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Assessment of Metals Concentration in Water, Sediment and Macrophyte Plant Collected from Lake Hawassa, Ethiopia | OMICS International
ISSN: 2161-0525
Journal of Environmental & Analytical Toxicology

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Assessment of Metals Concentration in Water, Sediment and Macrophyte Plant Collected from Lake Hawassa, Ethiopia

Tigist Ashagre Amare*, Girma Tilahun Yimer and Kassaye Balkew Workagegn
Department of Biology, College of Natural and Computation Sciences Hawassa University, P.O. Box 5, Hawassa, Ethiopia
Corresponding Author : Tigist Ashagre Amare
Department of Biology
College of Natural and Computation Sciences
Hawassa University, P.O. Box 5
Hawassa, Ethiopia
Tel: +251911093254
E-mail: [email protected]
Received September 17, 2014; Accepted October 27, 2014; Published October 31, 2014
Citation: Amare TA, Yimer GT, Workagegn KB (2014) Assessment of Metals Concentration in Water, Sediment and Macrophyte plant Collected from Lake Hawassa, Ethiopia. J Environ Anal Toxicol 5:247. doi: 10.4172/2161-0525.1000247
Copyright: © 2014 Amare TA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

This study was aimed to assess the concentration of metals (Hg, Cr, Zn Cd and Pb) in water, sediment, and S. corymbosus macrophyte plant samples collected from six different sites (S1 to S6) of Lake Hawassa. The results revealed that there was significant difference (p<0.05) in metals concentration among different sampling sites as well as within the site. Generally, significantly higher values (p<0.05) of metals concentration were recorded at sites S2, S4 and S5, which received industrial effluents, urban wastes and agrochemicals respectively. and were the most contaminated sites. The concentration of metals both in sediment and macrophyte plant followed similar pattern, viz., Zn>Cr>Pb>Cd>Hg, while the concentration of metals in water followed the order of Zn>Pb>Cr>Cd>Hg. High to very high correlations were recorded within some metal pairs and with some physico-chemical parameters. - Although metals concentration in water and sediment of the lake are generally in non-polluted to moderately polluted range according to international standards based on numerical sediment quality guidelines (SQGs), almost all values at different sampling sites along the shoreline are much higher than the reference site as well as the background metals concentration of the lake. This is a clear indication that Lake Hawassa is exposed to different pollutants from all directions and the problem can easily go out of hand unless a special attention to be properly monitored for better protection of the lake and the surrounding catchment areas is given. as different human activities are increasing around the lake. Therefore, strategies to control point and non-point sources of all over the shorelines should be developed for better protection of the lake as well as the surrounding catchment areas.

Keywords
Lake Hawassa; metals; water; sediment; aquatic macrophyte; SQGs
Introduction
The problems of metal pollution are currently increasing in many Ethiopian Rift Valley Lakes. It is mainly associated with expansion of industrial activities and intensification of agricultural activities. Due to fast growing industries in and around Hawassa city, Lake Hawassa is one of the most exposing lakes to different sources of pollutant [1,2]. Under some environmental conditions, those pollutants including metals could accumulate and get biomagnified through food chain to toxic levels and eventually results in ecological damage [3]. The major factors to increase concentration of pollutants in Lake Hawassa include the Hawassa Textile Factory, Tabor Ceramic Products Share Company, Hawassa Millennium Soft Drink, City Municipality Abattoir, Hawassa ETAB Soap Factory, Flour Factories, Hawassa Referral Hospital and Floriculture Farms. Some of them dispose their solid and liquid wastes directly in to the lake or to shallow (Cheleleka) swamp, which is directly connected to the lake through Tikur Wuha River. Despite of intensive and extensive works that have been done on Lake Hawassa with regard to bacterioplankton [4], phytoplankton [5], zooplanktons [6], and fish [7], little information is documented about metal concentrations related to sediment, water and macrophytes of this lake. In addition, there is limited information on the potential mobility and simulation uptake of important metals form contaminated environments. Therefore, it is necessary to determine the concentration of metals in aquatic macrophytes, as well as in the growing media: water and sediment [8]. Consequently, information pertaining the state of metals in contaminated aquatic systems and their potential risk to aquatic organisms and other terrestrial organisms including human is of paramount importance to formulate and implement sound environment system in metal affected aquatic systems. Therefore, the main objective of this study was to assess the concentration level of selected metals in the water, sediment and aquatic macrophytes of Lake Hawassa.
