Articles | Volume 25, issue 7
https://doi.org/10.5194/hess-25-4127-2021
https://doi.org/10.5194/hess-25-4127-2021
Research article
 | 
19 Jul 2021
Research article |  | 19 Jul 2021

Statistical characterization of environmental hot spots and hot moments and applications in groundwater hydrology

Jiancong Chen, Bhavna Arora, Alberto Bellin, and Yoram Rubin

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Cited articles

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We developed a stochastic framework with indicator random variables to characterize the spatiotemporal distribution of environmental hot spots and hot moments (HSHMs) that represent rare locations and events exerting a disproportionate influence over the environment. HSHMs are characterized by static and dynamic indicators. This framework is advantageous as it allows us to calculate the uncertainty associated with HSHMs based on uncertainty associated with its contributors.
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