Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Heriot-Watt University

in Cooperation with on an Cooperation-Score of 37%

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Publications (1/1 displayed)

  • 2022Spatial distribution based on optimal interpolation techniques and assessment of contamination risk for toxic metals in the surface soil33citations

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Saha, Arnab
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Gupta, Bhaskar Sen
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Martínez-Villegas, Nadia
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2022

Co-Authors (by relevance)

  • Saha, Arnab
  • Gupta, Bhaskar Sen
  • Martínez-Villegas, Nadia
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article

Spatial distribution based on optimal interpolation techniques and assessment of contamination risk for toxic metals in the surface soil

  • Patidar, Sandhya
  • Saha, Arnab
  • Gupta, Bhaskar Sen
  • Martínez-Villegas, Nadia
Abstract

The condition of the soil environment is critical for human health and agricultural sustainability. As a result, the environmental and ecological issues impacting the soils throughout the world are receiving more attention. This research focuses on local site-specific studies in Cerrito Blanco, Matehuala municipality, San Luis Potosi, Mexico, and describes different types of GIS interpolation techniques, multivariate statistical analysis, and various contamination indices to investigate the relationship between predictive accuracy, levels of contamination risk, and soil toxic metal elements variation. Inductively coupled plasma optical emission spectroscopy (ICP-EOS) used to test 39 digested surface soil samples for significant toxic metals (Ag, Cd, Co, Cr, Li, and Ni) after suitable dilution with deionised water. According to the results, we found that only the mean value of cadmium (Cd) exceeded the permissible standard value. After evaluating the four types of interpolation techniques, the Inverse Distance Weighting (IDW) was determined to be the optimal interpolation model for assessing the spatial distribution patterns of toxic metal concentration in the research area. The calculated contamination risk indices showed no significant high contamination risk due to soil-borne toxic metals. These results provide a comprehensive analysis of the impact of past mining activities on toxic metal concentrations in non-cultivated surface soil.

Topics
  • impedance spectroscopy
  • surface
  • Cadmium