Deciphering source contributions of trace metal contamination in urban soil, road dust, and foliar dust of Guangzhou, southern China

Keyphrases

• Absolute Principal Component Scores 57%
• Anthropogenic Inputs 14%
• Anthropogenic Sources 28%
• City Development 14%
• CoCr 14%
• Contamination Indices 14%
• Contamination Sources 28%
• Cu-Ni 14%
• Cu-Zn 14%
• Development Control 14%
• Dust 14%
• Emission Sources 14%
• Environmental Compartments 28%
• Environmental Matrices 14%
• Foliar Dust 100%
• Geostatistical Analysis 14%
• Geostatistics 14%
• Health Risk Assessment 14%
• Industrial Contamination 14%
• Industrial Emissions 14%
• Isotopic Data 14%
• Kriging 14%
• Land Health 14%
• Land Remediation 14%
• Lead Isotopes 14%
• Megacity 28%
• Metal Exchange 14%
• Multiple Linear Regression 28%
• Multiple Linear Regression Analysis 28%
• Pb Isotopes 14%
• Pb-Zn 14%
• Plant Factory 14%
• Pollution Control 14%
• Power Plant 14%
• Receptor Model 28%
• Road Dust 100%
• Source Contribution 100%
• Southern China 100%
• Spatial Distribution Pattern 14%
• Spatial Influence 28%
• Steel Factory 14%
• Surface Soil 14%
• Surrounding Environment 14%
• Suspended Soils 14%
• Trace Metal Contamination 100%
• Trace Metals 42%
• Traffic Emissions 14%
• Traffic Vehicle 14%
• Traffic Volume 14%
• Urban Environment 28%
• Urban Soil 100%
• Vehicle Speed 14%
• Zn-Co 14%
• Zn-Ni 14%

Earth and Planetary Sciences

• Anthropogenic Source 28%
• China 100%
• Emission Source 14%
• Geostatistics 28%
• Industrial Emission 14%
• Isotopic Composition 14%
• Kriging 14%
• Megacity 28%
• Pollution Control 14%
• Remediation 14%
• Spatial Distribution 14%
• Trace Metal 100%
• Traffic Emission 14%
• Urban Soil 100%

Agricultural and Biological Sciences

• Electric Power Plant 14%
• Geostatistical Analysis 28%
• Kriging 14%
• Pollution Control 14%
• Receptor 28%
• Remediation 14%
• Trace Metal 100%
• Urban Soils 100%