Pollution, 6(4): 811-826, Autumn 2020 DOI: 10.22059/poll.2020.301691.792 Print ISSN: 2383-451X Online ISSN: 2383-4501 Web Page: https://jpoll.ut.ac.ir, Email: [email protected]

Phytoremediation of soil Contaminated by Heavy Metals within a Technical Landfill Center Vicinity: Algerian Case Study

Boukaka, Kh.1&2* and Mayache, B.1&2

1. Biotechnology, Environment and Health laboratory, Mohammed Seddik Ben Yahia University, 2. Department of environmental sciences and agronomic sciences, Mohamed Seddik Ben Yahia university , , Algeria

Received: 26.04.2020 Accepted: 01.07.2020

ABSTRACT: The contamination of environment with heavy metals has become a serious problem which can affect the human health. Three heavy metals (Zn, Cd and Pb) were determined in soil and plants for below and aboveground parts along landfill Demina center, located in the wilaya of Jijel, Algeria to evaluate their behavior and uptake by Ditrichia viscosa, Juncus effusus and Solanum nigrum. In our research we tried to study the capacity of these spontaneous plants to accumulate and to translocate heavy metals from soil to their tissues during three years. The heavy metals examined in the soils of the study area showed variations in concentrations, the study area may be practically unpolluted with Zn and Pb (CF; 0.45 and 0.98 successively) and very contaminated with Cd (CF; 8.53). According to the results obtained, the soil is uncontaminated with lead (Igeo=-0.60) and zinc (Igeo= -1.42) but it is heavily contaminated with cadmium (Igeo=2.5) along the study area. Overall the BCFS (bioconcentration factors) are superior to 1, for the all heavy metals and species. However, BCFs follow the following order; BCFZn>BCFPb>BCFCd for Ditrichia viscosa, the following order BCFPb>BCFZn>BCFCd for Juncus effuses and follow the following order; BCFZn>BCFCd>BCFPb for Solanum nigrum. The TFs (translocation factor) of the present study showed that Solanum nigrum can translocate the three of the metals into their aboveground parts. Keywords: Ditrichia viscosa, Solanum nigrum, Juncus effusus, bioconcentration factor, contamination factor, geoaccumulation factor.

INTRODUCTION the environment (Tabat, 2001). Because The main sources of environmental they are not readily metabolized or contamination by heavy metals in addition excreted, this means that they become to landfills and waste disposal on land are more highly concentrated as they move up human activities such as energy the food chain (Konkolewska et al., 2020). production, agricultural fertilizers, Soil contamination by heavy metals is domestic sewage and industries (Ross., widely studied (Tabat, 2001; Chehregani et 1994; Chehregani et al., 2009; Bialowiec et al., 2009; Zovko et al., 2011; Singh et al., al., 2010; Zovko et al., 2011; Singh et al., 2015; Feranadez et al ., 2016). Several 2015). Heavy metals are little or not at all methods have been undertaken to remove degradable and tend to bioaccumulate in heavy metals from contaminated soil, but phytoremediation has a singularity * Corresponding Author, Email: [email protected]

811 Boukaka, Kh. and Mayache, B. compared to physicochemical and manage municipal solid waste (MSW) mechanical remediation methods (Tong et collected are disposed of in landfills al., 2004). worldwide (Swati et al., 2014), and The generic term “phytoremediation” landfilling is the principal method used to consists of the Greek prefix phyto (plant), remove and disposal major MSW in attached to the Latin word remedium (to modern cities (Wong et al., 2015). correct or remove an evil) (Centofanti., Landfills were thought to be the safe 2014), this technique includes a range of disposal method of MSW (Adamcová et plant-based remediation processes such as al., 2016). Heavy metals pollution and phytoextraction, phytostabilization, mobility in soils within landfill vicinity is phytoimmobilization, rhizofiltration and widely studied worldwide (Mikac et al., phytovolatilization (Heavy metals 1998; Admacova et al., 2016; Vaverková et contamination., 2000), increased attention is al, 2017; Nykia et al., 2019), and in Algeria being paid to phytoextraction (Rebele et (Belabed, et al., 2014; Foufou et al., 2017; Lehman., 2011; Feranadez et al ., 2016), Belabed, 2018; Mouhoun-Chouaki et al., which is the technology that uses plants to 2019; Sahnoune and Moussaceb, 2019). extract elements from polluted or Algeria launches a project to build 122 mineralized soils, and accumulate them in Technical Landfill Centers (TLC class 2) harvestable organs and tissues in order to and 146 controlled landfills (74 TLCs are remove the pollutants/contaminants from the operational put into service) (Centre field (Srilakshmisumitha et al ., 2013; Irfan National des Technologies de Production Dar et al ., 2015) such as soil and water. plus Propre, CNTPP, Algeria, 2015). In Surveying natural vegetation in a Algeria landfilling is the most frequently contaminated environment is an effective used method for the disposal of urban approach to identify plants with high wastes (both non-hazardous and hazardous bioaccumulation potential and their ability wastes). Demina (TLC), located near to accumulate toxic metals in their tissues city (Jijel, Algeria), constitutes one of the (Fernández et al. 2017). Hyper three technical landfills of is a accumulators are the plants who are able to case of landfilling of waste onto permeable accumulate unusually high levels of heavy alluvial sediment without any protected metals in their aboveground harvestable barrier. It has a greatest impact on local parts for example: >100 mg Cd kg-1, >1000 residents; it contributes to the release of mg Cu, Ni, and Pb kg-1, and >10,000 mg odors, dust and insects, in addition to Zn kg-1 in the dry matter (dm) of shoots contaminated water and leachate are when growing in their natural habitats directly drained into Boulkeraa watercourse (Khan et al ., 1999; Minlim et al ., 2004; without any prior treatment, which Zhuang et al., 2007; Veratomé et al ., 2008; constitutes a threat to the environment. Kyu Kwon et al., 2015). To date, However we note that Boulkeraa River is approximately 400 plant taxa worldwide the main source of irrigation in the region. from at least 45 plant families have been To our knowledge, this is the first study reported to hyperaccumulate metals carried out on the environmental impact of (koopmans et al ., 2008), Thlaspi, Urtica, TLCs in the wilaya of Jijel. Chenopodium, Polygonum sachalase, Following the previous considerations, Alyssim, Zea mays, Pisum sativum, Avena the main objectives of this investigation sativa, Hordeum vulgare and Brassica were; juncea, are the most mentioned in the 1. To quantify the concentration levels of recent data (Khan et al., 2016). heavy metals (Pb, Zn and Cd) in The most common means used to Demina’s technical landfill center soils;

