TY - JOUR
T1 - Waste to land (W2L): a novel tool to show and predict the spatial effect of applying biosolids on the environment
AU - Gonzalez-Ollauri, Alejandro
AU - Thomson, Craig S.
AU - Mickovski, Slobodan B.
N1 - Acceptance from webpage
AAM: 18m embargo
PY - 2020/11
Y1 - 2020/11
N2 - 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.
AB - 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.
KW - agriculture
KW - biosolids
KW - modelling
KW - spatial analysis
KW - stakeholder engagement
KW - multi-criteria analysis
KW - Multi-criteria analysis
KW - Spatial analysis
KW - Agriculture
KW - Modelling
KW - Biosolids
KW - Stakeholder engagement
U2 - 10.1016/j.agsy.2020.102934
DO - 10.1016/j.agsy.2020.102934
M3 - Article
SN - 0308-521X
VL - 185
JO - Agricultural Systems
JF - Agricultural Systems
M1 - 102934
ER -