Abstract
Lubumbashi (DR Congo)—the capital of copper mining—has been considered as one of the richest mining regions of the world for more than a decade. These riches have brought along multiple mining companies responsible for soil, river water and vegetable pollution, as in many African cities. The aim of the present study was to quantify and evaluate the pollution levels and the potential sources of soil, irrigation water and vegetable contamination by the metals As, Cd, Cr, Cu, Pb, Co and Zn in the urban gardens of Lubumbashi (DR Congo). The contamination, pollution and enrichment levels of the gardens were determined based on different indices in order to rank the soils. The results show that soils, waters and vegetables present contamination levels that represent a serious concern for human health. All soils presented contamination indices ranging from low (72% of the soils) to very high (3.4% of the soils) metal (copper, lead, zinc) contamination. The Cu and Cd contents varied between 1355 mg/kg et 236 mg/kg, much higher than the World Health Organisation (WHO) thresholds (100 mg/kg for Cu and 2 mg/kg for Cd). Moreover, the water used for crop and garden irrigation presented high Pb (57% of the waters), Fe (52%), Cu (19%) and Cd (10%) contamination levels, above the Association Française de Normalisation (AFNOR) U4441 toxicity thresholds (2 mg/kg for Cu; 0.1 mg/kg for Fe and 0.01 mg/kg for Pb) for crop irrigation. Finally, the vegetables produced in these gardens and sold in the local markets had very high metal content (47% contained Cu; 100% contained copper and cobalt) above the WHO standard (10 mg/kg for Cu, 2 mg/kg for Cd and 1 mg/kg for Co) for human consumption. In the face of these issues, it would be preferable to consider cheaper, more sustainable techniques that reduce soil-to-plant metal transfer.
1. Introduction
Lubumbashi, the “capital of copper “located in the southeast of the Democratic Republic of the Congo, has been considered as one of the richest mining regions of the world for more than a decade. In recent years, the Haut-Katanga province and more particularly the city of Lubumbashi have witnessed the expansion of the mining industry and the subsequent construction of numerous ore extraction plants. Today, numerous studies show a link between human activities (e.g., mining activities, landfills) and environmental contamination, especially soil, water and plant contamination [1,2,3,4]. In Lubumbashi, these companies are the source of the contamination of agricultural and household soils, market garden products and river waters [5,6]. The extraction processes of these mining activities—especially metalworking and pyrometallurgy—have contributed to soil and water contamination from atmospheric emissions and mining effluents, in contrast to the sites located a distance aways from the pollution cone [7,8,9]. These phenomena are the source of diverse health and environmental issues [7,8,10]. In Pakistan, for example, similar situations to those noted in Lubumbashi have been observed [11,12]. The authors showed that the application of mining effluents as organic amendments was the main cause of soil contamination in market gardens. Furthermore, the studies by [12,13,14] showed that the vegetables produced in the market gardens and sold in Lubumbashi markets presented high levels of trace metal elements (TMEs) above the WHO toxicity threshold. Southeast of Casablanca (Morocco), crop irrigation with industrial effluents containing high loads of heavy metals was found to contaminate five vegetable crops with As, Cd, Cr and Cu [15,16,17]. Similar situations have been observed in Lubumbashi, where market gardeners use water with high loads of metals to water their crops. This represents a notable hazard for vegetable consumption and human health, as very high metal contents have been detected in water and vegetables alike [9,18,19]. Another issue under strong criticism in the city of de Lubumbashi is the growing number of poorly managed \landfills, which are potential sources of soil and urban market garden contamination. Very high heavy metal concentrations have been found in the soils of former landfills [20,21,22].
Similar situations to Lubumbashi have been observed in the agricultural region of Sri Lanka where heavy metal-rich effluents (Cd, Fe, Pb) discharged into watercourses have caused chronic renal disease in around 5000 people aged 5 to 50. This disease was due to the consumption of rice irrigated with water containing a strong load of cadmium. Heavy metal contamination levels ten times as high as the toxicity threshold were found in the inhabitants’ urine [23,24,25,26]. In the same vein, the studies by [25,27] carried out in Lubumbashi showed that contamination of pregnant women by uranium and manganese led to the birth of three babies presenting malformations known as holoprosencephaly. Very high levels of uranium and manganese were found in their mothers’ urine and blood. Therefore, the people currently living in and nearby Lubumbashi are going through a health crisis.
In Lubumbashi, [28] showed that vegetables mainly come from 23 market gardens and are sold in four main markets. This study stands out from other research in that the authors succeeded in analysing the different components (soils, water, plants) of market gardens separately. However, a study encompassing all three environmental components within the global setting of Lubumbashi urban market gardens has never been undertaken.
In this context, the aim of the present study was to quantify and evaluate the pollution levels and the potential sources of soil, irrigation water and vegetable contamination by the metals As, Cd, Cr, Cu, Pb, Co and Zn in the urban gardens of Lubumbashi (DR Congo). The first step consisted of identifying market gardens and markets. Then, the concentrations in MTEs—Al, As, Cd, Co, Cu, Fe, Pb and Zn—in the vegetables were analysed to determine the safety of urban market products in Lubumbashi.
2. Materials and Methods
2.1. Identification of the Market Gardens and Urban Markets of Lubumbashi
Based on FAO mapping carried out in 2008 [28] and on a separate survey led within the framework of this study, 40 market gardens and 33 Lubumbashi markets meeting our selection criteria were identified (Appendix A.1).
The survey carried out within the framework of the present study led to the identification of 17 new market gardens and 29 new markets in addition to those listed by the FAO [8,16]. Among the market gardens, 29 were selected following the criteria of the present study, as detailed below. These market gardens are the main local vegetable suppliers of the city of Lubumbashi (Appendix A.2).
The criteria for including market gardens in our list were that they should be farmed by at least five market gardeners and that at least three of the most commonly cultivated vegetables in Lubumbashi be grown, among Brassica chinensis, Amaranthus vulgaris, Brassica oleracea var. capitata, Lycopersicum esculentum Mill, Allium porrum, Lactuca sativa, Allium cepa., Brassica carinata, Abelmoschus esculentus, Daucus carota, Beta vulgaris, Petroselinum crispum, Solanum melongena L., Apium graveolens var. dulce, Beta vulgaris subsp. vulgaris, Brassica oleracea var. botrytis, Solanum tuberosum, Raphanus sativus, Hibiscus sabdariffa L., and Cucumis sativus L. Moreover, the markets had to be (i) located in Lubumbashi, (ii) run by at least five vegetables sellers, and (iii) selling local vegetables within the market gardens of Lubumbashi [15].
For further analysis of the market gardens on the list, the geographic coordinates were recorded using a global positioning system (GPS; Garmin Montana 680t) and treated with the mapping software program ArcGIS 10.5 registered in the geographic coordinate system (GCS-WGS 84). The same procedures were applied to map the Lubumbashi markets where these vegetables are sold.
2.2. Sampling Methods
2.2.1. Soils
Soil samples were collected from five different points of each urban and peri-urban market garden, at 0–20 cm depth, and each batch of five samples was pooled to form a composite sample kept and analysed in the laboratory. Each composite sample was open-air-dried for 25 days, and then ground in a porcelain mortar and sieved to 2 mm.
2.2.2. Water Samples
Only 21 out of the 40 identified market gardens had an easily accessible water collection point for determining the safety of the waters used to irrigate the crops. Five 100-mL water samples were collected and pooled to form a composite sample. The samples were collected between March and May 2019, a favourable period for market gardening in Lubumbashi. They were kept in a refrigerator at 4 °C for seven days and then sent to the laboratory of the Office de Contrôle du Congo (OCC/DR Congo).
2.2.3. Vegetables
The study was focused on four vegetables—Brassica chinensis, Brassica carinata, Amaranthus vulgaris and Spinacia oleacera—for the following reasons:
The vegetables had to be identified among the 20 species grown in the city of Lubumbashi within the framework of the different projects run in its market gardening sector (HUP, 2000).
