scholarly journals Seasonal Variation And Preliminary Risk Assessment Of Trace Element Pollution In Surface Water From Langat River, Malaysia

2019 ◽  
Author(s):  
Lubna Alam ◽  
Md. Mahmudul Alam ◽  
Mazlin Bin Mokhtar ◽  
Azizul Bar ◽  
Nicholas Kathijotes ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Seasonal Variation ◽  
River Water ◽  
Critical Index ◽  
Principal Component ◽  
Dermal Absorption ◽  
Potential Threat ◽  
Concentration Data ◽  
Trace Element Pollution ◽  
Langat River

Heavy metals are widely used in various industries and became a great concern all over the world due to environmental contamination. This study provides an assessment of seasonal variability and risks to human health associated with the exposure to heavy metals concentrated in Langat river water of Malaysia. The Department of Environment (DOE) Malaysia kindly provided the heavy metal concentration data in water for this study. Several multivariate estimation such as an independent t test, box-and-whisker plot and Principal component analysis were carried out to evaluate the seasonal variation of metals concentration in water. The average value of ten analyzed metals was 250.81 µg/l and followed in order of abundance by August > Jun > February > October > April > December > March > May > September > January > July > November. The calculated HPI was 123.42, which is far above the critical index value of 100, indicating pollution with respect to heavy metals. Estimates of health risks associated with river water were summarized according to non-carcinogenic and carcinogenic health effects. No potential threat was detected for noncarcinogenic risk as the HI values calculated were <1. Potential carcinogenic risks associated with the ingestion and dermal absorption of heavy metals in water were evaluated probabilistically by performing 10,000 trails for Monte Carlo simulation where potential carcinogenic risk exists in case of Cd and As.It is necessary to take proper steps to reduce the pollution of heavy metals in Langat River.

scholarly journals Spatial/Temporal Characterization and Risk Assessment of Trace Metals in Mangla Reservoir, Pakistan

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Muhammad Saleem ◽  
Javed Iqbal ◽  
Gulraiz Akhter ◽  
Munir H. Shah
Keyword(s):  
Heavy Metals ◽  
Water Samples ◽  
Physicochemical Parameters ◽  
Oral Intake ◽  
Principal Component ◽  
Dermal Absorption ◽  
Trace Heavy Metals ◽  
Exposure Pathway ◽  
Adults And Children ◽  
And Cluster Analysis

Composite water samples were collected from different sites of Mangla reservoir, Pakistan, in premonsoon, monsoon, and postmonsoon seasons. The physicochemical parameters and trace/heavy metals were determined in all water samples. The results manifested significant seasonal variations among Co, Cr, Ni, and Pb and the metals exhibited highest contribution in premonsoon season except Mn. Principal component analysis (PCA) and cluster analysis (CA) revealed considerable anthropogenic intrusions in the reservoir. Probable risk associated with the metals levels on human health was also evaluated using hazard quotients (HQ) by ingestion and dermal routes for adults and children. It was noted that Cd, Co, Cr, Ni, and Pb (HQing>1) were the most important pollutants leading to noncarcinogenic concerns. TheHQdermlevels of all metals were below unity, suggesting that these metals posed no hazards via dermal absorption, while the oral intake was the major exposure pathway. The largest contributors to chronic risks were Cd, Co, Cr, Ni, and Pb in all the seasons. Therefore, immediate measures should be taken for sustaining the healthy aquatic ecosystem.

scholarly journals Spatial and Temporal Variation of Dissolved Heavy Metals in the Mun River, Northeast Thailand

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 380 ◽  
Author(s):  
Bin Liang ◽  
Guilin Han ◽  
Man Liu ◽  
Xiaoqiang Li ◽  
Chao Song ◽  
...  
Keyword(s):  
Heavy Metals ◽  
River Water ◽  
Principal Component ◽  
Agricultural Runoff ◽  
Dry Season ◽  
Mekong River ◽  
Spatial And Temporal Variation ◽  
Northeast Thailand ◽  
Wet Season ◽  
Dissolved Heavy Metals

River water samples between August 2017 (wet season) and March 2018 (dry season) from the Mun River Basin in northeast Thailand were collected and their dissolved heavy metals concentrations (Al, Mn, Fe, Cu, Zn, and Ba) were measured. Compared with international drinking water guidelines, Mn was the dominant pollutant in the dry season. The correlation analysis (CA) suggested that similar sources were shown in each element pair of Al-Fe, Mn-Zn, and Fe-Ba in both seasons. The principal component analysis (PCA) results showed that the dominant source of dissolved heavy metals was sedimentary inputs or colloid destabilization in the wet season, while anthropogenic inputs were the main sources in the dry season, such as agricultural runoff, industrial effluents, and domestic discharge. On the basis of water quality index (WQI), water at most sites in the wet and dry seasons can be categorized as excellent water, except for a few sites with substandard values. The river water posed no significant health risks according to the health risk assessment, but Mn, Fe, and Ba needed to be paid more attention due to the relatively high values. Al, Fe, and Ba were the main dissolved heavy metals flowing into the Mekong River, and Cu contributed to the background value in the Mekong river.

