Suppr超能文献

灾难性地震引发山体滑坡后的植被恢复模式评估:以台湾中部为例

Vegetation recovery patterns assessment at landslides caused by catastrophic earthquake: a case study in central Taiwan.

作者信息

Chou Wen-Chieh, Lin Wen-Tzu, Lin Chao-Yuan

机构信息

Department of Civil Engineering and Engineering Informatics, Chung Hua University, Hsinchu City, 30012, Taiwan, Republic of China.

出版信息

Environ Monit Assess. 2009 May;152(1-4):245-57. doi: 10.1007/s10661-008-0312-8. Epub 2008 Jun 5.

Abstract

The catastrophic earthquake, 7.3 on the Richter scale, occurred on September 21, 1999 in Central Taiwan. Much of standing vegetation on slopes was eliminated and massive, scattered landslides were induced at the Jou-Jou Mountain area of the Wu-Chi basin in Nantou County. We evaluated three methods for assessing landslide hazard and vegetation recovery conditions. (1) Self-organizing map (SOM) neural network coupled with fuzzy technique was used to quickly extract the landslide. (2) The NDVI-based vegetation recovery index derived from multi-temporal SPOT satellite images was used to evaluate vegetation recovery rate in the denudation sites. (3) The spatial distribution index (SDI) based on land-cover topographic location was employed to analyze vegetation recovery patterns, including the invading, surviving and mixed patterns at the Jou-Jou Mountain area. On September 27, 1999, there were 849.20 ha of landslide area extracted using the self-organizing map and fuzzy technique combined model. After six years of natural vegetation succession, the landslide has gradually restored, and vegetation recovery rate reached up to 86%. On-site observation shows that many native pioneer plants have invaded onto the denudation sites even if disturbed by several typhoons. Two native surviving plants, Arundo formosana Hack and Pinus taiwanensis Hayata, play a vital role in natural vegetation succession in this area, especially for the sites on ridgeline and steep slopes.

摘要

1999年9月21日,台湾中部发生了里氏7.3级的灾难性地震。南投县鱼池盆地九九山区的许多坡地植被被摧毁,引发了大规模的、分散的山体滑坡。我们评估了三种评估滑坡灾害和植被恢复状况的方法。(1)利用自组织映射(SOM)神经网络结合模糊技术快速提取滑坡区域。(2)利用多期SPOT卫星图像得出的基于归一化植被指数(NDVI)的植被恢复指数,评估剥蚀地的植被恢复率。(3)采用基于土地覆盖地形位置的空间分布指数(SDI),分析九九山区的植被恢复模式,包括入侵、留存和混合模式。1999年9月27日,利用自组织映射和模糊技术结合模型提取出849.20公顷的滑坡区域。经过六年的自然植被演替,滑坡区域已逐渐恢复,植被恢复率高达86%。实地观察表明,即使受到几次台风的干扰,许多本地先锋植物仍已侵入剥蚀地。两种本地留存植物,台湾芦竹和台湾二叶松,在该地区的自然植被演替中发挥着至关重要的作用,尤其是在山脊线和陡坡的区域。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验