DOI: 10.5194/hess-24-501-2020
论文题名: Efficient screening of groundwater head monitoring data for anthropogenic effects and measurement errors
作者: Lehr C. ; Lischeid G.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 2 起始页码: 501
结束页码: 513
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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162800
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
Lehr C.,Lischeid G.. Efficient screening of groundwater head monitoring data for anthropogenic effects and measurement errors[J]. Hydrology and Earth System Sciences,2020-01-01,24(2)