Application of high-resolution telemetered sensor technology to develop conceptual models of catchment hydrogeological processes

Cooper, Richard J. ORCID:, Hiscock, Kevin M. ORCID:, Lovett, Andrew A. ORCID:, Dugdale, Stephen J., Sunnenberg, Gisela, Garrard, Nicholas L., Outram, Faye N., Hama-Aziz, Zanist Q., Noble, Lister and Lewis, Melinda A. (2018) Application of high-resolution telemetered sensor technology to develop conceptual models of catchment hydrogeological processes. Journal of Hydrology X, 1.

[thumbnail of Published manuscript]
PDF (Published manuscript) - Published Version
Available under License Creative Commons Attribution.

Download (9MB) | Preview


Mitigating agricultural water pollution requires changes in land management practices and the implementation of on-farm measures to tackle the principal reasons for water quality failure. However, a paucity of robust empirical evidence on the hydrological functioning of river catchments can be a major constraint on the design of effective pollution mitigation strategies at the catchment-scale. In this regard, in 2010 the UK government established the Demonstration Test Catchment (DTC) initiative to evaluate the extent to which on-farm mitigation measures can cost-effectively reduce the impacts of agricultural water pollution on river ecology while maintaining food production capacity. A central component of the DTC platform has been the establishment of a comprehensive network of automated, web-based sensor technologies to generate high-temporal resolution empirical datasets of surface water, soil water, groundwater and meteorological parameters. In this paper, we demonstrate how this high-resolution telemetry can be used to improve our understanding of hydrological functioning and the dynamics of pollutant mobilisation and transport under a range of hydrometerological and hydrogeological conditions. Furthermore, we demonstrate how these data can be used to develop conceptual models of catchment hydrogeological processes and consider the implications of variable hydrological functioning on the performance of land management changes aimed at reducing agricultural water pollution.

Item Type: Article
Uncontrolled Keywords: river,agriculture,soil moisture,groundwater,surface water,water pollution,sdg 2 - zero hunger ,/dk/atira/pure/sustainabledevelopmentgoals/zero_hunger
Faculty \ School: Faculty of Science > School of Environmental Sciences
UEA Research Groups: Faculty of Social Sciences > Research Centres > Water Security Research Centre
Faculty of Science > Research Groups > Geosciences
Faculty of Science > Research Centres > Centre for Social and Economic Research on the Global Environment (CSERGE)
Faculty of Science > Research Groups > Environmental Social Sciences
Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023)
Depositing User: LivePure Connector
Date Deposited: 06 Dec 2018 13:30
Last Modified: 21 Mar 2023 09:33
DOI: 10.1016/j.hydroa.2018.100007


Downloads per month over past year

Actions (login required)

View Item View Item