Abstract
Aim i) is there a difference in the level of contamination in the different parts of the basin in the water, sediment and aquatic macrophytes compartments? and ii) do the three compartments respond similarly to metal contamination?
Methods Samples of water, sediment and aquatic macrophytes (Salvinia auriculata Aubl., Pistia stratiotes L., Ludwigia helminthorrhiza (Mart.) H. Hara and Eichhornia crassipes (Mart.) Solms) were collected at 10 sampling sites in different stretches of a tropical hydrographic basin. We determined the metal concentrations of Fe, Pb, Ni, Zn, Mn, Cr, Cu and Cd, and to the results we applied Principal Component Analysis (PCA), separately for each compartment, to order the sampling sites.
Results Fe and Mn had higher concentrations than other metals in plants and sediment. With the exception of Mn, the order of metals was similar between water and sediment. However, the PCAs ordered the sampling sites differently. Our results demonstrated that the ordering of sampling sites by metal concentrations differs among water, sediment and macrophytes.
Conclusions We conclude that to evaluate the contamination of aquatic environments by metals and the effects of contamination on the food chain, it is not enough to evaluate them only in water or sediment, but also in an aquatic community.
Keywords: metallic contaminants; water pollution; fluvial ecosystem; aquatic macrophytes
Resumo
Objetivo i) existe diferença no grau de contaminação nas diferentes partes da bacia nos compartimentos água, sedimento e macrófitas aquáticas? e ii) os três compartimentos respondem de forma semelhante à contaminação por metais?
Metódos Amostras de água, sedimento e macrófitas aquáticas (Salvinia auriculata Aubl., Pistia stratiotes L., Ludwigia helminthorrhiza (Mart.) H. Hara e Eichhornia crassipes (Mart.) Solms) foram coletadas em 10 locais de amostragem em diferentes trechos de uma bacia hidrográfica tropical. Foram determinadas as concentrações de Fe, Pb, Ni, Zn, Mn, Cr, Cu e Cd e aos resultados nós aplicamos uma Análise de Componentes Principais (ACP), separadamente para cada compartimento, para ordenar os locais de coleta.
Resultados Fe e Mn mostraram maiores concentrações do que os outros metais nas plantas e no sedimento. Com exceção do Mn, a ordem dos metais foi similar na água e no sedimento. No entanto, a ACP ordenou os locais de coleta de forma diferente. Nossos resultados demonstraram que a ordenação dos locais de amostragem por concentração de metais difere entre água, sedimento e macrófitas.
Conclusão Nós concluímos que avaliar a contaminação de ambientes aquáticos por metais e os efeitos da contaminação na cadeia alimentar, não basta avalia-los apenas na água e sedimento, mas também em alguma comunidade aquática.
Palavras-chave: contaminantes metálicos; poluição da água; ecossistema fluvial; macrófitas aquáticas
1. Introduction
Metals are natural elements of the earth's crust, however, due to anthropic activities, the concentration of these elements in the most diverse ecosystems has been increasing. Thus, the pollution of aquatic environments by metals has attracted worldwide attention, as they persist in nature, as they are not destroyed (Chopra et al., 2009), originate from different sources (Guo et al., 2012; Yu et al., 2014) and accumulate in aquatic organisms, which can be magnified in the food web (Aydin-Önen & Öztürk, 2017; Loureiro & Hepp, 2020). Metals have high toxicity, being harmful to most aquatic organisms and can cause harm to human health (Chowdhury et al., 2016; Ali et al., 2016; Antoniadis et al., 2017).
Many studies analyze the concentration of metals in aquatic environments, however, most studies determine the concentration of metals only in water and sediment (Torregroza-Espinosa et al., 2018; Hossain et al., 2020; Zhao et al., 2020). Furhtermore, it is essential to understand whether different compartments of the aquatic ecosystem behave the same way in relation to contamination by metals. Thus, it is necessary to analyze the concentrations of metals in water, sediment and in aquatic organisms, since the metals have the capacity to be transferred constantly from one compartment to another. Therefore, analysis of water, sediment and aquatic communities, such as aquatic macrophytes, should be performed to assess general metal pollution and the impact of these contaminants on aquatic ecosystems (Li et al., 2019).
The metals released into rivers and lakes can become deposited in the sediments and, later, be released again to the water column (Huang et al., 2012) to later be absorbed and accumulated in the tissues of the organisms in the trophic web (Said et al., 2009; Fazio et al., 2014; Krishnamurti et al., 2015; Shakouri & Gheytasi, 2018). Thus, monitoring of metal pollutants only in the water column is insufficient to assess the contamination of aquatic environments by metals, since sediments can cause secondary pollution to the aquatic environment (Xu et al., 2017). Therefore, sediment is an important compartment (Wan et al., 2016; Yang et al., 2016) to be studied, as well as the aquatic organisms that are at the base of the trophic web and absorb metallic contaminants.
Aquatic macrophytes underlie the trophic web, playing an important role in nutrient cycling through active and passive transport of elements (Azaizeh et al., 2006; Yoon et al., 2006). These plants absorb nutrients and other ions from water and/or sediment, and can be used in the treatment of effluents, due to their ability to accumulate contaminants and store them in biomass (Henry-Silva & Camargo, 2006; Mishra & Tripathi, 2008; Hassan et al., 2010; Jutsz & Gnida, 2015; Ugya, 2015; Kumar et al., 2017; Mishra & Maiti, 2017). In addition, aquatic macrophytes can be used to assess metal contamination in aquatic ecosystems (Griboff et al., 2017; Sijakova-Ivanova et al., 2017; Hesami et al., 2018; Zhang et al., 2018).
The Apodi-Mossoró river basin located in a semi-arid region has great socioeconomic importance, however, the water bodies have many environmental impacts (Medeiros et al, 2023). The water resources of the river basin are used in the most diverse human activities, among them, the watering of animals and for human consumption after treatment. Araújo & Pinto Filho (2010) identified several polluting sources of heavy metals in the soils of the Apodi-Mossoró river basin. Paula Filho et al. (2021) evaluated metal concentrations in the sediment of the Parnaíba river estuary (Brazilian semi-arid region) and Campagna-Fernandes et al. (2022) developed ecotoxicological studies on water and sediment samples from the Apodi-Mossoró river. Furhtermore, studies on metal concentrations in water, sediments and aquatic organisms have not been carried out in the region. In this context, we evaluated the concentrations of metals (copper, iron, manganese, zinc, nickel, chromium, lead and cadmium) in water, sediment and aquatic macrophytes S. auriculata, P. stratiotes, L. helminthorrhiza and E. crassipes in different sites in a hydrographic basin in the semi-arid region of Brazil. Our objectives were to answer the following questions: i) is there a difference in the level of contamination in the different parts of the basin in the water, sediment and aquatic macrophytes compartments? and ii) do the three compartments respond similarly to metal contamination?
