在不同时空背景下的机制差异,从而更好地精准防控地质灾害。在此,我们研究了2008年5月12日受汶川地震严重影响的12个县(市)。我们的研究分为四个时间段:2008年、2009 - 2012年、2013年以及2014 - 2017年。研究区域内常见的地质灾害,如滑坡、崩塌和泥石流等均被纳入考虑。我们构建了一个地质灾害易发性指数评价体系,该体系涵盖地形、地质、土地覆盖、气象、水文以及人类活动等方面。然后我们使用随机森林模型研究了汶川地震期间、震后十年及其驱动机制下地质灾害易发性的变化。我们有四个主要发现。(1)2008年至2017年地质灾害的易发性逐渐增加,其空间分布与主要断层和河流显著相关。(2)映秀 - 北川断裂、江油 - 都江堰断裂西段以及岷江和涪江对地质灾害高度易感,地质灾害易发性的变化主要发生在平武 - 青川断裂、江油 - 都江堰断裂东段以及湔江、杂谷脑河、通口河、草河等次级河流的河岸地区。(3)地形因素在四个不同时期对地质灾害的相对贡献较为稳定,地质因素缓慢下降,气象和水文因素上升。此外,2008年土地覆盖的影响比其他时期更为显著,人类活动的影响从2008年到2017年呈上升趋势。(4)海拔和坡度具有显著的地形效应,再加上工程岩体组和断层的地质环境效应以及河流衍生效应,导致了地质灾害易发性的空间聚集。我们将断层和河流周围地质灾害高易发性区域的动态变化归因于不同时期地震强度和降水量的变化。