Sediment Quality Assessment for Heavy Metal Contamination in the
Dongzhai Harbor (Hainan Island, China) with Pollution Indice Approach

This study concerns the distribution and potential sources of elevated heavy metal concentrations (Cu, Zn, Pb, Cd, As) in surface sediments of the Dongzhai Harbor, Hainan Island,a national important mangrove ecosystem protection area.It was found that the pollution of As may occur occasional biological effect by numerical Sediment Quality Guidelines. Further, Geoaccumulation indices (Igeo) suggest there are serious pollution levels of As at all five stations. Spatial distribution of ecotoxicological index and pollution load index suggested that most of the surface sediments have a 9% probability of being toxic and the potential ecological risk zone appear in northern and southern of Dongzhai Harbor. Correlation analysis, principal component analysis, and cluster analysis showed that these metals primarily originate from natural sources. As and Pb resulted primarily from aquaculture, and combustion of gasoline and diesel fuel by ships. The present study provides a baseline record of heavy metals in mangrove surface sediments on the Dongzhai Harbor, and provide a useful aid for sustainable marine management in this region.

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Application of principal component analysis for the estimation of source of heavy metal contamination in surface sediments from the Rybnik Reservoir

Chemosphere ◽

10.1016/s0045-6535(03)00187-5 ◽

2003 ◽

Vol 51 (8) ◽

pp. 723-733 ◽

Cited By ~ 423

Author(s):

Krzysztof Loska ◽

Danuta Wiechuła

Keyword(s):

Heavy Metal ◽

Principal Component Analysis ◽

Metal Contamination ◽

Surface Sediments ◽

Heavy Metal Contamination ◽

Principal Component ◽

Component Analysis

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Application of Principal Component Analysis for the Estimation of Source of Heavy Metal Contamination in Sugarcane Soil

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.651-653.1402 ◽

2014 ◽

Vol 651-653 ◽

pp. 1402-1409

Author(s):

Gui Ping Xu ◽

Xiao Fei Wang ◽

Li Jun Chen

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Principal Component Analysis ◽

Ecological Risk ◽

Metal Contamination ◽

Heavy Metal Contamination ◽

Risk Index ◽

Principal Component ◽

Component Analysis ◽

Potential Ecological Risk

Concentrations of heavy metals in sugarcane soil of Guangxi were determined and the potential ecological risk index was used simultaneously to evaluate the extent of heavy metals enrichment contamination. Results showed that the pollution extent of heavy metals in sugarcane soil by potential ecological risk followed the order: Cd>Pb>Cu>Zn, Cu and Zn were slightly polluted, with small potential ecological harm, while Pb and Cd were above moderately polluted, with heavy potential ecological harm. Principal component analysis was applied to estimate the sources of heavy metals contamination, the results indicated that the first two components accounted for 61.016% and 26.920% of the total variance respectively, 4 kinds of heavy metal elements had similar sources, tailing dam lead-zinc concentrator upstream along the coast was the main sources of heavy metal contamination.

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Evaluation of Heavy Metal Pollutants From Plateau Mines in Wetland Surface Deposits

Frontiers in Environmental Science ◽

10.3389/fenvs.2020.557302 ◽

2021 ◽

Vol 8 ◽

Author(s):

Li Yu ◽

Shi Kaiyi ◽

Yuan Jie ◽

Kuang Qiyu

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Ecological Risk ◽

Human Activities ◽

Surface Sediments ◽

Potential Ecological Risk ◽

Toxic Heavy Metals ◽

Artificial Wetlands ◽

Mining Areas ◽

Pollution Levels

The Liupanshui Minghu Wetland is a typical artificial urban wetland in a plateau mining region. It is important to identify the sources and potential ecological risks of heavy metal contaminants in its surface sediments to monitor the wetland and the downstream water quality and prevent pollution. In this study, we measured the concentrations of six toxic heavy metals (Pb, Zn, Cr, Cu, Ni, and Cd) in the surface sediments collected from the Liupanshui Minghu Wetland. Further, the geological accumulation indices of heavy metals and their potential ecological risk indices, pollution levels, and associated ecological hazards were evaluated. The average levels of Pb, Zn, Cr, Cu, Ni, and Cd in the superficial sediments were 197, 222, 79.0, 59.1, 68.6, 4.67 mg/kg, respectively. With the exception of Cr, the concentrations of the remaining metals were greater than the background levels in the region. The Statistical analysis indicated a strong correlation between Pb, Zn, Cr, and Cu (p < 0.01). The pollution in the wetland by these elements can be attributed to human activities such as transportation, industrial activity, and agricultural production. Ni and Cd pollution can be attributed to human activities, such as coal mining, and natural phenomena, such as the weathering of mountains and rocks. The geological accumulation indices of Zn, Ni, and Cu indicated low levels of accumulation and minimal contamination. Cd and Pb were moderately enriched, and the levels of Cd and Pb contamination ranged from moderate to high. The potential ecological risk to the Shiyuan region (S) was the highest among the three regions in the wetland park. It was followed by the Longtoutan (L) region, and the potential ecological risk was the lowest in the Erdaoba (E) region. Among the six heavy metals, Cd was the main contributor to pollution in the Minghu Wetland. This study also strives to provide theoretical basis and data support for the prevention and control of heavy metal pollution in artificial wetlands in Alpine mining areas.

