Assessment of Heavy Metals Contamination in Roadside Soil Dust in Doon Valley, Uttarakhand

2016 ◽  
Vol 39 (1) ◽  
pp. 45-49
Author(s):  
Sohni Sinha ◽  
A.K. Tripathi
Keyword(s):  
Heavy Metals ◽  
Industrial Area ◽  
Control Site ◽  
Roadside Soil ◽  
Soil Dust ◽  
Industrial Sites ◽  
Top Soil ◽  
Heavy Metals Contamination ◽  
The Mean ◽  
And Control

The accumulation of heavy metals in soil at roadside has been studied by the analysis of top soil/dust samples. Concentration of the elements Co, Cr, Pb and Cd were measured on 39 top soil/dust samples collected from near the highways, industrial area and control site. The samples were analysed for Zn, Cu, Fe, Mn, Pb, Cd, Ni, and Cr by using atomic absorption spectrophotometer (AAS). The mean concentrations of Co, Cr, Pb and Cd were 0.390, 0.090, 2.195 and 0.094 mg kg-1, respectively. Data obtained from analysis, were statistically examined to know the distribution of metals in different highways and industrial area. The results showed that the topsoil/dust near the highway and industrial sites had significantly enrichment particularly Pb than control sites.

scholarly journals Concentration of the PM2.5 according to the sampling areas associated with the concentration of heavy metals and anions in Penang

2021 ◽  
Vol 9 (1) ◽  
pp. 13-19
Author(s):  
Suvennie Saseetheran ◽  
Bawani Selvam ◽  
Norrimi Rosaida Awang ◽  
Mahani Yusoff ◽  
Abdus Salam Mohamed
Keyword(s):  
Heavy Metals ◽  
Meteorological Parameters ◽  
Pearson Correlation ◽  
Industrial Area ◽  
Icp Ms ◽  
The Mean ◽  
And Control ◽  
Mean Concentration ◽  
Pm2.5 Concentration ◽  
Descriptive Statistical Analysis

Particulate matter (PM) was identified as the main air pollutants in Malaysia which directly impose a treat to human health and understanding this pollutant is also crucial for its mitigation and control. This study aims to determine and characterize the PM2.5 with the influence of meteorological parameters. The PM2.5 samples were collected at Perai, Nibong Tebal and highway of Penang Bridge represented the industrial, residential, and roadside areas of Mainland Penang, respectively. The descriptive statistical analysis was conducted to understand the variations of PM2.5 concentration on the study areas, while its relationship with meteorological parameters were tested using Pearson correlation. Eleven heavy metals and three anions were determined using mass spectrometry (ICP-MS) and Ion Chromatography, respectively. Results showed that the mean concentration of PM2.5 are 10.88 ?g/m³, 31.96 ?g/m³, and 39.35 g/m³ for residential area, industrial area, and roadside, respectively. The results revealed that mean concentrations of PM2.5 (39.35 ?g/m³) in the roadside are significantly higher than NAAQG 24-h average of 35 ?g/m³. Result also suggested that meteorological parameters were lest significant in controlling the PM2.5 concentrations as only the air pressure was found to be significant with the value of correlation coefficient of 0.476. The major components such as SO42-, K and Na account for about 70-90% of the PM2.5.

scholarly journals Simulation of Heavy Metals Migration in Soil-Wheat System of Mining Area

2019 ◽  
Vol 16 (14) ◽  
pp. 2550 ◽  
Author(s):  
Aman Fang ◽  
Jihong Dong ◽  
Ru Zhang
Keyword(s):  
Heavy Metals ◽  
Regression Coefficient ◽  
Quality Standards ◽  
Mining Area ◽  
Control Site ◽  
National Guidelines ◽  
The Mean ◽  
Cr Concentration ◽  
Relationship Of ◽  
Soil Wheat

