Study on physico-chemical properties and heavy metal content of the soil samples from Thane Creek of Maharashtra, India

2010 ◽  
Vol 11 (1) ◽  
pp. 38 ◽  
Author(s):  
P.U. Singare ◽  
R.S. Lokhande ◽  
P.P. Pathak
Keyword(s):  
Heavy Metal ◽  
Metal Content ◽  
Chemical Properties ◽  
Soil Samples ◽  
Heavy Metal Content ◽  
Physico Chemical ◽  
Thane Creek

scholarly journals Estimation of Soil Heavy Metal Content Using Hyperspectral Data

2019 ◽  
Vol 11 (12) ◽  
pp. 1464 ◽  
Author(s):  
Zhenhua Liu ◽  
Ying Lu ◽  
Yiping Peng ◽  
Li Zhao ◽  
Guangxing Wang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Content ◽  
Regional Scale ◽  
Soil Samples ◽  
Hyperspectral Data ◽  
Heavy Metal Content ◽  
Soil Heavy Metal ◽  
Relationship Of ◽  
The Relationship

Quickly and efficiently monitoring soil heavy metal content is crucial for protecting the natural environment and for human health. Estimating heavy metal content in soils using hyperspectral data is a cost-efficient method but challenging due to the effects of complex landscapes and soil properties. One of the challenges is how to make a lab-derived model based on soil samples applicable to mapping the contents of heavy metals in soil using air-borne or space-borne hyperspectral imagery at a regional scale. For this purpose, our study proposed a novel method using hyperspectral data from soil samples and the HuanJing-1A (HJ-1A) HyperSpectral Imager (HSI). In this method, estimation models were first developed using optimal relevant spectral variables from dry soil spectral reflectance (DSSR) data and field observations of soil heavy metal content. The relationship of the ratio of DSSR to moisture soil spectral reflectance (MSSR) with soil moisture content was then derived, which built up the linkage of DSSR with MSSR and provided the potential of applying the models developed in the laboratory to map soil heavy metal content at a regional scale using hyperspectral imagery. The optimal relevant spectral variables were obtained by combining the Boruta algorithm with a stepwise regression and variance inflation factor. This method was developed, validated, and applied to estimate the content of heavy metals in soil (As, Cd, and Hg) in Guangdong, China, and the Conghua district of Guangzhou city. The results showed that based on the validation datasets, the content of Cd could be reliably estimated and mapped by the proposed method, with relative root mean square error (RMSE) values of 17.41% for the point measurements of soil samples from Guangdong province and 17.10% for the Conghua district at the regional scale, while the content of heavy metals As and Hg in soil were relatively difficult to predict with the relative RMSE values of 32.27% and 28.72% at the soil sample level and 51.55% and 36.34% at the regional scale. Moreover, the relationship of the DSSR/MSSR ratio with soil moisture content varied greatly before the wavelength of 1029 nm and became stable after that, which linked DSSR with MSSR and provided the possibility of applying the DSSR-based models to map the soil heavy metal content at the regional scale using the HJ-1A images. In addition, it was found that overall there were only a few soil samples with the content of heavy metals exceeding the health standards in Guangdong province, while in Conghua the seriously polluted areas were mainly distributed in the cities and croplands. This study implies that the new approach provides the potential to map the content of heavy metals in soil, but the estimation model of Cd was more accurate than those of As and Hg.

scholarly journals Spatial Effects of Industrial Effluent on Soil Quality around the Textile Industrial Area of Bhaluka Upazila, Mymensingh

2016 ◽  
Vol 8 (2) ◽  
pp. 79-82
Author(s):  
N Tabassum ◽  
R Khatun ◽  
MA Baten
Keyword(s):  
Electrical Conductivity ◽  
Heavy Metal ◽  
Industrial Effluent ◽  
Chemical Properties ◽  
Nutrient Content ◽  
Industrial Area ◽  
Soil Samples ◽  
Spatial Effects ◽  
Physico Chemical ◽  
Properties Of Soil

