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Geophysical Research Letters
Article . 2017 . Peer-reviewed
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Geophysical Research Letters
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https://dx.doi.org/10.5445/ir/...
Article . 2017
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Article . 2017
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Correlating Global Precipitation Measurement satellite data with karst spring hydrographs for rapid catchment delineation

Authors: Jake Longenecker; Timothy Bechtel; Zhao Chen; Nico Goldscheider; Tanja Liesch; Robert Walter;

Correlating Global Precipitation Measurement satellite data with karst spring hydrographs for rapid catchment delineation

Abstract

AbstractTo protect karst spring water resources, catchments must be known. We have developed a method for correlating spring hydrographs with newly available, high‐resolution, satellite‐based Global Precipitation Measurement data to rapidly and remotely locate recharge areas. We verify the method using a synthetic comparison of ground‐based rain gage data with the satellite precipitation data set. Application to karst springs is proven by correlating satellite data with hydrographs from well‐known springs with published catchments in Europe and North America. Application to an unknown‐catchment spring in Pennsylvania suggests distant recharge, requiring a flow path that crosses topographic divides, as well as multiple lithologies, physiographic provinces, and tectonic boundaries. Although surprising, this latter result is consistent with published geologic/geophysical, monitoring well, and stream gage data. We conclude that the method has considerable potential to improve the speed and accuracy of catchment identification and hydrodynamic characterization, with applications to water resource protection and groundwater exploration, among others.

Country
Germany
Keywords

Geography & travel, info:eu-repo/classification/ddc/910, 910, 551, ddc:910

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green
gold