Document Type : Research Paper

Authors

1 Assoc. Professor, Department of Water Engineering, Faculty of Agriculture, Fasa University, Fasa, Iran

2 M.Sc. Student, Department of Water Engineering, Faculty of Agriculture, Fasa University, Fasa, Iran

Abstract

This study modeled the adsorption process of 2,4-D pollutant from the aqueous medium by rice husk biochar adsorbent using CART and CHAID decision tree algorithms. The effect of contact time (0-120 min), temperature (20-60 oC), initial concentration of contaminant (60-600 mg/L), adsorbent dose (0.05-0.2 g), and pH (2-9) was examined on the adsorption capacity. The results indicated that the adsorption capacity reached the maximum at pH=5.50 and the temperature lower than 30 oC. The outputs of both models showed that the initial concentration of the contaminant and the adsorbent dose had the most significant effect on the adsorption capacity, increasing with the initial concentration increment and the adsorbent dose decrement. At the initial concentration of less than 350 mg/L and the adsorbent dose of less than 0.08 g, the maximum adsorption capacity was 37.1 mg/g. The CART model, with an R2 of 98.1%, showed higher performance than the CHAID model, with a 97.7% value, in estimating the adsorption capacity of rice husk biochar. Rice husk biochar (BRH) can be used as a suitable adsorbent to remove 2,4-D herbicide from water due to its low initial cost, high physical and chemical capability, and high ability to remove the studied contaminant.