They had to be grown intensively in Lubumbashi [11].
Previous studies had to show that they presented a risk of MTE contamination [11,29].
To collect the vegetable samples, we first questioned the sellers to determine where the vegetables had been produced, and only those from Lubumbashi market gardens were purchased. Then, composite samples were formed, the vegetables were washed under city tap water to remove dust particles, and oven-dried at 105 °C for 24 h. The dried samples were ground in a porcelain mortar, and 100 g of powder were kept for analysis.
Metal quantification in the soils, waters and vegetables was conducted.
The chemical analyses aimed at determining the total heavy metal (Al, As, Cd, Co, Cu, Fe, Pb and Zn) concentrations in the soils of Lubumbashi market gardens were carried out using a portable X-ray fluorescence spectrophotometer (XRF, Olympus Delta Classic Plus, model DCC-4000) calibrated with stainless steel alloy 316 [18]. The soil exchangeable Cu, Co and Pb concentrations were determined by CaCl2 0.01 M extraction, and the heavy metal concentrations were determined by ICP OES atomic absorption spectrometry (AAS, VARIAN 220, Agilent Technologies, Santa Clara, CA, USA) [30].
The heavy metal (Al, As, Cd, Co, Cu, Fe, Pb and Zn) contents of the water samples were determined by inductively coupled plasma mass spectrometry (ICP-MS) [20,31]. The heavy metal (Cu, Co, Cd and Pb) contents of the vegetables were determined by acid mineralisation with HNO3+HClO3, and measurements were made by flame atomic absorption spectroscopy (AAS, VARIAN 220, Agilent Technologies, Santa Clara, CA, USA) [32].
2.3. Indices of Agricultural Soil Contamination and Pollution
2.3.1. Contamination Factor
The contamination factor can be calculated as the ratio of the measured concentration of a given metal in the soil to the background value of that metal expressed as a percentage (Al, As, Cd, Co, Cu, Fe, Pb and Zn) [33,34] (Appendix A.3):
Consequently, CFi designates the contamination factor of metal I, and four classes can be established: CF < 1 = low contamination, 1 ≤ CF < 3 = moderate contamination, 3 ≤ CF < 6 = high contamination, and CF ≥ 6 = very high contamination. The soil geochemical background values used in the present study are those of the soils of the city of Lubumbashi [35].
2.3.2. Soil Pollution Load Index
The pollution load index (PLI) is used to determine the level of the pollution load of all MTEs (Al, As, Cd, Co, Cu, Fe, Pb and Zn) on the sampled sites. It is the geometric mean of the contamination factors, according to the following formula [36]:
where n is the number of MTEs in the present study. A PLI ≤ 1 highlights MTE pollution loads close to the background geological concentration, a PLI = 1 highlights a low pollution level, while a PLI > 1 highlights significant soil pollution (Appendix A.5).
2.3.3. Enrichment Factor
The enrichment factor is the ratio of the concentration of a given metal (Cx) to the concentration of the reference element (CFe) in a given sample divided by the ratio of the elemental concentration of a given element to the concentration of the reference element in the Earth’s crust [37]. However, for this study, the EF was evaluated to determine the level of contamination and the influence of anthropogenic activities in the urban vegetable garden soils of Lubumbashi. Thus, the geochemical normalization of the data for heavy metals has a conservative Al (Sinex and Wendy), Al [38,39], Fe [40,41,42]. To determine the enrichment factor of vegetable soils, Fe was used as a conservative tracer to distinguish natural from anthropogenic components:
Thus, seven classes were distinguished depending on the enrichment factor, namely EF < 1, 1 ≤ EF < 3, 3 ≤ EF < 5, 5 ≤ EF < 10, 10 ≤ EF < 25, 25 ≤ EF < 50 and EF > 50, meaning that MTE enrichment can be null, low, moderate, moderately high, high, very high and exceptionally high, respectively [43] (Appendix A.4).
2.4. Habit Description
The market gardens of Lubumbashi are diverse in their particular characteristics. However, we have classified them according to their likely sources of heavy metal contamination. Thus, the market gardens with a water supply source were put into one group (Table 1).
Table 1.
Description of the ecosystem at study locations near pollution sources.
2.5. Data Analyses
The data were analysed using Minitab 21.3.1.0 statistical software. The one-level analysis of variance was used to determine the significance levels of the different sources of soil contamination in the market gardens as well as the vegetables sold in the urban markets of Lubumbashi. The Tukey test at the 5% level was used to compare two means.
3. Results
3.1. Identification of the Market Gardens and Urban Markets of Lubumbashi
A total of 40 market gardens and 33 markets initially met our criteria. The survey carried out within the framework of the present study allowed us to identify 17 new market gardens and 29 new markets in addition to those selected by the FAO [28,44].
The 29 markets with at least five local vegetable sellers selected within the framework of the present study were used to evaluate the safety of the vegetables sold and consumed by Lubumbashi people (Figure 1).
Figure 1.
Map of the market gardens and urban markets of Lubumbashi (Mununga, K.F, 2022).
3.2. Characterisation of MTE-like Pollutants in Market Garden Soils, Waters and Vegetables
The one-way analyses of variance revealed that there was no significant difference between the different potential sources of contamination (p > 0.05) and the levels of heavy metals in the soils.
Laboratory analyses showed that around 80%, 21%, 17% and 7% of the soils from the 29 selected market gardens were contaminated with copper, zinc, cadmium and lead, respectively. The cobalt concentration was not measured due to a technical problem (Table 2).
Table 2.
XRF determination of metals in 29 urban and peri-urban market gardens of Lubumbashi (mg/kg).
3.2.1. Contamination Factors, Enrichment Factors and Pollution Indices of the Soils
Based on the calculated soil contamination factors of Lubumbashi market gardens, we determined four MTE contamination classes, namely low contamination with iron, copper, lead and zinc (96.55%, 72.41%, 93.10% and 62.07% of the soils, respectively); moderate contamination with copper, lead and zinc (27.59%, 6.9% and 27.59% of the soils, respectively); high contamination with iron and zinc (3.45% and 6.9% of the soils, respectively); and very high contamination with zinc (3.45% of the soils).
The enrichment factor revealed five enrichment classes, i.e., no enrichment (41.38%, 79.31% and 34.48% of the soils for copper, lead and zinc, respectively); low enrichment (48.28%, 13.79% and 37.93% of the soils for the same metals); moderate enrichment (3.45%, 3.45% and 13.79% of the soils); medium-high enrichment (6.9%, 3.45% and 10.34% of the soils); and high enrichment (3.45% of the soils, for zinc only).
Finally, the soil pollution index was calculated to determine the pollution levels of the soils of the market crops of the city of Lubumbashi. Two classes were established, namely unpolluted gardens (79.31%) and severely polluted gardens (20.69%), whatever the MTE. We considered soil contamination as any increase of components inducing a detectable negative effect on soil functioning (Table 3; Figure 2, Figure 3 and Figure 4), while we considered soil pollution as an increase of components within a given environment that gradually becomes severe and deleterious and perturbs the functioning of soils up to their degradation [45].
Table 3.
Contamination, enrichment and pollution levels of the soils of 29 urban market gardens of Lubumbashi.
Figure 2.
Distribution of the market gardens of Lubumbashi according to the contamination factors.
Figure 3.
Distribution of the market gardens of Lubumbashi according to the enrichment factors.
Figure 4.
Distribution of the market gardens of Lubumbashi according to their pollution load index.
The maps show that among all the market gardens of Lubumbashi, those located along the northeast axis of the city present a medium-high contamination level, higher than those located along the southeast axis. MTE concentrations tend to decrease at a distance from the epicentres. Nevertheless, the presence of several mining facilities is linked to pollution hotspots. No clear trend was identified to describe the distribution of the other metals. However, these spatial representations highlight that nearly all the soils of Lubumbashi market gardens present some degree of MTE pollution, enrichment and contamination (Figure 5, Figure 6, Figure 7 and Figure 8).