2. Methods
2.1. Study area
This study was conducted in aquatic environments of the River Apodi-Mossoró hydrographic basin located in semiarid Brazil (Figure 1). Average precipitation in the hydrographic basin is 700 mm per year (SEMARH, 2017) and the average annual air temperature is 28 ° C, with an average maximum of 36°C and an average minimum of 20°C, while the relative humidity of the air (annual average) is 68%. The climate of the region, according to the Köppen climate classification (Kottek et al., 2006), is type BSwh, that is, very hot and semi-arid climate with the rainy season covering the months of February, March, April and May. The basin occupies an area of 14,276 km2, and constitutes the main source of surface water for the region (IGARN, 2018). The hydrographic basin has an altitude that varies from 1m to 830 m, and the total length of channels ranging from the first to the seventh order is equivalent to 11,085.87 km (Lira de Carvalho & Henry-Silva, 2022). According to Siqueira et al. (2022), the Apodi-Mossoró River has stretches with eutrophic and hypereutrophic waters, in addition to a large amount of fecal coliforms, especially in the stretches where it crosses urban areas. In other stretches it was classified, by these authors, as mesotrophic, in addition the trophic state indices are higher in periods of drought. For more information about the basin see Henry-Silva & Camargo (2022).
Location of the study area. The numbers indicate the sampling sites in the Apodi-Mossoró river basin, state of Rio Grande do Norte, Northeastern Brazil. Caption: Water flows from site 1 to 10. Sites 3, 7 and 8 are tributaries and the rest are mains streams.
The municipalities located in the hydrographic basin with the highest population densities according to the IBGE estimate for the year 2020 are Mossoró with an estimated 300,618 inhabitants, Pau dos Ferros with 30,600 and Apodi with 35,874 inhabitants (IBGE, 2010). The activities developed in the hydrographic basin, such as oil extraction, sea salt production, irrigated fruit production, extensive livestock, limestone mining, agriculture and livestock are sources of pollutants for water. The basin has an area of crystalline geological formation, consisting of igneous and metamorphic rocks and another area of sedimentary formation, formed by sandy-clay and limestone rocks. The first area is approximately 6,500 km2 and the second, 4,500 km2 (Justo et al., 2016).
2.2. Sampling procedure
We sampled 10 sites in the River Apodi-Mossoró hydrographic basin (Figure 1) in stretches that cross urban center in October 2017, in the dry season. This study was carried out in the dry season because at this time there is less dilution and, consequently, higher concentrations of substances and chemical elements in the water. Generally higher concentrations of metals in water are detected in water bodies during the dry season (Kamari et al., 2017). In these places we collected water, sediment and S. auriculata, P. stratiotes, L. helminthorrhiza and E.crassipes. A sample was collected at each of the sites.
The sampling sites were selected according to the occurrence of the studied aquatic macrophytes and also aiming to contemplate stretches of the river that cross the cities with the highest population density, with seven of the sampling sites (4 to 10) being located in the city with the largest number of habitats and greater occurrence of aquatic macrophytes in the river. In the hydrographic basin of the River Apodi-Mossoró, several species of aquatic macrophytes occur, with the lowest richness observed in the estuarine region and the highest in the upper part of the hydrographic basin. The most frequent free-floating species in the basin are E. crassipes, P. stratiotes, and S. auriculata, which occur predominantly in stretches surrounded by urban centers and the most frequent rooted floating-leaf species is L. helminthorrhiza (Henry-Silva et al., 2010).
Direct measurements and water samples were performed at approximately 50 cm deep near the margin at each sampling sites. Total dissolved solids (TDS) and pH were obtained with Horiba U10 equipment. Water samples of 150 ml were collected in pre-sterilized bottles washed with nitric acid (HNO3), to which 2 ml of HNO3 (concentrate) was added for preservation. Samples of surface sediment (approximately 1 kg) were collected and stored in plastic bags for transport to the laboratory. The species of aquatic macrophytes were collected at the sampling sites where they occurred (Table 1) in sufficient quantity for subsequent determination of metals. We tried to sample species with similar characteristics, that is, green leaves and a healthy appearance.
Occurrence of the four studied species of aquatic macrophytes among sampling sites of River Apodi-Mossoró, state of Rio Grande do Norte, Northeast Brazil.
2.3. Laboratory procedure
The sediment samples were dried in an oven at 60°C until constant mass, and were subsequently incinerated in a muffle furnace, according to the method described by Goldin (1987), to determine organic matter (OM). The samples of aquatic macrophytes (leaf, rhizomes and root) were washed first with running water and then with distilled water, then dried in an oven at 60°C, ground in a Willey mill and stored in labeled plastic pots. Next, 2.0 g of macrophyte samples and 0.400 g of crushed sediment samples were placed in a crucible and baked in a muffle furnace for two hours at a temperature of 560°C to remove organic matter. Subsequently, 10 ml of hydrochloric acid (concentrate) and 3 ml of nitric acid (concentrate) were added and the macrophyte samples were heated to 300°C in a block heater. After cooling, the samples were transferred to 100 ml volumetric flasks and the volume completed with deionized water. The acids used to analyze metals in water, sediment and macrophytes were used in the same proportion to compose the blanks used in the analyses. All determinations were carried out in accordance with quality control. For quality assurance we use standard reagents analysis of certified reference (Table 2). The precision of analysis for heavy metals was validated through Standard Reference Material sample – SRM 928 NIST (US National Institute of Standards and Technology) (NIST, 2016). Standard curves were constructed using standard solutions with known con-centrations to calculate sample concentrations. All metal analyzes were performed in duplicate.
Metal analysis of the water used the 3015a method (C.A.S. Element, 2007) while of the sediment was performed by the 3050b method (A. M. Arsenic, 1996). Determination of metals in macrophytes followed an adaptation of the 3050b method (A. M. Arsenic, 1996). The metals analyzed in the three compartments were copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), nickel (Ni), chromium (Cr), lead (Pb) and cadmium (Cd). All analyses were performed using a Varian model AA240FS atomic absorption spectrophotometer.
2.4. Statistical analysis
For the values of concentration of metals in water, sediment and aquatic macrophytes, we applied Principal Component Analysis (PCA) separately for each compartment. The purpose of applying the PCAs was to verify whether the three compartments respond equally to metal concentrations, that is, the ordering of sites would be similar or different for the three compartments. Before applying the PCA, the values were standardized to minimize the influence arising from the difference in metal concentration in the sampled locations (Singh et al., 2005; Zhou et al., 2007). Correlation tests (p<0,05) were applied between the concentrations of metals in water and in of macrophyte E. crassipes. We applied correlations only to E. crassipes, as the other species occurred in few sites. Statistical analysis was performed in the free software R Core Team (2018) using the Vegan package.
3. Results
3.1. Physical and chemical variables
Physical and chemical analyses of water found the pH to range from 6.9 at sampling site 1 to 8.6 at site 2 and was alkaline at all the other sampling sites. Total dissolved solids (TDS) ranged from 0.23 g.L at site 2 to 1.70 g.L at site 8. Percentage OM of sediment ranged from 0.4% at site 3 to 26% at site 1 (Table 3).
Values for hydrogen potential (pH) and total dissolved solids (TDS) in water and organic matter (OM) in sediment of sampling sites of a river located in a semiarid climate region.
