2005
DOI: 10.1016/j.scitotenv.2004.12.015
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Mapping risk of cadmium and lead contamination to human health in soils of Central Iran

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Cited by 58 publications
(21 citation statements)
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“…Fieldwork took place in March, 2005, at which time Fallon had not experienced a substantial rain storm for three weeks (daily data obtained online from the National Climatic Data Center, NOAA 2006), allowing surface dust to accumulate for that length of time. In total, 125 surface dust samples were collected along a grid pattern within Fallon as well as outside of Fallon to establish background concentrations of metals (Amini et al 2005;Rimmer et al 2006;Biasioli et al 2006). Within Fallon, the grid cell length was 0.5 km, which maximized the sampling density inside the town.…”
Section: Methodsmentioning
confidence: 99%
“…Fieldwork took place in March, 2005, at which time Fallon had not experienced a substantial rain storm for three weeks (daily data obtained online from the National Climatic Data Center, NOAA 2006), allowing surface dust to accumulate for that length of time. In total, 125 surface dust samples were collected along a grid pattern within Fallon as well as outside of Fallon to establish background concentrations of metals (Amini et al 2005;Rimmer et al 2006;Biasioli et al 2006). Within Fallon, the grid cell length was 0.5 km, which maximized the sampling density inside the town.…”
Section: Methodsmentioning
confidence: 99%
“…The other sources of nonoccupational toxic metal exposure to Iranian population are fish and seafood [42], plant leaves [43], contaminated soils [44], and agricultural land [45]. Leaves and soils have been used to monitor trace element contamination in urban and industrial areas as an alternative to conventional instrumental monitoring.…”
Section: %Rsd = Percent Relative Standard Deviationmentioning
confidence: 99%
“…Ordinary indicator kriging estimates for related threshold z k by linear combination of (n) neighboring indicator transformed data by the following equation (Amini et al 2005): where λ α (z k ) is the weight in threshold z k for location α. The semivariograms of indicator threshold values are necessary to solve the kriging equation.…”
Section: Discussionmentioning
confidence: 99%
“…The semivariograms of indicator threshold values are necessary to solve the kriging equation. The necessary indicator semivariograms for the thresholds can be modeled by the following equation (Amini et al 2005):…”
Section: Discussionmentioning
confidence: 99%