812 Pollution, 6(4): 811-826, Autumn 2020

2. To characterize the plant species able The physical and chemical soil to germinate spontaneously and to properties including pH, EC, CEC, OM survive on contaminated soils. For this, and total limestone were determined three species plants namely Ditrichia following the method mentioned by viscosa, Juncus effusus and Solanum (Clement et al ., 2003). nigrum were identified, sampled and According to Hoening et al, 2012, total analyzed with the aim to evaluate their heavy metals concentrations were potential use in phytostabilization or quantified after acidic digestion with phytoextraction trials for recovering concentrated HCl (37%), HNO3 (65%); at areas affected by heavy metals; the ratio of 3:1(v/v), the solution was 3. To evaluate the accumulation boiled on a hot plate, let it cool down a bit , potential of the three species growing afterwards add 50 ml of deionized water. on the contaminated site; The measure of Pb, Cd and Zn 4. To determine the mobility of the concentrations was realized by a flame heavy metals in the soil. atomic absorption spectroscopy (FAAS). The plant harvest was carried out during MATERIALS AND METHODS the winter of 2014, 2015 and 2016. The research was conducted in technical Samples were rinsed with distilled water to landfill center of Demina, (36° 43` 41.03`` remove surface dust and soil particles, each N, 5° 54` 59 .90`` E, coordinates were sample was separated into two parts (roots determined by global positioning system, and aboveground parts), dried at 40°C to GPS), in Taher city (Fig.1). The city covers constant weight, grounded into fine powder 2 more than 350 km and has an urban and sieved at 2 mm. Acid digestion of plant population of approximately 147 61. It is samples was performed using a mixture of located north-east of Algeria of about 4,05 concentrate HNO3, H2O2 (30%) and the Km from the National road n°142.The site sulfuric acid, after cooling in the room covers approximately 4 hectares. It enjoys temperature, the residue was diluted with an essentially Mediterranean climate with dionized water to 50 ml, the plant extracts mild, relatively wet winters and dry, hot were analyzed by the FAAS ( Hoening and summers, the average annual rainfall is al .,2012) about 541mm with a maximum of 1407.9 Bioconcentration is the increasing in the mm; with an average temperature varies concentration of the pollutant during its between 11.23 and 25.13°C (National direct passage from the biotope to the weather office). The main water sources organism; its assessment is based on are; precipitation and groundwater. bioconcentration data measured in the plant Contaminated water and leachate are species studied. In land plants, this process directly drained into Boulkeraa watercourse takes place by the passage of soil pollutants without any prior treatment. According to to the plant through the root system. These center officials, the landfill receives wastes processes can be expressed by using the from five urban agglomerations, Taher, concentration factor (FC), the , , Kennar, and Emir bioconentration factor (BCF) or the Abdelkader. It receives between 20 and 25 bioaccumulation coefficient (BAC). BCF tons of waste per day. indicates the efficiency of a plant species in A total of 81 composed samples were accumulating a metal into its tissues from collected from the study area (of 0-15 cm the surrounding environment, which can be depth), they returned to the laboratory, expressed as the ratio of the metal dried and crushed into powder and sieving concentration within plant roots (mg.kg-1) trough 2 mm. over that in soil/substrate.

813 Boukaka, Kh. and Mayache, B.

Algeria

Jijel province

N

Fig. 1. the map of the study area and sampling location points of soil and plants. (Source: Global Mappper 20)

In our study, the bioaccumulation aboveground parts of the plant, was coefficient (BCF), is the ratio of the total calculated as the ratio of the concentration metal concentration in the whole plant of metal in the shoot to the metal (root, stem and leaves) over that in the soil concentration in roots. samples, they were calculated according to TF= metal concentration in shoot tissue the following equation: or aboveground parts (ppm or mg.kg- 1)/metal concentration in root tissue (ppm metal concentration in plants -1 BCF  or mg.kg ) (Rana et al., 2018; Wang et al., metal concentration in soil  or the substrate 2018; Thongchai et al., 2019; Liu et al., (Sekabira et al., 2011). 2019; Ramanlal et al .,2020).

TF, indicates the efficiency of the plant TF=Meshoot/Meroot in the translocation of the accumulated The contamination factor (CF) is an metal from its roots to shoots or assessment of sediment contamination by

814 Pollution, 6(4): 811-826, Autumn 2020 comparison of concentration with those of after reading of each plant and after each background sediments. It is used to assess reading soil samples using blank and we the level of the contamination of the given achieve a calibration coefficient of metal in a soil and it is calculated r=0.99. according to the following equation: The analytical precision of the three duplicate sediment sample analyses of the CF=Cmetak in soil/ Cmetal background (Waheshi et al, 2017) metals was calculated as the average of the relative standard deviation of duplicate where Cmetal in soil is the mean content of the measurements. Station effect, species effect substance. The value should be given in and year of sampling effect were ppm, and Cmetal background: is the reference determined using two way analysis variance value of the substance. The contamination (ANOVA) test using R language package factor (CF) represents the contamination of version 3.0.2, the least significant difference isolated elements. was used for multiple comparison at p<0.05 In the soil if Cmetal in soil > Cmetal background level between metal concentration in area we can define the substance as soil and metal content in plant tissue. Given contaminating or enriched, on the contrary that there was no significant (P > 0.05) if Cmetal in soil < Cmetal background, (Waheshi et difference in plant metal concentrations and al, 2017) then the element should not be for metals in soils. characterized as contaminating in this context. It’s very difficult to establish Cmétal RESULTS AND DISCUSSION background values for the sediments/soil of Results of physico-chemical parameters are some studied areas, as a reference. So, in reported in Table 1, where the values are our work Cmétal background value (references expressed as the mean (of the three year of point) has been taken according to sampling (2014, 2015 and 2016) ± S.D. Turekian et al. (1961). In fact, the observations were made at The Igeo compares the measured three stations in the affected area. Acidity concentration of the element in the fine- in technical landfill center of Demina soils grained sediment fraction (C) with ranged between pH 8.19 and 8.21 pH geochemical background value (B) in fossil (mean 8.20). EC ranged from 240.74 to clay and silt sediments. 240.7μs/cm (mean 255.93μs/cm), OM The geoaccumulation factor (Igeo) was ranged between 4.87 and 5.42 % (mean calculated to refer the level of the 5.38), CEC ranged from 36.85 to 38.98 anthropogenic contamination in the soil or ms/eq and total limestone exhibited the substrate, and it is obtained by the considerable variation, it was ranging following equation: between 2.65 and 6.47. The station 3 had maximum EC and OM values with Igeo= log2 [Cmetal in soil]/ 1.5*[Bmetal 270.74µs/cm and 5.85 % respectively. background] Cation exchange capacity values were where 1.5 is correction factor of the similar in all stations with a maximum of background changes resulting of lithogenic 38.98 (meq/100g) recorded in the first effects (Förstner et al., 1993; Aydi, 2015; station and a minimum of 36.85(meq/100g) Waheshi et al, 2017). in station 3. As shown in table 1, total Before each analysis we ensured that the concentrations of Pb in the soil samples materials were washed with the were ringing from 15.43 mg/kg in station 2 dimineralized water, to ensure the quality to 19.01 mg/kg in station 1, while that of we replicated samples for both soil and Zn ranged from 38/53 mg/kg to 45/41 plants, The calibrate of FAAS was doing mg.kg-1, these values were lower than the

