Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 7
Articles | Volume 25, issue 7
https://doi.org/10.5194/hess-25-4127-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-4127-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 7
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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Latest update: 20 Nov 2024
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Short summary
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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