Assessment of heavy metal pollution in water using multivariate statistical techniques in an industrial area: A case study from Patancheru, Medak District, Andhra Pradesh, India

Krishna, A. Keshav; Satyanarayanan, M.; Govil, P. K.

doi:10.1016/j.jhazmat.2008.12.131

Cited by 337 publications

(144 citation statements)

References 20 publications

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“…Wastewater from these industries will contain heavy metals that pollute soil, surface water and groundwater if proper care is not taken in the disposal [16,17]. Tanneries causing chromium pollution due to use of chromium sulphate during the tanning process is a major concern in Bangladesh and India [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Human Exposure Risk Assessment Due to Heavy Metals in Groundwater by Pollution Index and Multivariate Statistical Methods: A Case Study from South Africa

Elumalai

Brindha

Elango

2017

Water

134

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Heavy metals in surface and groundwater were analysed and their sources were identified using multivariate statistical tools for two towns in South Africa. Human exposure risk through the drinking water pathway was also assessed. Electrical conductivity values showed that groundwater is desirable to permissible for drinking except for six locations. Concentration of aluminium, lead and nickel were above the permissible limit for drinking at all locations. Boron, cadmium, iron and manganese exceeded the limit at few locations. Heavy metal pollution index based on ten heavy metals indicated that 85% of the area had good quality water, but 15% was unsuitable. Human exposure dose through the drinking water pathway indicated no risk due to boron, nickel and zinc, moderate risk due to cadmium and lithium and high risk due to silver, copper, manganese and lead. Hazard quotients were high in all sampling locations for humans of all age groups, indicating that groundwater is unsuitable for drinking purposes. Highly polluted areas were located near the coast, close to industrial operations and at a landfill site representing human-induced pollution. Factor analysis identified the four major pollution sources as: (1) industries; (2) mining and related activities; (3) mixed sources-geogenic and anthropogenic and (4) fertilizer application.

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Section: Introductionmentioning

confidence: 99%

Human Exposure Risk Assessment Due to Heavy Metals in Groundwater by Pollution Index and Multivariate Statistical Methods: A Case Study from South Africa

Elumalai

Brindha

Elango

2017

Water

134

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“…These activities have increased the mobility and availability of trace metals, significantly affecting their concentrations in the atmosphere, hydrosphere and soils, threatening both the natural environment and human health (Krishna et al, 2009;Wu et al, 2011;Mohiuddin et al, 2014). Road transportation has increased alongside rapid economic development, resulting in a sprawling road network in China.…”

Section: Introductionmentioning

confidence: 99%

Identification of traffic-related metals and the effects of different environments on their enrichment in roadside soils along the Qinghai–Tibet highway

Zhang

Wang

Zhang

et al. 2015

Science of The Total Environment

147

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• Cr, Zn, Cu, As, Cd, and Pb in soils along the highway are related to the traffic.• There are three distribution patterns of the traffic-related metals in soils.• Regional differences had significant relationship with the enrichment levels.• Cd was the prior metal and the TTH was the key area for soil environment monitoring. The road transportation could affect roadside soils environment detrimentally, including heavy metal enrichment. In order to identify and evaluate the enrichment of heavy metals resulted from road transportation on the Tibetan Plateau, the 11 heavy metals (V, Cr, Co, Ni, Cu, Zn, As, Cd, Rb, Pb and Tl) in the topsoil (0-10 cm depth) from four sites along the Qinghai-Tibet highway were discussed in this study. Our results indicate that heavy metals such as Cr, Cu, Zn, As, Cd and Pb are related to road transportation. The content of most of these heavy metals in roadside soils decreased exponentially with the distance from the road, as did some of the Nemero Synthesis Indexes (PN values). The contamination factor for the traffic-related metals ranged from 0.56 (no pollution) to 5.67 (considerable pollution) and the Nemero Synthesis Indexes of these heavy metals ranged from 0.80 (no pollution) to 4.49 (severe pollution). Cd was of priority concern as it had the highest contamination factor. The highest PN value for these traffic-related heavy metals was found in soils at site TTH (alpine steppe). Although transportation contributed to the high contents of these traffic-related metals in roadside environments, regional differences such as wind and the terrain also had significant relationship with their enrichment in these roadside soils. The roadside distance at which there is a potential risk to livestock and wildlife from the contamination of soils by heavy metals should be determined scientifically along the Qinghai-Tibet highway, based on the different natural environments found in the region. a b s t r a c t a r t i c l e i n f o

