Trace metal and nutrient distribution in an extremely low pH (2.5) river–estuarine system, the Ria of Huelva (South–West Spain)

Elbaz-Poulichet, Françoise; Morley, Nicholas H.; Cruzado, Antonio; Velásquez, Zoila; Achterberg, Eric P.; Braungardt, Charlotte B.

doi:10.1016/s0048-9697(99)00006-6

Cited by 107 publications

(42 citation statements)

References 17 publications

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“…This problem has been largely described by different authors (Borrego 1992;Elbaz-Poulichet et al 1999; Sá inz 1999; Davis et al 2000;Grande et al 2000Grande et al , 2003aGrande et al ,b, 2005aGrande et al ,b, 2009Leblanc et al 2000;Borrego et al 2002;Sá inz et al 2002Sá inz et al , 2003aSá inz et al ,b, 2004Ferná ndez-Remolar et al 2003 Water pollution from mining, which arrived in the Cobica watercourse coming from the Chorrito stream, is produced by mine underground water, waste dump leachate and general washout of all pyrite waste dispersed through the numerous mining operations (Grande et al 2005a). …”

Section: Location and Description Of The Study Areamentioning

confidence: 94%

Model of behaviour of conductivity versus pH in acid mine drainage water, based on fuzzy logic and data mining techniques

Jiménez

Aroba

Torre

et al. 2009

Journal of Hydroinformatics

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Acid Mine Drainage is a water pollution type characterized by several topics such as high acidity, sulfate and heavy metal concentrations. One of the chemical characteristics is the absence of correlation between pH and conductivity, as could be expected. This last parameter is well correlated with other variables such as sulfate concentration and can be used as a field assessment. The absence of pH/conductivity correlation is largely discussed by several authors. In this work, the use of fuzzy logic algorithms in a large temporal database (over 20,000 records) has allowed us to study the "hidden" relation between them. This work finds this correlation, with some conditions such as the range of pH where it happens. Maybe the study of the usual range of pH values in previous studies has disturbed the correlation because of other chemical processes.

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Section: Location and Description Of The Study Areamentioning

confidence: 94%

Model of behaviour of conductivity versus pH in acid mine drainage water, based on fuzzy logic and data mining techniques

Jiménez

Aroba

Torre

et al. 2009

Journal of Hydroinformatics

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“…Nevertheless, sequential chemical extractions are generally preferred, as they provide more information on zinc chemical species as well as on the metal inputs sources. Besides, sequential extractions bring in additional data which could help estimate the fate of metal combinations in different environmental conditions and hence conclude about their bioaccesibility and their toxic effect on environment (Elbaz-Poulichet et al 1999;Galan et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Zinc speciation in sediments from a polluted river, as an estimate of its bioaccesibility

Vasile

Nicolau

Vladescu

2008

Environ Monit Assess

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In the present study, the BCR (Community Bureau of Reference) sequential procedure has been applied to determine the zinc partition in sediments taken from a river situated in the Southwest of Romania, in a region subject of intense mining activities. The sampling was performed during three sampling expeditions, organized in the spring, summer, and autumn, 2007. The zinc concentration in different fractions was normalized, its concentration being related to the concentrations of some metals (such as Al or Fe) that are naturally present in sediments. The zinc-contaminated sediments from the investigated area have been evaluated by means of combining the analysis data from the BCR sequential extraction with the normalization to the Al content. The most important zinc collector in the samples taken during the three sampling expeditions is the easily soluble fraction, next being amorphous iron and manganese hydrated oxides fraction, followed by organic matter fraction.

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“…Due to the acidic to moderately acidic pH measured in the spring waters and the main river after all spring water inputs (site R3), the chemistry of this system is not easily comparable to usual natural water bodies, but rather to effluents similar to acid mine drainage (Elbaz-Poulichet et al, 1999;Butler et al, 2008;Lambert et al, 2004). Such systems exhibit high temporal and spatial variability in chemistry and are generally considered as highly ecotoxic zones.…”

Section: Environmental and Health Considerationsmentioning

confidence: 99%

Distribution and chemical speciation of arsenic and heavy metals in highly contaminated waters used for health care purposes (Srebrenica, Bosnia and Herzegovina)

Lenoble

Omanović

Garnier

et al. 2013

Science of The Total Environment

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To cite this version:Véronique Lenoble, D Omanović, Cédric Garnier, Stéphane Mounier, N Đonlagić, et al.. Distribution and chemical speciation of arsenic and heavy metals in highly contaminated waters used for health care purposes (Srebrenica, Bosnia and Herzegovina). Science of the Total Environment, Elsevier, 2013Elsevier, , 443, pp.420-428. <10.1016Elsevier, /j.scitotenv.2012 H I G H L I G H T S► Acid mine drainage type waters used for decades for healthcare purposes were analysed. ► Extremely high contents of As (up to 6.6 mg/L) and other heavy metals were registered. ► Acidic springs decreased pH of the river from 7.3 to 3.4 in only 1.5 km distance. ► Geochemical modelling revealed dominance of oxidized forms of all elements. Determination of distribution and chemical speciation of arsenic and heavy metals in five acidic springs and in the receiving river near Srebrenica (Bosnia and Herzegovina) was carried out. These waters were used for centuries, and continue to be used, for health-care purposes. The composition and properties of all springs and the river water (after all inputs) resembled that of an acid mine drainage. Very low pH (b 3.3), high sulphate concentration and extremely high contents of most of the measured elements (25) are found in all springs (e.g. arsenic and iron maximal concentration of 6.6 and 500 mg L −1 , respectively). Although of small discharge, spring waters caused the decrease of the receiving river pH (from 7.3 to 3.4) and the considerable increase of the concentrations of elements. The enrichment factor for the studied elements ranged from 1.2 for Sr up to 425 for As. In acidic spring waters, all elements were predominantly present in dissolved form. Elements associated to freshly-formed hydrous ferric oxide were prevailing in particulate forms only at the two most upstream sites in the river with pH > 7. Geochemical speciation modelling (PHREEQC and WHAM-VI) revealed that As was mainly present as As(V), and Fe as Fe(III). Complexation of dissolved metals by organic matter was predicted to be significant only for the two river sites with neutral pH. a b s t r a c t a r t i c l e i n f o

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Trace metal and nutrient distribution in an extremely low pH (2.5) river–estuarine system, the Ria of Huelva (South–West Spain)

Cited by 107 publications

References 17 publications

Model of behaviour of conductivity versus pH in acid mine drainage water, based on fuzzy logic and data mining techniques

Model of behaviour of conductivity versus pH in acid mine drainage water, based on fuzzy logic and data mining techniques

Zinc speciation in sediments from a polluted river, as an estimate of its bioaccesibility

Distribution and chemical speciation of arsenic and heavy metals in highly contaminated waters used for health care purposes (Srebrenica, Bosnia and Herzegovina)

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