Monitoring of pesticides in surface water, pesticides removal efficiency in drinking water treatment plant and potential health risk to consumers using Monte Carlo simulation in Behbahan City, Iran

被引:44
|
作者
Kalantary, Roshanak Rezaei [1 ,2 ]
Barzegar, Gelavizh [1 ]
Jorfi, Sahand [3 ,4 ]
机构
[1] Iran Univ Med Sci, Sch Publ Hlth, Dept Environm Hlth Engn, Tehran, Iran
[2] Iran Univ Med Sci, Res Ctr Environm Hlth Technol, Tehran, Iran
[3] Ahvaz Jundishapur Univ Med Sci, Environm Technol Res Ctr, Ahvaz, Iran
[4] Ahvaz Jundishapur Univ Med Sci, Sch Hlth, Dept Environm Hlth Engn, Ahvaz, Iran
关键词
Surface water; Pesticides; Risk assessment; Monte Carlo simulation; Marun River; Iran; GRANULAR-ACTIVATED CARBON; ORGANOCHLORINE PESTICIDES; PILOT-SCALE; RESIDUES; ADSORPTION; CONTAMINANTS; MALATHION; NORTHWEST; EXPOSURE; MODEL;
D O I
10.1016/j.chemosphere.2021.131667
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Excessive application of pesticides to control pests and weeds leads to contaminating bodies of water and health problems for consumers. The present study was designed to investigate the concentration of pesticides in raw water originated from the Marun River as well as the treated water of the drinking water treatment plant in Behbahan City. The efficiency of each treatment process was evaluated. Moreover, the health risks caused by detectable pesticides for consumers of treated water were assessed. The target pollutants were extracted using droplet liquid-liquid microextraction and detected by a gas chromatograph-mass spectrophotometer. The results showed relatively high mean concentrations of organophosphate pesticides ranging from 0.87 to 3.229 mu g/L in the river water and low concentrations of organochlorine pesticides, except for 1,3-dichloropropene with the concentration of 3.58 mu g/L. Alachlor had a rather high concentration (2.44 mu g/L) in the river water. The concentration of pesticides in the drinking water had been reduced to an acceptable amount. The major part of pesticides removal occurred in coagulation-flocculation and rapid sand filtration units (87 %) due to the hydrophobic nature of pesticides and the use of GAC in the filtration unit. Based on the risk assessment estimates, the total hazard quotient (THQ) for all the pesticides was much less than one. The value of THQ was higher in younger individuals and children for all the given pesticides. The highest value of THQ in children was 0.2 which was attributed to aldrin. Similarly, the carcinogenic risk (CR) of aldrin for children and teenagers was in the unsafe range (more than 10-4) while the CR for other target compounds in all the age groups was negligible 10-4-10-6 or less). The high concentration of pesticides in the river water might be concerning and therefore selling and using pesticides, especially the banned ones, should be more regulated.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Seasonal variations of potentially toxic elements (PTEs) in drinking water and health risk assessment via Monte Carlo simulation and Sobol sensitivity analysis in southern Iran's largest city
    Mohammadpour, Amin
    Rajabi, Saeed
    Bell, Michelle
    Baghapour, Mohammad Ali
    Aliyeva, Aynura
    Khaneghah, Amin Mousavi
    APPLIED WATER SCIENCE, 2023, 13 (12)
  • [22] Seasonal variations of potentially toxic elements (PTEs) in drinking water and health risk assessment via Monte Carlo simulation and Sobol sensitivity analysis in southern Iran's largest city
    Amin Mohammadpour
    Saeed Rajabi
    Michelle Bell
    Mohammad Ali Baghapour
    Aynura Aliyeva
    Amin Mousavi Khaneghah
    Applied Water Science, 2023, 13
  • [23] Spatial analysis and probabilistic risk assessment of exposure to fluoride in drinking water using GIS and Monte Carlo simulation
    Ali, Shahjad
    Ali, Hamid
    Pakdel, Manizhe
    Askari, Sahar Ghale
    Mohammadi, Ali Akbar
    Rezania, Shahabaldin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (04) : 5881 - 5890
  • [24] Spatial analysis and probabilistic risk assessment of exposure to fluoride in drinking water using GIS and Monte Carlo simulation
    Shahjad Ali
    Hamid Ali
    Manizhe Pakdel
    Sahar Ghale Askari
    Ali Akbar Mohammadi
    Shahabaldin Rezania
    Environmental Science and Pollution Research, 2022, 29 : 5881 - 5890
  • [25] Pesticides residues determination and probabilistic health risk assessment in the soil and cantaloupe by Monte Carlo simulation: A case study in Kashan and Aran-Bidgol, Iran
    Arani, Mohsen Hesami
    Kermani, Majid
    Kalantary, Roshanak Rezaei
    Jaafarzadeh, Neamatollah
    Arani, Samaneh Bagheri
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2023, 263
  • [26] Risk assessment of pesticides in agriculture farms Jiroft city and effect of drinking water resources using Arc-GIS software
    Fanaei, Farzad
    Tahergorabi, Mahsa
    Malakootian, Mohammad
    Kermani, Majid
    Faryabi, Reza
    Ghambarian, Mahnaz
    Esfandyari, Akbar
    Arfaeinia, Hossein
    Dehghan, Samaneh
    Eslami, Fatemeh
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2023, 103 (20) : 9547 - 9561
  • [27] Radon 222 in drinking water resources of Iran: A systematic review, meta-analysis and probabilistic risk assessment (Monte Carlo simulation)
    Keramati, Hassan
    Ghorbani, Raheb
    Fakhri, Yadolah
    Khaneghah, Amin Mousavi
    Conti, Gea Oliveri
    Ferrante, Margherita
    Ghaderpoori, Mansour
    Taghavi, Mahmoud
    Baninameh, Zahra
    Bay, Abotaleb
    Golaki, Mohammad
    Moradi, Bigard
    FOOD AND CHEMICAL TOXICOLOGY, 2018, 115 : 460 - 469
  • [28] Evaluation of the physical and chemical characteristics of water on the removal efficiency of rotavirus in drinking water treatment plants and change in induced health risk
    Shamsollahi, Hamid Reza
    Ghoochani, Mahboobeh
    Sadeghic, Kaveh
    Jaafari, Jalil
    Masinaei, Masoud
    Sillanpaa, Mika
    Yousefi, Mahmood
    Mirtalb, Seyedeh Tahereh
    Alimohammadi, Mahmood
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2019, 130 : 6 - 13