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Heavy metal pollution status in surface sediments of the Khajeh Kory River, north Iran

Water Science & Technology ◽

10.2166/wst.2020.202 ◽

2020 ◽

Vol 81 (6) ◽

pp. 1148-1158

Author(s):

Maryam Zare Khosheghbal ◽

Marjan Esmaeilzadeh ◽

Fereydoun Ghazban ◽

Mohammad Ebrahim Charmsazi

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Metal Pollution ◽

Heavy Metal Pollution ◽

Metal Contamination ◽

Surface Sediments ◽

Heavy Metal Contamination ◽

Principal Component ◽

Anthropogenic Sources ◽

Riverbed Sediments

Abstract This study aimed at exploring the extent of likely sources of heavy metal pollution in sediments of the Khajeh Kory riverbed in the north of Iran. In order to assess the heavy metal contamination, samples from surface sediments in 10 stations covering the river were collected and analysed to determine heavy metal contents including Cd, Cu, Ni, Pb, Zn, Mn, Co, Al, and Fe. Three guidelines were applied to assess the heavy metal contamination. Compared with the global average values, the calculated enrichment factors indicated high values for Fe, Mn, Cd, Co, and Cu, and very high values for Pb and Zn. The results obtained from principal component analysis revealed that the geogenic and anthropogenic sources were the main causes of the widespread enrichment of heavy metals in the riverbed sediments. The results suggested that the riverbed sediments were contaminated with heavy metals, which contribute to the freshwater toxicity in the ecosystem of the Khajeh Kory River.

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Heavy Metal Contamination in the Floodplains Along Mula River, Pune District, Maharashtra State, India

Hydrospatial Analysis ◽

10.21523/gcj3.19030102 ◽

2019 ◽

Vol 3 (1) ◽

pp. 12-21

Author(s):

Ashwini Supekar ◽

Ashok Issac ◽

Ashwini Rane

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Metal Contamination ◽

Surface Sediments ◽

Heavy Metal Contamination ◽

Contamination Factor ◽

Pollution Load Index ◽

Pollution Load ◽

Urban Sites

Pre-urban, urban and post-urban stretch of the Mula River in Pune District of Maharashtra (India) is examined for quantification of heavy metals (Cr, Co, Ni, Cu, Zn and Cd), calculation of the Pollution Load Index (PLI) and Contamination Factor (CF). They were estimated from the surface sediments (0-5 cm) at 10 sampling sites along the Mula river. High Cr anomaly (Max. 388.20 ppm) followed by Co (Max. 104.91 ppm), Ni (Max. 167.44 ppm), Cu (Max. 391.35 ppm), Zn (Max. 507.91 ppm) and Cd (Max. 2.38 ppm) is seen at various locations mostly encompassing the urban stretch. PLI is found to be high i.e., >1 in urban sites like Khadki, Kalyaninagar and Kharadi than the rural downstream sites. There is negligible mobility of the heavy metals and the urban floodplains are increasingly accumulating the heavy metals to a highly hazardous level.

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Spatial Variation and Source Analysis of Heavy Metals in Surface Sediments of the Hejiang River, China

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.522-524.71 ◽

2014 ◽

Vol 522-524 ◽

pp. 71-74

Author(s):

Shao Peng Wang ◽

Ying Hui Wang ◽

Rui Jie Zhang ◽

Dao Quan Xu

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Surface Sediments ◽

Heavy Metal Contamination ◽

Potential Ecological Risk ◽

Source Analysis ◽

Anthropogenic Contamination ◽

Accumulation Index ◽

Geo Accumulation Index ◽

Geo Accumulation

To fully understand the levels of heavy metal contamination and potential ecological risk,content level and distribution characteristics of nine kinds of heavy metal (Ti, Cd, Pb, Zn, Cr, Cu, Hg, As, Al) were analyzed in surface sediments collected in Hejiang River which flows through Hezhou City, a typical developing city in China. Researching enrichment regularity and the possible source of heavy metals by correlation analysis, as well geo-accumulation index (Igeo) was calculated to assess the anthropogenic contamination in the region. Results showed that the levels of sediment heavy metals followed the order: Al > Zn > As > Cu > Pb > Cr > Cd > Tl > Hg; obvious positive correlations were observed amongst the concentrations of Pb, Zn, As, Cd, Cu, Al; the pollution extent of heavy metals in sediments by geo-accumulation index (Igeo) followed the order: Cd > As > Zn > Cu > Pb > Hg > Al > Cr > Tl, the pollution extent of Cd and As were serious at m sampling sites.

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Assessment of heavy metal contamination in the surface sediments in the mangrove ecosystem of Gulf of Kachchh, West Coast of India

Environmental Earth Sciences ◽

10.1007/s12665-015-4062-y ◽

2015 ◽

Vol 74 (1) ◽

pp. 545-556 ◽

Cited By ~ 17

Author(s):

Goutam Kumar ◽

Manoj Kumar ◽

A. L. Ramanathan

Keyword(s):

Heavy Metal ◽

West Coast ◽

Metal Contamination ◽

Surface Sediments ◽

Heavy Metal Contamination ◽

Mangrove Ecosystem ◽

West Coast Of India ◽

Gulf Of Kachchh

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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 ◽

10.3390/w13131801 ◽

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.

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