scholarly journals The Langat River water quality index based on principal component analysis

2013 ◽  
Author(s):  
Zalina Mohd Ali ◽  
Noor Akma Ibrahim ◽  
Kerrie Mengersen ◽  
Mahendran Shitan ◽  
Hafizan Juahir
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Principal Component ◽  
Component Analysis ◽  
River Water Quality ◽  
Langat River

INFLUENCE OF THE ECOLOGICAL STATE OF THE SEREPOK RIVER (VIETNAM) ON ACCUMULATION OF HEAVY METALS IN ORGANS OF FISH

2017 ◽  
pp. 98-105
Author(s):  
Ngo The Cuong ◽  
Tran Hoan Quoc ◽  
Svetlana Vasilievna Zolotokopova
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
River Water ◽  
Bottom Sediments ◽  
Heavy Metal Concentration ◽  
Industrial Areas ◽  
Industrial Regions ◽  
Cadmium Lead ◽  
Sarotherodon Galilaeus ◽  
Water Bottom

The article focuses on the study of change of containing heavy metals (zinc, copper, iron, cadmium, lead, arsenic) in the abiotic and biotic components of the Serepok river (Vietman) influenced by wastewater discharge from industrial areas. Heavy metal content was determined in the river water and bottom sediments in the four zones: above and within the boundaries of industrial regions Xoa Phu and Tam Thang and in two water reservoirs situated below the boundaries of those industrial areas. Tilapia Galilean ( Sarotherodon galilaeus ), Hemibagrus ( Hemibagrus ), and sazan ( Cyprinus carpio ) caught in these areas were the hydrobionts under study in which liver, gills, skeleton and muscles accumulation of heavy metals was detected. In the organs of fish caught in the river within industrial region, heavy metals concentration was 3-7 times higher. The greatest concentration of heavy metals was found in the liver and gills of fish caught in the boundaries of industrial regions, the least concentration was in the muscles. In most cases, significant correlation between heavy metal concentration in organs of fishes and in river water, bottom sediments has been revealed.

scholarly journals Size-Segregated Atmospheric Humic-Like Substances (HULIS) in Shanghai: Abundance, Seasonal Variation, and Source Identification

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 526
Author(s):  
Tianming Sun ◽  
Rui Li ◽  
Ya Meng ◽  
Yu Han ◽  
Hanyun Cheng ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Size Distribution ◽  
Principal Component ◽  
Water Soluble ◽  
Atmospheric Particulate Matter ◽  
Biomass Combustion ◽  
Vehicle Exhaust ◽  
Total Suspended Particulates ◽  
Condensation Mode ◽  
Water Soluble Organic Carbon

Humic-like substances (HULIS) are of great interest due to their optical and chemical characteristics. In this study, a total of 180 samples of atmospheric particulate matter (PM) of different sizes were collected from summer 2018 to spring 2019, in order to analyze the size distribution, to investigate the seasonal variation and then to identify the key sources of HULIS. The annual mean concentration of HULIS in the total suspended particulates reached 5.12 ± 1.42 μg/m3. The HULIS concentration was extremely higher in winter (8.35 ± 2.06 μg/m3) than in autumn (4.88 ± 0.95 μg/m3), in summer (3.62 ± 1.68 μg/m3) and in spring (3.36 ± 0.99 μg/m3). The average annual ratio of water-soluble organic carbon (WSOC) to OC and the ratio of HULIS to WSOC reached 0.546 ± 0.092 and 0.56 ± 0.06, respectively. Throughout the whole year, the size distributions of WSOC and HULIS-C were relatively smooth. The peaks of WSOC appeared at 1.8~3.2 μm and 0.56~1.0 μm, while the peaks of HULIS-C were located at 3.2~5.6 μm, 1.0~1.8 μm and 0.18~0.32 μm. The distribution of the HULIS particle mode was similar in spring, summer and autumn, while there was a lower proportion of the coarse mode and a higher proportion of the condensation mode in winter. By using the comprehensive analysis of principal component analysis (PCA), air mass backward trajectories (AMBTs) and fire point maps, key sources of WSOC and HULIS in Shanghai were identified as biomass combustion (48.42%), coal combustion (17.49%), secondary formation (16.07%) and vehicle exhaust (5.37%). The remaining part might be contributed by crustal dust sources, marine sources and/or other possible sources. This study provides new insight into the characteristics and size distribution of HULIS in Shanghai, thereby providing a practical base for further modeling.

