Spatial Analysis of Heavy Metal Pollution in Road-Deposited Sediments Based on the Traffic Intensity of a Megacity

Author:

Goya-Heredia Angélica Vanessa12,Zafra-Mejía Carlos Alfonso13ORCID,Rondón-Quintana Hugo Alexander3ORCID

Affiliation:

1. Maestría en Desarrollo Sustentable y Gestión Ambiental, Facultad del Medio Ambiente y Recursos Naturales, Universidad Distrital Francisco José de Caldas, Carrera 5 Este 15–82, Bogotá E-111711, Colombia

2. Grupo de Ingeniería del Agua y del Medio Ambiente—GEAMA, Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civil—CITEEC, Universidade da Coruña, Campus de Elviña s/n, E-15008 A Coruña, Spain

3. Grupo de Investigación en Ingeniería Ambiental—GIIAUD, Facultad del Medio Ambiente y Recursos Naturales, Universidad Distrital Francisco José de Caldas, Carrera 5 Este 15–82, Bogotá E-111711, Colombia

Abstract

Population growth has led to the intensification of average daily traffic (ADT), highlighting vehicles as one of the major sources of heavy metal (HM) pollution in cities. The objective of this paper is to conduct a spatial analysis of the HM pollution associated with road-deposited sediments (RDSs), based on the ADT observed in the main roads of a Latin American megacity (Bogotá, Colombia). The following risk indices were considered: Geoaccumulation Index (Igeo), Integrated Pollution Index (IPI), Ecological Risk Index (ERI), Comprehensive Potential Ecological Risk Index (CERI), Hazard Index (HI), and Carcinogenic Risk Index (CRI). The findings confirm that a size fraction < 250 μm is the most suitable for studying the risk of HMs in the RDS from the indices considered. The best HMs indicative of the relationship with ADT are Ni, Cu, and Pb. The Pb is the HM of most attention, and Cr gains positions for its toxicity level during the evaluation of ecological, non-carcinogenic, and carcinogenic risks, respectively. Finally, the linear regression models developed between ADT and each of the risk indices considered have a better fit (R2 > 0.910) compared to the linear regression models developed between ADT and HM concentrations (R2 > 0.322).

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

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