Articles | Volume 25, issue 7
Hydrol. Earth Syst. Sci., 25, 4127–4146, 2021
https://doi.org/10.5194/hess-25-4127-2021
Hydrol. Earth Syst. Sci., 25, 4127–4146, 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 et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (21 Mar 2021) by Nunzio Romano
AR by Jiancong Chen on behalf of the Authors (23 Apr 2021)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 May 2021) by Nunzio Romano
RR by Anonymous Referee #3 (02 May 2021)
RR by Anonymous Referee #2 (26 May 2021)
ED: Publish subject to minor revisions (review by editor) (28 May 2021) by Nunzio Romano
AR by Jiancong Chen on behalf of the Authors (04 Jun 2021)  Author's response    Manuscript
ED: Publish as is (06 Jun 2021) by Nunzio Romano
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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.