Comparison of pollutant source tracking approaches: Heavy metals deposited on urban road surfaces as a case study

Hong, Nian; Yang, Bo; Tsang, Daniel C.W.; Liu, An

doi:10.1016/j.envpol.2020.115253

Cited by 20 publications

(3 citation statements)

References 49 publications

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“…RDA revealed a positive correlation between RL, Cu, and Pb. Previous studies had shown that coal combustion is the primary source of Cu and Pb pollution, and most of China's energy supply comes from coal combustion, which is the identified element of motor vehicle pollution sources, influenced by industrialization and urbanization [26,27]. Pb was strongly positively correlated with PD, which indicated Pb pollution was more serious in places with high population density and heavy traffic, whereas Cu was strongly positively correlated with GDP ,which indicated Cu pollution was also slightly influenced by industry.…”

Section: Driving Factors Affecting Pollution Sources Based On Rda Ana...mentioning

confidence: 99%

Heavy Metal in River Sediments of Huanghua City in Water Diversion Area from Yellow River, China: Contamination, Ecological Risks, and Sources

Wei

Wang

Liu

et al. 2022

Water

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Determination of heavy metal (HM) contamination, ecological risks, and sources in river sediments are important to preventing and controlling environmental pollution. This study investigated the spatial distribution, potential ecological risks, and biological toxicity of five heavy metals in river sediments of Huanghua City in the water diversion area from the Yellow River, China. GIS, redundancy analysis (RDA), and the positive matrix factorization (PMF) model were used to accurately quantify the pollution sources and the spatial distribution of pollution sources. The results revealed that Cu had the highest degree of natural pollution, and the source mainly comes from traffic. Residential land (RL), population density (PD), GDP, and industrial construction (IC) make high contributions to traffic pollution; the highest level of potential ecological risk was Hg, and the source mainly comes from industrial wastewater discharges. IC makes a high contribution to industrial wastewater discharges pollution; the highest effect of bio-toxic risk was As, and the source mainly comes from farmland drainage water. Agricultural production potential (APP) and water area (WA) make high contributions to farmland drainage water pollution; Zn might be of natural origin, and woodlands (WLs) make high contribution to natural origin. This result provided a new idea for the system control of sediment heavy metal pollution in Huanghua City.

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Section: Driving Factors Affecting Pollution Sources Based On Rda Ana...mentioning

confidence: 99%

Heavy Metal in River Sediments of Huanghua City in Water Diversion Area from Yellow River, China: Contamination, Ecological Risks, and Sources

Wei

Wang

Liu

et al. 2022

Water

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“…However, these methods do not consider the influence of environmental and anthropogenic driving variables on heavy metal content. Soil source apportionment methods usually include isotope tracing [ 16 ], principal component analysis [ 17 ], positive matrix factorization (PMF) [ 18 ], chemical mass balance [ 19 ], self-organizing maps (SOM) [ 20 ], UNMIX receptor models [ 21 ], and machine learning, including support vector machines [ 22 ], artificial neural networks [ 23 ], and random forests [ 24 ]. These methods are widely used in static status analysis.…”

Section: Introductionmentioning

confidence: 99%

Spatial-temporal variability and influence factors of Cd in soils of Guangxi, China

et al. 2023

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In this study, the regional spatial-temporal variability of cadmium (Cd) in the topsoil of Guangxi, China from 2010 to 2016 was studied from data obtained from the China Geochemical Baseline Project (CGB Ⅰ and CGB Ⅱ). The driving forces of natural and anthropogenic variables were quantitatively analyzed using a geographically and temporally weighted regression model. The results showed that 1) soil Cd was highly enriched in 2010 and in soils of Hechi city in northwest Guangxi, a non-ferrous metal mining and metallurgy area, ~17% of the samples exceeded the soil contamination risk limit. In contrast, in 2016, the topsoil Cd content decreased significantly, with 7% of sites exceeding the soil risk limit. 2) Multiple factors jointly influenced the regional spatial variability of Cd. pH and organic carbon were found to be the main factors influencing Cd content and were strongly spatially correlated with Cd. Anthropogenic activities, including mining and industrial emissions, resulted in significant Cd enrichment in local areas, whereas agricultural and domestic pollutants were relatively weakly correlated with Cd. The weathering products of carbonates were significantly enriched in Cd; thus, the geological background played a significant role in the spatial variability of Cd. Soil-forming factors, including temperature, precipitation, and elevation influenced the spatial distribution of Cd, especially in the Cd background area. 3) Anthropogenic activities were the key factors influencing temporal changes in Cd. Mining caused significant enrichment of Cd in CGB Ⅰ, while industrial emissions were the primary factor for Cd enrichment in CGB Ⅱ. In addition, natural factors also played an important role; the increased Normalized Difference Vegetation Index suggested reduced desertification and reduction of soil erosion in the watershed and in pollutants transported from upstream.

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“…Heavy metals are present in sewage sediments [14]. Sources of metals in sediments have been linked to traffic, identified as a major emission factor [15], flushing processes, and corrosion of building and structure coatings [16], atmospheric deposition associated with air pollution [17,18], industrial emissions [19,20] and contamination associated with road salts and gravel used for winter road maintenance (de-icing) [21,22].…”

Section: Introduction and Objectivementioning

confidence: 99%

Comparison of leaching behaviour of heavy metals from sediments sampled in sewer systems – environmental and public health aspect

Kujawska,

Duda-Saternus,

Szulżyk-Cieplak

et al. 2023

Ann Agric Environ Med.

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Introduction andObjective. The article analyzes the content of heavy metals and standard physical as well as chemical pollution indicators in different types of sediments from stormwater, combined sewer and sanitary sewer systems. Materials and method. Nickel, lead, chromium, copper, zinc and cadmium, as well as standard physical and chemical pollution indicators, were determined in sewage sediments. Aqueous extracts of sediments samples, taken from storm water sewer inlet sediments traps, storm sewers, sanitary sewers and combined sewers, were prepared in accordance with PN-EN 12457-2:2006. After mineralization, the concentrations of the metals: nickel, lead, chromium, copper, zinc and cadmium in the extracts were determined using the inductively coupled plasma emission spectroscopy technique. Results. The results were analyzed with a non-metric multidimensional scaling algorithm. The heavy metal content was variable depending on the sediments collection site. The heavy metals nickel, lead, chromium, copper, zinc and cadmium were found in the sediments from stormwater inlets, storm sewer and sanitary sewer channels, with variability in the concentration of individual metals. The sediments from the flushing of sanitary sewers and combined sewers did not contain cadmium. Conclusions. The content of heavy metals in sediments varied depending on the sampling location and type of sewer system, indicating the need for detailed monitoring to identify the sources of emissions. Sediments from stormwater sewers have higher concentrations of heavy metals, with those from sewer inlets showing zinc concentrations exceeding regulatory limits, highlighting the variability and potential environmental impact of different sewer systems.

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Comparison of pollutant source tracking approaches: Heavy metals deposited on urban road surfaces as a case study

Cited by 20 publications

References 49 publications

Heavy Metal in River Sediments of Huanghua City in Water Diversion Area from Yellow River, China: Contamination, Ecological Risks, and Sources

Heavy Metal in River Sediments of Huanghua City in Water Diversion Area from Yellow River, China: Contamination, Ecological Risks, and Sources

Spatial-temporal variability and influence factors of Cd in soils of Guangxi, China

Comparison of leaching behaviour of heavy metals from sediments sampled in sewer systems – environmental and public health aspect

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