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  • 标题:Integrated dataset of deformation measurements in fractured volcanic tuff and meteorological data (Coroglio coastal cliff, Naples, Italy)
  • 本地全文:下载
  • 作者:Matano, Fabio ; Caccavale, Mauro ; Esposito, Giuseppe
  • 期刊名称:Earth System Science Data Discussions
  • 电子版ISSN:1866-3591
  • 出版年度:2020
  • 卷号:12
  • 期号:1
  • 页码:321-344
  • DOI:10.5194/essd-12-321-2020
  • 语种:English
  • 出版社:Copernicus Publications
  • 摘要:Along the coastline of the Phlegraean Fields volcanicdistrict, near Naples (Italy), severe retreat processes affect a large partof the coastal cliffs, mainly made of fractured volcanic tuff andpyroclastic deposits. Progressive fracturing and deformation of rocks canlead to hazardous sudden slope failures on coastal cliffs. Among thetriggering mechanisms, the most relevant are related to meteorologicalfactors, such as precipitation and thermal expansion due to solar heating ofrock surfaces. In this paper, we present a database of measurement timeseries taken over a period of ∼4 years (December 2014–October 2018)for the deformations of selected tuff blocks in the Coroglio coastalcliff. The monitoring system is implemented on five unstable tuff blocks andis formed by nine crackmeters and two tiltmeters equipped with internalthermometers. The system is coupled with a total weather station, measuringrain, temperature, wind and atmospheric pressure and operating from January 2014 up to December 2018. Measurement frequencies of 10 and 30 min have been set for meteorological and deformation sensorsrespectively. The aim of themeasurements is to assess the magnitude and temporal pattern of rock blockdeformations (fracture opening and block movements) before block failure andtheir correlation with selected meteorological parameters. The results of amultivariate statistical analysis of the measured time series suggest aclose correlation between temperature and deformation trends. The recognizedcyclic, sinusoidal changes in the width (opening–closing) of fractures andtuff block rotations are ostensibly linked to multiscale (i.e., daily,seasonal and annual) temperature variations. Some trends of cumulativemulti-temporal changes have also been recognized. The full databases arefreely available online at: https://doi.org/10.1594/PANGAEA.896000(Matano et al., 2018) and https://doi.org/10.1594/PANGAEA.899562 (Fortelliet al., 2019).
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