3.2. Metals in water and sediment
The analysis of metals from sediment samples revealed that the metal with the highest concentration was Fe, with a value of 16,244.91 mg.kg-1 at sampling site 10, whereas Cd had the lowest value, with a minimum of 1.73 mg.kg-1 at site 6. The highest concentrations of metals in water samples occurred at site 5, with 0.049 mg.L-1 of Cu; 1.143 mg.L-1 of Zn; 0.066 mg.L-1 of Cr; 0.486 mg.L-1 of Ni; 0.025 mg.L-1 of Cd and 0.485 mg.L-1 of Pb. Site 4 had the highest concentration of Fe (1.386 mg.L-1) and site 6 had the highest concentration of Mn (0.242 mg.L-1) (Figure 2).
Metal concentration of surface sediment (mg.kg-1) and water (mg.L-1) in sampling sites of the Apodi-Mossoró river basin.
3.3. Metals in aquatic macrophytes
Metals with the highest concentrations in macrophyte plant tissues were Fe and Mn, while the lowest concentrations were for Cd and Cr. The highest concentration of Cu was 31.35 mg.kg-1 for S. auriculata at site 3, while the highest concentration of Mn was 17,827.31 mg.kg-1 for L. helminthorrhiza at site 2. The highest concentrations of Fe, Zn and Cr were 10,909.53 mg.kg-1, 219.82 mg.kg-1 and 10.17 mg.kg-1, respectively, for P. stratiotes at site 3. The highest concentrations of Pb and Cd were both for P. stratiotes, with 73.13 mg.kg-1 at site 9 and 1.45 mg.kg-1 at site 10, respectively. The species E. crassipes had the highest concentration of Ni with 18.80 mg.kg-1 at site 8 (Table 4).
Metal concentrations (mg.kg-1) in aquatic macrophytes collected from sampling sites of a river located in a semiarid climate region.
The first two axes of the Principal Component Analysis explained 65.64% of the data for metal in water samples, 66.16% for sediments and 58.36% for the metal data in the macrophytes (Figure 3 and Table 5). In the water PCA, all metals are negatively correlated with axis 1. Thus, sites 5 and 4 are the ones with the highest concentrations of metals, especially Zn, Ni and Pb, which are the ones with the highest correlation with axis 1. In the sediment PCA most metals are positively correlated with axis 1 and the metals with the highest correlation are Fe, Zn and Cr. In the PCA of macrophytes, some metals are positively correlated and others are negatively correlated. The ones with the highest positive correlation are Cu and Ni and with the highest correlation which is negative Pb. In addition, in the PCA applied to aquatic macrophytes P. stratiotes has more Pb in site 9, while in site 3, P. stratiotes and S. auriculata have higher concentrations of Cr and Fe.
Principal Component Analysis of metals contained in (A) water, (B) sediment and (C) aquatic macrophytes and their respective correlation values between variables and principal components 1 and 2. Numbers correspond to sampling sites along of a river located in a semiarid climate region. L = L. helminthorrhiza; S = S. auriculata; P = P. stratiotes; E = E. crassipes.
Factorial coordinates of the parameters, based on correlations from the Principal Component Analysis.
Significant correlations were found between the concentrations of Mn, Fe and Cr in the sediment and the percentage of organic matter in the sediments (Figure 4).
Correlation graph between metal concentrations and percentage of organic matter in the sediment.
No significant correlation was found between the concentrations of metals in the water and in the macrophyte E. crassipes present in eight sampling sites. In the other species of aquatic macrophytes, L. helminthorrhiza, S. auriculata and P. stratiotes, correlation tests were not carried out due to the small number of samples.
4. Discussion
Our results showed that the concentrations of metals in water, sediments and aquatic macrophytes do not have the same pattern. The PCAs order the sampling sites very differently, and the correlations of metals with the axes are also quite different. These differences were probably due to the characteristics of each compartment, such as the granulometric texture of sediment, which influences metal distribution (Sun et al., 2018). The concentration of metals in the different compartments of the sampling sites depends on opposing processes, such as resuspension and sedimentation and the physiology of macrophytes in absorbing or excreting metals (Xia et al., 2018). Moreover, urbanization also influences metal concentrations, as can be observed in locations 2 and 3, which are less urbanized areas and have the lowest concentrations of metals in water and sediments.
The different concentrations of metals in the sediment can be explained by the characteristics of this compartment. For example, sediments with higher organic matter content tend to accumulate more metals (Martins et al., 2021). The reduced amounts of organic matter preclude the formation of stable complexes between metals and humic substances present in organic matter (Clemente et al., 2006). Sites 2 and 3, for example, had a small percentage of organic matter, with 1% and 0.4%, respectively, so probably, metals did not accumulate in the sediment, as observed by the lower concentrations for Cu, Mn, Fe and Cr in the sediment of these sites. It was possible to observe a significant correlation between the organic matter present in the sediments and the metals Mn, Fe and Cr.
Metal concentrations in water also differed among sampling sites. Low concentrations in water may be the result of absorption by free floating aquatic macrophytes or sediment retention. At site 10, for example, Mn and Fe concentrations were high in the sediment that containing high percentages of organic matter and in the biomass of P. stratiotes. In fact, organic matter influences the distribution and dispersion of metals through chelation and cation exchange mechanisms (El-Badry & El-Kammar, 2018), while metals present in the water column are largely absorbed by macrophytes (Ergönül et al., 2019).
In this study, the metals that showed the highest concentrations in water and sediments were Fe and Mn. However, de Paula Filho et al. (2021) observed in sediments from the estuary of the Parnaíba River (semiarid northeast of Brazil) the following ranking: Al > Fe > Mn > Zn > Cr > Ni > Cu > Pb > Cd, which with the exception of Al followed the same pattern that we observed. We highlight that this study has a geochemical bias and metals were not evaluated in any aquatic community. Hossain et al. (2020) in a study on metals in the Kutubdia Channel near Matarbari, Cox's Bazar, Bangladesh, identified that the contaminants with the highest concentrations in water and sediments were Fe and Mn and associated this result with the origin of these contaminants. The presence of these pollutants in aquatic ecosystems is associated with processes of natural origin and also human intervention in the biogeochemistry of the metal cycle (Saleem et al., 2015). The anthropic sources of these metals are domestic and industrial effluents, agricultural fertilizers, vehicle exhaust particles emission, tire wear particles, worn pavement surface particles (Duong & Lee 2011; Mohiuddin et al., 2011; Adamiec et al., 2016; Belkhiri et al., 2017) among other sources. In fact, the source of metals at sampling site 2 was possibly from agricultural fertilizers, as it has close agricultural areas. The anthropic sources of metals in the other sampling sites were possibly originated from domestic effluents that are discharged along the river, and from particles from vehicle exhaust, from tire wear and from worn pavement surfaces, considering that these sampling sites are located in urban areas. In fact, Campagna-Fernandes et al. (2022) carried out ecotoxicological studies of water and sediment samples from urban areas of the Apodi-Mossoró basin and observed moderate toxic effects on some organisms.
