scholarly journals Progress in the Research of the Toxicity Effect Mechanisms of Heavy Metals on Freshwater Organisms and Their Water Quality Criteria in China

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Ya-jun Hong ◽  
Wei Liao ◽  
Zhen-fei Yan ◽  
Ying-chen Bai ◽  
Cheng-lian Feng ◽  
...  

Water quality criteria are the scientific basis for formulating water quality standards and environmental management practices. Due to the development of urbanization and industrialization, the problem of heavy metal pollution has become a serious environmental problem. Heavy metals not only have major impacts on aquatic organisms, but also seriously threaten human health. However, the current environmental criteria refer to the maximum value limitations of environmental factors in environmental media where harmful or detrimental effects are not produced on specific protected objects. This study reviewed the sources, hazard levels, toxic effect mechanisms, and the current research status of China’s water quality criteria for heavy metal pollutants. In addition, the focus and direction of future research on the toxic effects of heavy metal on aquatic organisms and the necessary criteria changes were discussed. The present study would provide an important theoretical basis for the future research of water quality criteria and risk assessment of heavy metal pollutants.

Author(s):  
Özgür Canpolat ◽  
Ece Vanlı

Industries, as a source of pollution, have a considerable impact on aquatic ecosystems due to the diversity in the composition of their wastewater. In this study, it is aimed to determine the heavy metal pollution caused by the wastewater of milk products factory, paint factory and textile factory in the Organized Industrial Zone of Kahramanmaraş province. For this purpose, seasonal concentrations of some heavy metals (Fe, Cu, Zn, Cr, Ni, Cd, As and Hg) have been determined in wastewaters of milk products factory, paint factory and textile factory and in the region where these wastewaters discharge in the Erkenez Stream. The seasonal variation of heavy metals in all stations, generally the lowest concentrations of all elements were determined in winter and the highest concentrations were determined in summer. When the heavy metal contents of milk products factory, paint factory and textile factory wastewaters were compared, the highest values were found in textile factory wastewater. When all stations are taken into consideration, according to USEPA and water quality criteria, it is determined that the wastewaters of milk products factory, paint factory and textile factory and the area of the Erkenez Stream, where these wastewaters are discharged, were very dirty in term of heavy metals. When these results are taken into consideration, it is clear that the wastewater of these factories causes serious heavy metal pollution in the Erkenez Stream.


2020 ◽  
Vol 21 (2) ◽  
pp. 98-109
Author(s):  
Witriani Marvinatur Ihsan ◽  
Ratnawulan Ratnawulan

In the South Coastal Forest area, West Sumatra, a luminous mushroom with the species Neonothopanus Sp. This research was conducted with the aim of seeing the effect of heavy metals on the bioluminescence reaction of luminous mushrooms. Starting from the effect of heavy metal concentrations on the intensity and inhibition coefficient of luminous mushroom biolumination. From the measurement results, the maximum intensity value of luminous mushrooms is 499.6 au occurring at a wavelength of 505 nm. At a wavelength of 505 nm, visible light is produced in green. The results obtained are in accordance with observations, because the light emitted by the glowing mushroom is green. If the concentration of heavy metals is greater, the intensity of the bioluminescent fungus (Neonothopanus sp) will decrease. The type of heavy metal affects the intensity of the fungus biolumination. The greatest decrease in intensity occurred in copper (Cu) and iron (Fe), zinc (Zn) and lead (Pb). If the heavy metal concentration is greater, the inhibition coefficient will be smaller. The greatest inhibition coefficient due to the presence of heavy metals occurs in copper (Cu) then iron (Fe), zinc (Zn) and the smallest is lead (Pb).


1978 ◽  
Vol 29 (1) ◽  
pp. 1 ◽  
Author(s):  
M Ahsanullah ◽  
GH Arnott

Acute toxicity tests were carried out on the larvae of P. quadridentatus and 96-h LC50 values of 0.17, 0.49, and 1.23 mg/l were determined for copper, cadmium, and zinc respectively. Potency ratios of the three metals were as follows: Cu/Cd 3.1, Cu/Zn 7.2, and Cd/Zn 2.4. Larvae were found to be nine times more sensitive to zinc and at least 29 times more sensitive to cadmium than were adults. The larval 96-h LC50 values multiplied by an application factor of 0.01 (as recommended in Victorian water quality criteria) results in derived 'safe' concentrations, which in the case of copper and zinc are below the stated 'minimal risk concentrations' of 10 and 20 �g/I respectively. In view of the known greater sensitivity of larvae of many taxa to heavy metal toxicity, the validity of using the same application factor for both adult and larval stages is questioned.


