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Advances in Nano Research
  Volume 12, Number 6, June 2022 , pages 549-566
DOI: https://doi.org/10.12989/anr.2022.12.6.549
 


Effects of mining activities on Nano-soil management using artificial intelligence models of ANN and ELM
Qi Liu, Kang Peng, Jie Zeng, Riadh Marzouki, Ali Majdi, Amin Jan, Anas A. Salameh, Hamid Assilzadeh

 
Abstract
    Mining of ore minerals (sfalerite, cinnabar, and chalcopyrite) from the old mine has led in significant environmental effects as contamination of soils and plants and acidification of water. Also, nanoparticles (NP) have obtained global importance because of their widespread usage in daily life, unique properties, and rapid development in the field of nanotechnology. Regarding their usage in various fields, it is suggested that soil is the final environmental sink for NPs. Nanoparticles with excessive reactivity and deliverability may be carried out as amendments to enhance soil quality, mitigate soil contaminations, make certain secure land–software of the traditional change substances and enhance soil erosion control. Meanwhile, there's no record on the usage of Nano superior substances for mine soil reclamation. In this study, five soil specimens have been tested at 4 sites inside the region of mine (<100 m) to study zeolites, and iron sulfide nanoparticles. Also, through using Artificial Neural Network (ANN) and Extreme Learning Machine (ELM), this study has tried to appropriately estimate the mechanical properties of soil under the effect of these Nano particles. Considering the RMSE and R2 values, Zeolite Nano materials could enhance the mine soil fine through increasing the clay-silt fractions, increasing the water holding capacity, removing toxins and improving nutrient levels. Also, adding iron sulfide minerals to the soils would possibly exacerbate the soil acidity problems at a mining site.
 
Key Words
    ANN; artificial intelligence models; ELM; management; mining activities; nano-soil; toxin
 
Address
Qi Liu: School of Resources and Safety Engineering, Central South University, Changsha 410083, China/ Changsha Institute of Mining Research Co., LTD, Changsha 410083, China

Kang Peng: School of Resources and Safety Engineering, Central South University, Changsha 410083, China

Jie Zeng: School of Traffic and Municipal Engineering, Chongqing Jianzhu College, Chongqing 400072, China

Riadh Marzouki: Chemistry Department, College of Science, King Khalid University, Abha 61413, Saudi Arabia

Ali Majdi: Department of Building and Construction Techniques, Al- Mustaqbal University College Babylon 51001, Iraq

Amin Jan: Faculty of hospitality, Tourism and Wellness, Universiti Malaysia Kelantan, City Campus, 16100, Kota Bharu, Kelantan Malaysia

Anas A. Salameh: Department of Management Information Systems, College of Business Administration, Prince Sattam Bin Abdulaziz University, 165 Al-Kharj 11942, Saudi Arabia

Hamid Assilzadeh: Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences,
Chennai 600 077, India
 

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