气候变化领域集成服务门户(CCPortal): Efficient screening of groundwater head monitoring data for anthropogenic effects and measurement errors

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DOI	10.5194/hess-24-501-2020
	Efficient screening of groundwater head monitoring data for anthropogenic effects and measurement errors
	Lehr C.; Lischeid G.
发表日期	2020
ISSN	1027-5606
起始页码	501
结束页码	513
卷号	24 期号:2
英文摘要	Groundwater levels are monitored by environmental agencies to support the sustainable use of groundwater resources. For this purpose continuous and spatially comprehensive monitoring in high spatial and temporal resolution is desired. This leads to large datasets that have to be checked for quality and analysed to distinguish local anthropogenic influences from natural variability of the groundwater level dynamics at each well. Both technical problems with the measurements as well as local anthropogenic influences can lead to local anomalies in the hydrographs. We suggest a fast and efficient screening method for the identification of well-specific peculiarities in hydrographs of groundwater head monitoring networks. The only information required is a set of time series of groundwater heads all measured at the same instants of time. For each well of the monitoring network a reference hydrograph is calculated, describing expected "normal" behaviour at the respective well as is typical for the monitored region. The reference hydrograph is calculated by multiple linear regression of the observed hydrograph with the "stable" principal components (PCs) of a principal component analysis of all groundwater head series of the network as predictor variables. The stable PCs are those PCs which were found in a random subsampling procedure to be rather insensitive to the specific selection of the analysed observation wells, i.e. complete series, and to the specific selection of measurement dates. Hence they can be considered to be representative for the monitored region in the respective period. The residuals of the reference hydrograph describe local deviations from the normal behaviour. Peculiarities in the residuals allow the data to be checked for measurement errors and the wells with a possible anthropogenic influence to be identified. The approach was tested with 141 groundwater head time series from the state authority groundwater monitoring network in northeastern Germany covering the period from 1993 to 2013 at an approximately weekly frequency of measurement. © 2020 BMJ Publishing Group. All rights reserved.
语种	英语
scopus关键词	Groundwater; Groundwater resources; Large dataset; Linear regression; Measurement errors; Time series; Anthropogenic effects; Anthropogenic influence; Comprehensive monitoring; Groundwater monitoring networks; Multiple linear regressions; North-eastern germany; Principal Components; Spatial and temporal resolutions; Principal component analysis; anthropogenic effect; groundwater; groundwater resource; measurement method; principal component analysis; spatiotemporal analysis; Germany
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159510
作者单位	Lehr, C., Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany, Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam, Germany; Lischeid, G., Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany, Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam, Germany
推荐引用方式 GB/T 7714	Lehr C.,Lischeid G.. Efficient screening of groundwater head monitoring data for anthropogenic effects and measurement errors[J],2020,24(2).
APA	Lehr C.,&Lischeid G..(2020).Efficient screening of groundwater head monitoring data for anthropogenic effects and measurement errors.Hydrology and Earth System Sciences,24(2).
MLA	Lehr C.,et al."Efficient screening of groundwater head monitoring data for anthropogenic effects and measurement errors".Hydrology and Earth System Sciences 24.2(2020).