Assessment of heavy metal distribution pattern in the sediments of Tamirabarani river and estuary, east coast of Tamil Nadu, India

Chandrasekaran, A.; Mukesh, M. V.; Chidambaram, S.; Singarasubramanian, S. R.; Rajendran, Sankaran; Muthukumarasamy, R.; Tamilselvi, M.

doi:10.1007/s12665-014-3593-y

Cited by 26 publications

(13 citation statements)

References 59 publications

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“…The values of the Igeo allow for an evaluation of the pollution intensity with heavy metals, according to Table 2. The contamination factor describes the pollution level of sediment with a given heavy metal and is calculated as the ratio between the concentration of each measured heavy metal (Cn) and its background value (C bn ) (Equation ( 2)) [39,40]…”

Section: Sample Collection and Analysismentioning

confidence: 99%

Assessment of Heavy Metal Pollution Levels in Sediments and of Ecological Risk by Quality Indices, Applying a Case Study: The Lower Danube River, Romania

Calmuc

Călmuc

Arseni

et al. 2021

Water

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It is a well–known fact that heavy metal pollution in sediments causes serious problems not only in the Danube basin, but also in the large and small adjacent river streams. A suitable method for assessing the level of heavy metals and their toxicity in sediments is the calculation of pollution indices. The present research aims to assess heavy metal pollution in the Lower Danube surface sediments collected along the Danube course (between 180 and 60 km) up to the point where the Danube River flows into the Danube Delta Biosphere Reserve (a United Nations Educational, Scientific and Cultural Organization – UNESCO, protected area). In addition, this monitored area is one of the largest European hydrographic basins. Five heavy metals (Cd, Ni, Zn, Pb, Cu) were analyzed in two different seasons, i.e., the autumn of 2018 and the spring of 2019, using the Inductively Coupled Plasma Mass Spectrometry (ICP– MS) technique. Our assessment of heavy metal pollution revealed two correlated aspects: 1. a determination of the potential risks of heavy metals in sediments by calculating the Potential Ecological Risk Index (RI), and 2. an evaluation of the influence of anthropogenic activities on the level of heavy metal contamination in the surface sediments, using three specific pollution indices, namely, the Geo–Accumulation Index (Igeo), the Contamination Factor (CF), and the Pollution Load Index (PLI). The results of this pioneering research activity in the region highlighted the presence of moderate metal (Ni and Cd) pollution and a low potential ecological risk for the aquatic environment.

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Section: Sample Collection and Analysismentioning

confidence: 99%

Assessment of Heavy Metal Pollution Levels in Sediments and of Ecological Risk by Quality Indices, Applying a Case Study: The Lower Danube River, Romania

Calmuc

Călmuc

Arseni

et al. 2021

Water

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“…These quality index method has proved to be a significant tool for effectively gathering a composite influence of indicators to the overall contamination [11]. Several evaluation methods have been utilized by various authors in heavy metal pollution assessment in soils and sediments: Single index factor (Pi), Nemerow's pollution index (PN), potential ecological risk index (RI), enrichment factor (EF), contamination factor (CF), geoaccumulation index (Igeo), contamination index (Cd), pollution load index (PLI) as well as hazard quotient [12][13][14][15][16][17][18][19][20]. Pi and CF are computed as basis for obtaining PN and PLI respectively.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of a New Comprehensive Method for Heavy Metal Pollution Assessment in Soil Media

Bello¹,

Bg²,

Simon³

et al. 2017

Int J Swarm Intel Evol Comput

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“…This pollution not only degrades the quality of the atmosphere, water bodies, and agricultural outputs, but also threatens the health and well-being of both animals and human beings, particularly by way of the food chain [2][3][4]. At present, the heavy metal pollution of river water has become an urgent problem on the international level [5,6]. An increasing concentration of metals continues to be found in riverbeds, specifically in those areas inhabited by living species.…”

Section: Introductionmentioning

confidence: 99%

“…Assessment indexes of heavy metal pollution included the following variables: single index factor (P i ), Nemerow's pollution index (P N ), [8][9] potential ecological risk index (RI) [5], enrichment factor (EF) [5,[10][11][12][13], contamination factor (CF) [6,14], geoaccumulation index (I geo ) [5,6,10,15], heavy metal evaluation index (HEI), heavy metal pollution index (HPI), contamination index (C d ) [16], pollution load index (PLI) [12]. The arithmetic methods used to calculated both P i and CF are simply yielded by the computation basis of P N and PLI respectively.…”

Section: Introductionmentioning

confidence: 99%

Novel assessment method of heavy metal pollution in surface water: A case study of Yangping River in Lingbao City, China

Liu

Sun

et al. 2016

Environmental Engineering Research

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The primary purpose of this research is to understand those elements that define heavy metals contamination and to propose a novel assessment method based on principal component analysis (PCA) in the Yangping River region of Lingbao City, China. This paper makes detailed calculations regarding such factors the single-factor assessment (Pi) and Nemerow's multi-factor index (PN) of heavy metals found in the surface water of the Yangping River. The maximum values of Pi (Cd) and Pi (Pb) were determined to be 892.000 and 113.800 respectively. The maximum value of PN was calculated to be 639.836. The results of Pearson's correlation analysis, hierarchical cluster analysis, and PCA indicated heavy metal groupings as follows: Cu, Pb, Zn and As, Hg, Cd. The PCA-based pollution index (Pαn) of samplings was subsequently calculated. The relative coefficient square was valued at 0.996 between Pαn and PN, which indicated that Pαn is able to serve as a new heavy metal pollution index; not only this index able to eliminate the influence of the maximum value of Pi, but further, this index contains the principal component elements needed to evaluate heavy metal pollution levels.

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Assessment of heavy metal distribution pattern in the sediments of Tamirabarani river and estuary, east coast of Tamil Nadu, India

Cited by 26 publications

References 59 publications

Assessment of Heavy Metal Pollution Levels in Sediments and of Ecological Risk by Quality Indices, Applying a Case Study: The Lower Danube River, Romania

Assessment of Heavy Metal Pollution Levels in Sediments and of Ecological Risk by Quality Indices, Applying a Case Study: The Lower Danube River, Romania

Development and Validation of a New Comprehensive Method for Heavy Metal Pollution Assessment in Soil Media

Novel assessment method of heavy metal pollution in surface water: A case study of Yangping River in Lingbao City, China

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