Fe, Mn, P and S Speciation in Sediments from the Capivara Hydroelectric Dam Lake (Brazil) as an Indicator of Anthropogenic Influences

Barreto, Wagner José; Ishikawa, D.; Scarmínio, Ieda Spacino; Costa, João de Souza; Nora, Paulo dos Santos; Soares, Miriam de Fátima; Nicolau, R.; Gonçalves, Adriana Celeste Esteves; Barreto, Sônia Regina Giancoli

doi:10.1002/clen.200700187

Cited by 8 publications

(9 citation statements)

References 27 publications

(21 reference statements)

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“…It has been proved that sediments entering a dam reservoir contain materials from neighboring geological formations and organic substances from plants and animal remains decomposed in water (Barretoo et al, 2008). The concentration of organic matter increases gradually in dam reservoir.…”

Section: Introductionmentioning

confidence: 99%

Association of trace metals with various sedimentary phases in dam reservoirs

Karbassi

Torabi

Ghazban

et al. 2011

Int. J. Environ. Sci. Technol.

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ABSTRACT:In the present study sediment and water samples collected from Kowsar Dam reservoir in Kohkiluye and Boyerahmad Province, southwest of Iran, are subjected to bulk digestion and chemical partitioning. The concentrations of nickel, lead, zinc, copper, cobalt, cadmium, manganese and iron in water and bed sediment were determined by atomic absorption spectrometry. The concentrations of metals bounded to five sedimentary phases were estimated. On this basis, the proportions of natural and anthropogenic elements were calculated.The anthropogenic portion of elements are as follows: zinc (96 %)> cobalt (88 %)> iron (78 %)> magnesium (78 %)> nickel (78 %)> copper (66 %)> lead (63 %)> cadmium (59 %). The results show sediment contamination by nickel, cadmium and lead, according to the world aquatic sediments and mean earth crust values. Manganese and copper have strong association with organic matter and are of high portion of sulfide bounded ions. Finally, The degree of sediment contamination was evaluated using enrichment factor, geo-accumulation index (Igeo) and pollution index (IPoll). The sediments were identified to be of high cadmium and lead pollution index. The pattern of pollution intensity according to enrichment factor is as follows; manganese (1.25) < copper (1.63) < zinc (1.93) < cobalt (2.35) < nickel (3.83) < lead (12.63) < cadmium (78.32). Cluster analysis was performed in order to assess heavy metal interactions between water and sediment. Accordingly, nickel, cadmium and copper are earth originated. Zinc, copper and manganese are dominated by pH. All the elemental concentrations in water and sediment are correlated except for sedimental copper.

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Section: Introductionmentioning

confidence: 99%

Association of trace metals with various sedimentary phases in dam reservoirs

Karbassi

Torabi

Ghazban

et al. 2011

Int. J. Environ. Sci. Technol.

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“…The TP can be leaching from nutrient-enriched soils and anthropogenic activities. Jose Barreto et al [6] showed phosphorus as indicator of anthropogenic activities for Capivara Hydroelectric Dam Lake in Brazil using PCA technique. The SD is an indicator for water clarity and algal biomass production [42].…”

Section: Principal Component Analysismentioning

confidence: 99%

“…In particular, gradual increment of pH (i.e., 0.581 in 1994 to 0.70 in 1997) may be associated with the changes in water levels and the effect of anthropogenic activities such as agricultural, mining, and industrial. Another multivariate-based water quality study showed that the main anthropogenic activities that affected the lake water were domestic and industrial effluents [6].…”

Section: Principal Component Analysismentioning

confidence: 99%

“…A negative correlation was found for phytoplankton with salinity. Jose Barreto et al [6] analyzed 17 parameters for a hydroelectric reservoir in South Brazil. Multivariate PCA and hierarchical group analysis (HGA) were used to identify the major parameters for differentiating between origin of source water for Tibagi and the Primeiro de Maio River.…”

Section: Introductionmentioning

confidence: 99%

“…These water quality-related parameters are analyzed further using statistical methods in order to develop clusters having similar characteristics [6,7]. The most commonly employed statistical methods are the use of principal component analysis (PCA) and cluster analysis techniques (e.g., K-means, Kmedoid, fuzzy, etc.)…”

Section: Introductionmentioning

confidence: 99%

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A Methodology for Clustering Lakes in Alberta on the basis of Water Quality Parameters

