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240516s2025 xx |||||o 00| ||eng c |
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|a 10.1080/09593330.2024.2354121
|2 doi
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|a eng
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| 100 |
1 |
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|a Wang, Liang
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Integrating portable X-ray fluorescence site survey and ArcGIS models for rapid risk assessment and mitigation strategies at an abandoned arsenic mine site
|b a case study
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|c 2025
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|a Text
|b txt
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 05.01.2025
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|a published: Print-Electronic
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|a Citation Status In-Process
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|a Australia's metalliferous abandoned mine sites (MAMSs), pose tangible threats to the environment and human health. To address these concerns, our study utilised state-of-the-art handheld XRF technology to conduct a real-time assessment of the Mole River arsenic mine site. The data revealed notably elevated levels of arsenic and manganese, with the southeast corner of the site identified as a contaminant hotspot. We used a tiered risk assessment approach to compare the detected contaminant concentrations to the Australian health investigation levels (tier 1). This led us to a broader examination of erosion vulnerabilities and the potential migration of contaminants (tier 2). Further, a hydrological assessment (tier 3) identified significant erosion in southern regions, indicating the potential for contaminants to be transported off-site through surface water runoff to Sam's Creek and Mole River. The proximity of a reservoir to these runoff pathways brought forth additional challenges, especially during heavy rainfall events. Subsequent laboratory analysis of water samples reinforced our findings, as they confirmed heightened arsenic concentrations in Mole River downstream, accentuating the potential risks to ecosystems and human health. By integrating the XRF contour map and erosion assessment with the RUSLE model, valuable insights are gained into critical hotspots with high contamination and erosion potential. By directing rehabilitation efforts towards critical hotspots, resources can be allocated more efficiently and cost-effectively
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|a Journal Article
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|a Abandoned mine sites
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| 650 |
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|a ArcGIS models
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| 650 |
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|a X-ray fluorescence walkover survey
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| 650 |
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|a rapid risk assessment
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| 650 |
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|a soil erosion modelling
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| 700 |
1 |
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|a Lamb, Dane
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Dong, Zhaoming
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Sanderson, Peter
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Du, Jianhua
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Naidu, Ravi
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Environmental technology
|d 1993
|g 46(2025), 2 vom: 30. Jan., Seite 266-278
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|x 1479-487X
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| 773 |
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|g volume:46
|g year:2025
|g number:2
|g day:30
|g month:01
|g pages:266-278
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|u http://dx.doi.org/10.1080/09593330.2024.2354121
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