A description of how metal pollution occurs in the Tinto–Odiel rias (Huelva-Spain) through the application of cluster analysis

Grande, J. A.; Borrego, J.; González, Juan Antonio Morales; Torre, M. L. de la

doi:10.1016/s0025-326x(02)00452-6

Cited by 74 publications

(36 citation statements)

References 7 publications

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“…Anthropogenic contamination of waterways constitutes a major problem in both developing and developed countries around the world (Barrett et al 1998;Gelberg et al 1999;Tilman et al 2002;Grande et al 2003;Fytianos and Christophoridis 2004;Camargo and Alonso 2006;Chen et al 2006;Nas and Berktay 2006;Chang 2008;Ma et al 2009). Declining surface water quality directly affects human and ecosystem health, which further impacts economic development and social wellbeing.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the monitoring program, the government has established a set of water quality standards to protect waterbodies and guide remediation activities. To fully understand water quality issues, many researchers have successfully investigated the application of multivariate and GIS analyses to address the spatial and temporal variations of water quality in various regions (Grande et al 2003;Mingoti and Lima 2006;Kallioinen et al 2006;Holbrook et al 2006;Singh et al 2006;Astel et al 2007;Shreshtha and Kazama 2007;Zhang et al 2009). Many of these studies have been able to geographically link water quality deterioration with specific human activities, which can then be used to guide remediation efforts.…”

Section: Introductionmentioning

confidence: 99%

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Spatial and temporal variations of nitrogen pollution in Wen-Rui Tang River watershed, Zhejiang, China

Mei

Zhang

et al. 2010

Environ Monit Assess

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Water quality has degraded dramatically in Wen-Rui Tang River watershed, Zhejiang, China, especially due to rapid economic development since 1995. This paper aims to assess spatial and temporal variations of the main pollutants (NH + 4 -N, TN, BOD 5 , COD Mn , DO) of water quality in Wen-Rui Tang River watershed, using the geographic information system, cluster analysis (CA) and principal component analysis (PCA). Results showed that concentrations of BOD 5 , COD Mn , NH + 4 -N, and TN were significantly higher in tertiary rivers than in primary and secondary rivers. From April 2006 to March 2007, the concentrations of NH + 4 -N (2.25-57.9 mg/L) and TN (3.78-70.4 mg/L) in all samples exceeded Type V national water quality standards (≥2 mg/L), while 5.3% of all COD Mn (1.83-27.5 mg/L) and 4 -N and TN in tertiary rivers had a significant negative correlation with 5-day cumulative rainfall and monthly rainfall, while there were no significant correlations in primary and secondary rivers. The results of CA and spatial analysis showed that the northern part of WenRui Tang River watershed was the most seriously polluted. This region is characterized by the high population density and industrial and commercial activities. The PCA and spatial analysis indicated that the degraded water quality is caused by anthropogenic activities and poor wastewater management.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial and temporal variations of nitrogen pollution in Wen-Rui Tang River watershed, Zhejiang, China

Mei

Zhang

et al. 2010

Environ Monit Assess

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“…According to previous studies, Pb, Cu, and Zn are positively correlated among these metals, suggesting a common origin for these metals in the study area. [51,52] The correlation between total metals with resistant fractions might also be used to estimate the degree of natural origin of the metals analyzed ( Table 7). The resistant fraction of Pb did not significantly correlate to the total concentrations of other metals, except for total Pb (r = 0.614** p < 0.01).…”

Section: Relation Between Oxidation-organic (Fraction 3) and Tommentioning

confidence: 99%

Distribution and contamination pattern of heavy metals from surface sediments in the southern part of Caspian Sea, Iran

Naji

Sohrabi²

2015

Chemical Speciation & Bioavailability

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This study concentrates on the speciation and distribution patterns of some heavy metals (Pb, Ni, Cd, Zn, and Cu) in surface sediments in the southern part of the Caspian Sea, the biggest lake in the world, to obtain an overall classification for the origins of metals in the area using a sequential extraction technique. At all sampling stations, Pb, Ni, Zn, and Cu were mostly (>50%) accumulated in the resistant fraction, which indicated that there were no significant anthropogenic inputs of Pb, Ni, Zn, and Cu into the surface sediments of the south Caspian Sea. Guilan province on the west coast of Caspian Sea accumulated higher percentages of non-resistant fractions of Pb and Zn, while Mazandaran and Golestan provinces in the middle and western parts of the Caspian Sea, in the Iranian zone, accumulated higher percentages of non-resistant fractions of Ni and Cu. The present study revealed that the coastal area of the south Caspian Sea is still not seriously contaminated. Cadmium in Guilan and Golestan provinces were dominated by non-resistant fractions (55-69%), which indicated more anthropogenic inputs of Cd on the south coast of the Caspian Sea in comparison with other metals.

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“…The excess of these metals are expelled out in voluminous amounts as wastewater or solid waste, which is disposed of indiscriminately onto open lands, ditches, nullahs or in sewers from where it finds its way into various water bodies and agricultural lands (Goyer, 1996). In the soil, these heavy metals get accumulated and under specific conditions become available to plants (Chung and Sa, 2001;Grande et al, 2003;Kowalkowski et al, 2006;Shrestha Kazama, 2007;Simeonov et al, 2003;Wunderlin et al, 2001;Zhang et al, 2009;), that accumulate them in their edible and non-edible parts and ultimately the food chain is contaminated (Krishna and Govil, 2007). Moreover, during the manufacturing process metallic dust is produced in the form of oxides that cast hazardous effects not only on the health of the workers, but also on the public at large (Johnson 1998;Johnson, 2006).…”

Section: Introductionmentioning

confidence: 99%

Assessment and Multivariate Analysis of Metals in Surgical Instrument Industry Affected Top Soils and Groundwater for Future Reclamation

Tariq¹,

Iqbal²,

Ijaz³

2013

IJEPS

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The levels of selected metals (Ca, Na, Mg, Fe, Cu, Pb, Ni, Co, Cr and Cd) were determined in effluent, groundwater and soil samples obtained from surgical instrument industries in Sialkot Pakistan by AAS. The metal distribution in the three media was quite divergent with high skewness and standard deviation parameters. These industries indiscriminately discharge the metal laden effluents to nearby lands and freshwater resources. Thus, soil adjacent to these industries exhibited Fe as the major contributor. The multiple correlations in terms of effluent versus soil correlation coefficient matrix evidenced that Ni, Mg, Cr and Cd in the soil originated from the effluents. Multivariate analysis (Principal component analysis and cluster analysis) also confirmed the contamination of soil and groundwater to be rising from surgical industry effluents.

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A description of how metal pollution occurs in the Tinto–Odiel rias (Huelva-Spain) through the application of cluster analysis

Cited by 74 publications

References 7 publications

Spatial and temporal variations of nitrogen pollution in Wen-Rui Tang River watershed, Zhejiang, China

Spatial and temporal variations of nitrogen pollution in Wen-Rui Tang River watershed, Zhejiang, China

Distribution and contamination pattern of heavy metals from surface sediments in the southern part of Caspian Sea, Iran

Assessment and Multivariate Analysis of Metals in Surgical Instrument Industry Affected Top Soils and Groundwater for Future Reclamation

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