A catchment-based water resource decision-support tool for the United Kingdom

Holmes, M. G. R.; Young, Andrew; Goodwin, Tracey H.; Grew, R.

doi:10.1016/j.envsoft.2003.04.001

Cited by 32 publications

(18 citation statements)

References 14 publications

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“…A great deal of analysis of the relationships between catchment characteristics and hydrology has been undertaken during previous research aimed at producing methods for flood estimation at ungauged sites (Institute of Hydrology, 1999;Marshall, 2000), for water resources (Holmes et al, 2005) and for continuous hydrological simulation (Lee et al, 2006). In this paper, the utility of catchment characteristics to predict at-site physical habitatdischarge relationships was assessed and compared with that of cross-sectional information; the results show that estimation of W UA /W W2 v. P rev relationships using catchment characteristics can be improved using cross-sectional variables.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, 63 sites ( Fig.1) and a total of 508 cross-sections (Table 1) were included in further analysis. Data from Low Flows 2000 (Holmes et al, 2005), the Flood Estimation Handbook (Institute of Hydrology, 1999) and Intelligent River Network (Dawson et al, 2002) were used to generate catchment characteristics for each site (Table 2). Cross-sectional-based hydraulic modelling of depths and velocities at each site allowed a suite of hydraulic properties to be calculated for each cross-section (Table 3).…”

Section: Sitesmentioning

confidence: 99%

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Generalisation of physical habitat-discharge relationships

Booker¹,

Acreman²

2007

Hydrol. Earth Syst. Sci.

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Physical habitat is increasingly used worldwide as a measure of river ecosystem health when assessing changes to river flows, such as those caused by abstraction. The major drawback with this approach is that defining precisely the relationships between physical habitat and flow for a given river reach requires considerable data collection and analysis. Consequently, widely used models such as the Physical Habitat Simulation (PHABSIM) system are expensive to apply. There is, thus, a demand for rapid methods for defining habitat-discharge relationships from simple field measurements. This paper reports the analysis of data from 63 sites in the UK where PHABSIM has been applied. The results demonstrate that there are strong relationships between single measurements of channel form and river hydraulics and the habitat available for target species. The results can form the basis of a method to estimate sensitivity of physical habitat to flow change by visiting a site at only one flow. Furthermore, the uncertainty in estimates reduces as more information is collected. This allows the user to select the level of investment in data collection appropriate for the desired confidence in the estimates. The method is demonstrated using habitat indicators for different life stages of Atlantic salmon, brown trout, roach and dace.

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Section: Discussionmentioning

confidence: 99%

Section: Sitesmentioning

confidence: 99%

Generalisation of physical habitat-discharge relationships

Booker¹,

Acreman²

2007

Hydrol. Earth Syst. Sci.

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“…licensed abstraction rates, discharge consents and reservoir release profiles) at locations in the catchments of gauging stations, using the process described in Holmes et al (2005). The influence data was that used in the EA's 'Initial Characterisation of Waterbodies' project (UKTAG, 2010).…”

Section: Artificial Influencesmentioning

confidence: 99%

“…Regionalisation methods often employ a Region of Influence (Burn, 1990) approach, which enables prediction at ungauged locations through data transfer from poolinggroups of hydrologically-similar catchments. In the UK, pooling-group methods are used for flood frequency estimation (the Flood Estimation Handbook, FEH: Institute of Hydrology, 1999) and flow duration curve estimation ("Low Flows" software: Holmes et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Evaluating hydrometric networks for prediction in ungauged basins: a new methodology and its application to England and Wales

et al. 2012

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Flow estimates for ungauged catchments are often derived through regionalisation methods, which enable data transfer from a pool of hydrologically-similar catchments with existing gauging stations (i.e. pooling-groups). This paper presents a methodology for indexing the utility of gauged catchments within widely-used pooling-group methodologies for high and low flow estimation; this methodology is then used as the basis for a network evaluation strategy. The utility of monitoring stations is assessed using catchment properties and a parallel, but independent, appraisal of the quality of gauging station data, which considers hydrometric performance, anthropogenic disturbances and record length. Results from the application of the method to a national network of over 1100 gauging stations in England andWales are presented. Firstly, the method is used to appraise the fitness-for-purpose of the network for regionalisation. The method is then used to identify gauges which monitor catchments with high potential for regionalisation, but which are deficient in terms of data quality -where upgrades in hydrometric performance would yield the greatest benefits.Finally, gauging stations with limited value for regionalisation, given the pooling-group criteria employed, are identified. Alongside a wider review of other uses of the network, this analysis could inform a judicious approach to network rationalisation.

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“…The changing hydrologic regimes induced by climate change and resulting in variations in available water resources will strongly influence not only the eco-environment and socio-economic development of the local region, but also the downstream areas [5][6][7][8]. Thus, understanding the spatiotemporal responses of water resources to the changing climate is crucial to identifying future water availability and developing sustainable management plans [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Assessing Climate Change Impacts on Water Resources in the Songhua River Basin

Zhang

2016

Water

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Abstract:The Songhua River Basin (SRB) in Northeast China is one of the areas most sensitive to global climate change because of its high-latitude location. In this study, we conducted a modeling assessment on the potential change of water resources in this region for the coming three decades using the Soil and Water Assessment Tool (SWAT). First, we calibrated and validated the model with historical streamflow records in this basin. Then, we applied the calibrated model for the period from 2020 to 2049 with the projected and downscaled climatic data under two emission scenarios (RCP 4.5 and RCP 8.5). The study results show: (1) The SWAT model performed very well for both the calibration and validation periods in the SRB; (2) The projected temperatures showed a steady, significant increase across the SRB under both scenarios, especially in two sub-basins, the Nenjiang River Basin (NRB) and the Lower SRB (LSRB). With regard to precipitation, both scenarios showed a decreasing trend in the NRB and LSRB but an increasing trend in the Upper Songhua River Basin (USRB); and (3), generally, the hydrologic modeling suggested a decreasing trend of streamflow for 2020-2049. Compared to baseline conditions , the streamflow in the NRB and LSRB would decrease by 20.3%-37.8%, while streamflow in the USRB would experience an increase of 9.68%-17.7%. These findings provide relevant insights into future surface water resources, and such information can be helpful for resource managers and policymakers to develop effective eco-environment management plans and strategies in the face of climate change.

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A catchment-based water resource decision-support tool for the United Kingdom

Cited by 32 publications

References 14 publications

Generalisation of physical habitat-discharge relationships

Generalisation of physical habitat-discharge relationships

Evaluating hydrometric networks for prediction in ungauged basins: a new methodology and its application to England and Wales

Assessing Climate Change Impacts on Water Resources in the Songhua River Basin

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