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利用树木年代学分析能否区分与落石活动相关的气象条件?——以波兰南部塔特拉山脉为例。

Can we distinguish meteorological conditions associated with rockfall activity using dendrochronological analysis? - An example from the Tatra Mountains (Southern Poland).

机构信息

Jagiellonian University, Faculty of Geography and Geology, Institute of Geography and Spatial Management, Gronostajowa 7, 30-387 Cracow, Poland.

Jagiellonian University, Faculty of Geography and Geology, Institute of Geography and Spatial Management, Gronostajowa 7, 30-387 Cracow, Poland.

出版信息

Sci Total Environ. 2019 Apr 20;662:422-433. doi: 10.1016/j.scitotenv.2019.01.243. Epub 2019 Jan 22.

DOI:10.1016/j.scitotenv.2019.01.243
PMID:30690376
Abstract

Rockfall leads to visible changes in mountain areas and as high-magnitude event has geohazard potential and should be monitored. On forested slopes, active rockfall could be identified with high precision from visible anatomical changes in tree-rings. To discern possible rockfall events in the Tatra Mountains, dendrogeomorphologic methods were applied and correlated with meteorological conditions. Field research was carried out on Norway Spruce (Picea abies L. Karst) in the Kościeliska Valley. Rockfall signals (RSs) were obtained from both qualitative (scars and traumatic resin ducts) data and quantitative (growth release and suppression) data. Multiple regression and ANOVA analysis were employed to recognize the meteorological conditions, which cause rockfall activity. Different periods of rockfall activity were observed during the years 1950-2014. The weakest activity was observed during 1950-1970 while after 1970 a continuous increase in rockfall activity was observed in our study. There was a clear peak in the number of RSs recorded per year in 1985. Cumulative precipitation and temperatures for January, March, May, June, July, August, September and October are statistically significant as the periods of the year in which rockfall is activated in the Tatra Mountains. In terms of activity, three different Levels of Rockfall Activity (LoRAs) were recognized and show significant correlation with the meteorological data. Distinguished meteorological control factors determining rockfall explains 53% of the total parameters determining rockfall activity. The complexity of the rockfall process means that a better understanding of local conditions and the possible uncertainties associated with the dendrogeomorphologic method and the quality of the meteorological data is needed.

摘要

岩崩会导致山区出现明显变化,作为高能量事件,具有地质灾害潜力,应予以监测。在森林覆盖的斜坡上,可以通过树木年轮的可见解剖学变化高精度地识别活跃的岩崩。为了在塔特拉山脉辨别可能发生的岩崩事件,应用了树木年代学方法,并将其与气象条件相关联。实地研究在科希策山谷的挪威云杉(Picea abies L. Karst)上进行。从定性(疤痕和创伤树脂管)数据和定量(生长释放和抑制)数据中获得了岩崩信号(RS)。采用多元回归和方差分析来识别引起岩崩活动的气象条件。在 1950 年至 2014 年期间观察到不同时期的岩崩活动。活动最弱的时期是在 1950 年至 1970 年期间,而在 1970 年之后,我们的研究中观察到岩崩活动持续增加。1985 年记录的 RS 数量每年都有明显的峰值。1 月、3 月、5 月、6 月、7 月、8 月、9 月和 10 月的累积降水量和温度在统计学上是显著的,因为这些时期是塔特拉山脉岩崩活动的时期。就活动而言,识别出三个不同的岩崩活动级别(LoRAs),并与气象数据有显著的相关性。确定岩崩的有区别的气象控制因素解释了决定岩崩活动的总参数的 53%。岩崩过程的复杂性意味着需要更好地了解当地条件和与树木年代学方法以及气象数据质量相关的可能不确定性。

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