2013 ◽  
Vol 830 ◽  
pp. 341-344
Author(s):  
Jun Jun Du ◽  
Sheng Ping Jin ◽  
Qiong Li ◽  
She Sheng Zhang

Consider heavy metal pollution of topsoil in the city of world today is a hot science research project. A fuzzy clustering algorithm l is constructed ed by analyzing the propagation characteristics of heavy metal pollutants. Considering topography, areas, factories, roads, , irredentist, etc. we calculate a evaluation on comprehensive pollution, and the degree of heavy metals pollution, by using fuzzy clustering and fuzzy AHP. The results show that the index of the comprehensive pollution of heavy metals on the region, and the weight of pollution of each category.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Muyun Sun ◽  
Kaiyuan He ◽  
Shi Shu

Despite the extensive attention paid to the transport of heavy metals in sludge landfills, the processes of transporting these pollutants from a landfill to the underground environment are quite complicated and subject to significant uncertainty. In this study, the transport of typical heavy metal pollutants in a sludge landfill through saturated and unsaturated soil zones during rainfall was investigated via numerical modeling. The objectives of the study are to evaluate the heavy metal pollution risk from a sludge landfill under rainfall infiltration conditions and to propose several management suggestions. The results indicate that, during rainfall, heavy metal concentrations at the top of the unsaturated sludge layer decrease rapidly, but they decrease more gradually at the bottom of the layer. The maximum concentration appears in vertical distribution and decreases gradually through the saturated zone. Nickel is the first heavy metal pollutant to break through the low-permeability natural silt barrier. The transport parameters not only influence the simulated time for heavy metal pollutants to break through the silt layer and cause underground environmental pollution but also affect the extent to which the heavy metal pollutants in pore water exceed the guidelines. On the basis of these results, for dredged sludge with heavy metal concentrations significantly exceeding the standard, the concentration of heavy metals in pore water should be reduced before the sludge is landfilled, and a covering layer should be established on the sludge surface to control rainfall infiltration.


2020 ◽  
Vol 63 (3) ◽  
pp. 753-770 ◽  
Author(s):  
Rory Coffey ◽  
Jonathan Butcher ◽  
Brian Benham ◽  
Thomas Johnson

Highlights Increased fecal coliform (FC) loading from nonpoint sources is associated with wetter-warmer futures. Drier-warmer futures reduced FC loads but caused more recreational water quality criteria exceedances. More extensive BMP implementation may be needed to meet water quality goals. Abstract. Anticipated future hydroclimatic changes are expected to alter the transport and survival of fecally sourced waterborne pathogens, presenting an increased risk of recreational water quality impairments. Managing future risk requires an understanding of the interactions between fecal sources, hydroclimatic conditions, and best management practices (BMPs) at spatial scales relevant to decision makers. In this study, we used the Hydrologic Simulation Program FORTRAN (HSPF) to quantify potential fecal coliform (FC, an indicator of the potential presence of pathogens) responses to a range of mid-century climate scenarios and assess different BMP scenarios (based on reduction factors) for reducing the risk of water quality impairment in two small agricultural watersheds: the Chippewa watershed in Minnesota, and the Tye watershed in Virginia. In each watershed, simulations show a wide range of FC responses, driven largely by variability in projected future precipitation. Wetter future conditions, which drive more transport from nonpoint sources (e.g., manure application, livestock grazing), show increases in FC loads. Loads typically decrease in drier futures; however, higher mean FC concentrations and more recreational water quality criteria exceedances occur, likely caused by reduced flow during low-flow periods. Median changes across the ensemble generally show increases in FC load. BMPs that focus on key fecal sources (e.g., runoff from pasture, livestock defecation in streams) within a watershed can mitigate the effects of hydroclimatic change on FC loads. However, more extensive BMP implementation or improved BMP efficiency (i.e., higher FC reductions) may be needed to fully offset increases in FC load and meet water quality goals, such as total maximum daily loads and recreational water quality standards. Strategies for managing climate risk should be flexible and to the extent possible include resilient BMPs that function as designed under a range of future conditions. Keywords: Climate, HSPF, Management responses, Microbial water quality, Modeling, Watersheds.


