Waste to land (W2L): a novel tool to show and predict the spatial effect of applying biosolids on the environment

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5 Citations (Scopus)
120 Downloads (Pure)

Abstract

There is a complex relationship between land-use, the environment, food production and quality. Regulatory and non-regulatory interventions, such as application of biosolids to agricultural land, are often undertaken at a field- or farm- level and the aggregated effects across farms and regions are difficult to understand, predict, and communicate to others both spatially and temporally. The aim of this paper was to introduce Waste to Land (W2L). W2L is a novel, holistic tool that combines spatial data analysis methods, multi-criteria analysis, and numerical models to detect areas for optimum biosolids application and to predict the spatial effect of applying biosolids to land. A robust framework was developed first to chart the effects of applied biosolids on the environment and, potentially, on the human food chain. Selecting cadmium as a prototype contaminant, a conceptual model was designed as the basis to define the workflow for the tool. Using the open-source, statistical language R and freely available data, the operation and outputs from the tool were demonstrated at a national scale in Scotland, UK. The results provided fresh intelligence on the ability of the Scottish Landbank to receive biosolids and on the spatial effect of landspreading biosolids, to facilitate the exchange of information between stakeholders, and to enable decision-making in a context of spreading biosolids on farmland.
Original languageEnglish
Article number102934
Number of pages11
JournalAgricultural Systems
Volume185
Early online date29 Aug 2020
DOIs
Publication statusPublished - Nov 2020

Keywords

  • agriculture
  • biosolids
  • modelling
  • spatial analysis
  • stakeholder engagement
  • multi-criteria analysis
  • Multi-criteria analysis
  • Spatial analysis
  • Agriculture
  • Modelling
  • Biosolids
  • Stakeholder engagement

ASJC Scopus subject areas

  • General Agricultural and Biological Sciences
  • General Decision Sciences
  • General Engineering
  • General Environmental Science
  • Animal Science and Zoology
  • Agronomy and Crop Science

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