815 Boukaka, Kh. and Mayache, B. maximum permissible levels of metals 2012).The concentrations followed the given on soil guidelines (100mg/kg). decreasing trend Zn>Pb>Cd. The Pb and Concentrations of Cd in soil samples Cd concentrations were statistically ranged from 1/57 mg.kg-1 in the first station different between the three stations (2-way to 2/61 mg/kg in the third station, the levels ANOVA; P<0.05) (p=0.03 for Pb and of Cd were higher than recommended p=0.02 for Cd). No significant differences concentrations for uncontaminated soil were observed between Zn concentrations which is 0.5 mg/kg (Weldegebriel et al., in soil of the three stations (p>0.05).

Table 1. Physico-chemical properties and average metal concentration (mg/kg) in study area soil CEC Total metal (mg/kg) Station pH EC (µS/cm) OM% TC (%) (ms/eq) Pb Cd Zn S1 8.21±0.19 256.37±67.87 5.42±2.35 38.98±4.82 5.38±4.02 19.01±8.25 1.57±0.82 38.53±15 .87 S2 8.21±0.26 240.7±41.94 4.87±2.76 37.05±7.36 6.47±5.16 15.43±3.44 2.46±1.46 45.41±14.46 S3 8.19±0.16 270.74±36.82 5.85±2.9 36.85±2.12 2.65±1.65 18.1±7.22 2.61±1.28 39.65±2.3

Table 2.The means concentration of metals in plants during the three years; 2014, 2015 and 2016. Species Station Part of plant Pb (mg/kg) Cd (mg/kg) Zn (mg/kg) Ditrichia viscosa Roots 6.69±5.96 3.01±1.41 47.32±32.02 S1 Aboveground parts 9.25±8.73 2.51±1.53 53.55±8.98 Roots 10.88±10.68 2.82±1.57 29.83±15.08 S2 Aboveground parts 5.15±3.52 2.51±1.59 50.58±10.25 Roots 8.58±13.57 2.97±1.53 35.13±19.08 S3 Aboveground parts 4.54±3.07 2.32±1.97 45.28±9.45 Juncus effusus Roots 3.47±2.06 3.69±2.2 23.45±6.21 S1 Aboveground parts 7.37±4.15 2.02±0.5 36.04±10.08 Roots 10.25±9.56 1.94±1.17 63.15±36.49 S2 Aboveground parts 10.97±8.76 3.07±1.42 31.54±13.64 Roots 6.14±2.88 4.14±2.92 21.46±8.42 S3 Aboveground parts 6±4.36 2.93±1.43 46.38±20.16 Solanum nigrum Roots 12.03±10.63 2.04±1.48 34.08±17.41 S1 Aboveground parts 7.06±3.64 2.83±1.64 62.75±15.29 Roots 5.59±2.1 1.52±1.17 31.69±5.37 S2 Aboveground parts 8.26±4.33 2.41±1.51 56.21±19.56 Roots 7.11±6.12 2.55±1.38 35.16±21.88 S3 Aboveground parts 13.39±10.4 3.15±1.6 61.04±22.78

Table 2 shows metal content in plant values were ranged from 29.83 mg/kg to tissue at the three sampling stations. 47.32 mg/kg in roots and from 45.28 Ditrichia viscosa: Pb concentrations in mg/kg to 53.55ppm in aboveground parts roots were ranged from 6.69 mg/kg (Table 2). recorded in the first station to 10.88 mg/kg Juncus effusus: Pb values were ranged recorded in the second station and ranged from 3.47 mg/kg to 10.25 mg/kg in roots from 4.54 mg/kg to 9.25 mg.kg-1recorded and from 6 mg/kg and 10.97 mg/kg in in aboveground parts, Cd concentrations aboveground parts; Cd concentrations were ranged from 2.82 mg/kg to 3.01 were ranged from 1.94 mg/kg to 4.14 mg.kg in roots and from 2.32 mg.kg to mg/kg in roots and from 2.02 mg/kg to 2.51 mg.kg in aboveground parts while Zn 3.07 mg/kg in aboveground parts; Zn

816 Pollution, 6(4): 811-826, Autumn 2020 values were ranged from 21.46 mg/kg to parts. Analysis of the parts of plants lead 63.15 mg/kg in roots and from 31.54 concentrations showed that no significant mg/kg to 46.38 mg/kg in aboveground differences between the parts of plants parts (Table 2). neither the three species in the three years Solanum nigrum: Pb concentrations of sampling ( ANOVA, p>0.05). Cd were ranged from 5.59 mg/kg to 12.03 concentrations varied between species; in mg/kg in roots and from 7.06 mg/kg to Solanum nigrum the highest concentrations 13.39 mg/kg in aboveground parts; Cd of Cd were recorded in the aboveground concentrations were ranged from 1.52 parts. Whereas in Ditrichia viscosa and mg/kg to 2.55 mg/kg in roots and from Juncus effusus, higher concentrations were 2.41 mg/kg to 3.15 mg/kg in aboveground recorded in roots (table 2). Zn parts and Zn concentrations were ranged concentrations were ranged between 21.46 from 31.69 mg/kg to 35.16 mg/kg in roots and 63.15 mg/kg, they were increasing and from 56.21 mg/kg to 62.75 mg/kg in from aboveground parts towards roots aboveground parts (Table 2). (aboveground parts >roots). Similar trends In a general way, metal concentrations in Zn accumulation between the three varied according to the metal, the plant species were recorded, no significant species and to the sampling station. differences were found between the parts Whereas lead concentrations in the root are of plants neither the three species in the higher than those in the aboveground parts three years of sampling (p>0.05). in Ditrichia viscosa at the second and at To evaluate the capability of plant the third station. On the contrary, in Juncus species to extract and accumulate metal in effusus and Solanum nigrum the highest the plant, the BCF was calculated and it concentrations of lead were recorded in the represents the capacity of a plant species to aboveground parts which underline the remove a metal from soil or sediments and important dynamics of lead towards aerial accumulate it in its tissues.

