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Open AccessArticle

Reconstructing Spatiotemporal Dynamics in Hydrological State Along Intermittent Rivers

1
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire OX10 8BB, UK
2
ENSIIE & LaMME, University of Paris-Saclay, 91025 Evry, France
3
Department of Mathematics and Statistics, Lancaster University, Lancaster, Lancashire LA1 4YF, UK
4
Environment Agency, Wallingford, Oxfordshire OX10 8BD, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Stephanie Kampf, Kristin Jaeger and Fritz Ken
Water 2021, 13(4), 493; https://doi.org/10.3390/w13040493
Received: 10 December 2020 / Revised: 2 February 2021 / Accepted: 4 February 2021 / Published: 14 February 2021
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. View Full-Text
Keywords: temporary streams; ephemeral streams; chalk streams; Chilterns; low flows; network contraction; ordinal regression; cumulative logit model temporary streams; ephemeral streams; chalk streams; Chilterns; low flows; network contraction; ordinal regression; cumulative logit model
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MDPI and ACS Style

Eastman, M.; Parry, S.; Sefton, C.; Park, J.; England, J. Reconstructing Spatiotemporal Dynamics in Hydrological State Along Intermittent Rivers. Water 2021, 13, 493. https://doi.org/10.3390/w13040493

AMA Style

Eastman M, Parry S, Sefton C, Park J, England J. Reconstructing Spatiotemporal Dynamics in Hydrological State Along Intermittent Rivers. Water. 2021; 13(4):493. https://doi.org/10.3390/w13040493

Chicago/Turabian Style

Eastman, Michael; Parry, Simon; Sefton, Catherine; Park, Juhyun; England, Judy. 2021. "Reconstructing Spatiotemporal Dynamics in Hydrological State Along Intermittent Rivers" Water 13, no. 4: 493. https://doi.org/10.3390/w13040493

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