Materials and Methods
Description of study area and sampling sites
Lake Hawassa is found in the middle of a series of rift valley lakes and located at 6°33’-7°33’N latitude and 38°22’-39°29’E longitude in the southern part of Ethiopia at a distance of 275 km south of Addis Ababa. The lake has one known small tributary namely, Tikur Wuha River that fed the lake from the northeast direction. There is no any known outflow from the lake. Different vegetation types that extend to the lake offshore cover the littoral area of the lake. The lake is also known for commercial fisheries, as it is inhabited by different fish species such as Tilapia, African catfish and Barbus sp. [6,7]. Based on the potential exposure of the lake to different source of agro-industrial and other source of pollutants, six representative sampling sites: (Site-1 (S1): Asama Ber, Site-2 (S2) Tikur Wuha, Site-3 (S3) Green Wood, Site-4 (S4) Amora Gedel, Site-5 (S5) Bete Mengist and Site-6 (S6) Kuyuwata: reference site) were selected (Figure 1).
Water, sediment and macrophyte sampling
Water samples were collected from six selected sites from different locations of each site of the lake at about 10 cm depth of the water column (Figure 1). To remove metal contaminants, the sampling plastic bottles were washed with 10% HNO3 and were rinsed thoroughly with distilled water. Soon after collection, all the samples were acidified by adding a few drops of 10% HNO3. Similarly, sediment samples were collected from different locations of each site using Ekman grab and were placed in polyethylene bags. The macrophyte plant samples were also collected from different location of each site for all study sites. The plant samples were washed with lake water and then with 5% EDTA solution and were rinsed with distilled water before placed in plastic bags. Later, all the samples were packed and labeled carefully and then placed at 4°C [9,10]. Finally, the samples were transported to Ethiopian Environmental Protection Authority EPA laboratory in Addis Ababa for analysis.
Sample digestion
At EPA laboratory, all the sediment and the plant samples were digested separately using aqua-regia and dry-ash methods respectively. In aqua-regia method, 1g of sediment sample from each sample was weighed and was soaked in aqua-regia solution that contains 7.5 mL of 37% HCl and 2.5 mL of 68% HNO3 with a ratio of 3:1. The samples were digested for two hours at 105°C and were cooled. The samples were then diluted with 20 mL of 2 % nitric acid and were filtered by using 0.45 μm filter paper. Similarly, for dry-ash method, 1 g of plant sample from each sample was placed in labeled crucible glass separately. All the crucible glasses were then placed in a muffle furnace and were heated to 450°C until the samples become a white ash. The white ash of the samples was then cooled overnight. To make solutions for all samples 5 mL of 6 mol L-1 of HNO3 was added to the white ash of the samples and then place in the fume hood. Meanwhile, step by step, 5mL of 3 mol L-1 and then 1 mol L-1 of HNO3was added to the solution. The plant samples were then heated in hot plate oven for 30 minutes. The samples were diluted with distilled water to get a total of 50 ml sample solution and were filtered using 0.45 μm filter paper [9-11]. Then, all the samples were ready for analysis.
Data analyses
In this study, some water characterization was performed for selected parameters. Total dissolved substances (TDS), temperature, concentration of dissolved oxygen (DO), hydrogen ion concentration (pH) and electrical conductivity (EC) of lake water were measured using Hydrolab meter, Model “Multi 340I/SET. Organic matter and pH of sediment samples were also analyzed at Addis Ababa EPA laboratory. Metal concentrations such as mercury (Hg), chromium (Cr), zinc (Zn), cadmium (Cd) and lead (Pb) were analyzed for all the three types of samples using Graphite Furnace Atomic Absorption Spectrometry.
Statistical analyses
Statistical analysis was carried out using SPSS Version 13 computer package. One way ANOVA t test was applied to compare the mean concentration of metals at different Sites at p ≤ 0.05. Pearson correlation coefficients were determined to examine the relationship between the levels of elements in water, sediment and aquatic macrophyte plant samples.