Table 3. Bio-Concentration Factor (BCF) for Ditrichia viscosa, Juncus effusus and Solanum nigrum BCF Pb Cd Zn 2014 1.03 1.46 2.05 Detrichia viscosa 2015 2.16 0.82 1.09 2016 1.67 1.21 3.12 Average of BCF 1.62 1.16 2.09 2014 3.34 0.88 1.32 Juncus effusus 2015 3.57 0.90 1.64 2016 1.04 1.13 1.74 Average of BCF 2.65 0.97 1.57 2014 2.20 5.05 3.12 Solanum nigrum 2015 1.38 1.31 1.41 2016 1.02 0.77 2.61 Average of BCF 1.54 2.37 2.38

Ditrichia viscosa: for Pb, BCFs are and the medium was 2.09. So the BCFs of ranged from 1.03 in the year of 2014 to Ditrichia viscosa are in order of

2.16 in 2015 and medium of 1.62. For the BCFZn BCFPb BCFCd. Cd, the minimum of BCF was 0.82 in the Juncus effusus: for the lead, the BCFs year of 2015 and the maximum was 1.46 in were ranged from 1.04 in 2016 to 3.57 in the year of 2014 and the medium was 1.16. 2015 and medium were 2.65. For the For the Zinc, the BCFs are ranged between cadmium, these values were ranged 1.09 in 2015 and 3.12 in the year of 2016 between 0.88 in 2014 and 1.13 in the year

817 Boukaka, Kh. and Mayache, B. of 2016, the medium was 0.97. For the zinc, According to the table 4, the TFs values the BCFs were ranged from 1.32 in 2014 ranged from 0.72 and 1.78 and averaged and 1.74 in 2016 and the medium was 1.57. 1.25. The lowest TF value found in Solanum nigrum: for Pb the BCFs were Detrichia viscosa for Pb (0.72), while the ranged from 1.02 in the year of 2016 to 2.20 highest was found in Solanum nigrum for in the year of 2014 and the medium was Zn. 1.54. For the Cd, these values were ranged The results shown in the table 4 indicate from 0.77 in 2016 to 5.05 in 2014 and that Detrichia viscosa can translocate the medium was 2.37. For the Zn, the BCFs zinc more than cadmium and lead, while were ranged between 1.41 in 2015 to 3.12 in Juncus effusus can translocate lead and 2014 and the medium factor was 2.38. zinc more than cadmium, but Solanum The values of translocation factor are nigrum can translocate the three of the presented in the Table 4. metals into their aboveground parts. Table 4. Translocation factors (TFs) of the three species studied; Ditrichia viscosa, Juncus effusus and Solanum nigrum for the three metals analyzed; lead (Pb), Cadmium (Cd) and Zinc (Zn). Species TF (Pb) TF(Cd) TF(Zn) Detrichia viscosa 0.72 0.83 1.33 Juncus effusus 1.22 0.82 1.05 Solanum nigrum 1.16 1.37 1.78

Table 5. Contamination factor (CF), Geo-accumulation index (Igeo) of technical landfill Demina center, soils, Algeria. Pb Cd Zn Soil sample 19.72 2.56 43.19 Background values 20 0.3 95 CF 0.98 8.53 0.45 Igeo -0.60 2.5 -1.722 all the values are in mg/kg Background values according to Turekian et al 1961.

The results of the CF values of heavy contamination and compare different metals are given in Table 5, on the average metals that appear in different ranges of the CF values ranged from 0.45 of zinc to concentration in the study areas (Hassaan 8.53 for the cadmium. Waheshi et al, (2017), et al., 2016). suggest the following terminology to The Igeo allows also the assessment of describe uniformly the contamination factor; contamination by comparing current and CF< 1 we have low contamination factor pre-industrial concentrations (Loska et al. (indicating low sediment contamination of 2004). This method was originally used the substance in question), 1≤CF<3 moderate with bottom sediments by Muller (1969). contamination factor, 3≤CF<6 significant Than it has been applied by many contamination factors and if CF≥6 a very researchers Bakan & Balkas, (1999); Singh high contamination factor. According to this & Hasnain, (1999) and Zhang et al., (2007) classification, the study area may be to distinguish heavy metal levels in soils or practically unpolluted with Zn and Pb (CF; sediments in anthropized areas from 0.45 and 0.98 successively) and very natural background levels in soils or contaminated with Cd (CF; 8.53). equivalent sediments. However, this index Geoaccumulation factor was used to depends on the appropriate natural quantify the degree of anthropogenic background value. Since there are no

818 Pollution, 6(4): 811-826, Autumn 2020 geochemical background values for the (2006) was also used as a reference for study area, the average crust values used to estimating the extent of metal pollution. calculate this index are those of Turekian et The Igeo values are registered in table 5, al (1961). It can also be applied to the they are ranged from -1.72 for the Zn to 2.5 evaluation of soil contamination for the Cd, according to Oumar et al, (Benhaddya & Hadjel, 2014). The Igeo (2014) and Aydi, (2015) the Index of introduced by Gonzáles-Macías et al. Geoaccumulation consists of 7 grades: Table 6. the different classes of Igeo according to Oumar et al, (2014) and Aydi, (2015). classe of Igeo value of Igeo index of Igeo 0 ≤0 uncontaminated 1 0

According to our results, the Igeo values Table 1 depicts the results of the indicate that the soil is uncontaminated physicochemical analysis of the landfill with lead (Igeo=-0.60) and zinc (Igeo= - soil. The physical and chemical of soil are 1.42), are less than zero, suggesting that directly dependent on its pH value the area is not polluted by these metals but (Chatzistathis et al., 2015). Our results it is moderately to heavily contaminated indicate that the values of pH of the soil are with cadmium (Igeo=2.5) along the study ranged between 8.19 and 8.21 which made area. In conclusion, the heavy metals landfill soil slightly alkaline, this is may be examined in the soils of the study area the result of partial ionization of acids showed variations in concentrations due to present in the soil (Aydi et al., 2015). Also the temporal variations in the distribution the nature of wastes which can be rich in of metals. various forms of calcium leads to a The differences could be attributed to soil decrease in the acidity of the surface layer characteristics and land inputs due to of the soil on which they were stored and variations in urban waste. an alkaline soil generally has low The landfills, considered to be posing a permeability to water and a high pH. threat to human health through pollution of According Jamali et al., (2005), the the air, soil and groundwater. Many studies mobility and leaching of toxic metals show evidence of seriousness of hazards increases, and their mobility and caused by landfills (Gworek et al. 2016; availability decreases as the pH approaches Koda et al. 2016). The bioavailibity of neutral or rises above 7. heavy metals is controlled by several There is well-documented evidence that factors and the quality of the soil is one of the pH influences the transformation of the most important of them. organic matter in the soil (Tonon et al. Soil pH plays a major function in the 2010). Significantly higher pH values were sorption of heavy metals as it directly found in landfill soils, which could be due controls the solubility and hydrolysis of to the decomposition of organic waste metal hydroxides, carbonates and (Breza-Boruta et al., 2016). According to phosphates. It also influences ion - pair Wang et al., (2013), the kind of the matter formation, solubility of organic matter, as accumulated and the processes of its well as surface charge of certain decomposition can contribute to the change (Tokalioglu et al.,2006). in the soil reaction.

