A
Alok Kumar
Researcher at Central University of Rajasthan
Publications - 34
Citations - 564
Alok Kumar is an academic researcher from Central University of Rajasthan. The author has contributed to research in topics: Trace metal & Sediment. The author has an hindex of 12, co-authored 25 publications receiving 387 citations. Previous affiliations of Alok Kumar include Jawaharlal Nehru University.
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Multivariate statistical analysis and geochemical modeling for geochemical assessment of groundwater of Delhi, India
TL;DR: In this paper, the major hydro-geochemical process and impacts of anthropogenic activities can be deciphered using multivariate statistical analysis, conventional graphical plots and saturation indices, which is the most important source of drinking waters supply in the National Capital Territory (NCT) of, New Delhi, India.
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Distribution, enrichment, and potential toxicity of trace metals in the surface sediments of Sundarban mangrove ecosystem, Bangladesh: a baseline study before Sundarban oil spill of December, 2014
TL;DR: The correlation between various physiochemical variables and trace metals suggested significant role of fine grained particles (clay) in trace metals distribution whereas owing to low organic carbon content in the region the organic complexation may not be playing significant role in trace metal distribution in the Sundarban mangroves.
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Trace metal distribution, assessment and enrichment in the surface sediments of Sundarban mangrove ecosystem in India and Bangladesh.
TL;DR: Indian part have more polluted sites than Bangladesh side of Sundarban, which is confirmed by enrichment factor, I-geo and normalization values in both the sides.
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Hydrochemical characteristics of groundwater in the plains of Phalgu River in Gaya, Bihar, India
Rajesh Kumar Ranjan,Rajesh Kumar Ranjan,Al. Ramanathan,Purushothaman Parthasarathy,Alok Kumar +4 more
TL;DR: In this article, the chemical quality of groundwater of Gaya region has been studied in detail in order to delineate the potable groundwater zones, and principal component analysis was utilized to reflect those chemical data with the greatest correlation and seven major principal components representing >80 % of cumulative variance were able to interpret the most information contained in the data.
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Speciation of selected trace metals (Fe, Mn, Cu and Zn) with depth in the sediments of Sundarban mangroves: India and Bangladesh
TL;DR: In this paper, the distribution of trace metals in the world's largest mangrove ecosystem, Sundarban, in India and Bangladesh, was analyzed using a speciation technique to document the bioavailability and environmental hazards associated with operationally defined chemical forms of trace metal.