Study and analysis of wastewater treatment in the refining and chemical industry based on multidimensional data analysis

[1] Natte, K., Narani, A., Goyal, V., et al. (2020). Cover Picture: Synthesis of Functional Chemicals from Lignin-derived Monomers by Selective Organic Transformations (Adv. Synth. Catal. 23/2020). Advanced Synthesis & Catalysis, 362(23).Search in Google Scholar

[2] Polka, Marzena, Kvarcak, et al. (2015). Efficiency analysis of the sorbents used to adsorb the vapors of petroleum products during rescue and firefighting actions. Przemysl Chemiczny, 94(3), 331-335.Search in Google Scholar

[3] Pilarczyk, Janusz, Kowalewska, et al. (2017). Silicon in petroleum products. Technical problems and analytical challenges. Przemysl Chemiczny, 96(4), 781-786.Search in Google Scholar

[4] Zhang, L., Xing, B., Deng, B., et al. (2020). Oxidation of petroleum-based byproducts diformyltricyclodecanes (DFTD) with O2 under catalyst-free and ultra-low temperature. Chinese Journal of Chemical Engineering, 28(1), 266-270.Search in Google Scholar

[5] Wang, Yanbo, Li, et al. (2015). Treatment of petrochemical wastewater via supercritical water oxidation with nano-Fe2O3. Oxidation Communications, 38(3), 1373-1377.Search in Google Scholar

[6] Liu, Chunshuang, Li, et al. (2019). Simultaneous Removal of Sulfide, Nitrate and Ammonium Ions from Wastewater in One Reactor. China Petroleum Processing & Petrochemical Technology, 21(04), 71-75.Search in Google Scholar

[7] Adir, George, Mihail, et al. (2017). The Impact of the Industrial Processing of Oil on the Rainfall Water Quality. Revista De Chimie, 68, 175.Search in Google Scholar

[8] Li, Xiaohui, Ma, et al. (2017). Adsorption of Naphthenic Acids from Dewaxed Vacuum Gas Oil by Activated Clay: Kinetics, Equilibrium and Thermodynamic Studies. China Petroleum Processing & Petrochemical Technology, 01(v.19), 126-137.Search in Google Scholar

[9] Marine ecoregion and Deepwater Horizon oil spill affect recruitment and population structure of a salt marsh snail. (2016). Ecosphere, 7(12), e01588.Search in Google Scholar

[10] Passow, U., Kai, Z. (2016). Marine Snow Sedimented Oil Released During the Deepwater Horizon Spill. Oceanography, 29(3), 118-125.Search in Google Scholar

[11] He, Zhen, Chen, et al. (2016). Oxygen reduction reaction catalysts used in microbial fuel cells for energy-efficient wastewater treatment: a review. Materials Horizons, 3(5), 382-401.Search in Google Scholar

[12] He, Junguo, Yu, et al. (2016). Role of N-acyl-homoserine lactone (AHL) based quorum sensing on biofilm formation on packing media in wastewater treatment process. Rsc Advances, 6(14), 11128-11139.Search in Google Scholar

[13] Qi, Z., You, S., Liu, R., et al. (2020). Performance and mechanistic study on electrocoagulation process for municipal wastewater treatment based on horizontal bipolar electrodes. Frontiers of Environmental Science & Engineering, 14(3).Search in Google Scholar

[14] Jia, X., Jin, D., Li, C., et al. (2019). Characterization and analysis of petrochemical wastewater through particle size distribution, biodegradability, and chemical composition. Chinese Journal of Chemical Engineering, 27(2), 444-451.Search in Google Scholar

[15] Chen, Zayed, Qasem. (2015). An Efficiency-Centred Hierarchical Method to Assess Performance of Wastewater Treatment Plants. INT J ENVIRON RES, 9(1), 1-8.Search in Google Scholar

[16] Shahawy, A. E., Mubarak, M. F., Shafie, M. E., et al. (2022). Fe(III) and Cr(VI) ions’ removal using AgNPs/GO/chitosan nanocomposite as an adsorbent for wastewater treatment. RSC Advances, 12(27), 17065-17084.Search in Google Scholar

[17] Amin, M. M., Bina, B., Ebrahimi, A., et al. (2018). The occurrence, fate, and distribution of natural and synthetic hormones in different types of wastewater treatment plants in Iran. Chinese Journal of Chemical Engineering, 26(5), 1132-1139.Search in Google Scholar

[18] Theerman, J., Margevicius, A., Hurt, W. (2015). The Design and Installation of a Distributed Controls System at the Bissell Point Wastewater Treatment Plant: A Case Study. Hortscience, 4(12), 1223-1227.Search in Google Scholar

[19] Mucha, Kulakowski. (2016). Turbidity measurements as a tool of monitoring and control of the SBR effluent at the small wastewater treatment plant - preliminary study. ARCH ENVIRON PROT, 42(3).Search in Google Scholar

[20] Meskhi, Alexander, Kokilashvili, et al. (2015). ON WEIGHTED BERNSTEIN TYPE INEQUALITY IN GRAND VARIABLE EXPONENT LEBESGUE SPACES. Mathematical Inequalities & Applications, 18(3), 991-1002.Search in Google Scholar

[21] Hossein, Etemadfard, Masoud, et al. (2016). Spherical Slepian as a new method for ionospheric modeling in the arctic region. Journal of Atmospheric and Solar-Terrestrial Physics, 140, 10-15.Search in Google Scholar

[22] Nebot, Victoria, Berlanga, et al. (2016). Statistically-driven generation of multidimensional analytical schemas from linked data. Knowledge-Based Systems, 110, 15-29.Search in Google Scholar

[23] Liu, Y., Dai, S., Wang, C., et al. (2017). GenealogyVis: A System for Visual Analysis of Multidimensional Genealogical Data. IEEE Transactions on Human-Machine Systems, 47(6), 873-885.Search in Google Scholar

[24] Peters, S., O., et al. (2016). Comparison of linear model and artificial neural network using antler beam diameter and beam length of white-tailed deer (Odocoileus virginianus). Journal of Animal Science, 94(suppl_5), 823-824.Search in Google Scholar

[25] Bin, L. I., Wang, Y. J., Yang, D. S., et al. (2019). FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data stream. Frontiers of Information Technology & Electronic Engineering, 20(3), 388-404.Search in Google Scholar

[26] Cai, Jing, Wang, et al. (2016). Multi-dimensional histogram-based information capacity analysis of the urban heat island effect using Landsat 8 data. Remote Sensing Letters, 7(10), 925-934.Search in Google Scholar

[27] Huang, Shudong, Zenglin, et al. (2018). Adaptive local structure learning for document co-clustering. Knowledge-Based Systems, 148, 74-84.Search in Google Scholar

[28] Sargeant, G. A., Wild, M. A., Schroeder, G. M., et al. (2021). Spatial network clustering reveals elk population structure and local variation in prevalence of chronic wasting disease. Ecosphere, 12(12).Search in Google Scholar

[29] Jacob, Azoulay. (2016). Memory features of water cyclically treated with a magnetic field. Military Operations Research, 13(2), 120-123.Search in Google Scholar

[30] Yang, S., Zhang, L., Xu, C., et al. (2021). Massive data clustering by multi-scale psychological observations. National Science Review, 9(2), nwab183.Search in Google Scholar

[31] Wang, H. Y., Wang, J. S., & Zhu, L. F. (2021). A new validity function of FCM clustering algorithm based on intra-class compactness and inter-class separation. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 40(6).Search in Google Scholar