Heavy metals in the soil of mining areas have become a primary source of pollution, which could cause deleterious health effects in people exposed through soil-plant systems via multi-pathways. A long-term field experiment under natural conditions was carried out to explore the distribution characteristic and migration law of heavy metals in a soil-wheat system of a mining area in Xuzhou. According to the second level standard of environmental quality standards for soils of China (GB 15618-1995), 30.8 g of CrCl3·6H2O, 8.3 g of Pb(CH3COO)2·3H2O, and 16.5 g of ZnSO4·7H2O were added into the soil of three experimental sites, respectively. The other experimental site with no additional compounds was used as the control site. The Cr, Pb, and Zn concentrations in the soil-wheat system were counted and their corresponding migration models were constructed. From 2014 to 2017, the mean concentrations of Cr (49.09 mg·kg−1), Pb (20.08 mg·kg−1), and Zn (39.11 mg·kg−1) in the soil of the addition sites were higher than that of the control site. The mean concentrations of Cr, Pb, and Zn in wheat of the addition sites were greater than that of the control site with the values of 3.29, 0.06, and 29 mg·kg−1. In comparison, the Cr, Pb, and Zn concentrations in the soil of all experimental sites were lower than the second level standard of environmental quality standards for soils of China (GB 15618-1995), whereas the Cr concentration exceeded its corresponding soil background value of Xuzhou in 2017. The Pb concentration in soil of the addition site was greater than its corresponding background value from 2014 to 2016. The Pb and Zn concentrations in wheat of all experimental sites were lower than the national hygienic standard for grains of China (GB2715-2005) and the national guidelines for cereals of China (NY 861-2004), but the Cr concentration significantly exceeded the national guidelines for cereals of China (NY 861-2004). By constructing the Identical-Discrepant-Contrary (IDC) gray connection models, the result showed that there was a non-linear relationship of Cr, Pb, and Zn concentrations in the soil-wheat system, and the absolute values of most correlation coefficients r were lower than 0.5 and the values of greyness f G ( r ) were more than 0.5. The curvilinear regression models could not reflect the relationship of Cr, Pb, and Zn concentrations in the soil-wheat system with the regression coefficient r 2 values far less than 1. Due to the values of regression coefficient r 2 being close to 1, this study suggested that the allocation estimation models could be used for simulating the Cr, Pb, and Zn migration in the soil-wheat system of a mining area in Xuzhou.

scholarly journals CAN INDUSTRIALIZATION AFFECT HEAVY METALS BIOCONCENTRATION IN DATE PALM TREE FARMS IN THE SULTANATE OF OMAN?

2019 ◽  
Vol 50 (Special) ◽  
Author(s):  
Al-Shali & et al.
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Inductively Coupled Plasma ◽  
Date Palm ◽  
Heavy Metal Concentration ◽  
Industrial Area ◽  
Palm Tree ◽  
Sultanate Of Oman ◽  
Industrial Sites ◽  
Palm Fruits

Purpose Industrialization is leading to gradual accumulation of heavy metals in the date palm fruits and ecosystem. This paper aims at estimating the bioaccumulation of  heavy metals in soils, fruits (dates) near the industrial area of Al-Rusail in the Sultanate of Oman. There were three sites located for sampling and each with three farms except site 3 with one farm; industrial site, cement factory and control farm. The soil, water and date palm fruits were analyzed for heavy metals concentration using inductively coupled plasma optical emission spectrometer. The results of  analysis showed that the mean concentration of heavy metals in soil was in the following order: Ni> Zn > Pb > Cd. The concentration of heavy metals in the groundwater was found to be in this order Zn > Ni> Pb> Cd, and Zn> Pb > Ni > Cd in fruits. The statistical interaction of heavy metal mean concentrations indicated cadmium with the highest mean (0.007117mg/kg) in Farm 1 during the month of June at 0-30cm (mg/kg) in soil under Industrial sites. The fruit stages differ statistically with the highest concentration of zinc ranging from 0.190517 mg/Kg of khalal stage of farm 1 to the 0.03127 mg/kg of the control farm. groundwater heavy metal concentration was very low across the farms with the least (Cd at 0.0002434mg/Kg) in control site and not statistically different from other sites' farms.In general, the research indicated an increases in the heavy metal concentrations with closeness to industrial sites.

