The drought of 2018 raised the profile of droughts in Scotland, with broad coverage of impacts. Future occurrence and magnitude of droughts are predicted to increase, with periods previously only occurring once every 40 years happening once every 20 years by 2050. Recent work by NatureScot found increases in extreme droughts across Scotland with the highest likelihood in eastern Scotland including Grampian and Caithness. However, these spatial patterns do not always map to surface water and groundwater vulnerabilities.
Antimicrobial resistance (AMR) is a biological emerging contaminant (EC) with the potential to have significant consequences. ECs, such as pharmaceuticals, personal care products (PPCPs) and microplastics have been detected in surface and ground waters, sewage effluent and at trace concentrations in drinking waters and river sediment. There are data gaps in baseline information on pharmaceuticals in the water environment in Scotland in 18 local authority areas and a bias towards effluents. ECs have the potential to cause both ecotoxicological effects and impacts on human health, therefore their prevalence is of particular concern concerning drinking water sources. Microplastics threaten biodiversity, ecosystem services and potentially human health, yet minimal data pertain to their detection in Scottish freshwaters.
While the impacts of future changes on water quality in Scotland represent a major knowledge gap, water quality modelling frequently suffers from a lack of available data at a high-enough spatial and temporal resolution as well as high uncertainty. Therefore, novel monitoring and modelling approaches are urgently needed to address these challenges. Monthly data typically available from national regulatory water quality monitoring is at risk of underestimating true pollutant concentrations and loads, making it difficult to inform cost-effective targeting of pollution mitigation measures. Wide deployment of high-temporal resolution monitoring instruments continues to be hindered by high cost and there is an urgent need for innovative techniques for cheaper, reliable high-resolution field assessment to understand pollutant sources, pathways, and responses to mitigation measures.
While modelling facilitates an understanding of both current drivers and future risks to the water environment, the application of models to AMR is rare and hindered by a lack of data, limited mechanistic understanding and a failure to consider the role of environmental factors on transmission. The temporal and spatial dynamics of Antibiotic resistance genes (ARGs) in catchment systems is likely to be important in influencing risk levels across seasons and scales but is not well represented in models to date. Further, while new ECs appear every year, for many we do not have sufficient monitoring data or knowledge to characterise their behaviour in the environment.
The key drivers of this research are the needs of policymakers and managers to:
- Have tools to predict where and when drought may occur in Scotland.
- Understand where vulnerabilities to drought lie in our environment, economy and society.
- Understand future changes in water quality in Scottish catchments; what drivers of change are and how this impacts ecosystem services and water users.
- Improve and monitor rural drinking water quality and increase awareness of potential health risks from their water supplies.