Figure 5.
Spatial distribution of metals (Cu) in the market garden soils according to their contamination factor (A) and enrichment factor (B).
Figure 6.
Spatial distribution of metals (Pb) in the market garden soils according to their contamination factor (A) and enrichment factor (B).
Figure 7.
Spatial distribution of metals (Zn) in the market garden soils according to their contamination factor (A) and enrichment factor (B).
Figure 8.
Spatial distribution of metals in the market garden soils according to their Soil pollution index.
3.2.2. Quality of Crop Irrigation Water in the 21 Selected Market Gardens
The laboratory results showed that nearly 57%, 52%, 19%, 10% and 5% of the water sources of the gardens were contaminated by lead, iron, copper, cadmium/cobalt and zinc, respectively. As for arsenic, no pollution effect was noted in any of the market gardens in and near Lubumbashi (Table 4).
Table 4.
Trace metal elements (mg/L) in the irrigation waters of the market garden crops of Lubumbashi gardens. Legend: Cd, cadmium; Cu, copper; Pb, lead; Co, cobalt; Al, aluminum; As, arsenic; Fe, iron; Zn, zinc; bold figures, contents above the standard.
The analyses showed that river waters were generally more or less contaminated than well waters: 33.3%, 23.8%, 9.5% and 4.7% of the river waters were contaminated with iron, lead, copper and cadmium, respectively, while 33.3%, 28.57% and 9.5% of the well waters were contaminated with lead, iron and copper, respectively, and 14.2%, 9.5% and 4.7% of rainwaters were contaminated with lead, iron and cadmium, respectively.
The results and their mapping showed that similar to soils, most of the contaminated waters of Lubumbashi market gardens were found along the northeast (Ruashi–Kafubu) axis of the city. Moreover, these gardens are located near a pollution cone and close to effluents discharged into the rivers (Figure 9, Figure 10, Figure 11 and Figure 12). The waters of the other market gardens located along the Lubumbashi–Kasumbalesa and Lubumbashi–Kimbeimbe axes showed medium contamination levels.
Figure 9.
Spatial distribution of metals (Cu and Co) in the waters of Lubumbashi market gardens.
Figure 10.
Spatial distribution of metals (Cd and Pb) in the waters of Lubumbashi market gardens.
Figure 11.
Spatial distribution of metals (As and Al) in the waters of Lubumbashi market gardens (A,B).
Figure 12.
Spatial distribution of metals (Zn and Fe) in the waters of Lubumbashi market gardens (A,B).
3.2.3. Safety of the Vegetables Sold in the 33 Selected Markets of Lubumbashi
The laboratory results showed that nearly all the vegetables sold on the 33 selected markets of Lubumbashi were contaminated with heavy metals, including Cd, Cu and Co. The analysis of variance showed that the use of several vegetables did not significantly influence the heavy metal concentrations (p > 0.05). However, the heavy metal concentrations remained above the contamination thresholds (Table 5). Only the Pb contents were below the WHO and AFNOR U4441 standards for vegetable consumption by humans. Among the four selected vegetables sold on Lubumbashi markets, Brassica chinensis presented the highest heavy metal (Cu, Cd and Co) contents, followed by Amaranthus vulgarus, Spinacia oleracea and Brassica carinata (Table 5).
Table 5.
Mean heavy metal concentrations (mg/kg) in 4 crops sold in the 33 selected markets of Lubumbashi (AFNOR U4441 standard).
4. Discussion
4.1. Assessment of Pollution Indices, Contamination Factors and Soil Enrichment Factors in Market Gardens
We determined the extent of contamination in the various agricultural and non-agricultural soils of Lubumbashi [11,46,47,48]. Our study is the first in the area to have data that can allow us to specifically identify each soil and its level of heavy metal pollution because none of these regional studies has been able to assess the level of pollution, contamination and enrichment of each of the soils in this regard. Our results reveal that the soil pollution index shows nearly 80% of the gardens with no pollution risk, and 21% of the market gardens are polluted. This phenomenon can be explained by the fact that market gardens close to industrial activities show severe pollution compared to the soils of gardens far from these activities [49,50]. Most anthropogenic activities practiced in the area are hydrometallurgy and pyrometallurgy to process ore; these discharge heavy metal-laden effluent into the rivers that serve as irrigation water reservoirs for urban market gardeners and pollute the agricultural soils [19,51,52]. These hydrometallurgical or pyrometallurgical treatment processes have led to heavy metal contamination of stream sediments near a gold mine in Ghana. Similar situations have been observed in Bangladesh, where [53,54] have shown that the richness of the subsoil is responsible for metal contamination of the water table on the one hand and mining activities on the other. The market gardens of Lubumbashi are close to watercourses that receive metal-rich effluents, which would cause soil pollution by watering the crops with these waters. This would be explained by the fact that organic amendments are added to the soils of the latter from former residential and mining dumps used in urban agriculture in Lubumbashi [20,55]. Based on the soil pollution index, our results corroborate those found by [56,57] who showed that soils close to a pollution source had a higher pollution index than soils far from the pollution source. In all cases, the concentrations found in the water of urban market gardens came from the exploitation of Zn-enriched deposits. Similar situations were observed in Kolwezi (DR Congo), where the Dilala and Luilu rivers had high levels of heavy metals. These high concentrations of metals in the water of these rivers were due to the former activities of abandoned mining companies that were active in the city of Kolwezi [16,58,59].
4.2. Chemical Quality of the Irrigation Water of the Market Gardens
The use of groundwater and recycled wastewater is the basis for the presence of metals in soils, water and plants [17,60,61]. These corroborate our findings that 57% of the water in the market gardens of Lubumbashi is contaminated with lead, 52% with iron, 19% with copper, 10% with cadmium and 5% with aluminum. River water is often overloaded with metals released into the environment by mining companies [62,63,64]. Furthermore, the market gardens along the Kafubu River have a high degree of Cu, Pb and Fe pollution in contrast to the other axes along which the other market gardens are located. This is thought to be due to the fact that the land on which these rivers intersect is cupro-cobalt bearing rock [65,66]. In addition, mineral processing effluents discharged by mining companies into the rivers are the main causes of water contamination/pollution. These very high metal concentrations create health and environmental problems [23,58,67] for crop watering. High lead concentrations would mainly come from mining companies’ releases to the atmosphere and water, as well as from plants [7,10,12]. Similar situations were observed by [68] in the Nile Delta in Egypt, where high concentrations of Cr, Co, Cu, Pb, Ni and Zn found in water resulted in the production of clover plants contaminated with these heavy metals, as these vegetables were watered with river water and landfill water loaded with metals had rendered plants grown on these soils unusable.
4.3. Safety of the Vegetables Sold in the 33 Selected Lubumbashi Markets
The safety of vegetables is a function of the quality of the agricultural soils and the irrigation water with which they were produced [69]. Thus, from our results, it appears that almost all of these four vegetables sampled in the markets of Lubumbashi are contaminated with copper and cobalt, and nearly 47% are contaminated with cadmium. This situation is due to the fact that the soils on which these vegetables grow are mostly contaminated by metals from mining companies, on the one hand, and from the natural richness of the subsoil, on the other hand. Our results corroborate those found in Kolwezi by [26,69,70] who found that effluent from businesses discharged into rivers was responsible for contamination of vegetables produced and consumed in the city. Since urban agriculture in Lubumbashi is usually practiced in the dry season and on the banks of rivers, the water used to water the crops is loaded with metal pollutants, which is a very serious environmental problem. Observations made by [10,16] report that effluents discharged into the rivers of Lubumbashi and the Tshamilemba canal by mining companies dating back more than a decade were the main source of contamination of the water in these rivers, as the levels of contamination found were 200 times higher than the recommended toxicity threshold for soils, and this leads to contamination of the plants growing in them. In addition, this contamination of vegetables is thought to come from the former urban dumps of Lubumbashi that are used as market gardens in the dry season and are a reservoir of metal pollutants due to the various wastes they collect [71]. These results corroborate those found in Kolwezi by [71] who report that landfills are among the most dangerous main locations for pollution, as levels found in the soil of a former landfill were above WHO standard values. Metal concentrations found in biomass were three times the standard for vegetable consumption [11,25,72]. Our results confirm those of [73,74] that showed that the pollutant quality of soils was the basis for contamination of the six vegetables grown on these soils in the Pakistan region. Thus, of all the vegetables studied in this work, it appears that Chem-Chem amaranths are the most contaminated with heavy metals, followed by Brassica carinata. This would be justified by the simple fact that the soils of the market gardens and the water used to irrigate the crops at the Chem-Chem site are the most polluted in the city of Lubumbashi.