819 Boukaka, Kh. and Mayache, B.

Soil electrical conductivity (EC) retained on soil particle surfaces. This measures the ability of soil water to carry parameter particularly measures the ability electrical current. It’s an effective way to of soils to allow for easy exchange of map soil texture because smaller soil cations between its surface and solution particles such as clay conduct more current (Wuana et al., 2010). CEC indicates the than larger silt and sand particles. In our amount and type of clay in soils, as well as study, high levels recorded of EC values how much organic matter a soil contains. It are due to the different ions in the soil is linked to the clay-humic complex. The solution. The EC of solutions is primarily value of the CEC of a soil is therefore a affected by the ionic concentration, thus function of the quantities of clay and OM the proportion of landfill leachate. which it contains, but also of the nature of According (Corwin& Lesch, 2005) EC is these elements and of the pH of the soil. an electrolytic process that takes place The landfill soil had low OM content principally through water-filled pores, (about 5% on average) and high values of cations (Ca2+, Mg2+, K+, Na+, and NH4+) CEC (> of 36 meq/100g) indicate that the and anions (SO42-, Cl-, NO3-, and HCO3-) soil is clay-like. The relatively high levels from salts dissolved in soil water carry of clay and CEC indicate the low electrical charges and conduct the electrical permeability, hence low leach ability of current. Consequently, the concentration of heavy metals in the soil. ions determines the EC of soils. These ions Usually, Organic matter (OM) are produced naturally by the biological composition it is a dynamic system so is degradation of organic matter present in varied and continues to change. This wastes or soils. In agriculture EC has been dynamic property results in different used principally as a measure of soil processes such as dissolution of minerals, salinity (table xx). EC is expressed in deci the dissolution of lead in contaminated Siemens per meter (dS/m). landfill soils is obviously facilitated by With respect to soil EC measurements, dissolved organic matter and the presence the latter were compared to the standard of organic matters will further affect some soil salinity and the results obtained basic properties of the soil such as the CEC confirm that the CET soil is Strongly (LO et al., 1991). It is evident that organic Saline. matter and CEC played important roles on soil adsorption and OM was highly Table 7. Classes of salinity and EC (1 dS/m = 1 correlated with cation exchange capacity mmhos/cm; adapted from National Soil Survey (Ramos et al., 2018). With respect to Handbook, NRCS, 1993) organic matters (OM) measurements, the EC Salinity class latter were used to designate the landfill (dS/m) soil according to the standards reported by < 2 Non-Saline 2 < 4 Very Slightly Saline Normandy agronomic laboratory. 4 < 8 Slightly Saline According to these standards, the OM 8 <16 Moderately Saline contents observed in the three station are ≥ 16 Strongly Saline soil moderately provided with MO (20‰

820 Pollution, 6(4): 811-826, Autumn 2020 in progressive acidification, more or less (Chandra Kisku et al ;2011) and the rapid which is dependent on the soil characteristics of the selected plants which pedoclimatic factors. The average must have a high aboveground biomass limestone contents recorded for the landfill production, a fast growth, widely distribute, soils were less than 5%, which is indicative tolerate to the toxic effects of heavy metals of their slightly calcareous character which (Michael et al., 2008; Saifullah et al ., 2009; can be explain their neutral character. This Zuzanna et al ., 2015) and the number of character has been confirmed by the metal hyperaccumulators which respond to adopted standards of the Normandy these conditions is still growing (Sreve et agronomic laboratory (CaCO3T ≤ 5%, non- al., 2003)., , calcary) and (slightly calcareous; In the present study, the age of 5

821 Boukaka, Kh. and Mayache, B. phytoextraction capacity when the value of to the climate characteristics BCF is greater than 1, and according to (precipitation), to the properties of the Rana et al., 2018, the plant species were metals (absorption and bio-availibity), to recommended for phytoextraction operation the background concentrations of each if they have BCFs and TFs more than one, metal and to the physico-chemical and they were recommended for properties of soil and its effects on the phytostabilisation if they have BCFs bigger metals behavior in the soil. than one and TFs lower than one. The present study indicates that: CONCLUSION Ditrichia viscosa: was recommended for Among the several factors that influence the phytoextraction operation of Zinc phytoextraction efficiency of a toxic element (BCF=2.09) and TF=1.33>1) and from polluted soils (e.g., soils of landfill recommended for phytostabilisation centers, mining and industrial sites, operation of both lead (BCF=1.62; TF=0.72) metalliferous soils), the selection of plants and cadmium (BCF=1.161 and TF=0.83). that have ability to remove effectively metals Juncus effusus: was recommended for from soil and accumulate in their tissues. The phytoextraction operation of both lead best criteria for selection of plant species for (BCF=2.65; TF=1.22>1) and zinc phytoremediation are the BCF and TF. The (BCF=1.57; TF=1.05>1). Ullah et al., results presented in this paper indicated the (2011), found that Juncus effusus L can great potential of the three species to extract survive under Cd stress without any efficiently the three heavy metals from soils symptoms of phytotoxicity. (BCFs>1). This study indicates also that Solanum nigrum: is recommended for Solanum nigrum can translocate the three phytoextraction of the three metals; lead studied metals from their roots into their (BCF=1.54; TF=1.16), Cadmium aboveground parts (TF> 1). For these (BCF=2.37; TF=1.37) and Zinc (BCF=2.38; reasons we can conclude that: the Solanum TF=1.78). nigrum is recommended for the Landfill center soil has a low phytoextraction operation, Ditrichia viscosa contamination factor with lead (CF=0.98) is recommended for the phytoextraction of and zinc (CF=0.45) but it has a very high zinc (BCF>1 and for phytostabilisation of the contamination factor with cadmium both of cadmium and lead and Juncus effusus (CF=8.53), those results are confirmed is recommended for phytoextraction with the results of Igeo which showed that operation of lead and zinc because of its the soil is uncontaminated with the lead ability to accumulate and transfer them from (Igeo=-0.60) and zinc (Igeo=-1.42) and soil to aboveground parts. these elements are practically unchanged by anthropogenic influences while it is ACKNOWLEDGMENTS The authors would like to thank: the moderately to heavily contaminated with faculty of Natural and life sciences, cadmium (Igeo=2.5). This dangerous metal pharmacology and phytochemistry may be derived from urban waste. Our laboratory and the laboratory of results agree with those obtained by Aydi, Biotechnology, environment and health of (2015) who considered that his studied soil the University of Mohammed Seddik Ben was uncontaminated with Zn and Pb but Yahia, Jijel for all their cooperation and uncontaminated to contaminated with Cd their support to realize this work. based on the values of Igeo, All those variations in factors values GRANT SUPPORT DETAILS may be the result of the nature and Our present research did not receive any variation of wastes dispose on the landfill, financial support.