scholarly journals Ecological Risk Assessment and Contamination History of Heavy Metals in the Sediments of Chagan Lake, Northeast China

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 894
Author(s):  
Panfeng Liu ◽  
Chaojie Zheng ◽  
Meilan Wen ◽  
Xianrong Luo ◽  
Zhiqiang Wu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Ecological Risk ◽  
Surface Sediment ◽  
Northeast China ◽  
Principal Component ◽  
Potential Ecological Risk ◽  
210Pb Dating ◽  
History Of ◽  
Chagan Lake

The study deals with the spatio-temporal distribution of heavy metals in the sediments of Chagan lake, Northeast China. The pollution history of heavy metals is studied simultaneously through the 210Pb dating method by analyzing the characteristic of As, Hg, Cd, Cr, Ni, Cu, Pb, and Zn concentration-depth profiles. The potential ecological risk index (RI) and geo-accumulation index (Igeo) were used to evaluate the contamination degree. Principal component analysis (PCA), based on the logarithmic transformation and isometric log-ratio (ilr) transformed data, was applied with the aim of identifying the sources of heavy metals. The element concentrations show that the heavy metals are enriched in the surface sediment and sediment core with a varying degree, which is higher in the surficial residue. The results of Igeo indicate that the Cd and Hg in the surface sediment have reached a slightly contaminated level while other elements, uncontaminated. The results of RI show that the study area can be classified as an area with moderate ecological risk in which Cd and Hg mostly contribute to the overall risk. For the sediment core, the 210Pb dating results accurately reflect the sedimentary history over 153 years. From two evaluation indices (RI and Igeo) calculated by element concentration, there is no contamination, and the potential ecological risk is low during this period. The comparative study between raw and ilr transformed data shows that the closure effect of the raw data can be eliminated by ilr transformation. After that, the components obtained by robust principal component analysis (RPCA) are more representative than those obtained by PCA, both based on ilr transformed dataset, after eliminating the influence of outliers. Based on ilr transformed data with RPCA, three primary sources could be inferred: Cr, Ni, As, Zn, and Cu are mainly derived from natural sources; the main source of Cd and Hg are associated with agricultural activities and energy development; as for Pb, it originated from traffic and coal-burning activities, which is consistent with the fact that the development of tourism, fishery, and agriculture industries has led to the continuous increasing levels of anthropogenic Pb in Chagan Lake. The summarized results and conclusions will undoubtedly enhance the governmental awareness of heavy metal pollution and facilitate appropriate pollution control measures in Chagan Lake.

scholarly journals An analysis of heavy metals contamination and estimating the daily intakes of vegetables from Uganda

2021 ◽  
Vol 5 ◽  
pp. 239784732098525
Author(s):  
Keneth Iceland Kasozi ◽  
Eric Oloya Otim ◽  
Herbert Izo Ninsiima ◽  
Gerald Zirintunda ◽  
Andrew Tamale ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Daily Intake ◽  
Principal Component ◽  
Absorption Spectrometry ◽  
Cross Sectional Study ◽  
Essential Elements ◽  
World Health ◽  
Cross Sectional ◽  
Health Organization ◽  
Daily Intakes

Background: Environmental contamination with elevated levels of copper (Cu), cobalt (Co), iron (Fe), zinc (Zn), lead (Pb), chromium (Cr6+), cadmium (Cd), and nickel (Ni)—all states of which are found in Uganda—raises health risk to the public. Pb, Cr6+, Cd, and Ni for instance are generally considered nonessential to cellular functions, notwithstanding the importance of the oxidative state of the metals in bioavailability. As such, we aimed in this study (i) to evaluate heavy metal concentrations in four vegetables from a typical open-air market in Uganda, (ii) to assess the safety of consuming these vegetables against the World Health Organization (WHO) recommended limits of heavy metals consumption, and (iii) to formulate a model of estimated daily intake (EDI) among consumers in the country. Methods: This was a cross-sectional study conducted in five georeferenced markets of Bushenyi district in January 2020. Amaranthus, cabbages, scarlet eggplants, and tomatoes were collected from open markets, processed, and analyzed by atomic absorption spectrometry. Modeled EDI, principal component (PCA) and cluster analysis (CA) were conducted to identify relationships in the samples. Results: The levels of essential elements in the four vegetables were found to fall from Co > Cu > Fe > Zn. Those of non-essential metals were significantly higher and followed the pattern Cd > Cr > Pb > Ni. The highest EDI values were those of Cu in scarlet eggplants, Zn in amaranthus, Fe in amaranthus, Co in amaranthus, Pb in cabbages, total Cr in scarlet eggplant, Cd in cabbages and tomatoes, and Ni in cabbages. In comparison to international limits, EDIs for Zn, Cu, Co and Fe were low while Ni in cabbages were high. PCA showed high variations in scarlet eggplant and amaranthus. The study vegetables were found to be related with each other, not according to the location of the markets from where they were obtained, but according to their species by CA. Conclusion: The presence of non-essential elements above WHO limits raises policy challenges for the consumption and marketing of vegetables in the study area. Furthermore, low EDIs of essential elements in the vegetables create demand for nutritious foods to promote healthy communities.