Metal concentrations in biomass were very different among the different aquatic macrophyte species, in which metals also accumulate differently. Concentrations of Fe, Mn and Zn in the four macrophyte species were higher than the other metals studied. This result is probably related to the fact that these elements are essential micronutrients for plants. The four macrophyte species accumulated, in most places, lower concentrations of Cr and Cd, because in addition to these metals being in low concentrations in water and sediment, this result was probably also due to the high toxicity of these metals even in small amounts as demonstrated by other authors (Zayed & Terry, 2003; Bonanno & Giudice, 2010; Alfadul & Al-Fredan, 2013; Gómez-Bernal et al., 2017). Although Ni is an essential micronutrient for plants, only small concentrations of this element were observed in the studied species, probably because high concentrations of Zn and Fe inhibit Ni uptake because they are competing metals (IPNI, 2016), while lower Cu concentrations in plants may be due to small amounts of this metal in water.
The accumulation of metals in the plant biomass of aquatic macrophytes can also be influenced by pH. Vanhoudt et al. (2018) identified a higher absorption capacity for cobalt metal by four macrophyte species at pH of 5 to 7 and lower absorption starting at pH 9, while the high pH (> 8.0) does not seem to stimulate the bioaccumulation of the metals (Lin et al., 2020). However, although the pH of the sampled sites varied between 6.9 and 8.6, the macrophytes were able to bioaccumulate the metals, demonstrating that other factors have a greater influence on their absorption and accumulation of metals, such as temperature (Balle et al., 2021).
The presence of total dissolved solids (TDS) is another factor that can affect the absorption of metals by aquatic plants since they can be composed of dissolved substances such as chlorides, sulfates and bicarbonates (Miranda & Krishnakumar, 2015) that can bind to metals and prevent them from being absorbed by macrophytes. The species L.helminthorrhiza and S. auriculata in site 2, presented higher concentrations of metals than those same species located in site 9. In site 2 the dissolved solids values are 6 times smaller than the values in site 9. Which can explain our results. On the other hand, other factors such as the concentration of metals in the abiotic compartments and also the toxicity of each metal presented by macrophytes also interfere in the accumulation of these contaminants in plant biomass. Thus, the influence of pH and total dissolved solids cannot be considered single in a natural aquatic environment.
Similar to Cd and Cr, Pb is a toxic metal, however, it accumulated in higher concentrations in the biomass of the four aquatic macrophyte species analyzed when compared to the accumulation of Cd and Cr metals by the same species. Li et al. (2019) in a study about the concentrations of metals in the biomass of Potamogeton crispus Linn. and Salvinia natans L. in a river in China, identified that P. crispus accumulated higher levels of Cr, Ni, Cu and Zn, while S. natans showed high efficiency to accumulate Pb and Zn. Napaldet & Buot Junior (2020) and Malik et al. (2010) indicated that Eleusine indica is a good phytoaccumulator of Pb, however, this same species is inefficient for removing other metals, such as Cu, Cd, Cr and Co (Garba et al., 2012). Thus, it is evident that the concentration of Pb in the biomass of aquatic macrophytes is also related to the concentrations of this metal in water and sediments that were higher than those presented by Cd and Cr, and the influence of environmental conditions, also depends on the ability that each species of macrophyte presents to accumulate this metal.
No relationship was observed between the concentration of metals in water and in E. crassipes. This result shows that the concentration of metals in plant biomass does not only depend on the concentration in water, since the absorption of metals by plants is influenced by the bioavailability of metals and the absorption capacity of each plant species (Gupta & Sinha, 2007; Núñez et al., 2011; Borisova et al., 2014, 2016). In addition, plant defense mechanisms reduce metal absorption (Bonanno, 2011; Vymazal, 2011). Another point to note is that the metal absorption capacity of E. crassipes is more efficient in places with reduced metal concentrations (Das et al., 2016). This result indicates that, despite absorbing the metals contained in aquatic ecosystems, caution is necessary when stating that E. crassipes is a good indicator of contamination, since it is necessary to consider the response of the species to each metal, due to their toxicity, and the physical and chemical conditions of the aquatic environment that can interfere with metal absorption.
5. Conclusions
We conclude that the assessment of metal concentrations in water or sediment is not sufficient to indicate contamination in aquatic biota. Higher concentrations in these compartments do not necessarily indicate higher concentrations in any aquatic community, such as macrophytes. Thus, for the monitoring of metal contamination of an aquatic environment, it is necessary that research address metal concentrations in water, sediment and some aquatic organism.
Data availability
All research data analyzed in the research is available in the Dataverse of Acta Limnologica Brasiliensia in SciELO Data. Access is free. It can be accessed in https://data.scielo.org/dataset.xhtml?persistentId=doi:10.48331/scielodata.AJDWFE
Acknowledgements
The authors would like to acknowledge Dr. Herbster Ranielle Lira de Carvalho for the elaboration of the Figure 1 and laboratory technician Paula Romyne de Morais Cavalcante Neitzke. This study was funded in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001. GHGS is partially supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
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Cite as: Oliveira, C.T.A. et al. Concentrations of metals in water, sediments and aquatic macrophytes in a river located in a region with a hot semi-arid climate. Acta Limnologica Brasiliensia, 2024, vol. 36, e17. https://doi.org/10.1590/S2179-975X6523
References
- A. M. Arsenic, 1996. Method 3050b. Acid Digestion of Sediments, Sludges, and Soils. Washington, DC: A.M. Arsenic.
-
Adamiec, E., Jarosz-Krzemińska, E., & Wieszala, R., 2016. Heavy metals from non-exhaust vehicle emissions in urban and motorway road dusts. Environ. Monit. Assess. 188(6), 369. PMid:27226173. http://doi.org/10.1007/s10661-016-5377-1
» http://doi.org/10.1007/s10661-016-5377-1 -
Alfadul, S.M.S., & Al-Fredan, M.A.A., 2013. Effects of Cd, Cu, Pb, and Zn combinations on Phragmites australis metabolism, metal accumulation and distribution. Arab. J. Sci. Eng. 38(1), 11-19. http://doi.org/10.1007/s13369-012-0393-0
» http://doi.org/10.1007/s13369-012-0393-0 -
Ali, M.M., Ali, M.L., Islam, M.S., & Rahman, M.Z., 2016. Preliminary assessment of heavy metals in water and sediment of Karnaphuli River, Bangladesh. Environ. Nanotechnol. Monit. Manag. 5, 27-35. http://doi.org/10.1016/j.enmm.2016.01.002
» http://doi.org/10.1016/j.enmm.2016.01.002 -
Antoniadis, V., Levizou, E., Shaheen, S.M., Ok, Y.S., Sebastian, A., Baum, C., Prasad, M.N.V., Wenzel, W.W., & Rinklebe, J., 2017. Trace elements in the soil-plant interface: phytoavailability, translocation, and phytoremediation–A review. Earth Sci. Rev. 171, 621-645. http://doi.org/10.1016/j.earscirev.2017.06.005
» http://doi.org/10.1016/j.earscirev.2017.06.005 - Araújo, J.B.D.S., & Pinto Filho, J.L.O., 2010. Identificação de fontes poluidoras de metais pesados nos solos da bacia hidrográfica do Rio Apodi, Mossoró, RN, na área urbana de Mossoró, RN. Rev. Verde Agroecol. Desenvolv. Sustent. 5(2), 13.
