汶川地震震中地区崩滑体的植被恢复与长期效应

王飞龙; 陈明; 王晓迪; 丁军; 张皓

doi:10.13961/j.cnki.stbctb.2020.03.025

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汶川地震震中地区崩滑体的植被恢复与长期效应

试验研究

- 汶川地震震中地区崩滑体的植被恢复与长期效应
- Vegetation Recovery of Co-seismic Landslide and Long-Term Effect at Central Area of Wenchuan Earthquake
- 水土保持通报 2020年40卷第3期页码：175-179
- 作者机构：
  
  1. 中国建筑西南勘察设计研究院有限公司,四川,成都,610052
  2. 成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川,成都,610059
- 作者简介：
- 基金信息：
  
  国家重点研发计划项目“强震山区特大地质灾害致灾机理与长期效应研究”（2017YFC1501004）
- DOI：10.13961/j.cnki.stbctb.2020.03.025
  中图分类号： TP79;P642.22
- 纸质出版：2020
- 稿件说明：
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王飞龙, 陈明, 王晓迪, 等. 汶川地震震中地区崩滑体的植被恢复与长期效应[J]. 水土保持通报, 2020,40(3):175-179.

Wang Feilong, Chen Ming, Wang Xiaodi, et al. Vegetation Recovery of Co-seismic Landslide and Long-Term Effect at Central Area of Wenchuan Earthquake[J]. Bulletin of Soiland Water Conservation, 2020, 40(3): 175-179.
王飞龙, 陈明, 王晓迪, 等. 汶川地震震中地区崩滑体的植被恢复与长期效应[J]. 水土保持通报, 2020,40(3):175-179. DOI： 10.13961/j.cnki.stbctb.2020.03.025.

Wang Feilong, Chen Ming, Wang Xiaodi, et al. Vegetation Recovery of Co-seismic Landslide and Long-Term Effect at Central Area of Wenchuan Earthquake[J]. Bulletin of Soiland Water Conservation, 2020, 40(3): 175-179. DOI： 10.13961/j.cnki.stbctb.2020.03.025.

摘要

[目的] 评估汶川地震震中地区崩滑体自然植被恢复过程，旨在为该区震后地质环境恢复、灾害防治和重建提供依据。[方法] 以四川省汶川县映秀镇为研究区，以多期空间分辨率为30 m×30 m的Landsat遥感影像为数据源，分析震后崩滑体上的植被动态恢复变化，结合地形因子分析地震9 a后植被恢复的空间分布特征。[结果] 研究区震后至2011年，经历植被恢复程度较差，差等水平以下占比68%，期间暴雨泥石流活动频率高，至2013年后就达到一个较好的恢复水平，差等水平以下占比32%，之后就处于一个缓慢的恢复过程，至2017年植被恢复差等以下的崩滑体仍主要处于30°~50°的坡度区间，1 500~2 100 m高程区间、东南坡向。[结论] 四川省汶川县映秀镇总体上经过近9 a的恢复过程，植被覆盖度恢复到0.74，与震前相比差值为0.08，根据拟合模型预计2022年植被覆盖度能恢复到震前水平，但仍主要以草本和灌木为主，植被种群结构与震前差异较大。

Abstract

[Objective] The vegetation recovery process of the co-seismic landslide at central area of Wenchuan earthquake was assessed in order to provide the basis for the ecological environment restoration

disaster prevention

and reconstruction after the earthquake in the study area.[Methods] Yingxiu Town of Wenchuan County

Sichuan Province was taken as a study area

and the dynamic changes of vegetation at landslide sites after the earthquake were analyzed based on multi-temporal images with a resolution of 30 m. The spatial distribution characteristics of vegetation recovery in the past nine years were analyzed based on the topographic factors.[Results] The vegetation of the landslides did not recover well from 2008 to 2011 in the study area

and 68% of the sites were below the "poor" level. During this period

the frequencies of rainstorms and debris flow activity remained high. After 2013

a better recovery level was reached overall

and the number of landsides below the poor level decreased to 32%. Then

it had been in a slow recovery process. In 2017

the landslides with a poor level of vegetation recovery were mainly located in the slope range of 30°-50°

the elevation range of 1 500-2 100 m

and a southeast slope aspect.[Conclusion] In the 9 years after the earthquake

the vegetation cover index increased to 0.74

and the average vegetation coverage index value was 0.08 less than that before the earthquake. Based on the statistical model

the vegetation cover index is expected to return to the pre-earthquake level in 2022. However

the population structure of vegetation with herbs and shrubs is different from that before the earthquake.

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references

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