Integrated approach of heavy metal pollution indices and complexity quantification using chemometric models in the Sirsa Basin, Nalagarh valley, Himachal Pradesh, India

2015 ◽  
Vol 34 (4) ◽  
pp. 620-633 ◽  
Author(s):  
Rajkumar Herojeet ◽  
Madhuri S. Rishi ◽  
Naval Kishore
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Integrated Approach ◽  
Himachal Pradesh ◽  
Pollution Indices

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

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1801
Author(s):  
Valentina Andreea Calmuc ◽  
Madalina Calmuc ◽  
Maxim Arseni ◽  
Catalina Maria Topa ◽  
Mihaela Timofti ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Sediments ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Danube River ◽  
Pollution Indices

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.

scholarly journals Heavy metal pollution in sediments and mussels: assessment by using pollution indices and metallothionein levels

2016 ◽  
Vol 188 (6) ◽  
Author(s):  
Oya S. Okay ◽  
Murat Ozmen ◽  
Abbas Güngördü ◽  
Atilla Yılmaz ◽  
Sevil D. Yakan ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Indices

Evaluation of groundwater quality and heavy metal pollution indices in Bazman basin, southeastern Iran

2019 ◽  
Vol 9 ◽  
pp. 100245 ◽  
Author(s):  
Ali Rezaei ◽  
Hossein Hassani ◽  
Sara Hassani ◽  
Nima Jabbari ◽  
Seyedeh Belgheys Fard Mousavi ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Groundwater Quality ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Indices

scholarly journals Evaluation of Surface Water Contamination Using Heavy Metal Pollution Indices in the Mgoua Watershed, Southwestern Cameroon

2021 ◽  
Vol 10 (11) ◽  
pp. 142-156
Author(s):  
Josephine Ndjama George Mafany ◽  
Biram Eric Belmond Yvette Clarisse Mfopou Mewouo ◽  
Carine Tarkang Amina Aboubakar ◽  
Opportune Léonelle Apohkeng Dongmo Armel Zacharie Ekoa Bessa
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Pollution Assessment ◽  
World Health ◽  
Health Concern ◽  
Pollution Indices ◽  
Assessment Index ◽  
Pollution Levels

An integrated pollution assessment index approach was used to assess the application of heavy metal pollution indices in the Ngoua watershed in southwestern (SW) Cameroon. The concentrations of Pb, Cr, Cu, Ni, Zn, Mo, Fe and Al in most of the water samples exceeded the maximum allowable concentration recommended by the World Health Organization (WHO). The Heavy Metal Evaluation Index (HEI) shows strong correlations with the Heavy Metal Pollution Index (HPI), Metal Index (MI) and the degree of contamination (Cd), and gives a better assessment of the pollution levels. Selected samples from the 10 sampling stations were classified as high polluted in Cd, MI and HPI in relation to the respective critical values. These values show comparable results to those of the HEI and indicate that about 88% of the samples with above average values were classified as highly contaminated and the remaining samples (12%) with below average values were classified as moderately contaminated. The Enrichment Factor (EF) analysis and the pollution indices reveal that the water quality is mainly controlled by natural and geogenic processes with major anthropogenic input. The current level of heavy metal distribution in the water of the Ngoua catchment is an environmental and health concern and requires special attention.

scholarly journals Comprehensive assessment of groundwater quality using heavy metal pollution indices and geospatial technique: A case study from Wanaparthy watershed of upper Krishna River basin, Telangana, India.

2021 ◽  
Author(s):  
Suantak Paolalsiam Vaiphei ◽  
Rama Mohan Kurakalva
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Groundwater Quality ◽  
River Basin ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Indices ◽  
Runoff Water ◽  
Water Interaction ◽  
Guideline Values

Abstract The present study is to characterize groundwater quality using heavy metal pollution indices and geospatial variations. A total of 58 samples from hand pump/submersible bore wells were collected from the Wanaparthy watershed of the upper Krishna River basin according to the grid size (5*6 km 2 ). The heavy metals concentration in groundwater samples are found in the order of Zn(38.67%)> B(32.67%)> Ba(13.59%)> As(8.49%)> Hg(3.71%)> Cr(1.28%)> Ni(0.52%)> Cd(0.47%). Among these heavy metals, arsenic (22.4%) and mercury (5.1%) were found above the permissible limits of WHO drinking water guideline values. A positive correlation between pH versus B/Ba/Hg, TH versus EC/TDS, and B versus Ba indicates the presence of metals due to chemical reaction (rock-water interaction). Arsenic correlation with EC/TDS/TH indicates artificial intervention. Drainage network analysis enumerates high concentration of parameters at near or joining to upper order of drainage system, which might be due to input of runoff water (interaction of variable rocks composition) and later stage infiltration to subsurface and reached to an aquifer. Heavy metal pollution index (HPI) showed 86.2% of samples are in the category of low class, whereas 12.1% of samples fall within medium class. According to metal index (MI) classification, 12.1% samples are in very pure, 24.14% samples are pure, while the remaining 63.8% samples are in the slightly to strongly affect category. This study suggested the main source of heavy metals in groundwater might be from the dominant granitoid rocks because the area is mostly devoid of industrialization.