Results
Physico-chemical parameters from in-situ measurements
Individual characteristics of some physico-chemical parameters of the lake water and sediment samples are presented in Table 1. With a few exceptions, values recorded at S1 to S5 were generally higher than at S6. Statistical analysis showed that the mean differences of the physicochemical parameters recorded at different sampling sites of the lake water were significantly (P<0.05) different among sites. Sediment samples analysis revealed that the pH and OM values were significantly different. The total pH mean value of the sediment was generally lower than the pH value of lake water. OM in lake sediment at S4 and S2 were significantly higher (P<0.05) and more than threefold of the rest of the sites
Metals concentration in water, sediments and macrophyte plant
The analytical results for concentrations of Hg, Cr, Zn, Cd and Pb were determined in water, sediment and plant samples collected from the six sites are presented in Tables 2-4 respectively. Among all metals in water samples, the Pb was the only metal detected at all sites, while Hg in sites S1, S2 and S4, Cr in site S2, Zn in sites S2 and S3 and Cd in sites S2 and S6. S2 was the only site in which all the analyzed metals were detected.
Similarly, the results showed that the mean difference of metals concentration in sediment samples at all study sites were significantly different (P<0.05). Without any exception, the lowest concentrations of metals were found at S6 (Table 2).
Similarly, the results showed that there was a significant difference (P<0.05) of most metals concentration in plant growing at different sites of the lake. The minima for the concentration of these metals were recorded at S6 (Table 4).
Correlation matrix for intra-and inter-physico-chemical
Correlation matrix for the data was evaluated to determine the level of intra- and inter-physico-chemical correlation and the values was determined. For most parameter pairs, the results showed that there were high positive to negative correlation and even no correlation for some pairs of parameters. The results revealed that the values of vthe parameters in the different samples were significantly (p<0.05) correlated. The products of the correlation coefficient [r] were evaluated as suggested in Norusis [16] as 0-0.3: No correlation; 0.3-0.5: Low correlation; 0.5-0.7: Medium correlation; 0.7-0.9: High correlation; 0.9- 1.0: Very high correlation.
Discussion
Physicochemical characterstics
The present results for pH value of the water and sediment samples collected from Lake Hawassa showed a considerable variation among different study sites. The highest pH values (9.52 ± 0.19) for water sample and for sediment (8.2 ± 0.16) were recorded at S2, while the lowest pH value for water (7.7 ± 0.12) and sediment (6.64 ± 0.08) samples were registered at S1. Except S1 pH values of lake water from S2 to S5 were above 8.5, and these values fell out of the desirable range of pH (6.5-8.5) for drinking water set by WHO, [12] indicating that there is human influences in the lake area. In all cases, the pH values of both water and sediment samples implied that the condition of the lake is alkaline. The responsible factors for the alkaline value of the pH might be agro-industrial activities found in the surrounding areas of the lake. Karpisack et al. [17] suggest that alkalinity of the lake water increases with increasing contaminants from industries and agricultural activities. Therefore, the higher pH levels at S2 and S5 could be due to the impact of Tikur Wuha River that contains different contaminants from different sources of pollutants and intensive agricultural activities respectively. Furthermore, the higher pH value for S3 might be related to the municipal waste produced by Hawassa city that is directly or indirectly released to this site. In line with our result, Zerihun [2] reported that the pH value of Lake Hawassa and its feeders was highly alkaline particularly around the mouth of Tikur Wuha River.
The results of this study also revealed that there was a great variation in DO concentration at different locations of the lake. The highest DO concentration was recorded at S1, while the lowest DO concentration registered at S5. The reason for lower DO concentration is due to the presence of high amount of OM (11.77%) at this site, which has high oxygen-demand for bacterial decomposition [18,19]. In general, the recorded level of DO concentration in the lake water ranged between 5.7 ± 0.17 to 7.6 ± 0.12 mg L-1 and fell within the range values reported by WHO [12]. Generally the DO concentration records at all selected sites were within the guideline values cited by USEPA [10] for the protection of aquatic life [for warm water biota: early life stages =6 mg L-1, other life stages=5.5 mg L-1]. The EC values were also ranged from 603 ±1.73 to 895 ± 2.89 μS/cm K20 during the investigation period. The maximum values 895 ± 2.89 μS/cm K20 was recorded at S2 which may be receiving the agro-industrial wastes from the surrounding environments via Tikur Wuha River as explained by Seyoum et al. [20]. In addition, the higher electrical conductivity observed at S2 could be attributed to the relatively low DO concentration and revealed high negative correlation to each other (temp/DO: r= -0.771). This result is in accordance with the works of Phiri et al. [21] and Okafor [22] who reported that high EC contribute for reduction of DO concentration in the given water bodies.
