12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > A Multi-Scale Framework for Strategic Managemen...
View graph of relations

« Back

A Multi-Scale Framework for Strategic Management of Diffuse Pollution.

Research output: Contribution to journalJournal article

Published

  • Caspar J. M. Hewett
  • Paul F. Quinn
  • A. Louise Heathwaite
  • Aidan Doyle
  • Sean Burke
  • Paul G. Whitehead
  • David N. Lerner
Journal publication date01/2009
JournalEnvironmental Modelling and Software
Journal number1
Volume24
Number of pages12
Pages74-85
Original languageEnglish

Abstract

A multi-scale framework for decision support is presented that uses a combination of experiments, models, communication, education and decision support tools to arrive at a realistic strategy to minimise diffuse pollution. Effective partnerships between researchers and stakeholders play a key part in successful implementation of this strategy. The Decision Support Matrix (DSM) is introduced as a set of visualisations that can be used at all scales, both to inform decision making and as a communication tool in stakeholder workshops. A demonstration farm is presented and one of its fields is taken as a case study. Hydrological and nutrient flow path models are used for event based simulation (TOPCAT), catchment scale modelling (INCA) and field scale flow visualisation (TopManage). One of the DSMs; The Phosphorus Export Risk Matrix (PERM) is discussed in detail. The PERM was developed iteratively as a point of discussion in stakeholder workshops, as a decision support and education tool. The resulting interactive PERM contains a set of questions and proposed remediation measures that reflect both expert and local knowledge. Education and visualisation tools such as GIS, risk indicators, TopManage and the PERM are found to be invaluable in communicating improved farming practice to stakeholders.