Geospatial Modelling Predicts Agricultural Microplastic Hotspots from Biosolid Application Risks
Microplastics are emerging as widespread modern pollutants, posing a variety of health and environmental risks. Microplastics are found in agriculture; they are often introduced via biosolids from wastewater treatment plants and are sold as alternatives to inorganic fertilizers. In Australia, there...
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MDPI AG
2024-12-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/15/1/47 |
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| author | Kieran McNulty Kamrun Nahar |
| author_facet | Kieran McNulty Kamrun Nahar |
| author_sort | Kieran McNulty |
| collection | DOAJ |
| description | Microplastics are emerging as widespread modern pollutants, posing a variety of health and environmental risks. Microplastics are found in agriculture; they are often introduced via biosolids from wastewater treatment plants and are sold as alternatives to inorganic fertilizers. In Australia, there has been limited research on the agricultural concentrations of microplastics, and there has been no predictive modelling to identify which geographies are most at risk for pollution. Based on global emerging trends, this study uses geospatial modelling to map potential high-risk areas for agricultural microplastics within an area of the Murray-Darling Basin in New South Wales, Australia. In doing so, this study demonstrates the use of a geospatial methodology that may be used in future risk assessments, both within Australia and globally. Risk index mapping was conducted for three different pollutant transport pathways: rainfall-runoff of microplastics, in-soil retention of microplastics, and groundwater infiltration of microplastics. Particular areas of risk were identified for each transport pathway, providing visualised mapping results that represent the value of the study and its methodology. |
| format | Article |
| id | doaj-art-0c599df2fdd54c1e88cf5e95af57172a |
| institution | Kabale University |
| issn | 2073-4395 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj-art-0c599df2fdd54c1e88cf5e95af57172a2025-01-24T13:16:29ZengMDPI AGAgronomy2073-43952024-12-011514710.3390/agronomy15010047Geospatial Modelling Predicts Agricultural Microplastic Hotspots from Biosolid Application RisksKieran McNulty0Kamrun Nahar1School of Engineering, University of Southern Queensland, Toowoomba, QLD 4350, AustraliaSchool of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, QLD 4350, AustraliaMicroplastics are emerging as widespread modern pollutants, posing a variety of health and environmental risks. Microplastics are found in agriculture; they are often introduced via biosolids from wastewater treatment plants and are sold as alternatives to inorganic fertilizers. In Australia, there has been limited research on the agricultural concentrations of microplastics, and there has been no predictive modelling to identify which geographies are most at risk for pollution. Based on global emerging trends, this study uses geospatial modelling to map potential high-risk areas for agricultural microplastics within an area of the Murray-Darling Basin in New South Wales, Australia. In doing so, this study demonstrates the use of a geospatial methodology that may be used in future risk assessments, both within Australia and globally. Risk index mapping was conducted for three different pollutant transport pathways: rainfall-runoff of microplastics, in-soil retention of microplastics, and groundwater infiltration of microplastics. Particular areas of risk were identified for each transport pathway, providing visualised mapping results that represent the value of the study and its methodology.https://www.mdpi.com/2073-4395/15/1/47GISplasticagriculturesludgerisk assessmentAustralia |
| spellingShingle | Kieran McNulty Kamrun Nahar Geospatial Modelling Predicts Agricultural Microplastic Hotspots from Biosolid Application Risks Agronomy GIS plastic agriculture sludge risk assessment Australia |
| title | Geospatial Modelling Predicts Agricultural Microplastic Hotspots from Biosolid Application Risks |
| title_full | Geospatial Modelling Predicts Agricultural Microplastic Hotspots from Biosolid Application Risks |
| title_fullStr | Geospatial Modelling Predicts Agricultural Microplastic Hotspots from Biosolid Application Risks |
| title_full_unstemmed | Geospatial Modelling Predicts Agricultural Microplastic Hotspots from Biosolid Application Risks |
| title_short | Geospatial Modelling Predicts Agricultural Microplastic Hotspots from Biosolid Application Risks |
| title_sort | geospatial modelling predicts agricultural microplastic hotspots from biosolid application risks |
| topic | GIS plastic agriculture sludge risk assessment Australia |
| url | https://www.mdpi.com/2073-4395/15/1/47 |
| work_keys_str_mv | AT kieranmcnulty geospatialmodellingpredictsagriculturalmicroplastichotspotsfrombiosolidapplicationrisks AT kamrunnahar geospatialmodellingpredictsagriculturalmicroplastichotspotsfrombiosolidapplicationrisks |