Identifying factors of trace metal concentrations in urban residential soil at different geographical scales using an optimal parameters-based geographical detector model
Topics: Spatial Analysis & Modeling
, Environmental Science
, Soils
Keywords: GIS, spatial analysis, geographical detector, spatial stratified heterogeneity, spatial factor exploration, soil Pb contamination
Session Type: Virtual Paper Abstract
Day: Sunday
Session Start / End Time: 2/27/2022 08:00 AM (Eastern Time (US & Canada)) - 2/27/2022 09:20 AM (Eastern Time (US & Canada))
Room: Virtual 3
Authors:
Xiaochi Liu, Department of Earth and Environmental Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, New South Wales, Australia, 2109
Mark P. Taylor, Department of Earth and Environmental Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, New South Wales, Australia, 2109
Yongze Song, School of Design and the Built Environment, Faculty of Humanities, Curtin University, Perth, West Australia, Australia, 6102
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Abstract
Australia’s national citizen program VegeSafe has collected > 22,000 urban residential soils and analyzed them for trace element concentration. After eight years of operation, the large quantity of data accumulated by the program has enabled unparalleled and robust factor investigation of trace element contamination (such as Pb) in soils to better understand potential exposure risks. This analysis aims to explore anthropogenic and natural factors influencing the spatial pattern of soil Pb concentration at different geographical scales (from 0.1 to 4 km). We interpolated VegeSafe soil Pb data within the Sydney greater metropolitan area, combined with other socio-economic and environmental data, and applied an optimal parameters-based geographical detector model (OPGD) that can identify the optimal spatial scale for spatial heterogeneity analysis. Results show that relative impacts of different factors are varied with the change of spatial scale. Anthropogenic factors (percentage of old homes, road density, percentage of industrial area, etc.) were major contributors to soil Pb concentration with increasing impacts as the scale increased. Natural factors (soil pH values, soil type, elevation, etc.) played a secondary role with stable impacts on the scale of 0.1 to 2 km and increasing impacts on the scale of 2 to 4 km. Most factors reached the maximum impact when the spatial scale was 4 km, selected as the optimal spatial scale for the subsequent factor exploration. By incorporating the process of spatial scale optimization, the VegeSafe data plus OPGD modelling framework provide a more accurate understanding of trace element contamination in urban residential soil.
Identifying factors of trace metal concentrations in urban residential soil at different geographical scales using an optimal parameters-based geographical detector model
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Virtual Paper Abstract
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