5. Conclusions
Our study indicated persisting heavy metal (Cu, Cd, Pb, Co and Zn) contamination of the soils, waters and market garden vegetables of Lubumbashi. Chemical analysis of heavy metals in the soils and waters revealed that the main contamination/pollution sources are most probably the naturally metal-rich soils and the metal-loaded effluents discharged into watercourses by mining companies. The quality of the soil and water of many market gardens of Lubumbashi remains poor for producing uncontaminated vegetables, and our results show that the vegetables sold on Lubumbashi markets are unfit for human consumption. In view of the currently proposed phytoremediation techniques that do not fully solve soil and vegetable pollution issues, other more advanced remediation techniques such as the composting of organic matter mixed with appropriate amounts of limestone to limit soil-to-plant heavy metal transfer should be envisaged.
Author Contributions
F.M.K.: Conceptualisation, methodology, data analysis, writing; P.R.: contribution to writing, data analysis, critical revision of the manuscript; G.C.: contribution to writing, critical revision of the manuscript, project manager; M.N.S. and M.M.M.: methodology, critical revision of the manuscript; M.H.J.: supervision, contribution to writing and to critical revision of the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
This research work was funded by the Académie de Recherche et d’Enseignement Supérieur (ARES-CCD) within the framework of the Research and Development Project entitled “Amélioration des conditions de vie des habitants de Lubumbashi par le renforcement de l’Agriculture Urbaine et l’optimisation des services écosystémiques en République Démocratique du Congo”.
Data Availability Statement
Not applicable.
Acknowledgments
The authors thank Jean-Marc KAUMBU KYALAMAKASA and Lebeau LAURIN NGOY for their contributions to statistics and mapping, respectively. We also thank the NGOs REFED and BDD, and the students who did field work with us to collect data.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A
Appendix A.1. Names of the 40 Identified Urban Market Gardens of Lubumbashi
Table A1.
Urban and peri-urban gardens identified in Lubumbashi.
Table A1.
Urban and peri-urban gardens identified in Lubumbashi.
| Urban and Peri-Urban Market Gardens |
|---|
| Bombeki |
| Bongonga |
| Camps-assistant |
| Camps-scout |
| Campus-Unilu |
| Chem-chem |
| Daipen-Kisanga |
| Ferme konde |
| Ferme nkonde |
| Inera-Salongo |
| Kabetsha |
| Kafubu |
| Kakonkania |
| Kalebuka |
| Kalubwe |
| Kalulako |
| Kamakanga |
| Kamatete |
| Kamilombe |
| Kamisepe |
| Kantumbwi |
| Kasamba |
| Kashamata |
| Kashimbala |
| Kasungami |
| Katemo |
| Kawama |
| Kilobelobe |
| Kinsense |
| Kitanda |
| Luano |
| Maendeleo |
| Kinsevere/Manoah |
| Mwenda |
| Naviundu |
| Penga-penga |
| Sambwa |
| Tingi-Tingi |
| Tshamalale |
| Tshamilemba |
Appendix A.2. Names of the Markets of the City of Lubumbashi (Democratic Republic of the Congo)
Table A2.
Urban markets of Lubumbashi.
Table A2.
Urban markets of Lubumbashi.
| Market | Municipality |
|---|---|
| ANTENNE RUASHI | RUASHI |
| CAMP PREFABRIQUE | KAMPEMBA |
| DOUBLE POTEAU | LUBUMBASHI |
| EUREKA | LUBUMBASHI |
| KABULAMENSHI | LUBUMBASHI |
| KALEBUKA | ANNEXE |
| KAMATETE | ANNEXE |
| KANSOKO | ANNEXE |
| KARAVIA | ANNEXE |
| KASANGULU | LUBUMBASHI |
| KATUBA 1 | KATUBA |
| KATUBA 2 | KATUBA |
| KENYA (ZONE) | KENYA |
| KIGOMA | KAMPEMBA |
| KILOBELOBE | ANNEXE |
| KIMUTI | KAMPEMBA |
| LIDO | LUBUMBASHI |
| MANOAH NSOKO | RUASHI |
| MARCHE CINE | ANNEXE |
| MÉTÉO | ANNEXE |
| MIMBULU | KATUBA |
| MOISE | ANNEXE |
| MWIMBILA | KENYA |
| M’ZEE | LUBUMBASHI |
| NJANJA | KENYA |
| PANDE | KAMPEMBA |
| PEAGE KIMUTI | KATUBA |
| RADEM | KAMPEMBA |
| RAIL | KAMPEMBA |
| ROSE TSHAKWIZA | ANNEXE |
| TABAC | KAMPEMBA |
| TSHAMALALE | ANNEXE |
| ZAMBIA | RUASHI |
Appendix A.3. Contamination Levels of Urban and Peri-Urban Garden Soils according to the Contamination Factor
| Market Gardens | Fe Contamination Level | Cu Contamination Level | Pb Contamination Level | Zn Contamination Level |
| Bongonga | Low contamination | Low contamination | Low contamination | Low contamination |
| Chem-chem | Low contamination | Moderate contamination | Moderate contamination | Very strong contamination |
| Daipen/Kashamata | Low contamination | Low contamination | Low contamination | Low contamination |
| Kabetsha | Low contamination | Low contamination | Low contamination | Low contamination |
| Kafubu | Low contamination | Low contamination | Low contamination | Moderate contamination |
| Kalebuka | Low contamination | Low contamination | Low contamination | Low contamination |
| Kalubwe | Low contamination | Moderate contamination | Low contamination | Moderate contamination |
| Kalulako | Low contamination | Low contamination | Low contamination | Low contamination |
| Kamakanga | Low contamination | Low contamination | Low contamination | Low contamination |
| Kamatete | Low contamination | Low contamination | Low contamination | Low contamination |
| Kamilombe | Low contamination | Moderate contamination | Low contamination | Significant contamination |
| Kamisepe | Low contamination | Low contamination | Low contamination | Low contamination |
| Kantumbwi | Low contamination | Low contamination | Low contamination | Low contamination |
| Kasungami | Low contamination | Low contamination | Low contamination | Low contamination |
| Katemo | Low contamination | Low contamination | Low contamination | Low contamination |
| Kawama | Low contamination | Moderate contamination | Low contamination | Moderate contamination |
| Kilobelobe | Low contamination | Low contamination | Low contamination | Moderate contamination |
| Kinsense | Low contamination | Low contamination | Low contamination | Low contamination |
| Kinsevere-Manoah | Significant contamination | Moderate contamination | Low contamination | Moderate contamination |
| Kitanda | Low contamination | Moderate contamination | Low contamination | Significant contamination |
| Luano | Low contamination | Low contamination | Low contamination | Moderate contamination |
