DOI: 10.5194/hess-18-2773-2014
Scopus记录号: 2-s2.0-84905284083
论文题名: How to identify groundwater-caused thermal anomalies in lakes based on multi-temporal satellite data in semi-arid regions
作者: Mallast U ; , Gloaguen R ; , Friesen J ; , Rödiger T ; , Geyer S ; , Merz R ; , Siebert C
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 7 起始页码: 2773
结束页码: 2787
语种: 英语
Scopus关键词: Arid regions
; Discharge (fluid mechanics)
; Lakes
; Oceanography
; Potable water
; Runoff
; Drinking and irrigations
; Ground water discharge
; Quantitative information
; Sea surface temperatures
; Standard deviation
; Statistical measures
; Variability analysis
; Groundwater
英文摘要: The deduction by conventional means of qualitative and quantitative information about groundwater discharge into lakes is complicated. Nevertheless, at least for semi-arid regions with limited surface water availability, this information is crucial to ensure future water availability for drinking and irrigation purposes. Overcoming this lack of discharge information, we present a satellite-based multi-temporal sea-surface-temperature (SST) approach. It exploits the occurrence of thermal anomalies to outline groundwater discharge locations using the example of the Dead Sea. Based on a set of 19 Landsat Enhanced Thematic Mapper (ETM+) images 6.2 (high gain), recorded between 2000 and 2002, we developed a novel approach which includes (i) an objective exclusion of surface-runoff-influenced data which would otherwise lead to erroneous results and (ii) a temporal SST variability analysis based on six statistical measures amplifying thermal anomalies caused by groundwater. After excluding data influenced by surface runoff, we concluded that spatial anomaly patterns of the standard deviation and range of the SST data series spatially fit best to in situ observed discharge locations and, hence, are most suitable for detecting groundwater discharge sites. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78183
Appears in Collections: 气候变化事实与影响
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作者单位: Helmholtz Centre for Environmental Research, Department Groundwater Remediation, 06120 Halle, Germany; Helmholtz Centre for Environmental Research, Department Catchment Hydrology, 06120 Halle, Germany; Helmholtz Institute Freiberg of Resource Technology, Remote Sensing Group, 09599 Freiberg, Germany; Helmholtz Centre for Environmental Research, Department Computational Hydrosystems, 04318 Leipzig, Germany
Recommended Citation:
Mallast U,, Gloaguen R,, Friesen J,et al. How to identify groundwater-caused thermal anomalies in lakes based on multi-temporal satellite data in semi-arid regions[J]. Hydrology and Earth System Sciences,2014-01-01,18(7)