水文数据抢救和河流流量记录的扩展:方法发展和应用于经动脉排水修改的集水区

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Kate de Smeth, Joanne Comer, Conor Murphy
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引用次数: 0

摘要

本文介绍了爱尔兰 8 个受干流排水影响的集水区的扩展水文记录(水位和流量)。介绍了收集和处理历史数据、扩展流量记录以及编制有关每个测站的关键元数据和信息所采用的程序。所制定的程序可用于处理与水文测量实践和设备故障有关的数据质量问题,并使用与现代水文测量实践相辅相成的质量代码确保抢救数据的质量。所制定的工作流程将有助于其他水文数据抢救工作,并将抢救过程中的主观性降至最低。新扩展的记录代表了爱尔兰现有最长的连续河流流量系列,可追溯到 1940 年爱尔兰开始正式进行水文监测时。由此产生的数据集增加了 8 个站点 150 年的每日数据,将为动脉排水和流量非稳态影响的水文研究提供重要的新资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hydrometric data rescue and extension of river flow records: Method development and application to catchments modified by arterial drainage

Hydrometric data rescue and extension of river flow records: Method development and application to catchments modified by arterial drainage

Hydrometric data rescue and extension of river flow records: Method development and application to catchments modified by arterial drainage

Extended hydrometric (water level and flow) records are presented for eight Irish catchments subject to arterial drainage. The procedures employed to collect and process historical data, extend flow records and compile key metadata and information about each gauging station are described. Procedures are developed to handle data quality issues related to hydrometric practices and equipment malfunction and to quality assure rescued data using quality codes that complement modern hydrometric practices. The workflow developed will assist other hydrometric data rescue efforts and minimize subjectivity during the rescue process. The newly extended records represent the longest continuous river flow series available in Ireland, extending to the commencement of formal hydrometric monitoring in the country in 1940. The resultant data sets add 150 years of daily data across eight stations and will provide a key new resource for hydrological studies into the impacts of arterial drainage and flow nonstationarity.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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