Heavy metal distribution in bottom sediments of a Mexican reservoir

Ávila-Pérez, Pedro; García-Aragón, Juan Antonio; Díaz-Delgado, Carlos; Tejeda-Vega, Samuel; Reyes-Gutiérrez, R.

doi:10.1080/14634980290031866

Cited by 6 publications

(3 citation statements)

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“…Without presenting the full correlation and regression A geochemical and statistical approach for assessing heavy metal... results, it should be noted that when the six metals were correlated with the different grain size fractions it was observed that the grain size of the sediments did not have a noticeable pronounced effect on the spatial distribution of heavy metals. One reason for this occurrence could be the fact that the analyzed grain sizes were not in the very fine material range (< 0.063 mm) which numerous investigators (for example, Förstner, et al,1982;Cauwet, 1987;Arujo, et al, 1988;Chakrapani and Subramanian, 1993;Maurer, et al, 1994;De Gregori, et al, 1996;Ujevi, et al, 2000;Zhang, et al, 2001;Avila-Perez, et al, 2002;Che, et al, 2003) found to be associated with the highest concentrations of heavy metals. In addition to correlation and regression analysis, discriminant analysis was used to investigate whether the spatial variations of the various metals along the coast had statistically significant concentrations in specific (i.e., localized) or well-defined geographic areas.…”

Section: Statistical Analysesmentioning

confidence: 99%

A geochemical and statistical approach for assessing heavy metal pollution in sediments from the southern Caspian coast

Parizanganeh

Lakhan

Jalalian

2007

Int. J. Environ. Sci. Technol.

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ABSTRACT:The nearshore marine environment of the Caspian sea is a major repository for toxic metals originating from various sources. Since the persistent toxic metals pose serious health risks this research concentrated on investigating the concentrations and spatial distribution of metals in the nearshore sediments along the Iranian coast of the Caspian sea. Fourteen sampling sites were selected along the coast and approximately 400 g of surficial sediments were obtained. Samples were sieved and three grain size fractions from each sample plus fourteen bulk samples were selected for the analysis of metals. Laboratory analysis of the samples utilized the Cold Acetic protocol, followed by Inductively coupled plasma optical emission spectroscopy. The statistical techniques were used to analyze all obtained data. Linear regression analysis demonstrated that grain size of the sediments was not a major factor controlling the concentrations and spatial distributions of heavy metals. Box and Whisker plots emphasized that metal concentrations were not homogeneously distributed. Discriminant analysis was also proved to be useful in identifying geographic areas where heavy metal concentrations occur along the coast.

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Section: Statistical Analysesmentioning

confidence: 99%

A geochemical and statistical approach for assessing heavy metal pollution in sediments from the southern Caspian coast

Parizanganeh

Lakhan

Jalalian

2007

Int. J. Environ. Sci. Technol.

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“…Without presenting the full correlation and regression results, it should be noted that when the six metals were correlated with the different grain size fractions it was observed that the grain size of the sediments did not have a noticeable pronounced effect on the spatial distribution of heavy metals. One reason for this occurrence could be the fact that the analyzed grain sizes were not in the fine material range (<0.063 mm), which numerous investigators (for example, Förstner et al, 1982;Cauwet, 1987;Arujo et al, 1988;Chakrapani and Subramanian, 1993;Maurer et al, 1994;De Gregori et al, 1996;Ujevi et al, 2000;Zhang et al, 2001;Avila-Perez et al, 2002;Che et al, 2003) found to be associated with the highest concentrations of heavy metals.…”

Section: Statistical Analysesmentioning

confidence: 91%

Contamination of Nearshore Surficial Sediments from the Iranian Coast of the Caspian Sea

Parizanganeh

Lakhan

Jalalian

et al. 2007

Soil and Sediment Contamination: An International Journal

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Concentrations of heavy metals (Al, Cd, Cu, Pb, Ni, Zn) were analyzed from nearshore surficial sediments collected from the alongshore direction of the Iranian coast of the Caspian Sea. The granulometric composition of fourteen samples was determined. Three grain-size fractions (0.355, 0.212 and 0.075 mm) from each sample, plus fourteen bulk samples, were examined for the presence of heavy metals. Laboratory analysis utilized a cold acetic acid extraction procedure, followed by inductively coupled plasma optical emission spectroscopy. Box and Whisker plots demonstrated that metal concentrations were not homogeneously distributed, and there were large spatial variations in the median concentrations of heavy metals at each sample site. The statistical technique of discriminant analysis revealed that the six heavy metals had distinct and statistically significant concentrations at various locations along the coast. Elevated concentration levels reflected metal loadings from anthropogenic sources located in the vicinity of sampled sites.

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“…In the last years, a larger number of environmental studies were started on Lerma River (Avila-Pérez et al [3], Barceló et al [4], Mantilla-Morales et al [5]), in order to better know the conditions and suggest potential solutions. The last studies were interested not only in the conventional parameters (BOD, DO, Solids, etc.)…”

Section: Introductionmentioning

confidence: 99%

Wastewater discharge impact on an important river of the Lerma-Chapala watershed, Mexico

Fall¹,

Hinojosa

Jimenez

et al. 2006

WIT Transactions on Ecology and the Environment, Vol 95

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The Lerma-Chapala watershed is one of the most important hydrological systems of Mexico. The Lerma, the main river of the catchment was subjected to receive increased volumes of untreated wastewaters. The research initiated consisted of producing an inventory and classifying the discharge sites, designing a strategic monitoring network and a computerized database, as well as evaluating the quality of the river water and wastewater received. The results showed 51 discharges throughout the high course of the river (the first 60 km). Discharge sites were localized with a GPS and included on a map and database. A monitoring network of 21 sampling stations was proposed, from which 15 stations were selected to evaluate the water quality of the river, together with other 13 priority discharge sources. The average concentrations measured at the 15 sampling stations of the Lerma, during the wet season, were < 0.5 mg/L O 2 (at most of the sampling point), 149 mg/L COD and 492 mg/L of total solids, against 0.4 mg/L of O 2 , 388 mg/L COD and 2752 mg/L TTS in the dry season. The same septic conditions were observed in many of the discharges. Microtox based toxicity analyses showed that 7 of the 13 evaluated discharges, during the dry whether, compared with 2 during the wet season, were extremely toxic to the Microtox test organism (TU > 5). With respect to the river, 13 of the 15 samples were analyzed in the dry season against 1 of 15 in the wet season, showing very toxic characteristics. The results obtained evidenced the actual state of the river during the dry season, a significant wastewater collector, showing the urgency to implement a sanitation program in the basin and initiate remediation of the watercourse.

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Heavy metal distribution in bottom sediments of a Mexican reservoir

Cited by 6 publications

References 0 publications

A geochemical and statistical approach for assessing heavy metal pollution in sediments from the southern Caspian coast

A geochemical and statistical approach for assessing heavy metal pollution in sediments from the southern Caspian coast

Contamination of Nearshore Surficial Sediments from the Iranian Coast of the Caspian Sea

Wastewater discharge impact on an important river of the Lerma-Chapala watershed, Mexico

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