Integrated lowland catchment management: working with natural processes to meet the needs of multiple stakeholders

Lead Research Organisation: University of Southampton
Department Name: Sch of Geography & Environmental Sci

Abstract

Natural Flood Management (NFM) interventions include a multitude of measures that mitigate flooding by restoring or enhancing natural processes. Processes include slowing flows, storing water; increasing floodplain roughness and increasing soil infiltration. In addition to mitigating flooding they are likely to have important impacts on water quality. For example, increasing soil infiltration may reduce pesticide and nutrient runoff, slowing river flows may increase instream algal growth and nutrient processing, increasing floodplain roughness (with trees) may result in more river shading (reducing algal growth and cooling rivers), and increasing floodplain connectivity may enhance the deposition of sediments. Thames Water have a strong interest in catchment based interventions which bring together key stakeholders to maintain and seek to improve natural catchment functions of flow attenuation (securing water supply; mitigating low flow issues) and pollution amelioration (reducing treatment costs and mitigating environmental impacts). They are promoting this approach through catchment trials and future investment is dependent on robust cost-benefit evidence. Given that the effectiveness of such measures on both mitigating floods and their impacts on water quality are poorly understood there is an urgent need for this research.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
NE/W503150/1 01/04/2021 31/03/2022
2106096 Studentship NE/W503150/1 01/10/2018 30/06/2022 John Robotham
 
Description The findings from this research have been used by the Environment Agency and Wild Oxfordshire to help inform the management and maintenance requirements of the Littlestock Brook Natural Flood Management scheme.
First Year Of Impact 2021
Sector Agriculture, Food and Drink,Environment
 
Title High-resolution time series of turbidity, suspended sediment concentration, total phosphorus concentration, and discharge in the Littlestock Brook, England, 2017-2021 
Description This dataset contains high-resolution (5-minute) discharge, turbidity, suspended sediment concentration, and total phosphorus concentration data measured at three stream sites in the Littlestock Brook catchment (a tributary of the River Evenlode) from 2017 to 2021. The turbidity and concentration data were derived from a combination of instream sensors and lab-analysed water samples. Discharge data were derived using a stage-discharge rating curve constructed from manual measurements of flow velocity and water level sensor measurements. This dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. There are some periods of data gaps within the timeseries as a result of sensor errors which have been excluded. These data may be used to calculate suspended sediment and phosphorus fluxes loads leaving the catchment. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact This dataset has been used for analysis which has been published in a research paper: https://www.mdpi.com/2073-4441/13/12/1640 (also an outcome of this award). 
URL https://doi.org/10.5285/9f80e349-0594-4ae1-bff3-b055638569f8