Accumulation of Heavy Metals in Plantago Major Grown in Urban and Post-Industrial Areas

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.

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EMPIRICAL CRITERIA FOR PHYTOMONITORING OF TECHNOGENIC LOAD IN DONBASS

ÈKOBIOTEH ◽

10.31163/2618-964x-2021-4-3-195-202 ◽

2021 ◽

Vol 4 (3) ◽

pp. 195-202

Author(s):

A.I. Safonov ◽

◽

A.Z. Glukhov ◽

Keyword(s):

Heavy Metals ◽

Correlation Analysis ◽

Environmental Conditions ◽

Structural Heterogeneity ◽

Soil Samples ◽

Anthropogenic Load ◽

Data Sets ◽

Plantago Major ◽

Indicator Plants

From the data on the structural heterogeneity of indicator plants (Berteroa incana (L.) DC., Plantago major L., Reseda lutea L., Echium vulgare L., and Capsella bursa-pastoris (L.) Medik.) under unfavorable environmental conditions of Donbass selected their most informative characteristics for a general assessment of the level of anthropogenic load on local ecotopes. Empirical criteria were calculated as a result of correlation analysis between data sets on the content of heavy metals in soil samples and the values of phytoindication indices.

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The Occurrence, Pathways, and Risk Assessment of Heavy Metals in Raw Milk from Industrial Areas in China

Toxics ◽

10.3390/toxics9120320 ◽

2021 ◽

Vol 9 (12) ◽

pp. 320

Author(s):

Chuanyou Su ◽

Yanan Gao ◽

Xueyin Qu ◽

Xuewei Zhou ◽

Xue Yang ◽

...

Keyword(s):

Heavy Metals ◽

Risk Assessment ◽

Atomic Absorption ◽

Inductively Coupled Plasma ◽

Graphite Furnace ◽

Hazard Index ◽

Raw Milk ◽

Atomic Fluorescence Spectrometry ◽

Industrial Areas ◽

Flame Atomic Absorption

This study evaluated chromium (Cr), arsenic (As), cadmium (Cd), and lead (Pb) contamination in raw milk from industrial areas in China, identified the possible pathways of heavy metals from the environment to raw milk, and made a risk assessment of the consumption of heavy metals from milk consumption. The Cr, As, Cd, and Pb concentrations in raw milk, water and silage were analyzed using inductively coupled plasma mass spectrometry. The Cr and As in soil were analyzed by flame atomic absorption spectrometry and atomic fluorescence spectrometry, respectively. Cd and Pb in soil were determined by a Graphite furnace atomic absorption spectrophotometer. The Cr and As concentrations in milk from industrial areas were 2.41 ± 2.12 and 0.44 ± 0.31 μg/kg, respectively, which were significantly higher (p < 0.01) than those from non-industrial areas, which had levels of 1.10 ± 0.15 and 0.25 ± 0.09 μg/kg, respectively. Chromium was mainly transferred through the soil-silage-milk pathway, As was transferred through the water-silage-milk pathway, while Cd was mainly transferred through the soil (water)-silage-milk pathway. The contributions of each metal to the overall hazard index (HI) followed a descending order of As, Cr, Pb, and Cd, with values of 46.64%, 25.54%, 24.30%, and 3.52%, respectively. Children were at higher risk than adults.

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GREENARY IN THE REVITALIZATION PROCESSES OF POST-INDUSTRIAL AREAS IN THE RUHRY AND THE UPPER SILESIAN INDUSTRIAL DISTRICTS

space&FORM ◽

10.21005/pif.2018.3.d-03 ◽

2018 ◽

Vol 2018 (33) ◽

pp. 253-266

Author(s):

Magdalena Wilkosz-Mamcarczyk ◽

Keyword(s):

Industrial Districts ◽

Industrial Areas ◽

Post Industrial

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Environmental Health and Ecological Risk Assessment of Soil Heavy Metal Pollution in the Coastal Cities of Estuarine Bay—A Case Study of Hangzhou Bay, China

Toxics ◽

10.3390/toxics8030075 ◽

2020 ◽

Vol 8 (3) ◽

pp. 75

Author(s):

Rongxi Li ◽

Yuan Yuan ◽

Chengwei Li ◽

Wei Sun ◽

Meng Yang ◽

...

Keyword(s):

Heavy Metals ◽

Ecological Risk ◽

Hazard Quotient ◽

Risk Index ◽

Pollution Index ◽

Hangzhou Bay ◽

Residential Areas ◽

Industrial Areas ◽

Agricultural Areas ◽

Functional Areas

Shanghai is the major city on the north shore of Hangzhou Bay, and the administrative regions adjacent to Hangzhou Bay are the Jinshan district, Fengxian district, and Pudong new area (Nanhui district), which are the main intersection areas of manufacturing, transportation, and agriculture in Shanghai. In this paper, we collected a total of 75 topsoil samples from six different functional areas (agricultural areas (19), roadside areas (10), industrial areas (19), residential areas (14), education areas (6), and woodland areas (7)) in these three administrative regions, and the presence of 10 heavy metals (manganese(Mn), zinc(Zn), chromium(Cr), nickel(Ni), lead(Pb), cobalt(Co), cadmium(Cd), mercury(Hg), copper(Cu), and arsenic(As)) was investigated in each sample. The Nemerow pollution index (NPI), pollution load index (PLI), and potential ecological risk index (PERI) were calculated to assess the soil pollution levels. The hazard quotient (HQ) and carcinogenic risk (CR) assessment models were used to assess the human health risks posed by the concentrations of the heavy metals. The CR and HQ for adults and children in different functional areas descended in the following order: industrial areas > roadside areas > woodland areas > residential areas > education areas > agricultural areas. The HQ of Mn for children in industrial areas was higher than 1, and the risk was within the acceptable range.

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