| Maendeleo | Low contamination | Moderate contamination | Low contamination | Moderate contamination |
| Mwenda | Low contamination | Low contamination | Moderate contamination | Low contamination |
| Penga-penga | Low contamination | Low contamination | Low contamination | Low contamination |
| Sambwa | Low contamination | Low contamination | Low contamination | Low contamination |
| Tingi-Tingi | Low contamination | Low contamination | Low contamination | Low contamination |
| Tshamalale | Low contamination | Low contamination | Low contamination | Low contamination |
| Tshamilemba | Low contamination | Low contamination | Low contamination | Low contamination |
Appendix A.4. Metal Enrichment Levels of the Urban and Peri-Urban Market Gardens of Lubumbashi
| Market Gardens | Cu | Pb | Zn |
| Bongonga | No enrichment | No enrichment | No enrichment |
| Chem-chem | Enrichment Medium High | Moderate Enrichment | High Enrichment |
| Daipen/Kashamata | Low Enrichment | No enrichment | Low Enrichment |
| Kabetsha | No enrichment | No enrichment | No enrichment |
| Kafubu | Low Enrichment | No enrichment | Moderate Enrichment |
| Kalebuka | Moderate Enrichment | No enrichment | Low Enrichment |
| Kalubwe | Low Enrichment | No enrichment | Low Enrichment |
| Kalulako | Low Enrichment | No enrichment | Low Enrichment |
| Kamakanga | No enrichment | No enrichment | No enrichment |
| Kamatete | No enrichment | No enrichment | Low Enrichment |
| Kamilombe | Low Enrichment | No enrichment | Enrichment Medium high |
| Kamisepe | Low Enrichment | No enrichment | Low Enrichment |
| Kantumbwi | No enrichment | No enrichment | No enrichment |
| Kasungami | No enrichment | No enrichment | No enrichment |
| Katemo | No enrichment | No enrichment | No enrichment |
| Kawama | Low Enrichment | No enrichment | Low Enrichment |
| Kilobelobe | Low Enrichment | Low Enrichment | Moderate Enrichment |
| Kinsense | Low Enrichment | No enrichment | Low Enrichment |
| Kinsevere-Manoah | No enrichment | No enrichment | No enrichment |
| Kitanda | Low Enrichment | No enrichment | Enrichment Medium high |
| Luano | Low Enrichment | Low Enrichment | Moderate Enrichment |
| Maendeleo | Low Enrichment | Medium High Enrichment | Enrichment Medium high |
| Mwenda | No enrichment | No enrichment | Low Enrichment |
| Penga-penga | No enrichment | No enrichment | No enrichment |
| Sambwa | Low Enrichment | Low Enrichment | Low Enrichment |
| Tingi-Tingi | Low Enrichment | No enrichment | Low Enrichment |
| Tshamalale | No enrichment | No enrichment | No enrichment |
| Tshamilemba | No enrichment | No enrichment | No enrichment |
Appendix A.5. Pollution Levels of the Urban and Peri-Urban Market Gardens of Lubumbashi
| Market Garden Name | Pollution Level |
| Bongonga | Not polluted |
| Chem-chem | Severe pollution |
| Daipen/Kashamata | Not polluted |
| Kabetsha | Not polluted |
| Kafubu | Not polluted |
| Kalebuka | Not polluted |
| Kalubwe | Severe pollution |
| Kalulako | Not polluted |
| Kamakanga | Not polluted |
| Kamatete | Not polluted |
| Kamilombe | Severe pollution |
| Kamisepe | Not polluted |
| Kantumbwi | Not polluted |
| Kasungami | Not polluted |
| Katemo | Not polluted |
| Kawama | Not polluted |
| Kilobelobe | Not polluted |
| Kinsense | Not polluted |
| Kinsevere-Manoah | Severe pollution |
| Kitanda | Severe pollution |
| Luano | Not polluted |
| Maendeleo | Severe pollution |
| Mwenda | Not polluted |
| Penga-penga | Not polluted |
| Sambwa | Not polluted |
| Tingi-Tingi | Not polluted |
| Tshamalale | Not polluted |
| Tshamilemba | Not polluted |
Appendix A.6. XRF Determination of Metals in 29 Urban and Peri-Urban Market Gardens of Lubumbashi (mg/kg). Limits of Quantification: 0.05 mg/kg
| Market Gardens | Fe | Cd | Cu | Pb | Cr | Zn |
| Bongonga | 3.31 | 0.05 | 59 | 0.05 | 0.05 | 30 |
| Chem-Chem | 4.08 | 45 | 1.355 | 221 | 67 | 1.47 |
| Daipen/Kashamata | 2.13 | 0.05 | 204 | 20 | 45 | 60 |
| Kabetsha | 2.19 | 0.05 | 113 | 0.05 | 45 | 42 |
| Kafubu | 2.34 | 236 | 146 | 0.05 | 0.05 | 181 |
| Kalebuka | 1.12 | 0.05 | 226 | 0.05 | 38 | 53 |
| Kalubwe | 4.97 | 40 | 850 | 0.05 | 58 | 301 |
| Kalulako | 1.84 | 0.05 | 239 | 0.05 | 0.05 | 85 |
| Kamakanga | 3.33 | 0.05 | 78 | 0.05 | 66 | 44 |
| Kamatete | 3.55 | 0.05 | 206 | 26 | 0.05 | 138 |
| Kamilombe | 4.23 | 56 | 656 | 0.05 | 69 | 716 |
| Kamisepe | 1.87 | 0.05 | 208 | 0.05 | 63 | 73 |
| Kantumbwi | 1.81 | 0.05 | 45 | 0.05 | 46 | 28 |
| Kasungami | 1.9 | 0.05 | 102 | 0.05 | 47 | 38 |
| Katemo | 3.23 | 19 | 56 | 0.05 | 0.05 | 35 |
| Kawama | 4.18 | 0.05 | 598 | 39 | 0.05 | 262 |
| Kikula/Sambwa | 1.57 | 0.05 | 201 | 18 | 45 | 88 |
| Kilobelobe | 3.71 | 0.05 | 344 | 48 | 75 | 284 |
| Kinsense | 3.7 | 0.05 | 270 | 34 | 51 | 136 |
| Kinsevere (Manoah) | 33.43 | 0.05 | 535 | 81 | 0.05 | 394 |
| Kitanda | 4.96 | 0.05 | 826 | 47 | 59 | 652 |
| Luano | 4.05 | 0.05 | 346 | 80 | 46 | 300 |
| Maendeleo | 2.7 | 0.05 | 493 | 184 | 57 | 409 |
| Mashimikila | 2.46 | 0.05 | 1.043 | 73 | 0.05 | 230 |
| Mwenda | 1.28 | 0.05 | 66 | 0.05 | 43 | 42 |
| Pengapenga | 4.31 | 0.05 | 183 | 0.05 | 49 | 50 |
| Tingi-Tingi | 2.57 | 0.05 | 160 | 0.05 | 45 | 66 |
| Tshamalale | 2.73 | 0.05 | 50 | 0.05 | 0.05 | 34 |
| Tshamilemba | 2.46 | 0.05 | 51 | 0.05 | 0.05 | 33 |
| Toxicity threshold (mg/kg) | NT | 2 | 100 | 100 | 150 | 300 |
References
- Kaninga, B.; Chishala, B.H.; Maseka, K.K.; Sakala, G.M.; Young, S.D.; Lark, R.M.; Tye, A.; Hamilton, E.M.; Gardner, A.; Watts, M.J. Do soil amendments used to improve agricultural productivity have consequences for soils contaminated with heavy metals? Heliyon 2020, 6, e05502. [Google Scholar] [CrossRef] [PubMed]
- Fahmy, H.M.; Mohamed, F.M.; Marzouq, M.H.; Mustafa, A.B.E.-D.; Alsoudi, A.M.; Ali, O.A.; Mohamed, M.A.; Mahmoud, F.A. Review of Green Methods of Iron Nanoparticles Synthesis and Applications. Bionanoscience 2018, 8, 491–503. [Google Scholar] [CrossRef]
- Dheri, G.S.; Brar, M.S.; Malhi, S.S. Heavy-metal concentration of sewage-contaminated water and its impact on underground water, soil, and crop plants in alluvial soils of northwestern India. Commun. Soil Sci. Plant Anal. 2007, 38, 1353–1370. [Google Scholar] [CrossRef]