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“…[1][2][3] Dentre os principais poluentes encontrados nestes resíduos, os metais na forma de íons metálicos dissolvidos em água se afiguram como extremamente nocivos ao ambiente e são, atualmente, uma das grandes preocupações dos órgãos de proteção ambiental. 4 Dessa forma a água, que a princípio é um recurso renovável, como consequência da intensa poluição, passa a depender cada vez mais de novas tecnologias para poder ser reutilizada.…”

Section: Introductionunclassified

Aplicação da casca de arroz na adsorção dos íons Cu2+, Al3+, Ni2+ e Zn2+

Mimura¹,

Vieira²,

Martelli³

et al. 2010

Quím. Nova

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2+ and Zn 2+ ions from aqueous solutions was investigated under both noncompetitive and competitive conditions. The biosorbent was used in the form of particles with size smaller than 0.5 µm and in the concentration of 500 mg L -1 (dry weight). The experiments were performed using batch adsorption technique for concentrations of 10, 30 and 70 mg L -1 of metal ions at pH 4.0 and 5.0. The chemical speciation of metals in the experimental conditions used in this work was predicted by the software Visual MINTEQ 2.6.Keywords: rice husk; biosorption; metals adsorption. INTRODUÇÃOUm dos grandes problemas do mundo moderno é a poluição de águas superficiais proveniente, na maioria das vezes, do descarte inadequado de resíduos industriais e agrícolas.1-3 Dentre os principais poluentes encontrados nestes resíduos, os metais na forma de íons metálicos dissolvidos em água se afiguram como extremamente nocivos ao ambiente e são, atualmente, uma das grandes preocupações dos órgãos de proteção ambiental. 4 Dessa forma a água, que a princípio é um recurso renovável, como consequência da intensa poluição, passa a depender cada vez mais de novas tecnologias para poder ser reutilizada.Os métodos para tratamento de efluentes industriais mais utilizados envolvem processos físicos e/ou químicos, como oxidação, troca iônica, adsorção por carvão ativado, separação por membrana, processos biológicos, eletroquímicos, fotoquímicos, neutralização/ precipitação química, etc. 5,6 Os procedimentos baseados na adsorção têm a vantagem de serem versáteis e acessíveis, entretanto o material adsorvente pode encarecer o processo. Além disso, muitos adsorventes não podem ser reutilizados e acabam se tornando outra forma de resíduo. No sentido de reduzir gastos e ampliar a utilização destes processos pela indústria, fontes alternativas de sorção têm sido investigadas, como os denominados biossorventes, os quais são adsorventes eficientes e de baixo custo.7-9 Os biossorventes de origem vegetal são constituídos basicamente por macromoléculas como substâncias húmicas, lignina, celulose, hemicelulose e proteínas, as quais possuem sítios adsortivos, tais como grupos carbonilas, carboxilas, aminas e hidroxilas, capazes de adsorverem as espécies metálicas por processos de troca iônica ou de complexação. 10O emprego de biossorventes torna-se ainda mais relevante quando são derivados de resíduos agroindustriais, os quais dependendo do volume produzido se tornam um problema ambiental. Um exemplo é a casca de arroz que tem se destacado como potencial biossorvente na remoção de muitas espécies metálicas.11-14 A produção mundial de arroz é aproximadamente de 80 milhões de toneladas por ano, sendo que o Brasil teve uma produção de 12,6 milhões de toneladas de arroz em 2009, um crescimento de 4,2% em relação à safra de 2007.15 Durante o processo de beneficiamento do arroz, a sua casca surge como subproduto, que representa cerca de 23% do peso, ou seja ~2,8 milhões de toneladas.Dessa forma, dentre as vantagens deste material como biossorvente podemos citar sua abun...

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Assessment of heavy metal pollution in water using multivariate statistical techniques in an industrial area: A case study from Patancheru, Medak District, Andhra Pradesh, India

Cited by 337 publications

References 20 publications

Human Exposure Risk Assessment Due to Heavy Metals in Groundwater by Pollution Index and Multivariate Statistical Methods: A Case Study from South Africa

Human Exposure Risk Assessment Due to Heavy Metals in Groundwater by Pollution Index and Multivariate Statistical Methods: A Case Study from South Africa

Identification of traffic-related metals and the effects of different environments on their enrichment in roadside soils along the Qinghai–Tibet highway

Aplicação da casca de arroz na adsorção dos íons Cu2+, Al3+, Ni2+ e Zn2+

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