822 Pollution, 6(4): 811-826, Autumn 2020

CONFLICT OF INTEREST Carmo, D.L.D,Lima, L.B.D. and Silva, C.A.(2016). The authors of this research declare that Soil Fertility and Electrical Conductivity Affected there is not any conflict of interests by Organic Waste Rates and Nutrient Inputs. Rev .Bras. Cienc .Solo., 40;150-152. regarding the publication of this manuscript. In addition, the ethical issues, Centofanti, T. (2014). Chapter:environmental including plagiarism, informed consent, sustainability. (in T.Centofanti.Phytoextraction of traces metals: principles and applications), Springer misconduct, data fabrication and/or India. falsification, has been observed by the Chandra Kisku, G., Pandey, P., Pratap, M., Negi, S. authors and the article has not been and Misra, V. (2011). Uptake and accumulation of published in anywhere in the world. potentially toxic metals (Zn, Cu and Pb) in soils and plants of Durgapur industrial belt. J. Environ. LIFE SCIENCE REPORTING Biol.,32;831-838. No life science threat was practiced in this Chaplygin, V., Minkina, T., Mandzhieva, S., research Burachevskaya, M., Sushkova, S., Poluektov, E., Antonenko, E and Kumacheva, V. (2018). The REFERENCES effect of technogenic emissions on the heavy metals Adamcová, D., Vaverková, M.D., Bartoň, S., accumulation by herbaceous plants. Havlícek, Z. and Břoušková, E. (2016). Soil Environ.Monit.Assess.,190- 124. contamination in landfills: a case study of a landfill Chatzistathis, T., Alifragis, D. and Papaioannou, A. in Czech Republic. Solid Earth., 7;239–247. (2015).The influence of liming on soil chemical Aydi, A. (2015). Assessment of heavy metal properties and on the alleviation of manganese and contamination risk in soils of landfill of Bizerte copper toxicity in Juglansregia Robinia (Tunisia) with a focus on application of pollution. pseudoacacia, Eucalyptussp. And Populussp. Environ.Earth.Sci, 4332-8. Plantations.J.Environ.Manag., 150; 149–156. Bakan, G. and Balkas, T.I. (1999). Enrichment of Chehregani, A., Nouri, M. and Lariyazdi, H. (2009). metals in the surface sediments of Sapanca Phytoremediation of heavy- metal-polluted soils: Lake.WaterEnvironmentResearch, 71;71-74. screening of new accumulator plants in Angouran mine (Iran) and evaluation of removal ability. Belabed, S. (2018). Contribution à l’Etude de la Ecotox. Environ .Saf., 72, (5) ;1349. Pollution Métallique du Sol et de la Végétation au Niveau des Décharges publiques non Contrôlées à Clément, M and Pieltain, F. (2003). Les analyses Mostaganem. Thèse de Doctorat en Sciences, chimiques du sol, Tec et Doc Lavoisier. Université Abdelhamid Ibn Badis Mostaganem, Corwin, D. L and Lesch, S. M. (2005). Apparent Algeria. soil electrical conductivity measurements in Belabed, S., BrahimLotmani, B. and Romane, A. agriculture. Comput.Elect.Agric.,46 (1-3);11–43. (2014). Assessment of metal pollution in soil and in Fernández, S., Poschenrieder, C., Marcenò, C., vegetation near the wild garbage dumps at Gallego, JR., Jiménez-Gámez, D., Bueno, A and Mostaganem region. J. Mater. Environ. Sci. 5., (5); Afif, E. (2017). Phytoremediation capability of 1551-1556. native plant species living on Pb-Zn and Hg-As Benhaddya & Hadjel. (2014).Spatial distribution mining wastes in the Cantabrian range, north of and contamination assessment of heavy metals in Spain. J. Geochem.Explor.,174;10-20. surface soils of HassiMessaoud, Algeria. Environ Fernández, S ., Poschenrieder, C ., Marcenò, C ., .Earth .Sci., 71;1473–1486. Gallego,J.R ., Jiménez-Gámez ., Bueno, A .and Afif Bialowiec, A. and Randerson, P. F. (2010). ,E. (2016). Phytoremediation capability of native Phytotoxicity of landfill leachate on willow – plant species living on Pb‐Zn and Hg‐As mining SalixamygdalinaL.Waste Management., 30;1587– wastes in the Cantabrian range, north of Spain. J. 1593. Geoch.Expl. Breza-Boruta, B., Lemanowicz, J. and Bartkowiak, Forján, R., Rodríguez-Vila, A., Cerqueira, B., F and A. (2016). Variation in biological and Covelo, E. (2018). Effects of compost and physicochemical parameters of the soil affected by technosol amendments on metal concentrations in a uncontrolled landfill sites. Environ.Earth mine soil planted with Brassica juncea L. Sci.,75;201. Environ.Sci.Pol.Res ., 25; 19713–19727.