- Lin, Y.-C.; Lee, W.-J.; Shih, Y.-J.; Jhang, S.-R.; Chien, S.-K. Levels and sources of heavy metals in soil, sediment, and food crop in the vicinity of electric arc furnace (EAF) steelmaking plant: A case study from Taiwan. J. Soils Sediments 2018, 18, 2562–2572. [Google Scholar] [CrossRef]
- Ma, L.; Sun, J.; Yang, Z.; Wang, L. Heavy metal contamination of agricultural soils affected by mining activities around the Ganxi River in Chenzhou, Southern China. Environ. Monit. Assess. 2015, 187, 208. [Google Scholar] [CrossRef]
- Xie, W.; Peng, C.; Wang, H.; Chen, W. Bioaccessibility and source identification of heavy metals in agricultural soils contaminated by mining activities. Environ. Earth Sci. 2018, 77, 606. [Google Scholar] [CrossRef]
- Khalid, S.; Shahid, M.; Natasha; Bibi, I.; Sarwar, T.; Shah, A.H.; Niazi, N.K. A review of environmental contamination and health risk assessment of wastewater use for crop irrigation with a focus on low and high-income countries. Int. J. Environ. Res. Public Health 2018, 15, 895. [Google Scholar] [CrossRef]
- Mlangeni, A.T.; Raab, A.; Kumambala, P.; Monjerezi, M.; Matumba, L.; Feldmann, J. Evaluation of Metal(loids) Concentrations in Soils of Selected Rice Paddy Fields in Malawi. Agronomy 2022, 12, 2349. [Google Scholar] [CrossRef]
- Vongdala, N.; Tran, H.-D.; Xuan, T.D.; Teschke, R.; Khanh, T.D. Heavy metal accumulation in water, soil, and plants of municipal solid waste landfill in Vientiane, Laos. Int. J. Environ. Res. Public Health 2019, 16, 22. [Google Scholar] [CrossRef]
- Atibu, E.K.; Devarajan, N.; Laffite, A.; Giuliani, G.; Salumu, J.A.; Muteb, R.C.; Mulaji, C.K.; Otamonga, J.-P.; Elongo, V.; Mpiana, P.T.; et al. Assessment of trace metal and rare earth elements contamination in rivers around abandoned and active mine areas. The case of Lubumbashi River and Tshamilemba Canal, Katanga, Democratic Republic of the Congo. Chem. Erde 2016, 76, 353–362. [Google Scholar] [CrossRef]
- Mubemba, M.M.; Sikuzani, Y.U.; Kimuni, L.N.; Colinet, G. Effets d’amendements carbonatés et organiques sur la culture de deux légumes sur sol contaminé à Lubumbashi (RD Congo). Biotechnol. Agron. Soc. Environ. 2014, 18, 367–375. [Google Scholar]
- Osaili, T.M.; Al Jamali, A.F.; Makhadmeh, I.M.; Taha, M.; Jarrar, S.K. Heavy metals in vegetables sold in the local market in Jordan. Food Addit. Contam. Part B Surveill. 2016, 9, 223–229. [Google Scholar] [CrossRef] [PubMed]
- Mulambi, M.M.; Yannick, U.S.; Theodore, M.M.; Guy, K.M.; Muyembe, M.; Kampanyi, I.; Ckeface, K.K.; Kalilo, K.; Luciens, N.K. Teneurs en éléments traces métalliques dans les sols de différents jardins potagers de la ville minière de Lubumbashi et risques de contamination des cultures potagères. J. Appl. Biosci. 2013, 66, 5106–5113. [Google Scholar]
- Sultana, M.; Mondol, M.; Mahir, A.; Sultana, R.; Elahi, S.; Afrose, N.; Chamon, A. Heavy metal concentration and health risk assessment in commonly sold vegetables in Dhaka city market. Bangladesh J. Sci. Ind. Res. 2019, 54, 357–366. [Google Scholar] [CrossRef]
- Matech, F.; Zaakour, F.; Chemsi, Z.; Moustarhfer, K.; Mohcine, H.; Marrakchi, C.S.N.; Saber, N. Effect of concentration increasing of cd, cr, cu, pb and zn in soils irrigated by waste waters of hassar river (region of mediouna-casablanca-morocco). Phys. Chem. News 2014, 71, 94–99. [Google Scholar]
- Ullah, N.; Rehman, M.U.; Ahmad, B.; Ali, I.; Younas, M.; Aslam, M.S.; Rahman, A.-U.; Taheri, E.; Fatehizadeh, A.; Rezakazemi, M. Assessment of heavy metals accumulation in agricultural soil, vegetables and associated health risks. PLoS ONE 2022, 17, e0267719. [Google Scholar] [CrossRef]
- Abuzaid, A.S.; Abdel-Salam, M.A.; Ahmad, A.F.; Fathy, H.A.; Fadl, M.E.; Scopa, A. Effect of Marginal-Quality Irrigation on Accumulation of some Heavy Metals (Mn, Pb, and Zn) in TypicTorripsamment Soils and Food Crops. Sustainability 2022, 14, 1067. [Google Scholar] [CrossRef]
- Muimba-Kankolongo, A.; Nkulu, C.B.L.; Mwitwa, J.; Kampemba, F.M.; Nabuyanda, M.M.; Haufroid, V.; Smolders, E.; Nemery, B. Contamination of water and food crops by trace elements in the African Copperbelt: A collaborative cross-border study in Zambia and the Democratic Republic of Congo. Environ. Adv. 2021, 6, 100103. [Google Scholar] [CrossRef]
- Massadeh, A.M.; Al-Massaedh, A.A.T. Determination of heavy metals in canned fruits and vegetables sold in Jordan market. Environ. Sci. Pollut. Res. 2018, 25, 1914–1920. [Google Scholar] [CrossRef]
- Mpinda, M.T.; Abass, O.K.; Bazirake, M.B.; Nsokimieno, E.M.; Mylor, N.S.; Kayembe, K.W.; Zakari, S.; Khonde, R. Towards the efficiency of municipal solid waste management in the democratic republic of congo (Drc): Case study of lubumbashi. Am. J. Environ. Sci. 2016, 12, 193–205. [Google Scholar] [CrossRef]
- Ciumasu, I.M.; Costica, M.; Costica, N.; Neamtu, M.; Dirtu, A.C.; de Alencastro, L.F.; Buzdugan, L.; Andriesa, R.; Iconomu, L.; Stratu, A.; et al. Complex Risks from Old Urban Waste Landfills: Sustainability Perspective from Iasi, Romania. J. Hazard. Toxic Radioact. Waste 2012, 16, 158–168. [Google Scholar] [CrossRef]
- Gola, D.; Malik, A.; Shaikh, Z.A.; Sreekrishnan, T.R. Impact of Heavy Metal Containing Wastewater on Agricultural Soil and Produce: Relevance of Biological Treatment. Environ. Process. 2016, 3, 1063–1080. [Google Scholar] [CrossRef]
- Bandara, J.M.R.S.; Senevirathna, D.M.A.N.; Dasanayake, D.M.R.S.B.; Herath, V.; Abeysekara, T.; Rajapaksha, K.H. Chronic renal failure among farm families in cascade irrigation systems in Sri Lanka associated with elevated dietary cadmium levels in rice and freshwater fish (Tilapia). Environ. Geochem. Health 2008, 30, 465–478. [Google Scholar] [CrossRef]
- Ilechukwu, I.; Osuji, L.C.; Okoli, C.P.; Onyema, M.O.; Ndukwe, G.I. Assessment of heavy metal pollution in soils and health risk consequences of human exposure within the vicinity of hot mix asphalt plants in Rivers State, Nigeria. Environ. Monit. Assess. 2021, 193, 461. [Google Scholar] [CrossRef] [PubMed]
- Song, Q.; Li, J. A review on human health consequences of metals exposure to e-waste in China. Environ. Pollut. 2015, 196, 450–461. [Google Scholar] [CrossRef] [PubMed]