Similarly, TDS showed great variation and ranged from 507 ± 2.31 at S3 to 681 ±0.58 at S2mg L-1. These values were far below the WHO [12] guideline value prescribed for drinking water (1000 mg L-1). In general, the present results clearly indicated that there was interphysico- chemical association with significant correlation between them in aquatic system. The results clearly indicated that OM, pH and DO concentration had significantly correlated (OM/pH: r=0.589 and OM/DO: r = -0.530 and were consistent with the work of Kar et al. [23]. There are high correlation between most of the concentration of metals analyzed in this study and the physico-chemical parameters such as pH, temperature, EC, DO and OM.
Metals concentrations in water, sediments and s. corymbosus macrophyte
Metal concentrations in water
The analytical result of this study showed that the mean values of metals concentrations in lake water were significantly different among sampling sites (P<0.05). Most of the metals in water samples taken from different sites were not detected. However, S2 was the only site in which all the analyzed metals were detected. Likewise, the lead was the only metal detected at all sites and had the highest with a mean value of 0.013 ± 0.001 mg L-1, while the lowest total metal concentration was Hg with a mean value of 0.00004 ± 0.000002 mg L-1. This result agrees with the work of Teresa and Neff [15]. The author reported that among several metals analyzed in fresh water body, the lowest metal concentration was Hg. It was even not detected in some of the experimental sites. Moreover, our result agrees with the work of Zinabu [1] who reported that Hg and other metals were not detected in this lake. Moreover, with the exception of Pb at S1, all the detected metals concentrations were below the maximum permissible levels (MPL) for drinking water [12,13]. Even though the values were below the acceptable ranges for drinking water, concentration of metals found in this study was higher than the background concentration metal level indicated by Zinabu [1]. Furthermore, with few exceptions (i.e. Zn and Cr), all the detected metal concentrations were above the international mean value of metal concentration found in freshwater [12].
Inter-site comparisons showed that the lowest Hg and Cd concentration were recorded at S2, while the highest concentrations of Zn, Cr and Pb were detected. The existence of two or more metals in a given location might be due to the chemical affinity between them [24]. In accordance with our result pairs of Zn/Cd (r=0.597) had medium positive correlation implying that they have similar sources or phenomenon [23]. Moreover, higher metal concentration at those sites might be related to the higher correlation between those metals and physico-chemical parameters (e.g. pairs of Hg/DO, Hg/TDS, Cr/ OM, Zn/Tem, Zn/TDS, Zn/OM, Cd/pH). The higher values of those physico-chemical parameters contribute for higher concentration of metals as suggested by Igbinosa and Okoh [18] and Okafor and Opuene [22]. This implies that there are potential sources of pollutant to the lake from various directions particularly from the northern side of the lake. Therefore, agro industrial activities around S1 and S2 might be the sources of pollutant as compare to other sites.
Metals concentrations in sediment
The analysis of metals in sediment is used for detection of pollutants that may be either absent or in low concentrations in the water column [25,26]. The concentration of metals from the overlying water to the sediment is dependent on a number of external environmental factors such as pH, EC, the ionic strength of the compound, anthropogenic input, the type and concentration of organic and inorganic ligands and the available surface area for adsorption caused by variation in grain size distribution [27].
Determination of metal elements in lake sediment during drought period revealed that all the analyzed heavy metals were present. In view of the concentration, levels of those studied metals, the highest values were for Zn and Cr at all sites. This may be attributed to the fact that Zn and Cr are the most abundant elements in the earth’s crust as studied on Nile sediment [28]. The concentration levels of Hg, Cd and Pb were low as compared to Zn and Cr. They were found above the background concentration of the same lake [1] with a descending order of Zn>Cr>Pb>Cd>Hg. The above sequence agrees with the findings of Siegel et al. [29] and Ramdan [30] in Lake Manzala, Egypt.