scholarly journals Phytoremediation of Potentially Toxic Element via Absorbtion and Translocation by Naturally Grown Plants Calotropis Procera and Solanum Nigrum from Polluted Agricultural Field Near by Industrial Area, Chinhat Lucknow U.P.(India)

2019 ◽  
Vol 8 (2S10) ◽  
pp. 489-493
Keyword(s):  
Plant Species ◽  
Agricultural Land ◽  
Industrial Area ◽  
Control Site ◽  
Solanum Nigrum ◽  
Calotropis Procera ◽  
Agricultural Field ◽  
And Control ◽  
Contaminated Area ◽  
Accumulator Plant

Phytoremediation is an eco-friendly and has beeen defined as the in situ use of plants to stabilise, remediate, and reduce or restore contaminated soil. Current research was conducted to know the best accumulator plants Forcontaminated agricultural land, of potentially trace elements in soil and plants. Total Fe, Cu, Zn and Pb, have been estimated in soil and plant species of contaminated and control site. Two plants species calotropis procera and solanum nigrum from contaminated and non-contaminated area has been taken. It is revealed that Solanum Nigrum and CalotropisProcera growing in contaminated area can accumulate some of the PTE (Potentially Toxic Elements) like Fe, Cu, Zn and Pb. Surprisingly, naturally grown plants show highly accumulated metals and which can be used as a best accumulator plant species in the heavily contaminated area.We suggest the cultivation of these plants species because it can be used as a best accumulator plant species. This research will show in selection of best plant species for growing in contaminated area

scholarly journals Changing Pattern of Heavy Metals Accumulation in and around in Ship breaking Area Over the 40 years and Its Impact on Fish Diversity in Adjacent Areas of Bangladesh

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Prabal Barua ◽  
Syed Hafizur Rahman ◽  
Maitri Barua
Keyword(s):  
Heavy Metals ◽  
Control Site ◽  
Soil Samples ◽  
Fish Diversity ◽  
Metal Analysis ◽  
Heavy Metal Analysis ◽  
Heavy Metals Accumulation ◽  
Ship Breaking ◽  
Metals Accumulation ◽  
And Control

Abstract Coastal area of Bangladesh is one of the significant ecologically productive areas and full of rich biodiversity that includes variety of species that are endemic to this region. The Shipbreaking activity has turned out to be more significant within the economic situation of the poverty-stricken Bangladesh. The study vicinity was alienated into the Shipbreaking zone and control site for proportional investigation. The study was administered to assess the changing pattern of the concentration of trace metals in soil Soil samples of the study areas and its impact on fish diversity of the ship breaking area in Bangladesh over the 40 years. From the finding of the study, it had been found that the concentration of the heavy metals found within the ship breaking area followed a pattern within the following fashion Fe>Pb>Cr>Mn>Zn>Ni>Cu>Cd>Hg. The finding of this heavy metal analysis of sediments demonstrated that there has been in an increment of two to eight times of selected heavy metals from the finding of 1980 to 2019. The study compared with the two relatively pristine or less impacted (undisturbed) areas, that served because of the reference zone. These studies also found that about 30 species of fishes became irregular or are threatened with extinction than they were 40 years ago.

scholarly journals Microelements and heavy metals in raw cow milk from various regions in Serbia

2013 ◽  
Vol 67 (5-6) ◽  
pp. 317-328 ◽  
Author(s):  
Milica Zivkov-Balos ◽  
Sandra Jaksic ◽  
Zeljko Mihaljev ◽  
Zeljko Cupic ◽  
Igor Stojanov ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Rural Areas ◽  
Animal Feed ◽  
Raw Milk ◽  
Industrial Area ◽  
Atomic Absorption Spectrophotometry ◽  
Cow Milk ◽  
The Mean ◽  
Mean Concentration ◽  
Feed Samples

