The main objective of this study was to determine the concentration of cadmium, chromium, copper, nickel, lead, and zinc in surface soils of two land uses including agricultural and urban green space in Semnan Province, Iran. For this purpose, the soil samples of 27 urban green space and 47 agricultural fields were collected and analyzed. The correlation coefficients, analysis of variance, principal component analysis, cluster analysis, and geoaccumulation index were utilized to compare the mean values in the two land uses and pinpoint the possible sources of contamination in the study area. The average contents of Cd, Cu, Cr, Ni, Pb, and Zn in green space soils were 0.1, 24.9, 78.7, 28.2, 22.1, and 82.1 mg/kg, respectively, while the mean concentrations of Cd, Cu, Cr, Ni, Pb, and Zn in agricultural soils were 0.3, 24.3, 83.7, 33.3, 18.1, and 80.4 mg/kg, respectively. The mean concentrations of lead, copper, and zinc were higher in urban green space in comparison with those of agricultural fields, while it was vice versa for chromium, cadmium, and nickel. In general, significant, but weak, correlations were observed between Zn with Pb (r = 0.53) and Cu (r = 0.61) and Ni with Cr (r = 0.55) and Cu(r = 0.51). The main sources of contamination turned out to be both natural and anthropogenic as the results of correlation coefficients, principal component analysis, and cluster analysis showed. That is to say, chromium and nickel had emanated from natural while the sources of cadmium, lead, and zinc could be attributed to anthropogenic activities. For the case of copper, both natural and anthropogenic activities were influential; however, the role of human activities was more effective. The results of contamination assessment showed that heavy metal contamination in agricultural land use was higher than green space indicating the role of human activities in this respect.
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http://dx.doi.org/10.1007/s10661-015-4973-9 | DOI Listing |
J Imaging
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Laboratoire Imagerie et Vision Artificielle (ImVia), Université de Bourgogne, 21000 Dijon, France.
Determining the maturity of cocoa pods early is not just about guaranteeing harvest quality and optimizing yield. It is also about efficient resource management. Rapid identification of the stage of maturity helps avoid losses linked to a premature or late harvest, improving productivity.
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Environment Institute, University of Adelaide, Adelaide, SA.
ACS Appl Mater Interfaces
December 2024
College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China.
High-performance, environmentally friendly indium phosphide (InP)-based quantum dots (QDs) are urgently needed to meet the demands of rapidly evolving display and lighting technologies. By adopting the highly efficient and cost-effective one-pot method and utilizing aluminum isopropoxide (AIP) as the Al source, a series of Al-doped InP/(Al)ZnS QDs with emission maxima ranging from 480 to 627 nm were synthesized. The photoluminescence quantum yield (PLQY) of the blue, green, yellow, orange, and red QDs, with emission peaks at 480, 509, 560, 600, and 627 nm, reached 34%, 62%, 86%, 96%, and 85%, respectively.
View Article and Find Full Text PDFHealth Econ
December 2024
Faculty of Business, Economics and Social Sciences, University of Hamburg, Hamburg, Germany.
The discussion on tackling childhood obesity is often centered around fostering physical activity. A potential relationship yet overlooked could run from providing the proper environment for healthy lifestyles to reduced weight problems. A unique quasi-experimental setting of transforming former airport grounds to a large urban green space allows me to apply a difference-in-differences approach within an intention-to-treat framework, comparing several weight outcomes of residential children to children living further away before and after park opening.
View Article and Find Full Text PDFJ Environ Manage
December 2024
School of Business Administration, Chongqing Vocational College of Light Industry, Chongqing, 400065, China. Electronic address:
Green technology innovation (GTI) breaks the vicious cycle of "economic development-environmental pollution," mitigating the supply chain carbon emissions. Previous research focused on exploring supply chain GTI decision-making in the discrete strategy space and ignored the effect of stochastic factors. This paper, grounded in the classical evolutionary game theory, explores the interaction mechanism of supply chain GTI decision-making between suppliers and manufacturers under stochastic interferences and in the continuous strategy space.
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