- Scheen, A.J.; Giet, D. Rôle de l’environnement dans les maladies complexes: Pollution atmosphérique et contaminants alimentaires. Rev. Med. Liege 2012, 67, 226–233. [Google Scholar]
- Kayembe-Kitenge, T.; Lubala, T.K.; Obadia, P.M.; Chimusa, P.K.; Nawej, C.K.; Nkulu, C.B.L.; Devriendt, K.; Nemery, B. Holoprosencephaly: A case series from an area with high mining-related pollution. Birth Defects Res. 2019, 111, 1561–1563. [Google Scholar] [CrossRef]
- Mutshail, G. Aperçu Technologique Sur L’Horticulture Urbaine Et Périurbaine De La Rdc—Cas De La Ville De Lubumbashi. Acta Hortic. 2014, 1021, 243–257. [Google Scholar] [CrossRef]
- Mubemba, M.M.M.; Mununga, K.F.; Kaumbu, K.J.-M.; Mwilambwe, K.X.; Maloba, K.J.-P.; Banza, I.M.; Mukunto, K.I. Influence des sols contaminés en cuivre sur le développement de deux variétés (locale et améliorée) de légumes dans la région de Lubumbashi (RD. Congo). J. Appl. Biosci. 2017, 115, 11410. [Google Scholar] [CrossRef]
- Houba, V.; Lexmond, T.; Novozamsky, I.; van der Lee, J. State of the art and future developments in soil analysis for bioavailability assessment. Sci. Total Environ. 1996, 178, 21–28. [Google Scholar] [CrossRef]
- Hoet, P.; Jacquerye, C.; Deumer, G.; Lison, D.; Haufroid, V. Reference values and upper reference limits for 26 trace elements in the urine of adults living in Belgium. Clin. Chem. Lab. Med. 2013, 51, 839–849. [Google Scholar] [CrossRef]
- Adams, S.F.; Miller, T.A. Two-photon absorption laser-induced fluorescence of atomic nitrogen by an alternative excitation scheme. Chem. Phys. Lett. 1998, 295, 305–311. [Google Scholar] [CrossRef]
- Cabrera, F.; Clemente, L.; Barrientos, E.D.; López, R.; Murillo, J.M. Heavy metal pollution of soils affected by the Guadiamar toxic flood. Sci. Total Environ. 1999, 242, 117–129. [Google Scholar] [CrossRef] [PubMed]
- Yang, Q.W.; Lan, C.Y.; Wang, H.B.; Zhuang, P.; Shu, W.S. Cadmium in soil-rice system and health risk associated with the use of untreated mining wastewater for irrigation in Lechang, China. Agric. Water Manag. 2006, 84, 147–152. [Google Scholar] [CrossRef]
- Bogaert, J.; Colinet, G.; Mahy, G. Anthropisation des Paysages Katangais; Les Presses Universitaires de Liège: Gembloux, Belgium, 2018. [Google Scholar]
- Tomlinson, D.L.; Wilson, J.G.; Harris, C.R.; Jeffrey, D.W. Problems in the assessment of heavy-metal levels in estuaries and the formation of a pollution index. Helgoländer Meeresunters. 1980, 33, 566–575. [Google Scholar] [CrossRef]
- Chester, R.; Stoner, J.H. The distribution of zinc, nickel, manganese, cadmium, copper, and iron in some surface waters from the world ocean. Mar. Chem. 1974, 2, 17–32. [Google Scholar] [CrossRef]
- Balls, P.W.; Hull, S.; Miller, B.S.; Pirie, J.M.; Proctor, W. Trace Metal in Scottish Estuarine and Coastal Sediments. Mar. Pollut. Bull. 1997, 34, 42–50. [Google Scholar] [CrossRef]
- Rubio, B.; Nombela, M.A.; Vilas, F. Geochemistry of Major and Trace Elements in Sediments of the Ria de Vigo (NW Spain): An Assessment of Metal Pollution. Mar. Pollut. Bull. 2000, 40, 968–980. [Google Scholar] [CrossRef]
- Karim, Z.; Qureshi, B.A.; Mumtaz, M. Geochemical baseline determination and pollution assessment of heavy metals in urban soils of Karachi, Pakistan. Ecol. Indic. 2015, 48, 358–364. [Google Scholar] [CrossRef]
- Mucha, A.P.; Vasconcelos, M.T.S.D.; Bordalo, A.A. Macrobenthic community in the Douro estuary: Relations with trace metals and natural sediment characteristics. Environ. Pollut. 2003, 121, 169–180. [Google Scholar] [CrossRef]
- Abu-Rukah, H.A.G.Y.; Rosen, M.A. Application of geoaccumulation index and enrichment factor for assessing metal contamination in the sediments of Kafrain Dam, Jordan. Environ. Monit. Assess. 2011, 178, 95–109. [Google Scholar] [CrossRef]
- Marrugo-Negrete, J.; Marrugo-Madrid, S.; Pinedo-Hernández, J.; Durango-Hernández, J.; Díez, S. Screening of native plant species for phytoremediation potential at a Hg-contaminated mining site. Sci. Total Environ. 2016, 542, 809–816. [Google Scholar] [CrossRef] [PubMed]
- Mpinda, M.T.; Mujinya, B.B.; Mees, F.; Kasangij, P.K.; Van Ranst, E. Patterns and forms of copper and cobalt in Macrotermes falciger mounds of the Lubumbashi area, DR Congo. J. Geochem. Explor. 2022, 238, 107002. [Google Scholar] [CrossRef]
- De Haan, M.; Keuning, S.J. Taking the environment into account: The NAMEA approach. Rev. Income Wealth 1996, 42, 131–148. [Google Scholar] [CrossRef]
- Shutcha, M.N.; Faucon, M.-P.; Kissi, C.K.; Colinet, G.; Mahy, G.; Luhembwe, M.N.; Visser, M.; Meerts, P. Three years of phytostabilisation experiment of bare acidic soil extremely contaminated by copper smelting using plant biodiversity of metal-rich soils in tropical Africa (Katanga, DR Congo). Ecol. Eng. 2015, 82, 81–90. [Google Scholar] [CrossRef]
- Muyumba, D.K.; Pourret, O.; Liénard, A.; Bonhoure, J.; Mahy, G.; Luhembwe, M.N.; Colinet, G. Mobility of copper and cobalt in metalliferous ecosystems: Results of a lysimeter study in the Lubumbashi Region (Democratic Republic of Congo). J. Geochem. Explor. 2019, 196, 208–218. [Google Scholar] [CrossRef]
- Lange, B.; Faucon, M.P.; Meerts, P.; Shutcha, M.; Mahy, G.; Pourret, O. Prediction of the edaphic factors influence upon the copper and cobalt accumulation in two metallophytes using copper and cobalt speciation in soils. Plant Soil 2014, 379, 275–287. [Google Scholar] [CrossRef]
- Teng, M.; Zeng, L.; Xiao, W.; Huang, Z.; Zhou, Z.; Yan, Z.; Wang, P. Spatial variability of soil organic carbon in Three Gorges Reservoir area, China. Sci. Total Environ. 2017, 599–600, 1308–1316. [Google Scholar] [CrossRef]
- Iyama, W.A.; Okpara, K.; Techato, K. Assessment of heavy metals in agricultural soils and plant (Vernonia amygdalina delile) in port harcourt metropolis, Nigeria. Agriculture 2022, 12, 27. [Google Scholar] [CrossRef]
- Foli, G.; Nude, P.M. Concentration levels of some inorganic contaminants in streams and sediments in areas of pyrometallurgical and hydrometallurgical activities at the obuasi gold mine, Ghana. Environ. Earth Sci. 2012, 65, 753–763. [Google Scholar] [CrossRef]