-
Aydin-Önen, S., & Öztürk, M., 2017. Investigation of heavy metal pollution in eastern Aegean Sea coastal waters by using Cystoseira barbata, Patella caerulea, and Liza aurata as biological indicators. Environ. Sci. Pollut. Res. Int. 24(8), 7310-7334. PMid:28105592. http://doi.org/10.1007/s11356-016-8226-4
» http://doi.org/10.1007/s11356-016-8226-4 -
Azaizeh, H., Salhani, N., Sebesvari, Z., Shardendu, S., Emons, H., 2006. Phytoremediation of selenium using subsurface-flow constructed wetland. Int J of Phytoremediation, 8(3), 187-198. http://doi.org/10.1080/15226510600846723
» http://doi.org/10.1080/15226510600846723 - Balle, M.G., Ferragute, C., Coelho, L.H.G., & Jesus, T.A., 2021. Phosphorus and metals immobilization by periphyton in a shallow eutrophic reservoir. Acta Limnol. Bras. 33, e11. https://doi.org/10.1590/S2179-975X0320.
-
Belkhiri, L., Mouni, L., Narany, T.S., & Tiri, A., 2017. Evaluation of potential health risk of heavy metals in groundwater using the integration of indicator kriging and multivariate statistical methods. Groundw. Sustain. Dev. 4, 12-22. http://doi.org/10.1016/j.gsd.2016.10.003
» http://doi.org/10.1016/j.gsd.2016.10.003 -
Bonanno, G., & Giudice, R.L., 2010. Heavy metal bioaccumulation by the organs of Phragmites australis (common reed) and their potential use as contamination indicators. Ecol. Indic. 10(3), 639-645. http://doi.org/10.1016/j.ecolind.2009.11.002
» http://doi.org/10.1016/j.ecolind.2009.11.002 -
Bonanno, G., 2011. Trace element accumulation and distribution in the organs of Phragmites australis (common reed) and biomonitoring applications. Ecotoxicol. Environ. Saf. 74(4), 1057-1064. PMid:21316762. http://doi.org/10.1016/j.ecoenv.2011.01.018
» http://doi.org/10.1016/j.ecoenv.2011.01.018 -
Borisova, G., Chukina, N., Maleva, M., & Prasad, M.N.V., 2014. Ceratophyllum demersum L. and Potamogeton alpinus Balb. from Iset’river, Ural region, Russia differ in adaptive strategies to heavy metals exposure–a comparative study. Int. J. Phytoremediation 16(6), 621-633. PMid:24912247. http://doi.org/10.1080/15226514.2013.803022
» http://doi.org/10.1080/15226514.2013.803022 -
Borisova, G., Chukina, N., Maleva, M., Kumar, A., & Prasad, M.N.V., 2016. Thiols as biomarkers of heavy metal tolerance in the aquatic macrophytes of Middle Urals, Russia. Int. J. Phytoremediation 18(10), 1037-1045. PMid:27167595. http://doi.org/10.1080/15226514.2016.1183572
» http://doi.org/10.1080/15226514.2016.1183572 - C.A.S. Element, 2007. Method 3015a. Microwave Assisted Acid Digestion of Aqueous Samples and Extracts. Washington, DC: C.A.S. Element.
- Campagna-Fernandes, A.F., Farias-Júnio, J.W.M., Silva, A.C.A., Costa Segundo, H.P., & Aquino, D.D. (2022). Estudos ecotoxicológicos no rio Apodi-Mossoró. In: Henry-Silva, G.G., Camargo, A.F.M., orgs. A Bacia do Rio Apodi-Mossoró: aspectos ambientais, sociais e econômicos de uma bacia hidrográfica do semiárido do Rio Grande do Norte. Mossoró: EDUFERSA, vol. 1, 129-148.
-
Chopra, A.K., Pathak, C., & Prasad, G., 2009. Scenario of heavy metal contamination in agricultural soil and its management. J. Appl. Nat. Sci. 1(1), 99-108. http://doi.org/10.31018/jans.v1i1.46
» http://doi.org/10.31018/jans.v1i1.46 -
Chowdhury, S., Mazumder, MJ., Al-Attas, O., Husain, T. (2016). Heavy metals in drinking water: occurrences, implications, and future needs in developing countries. Sci. Total Environ. 569-570, 476-488. http://doi.org/10.1016/j.scitotenv.2016.06.166
» http://doi.org/10.1016/j.scitotenv.2016.06.166 -
Clemente, R., Escolar, A., & Bernal, M.P., 2006. Heavy metals fractionation and organic matter mineralisation in contaminated calcareous soil amended with organic materials. Bioresour. Technol. 97(15), 1894-1901. PMid:16223584. http://doi.org/10.1016/j.biortech.2005.08.018
» http://doi.org/10.1016/j.biortech.2005.08.018 -
Das, S., Goswami, S., & Talukdar, A.D., 2016. Physiological responses of water hyacinth, Eichhornia crassipes (Mart.) Solms, to cadmium and its phytoremediation potential. Turk. J. Biol. 40(1), 84-94. http://doi.org/10.3906/biy-1411-86
» http://doi.org/10.3906/biy-1411-86 -
Duong, T.T., & Lee, B., 2011. Determining contamination level of heavy metals in road dust from busy traffic areas with different characteristics. J. Environ. Manage. 92(3), 554-562. PMid:20937547. http://doi.org/10.1016/j.jenvman.2010.09.010
» http://doi.org/10.1016/j.jenvman.2010.09.010 -
El-Badry, A.E.A., & El-Kammar, A.M., 2018. Spatial distribution and environmental geochemistry of zinc metal in water and surficial bottom sediments of Lagoon Burullus, Egypt. Mar. Pollut. Bull. 127, 811-816. PMid:29042108. http://doi.org/10.1016/j.marpolbul.2017.10.002
» http://doi.org/10.1016/j.marpolbul.2017.10.002 -
Ergönül, M.B., Nassouhi, D., & Atasağun, S., 2019. Modeling of the bioaccumulative efficiency of Pistia stratiotes exposed to Pb, Cd, and Pb+ Cd mixtures in nutrient-poor media. Int. J. Phytoremediation 22(2), 201-209. PMid:31475565. http://doi.org/10.1080/15226514.2019.1652566
» http://doi.org/10.1080/15226514.2019.1652566 -
Fazio, F., Piccione, G., Tribulato, K., Ferrantelli, V., Giangrosso, G., Arfuso, F., & Faggio, C., 2014. Bioaccumulation of heavy metals in blood and tissue of striped mullet in two Italian lakes. J. Aquat. Anim. Health 26(4), 278-284. PMid:25369146. http://doi.org/10.1080/08997659.2014.938872
» http://doi.org/10.1080/08997659.2014.938872 -
Garba, S.T., Osemeahon, A.S., Maina, H.M., & Barminas, J.T., 2012. Ethylenediaminetetraacetate (EDTA)-Assisted phytoremediation of heavy metal contaminated soil by Eleusine indica L. Gearth. J. Environ. Chem. Ecotoxicol. 4(5), 103-109. http://doi.org/10.5897/JECE11.078
» http://doi.org/10.5897/JECE11.078 -
Goldin, A., 1987. Reassessing the use of loss‐on‐ignition for estimating organic matter content in noncalcareous soils. Commun. Soil Sci. Plant Anal. 18(10), 1111-1116. http://doi.org/10.1080/00103628709367886
» http://doi.org/10.1080/00103628709367886 -
Gómez-Bernal, J.M., Ruiz, H.E.A., Armienta, H.M.A., & Luna, P.V.M., 2017. Evaluation of the removal of heavy metals in a natural wetland impacted by mining activities in Mexico. Environ. Earth Sci. 76(23), 801. http://doi.org/10.1007/s12665-017-7144-1
» http://doi.org/10.1007/s12665-017-7144-1 -