Metals concentrations of Zn, Cr, Cr and Pb from Lake Hawassa sediment as compared to the probable-effects-level (PEL) guidelines for toxic biological effects established and sediment-quality guidelines by USEPA [31], the present results revealed that metals concentration of sediment showed higher than the level of those elements set by the guidelines. Moreover, metals concentrations in the sediment including mercury exceeded the maximum acceptable levels cited by Frances [13]. However, according to MacDonald et al. [14] and Harikumar et al. [32] Lake Hawassa sediment was moderately polluted.
Correlation coefficient "r" is some of the most important statistical tests to evaluate the strength or weakness relationships among physicchemical parameters as well as metal concentrations determined in this study. The results from statistical analysis revealed that water temperature, pH and EC showed strong associations among different physico-chemical parameters including heavy metal concentration. These showed that the important role of water temperature, EC and pH in the concentration of metals in aquatic ecosystem. These results coincide with the findings of Abdo [33] on Ismailia Canal, Egypt and Abdel-Satar [28] on Manzalah Lake, Egypt.
The positive correlation coefficient "r" between pairs for Cr/Zn, Zn/Pb, Hg/Cr, Zn/Cd, Cr/Cd, Hg/Cd, Cd/OM, Cr/pH, Hg/TDS, Zn/ EC, Pb/EC, Cr/OM, Cr/Temp, Zn/OM, Hg/OM, Cr/EC, Hg/pH, Zn/ Temp and Cr/TDS represented the direct relationship between those parameters. Similarly, negative correlation coefficient "r" between elemental pairs of Hg/pH, Cd/pH and OM/DO represented the inverse relationship between those parameters which were consistent with the works of Kar et al. [23] and Nirmal et al. [24]. Generally, most of the physico-chemical parameters had higher correlation coefficient and can contribute for higher concentration of metals in aquatic ecosystems which is inconsistence with the works of Igbinosa and Okoh [18], Okafor and Opuene [22], and Kar et al. [23].
Inter-sites comparison showed that metals concentration varies from site to site so that the highest mean concentration of Zn, Cd and Pb was recorded at S4, whereas the highest Hg and Cr concentration was recorded at S2. In all cases, the lowest metal concentration was observed at reference site (S6). The highest concentration of total metals was generally recorded at the northern sites of the lake than the southeast sites of the lake which agrees with the work of Zinabu [1] in which high concentration of metals was recorded at around Tikur Wuha River. Site variation in metal concentration in this study is probably due to variation of organic matter content, EC and pH of the different sites as mentioned by Freedman [34]. This is because variations in physicochemical values at different sites contribute for the variation of metal concentration. In line with our results, Igbinosa and Okoh [18] and Sekabira et al. [35] reported that the concentration of metals in aquatic ecosystems are highly correlated with physico-chemical parameters as mentioned earlier by different authors. Agrochemical substances that runoff to those sites can cause variation in metal concentration. In accordance with this result, Nabizadeh et al. [36] reported that different runoff could have varieties of contaminants with different concentration and thus, contribute to increase metal concentration of the receiving water bodies.
Metal concentration in aquatic macrophyte
The analysis of metals in some macrophytes permitted to the detection of pollutants that may be either absent or in low concentrations in the water column or low concentration in sediment [17,24,37]. The accumulation of metals from the overlying water and sediment to the macrophyte plant is also dependent on a number of external environmental factors such a pH, EC, the ionic strength, anthropogenic input, the type and concentration of organic and inorganic ligands and the available surface area for adsorption caused by variation in grain size distribution [27]. In S. corymbosus the mean values of concentration of metals were significantly (p<0.05) different among sites. In this plant, the mean value of Zn concentration was the highest, followed by Cr. This result implied that Zn and Cr were the most contaminant metals almost at all study sites. Moreover, the plant has higher uptake for those metals from the sediment in which they are growing. The lowest total metal concentration in plant samples was being Hg. The general order of metal concentration in S. corymbosus was Zn>Cr>Pb>Cd>Hg. This sequence agrees with the findings of Nirmal et al. [24], Siegel et al. [29], Ramdan [30] for different aquatic macrophyte plant species. The concentration of metals also varies at different studying sites. Intersite comparison showed that the highest Hg and Pb concentration was recorded at S5 followed by S2 for Hg and S3 for Pb. The concentration of Hg at sites S3 and S4 had more or less similar. In case of Zn and Cd, the highest concentration was registered at sites S4 and S2, respectively. Furthermore, Zn concentration at sites S3 and S5 was more or less similar. In all cases, the lowest metal concentration in this aquatic plant was recorded at reference site (S6). Moreover, correlation of metals from very high to medium within metals and with physicochemical parameters suggests that some physico-chemical parameters may contribute for high concentration of specific types of metals at a particular site. For instance, the highest metal concentrations at site S2 are might be due to the impact of different physic-chemical parameters.