- Thembachako, A.; Lancaster, S.T.; Raab, A.; Krupp, E.M.; Norton, G.J.; Feldmann, J. Science of the Total Environment Higher zero valent iron soil amendments dosages markedly inhibit accumulation of As in Faya and Kilombero cultivars compared to Cd. Sci. Total Environ. 2021, 794, 148735. [Google Scholar] [CrossRef]
- Smith, A.H.; Lingas, E.O.; Rahman, M. Contamination of drinking-water by arsenic in Bangladesh: A public health emergency. Bull. World Health Organ. 2000, 78, 1093–1103. [Google Scholar] [CrossRef]
- Wang, H.; Li, X.; Chen, Y.; Li, Z.; Hedding, D.W.; Nel, W.; Ji, J.; Chen, J. Geochemical behavior and potential health risk of heavy metals in basalt-derived agricultural soil and crops: A case study from Xuyi County, eastern China. Sci. Total Environ. 2020, 729, 139058. [Google Scholar] [CrossRef]
- Rai, U.N.; Pandey, K.; Sinha, S.; Singh, A.; Saxena, R.; Gupta, D.K. Revegetating fly ash landfills with Prosopis juliflora L.: Impact of different amendments and Rhizobium inoculation. Environ. Int. 2004, 30, 293–300. [Google Scholar] [CrossRef] [PubMed]
- Kao, T.; Mejahed, K.E.L.; Bouzidi, A. Evaluation de la pollution métallique dans les sols agricoles irrigués par les eaux usées de la ville de Settat (Maroc ). Bull. L’Inst. Sci. Rabat Sect. Sci. Vie 2007, 29, 89–92. [Google Scholar]
- Yang, J.; Lv, F.; Zhou, J.; Song, Y.; Li, F. Health risk assessment of vegetables grown on the contaminated soils in Daye City of Hubei Province, China. Sustainability 2017, 9, 2141. [Google Scholar] [CrossRef]
- Atibu, E.K.; Lacroix, P.; Sivalingam, P.; Ray, N.; Giuliani, G.; Mulaji, C.K.; Otamonga, J.-P.; Mpiana, P.T.; Slaveykova, V.; Poté, J. High contamination in the areas surrounding abandoned mines and mining activities: An impact assessment of the Dilala, Luilu and Mpingiri Rivers, Democratic Republic of the Congo. Chemosphere 2018, 191, 1008–1020. [Google Scholar] [CrossRef] [PubMed]
- Chen, T.; Liu, X.; Zhu, M.; Zhao, K.; Wu, J.; Xu, J.; Huang, P. Identification of trace element sources and associated risk assessment in vegetable soils of the urban-rural transitional area of Hangzhou, China. Environ. Pollut. 2008, 151, 67–78. [Google Scholar] [CrossRef]
- Yasuor, H.; Yermiyahu, U.; Ben-Gal, A. Consequences of irrigation and fertigation of vegetable crops with variable quality water: Israel as a case study. Agric. Water Manag. 2020, 242, 106362. [Google Scholar] [CrossRef]
- Kwon, S.-I.; Jang, Y.-A.; Owens, G.; Kim, M.-K.; Jung, G.-B.; Hong, S.-C.; Chae, M.-J.; Kim, K.-R. Long-term assessment of the environmental fate of heavy metals in agricultural soil after cessation of organic waste treatments. Environ. Geochem. Health 2014, 36, 409–419. [Google Scholar] [CrossRef]
- Akoto, O.; Bruce, T.N.; Darko, G. Heavy metals pollution profiles in streams serving the Owabi reservoir. Afr. J. Environ. Sci. Technol. 2008, 2, 354–359. [Google Scholar]
- Pekey, H. The distribution and sources of heavy metals in Izmit Bay surface sediments affected by a polluted stream. Mar. Pollut. Bull. 2006, 52, 1197–1208. [Google Scholar] [CrossRef]
- Oguntade, A.O.; Adetunji, M.T.; Arowolo, T.A.; Salako, F.K.; Azeez, J.O. Use of dye industry effluent for irrigation in Amaranthus cruentus L. production: Effect on growth, root morphology, heavy metal accumulation, and the safety concerns. Arch. Agron. Soil Sci. 2015, 61, 865–876. [Google Scholar] [CrossRef]
- Khalil, A.; Hanich, L.; Bannari, A.; Zouhri, L.; Pourret, O.; Hakkou, R. Assessment of soil contamination around an abandoned mine in a semi-arid environment using geochemistry and geostatistics: Pre-work of geochemical process modeling with numerical models. J. Geochem. Explor. 2013, 125, 117–129. [Google Scholar] [CrossRef]
- Abuzaid, M.M.; Elshami, W.; Tekin, H.; Issa, B. Assessment of the Willingness of Radiologists and Radiographers to Accept the Integration of Arti fi cial Intelligence Into Radiology Practice. Acad. Radiol. 2020, 29, 87–94. [Google Scholar] [CrossRef]
- Inyinbor, A.A.; Bello, O.S.; Oluyori, A.P.; Inyinbor, H.E.; Fadiji, A.E. Wastewater conservation and reuse in quality vegetable cultivation: Overview, challenges and future prospects. Food Control 2019, 98, 489–500. [Google Scholar] [CrossRef]
- Aboubakar, A.; El Hajjaji, S.; Douaik, A.; Mewouo, Y.C.M.; a Madong, R.C.B.; Dahchour, A.; Mabrouki, J.; Labjar, N. Heavy metal concentrations in soils and two vegetable crops (Corchorus olitorius and Solanum nigrum L.), their transfer from soil to vegetables and potential human health risks assessment at selected urban market gardens of Yaoundé, Cameroon. Int. J. Environ. Anal. Chem. 2021, 1–22. [Google Scholar] [CrossRef]
- Seid-Mohammadi, A.; Roshanaei, G.; Asgari, G. Heavy metals concentration in vegetables irrigated with contaminated and fresh water and estimation of their daily intakes in Suburb areas of Hamadan, Iran. J. Res. Health Sci. 2014, 14, 70–75. [Google Scholar]
- Cheyns, K.; Nkulu, C.B.L.; Ngombe, L.K.; Asosa, J.N.; Haufroid, V.; De Putter, T.; Nawrot, T.; Kimpanga, C.M.; Numbi, O.L.; Ilunga, B.K.; et al. Pathways of human exposure to cobalt in Katanga, a mining area of the D.R. Congo. Sci. Total Environ. 2014, 490, 313–321. [Google Scholar] [CrossRef]
- Arukwe, A.; Eggen, T.; Möder, M. Solid waste deposits as a significant source of contaminants of emerging concern to the aquatic and terrestrial environments—A developing country case study from Owerri, Nigeria. Sci. Total Environ. 2012, 438, 94–102. [Google Scholar] [CrossRef]
- Antoniadis, V.; Shaheen, S.M.; Boersch, J.; Frohne, T.; Laing, G.D.; Rinklebe, J. Bioavailability and risk assessment of potentially toxic elements in garden edible vegetables and soils around a highly contaminated former mining area in Germany. J. Environ. Manag. 2017, 186, 192–200. [Google Scholar] [CrossRef]
- Tahir, M.A.; Shaheen, H.; Rathinasabapathi, B. Health risk associated with heavy metal contamination of vegetables grown in agricultural soil of Siran valley, Mansehra, Pakistan—A case study. Environ. Monit. Assess. 2022, 194, 551. [Google Scholar] [CrossRef] [PubMed]
- Sharma, R.K.; Agrawal, M.; Marshall, F.M. Heavy metal (Cu, Zn, Cd and Pb) contamination of vegetables in urban India: A case study in Varanasi. Environ. Pollut. 2008, 154, 254–263. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).