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Reconstructing spatiotemporal dynamics in hydrological state along intermittent rivers

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Reconstructing spatiotemporal dynamics in hydrological state along intermittent rivers. / Eastman, M.; Parry, S.; Sefton, C. et al.
In: Water, Vol. 13, No. 4, 493, 14.02.2021.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Eastman, M, Parry, S, Sefton, C, Park, J & England, J 2021, 'Reconstructing spatiotemporal dynamics in hydrological state along intermittent rivers', Water, vol. 13, no. 4, 493. https://doi.org/10.3390/w13040493

APA

Eastman, M., Parry, S., Sefton, C., Park, J., & England, J. (2021). Reconstructing spatiotemporal dynamics in hydrological state along intermittent rivers. Water, 13(4), Article 493. https://doi.org/10.3390/w13040493

Vancouver

Eastman M, Parry S, Sefton C, Park J, England J. Reconstructing spatiotemporal dynamics in hydrological state along intermittent rivers. Water. 2021 Feb 14;13(4):493. doi: 10.3390/w13040493

Author

Eastman, M. ; Parry, S. ; Sefton, C. et al. / Reconstructing spatiotemporal dynamics in hydrological state along intermittent rivers. In: Water. 2021 ; Vol. 13, No. 4.

Bibtex

@article{8a0f8e1d233246ffba21f1604988cf61,
title = "Reconstructing spatiotemporal dynamics in hydrological state along intermittent rivers",
abstract = "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. ",
keywords = "Chalk streams, Chilterns, Cumulative logit model, Ephemeral streams, Low flows, Network contraction, Ordinal regression, Temporary streams, Ecology, Water resources, Hydrological extremes, Intermediate state, Intermittent rivers, Performance metrics, Resource assessments, Spatio-temporal dynamics, Statistical modelling, Statistical simulation, Climate change",
author = "M. Eastman and S. Parry and C. Sefton and J. Park and J. England",
year = "2021",
month = feb,
day = "14",
doi = "10.3390/w13040493",
language = "English",
volume = "13",
journal = "Water",
issn = "2073-4441",
publisher = "MDPI AG",
number = "4",

}

RIS

TY - JOUR

T1 - Reconstructing spatiotemporal dynamics in hydrological state along intermittent rivers

AU - Eastman, M.

AU - Parry, S.

AU - Sefton, C.

AU - Park, J.

AU - England, J.

PY - 2021/2/14

Y1 - 2021/2/14

N2 - 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.

AB - 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.

KW - Chalk streams

KW - Chilterns

KW - Cumulative logit model

KW - Ephemeral streams

KW - Low flows

KW - Network contraction

KW - Ordinal regression

KW - Temporary streams

KW - Ecology

KW - Water resources

KW - Hydrological extremes

KW - Intermediate state

KW - Intermittent rivers

KW - Performance metrics

KW - Resource assessments

KW - Spatio-temporal dynamics

KW - Statistical modelling

KW - Statistical simulation

KW - Climate change

U2 - 10.3390/w13040493

DO - 10.3390/w13040493

M3 - Journal article

VL - 13

JO - Water

JF - Water

SN - 2073-4441

IS - 4

M1 - 493

ER -