scholarly journals Application of Pollution Indices for Evaluation of Long-Term Accumulation of Heavy Metals in Lake Modrac in Bosnia and Hercegovina

2017 ◽  
Vol 14 (3-4) ◽  
Author(s):  
Nusreta Djonlagic
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Water Body ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Pollution Indices ◽  
Geo Accumulation

In this study the results of a 15-year long monitoring survey on heavy metals in water at Lake Modrac were assessed using pollution indices of heavy metals, such as Heavy metal pollution index HPI, Heavy metal evaluation index HEI and the Degree of contamination CD. The results of the survey on heavy metal pollution of sediment conducted in 2015 were used as input data for the following pollution indices: Concentration factor , Pollution load index PLI, Enrichment factor EF, Index of geo-accumulation Igeo, Ecological risk factor , Potential ecological risk index to the water-body, RI. The results showed a good correlation and the lake sediment was characterized as polluted. Enrichment factors and indices of geo-accumulation of heavy metals were indicated as very high enriched in the sediment, and have been identified as an anthropogenic source of pollution. Cumulative presence in the sediment is assessed through the pollution index, RI, and has been assessed as moderate ecological risk to the lake water-body. The application of pollution indices presents a valuable tool in assessing the long-term pollution status of Lake Modrac.

scholarly journals Heavy metal pollution assessment in the groundwater of the Meghna Ghat industrial area, Bangladesh, by using water pollution indices approach

2020 ◽  
Vol 10 (8) ◽  
Author(s):  
Mirza A. T. M. Tanvir Rahman ◽  
Moutushi Paul ◽  
Nikhil Bhoumik ◽  
Mahmud Hassan ◽  
Md. Khorshed Alam ◽  
...  
Keyword(s):  
Water Pollution ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Assessment ◽  
Industrial Area ◽  
Pollution Indices

scholarly journals Potential Ecological Risk and Human Health Risk Assessment of Heavy Metal Pollution in Industrial Affected Soils by Coal Mining and Metallurgy in Ostrava, Czech Republic

2019 ◽  
Vol 16 (22) ◽  
pp. 4495 ◽  
Author(s):  
Doležalová Weissmannová ◽  
Mihočová ◽  
Chovanec ◽  
Pavlovský
Keyword(s):  
Heavy Metal ◽  
Health Risk ◽  
Human Health ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Human Health Risk ◽  
Absorption Spectrometry ◽  
Pollution Indices ◽  
Metal Concentrations

The heavy metal pollution of soils has become serious environmental problem, mainly in localities with high industrialization and rapid growth. The purpose of this detailed research was to determine the actual status of heavy metal pollution of soils and an assessment of heavy metal pollution in a highly industrialized city, Ostrava, with a history of long-term impacts from the metallurgy industry and mining. The ecological risks to the area was subsequently also assessed. The heavy metals Cd, Hg, Cu, Mn, Pb, V, Zn, Cr and Fe were determined in top-soils (0–20 cm) using atomic absorption spectrometry (F AAS, GF AAS) from three areas with different anthropogenic loads. The obtained data expressed as mean metal concentrations were very varied among the sampled soils and values of all analyzed metal concentrations were higher than its background levels. To identify the ecological risk and assessment of soil pollution, various pollution indices were calculated, such as single pollution indices (Igeo, CF, EF, PI) and total complex indices (IPI, PLI, PINemerow, Cdeg, mCdeg, Er and PERI). The identification of pollution sources was assessed using Pearson’s correlation analysis and multivariate methods (HCA, PCA/FA). The obtained results confirmed three major groups of metals (Fe–Cr, Pb–Cu and Mn–V). A human health risk was identified in the case of Pb, Cd and Cr, and the HI value of V for children also exceeded 1.

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