Griboff, J., Wunderlin, D.A., & Monferran, M.V., 2017. Metals, As and Se determination by inductively coupled plasma-mass spectrometry (ICP-MS) in edible fish collected from three eutrophic reservoirs. Their consumption represents a risk for human health? Microchem. J. 130, 236-244. http://doi.org/10.1016/j.microc.2016.09.013
» http://doi.org/10.1016/j.microc.2016.09.013 -
Guo, G., Wu, F., Xie, F., & Zhang, R., 2012. Spatial distribution and pollution assessment of heavy metals in urban soils from southwest China. J. Environ. Sci. (China) 24(3), 410-418. PMid:22655353. http://doi.org/10.1016/S1001-0742(11)60762-6
» http://doi.org/10.1016/S1001-0742(11)60762-6 -
Gupta, A.K., & Sinha, S., 2007. Phytoextraction capacity of the plants growing on tannery sludge dumping sites. Bioresour. Technol. 98(9), 1788-1794. PMid:16973356. http://doi.org/10.1016/j.biortech.2006.06.028
» http://doi.org/10.1016/j.biortech.2006.06.028 -
Hassan, S., Schmieder, K., & Böcker, R., 2010. Spatial patterns of submerged macrophytes and heavy metals in the hypertrophic, contaminated, shallow reservoir Lake Qattieneh/Syria. Limnologica 40(1), 54-60. http://doi.org/10.1016/j.limno.2009.01.002
» http://doi.org/10.1016/j.limno.2009.01.002 -
Henry-Silva, G.G., & Camargo, A.F.M., 2006. Efficiency of aquatic macrophytes to treat Nile tilapia pond effluents. Sci. Agric. 63(5), 433-438. http://doi.org/10.1590/S0103-90162006000500003
» http://doi.org/10.1590/S0103-90162006000500003 -
Henry-Silva, G.G., Moura, R.S.T., & Dantas, L.L.O., 2010. Richness and distribution of aquatic macrophytes in Brazilian semi-arid aquatic ecosystems. Acta Limnol. Bras. 22(2), 147-156. http://doi.org/10.1590/S2179-975X2010000200004
» http://doi.org/10.1590/S2179-975X2010000200004 - Henry-Silva, G., & Camargo, A.F.M., (2022). A Bacia do Rio Apodi-Mossoró: aspectos ambientais, sociais e econômicos de uma bacia hidrográfica no semiárido do Rio Grande do Norte. Mossoró: EDUFERSA, 410 p.
-
Hesami, R., Salimi, A., & Ghaderian, S.M., 2018. Lead, zinc, and cadmium uptake, accumulation, and phytoremediation by plants growing around Tang-e Douzan lead–zinc mine, Iran. Environ. Sci. Pollut. Res. Int. 25(9), 8701-8714. PMid:29322395. http://doi.org/10.1007/s11356-017-1156-y
» http://doi.org/10.1007/s11356-017-1156-y -
Hossain, M.S., Ahmed, K., Sarker, S., & Rahman, S., 2020. Seasonal variations of trace metals from water and sediment samples in the northern Bay of Bengal. Ecotoxicol. Environ. Saf. 193, 110347. PMid:32114239. http://doi.org/10.1016/j.ecoenv.2020.110347
» http://doi.org/10.1016/j.ecoenv.2020.110347 -
Huang, J., Ge, X., & Wang, D., 2012. Distribution of heavy metals in the water column, suspended particulate matters and the sediment under hydrodynamic conditions using an annular flume. J. Environ. Sci. (China) 24(12), 2051-2059. PMid:23534200. http://doi.org/10.1016/S1001-0742(11)61042-5
» http://doi.org/10.1016/S1001-0742(11)61042-5 -
Instituto Brasileiro de Geografia E Estatistica – IBGE, 2010. Censo de 2010. Retrieved in 2021, Mar 12, from https://www.ibge.gov.br/cidades-e-estados
» https://www.ibge.gov.br/cidades-e-estados -
Instituto de Gestão das Águas do Rio Grande do Norte – IGARN, 2018. Bacia Apodi/Mossoró. Retrieved in 2018, Sep 17, from http://adcon.rn.gov.br/ACERVO/IGARN/doc/DOC000000000028892.PDF
» http://adcon.rn.gov.br/ACERVO/IGARN/doc/DOC000000000028892.PDF -
International Plant Nutrition Institute – IPNI, 2016. Nutri-Fatos: Informação agronômica sobre nutrients para as plantas, níquel. Retrieved in 2019, Apr 4, from https://www.npct.com.br/publication/nutrifacts-brasil.nsf/book/NUTRIFACTS-BRASIL-16/$FILE/NutriFacts-BRASIL-16.pdf
» https://www.npct.com.br/publication/nutrifacts-brasil.nsf/book/NUTRIFACTS-BRASIL-16/$FILE/NutriFacts-BRASIL-16.pdf - Justo, A., Santos, W.L.A., & Souza, F.C.S., 2016. A bacia do Rio Apodi Mossoró (RN) como objeto de pesquisa em programas de pós-graduação. Rev. Principia 31, 97-105.
-
Jutsz, A.M., & Gnida, A., 2015. Mechanisms of stress avoidance and tolerance by plants used in phytoremediation of heavy metals. Arch. Environ. Prot. 41(104), 114. http://doi.org/10.1515/aep-2015-0045
» http://doi.org/10.1515/aep-2015-0045 -
Kamari, A., Yusof, N., Abdullah, H., Haraguchi, A., & Abas, M.F., 2017. Assessment of heavy metals in water, sediment, Anabas testudineus and Eichhornia crassipes in a former mining pond in Perak, Malaysia. Chem. Ecol. 33(7), 637-651. http://doi.org/10.1080/02757540.2017.1351553
» http://doi.org/10.1080/02757540.2017.1351553 -
Kottek, M., Grieser, J., Beck, C., Rudolf, B., & Rubel, F., 2006. World Map of Köppen-Geiger climate classification updated. Meteorol. Z. (Berl.) 15(3), 259-263. http://doi.org/10.1127/0941-2948/2006/0130
» http://doi.org/10.1127/0941-2948/2006/0130 -
Krishnamurti, G.S., Subashchandrabose, S.R., Megharaj, M., & Naidu, R., 2015. Assessment of bioavailability of heavy metal pollutants using soil isolates of Chlorella sp. Environ. Sci. Pollut. Res. Int. 22(12), 8826-8832. PMid:23702570. http://doi.org/10.1007/s11356-013-1799-2
» http://doi.org/10.1007/s11356-013-1799-2 -
Kumar, V., Chopra, A.K., Srivastava, S., Singh, J., & Thakur, R.K., 2017. Irrigating okra with secondary treated municipal wastewater: observations regarding plant growth and soil characteristics. Int. J. Phytoremediation 19(5), 490-499. PMid:27739866. http://doi.org/10.1080/15226514.2016.1244169
» http://doi.org/10.1080/15226514.2016.1244169 -
Li, X., Shen, H., Zhao, Y., Cao, W., Hu, C., & Sun, C., 2019. Distribution and potential ecological risk of heavy metals in water, sediments, and aquatic macrophytes: a case study of the junction of four rivers in Linyi city, China. Int. J. Environ. Res. Public Health 16(16), 2861. PMid:31405094. http://doi.org/10.3390/ijerph16162861
» http://doi.org/10.3390/ijerph16162861 -
Lin, Z., Li, J., Luan, Y., & Dai, W., 2020. Application of algae for heavy metal adsorption: A 20-year meta-analysis. Ecotoxicol. Environ. Saf. 190, 110089. PMid:31896472. http://doi.org/10.1016/j.ecoenv.2019.110089
» http://doi.org/10.1016/j.ecoenv.2019.110089 - Lira de Carvalho, H.R., & Henry-Silva, G.G., 2022. Análise altimétrica e morfométrica da bacia hidrográfica do rio Apodi-Mossoró. In: Henry-Silva, G.G., Camargo, A.F.M., orgs. A Bacia do Rio Apodi-Mossoró: aspectos ambientais, sociais e econômicos de uma bacia hidrográfica do semiárido do Rio Grande do Norte. Mossoró: EDUFERSA, pp. 83-91.
