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Academic Journal of Environmental Biology, 2020, 1(3); doi: 10.38007/AJEB.2020.010303.

Environmental Bioremediation Technology of HM Pollution Based on Big Data Algorithm


Venpaty Velmugan

Corresponding Author:
Venpaty Velmugan

University of Peshawar, Pakistan


HM pollution(HMP) in soil has attracted worldwide attention due to its high hazard. In addition to reducing the absorption of soil nutrients by plants, heavy metals(HMs) also enter the human body through food, threatening human health. Therefore, it is of great significance to control the content of HM elements in soil and to remediate HM-contaminated soil. Taking soil HM remediation as an example, this paper uses the leaching technology of environmental bioremediation technology to remediate soil. Then, the removal effects of three degradable chelating agents(DCA), GLDA, IDS and EDDS, on Cd, Cu, and Pb at different concentrations and different LRTs were analyzed, and the leaching RR of HMs was calculated by big data algorithm. The experimental results show that the removal effect of HMs is the best when the leaching concentration(LC) of the DCA is 15mmol/L and the leaching reaction time(LRT) is 2h.


Big Data Algorithm, Heavy Metal Pollution, Environmental Bioremediation Technology, Leaching Technology

Cite This Paper

Venpaty Velmugan. Environmental Bioremediation Technology of HM Pollution Based on Big Data Algorithm. Academic Journal of Environmental Biology (2020), Vol. 1, Issue 3: 20-27. https://doi.org/10.38007/AJEB.2020.010303.


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