In this study, the investigation results of raw milk and animal feed samples from farms located around industrial areas and from rural areas in Serbia are presented. Various microelements and heavy metals (Zn, Cu, Fe, Pb and Cd) were determined by atomic absorption spectrophotometry (AAS). Mean concentration of Zn, Cu, Fe and Cd in raw milk were 5.94, 0.239, 2.034 and below 0.005 mg/kg, respectively. The mean lead concentration found in milk from a farm located near industrial area was 0.242?0.166 mg/kg (mean Pb concentrations for other four investigated farms were below 0.05 mg/kg). The obtained results indicate that particular attention should be paid to control of Pb residues in food, water and environment.

Combined effects of heavy metals and parasite infections on the haematological and biochemical profiles of wild rats from Awotan Municipal Dumpsite in Ibadan City

2021 ◽  
Vol 42 (2) ◽  
pp. 316-325
Author(s):  
S.A. Adeyemo ◽  
J.K 1Ogundayomi ◽  
O.A. Morenikeji
Keyword(s):  
Heavy Metals ◽  
Rattus Rattus ◽  
Condition Index ◽  
Intestinal Helminths ◽  
Body Condition Index ◽  
Blood Samples ◽  
Wild Rats ◽  
The Mean ◽  
And Control ◽  
Kidney Liver

The combined effects of heavy metals and parasitic infections on wild rats from Awotan municipal dumpsite in Ibadan city southwest Nigeria were determined. A total of thirty rats were captured from the dumpsite and five rats from a control site using live traps. Rats were identified, weighed and body length measured to determine body condition index. Blood samples were collected from the rats using the cardiac puncture method. Rats were euthanized and dissected to extract various organs (kidney, liver and intestine). Intestinal helminths were extracted, identified and preserved. Blood parasites were identified using Giemsa staining technique of thick and thin films while intestinal helminths recovered were preserved and identified to species level. Organs, intestinal helminths and blood samples were digested and concentrated for heavy metals (Fe, Cu, Cr, Cd, and Pb) using Atomic Absorption Spectrophotometry (AAS). Cortisol level was determined using ELISA technique. All statistical significance was at probability value p < 0.05. Three species of rats were captured, Rattus rattus, Rattus novergicus and Cricetomys gambianus. The mean ± sd of the body condition index of the rats from dumpsite and control groups were 1.82±0.17 and 1.59± 0.38 respectively. There were significant differences in the mean values of eosinophils, platelets and white blood cell counts of rats from the two study sites. Overall parasite prevalence in dumpsite and control were 76.6% and 20% respectively. The overall prevalence of parasite  species from dumpsite was in the order Hymenolepis diminuta (26.6%) >Monoliformis monoliformis (20%) >Plasmodium spp (20%) >Trypanosoma spp (10%). The mean concentration (mg/kg) of heavy metals in kidney, liver, intestine and blood of wild rats from both dumpsite and control decreased in the order Fe> Cr> Cu> Cd> Pb. Cortisol level was higher in infected rats from dumpsite (351±58.83ng/ml) than in uninfected rats from dumpsite (237.22± 44.46ng/ml), indicating exposure to immune stressors. A higher prevalence of parasitic infection, heavy metal pollution and the elevated cortisol concentrations in infected rats showed that the animals’ health and well-being are compromised.

scholarly journals Application of pollution assessment models in soil contaminated by heavy metals in two steel rods markets, Port Harcourt, Rivers State, Nigeria

2021 ◽  
Vol 9 (2) ◽  
pp. 025-035
Author(s):  
Edori ES ◽  
Iyama WA ◽  
Edori OS
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Risk Index ◽  
Pollution Assessment ◽  
Potential Ecological Risk ◽  
Control Site ◽  
Contamination Degree ◽  
Port Harcourt ◽  
The Mean ◽  
Rivers State