The correlation for elemental pair such as Hg/Pb, Zn/Cd and Zn/ Pb in this study was consistent with the works of Kar et al. [23] and Nirmal et al. [24] and metal-physico-chemical pairs such as Cr/TDS and Zn/EC were also consistent to the work of Sekabira et al. [35]. Particularly, the correlation of Zn with Pb and Cd in this study was agreed with the work of Okafor and Opuene[22]. The result confirmed that correlations between physico-chemical parameters contribute for high or low concentration of metals in a given medium.
Comparison of metals concentration in water, sediment and macrophyte
Sediment can act as both sink and source of contaminants, whereby long-term input of contaminants can lead to sedimental concentrations that can exceed to increase concentration in water [18,38,39]. However, the process of phytoremediation is the most important biotic factor used in outlining the program of macrophytic role in purification of contaminated sediment and water of aquatic ecosystems [17]. Moreover, aquatic plants can be used as bioindicator of metal pollution in the lake since metals present in water and sediment are slowly accumulated by aquatic plants and thereby concentrated in the plant tissues. The result showed that total concentration of metals found in water was lower than those found in lake sediment and macrophyte plants. Generally, the total concentration of metals in Lake Hawassa followed the order of sediment>macrophyte>water which agrees with the work of Nirmal et al. [24]. Similarly, Lovett-Doust et al. [40] reported that the accumulation level of pollutants in aquatic ecosystems is higher in sediments than in plants if the receiving water body is exposed to different source of contaminants. The sequence of the analyzed total metal concentration found in our result is almost similar with the order of metal concentration (Fe>Mn>Zn>Ni>Cu> Pb>Cr>Cd>Hg) analyzed by Harikumar et al. [32] for different tropical aquatic plant species.
With few exceptions the concentrations of metals were above the standard set for aquatic macrophytes by WHO [12] and Frances [13]. Moreover, the examined sediment can be considered slightly polluted with the analyzed metal elements, since their concentrations were out of the typical range concentrations found in soils/sediment under fresh water bodies [8,31]. This suggests that metal contents in the lake sediments are largely associated with industries, and floriculture and city sewage. According to MacDonald et al. [14] and Perin et al. [41] sediment in Hawassa Lake was moderately polluted by Zn particularly at S4 and non-polluted by the rest of the metals at all sites. Therefore, the present study shows that bio monitoring should be taken in order to prevent further metal pollution. Generally, there are potential sources of pollutants to the lake from various directions particularly from the northern side of the lake. Agro industrial activities around S1 and S2 might be the most potent pollutant sources as compare to other sites. Industrial effluents and non-point pollution sources as well as changes in atmospheric precipitation can lead to local increase in metal concentration of water. In addition, total metal concentration in aquatic ecosystem can reflect the present pollution status of these areas [42].
Conclusion and Recommendation
As compared to S6 (reference site), all sampling sites have higher metals concentration for all the three media: water, sediment and plant samples. Although all sampling sites showed the presence of all the five metals analyzed (Zn, Cr, Pb, Cd, and Hg), the concentration in sediment and macrophyte samples at S2, S4 and S5 have higher than metals concentration at S1 and S3. Metals concentration in most sites followed the order of sediment>S. corymbosus>water. According to international standards based on numerical sediment quality guidelines (SQGs) sediment of Lake Hawassa are generally non-polluted to moderately polluted range. All these are an early signal to take timely measure to maintain the present quality of the lake. Therefore, strategy to control point and non-point sources of all over the shorelines should be developed for better protection of the lake as well as the surrounding catchment areas.
Acknowledgements
The authors would like to thank Ethiopian EPA Staff found at Addis Ababa for their cooperating and facilitating the laboratory analyses, the NUFU project for funding this research. The authors also like to thanks the NUFU project coordinator Dr Elias Dadebo and Dr. Tesfaye Abebe for their facilitating the research facilities during this studying.
References

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