DOI: 10.5194/hess-19-4327-2015
Scopus记录号: 2-s2.0-84946091949
论文题名: Regional analysis of groundwater droughts using hydrograph classification
作者: Bloomfield J ; P ; , Marchant B ; P ; , Bricker S ; H ; , Morgan R ; B
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 10 起始页码: 4327
结束页码: 4344
语种: 英语
Scopus关键词: Aquifers
; Autocorrelation
; Catchments
; Cluster analysis
; Drought
; Groundwater
; Hydrogeology
; Regional planning
; Runoff
; Statistical tests
; Time series
; Time series analysis
; Accumulation periods
; Aquifer characteristics
; Cluster analysis technique
; Drought characteristics
; Hydrogeological factors
; Hydrogeological settings
; Meteorological drought
; Precipitation indices
; Groundwater resources
; catchment
; classification
; drought stress
; geoaccumulation
; hydrograph
; magnitude
; spatiotemporal analysis
; vadose zone
; water level
; England
; Lincoln [Lincolnshire]
; Lincolnshire
; United Kingdom
英文摘要: Groundwater drought is a spatially and temporally variable phenomenon. Here we describe the development of a method to regionally analyse and quantify groundwater drought. The method uses a cluster analysis technique (non-hierarchicalk-means) to classify standardised groundwater level hydrographs (the standardised groundwater level index, SGI) prior to analysis of their groundwater drought characteristics, and has been tested using 74 groundwater level time series from Lincolnshire, UK. Using the test data set, six clusters of hydrographs have been identified. For each cluster a correlation can be established between the mean SGI and a mean standardised precipitation index (SPI), where each cluster is associated with a different SPI accumulation period. Based on a comparison of SPI time series for each cluster and for the study area as a whole, it is inferred that the clusters are independent of the driving meteorology and are primarily a function of catchment and hydrogeological factors. This inference is supported by the observation that the majority of sites in each cluster are associated with one of the principal aquifers in the study region. The groundwater drought characteristics of the three largest clusters, which constitute ∼ 80 % of the sites, have been analysed. There are differences in the distributions of drought duration, magnitude and intensity of groundwater drought events between the three clusters as a function of autocorrelation of the mean SGI time series for each cluster. In addition, there are differences between the clusters in their response to three major multi-annual droughts that occurred during the analysis period. For example, sites in the cluster with the longest SGI autocorrelation experience the greatest-magnitude droughts and are the slowest to recover from major droughts, with groundwater drought conditions typically persisting at least 6 months longer than at sites in the other clusters. Membership of the clusters is shown to be related to unsaturated zone thickness at individual boreholes. This last observation emphasises the importance of catchment and aquifer characteristics as (non-trivial) controls on groundwater drought hydrographs. The method of analysis is flexible and can be adapted to a wide range of hydrogeological settings while enabling a consistent approach to the quantification of regional differences in response of groundwater to meteorological drought. © 2015 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78397
Appears in Collections: 气候变化事实与影响
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作者单位: British Geological Survey, Wallingford, United Kingdom; British Geological Survey, Keyworth, United Kingdom; Environment Agency, Lincoln, United Kingdom
Recommended Citation:
Bloomfield J,P,, Marchant B,et al. Regional analysis of groundwater droughts using hydrograph classification[J]. Hydrology and Earth System Sciences,2015-01-01,19(10)