Keywords

Main Subjects

Abigail, M. and Chidambaram, R. (2016). Rice husk as a low cost nanosorbent for 2,4-dichlorophenoxyaceticacid removal from aqueous solutions. Ecol. Eng., 92, 97-105. DOI: 10.1016/J.ECOLENG.2016.03.020
Ahmad, A. L., Tan, L.  S. and Shukor, S. R. A. (2008). Dimethoate and atrazine retention from aqueous solution by nanofiltration membranes. J. Hazard. Mater., 151, 71–77. DOI: 10.1016/J.JHAZMAT.2007.05.047
Amiri, M. J., Bahrami, M., and Rajabi, S. (2022). Assessment of M5 model tree for prediction of azithromycin antibiotic removal by multi-wall carbon nanotubes in a fixed-bed column system. AQUA — Water Infrastruct. Ecosyst. Soc., 71(4), 533 DOI: 10.2166/aqua.2022.157
Amiri, M. J., Bahrami, M., Beigzadeh, B. and Gil, A. (2018). A response surface methodology for optimization of 2,4-dichlorophenoxyacetic acid removal from synthetic and drainage water: a comparative study. Environ. Sci. Pollut. Res., 25, 34277-34293. DOI:10.1007/s11356-018-3327-x.
Amiri, M. J., Roohi, R., Arshadi, M. and Abbaspourrad, A. (2020). 2,4-D adsorption from agricultural subsurface drainage by canola stalk-derived activated carbon: insight into the adsorption kinetics under batch and column conditions. Environ. Sci. Pollut. Res., 27, 16983–16997. DOI:10.1007/s11356-020-08211-7.
Ansari, A., Ghaedi, M., Ghaedi, A.M., Bahari, F., Azarian, G. and Godini, K. (2017). Random forest modeling for the kinetic and isotherm study of malachite green adsorption from aqueous environments using zinc sulfide nanoparticle loaded with activated carbon. Desalin. Water Treat., 89, 258–273. DOI:10.5004/dwt.2017.21393.
Azari, A., Salari, M., Dehghani, M. H., Ali-Mohammadi, M., Ghafari, H. R., Sharafi, K., Shariati-far, N. and Baziar, M. (2017). Efficiency of magnitized graphene oxide nanoparticles in Removal of 2,4-dichlorophenol from aqueous solution. J Mazandaran Univ. Med. Sci., 26(144), 265-281 [In Persian].
Bahrami, M., Amiri, M. J. and Koochaki, S. (2017). Investigation of isotherms and kinetics of caffeine adsorption from aqueous solutions using multi-walled carbon nanotubes. The Second National Congress of Irrigation and Drainage of Iran. [In Persian].
Bahrami, M. and Amiri, M. J. (2022). Nitrate removal from contaminated waters using modified rice husk ash by Hexadecyltrimethylammonium bromide surfactant. Reac. Kinet. Mech. Cat., 135, 459–478. DOI:10.1007/s11144-021-02149-8.
Beigzadeh, B., Bahrami, M., Amiri, M. J. and Mahmoudi, M. R. (2020). A new approach in adsorption modeling using random forest regression, Bayesian multiple linear regression, and multiple linear regression: 2,4-D adsorption by a green adsorbent. Water Sci. Technol., 82(8), 1586-1602. DOI:10.2166/wst.2020.440.
Chandra-Ghosh, G., Zaman, S. and Kumar-Chakraborty, T. (2018). Adsorptive removal of Cr (VI) from aqueous solution using rice husk and rice husk ash. Department of Environmental Science and Technology, Jessore University of Science and Technology, Jessore. 7408. 10.5004/dwt.2018.22828. DOI:10.5004/dwt.2018.22828.
Gheisarian-Fard, G., Alizadeh-Dakhel, A. and Nazemi, A. (2011). Investigation of lead and mercury uptake in industrial effluents using rice husk ash. Fourth Conference and Specialized Exhibition of Environmental Engineering. [In Persian].
Gokhan, A. and Keceoglu, C. R. (2019). Comparison of results obtained from logistic regression, CHAID analysis and decision tree methods. Eurasian J. Edu. Res., 19(84), 115-134. DOI:10.14689/ejer.2019.84.6.
Hajighasemkhan, A., Taghavi, L., Moniri, E., Hassani, A. H. and Ahmad-Panahi, H. (2020). Removal of 2,4-dichlorophenoxyacetic acid and 4-chloro-2-methyl phenoxyacetic acid herbicides from aquatic environments by a novel polymer magnetic nanoparticle. Iran. J. Health Environ., 13(1), 149-66 [In Persian].
Hasanipanah, M., Shirani-Faradonbeh, R., Bakhshandeh-Amnieh, H., Jahed-Armaghani, D. and Monjezi, M. (2017). Forecasting blast-induced ground vibration developing a CART model. Eng. Comput., 33, 307–316. DOI:10.1007/s00366-016-0475-9.
Hasanpoor, D., Valian, H., Safari-Graili, M. and Tahmasebi-Zadeh, R. (2021). Using Ruff Theory (ERST) and Interpretive-Structural Analysis (ISM) and Decision Tree (CART) models to help auditors identify fraud in the financial statements of companies listed on the Iran Stock Exchange. Ninth Year Investment Know. Res. Quart., 9, 179-208. [In Persian]
Humbert, H., Gallard, H., Suty, H. and Croue, J. P. (2008). Natural organic matter (NOM) and pesticides removal using a combination of ion exchange resin and powdered activated carbon (PAC). Water Res., 42(6-7), 1635-1643. DOI: 10.1016/j.watres.2007.10.012
Jamali-Armandi, H., Shahmohammadi, Z. (2010). Influence of concentration on yield and equilibrium time of lead uptake from aqueous medium of paddy sorbent. Twelfth course in environmental science and technology, Iran [In Persian].
Kizito, S., Wu, S., Kirui, W. K., Lei, M., Lu, Q., Bah, H. and Dong, R. (2015). Evaluation of slow pyrolyzed wood and rice husks biochar for adsorption of ammonium nitrogen from piggery manure anaerobic digested slurry. Sci. Total Environ., 505, 102–112. DOI:10.1016/j.scitotenv.2014.09.096.
Mirhashemi, H., Haghighat-Joo, P., Mirzai, F. and Panahi, M. (2019). Use of CART algorithm in predicting groundwater level fluctuations inside and outside the irrigation network (Case study: Irrigated area of Qazvin city). Iran. J. Soil Water Res., 49(2), 385-395. DOI:10.22059/ijswr.2017.232795.667677. [In Persian].
Mohammad-Poor, M., Baba-Zadeh, H., Afroos, A. and Pazira, A. (2017). Analysis of the weight of cadmium heavy metals from industrial effluents using rice paddy. National Conference on Water and Hydraulic Structures of Islamic Azad University, Dezful Branch, Iran [In Persian].
Panahi, M. and Mir-Hashemi, H. (2016). Evaluation of two data mining algorithms CHAID and CART in predicting the air temperature of Arak synoptic station. J. Environ. Sci., 13(4), 53-58 [In Persian].
Rouniasi, N., Monavari, S. M., Abdoli, M. A., Baghdadi, M. and Karbasi, A. (2018). Removal of heavy metals of cadmium and lead from aqueous solutions using graphene oxide nanosheets process optimization by response surface methodology. Iran. J. Health Environ., 11(2), 197-214 [In Persian].
Santacruz, G., Bandala, E. R. and Torres, L. G. (2005). Chlorinated pesticides (2,4-D and DDT) biodegradation at high concentrations using immobilized Pseudomonas fluorescens. J. Environ. Sci. Health B., 40(4), 571-83. DOI: 10.1081/PFC-200061545
Saritha, P., Aparna, C., Himabindu, V. and Anjaneyulu, Y. (2007). Comparison of various advanced oxidation processes for the degradation of 4-chloro-2 nitrophenol. J. Hazard. Mater, 149, 609–614. DOI: 10.1016/j.jhazmat.2007.06.111
Singh, S. and Gupta, P. (2014). Comparative study ID3, cart and C4.5 decision tree algorithm: a survey. Int. J. Adv. Sci., 27(27), 97-103.
Sobhanardakani, S., Parvizimosaed, H. and Olyaie, E. (2013). Heavy metals removal from wastewaters using organic solid waste rice husk. Environ. Sci. Pollut. Res., 20, 5265-5271. DOI:10.1007/s11365-013-1516-1.
Sobhanardakani, S. and Zandipak, R. (2015). Adsorption of Ni(II) and Cd(II) from Aqueous Solutions Using Modified Rice Husk. Iran. J. Health Sci., 3(1), 1-9. DOI:10.7508/ijhs.2015.01.001.
Soleimanpour, S. M., Mesbah, S. H. and Hedayati, B. (2018). Application of CART decision tree data mining to determine the most effective drinking water quality factors (case study: Kazeroon plain, Fars province). Iranian J. Health Environ., 11(1), 1-14 [In Persian].