2020 ◽  
Author(s):  
maryam khalilzadeh poshtegal ◽  
Mojtaba Noury ◽  
seyed ahmad mirbagheri

<p><strong>Abstract: </strong>Based on the deep studies of existing mathematical models, a mathematical model that expresses the dynamic of transport and transformation of heavy metals in the rivers has been presented. In this model, the basic principles of chemistry in the environment, hydraulic and fluid transfer dynamics have been used as well as recent studies of researchers. The effects of sediment on the transfer and evolution of heavy metals pollution can be investigated by the proposed models. For example, the evolution and transport of heavy metal pollutants in a steady state flow containing sediment are studied using the present model. The results of theoretical analysis and calculations show that transport and transformation of heavy metal pollution in sediment laden flows, not only have common characteristics of general pollutant but also have features of transport and transformation induced by the movement of sediments.</p><p><strong>Keywords:</strong> Numerical Simulation; Heavy Metal; Pollution; Sediment; Finite Difference Method.</p>


2021 ◽  
Author(s):  
◽  
Andrea Tuohy

<p>Global industrialization has led to emissions of heavy metal pollutants that are transported to the most remote areas of the planet. Elevated concentrations of heavy metals are ecological toxins in soils, water, and air. Monitoring has only been implemented during the last few decades with anthropogenic emissions superimposed over natural sources. Furthermore, most monitoring programs generally target local sources of emissions near cities rather than large-scale impacts. Thus quantifying safe limits and controlling industrial emissions is complicated by a lack of knowledge about natural sources and variability on regional, hemispheric, and global scales. New baseline studies are needed to determine i) natural background concentrations of heavy metals, ii) contributions of anthropogenic emissions, and iii) the degree to which atmospheric transport affects background heavy metal concentrations. Due to the remoteness of Antarctica, ice cores can be used as sensitive recorders of background heavy metal atmospheric concentrations over thousands of years. This provides the opportunity to determine natural variability and contributions to the atmosphere on a hemispheric scale, as well as dating the onset of anthropogenic emissions.  This thesis presents a 2,300-year time-series record of six heavy metals from a new high-resolution coastal ice core from the Ross Sea region of Antarctica. Roosevelt Island is an ice dome located in the north-eastern Ross Ice Shelf, and a 763m deep ice core was collected over two field seasons as part of the Roosevelt Island Climate Evolution (RICE) project. In addition to 31 other trace elements, concentrations of iron, aluminium, manganese, lead, arsenic, and thallium were measured using inductively coupled plasma mass spectrometry (ICPMS) in the RICE ice core, snow pit, and snow precipitation samples. Sample resolution over the 20th century is extremely high (~1.6 months per sample), with ~four-year resolution extending the record back to 2,300 years ago.  We use this record to first determine the representativeness of the RICE ice core to Southern Hemisphere atmospheric concentrations of heavy metals, and find that concentrations in snow precipitation are strongly linked to meridional air mass pathways from the South Pacific. Local deposition characteristics and heavy metal seasonality are also examined in the surface snow. The natural sources and variability of the six heavy metals are explored through the last ~2,000 years, and this provides the context for examining changes over the 20th century. We find that iron, aluminium, and manganese are strongly associated with crustal dust and do not exhibit source changes over the 20th century, though significant increases in concentration may be due to anthropogenically induced increases in atmospheric dust. Even when increased variability due to recent increased efficiency of atmospheric transport is taken into account, the change in source emission strength dominates the concentration increases in these elements recorded in the RICE ice core. Thallium concentrations do not increase over the 20th century, and are likely linked to local volcanism. Both lead and arsenic concentrations increase significantly over the 20th century, with the pattern in lead concentrations closely matching existing Antarctic records. These increases are linked to anthropogenic emissions, with peaks during the 1970s and 1980s up to 400% higher than pre-industrial concentrations – well outside the natural variability. However, the ice core record shows a decreasing trend in concentrations of these elements from the mid-1990s to the present. Arsenic concentrations return to within pre-industrial variability, and the timing of this trend coincides with increasing efforts of policy makers in Southern Hemisphere countries to regulate industrial emissions and to promote public awareness of heavy metal pollutants.</p>


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