- Loureiro, R.C., & Hepp, L.U., (2020). Stream contamination by trace elements: biota incorporation and phytoremediation. Acta Limnol. Bras. 32, e201. https://doi.org/10.1590/S2179-975X2219.
- Malik, R.N., Husain, S.Z., & Nazir, I., 2010. Heavy metal contamination and accumulation in soil and wild plant species from industrial area of Islamabad, Pakistan. Pak. J. Bot. 42(1), 291-301.
- Martins, T.F.G., Ferreira, K.S., Rani-Borges, B., Biamont-Rojas, I.E., Cardoso-Silva, S., Moschini-Carlos, V., & Pompêo, M.L.M., 2021. Land use, spatial heterogeneity of organic matter, granulometric fractions and metal complexation in reservoir sediments. Acta Limnol. Bras. 33, e23. https://doi.org/10.1590/S2179-975X3521.
- Medeiros, E.L., Oliveira, C.T.A., & Henry-Silva, G.G., 2023. Assessment of environmental, social and economic sustainability of a hydrographic basin in the Brazilian semiarid region. Desenvolv. Meio Ambient. 61, 1-17. http://doi.org/10.5380/dma.v61i0.78914.
-
Miranda, J., & Krishnakumar, G., 2015. Microalgal diversity in relation to the physicochemical parameters of some Industrial sites in Mangalore, South India. Environ. Monit. Assess. 187(11), 664. PMid:26433901. http://doi.org/10.1007/s10661-015-4871-1
» http://doi.org/10.1007/s10661-015-4871-1 -
Mishra, S., & Maiti, A., 2017. The efficiency of Eichhornia crassipes in the removal of organic and inorganic pollutants from wastewater: a review. Environ. Sci. Pollut. Res. Int. 24(9), 7921-7937. PMid:28092006. http://doi.org/10.1007/s11356-016-8357-7
» http://doi.org/10.1007/s11356-016-8357-7 -
Mishra, V.K., & Tripathi, B.D., 2008. Concurrent removal and accumulation of heavy metals by the three aquatic macrophytes. Bioresour. Technol. 99(15), 7091-7097. PMid:18296043. http://doi.org/10.1016/j.biortech.2008.01.002
» http://doi.org/10.1016/j.biortech.2008.01.002 -
Mohiuddin, K.M., Ogawa, Y.Z.H.M., Zakir, H.M., Otomo, K., & Shikazono, N., 2011. Heavy metals contamination in water and sediments of an urban river in a developing country. Int. J. Environ. Sci. Technol. 8(4), 723-736. http://doi.org/10.1007/BF03326257
» http://doi.org/10.1007/BF03326257 -
National Institute of Standards and Technology – NIST, 2016. Standard Reference Material 928. Retrieved in 2019, Apr 4, from https://tsapps.nist.gov/srmext/certificates/928.pdf
» https://tsapps.nist.gov/srmext/certificates/928.pdf -
Napaldet, J.T., & Buot Junior, I.E.J., 2020. Absorption of lead and mercury in dominant aquatic macrophytes of balili river and its implication to phytoremediation of water bodies. Trop. Life Sci. Res. 31(2), 19-32. PMid:32922667. http://doi.org/10.21315/tlsr2020.31.2.2
» http://doi.org/10.21315/tlsr2020.31.2.2 -
Núñez, S.R., Negrete, J.M., Rios, J.A., Hadad, H.R., & Maine, M.A., 2011. Hg, Cu, Pb, Cd, and Zn accumulation in macrophytes growing in tropical wetlands. Water Air Soil Pollut. 216(1-4), 361-373. http://doi.org/10.1007/s11270-010-0538-2
» http://doi.org/10.1007/s11270-010-0538-2 -
Paula Filho, F.J., Marins, R.V., Santos, D.V., Pereira Junio, R.F., Menezes, J.M.C., da Gastão, F.G.C., Guzzi, A., & Teixeira, R.N.P., 2021. Assessment of heavy metals in sediments of the Parnaíba River Delta in the semi-arid coast of Brazil. Environ. Earth Sci. 80(167), 167. http://doi.org/10.1007/s12665-021-09456-2
» http://doi.org/10.1007/s12665-021-09456-2 -
R Core Team, 2018. R: A language and environment for statistical computing [online]. Vienna: R Foundation for Statistical Computing. Retrieved in 2018, September 17, from https://www.R-project.org/
» https://www.R-project.org/ - Said, I., Jalaludin, M.N., Upe, A., & Wahab, A.W., 2009. Determination of heavy metal Cr and Pb concentrations in estuary sediment of Matangpondo River Palu. J. Chem. 10(2), 40-47.
-
Saleem, M., Iqbal, J., & Shah, M.H., 2015. Geochemical speciation, anthropogenic contamination, risk assessment and source identification of selected metals in freshwater sediments: a case study from Mangla Lake, Pakistan. Environ. Nanotechnol. Monit. Manag. 4, 27-36. http://doi.org/10.1016/j.enmm.2015.02.002
» http://doi.org/10.1016/j.enmm.2015.02.002 -
Secretaria Estadual de Meio Ambiente e Recursos Hídricos do Estado do Rio Grande do Norte – SEMARH, 2017. Bacias hidrográficas do Rio Grande do Norte. Plano Estadual de Recursos Hídricos [online]. Retrieved in 2018, September 17, from http://adcon.rn.gov.br/ACERVO/IGARN/doc/DOC000000000028892.PDF
» http://adcon.rn.gov.br/ACERVO/IGARN/doc/DOC000000000028892.PDF -
Shakouri, A., & Gheytasi, H., 2018. Bioaccumulation of heavy metals in oyster (Saccostrea cucullata) from Chabahar bay coast in Oman Sea: Regional, seasonal and size-dependent variations. Mar. Pollut. Bull. 126, 323-329. PMid:29421106. http://doi.org/10.1016/j.marpolbul.2017.11.012
» http://doi.org/10.1016/j.marpolbul.2017.11.012 - Sijakova-Ivanova, T., Boev, B., Zajkova-Paneva, V., Boev, I., & Karakaseva, E., 2017. Bioaccumulation and translocation factor of heavy metals in the plants Linaria sp., Moricandia sp. and Viola lutea Huds from the Alšar locality–Republic of Macedonia. Geol. Macedonica 31(2), 143-156.
