An Evaluation on Heavy Metal Contamination of Soils in Suzhou by Fuzzy Mathematics Model

2012 ◽  
Vol 253-255 ◽  
pp. 1005-1008 ◽  
Author(s):  
Qi Li ◽  
Ya Fen Han
Keyword(s):  
Heavy Metal ◽  
Heavy Metal Contamination ◽  
Sampling Site ◽  
Industrial Area ◽  
Fuzzy Mathematics ◽  
Mathematics Model ◽  
Commercial Area ◽  
Suzhou City ◽  
Fuzzy Mathematics Model ◽  
Fluorescence Spectrometer

In this paper, concentrations of six heavy metals (Cr, Mn, Cu, Zn, As, Pb, Fe) in soils from different function zones of Suzhou city were determined and analysed by X-Ray fluorescence spectrometer and fuzzy mathematics model. The results show that concentrations of all except Zn were within the national second class standard, but that of all heavy metal were higher in soil background values in Anhui province; concentrations of heavy metal were different in different function areas, and heavy metal pollution was more serious in commercial area, industrial area and near the station than in residential suburb, cultural and education districts; the contaminate level of every sampling site by fuzzy mathematics model was: 7>19>6>9>14>1>17>20>4>11> 23>8>22>3>10>12>5> 16>15>2>13>18>21.

Heavy metal contamination in sediments of Balanagar industrial area, Hyderabad, Andra Pradesh, India

2012 ◽  
Vol 7 (2) ◽  
pp. 513-525 ◽  
Author(s):  
G. Machender ◽  
Ratnakar Dhakate ◽  
S. T. Mallikharjuna Rao ◽  
B. Mangaraja Rao ◽  
L. Prasanna
Keyword(s):  
Heavy Metal ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Industrial Area

Environmental Susceptibility: Soil Contamination of Heavy Metals in the Territory of E-Waste Recycling Area

2017 ◽  
Vol 3 (01) ◽  
pp. 25-31 ◽  
Author(s):  
Charu Gangwar ◽  
Aprajita Singh ◽  
Raina Pal ◽  
Atul Kumar ◽  
Saloni Sharma ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Negative Impact ◽  
Contamination Factor ◽  
Industrial Area ◽  
Waste Recycling ◽  
Pollution Load Index ◽  
Physiological Analysis

E-waste is a popular name given to those electronic products nearing the end of their useful life which has become a major source of heavy metal contamination in soil and hence, became the global concern. Various samples of soil were collected from different sites and were determined for heavy metal analysis by the ICP-AAS after the digestion process. The main source of contamination is illegal e-waste recycling activities such as burning of PCB's acid baths etc. Different soil indices like contamination factor, I-geo, pollution load index, were calculated to determine the quality of the soil. Results indicate that e-waste recycling and industrial area are strongly contaminated by the heavy metals. Physiological analysis of soil revealed that e-waste processing and industrial activities decrease the soil pH and organic matter while enhancing the electrical conductivity of soil. The exceedance of metal contamination imposed negative impact to the soil environment and human health.

Distribution Characteristics of Zn Content and its Pollution Assessment in Suzhou Street Dusts

2012 ◽  
Vol 534 ◽  
pp. 239-243 ◽  
Author(s):  
Dong Sheng Xu
Keyword(s):  
Pollution Assessment ◽  
Industrial Area ◽  
Street Dust ◽  
Zn Content ◽  
Accumulation Index ◽  
Ecological Risk Evaluation ◽  
Suzhou City ◽  
Business District ◽  
Fluorescence Spectrometer ◽  
Functional Areas

After selecting 23 samples from street pavement dust in Suzhou city, this article analyzed the Zn content in street dust with X-RF fluorescence spectrometer analysis and carried on the ecological risk evaluation. The results show that the Zn content in Suzhou street dusts is from 121 to 538 (mg / kg), and distribution characterized of different functional areas as follows: the business district > the vicinity of the station>the rest area of culture and education > the residential area> the industrial area; the accumulation index values is between 0.76 and 1.78, which is non-polluting or moderately polluted.

Lead Pollution and its Assessment of Roadside Soils in Suzhou City

2012 ◽  
Vol 534 ◽  
pp. 235-238
Author(s):  
Qi Li
Keyword(s):  
Green Space ◽  
Lead Concentration ◽  
Geoaccumulation Index ◽  
Sampling Site ◽  
Residential Areas ◽  
Roadside Soils ◽  
X Ray ◽  
Average Value ◽  
Suzhou City ◽  
Fluorescence Spectrometer

Concentrations of lead in roadside soils from different function areas of Suzhou City were determined and analysed by X-Ray fluorescence spectrometer, and the method of geoaccumulation index. The results indicate that the concentrations of lead in roadside soils range from 23 to 90 mg/kg, with an average value of 37.11 mg/kg, exceeded the environment background value; the lead concentration from high to low is commercial areas, areas around station, industrial areas, urban green space and residential areas; most of roadside soils have not been polluted or only slightly polluted, except sampling site 19, 23 and 49 (moderate pollution).

scholarly journals Evaluation of heavy metal contamination in sediments of the Seybouse River, Guelma – Annaba, Algeria

2019 ◽  
Vol 40 (1) ◽  
pp. 81-86 ◽  
Author(s):  
Hanane Talbi ◽  
Slimane Kachi
Keyword(s):  
Heavy Metal ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Wastewater Treatment Plants ◽  
Sediment Toxicity ◽  
Sampling Site ◽  
River Sediments ◽  
Contamination Factor ◽  
Anthropogenic Pollution ◽  
Metallic Elements

Abstract The surface sediments of Seybouse River and its affluents have been studied and assessed to determine their degree of heavy metal contamination (Cd, Pb, Cu, Ni, Zn and Fe). The contamination factor (CF), the contamination degree (CD) and statistical tools (correlation and APC) has been used in assessing: metal contamination, sediment toxicity and to identify the origin of metals which have enriched the sediments. Heavy metals concentrations of sediments are generally heterogeneous and vary according to the metal and the sampling site. The results have been compared to the reference values of the unpolluted sediments and have shown that Seybouse River sediments are more contaminated by Pb, Cd and Zn respectively. CF values indicate moderate to considerable contamination for most stations. CD values show that the most toxic sediments are located mainly at the estuary and downstream of large agglomerations. The matrix correlation between the metallic elements shows a very strong correlation between Pb, Cd, Cu and Zn indicating that they have a similar source. These different metallic elements appear as traces of anthropogenic pollution. Despite using wastewater treatment plants as protective measures, Seybouse River pollution is remaining a big issue and more efforts has to be done by local authorities.

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