scholarly journals Spatial assessment of Langat river water quality using chemometrics

2010 ◽  
Vol 12 (1) ◽  
pp. 287-295 ◽  
Author(s):  
Hafizan Juahir ◽  
Sharifuddin Md Zain ◽  
Ahmad Zaharin Aris ◽  
Mohd Kamil Yusoff ◽  
Mazlin Bin Mokhtar
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Spatial Assessment ◽  
Langat River

Baseline Values for Heavy Metals in Soils on Ny-Alesund, Spitsbergen Island, Arctic: The Extent of Anthropogenic Pollution

2013 ◽  
Vol 779-780 ◽  
pp. 1260-1265 ◽  
Author(s):  
Zhi Ling Hao ◽  
Feng Wang ◽  
Hai Zhen Yang
Keyword(s):  
Heavy Metals ◽  
Principal Component ◽  
Anthropogenic Pollution ◽  
Anthropogenic Contamination ◽  
Index Method ◽  
Metal Contents ◽  
Accumulation Index ◽  
Baseline Values ◽  
Geo Accumulation Index ◽  
Cumulative Sums

Heavy metal contents (Cr, Ni, Cu, Zn, As, Cd, Hg, Pb) have been measured in 40 surface soils on Ny-Alesund, Spitsbergen Island, Arctic, which were in concentrations (in milligrams kilogram1) of 13.3-127 (Cr), 1.72-38.8 (Ni), 7.84-47.3 (Cu), 26.5-123 (Zn), 2.17-9.22 (As), 0-2.4 (Cd), 0.21-0.38 (Hg), 0-129 (Pb). Relative cumulative sums analysis and relative cumulative frequency analysis were used to determine the baseline values for the 8 metals, yielding values of Cr (24.7 mg/kg), Ni (6.24 mg/kg) , Cu (11.5 mg/kg) , Zn (77.3 mg/kg) , As (2.60 mg/kg) , Hg (0.27 mg/kg) , Pb (4.38mg/kg). Geo-accumulation index method was applied in order to determine the extent of anthropogenic contamination. Principal component analysis was put into use aiming to identify the sources of these heavy metals. The results showed that Pb, Cr, Cd and Hg have been significantly elevated in concentration by human activities.

Assessment of Heavy Metals Pollution in Sediments from Aha Lake, China

2012 ◽  
Vol 554-556 ◽  
pp. 1913-1918
Author(s):  
Feng Liu ◽  
Ji Wei Hu ◽  
Xian Fei Huang ◽  
Jing An Chen ◽  
Li Ya Fu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Industrial Effluent ◽  
Principal Component ◽  
Secondary Phase ◽  
Primary Phase ◽  
Point Source Pollution ◽  
Residual Phase ◽  
Heavy Metals Contamination ◽  
Mining Wastewater ◽  
Aha Lake

Assessment of the pollution for the selected six heavy metals (Pb, Cu, Zn, Fe, Mn and Ni) in ten surface sediments sampled from Aha Lake in a dry season was made in the present investigation. Principal component analysis (PCA) was used to assess the sources of the heavy metals contamination and two components were extracted. Analysis of the lake characteristics and point source pollution revealed that the discharge of industrial effluent and coal mining wastewater were the possible sources of these heavy metals contamination. Based on the speciation characteristics of heavy metals in sediments, the method ratio of secondary phase to primary phase (RSP) was applied to evaluate the loadings and the bioavailability of these heavy metals. The RSP evaluation exhibited that Pb, Zn, Fe, Mn and Ni were mainly associated with Fe-Mn oxides besides residual phase, while Cu mainly existed in organic phase and residual phase. In summary, the potential risk posed to the lake caused by the heavy metals was high and descended in the order of Mn > Ni > Zn > Pb > Cu > Fe.

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