Talk, EGU, Vienna, Austria
Anthony Jones 1, Julia Knapp 1, Sim Reaney 2, and Ian Pattison 3 1 Department of Earth Sciences, Durham University, United Kingdom (anthony.d.jones@durham.ac.uk) 2 Department of Geography, Durham University, United Kingdom
3 School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, United Kingdom
Talk, EGU, Vienna, Austria
Ivo Pink, Sim Reaney, Isabella Bovolo, and Richard Hardy Durham University, Department of Geography, Durham, United Kingdom (ivopink2@gmail.com)
Talk, EGU, Vienna, Austria
Sim Reaney 1,2, Maria Snell 3, and Philip Barker 3 1 Durham University, Department of Geography, Durham, UK (sim.reaney@durham.ac.uk) 2 Institute of Hazard, Risk and Resilience, Durham University, Durham, DH1 3LE, UK 3 Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
Talk, EGU, Vienna, Austria
Sim Reaney
Department of Geography & Institute of Hazard, Risk and Resilience, Durham University, Durham, United Kingdom.
Talk, EGU, Vienna, Austria
Aaron Neill (1), Suzanne Jacobs (2), Lutz Breuer (3), and Sim Reaney (4)
1 Institute of Hazard, Risk and Resilience, Durham University, Durham, United Kingdom (aaron.james.neill@gmail.com) 2 Centre for International Development and Environmental Research (ZEU), Justus Liebig University, Giessen, Germany. 3 Institute for Landscape Ecology and Resources Management (ILR), Justus Liebig University, Giessen, Germany. 4 Department of Geography & Institute of Hazard, Risk and Resilience, Durham University, Durham, United Kingdom.
Talk, EGU, Vienna, Austria
Rebekah Harries (1), Sim Reaney (1), Germán Aguilar (2), and Linda Kirstein (3)
Talk, EGU, Vienna, Austria
Julia Costescu (1), Louise Bracken (2), Laura Turnbull-Lloyd (1), Sim Reaney (1), and Damian Crilly (3)
Talk, IHRR Annual Conference, Durham, England
Talk, Catchment Data User Group Meeting 2020, Online
Talk, AGU, San Francisco, USA
Callum Pearson, Sim M Reaney, Nick J Rosser and Andy R Large
Talk, University of Botswana, Gaborone, Botswana
This talk gave an overview of an integrated work flow to assess the performance of check dams for aquifer recharge. The approach uses 2D hydraulic modelling coupled with fine resolution topographic data captured from aerial imagery.
Talk, EGU, Vienna, Austria
Sim Reaney, Eleanor Mackay, Phil Haygarth, and Claire Benskin
Talk, EGU, Vienna, Austria
Callum Pearson, Sim M. Reaney, Nick J. Rosser, Andrew R.G. Large, Matthew T. Perks, and Borbála Hortobágyi
Talk, University of Palermo, Palermo, Italy
The understanding of hydrological connectivity is often broken down into two distinct types: functional and structural (see Bracken et al 2013). Functional connectivity refers to the dynamic feedbacks that occur within the short timescale of storm events, such as surface flow dynamics and erosion – deposition of the soil surface. Structural connectivity refers to the controls that the fixed characteristics of the environment, for example, landscape topography and vegetation pattern, have on the strength of the connectivity over long time scales. This paper presents how both functional and structural connectivity can be modelled and examples of how the structural connectivity approach has been used as a key dataset within a spatial decision support system.
Talk, In the proceedings of AGU Fall Meeting Abstracts, New Orleans, USA
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Talk, SCIMAP User Group Meeting 2016, The Hague, Netherlands
The design of diffuse pollution mitigation schemes at the landscape scale is difficult since the spatial structure of the landscape means that not all land contributes equally. The variation in sources, related to land management, soils and geology, and the pattern of hydrological connectivity mean that critical source areas are distributed across the landscape. If diffuse pollution mitigation measures can be targeted to intercept these critical source areas, they can be more effective and hence the same water quality improvement can be achieved at lower cost and with a lower impact on agricultural activities.
Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
Low order streams are spatially extensive, temporally dynamic, systems within the agricultural landscape. This dynamism extends to the aquatic communities within these streams, including the phytobentos, which demonstrates considerable resilience to diffuse anthropogenic nutrient pressures and changing climate dynamics. The phytobenthos community can substantially contribute to the food web, in particular diatoms, which dominate photo-autotrophic assemblages in low order streams. Diatoms are widely used in ecological monitoring because of their high sensitivity to environmental condition, but knowledge is limited on the ecological effects of winter disturbances and variance introduced by multiple and interacting pressures (N, P, sediment), introducing bias in understanding temporal dynamics in benthic diatom communities. Using the environmental time series data from long term monitoring within the River Eden Demonstration Test Catchment programme, we assess the impact of multiple hydro-chemical stressors on phytobenthic community resilience, and synthesize the impact of an extreme winter event. Monthly data from diatom communities collected in the Eden DTC from March 2011 to present show that river flow, strongly coupled to precipitation, is a key driver of these communities. Discharge has a direct effect on communities through scouring, but is also tightly correlated to nutrient delivery, such that 80% of the annual TP load arrives in 10% of the time. Trophic Diatom Index (TDI) values demonstrated considerable resilience by the stability of inter-monthly TDI scores over 5 seasonal cycles against the characterised highly variable hydrological regime. This research demonstrates that well characterised winter disturbances are critical to understanding drivers of aquatic dynamics. This has implications for catchment diffuse pollution policy, farm management and economics, given the climate projections of increases in frequency and intensity of extreme winter events, which may alter instream nutrient fluxes.
Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, Flood Expo 2016, London, England
Talk, SCIMAP User Group Meeting 2016, London, England
Poster, COST Action Connecteur Meeting, Durham, England
Poster, COST Action Connecteur Meeting, Durham, England
Talk, Eden Rivers Trust, Penrith, England
Talk, Durham University, Durham, UK
Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, Stirling University, Stirling, Scotland
To tackle the challenges of flood risk, poor water quality and degraded ecological health, there is a need to go beyond the management of point pressures and take a full landscape view of the problem. Central to this high level view is the concept of hydrological connectivity, which describes the ease with which water and associated materials, can move across the landscape to the rivers or lakes. Therefore, understanding connectivity and the spatial pattern of source areas is key to making predictions of the critical source areas for diffuse pollution and flood risk sources and this identification allows for the spatial targeting of mitigation measures in the landscape.
Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, Xining, Qinghai, China
Talk, Hydroinfomatics, New York, USA
SIM REANEY (1) AND PETER WELLS (2) (1): Department of Geography, Durham University, Durham, DH1 3LE, UK (2): Lutra Consulting, 23 Chestnut Close, Burgess Hill, West Sussex, RH15 8HN, UK
Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, The Global Institute for Water Security at the University of Saskatchewan, Saskatoon, Canada
Talk, AGU Chapman Conference, Estes Park, CO 80511, USA
Sim Reaney Department of Geography, Durham University, Durham, DH1 3LE, UK
Poster, Land User and Water Quality 2013, The Hague, Netherlands
Reaney S. M., Lane S. N., Heathwaite A. L. and Milledge D. G.
Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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title: “The River EdenDTC Project A National Demonstration Test Catchment” collection: talks permalink: /talks/2012-04-01-The-River-EdenDTC-Project-A-National-Demonstration-Test-Catchment date: 2012-04-01 venue: ‘In the proceedings of EGU General Assembly Conference Abstracts’ citation: ‘C. Benskin, B. Surridge, C. Deasy, C. Woods, D. Rimmer, E. Lees, G. Owens, J. Jonczyk, J. Quinton, M. Wilkinson, “The River EdenDTC Project: A National Demonstration Test Catchment.” In the proceedings of EGU General Assembly Conference Abstracts, 2012.’ location: “Vienna, Austria” type: “Talk”
Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
Many approaches to understanding diffuse pollution risk at the landscape scale have focused on its ‘sources’ and ‘mobilisation’ with a basic representation of the effect of connectivity between the landscape the receiving waters. Connectivity will determine whether source areas become critical source areas and create problems in the receiving waters. It is the landscape position of a source, both in terms of its upslope contributing area and its downslope flow path, that determine the likelihood of a connection being made. The SCIMAP approach, developed at Durham and Lancaster Universities with the Environment Agency, has taken a strongly connectivity driven approach, set within a risk based framework. SCIMAP aims to predict the location in the catchment that is most likely to be the source of an in stream water quality problem derived from diffuse pollution. The predictions are generated at a 5m-pixel level, to give within field estimates of risk and connectivity, and applied to whole landscapes (from 1 to 2000 km2 +) to give a broad overview of the issues. Recent work has shown that there is significant value in adding a detailed connectivity treatment when predicting measured patterns of water quality. The SCIMAP approach to diffuse pollution risk mapping has been applied by: the Environment Agency under the Catchment Sensitive Farming program; the Teagasc ‘Agricultural Catchments’ program; the Defra funded ‘River Eden Demonstration Test Catchment’; and various river and wildlife trusts in the UK. This poster shows an overview of the SCIMAP approach and the results from both the Teagasc ‘Agricultural Catchments’ and the EdenDTC projects.
Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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S.M. REANEY1, D.G. MILLEDGE1, S.N. LANE2, A.L. HEATHWAITE3, M. SHORE4, A. MELLAND4 & P JORDAN4
Sim Reaney1, Ian Pattison2 , Katie Smith1, Stuart Lane3, Rich Hardy1, Dave Milledge1 and Lucy Dugdale4
Hydrological connectivity describes the ease with which water can move across the landscape and is a central factor in determining catchment hydrological and water quality behaviour. The strength of the connectivity is determined by the interactions between the driving rain storm events and the physical structure of the landscape.
Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Lane S N, Reaney S M and Du Y 2006: Wetter? Drier? Floods? Droughts? Continuous flow simulation to 2099 for Northern England; British Hydrological Society 9th National Hydrology Symposium, Durham University, September 2006.
Reaney, S., Kirkby M. and Bull L. 2001 Defining HYSS Based Response Units (HyssBRU) for hydrological modelling in a semi-arid environment COST 623 Strasbourg Sept 2001
Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of EGU General Assembly Conference Abstracts, Vienna, Austria
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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Talk, In the proceedings of AGU Fall Meeting Abstracts, San Francisco, USA
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