Identification of rural land management signals in runoff response

McIntyre, Neil and Marshall, Miles (2010) Identification of rural land management signals in runoff response. Hydrological Processes, 24 24: 3521-3534. doi:10.1002/hyp.7774

Author McIntyre, Neil
Marshall, Miles
Title Identification of rural land management signals in runoff response
Journal name Hydrological Processes   Check publisher's open access policy
ISSN 0885-6087
Publication date 2010-11
Year available 2010
Sub-type Article (original research)
DOI 10.1002/hyp.7774
Open Access Status
Volume 24
Issue 24
Start page 3521
End page 3534
Total pages 14
Place of publication West Sussex, United Kingdom
Publisher John Wiley and Sons Ltd.
Collection year 2010
Language eng
Abstract Rural land management signals in catchment-scale runoff have proven difficult to identify in general. The Pontbren experimental catchment in upland Wales, UK, provides a new data set with which to address this challenge. This data set includes more than 4 years of data from six tipping bucket rainfall gauges and eight stream flow gauges representing different land management regimes at different scales. Data-based mechanistic rainfall–runoff models were fitted to this data set using the CAPTAIN toolbox. The spatial and temporal variabilities of model parameters were identified and interpreted where possible. The analysis highlighted a dependency between the modelled residence time and the presence of agriculturally improved grassland, which produced a flashier response than grassland in a more natural condition. Another factor found to strongly affect the spatial variability of runoff response was the presence of lakes, while catchment area had a less pronounced effect, and the influence of trees, steepness and soil type could not be identified. Some time variability of response was observed but this was not consistent across the catchment and could not easily be interpreted
Keyword Land use
Sheep grazing
Predicting Runoff
Model Parameters
Flood Risk
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Centre for Water in the Minerals Industry
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