Reconstructing spatiotemporal dynamics in hydrological state along intermittent rivers

Eastman, Michael ORCID: https://orcid.org/0000-0002-8212-5872; Parry, Simon ORCID: https://orcid.org/0000-0002-7057-4195; Sefton, Catherine ORCID: https://orcid.org/0000-0002-8157-0368; Park, Juhyun ORCID: https://orcid.org/0000-0001-7112-6493; England, Judy ORCID: https://orcid.org/0000-0001-5247-4812. 2021 Reconstructing spatiotemporal dynamics in hydrological state along intermittent rivers [in special issue: Hydrology, geomorphology, and ecology of intermittent rivers and streams] Water, 13 (4), 493. 22, pp. 10.3390/w13040493

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Official URL: https://doi.org/10.3390/w13040493

Abstract/Summary

Despite the impact of flow cessation on aquatic ecology, the hydrology of intermittent rivers has been largely overlooked. This has resulted in a lack of monitoring projects, and consequently, datasets spanning a period of sufficient duration to characterise both hydrological extremes. This report documents an investigation into the potential for statistical modelling to simulate the spatiotemporal dynamics of flowing, ponded and dry hydrological states in an internationally rare hydrological state dataset. The models presented predict unrecorded hydrological state data with performance metrics exceeding 95%, providing insights into the relationship between ponding prevalence and the performance of statistical simulation of this ecologically important intermediate state between drying and flowing conditions. This work demonstrates the potential for hydrological intermittence to be simulated in areas where hydrological state data are often sparse, providing opportunities for quality control and data infilling. This further understanding of the processes driving intermittence will inform future water resource assessments and the influence of climate change on hydrological intermittence.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.3390/w13040493
UKCEH and CEH Sections/Science Areas:	Water Resources (Science Area 2017-)
ISSN:	2073-4441
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	temporary streams, ephemeral streams, chalk streams, Chilterns, low flows, network contraction, ordinal regression, cumulative logit model
NORA Subject Terms:	Hydrology
Date made live:	19 Feb 2021 16:09 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/529690

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.3390/w13040493

UKCEH and CEH Sections/Science Areas:

Water Resources (Science Area 2017-)

ISSN:

2073-4441

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

temporary streams, ephemeral streams, chalk streams, Chilterns, low flows, network contraction, ordinal regression, cumulative logit model