-
Singh, K.P., Malik, A., Sinha, S., Singh, V.K., & Murthy, R.C., 2005. Estimation of source of heavy metal contamination in sediments of Gomti River (India) using principal component analysis. Water Air Soil Pollut. 166(1-4), 321-341. http://doi.org/10.1007/s11270-005-5268-5
» http://doi.org/10.1007/s11270-005-5268-5 - Siqueira, R.M.B., Moura, R.S.T., & Henry-Silva, G.G., 2022. Caracterização limnológica da bacia hidrográfica do rio Apodi-Mossoró. In: Henry-Silva, G.G., & Camargo, A.F.M., orgs. A Bacia do Rio Apodi-Mossoró: aspectos ambientais, sociais e econômicos de uma bacia hidrográfica do semiárido do Rio Grande do Norte. Mossoró: EDUFERSA, pp. 93-104.
-
Sun, X., Fan, D., Liu, M., Tian, Y., Pang, Y., & Liao, H., 2018. Source identification, geochemical normalization and influence factors of heavy metals in Yangtze River Estuary sediment. Environ. Pollut. 241, 938-949. PMid:29929160. http://doi.org/10.1016/j.envpol.2018.05.050
» http://doi.org/10.1016/j.envpol.2018.05.050 -
Torregroza-Espinosa, A.C., Martínez-Mera, E., Castañeda-Valbuena, D., González-Márquez, L.C., & Torres-Bejarano, F., 2018. Contamination level and spatial distribution of heavy metals in water and sediments of El Guajaro reservoir, Colombia. Bull. Environ. Contam. Toxicol. 101(1), 61-67. PMid:29797013. http://doi.org/10.1007/s00128-018-2365-x
» http://doi.org/10.1007/s00128-018-2365-x -
Ugya, A.Y., 2015. The efficiency of Lemna minor L. in the phytoremediation of Romi stream: A case study of Kaduna refinery and petrochemical company polluted stream. J. Appl. Biol. Biotechnol. 3, 11-14. http://doi.org/10.7324/JABB.2015.3102
» http://doi.org/10.7324/JABB.2015.3102 -
Vanhoudt, N., Van Ginneken, P., Nauts, R., & Van Hees, M., 2018. Potential of four aquatic plant species to remove 60 Co from contaminated water under changing experimental conditions. Environ. Sci. Pollut. Res. Int. 25(27), 27187-27195. PMid:30027375. http://doi.org/10.1007/s11356-018-2759-7
» http://doi.org/10.1007/s11356-018-2759-7 -
Vymazal, J., 2011. Constructed wetlands for wastewater treatment: five decades of experience. Environ. Sci. Technol. 45(1), 61-69. http://doi.org/10.1021/es101403q
» http://doi.org/10.1021/es101403q -
Wan, L., Xu, L., & Fu, Y., 2016. Contamination and risk assessment of heavy metals in lake bed sediment of a large lake scenic area in China. Int. J. Environ. Res. Public Health 13(5), 741. PMid:27455296. http://doi.org/10.3390/ijerph13070741
» http://doi.org/10.3390/ijerph13070741 -
Xia, F., Qu, L., Wang, T., Luo, L., Chen, H., Dahlgren, R.A., Zhang, M., Mei, K., & Huang, H., 2018. Distribution and source analysis of heavy metal pollutants in sediments of a rapid developing urban river system. Chemosphere 207, 218-228. PMid:29800822. http://doi.org/10.1016/j.chemosphere.2018.05.090
» http://doi.org/10.1016/j.chemosphere.2018.05.090 -
Xu, Y., Wu, Y., Han, J., & Li, P., 2017. The current status of heavy metal in lake sediments from China: pollution and ecological risk assessment. Ecol. Evol. 7(14), 5454-5466. PMid:28770081. http://doi.org/10.1002/ece3.3124
» http://doi.org/10.1002/ece3.3124 -
Yang, Y.A.N.G., Zhengchao, Z.H.O.U., Yanying, B.A.I., Yimin, C.A.I., & Weiping, C.H.E.N., 2016. Risk assessment of heavy metal pollution in sediments of the Fenghe River by the fuzzy synthetic evaluation model and multivariate statistical methods. Pedosphere 26(3), 326-334. http://doi.org/10.1016/S1002-0160(15)60046-7
» http://doi.org/10.1016/S1002-0160(15)60046-7 -
Yoon, J., Cao, X., Zhou, Q., & Ma, L.Q., 2006. Accumulation of Pb, Cu, and Zn in native plants growing on a contaminated Florida site. Sci. Total Environ. 368(2-3), 456-464. PMid:16600337. http://doi.org/10.1016/j.scitotenv.2006.01.016
» http://doi.org/10.1016/j.scitotenv.2006.01.016 -
Yu, H., Ni, S.J., He, Z.W., Zhang, C.J., Nan, X., Kong, B., & Weng, Z.Y., 2014. Analysis of the spatial relationship between heavy metals in soil and human activities based on landscape geochemical interpretation. J. Geochem. Explor. 146, 136-148. http://doi.org/10.1016/j.gexplo.2014.08.010
» http://doi.org/10.1016/j.gexplo.2014.08.010 -
Zayed, A.M., & Terry, N., 2003. Chromium in the environment: factors affecting biological remediation. Plant Soil 249(1), 139-156. http://doi.org/10.1023/A:1022504826342
» http://doi.org/10.1023/A:1022504826342 -
Zhang, S., Bai, J., Wang, W., Huang, L., Zhang, G., & Wang, D., 2018. Heavy metal contents and transfer capacities of Phragmites australis and Suaeda salsa in the Yellow River Delta, China. Phys. Chem. Earth Parts ABC 104, 3-8. http://doi.org/10.1016/j.pce.2018.02.011
» http://doi.org/10.1016/j.pce.2018.02.011 -
Zhao, L., Gong, D., Zhao, W., Lin, L., Yang, W., Guo, W., Tang, X., & Li, Q., 2020. Spatial-temporal distribution characteristics and health risk assessment of heavy metals in surface water of the Three Gorges Reservoir, China. Sci. Total Environ. 704, 134883. PMid:31780178. http://doi.org/10.1016/j.scitotenv.2019.134883
» http://doi.org/10.1016/j.scitotenv.2019.134883 -
Zhou, F., Guo, H., & Liu, L., 2007. Quantitative identification and source apportionment of anthropogenic heavy metals in marine sediment of Hong Kong. Environ. Geol. (Berl.) 53(2), 295-305. http://doi.org/10.1007/s00254-007-0644-7
» http://doi.org/10.1007/s00254-007-0644-7
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Publication in this collection
31 May 2024 -
Date of issue
2024
History
-
Received
04 July 2023 -
Accepted
18 Apr 2024