爱尔兰海平面数据库的开发

Q4 Earth and Planetary Sciences Irish Journal of Earth Sciences Pub Date : 2022-01-01 DOI:10.3318/IRISJEARTSCIE.2019.09
A. Brooks, R. Edwards
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引用次数: 45

摘要

摘要:尽管有来自爱尔兰的定性相对海平面(RSL)数据,但关于上一次冰川盛期(LGM)以来的变化,相对缺乏准确可靠的信息。现有的许多数据性质不同,是由一系列采用不同方法的研究产生的,通常与海平面重建无关。因此,我们对RSL变化的理解存在很大的空间和时间差距,而其他数据则模糊不清,容易被误解。本文介绍了一个从现有出版物中提取的海平面信息的新数据库。数据被筛选并根据其作为RSL变化指标的效用分为四组之一。这种基于公认的海平面方法的客观分类使研究人员能够容易地识别现有信息中最可靠的趋势,并有助于区分潜在的错误数据。该数据库可以在网上免费获得,对在爱尔兰沿海环境中工作的研究人员来说应该是一个宝贵的资源。它将随着新信息的提供而更新,确保从收集的新海平面数据中提取最大价值,并突出显示迫切需要更多工作的领域。
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The Development of a Sea-Level Database for Ireland
Abstract:Despite a corpus of qualitative relative sea-level (RSL) data from Ireland, there exists a comparative paucity of precise and reliable information concerning changes since the Last Glacial Maximum (LGM). Much of the existing data are disparate in nature, having been produced by a range of studies employing different methodologies and often not specifically concerned with sea-level reconstruction. Consequently, there are large spatial and temporal gaps in our understanding of RSL changes, whilst other data are ambiguous and prone to misinterpretation. This paper presents a new database of sea-level information extracted from existing publications. Data are screened and classified into one of four groups according to their utility as indicators of RSL change. This objective classification, based upon well-established sea-level methodology, permits researchers to readily identify the most reliable trends in the available information, and helps to discriminate potentially erroneous data. The database is freely available on-line and should prove a valuable resource to researchers working in coastal environments around Ireland. It will be updated as new information becomes available, ensuring maximum value is extracted from the collection of new sea-level data and highlighting areas where more work is urgently needed.
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来源期刊
Irish Journal of Earth Sciences
Irish Journal of Earth Sciences Earth and Planetary Sciences-Earth and Planetary Sciences (all)
CiteScore
0.90
自引率
0.00%
发文量
2
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