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Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response

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

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Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response. / Mindham, David; Beven, Keith; Chappell, Nick.
In: Hydrology Research, Vol. 54, No. 2, 01.02.2023, p. 233-244.

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

Harvard

Mindham, D, Beven, K & Chappell, N 2023, 'Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response', Hydrology Research, vol. 54, no. 2, pp. 233-244. https://doi.org/10.2166/nh.2023.115

APA

Mindham, D., Beven, K., & Chappell, N. (2023). Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response. Hydrology Research, 54(2), 233-244. https://doi.org/10.2166/nh.2023.115

Vancouver

Mindham D, Beven K, Chappell N. Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response. Hydrology Research. 2023 Feb 1;54(2):233-244. doi: 10.2166/nh.2023.115

Author

Mindham, David ; Beven, Keith ; Chappell, Nick. / Rainfall-streamflow response times for diverse upland UK micro-basins : quantifying hydrographs to identify the nonlinearity of storm response. In: Hydrology Research. 2023 ; Vol. 54, No. 2. pp. 233-244.

Bibtex

@article{701aaa47800a4bf88e7493ade401b923,
title = "Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response",
abstract = "While it is known that antecedent conditions and rainfall profiles contribute to the nonlinearity of streamflow response and that hydrograph shape can be dependent on the nature of rainfall inputs, how antecedent conditions (with similar rainfall inputs) impact hydrograph shape is less known. Here, a data-based mechanistic (DBM) approach is applied to quantify hydrograph shape, in terms of timing and volume, for the purposes of comparing hydrographs across 17 micro-basins at selected localities in upland UK over a 4-year period. The analysis demonstrates the nonlinearity of storm response for small catchments and revealed that with low antecedent conditions and/or small rainfall inputs there was a high variance in hydrograph shape quantifiers and that these variances decrease (at rates micro-basin dependent) as the micro-basins became wetter or as the storms increased in size, potentially converging to a more stable response.",
keywords = "Micro-basins, Streamflow, Nonlinearity, Quantification, Hydrographs",
author = "David Mindham and Keith Beven and Nick Chappell",
year = "2023",
month = feb,
day = "1",
doi = "10.2166/nh.2023.115",
language = "English",
volume = "54",
pages = "233--244",
journal = "Hydrology Research",
issn = "1998-9563",
publisher = "Nordic Association for Hydrology",
number = "2",

}

RIS

TY - JOUR

T1 - Rainfall-streamflow response times for diverse upland UK micro-basins

T2 - quantifying hydrographs to identify the nonlinearity of storm response

AU - Mindham, David

AU - Beven, Keith

AU - Chappell, Nick

PY - 2023/2/1

Y1 - 2023/2/1

N2 - While it is known that antecedent conditions and rainfall profiles contribute to the nonlinearity of streamflow response and that hydrograph shape can be dependent on the nature of rainfall inputs, how antecedent conditions (with similar rainfall inputs) impact hydrograph shape is less known. Here, a data-based mechanistic (DBM) approach is applied to quantify hydrograph shape, in terms of timing and volume, for the purposes of comparing hydrographs across 17 micro-basins at selected localities in upland UK over a 4-year period. The analysis demonstrates the nonlinearity of storm response for small catchments and revealed that with low antecedent conditions and/or small rainfall inputs there was a high variance in hydrograph shape quantifiers and that these variances decrease (at rates micro-basin dependent) as the micro-basins became wetter or as the storms increased in size, potentially converging to a more stable response.

AB - While it is known that antecedent conditions and rainfall profiles contribute to the nonlinearity of streamflow response and that hydrograph shape can be dependent on the nature of rainfall inputs, how antecedent conditions (with similar rainfall inputs) impact hydrograph shape is less known. Here, a data-based mechanistic (DBM) approach is applied to quantify hydrograph shape, in terms of timing and volume, for the purposes of comparing hydrographs across 17 micro-basins at selected localities in upland UK over a 4-year period. The analysis demonstrates the nonlinearity of storm response for small catchments and revealed that with low antecedent conditions and/or small rainfall inputs there was a high variance in hydrograph shape quantifiers and that these variances decrease (at rates micro-basin dependent) as the micro-basins became wetter or as the storms increased in size, potentially converging to a more stable response.

KW - Micro-basins

KW - Streamflow

KW - Nonlinearity

KW - Quantification

KW - Hydrographs

U2 - 10.2166/nh.2023.115

DO - 10.2166/nh.2023.115

M3 - Journal article

VL - 54

SP - 233

EP - 244

JO - Hydrology Research

JF - Hydrology Research

SN - 1998-9563

IS - 2

ER -