2011
DOI: 10.1007/s11270-011-0995-2
|View full text |Cite
|
Sign up to set email alerts
|

Spatial Distribution and Risk Assessment of As, Cd, Cu, Pb, and Zn in Topsoil at Rayong Province, Thailand

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
7
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 25 publications
(7 citation statements)
references
References 46 publications
0
7
0
Order By: Relevance
“…Unlike earlier reports [ 53 ], our findings did not support that the concentrations of studied elements in the soil exceeded the standards of FAO [ 54 ] and WHO [ 55 ] in the studied Province of Thailand. Simasuwannarong et al [ 56 ] also reported that the mean values of most heavy metals in the soil, except for As, were lower than Thailand’s soil quality standard for habitat and agriculture purposes and the worldwide background level. However, Krailertrattanachai et al [ 57 ] demonstrated that road edge soils went from moderately to highly polluted with Cd, Cu, Pb, and Zn, and the concentration of these elements significantly decreased with increased distance from the roads.…”
Section: Resultsmentioning
confidence: 99%
“…Unlike earlier reports [ 53 ], our findings did not support that the concentrations of studied elements in the soil exceeded the standards of FAO [ 54 ] and WHO [ 55 ] in the studied Province of Thailand. Simasuwannarong et al [ 56 ] also reported that the mean values of most heavy metals in the soil, except for As, were lower than Thailand’s soil quality standard for habitat and agriculture purposes and the worldwide background level. However, Krailertrattanachai et al [ 57 ] demonstrated that road edge soils went from moderately to highly polluted with Cd, Cu, Pb, and Zn, and the concentration of these elements significantly decreased with increased distance from the roads.…”
Section: Resultsmentioning
confidence: 99%
“…Previous studies have proven that kriging has irreplaceable advantages for data estimation because of its high accuracy and low bias [42][43][44]. For each heavy metal, at least two hundred different combinations of scenarios and parameters were tested, and the best model result was used to create a relevant kriging surface in ArcGIS.…”
Section: Methodsmentioning
confidence: 99%
“…Kriging models in ArcGIS were used to estimate the levels of five types of heavy metals from industrial wastewater. Previous studies have shown kriging to be an accurate method for data estimation because of its low bias [3,[51][52][53][54]. For each metal, at least 50 different scenarios with different parameters were tested, and the optimal model was identified by comparing root-mean-square deviation (RMSE) and paired t test results.…”
Section: Methodsmentioning
confidence: 99%