Soil samples were collected at a depth of 0-30cm within two steel markets and a control site in Port Harcourt, Rivers State Nigeria to assess the level of heavy metals (Fe, Pb, Cu, Cd, Cr, Ni and As) in the environment. Atomic Adsorption Spectrophotometer was used to analyze the samples for heavy metals. The concentrations of all the heavy metals in the steel rods markets exceeded that of the control. The results indicated that heavy metals concentrations in the sites were in the order; Mile III > Kala > RSU. The average levels of contamination of heavy metals recorded followed the order Fe > Cr > Cu > Pb > Ni > As > Cd in Mile III, Fe > Pb > Cu > Cr > Ni > As > Cd in Kala and Fe > Cu > Pb > Cr > Ni > As > Cd in RSU (control). Mean concentrations obtained for heavy metals within the months of investigation were; 1420.931±9.155, 7.753±0.184, 8.730±0.050, 2.843±0.124, 9.428±0.122, 7.433±0.047 and 3.732±0.047 mg/Kg for Fe, Pb, Cu, Cd, Cr, Ni and As respectively at the mile III station, while the mean concentrations of heavy metals observed at the Kala station were; 1161.173±1.823, 9.425±0.054, 7.596±0.027, 1.425±0.020, 6.507±0.006, 5.455±0.033 and 1.901±0.010 mg/Kg for Fe, Pb, Cu, Cd, Cr, Ni and As respectively. The mean values of heavy metals concentrations observed at the RSU station within the period were; 892.064±1.025,5.603±0.007, 5.841±0.051, 0.173±0.005, 3.389±0.009, 2.309±0.010 and 0.706±0.006 mg/Kg for Fe, Pb, Cu, Cd, Cr, Ni and As respectively. Pollution assessment models used for assessing the anthropogenic input on the quality of the soil in the area using the control site as the basis of judgment were: contamination factor (CF), pollution load index (PLI), contamination degree (CD), modified contamination degree (mCD), potential ecological risk coefficient (Eir), potential ecological risk index (RI), Geo-accumulation index (Igeo) and anthropogenicity. These indices revealed that the steel markets were contaminated and polluted and poses ecological risks by heavy metals, even though the values obtained were still below the WHO acceptable limits. The steel rods markets need to be adequately monitored and regulated to avoid further soil contamination by heavy metals to a degree that will be dangerous to human health.

Evaluation of heavy metals contamination in soils at Peenya Industrial Area, Bengarulu, India

2020 ◽  
Vol 13 (17) ◽  
Author(s):  
Ratnakar Dhakate ◽  
Gunnam Venkata Ratnalu ◽  
Duvva Laxmankumar
Keyword(s):  
Heavy Metals ◽  
Industrial Area ◽  
Heavy Metals Contamination

scholarly journals Determination of selected heavy metals in airborne particles in industrial area: A baseline study

2018 ◽  
Vol 14 (2) ◽  
pp. 251-256
Author(s):  
Azman Azid ◽  
Siti Noor Syuhada Muhammad Amin ◽  
Saiful Iskandar Khalit ◽  
Salwani Ismail ◽  
Mohd Saiful Samsudin ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Inductively Coupled Plasma ◽  
Industrial Area ◽  
Southwest Monsoon ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
The Mean ◽  
Mean Concentration

This study focuses on airborne heavy metal pollution in the industrial area. Eight points from Paka and Gebeng Industrial Area respectively were selected for this study within two monsoon seasons. The samples were analysed for heavy metals (Cd, As, Cu, Fe, Ni, Pb, and Zn) by using inductively coupled plasma mass spectrometry (ICP-MS). The results showed that the mean concentration value of As, Pb and Cd for Paka were 5.0 ng/L ± 1.0, 107.0 ng/L ± 88.2, and 10.0 ng/L ± 7.5, respectively and Gebeng were 3.5 ng/L ± 1.5, 69.3 ng/L ± 59.3 and 5.1 ng/L ± 3.8, respectively in the southwest monsoon - much higher than the target value by European Commission in Directive 2004/107/EC and Directive 2008/50/EC. It could be concluded that the industrial and transportation emission were the major source of heavy metals in the atmosphere along the Paka and Gebeng Industrial Area. 

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