The study was carried out to investigate the spatial effects of industrial effluent on physico-chemical properties of soil around the textile industrial area of Bhaluka upazila, Mymensingh, from January to March, 2015. Total 15 soil samples were collected at 0m, 50m, 100m, 200m and 300m distances from the effluent discharging point. Soil texture, pH, electrical conductivity (EC), organic matter (OM), nitrogen (N), phosphorus (P), potassium (K), sulphur (S), sodium (Na) and heavy metal (lead, Pb and cadmium, Cd) content were investigated in this study. Soil pH, EC, OM and nutrient content of soil were higher at discharge point (at 0m) and lowest at 300m distance. The Pb content was maximum (36.9 ppm) at 0m and minimum (24.27 ppm) at 300m distance. The highest value (3.0 ppm) of Cd was observed at 0m and lowest value (2.8 ppm) was at 300m distance. All of the studied values were higher at the adjacent of industrial area and gradually decreased with distance.J. Environ. Sci. & Natural Resources, 8(2): 79-82 2015

GROWTH PERFORMANCE OF Penthaclethra macrophylla Benth. AS AFFECTED BY BY-PRODUCTS FROM BATTERY FACTORY IN AKWA IBOM STATE, NIGERIA

2018 ◽  
Vol 14 (2) ◽  
pp. 72-84
Author(s):  
C O AKACHUKU ◽  
V P TOMBERE
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Growth Performance ◽  
Metal Content ◽  
Polluted Soil ◽  
Soil Samples ◽  
Heavy Metal Content ◽  
Branch Number ◽  
Significant Difference ◽  
High Concentrations

The study examined the effect of polluted soil on early growth performance of Pentaclethra macro-phlylla. The objectives of the study were to determine the heavy metal content of the soil and the effect on the growth of this species. Soil samples were collected from an abandoned Sunshine battery facto-ry in Essien Udim Local Government Area of Akwa Ibom State using soil auger. The samples, collect-ed at different soil depths and at various distances, were divided into two parts. A part was analysed in the laboratory to determine the heavy metal content of the soil using digestion and atomic absorption methods, while the other part was used in raising Pentaclethra macrophyla seedlings in polypots. The result of analysis of variance of the soil samples considering the distances showed significant differ-ence in the distribution of copper and lead only (P<0.05), while no significant difference occurred among the concentrations of all the heavy metals at different soil depths. The ranges of concentration of metals in the polluted soil samples in mg/kg were Zn (13.90-41.30), Bo (11.40-27.10), Cd (61.10-77.10), Cu (5.35-49.75), Pb (53.10-153.70), As (0.40-4.50) and Se (1.80-4.30), while the control rec-orded the least amount of Pb (2.40-4.30 mg/kg). On the average, seedlings raised in soils collected from the point of waste disposal (epicentre) had the least growth values in terms of total leaf number (166), stem height (21.90cm), branch number (1.4) and branchlet number (8.8). This signifies stunted growth, which is likely due to the high concentrations of Pb and Cu. Factories should therefore be compelled to eliminate heavy metals before disposing their waste into the environment.

scholarly journals The Physico-Chemical Composition and the Level of Metals From (Buletus Edulis) and (Cantharellus Cibarius) From the Vatra Dornei Area

2019 ◽  
Author(s):  
Igori Balta ◽  
Vioara Mireșan ◽  
Camelia Raducu ◽  
Adina Lia Longodor ◽  
Butucel Eugenia ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Inductively Coupled Plasma ◽  
Metal Content ◽  
Heavy Metal Content ◽  
Wild Mushrooms ◽  
Inductively Coupled ◽  
Physicochemical Composition ◽  
Physico Chemical ◽  
Icp Ms ◽  
Nutritional Compounds

In general, wild mushrooms are considered are an excellent source of valuable nutritional compounds but can exerttoxic potential due to the accumulation of heavy metals. In the present study the basic physicochemical composition (fat, protein, and moisture) and heavy metal content profile (Pb, Cd, Cs) of two popular edible wild mushrooms of the species Boletus edulis and Cantharellus cibarius harvested from the forests of Vatra Dorna, Romania were determined. Both investigated mushrooms samples demonstrated a good protein source with the means ranged from 1.58-2.91. In addition,analyzed mushrooms showed a low-fat content presenting values of 0.41- 0.45. Inductively coupled plasma massspectrometry technique (ICP-MS) presents heavy metal content from B. edulis and C. cibarius samples ranged from 0.9 - 0.12 for Pb and 0.16 - 0.25 for Cd, respectively

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