Akbar

Hassan

Achari

2011

CLEAN Soil Air Water

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In this study, a methodology for clustering 18 lakes in Alberta, Canada using the data of 19 water quality parameters for a period of 11 years (1988-2002) is presented. The methods consist of (i) principal component analysis (PCA) to determine the dominant water quality parameters, (ii) cluster analysis techniques to develop the characteristics of the clusters, and (iii) pattern-match lakes to determine the appropriate cluster for each of the lakes. The PCA revealed that three principal components (PCs) were able to explain $88% of the variability and the dominant water quality parameters were total dissolved solids, total phosphorus, and chlorophyll-a. We obtained five clusters for the period 1994-1997 by using the dominant parameters with water quality deteriorating as the cluster number increased from 1 to 5. Upon matching cluster patterns with the entire dataset, it was observed that some of the lakes belonged to the same cluster all the time (e.g., cluster 1 for lakes Elkwater, Gregg, and Jarvis; cluster 3 for Sturgeon; cluster 4 for Moonshine; and cluster 5 for Saskatoon), while others changed with time. This methodology could be applied in other regions of the world to identify the most suitable source waters and prioritize their management. It could be helpful to analyze the natural controlling processes, pollution types, impact of seasonal changes and overall quality of source waters. This methodology could be used for monitoring water bodies in a cost effective and efficient way by sampling only less number of dominant parameters instead of using a large set of parameters.

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Assessment of Heavy Metal Contamination of Wetland Soils from a Typical Aquatic–Terrestrial Ecotone in Haihe River Basin, North China

Xiao

Bai

Wang

et al. 2011

CLEAN Soil Air Water

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Surface soils were collected in the aquatic-terrestrial ecotone (ATE) of Yongnianwa wetland, downstream of Haihe River basin of North China in June of 2007. Samples were subjected to a total digestion technique before they were analyzed for total concentrations of Cr, Cu, Ni, Pb, and Zn to investigate their pollution levels in the ATE. The contamination index, integrated contamination index, geoaccumulation index, toxic units, and sum of toxic units were adopted to assess the heavy metal contamination levels and ecotoxicity, respectively. The results showed all the selected element concentrations in upland soils of the ecotone were relatively higher than those in the lowland soils. No Cr pollution was observed in all soil samples, but almost all samples were slightly polluted by Cu, Ni, Pb, and Zn except for Site 1. The contamination indexes and geoaccumulation indexes consistently presented no contamination for Site 1 and slight contamination for other sites. The STUs increased from lowland to upland, but the whole level of toxicity in this ecotone was relatively low. IntroductionAquatic-terrestrial ecotone (ATE) is an important functional interface zone between the aquatic and terrestrial ecosystems, owing to the protection to water body from harmful impacts of land use practices on the terrestrial ecosystem [1,2]. The soils in these ATEs have been widely researched due to their functions and capacities of retaining nutrients, i.e., carbon, nitrogen, and phosphorous [3][4][5][6]. However, few studies have focused on the ecological functions of ATE in reducing pollution risks of heavy metals from the reclaimed upper wetland to adjacent aquatic ecosystems, especially in a typical water-shortage inland plain [7].Yongnianwa is the third largest lacustrine wetland located in the North China Plain. Large number of lakeshore wetlands has been cultivated in the past decades, which led to some heavy metal (e.g., Cu and Ni) contamination of water body in the lake due to extensive agriculture activities [8]. However, little information is available on spatial variations of soil heavy metal concentrations and contamination levels along the distances far from the farmland and the effect of aquatic-terrestrial buffer zone in water-quality protection and lake management. There appears to be a direct conflict between need for large buffer widths to reduce perimeter/area of buffers for ecologic purposes and the need for small widths to reduce perimeter/ unit area of non-buffer area for economic and agricultural purposes [9][10][11]. Thus, the utility and efficiency of vegetated buffer strips with a certain width need to be detected and studied in order to protect water quality of rivers or lakes. Most researchers have widely used the contamination indexes, integrated contamination index, and geoaccumulation index, etc. to assess heavy metal contamination [12][13][14][15][16]. The primary objectives of this study were (1) to study spatial variations of heavy metal concentrations in wetland soils along the ATE of Yongnianwa wetl...

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Fe, Mn, P and S Speciation in Sediments from the Capivara Hydroelectric Dam Lake (Brazil) as an Indicator of Anthropogenic Influences

Cited by 8 publications

References 27 publications

Association of trace metals with various sedimentary phases in dam reservoirs

Association of trace metals with various sedimentary phases in dam reservoirs

A Methodology for Clustering Lakes in Alberta on the basis of Water Quality Parameters

Assessment of Heavy Metal Contamination of Wetland Soils from a Typical Aquatic–Terrestrial Ecotone in Haihe River Basin, North China

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