823 Boukaka, Kh. and Mayache, B.

Förstner, U., Ahlf, W and Calmono, W. (1993). fungal diversity in the cadmium hyperaccumulator Sediment quality objectives and criteria development Solanum nigrum L. and their role in enhancing in Germany. Wat.Sci.Tech.,28; 307-16. phytoremediation.Environ.Exp.Botany. Foufou, A., Djorfia, S., Haiedb, N., Kechiched, R., Khan, K.S., Lone, M.I and Huang, C.Y. (1999). Azlaouib, M. and Hani, A. (2017). Water pollution Influence of Cadmium and Zinc on the growth and diagnosis and risk assessment of WadiZied plain metal content in Ryegrass. Pakistan.j.boil.sci., aquifer caused by the leachates of Annaba landfill 2(1);83-87. (N-E Algeria).Ener.Proc., 119;393-406. Koda, E., Sieczka, A. and Osiński, P. (2016). Gonzáles-Macías, C., Schifter, I., Lluch-Cota, D.B. Ammonium Concentration and Migration in Méndez-Rodríguez, L, Hernández and Vázquez, S. Groundwater in the Vicinity of Waste Management (2006). Distribution, enrichment and accumulation Site Located in the Neighborhood of Protected of heavy metals in coastal sediments of Salina Cruz Areas of Warsaw, Poland. Bay, Mexico. Environ.Monit.Assess., 118; 211– Sustainability.,8(11);1253. 230. Konkolewska,A., Piechalak, A., Ciszewska,L., Gworek, B., Dmuchowski, W., Koda, E., Marecka, Antos-Krzemińska,N., Skrzypczak,T., Hanć,A., M., Baczewska, A.H., Brągoszewska, P., Sieczka, Sitko,K., Małkowski,E., Barałkiewicz, D. and A and Osiński, P. (2016).Impact of the Municipal Małecka, A. (2020). Combined use of companion Solid Waste Łubna Landfill on Environmental planting and PGPR for the assisted phytoextraction Pollution by Heavy Metals. Water., 8(10)470. of trace metals (Zn, Pb, Cd). Envi.Sci.Pol.Res, 27 ;13809–13825. Hassaan, M.A., El Nemr, A., Fedekar, F and Madkour. (2016). Environmental Assessment of Koopmans, G., Romkens, P. and Fokkema, M.J. Heavy Metal Pollution and Human Health Risk. (2008). Feasibility of phytoextraction to remediate American J.Water Sc.Eng., 2 (3)14-19. cadmium and zinc contaminated soils. Environ.Pol., 156;905–914. Hassani, A.H., Nouri, J., Mehregan, I., Moattar, F and SadeghiBenis, M.R. (2015). Phytoremediation Kyu Kwon, H. and JIN OH, S. of Soils Contaminated with Heavy Metals Resulting (2015).Phytoremediation by benthic microalgae from Acidic Sludge of Eshtehard Industrial Town (BMA) and light emitting diode (LED) in eutrophic using Native Pasture Plants. J.Environ. and Earth coactalsediments. Ocean science journal, 50, 1, 87-96. Sci., 5(2)2224-3216. Liu, N., Dai, J., Tian, H., He, H. and Zhu, Y. Hoening, M. and Thomas, P. (2012). Préparation (2019). Effect of ethylenediaminetetraacetic acid d’échantillons de l’environnement pour analyse and biochar on Cu accumulation and subcellular minérale. Centre français d’exploitation. partitioning in Amaranthus retroflexus L. Environ.Sci.Pol.Res. Ibne Kamal, A.K., Islam, R., Hassan, M., Ahmed, F., Rahman, M. and Moniruzzaman, M., Lo, K. S. L., Yang, W. F. and Lin, Y. C. (1991). (2016).Bioaccumulation of Trace Metals in Effects of Organic Matter on the Specific Selected Plants within Amin Bazar Landfill Site, Adsorption of Heavy Metals by Soil. Dhaka, Bangladesh. Springer science business Toxi.Environ.Chem., 34;139-153. media. Indicators, Environ Earth Sci. Loska, K., Wiechuła, D., and Korus, I. (2004). Irfan Dar, M.and Ahmed Khan, F. (2015).Roles of Metal contamination of farming soils affected by Brassicaceae in phytoremediation of metals and industry. Environ.Intern., 30(2);159–165. metalloids. Springer International Publishing., 201-215. Mikac N., Cosocic B., Ahel M., Andreis S. and Jamali, M. K., Kazi T. G., Arain M. B., Afridi H. I., Toncic, Z. (1998). Assessement of groundwater of Jalbani N., and Adil R. S. (2005). The correlation of municipal solidwaste landfill (Zagreb, Croatia). total and extractable heavy metals from soil and Wat. Sci. Tech., 37(8);37-44. domestic sewage sludge and their transfer to maize Min Lim, J., Salido, A. and Butcher, D. (2004). (Zeamays L.) plants. Toxi.Environ.Chemi., 88( Phytoremediation of lead using Indian mustard 4);619–632. (Brassica juncea) with EDTA and electrodics. Kabata-Pendias, A and Pendias, H., (1992). Trace Microch.J.,76; 3–9. elements in soils and plants, CRC press, Boca Mouhoun-Chouaki, S., Derridj, A., Tazdaït, D. and Raton. FL.,365. Rym Salah-Tazda, R. (2019). A Study of the Impact Khan, A., Waqas, M., Ullah, I., Khan, A.L., Khan, of Municipal Solid Waste on Some Soil M.A., Lee, I and Shin, J. (2016).Culturableendophytic Physicochemical Properties: The Case of the

