2017
DOI: 10.1016/j.scitotenv.2017.04.033
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Modelling drivers and distribution of lead and zinc concentrations in soils of an urban catchment (Sydney estuary, Australia)

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Cited by 15 publications
(4 citation statements)
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References 63 publications
(67 reference statements)
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“…There were much larger amounts of this component measured in the soils in Sydney (Australia), i.e. 207.39–10,253.99 mg kg -1 [67], and in Paris (France), i.e. 106.95–174.84 mg kg -1 [68].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…There were much larger amounts of this component measured in the soils in Sydney (Australia), i.e. 207.39–10,253.99 mg kg -1 [67], and in Paris (France), i.e. 106.95–174.84 mg kg -1 [68].…”
Section: Discussionmentioning
confidence: 99%
“…The maximum permissible limit is 200 mg kg -1 [71]. The probable causes of such high soil contamination are oil spills and the wear of car tyres [67,70].…”
Section: Discussionmentioning
confidence: 99%
“…Although a relationship between Sydney metropolitan Pb concentrations in dust and soil was evident, it was marginally statistical insignificant (r = 0.650, p = 0.058). Previous studies of environmental contaminants within the Sydney metropolitan region reveals that multielemental concentrations in soil and dust across Sydney metropolitan suburbs are heterogeneous. , Given that honey bees forage an area over 7 km 2 , ,, it likely that concentrations of trace elements found in honey bees and their products reflect a more generalized proxy of contamination at a suburb level. This would have the effect of smoothing variations in anthropogenically sourced contaminants measured at the different Sydney metropolitan suburb sites.…”
Section: Discussionmentioning
confidence: 99%
“…Contaminated sites, especially following environmental catastrophes, require urgent and timely assessment and so unless the resources can be afforded, collection of so many samples would not be economically sound. Complementary methods in both physical assessment and mapping are worth exploring; for example, the use of proximal sensing would allow the collection of more samples (Horta et al 2015), and the use of covariates as supplementary data may provide a more accurate map of contaminant distribution (Johnson et al 2017).…”
Section: Mapping Contaminant Distributionmentioning
confidence: 99%