Performance evaluation of nanotubular halloysites from weathered pegmatites in removing heavy metals from water through novel artificial intelligence-based models and human-based optimization algorithm.

Chemosphere
Bui Hoang BacDo Manh An

Abstract

The efforts of this study aimed to evaluate the feasibility of the nanotubular halloysites in weathered pegmatites (NaHWP) for removing heavy metals (i.e., Cd2+, Pb2+) from water. Furthermore, two novel intelligent models, such as teaching-learning-based optimization (TLBO)-artificial neural network (ANN), and TLBO-support vector regression (SVR), named as TLBO-ANN and TLBO-SVR models, respectively, were proposed to predict the Cd2+ and Pb2+ absorption efficiencies from water using the NaHWP absorbent. Databases used, including 53 experiments for Pb2+ absorption and 56 experiments for Cd2+ absorption from water, under the catalysis of different conditions, such as initial concentration of Pb2+ and Cd2+, solution pH, adsorbent weight, and contact time. Subsequently, the TLBO-ANN and TLBO-SVR models were developed and applied to predict the efficiencies of Cd2+ and Pb2+ absorption from water, aiming to evaluate the role as well as the effects of different conditions on the absorption efficiencies using the NaHWP absorbent. The standalone ANN and SVM models were also taken into consideration and compared with the proposed hybrid models (i.e., TLBO-ANN and TLBO-SVR). The results showed that the NaHWP detected in a Kaolin mine (Viet...Continue Reading

References

Oct 12, 2010·Journal of Hazardous Materials·Maryam Ahmadzadeh Tofighy, Toraj Mohammadi
Apr 7, 2017·Reviews on Environmental Health·Ritu Singh RajputSeema Bhadauria
Jun 16, 2019·Journal of Hazardous Materials·Xinzhe ZhuYong Sik Ok
Sep 9, 2019·Environmental Science and Pollution Research International·Sneh LataSukha Ranjan Samadder
Nov 25, 2019·Environmental Science and Pollution Research International·Ali MagedAmit Bhatnagar

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