824 Pollution, 6(4): 811-826, Autumn 2020

Landfill of Ain-El-Hammam Municipality, Algeria. basin, east coast of India.Enviro.Geol., 37(1-2);124- Ap.Environ.S.Sci., 1-8. 136. Muller, G. (1969). Index of geoaccumulation in Singh, S., Raju, J and Nazneen, S. (2015). sediments of the Rhine River. Geojournal.,2;108– Environmental risk of heavy metal pollution and 18. contamination sources using multivariate analysis in the soil of Varahasi environs, India. Nyika J. M., Onyari E. K., Dinka M. O. and Mishra, Environ.Mon..Asst., 187(6);4577. S. B. (2019). Heavy Metal Pollution and Mobility in Soils within a Landfill Vicinity: A South African Sreve, P.M and Fang-Jie, Z. (2003).Phytoextraction Case Study. Orient. J. Chem.,35( 4 );1286-1296. of metals and metalloids from contaminated soils. Environ.biotec., 14;277–282. Oumar, B., Ekengele, N.L and Balla, O.A.D. (2014).Évaluation du niveau de pollution par les Sri Lakshmisunitha, M., Prashant, S., Anil kumar, S., métaux lourds des lacs Bini et Dang, Région de Rao, S., Lakshminarasu, M and Kavikishor, P.B. l’Adamaoua, Cameroun. Afrique.sci., 10( 2) ; 184 (2013). Cellular and molecular mechanisms of heavy – 198. metal tolerance in plants: a brief overview of transgenic plants over expressing phytochelatin Ramanlal,D.B., Kumar,R.N., Kumar,N.and synthase and Metallothionein genes. Plant cell Thakkar,R.(2020). Assessing potential of weeds biotechnology and molecular biology., 14 (1-2); 33- (Acalypha indica and Amaranthus viridis) in 48. phytoremediating soil contaminated with heavy metals‑rich effluent.springer.Nat.J, 2; 1063. Srivastava,A.,Chahar,V., Sharma,V., Swain, K.K., Hoyler, F., Murthy,G.S., Scherer, U.W., Rupp,H., Ramos, F.T, Dores, D.C., Eliana, F.G., Weber, Knolle,F., Maekawa, M.,and Schnug, E. (2019). D.S., Oscarlina, L, Daniel, C.B, Campelo José, H., Study of Toxic Elements in River Water and Maia,D.S and João, C. (2018). Soil organic matter Wetland Using Water Hyacinth doubles the cation exchange capacity of tropical soil (Eichhorniacrassipes) as Pollution under no-till farming in Brazil. J.Sci.Food and Monitor.GlobalChallenges., 3;1800087. Agricultur., 1. Swati, G.P., Tanay, D. M., and Thaku, I. S., Rana, V and Kumar Maiti, S. (2018). Metal (2014).In vitro toxicity evaluation of organic extract Accumulation Strategies of Emergent Plants in of landfill soil and its detoxification by indigenous Natural Wetland Ecosystems Contaminated with pyrene-degrading Bacillussp. ISTPY.Int. Coke-Oven Effluent. Bul.Environ.Cont.Toxi., Biodeter.Biodeg, 90; 145–151. 101;55–60. Tabat, M. (2001). Types de traitement des déchets Rebele, F and Lehmann, C. (2011). Phytoextraction solides urbains: évaluation des couts et impacts sur of Cadmium and Phytostabilisation with Mugwort l’environnement.Rev. Energ. Ren., 97-102. (Artemisia vulgaris). Wat. Air .Soil .Pollut., 216, 93-103. Thongchai, A., Meeinkuirt, W., Taeprayoon, P and Pichtel, J. (2019). Soil amendments for cadmium Ross, S. M., 1994. Toxic Metal in Soil-Plant phytostabilization by five marigold cultivars. Systems.Wiley and Sons Ltd. Chichester., 469. Environ.Sci. Pol.Res. Sahnoune, R and Moussaceb, K. (2019). Treatment Tokalioglu, S.; Kartal, S and Gültekin, A.(2006. and remediation by the stabilization/solidification Investigation of heavy-metal uptake by vegetables process based on hydraulic binders of soil growing incontaminated soils using the modified contaminated by heavy metals.Nova BCR sequential extraction method. Int. J. Environ. .Biotechnol.Chim., 18(2);166-178. Anal. Chem., 86(6);417-430. Saifullah, E., Meers, M., Qadir, P., Tack, F.M.G., Tong, Y., Kneer, R and Zhu, Y.(2004). Vacuolar Laing. D and Zia, M.H., (2009). EDTA-assisted Pb compartmentalization: a second-generation phytoextraction. Chemosphere., 74;1279–1291. approach to engineering plants for Sekabira1, K., Oryem–Origa, H., Mutumba, G., phytoremediation. Trends .plant. sci., 9; 1. Kakudidi, E and Basamba, T. A. (2011). Heavy Tonon, G., Sohi, S., Francioso, O., Ferrari, E., metal phytoremediation by Commelinabenghalensis Montecchio, D., Gioacchini, P., Ciavatta, C., (L) and Cynodondactylon (L) growing in Urban Panzacchi, P and Powlson, D.(2010). Effect of soil stream sediments. Intern.J.plant phys. Biochem., pH on the chemical composition of organic matter 3(8); 133-142. in physically separated soil fractions in two Singh, A.K and Hasnain, S.I. (1999). broadleaf woodland sites at Rothamsted, UK. Eur .J Environmental geochemistry of Damodar River .Soil .Sci., 61(6);970–979.

825 Boukaka, Kh. and Mayache, B.

Turekian, K and Wedepohl, K.H. (1961). vegetables grown in soils irrigated with river water Distribution of the Elements in Some Major Units in Addis Ababa, Ethiopia. Ecotox. Environ.Safety., of the Earth's Crust. 57–63. Ullah, N., Ghulam, J., Shafaqat, A., Muhammad, S., Wong, H.Q., Zhao, Q., Zeng, D.H., Hu, Y.L., and Ling, X and Weijun, Z.(2011). Insights into Yu, Z.Y.(2015). Remediation of a magnesium- cadmium induced physiological and ultra-structural contaminated soil by chemical amendments and disorders in Juncus effusus L. and its remediation leaching. Land Degrad. Dev., 26; 613–619. through exogenous citric acid. J. Wuana, R. A., Okieimen, F. E., and Imborvungu, J. Haz.Mat.,186;565–574. A. (2010). Removal of heavy metals from a United States Department of Agriculture. Heavy contaminated soil using organic chelating acids.Int. Metal Soil Contamination, soil quality – urban J. Environ. Sci. Tech., 7(3); 485-496. technical note. (2000). Yanqun, Z., Yuan, L., Schvartz, C., Langlade, L. Vaverková M. D., Zloch J., Radziemska M and and Fan, L. (2004). Accumulation of Pb, Cd, Cu Adamcová D. (2017). Environmental Impact of and Zn in plants and hyperaccumulator choice in Landfill on Soils – The Example of the Czech Lanping lead–zinc mine area, Republic. Polish.J.Soil. Sci., 0079-2985. China.Environ.Intern.,30;567– 576. Vera Tomé, F., Blanco Rodríguez, P and Lozano, Zhang, H. B., Luo, Y. M., Wong, M. H., Zhao, Q. J.C. (2 0 0 8). Elimination of natural uranium and G. and Zhang, G. L. (2007). Defining the 226Ra from contaminated waters by rhizofiltration geochemical baseline: a case study of Hong Kong using Helianthus annuusL. Sci.Tot.Environ., 3 9 3;3 soils. Environ.Geol., 52; 843-851. 5 1 – 3 5 7. Zhang, H., Cui, B., Xiao, R. and Zhao, H. (2010). Waheshi, Y.A.A., El-GammalM.I., Ibrahim, M.S Heavy metals in water, soils and plants in riparian and Okbah, M.A.A. (2017). Distribution and wetlands in Pearl River estuary, south China. Assessment of Heavy Metal Levels Using Procedia environ.sci., 2(5); 1344-1354. Geoaccumulation Index and Pollution Load Index Zhuang, P., Yang, Q.W., Wang, H. B. and Shu, W. in Lake Edku Sediments, Egypt. S. (2007). Phytoextraction of Heavy Metals by Int.J.Envirn.Monit.Analysis., 5, (1);1-8. Eight Plant Species in the Field. Wat.Air .Soil Wang, Y.F., Tang, C.X, Wu, J.J., Liu, X.M., X.U, .Pollut, 184; 235–242. J.M. (2013).Impact of organic matter addition on Zovko, M. and Romić, M., (2011).Soil pH change of paddy soils. J.Soil.Sediment., 13 ; 12– Contamination by Trace Metals: Geochemical 23. Behaviour as an Element of Risk Assessment. Wang, H., Nie, L., Xu, Y., Li, M and Lu, Y. (2018). Earth.Environ.Sci. Traffic-emitted metal status and uptake by Carex Zuzanna, M. and Monica, G. (2015). meyeriana Kunth and Thelypteris palustris var. Phytoremediation and environment factors pubescens Fernald growing in roadside turfy swamp Phytoremediation: Management of Environmental in the Chinghai Mountain area, China. Contaminants. Springer International Publishing Environ.Sci.Pollution Res., 25; 18498–18509. Switzerland., 1; 45. Weldegebriel, Y., Chandravanshi, B and Wondimu, T. (2012). Concentration levels of metals in

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