Comprehensive insights into the occurrence, distribution, risk assessment of typical pesticides and their environmental driving effects in a large drinking water reservoir

被引:11
|
作者
Chai, Di [1 ]
Cui, Kangping [1 ]
Yu, Kaifeng [2 ]
Chen, Xing [1 ]
Guo, Zhi [1 ]
Chen, Yihan [1 ,2 ]
机构
[1] Hefei Univ Technol, Sch Resources & Environm Engn, 193 Tunxi Rd, Hefei 230009, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Environm Sci & Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
来源
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING | 2023年 / 11卷 / 05期
基金
中国国家自然科学基金;
关键词
Large drinking water reservoir; Organic pesticide; Seasonal variation; Distribution; Ecological risk; SURFACE-WATER; ORGANOCHLORINE PESTICIDES; PYRETHROID INSECTICIDES; SPATIAL-DISTRIBUTION; ORGANIC POLLUTANTS; RIVER; SEDIMENT; ESTUARY; LAKE; COEFFICIENTS;
D O I
10.1016/j.jece.2023.110513
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The problem of pesticide pollution in large drinking water reservoirs is becoming increasingly prominent due to agricultural production. To systematically evaluate the distribution characteristics, seasonal fluctuations, environmental behaviors, and ecological risks of pesticides in the Fengshuba Reservoir (China), we conducted a comprehensive investigation of the seasonal changes in the concentrations of 31 pesticides, including 8 organochlorine pesticides (OCPs), 16 organophosphates pesticides (OPPs), and 7 synthetic pyrethroids (SPs). The results showed the concentrations of OCPs, OPPs, and SPs in the water phase were 121.98-321.64 ng/L, 279.28-371.75 ng/L, and 118.96-186.65 ng/L, respectively. The concentrations in the porewater phase were 3363.34-7105.00 ng/L, 8648.98-14,265.95 ng/L, and 2740.83-7738.28 ng/L, respectively. The concentrations in the sediment phase were 47.92-88.28 & mu;g/kg, 159.87-446.64 & mu;g/kg, and 29.43-99.62 & mu;g/kg, respectively. The concentrations in the soil phase were 23.62-50.76 & mu;g/kg, 96.85-184.19 & mu;g/kg, and 21.02-37.02 & mu;g/kg, respectively. Seasonal hydrology, hydraulic retention time, precipitation, temperature, and biological metabolism all impacted the concentration and composition of pesticides, but no apparent environmental gradient effect was found within the reservoir. Redundancy analysis indicated that NO3- , Dissolved oxygen (DO), Dissolved organic carbon (DOC), Organic nitrogen (ON), and Inorganic carbon (IC) were the main environmental parameters affecting pesticide concentrations. The pseudo-partitioning values in water and porewater ranged from 1.2 to 3.3 x 104 and 22.0-61.7 L/kg, respectively. The ecological risk was low for OCPs, moderate for OPPs, and high for SPs in the water phase. SPs should be considered a priority indicator for risk assessment. Future conservation efforts for reservoir system should focus on pollution prevention in the soil phase.
引用
收藏
页数:12
相关论文
共 45 条
  • [1] Comprehensive insights into the occurrence, distribution, risk assessment and indicator screening of antibiotics in a large drinking reservoir system
    Chen, Yihan
    Cui, Kangping
    Huang, Qianli
    Guo, Zhi
    Huang, Yuansheng
    Yu, Kaifeng
    He, Yiliang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 716
  • [2] Comprehensive insights into the occurrence, source, distribution and risk assessment of polycyclic aromatic hydrocarbons in a large drinking reservoir system
    Xu, Xiangyang
    Cui, Kangping
    Chen, Yihan
    Chen, Xing
    Guo, Zhi
    Chen, Hongjie
    Deng, Guangwei
    He, Yiliang
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (05) : 6449 - 6462
  • [3] Occurrence, distribution and risk assessment of pesticides in a river-reservoir system
    Chen, Yihan
    Yu, Kaifeng
    Hassan, Muhammad
    Xu, Cong
    Zhang, Bo
    Gin, Karina Yew-Hoong
    He, Yiliang
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2018, 166 : 320 - 327
  • [4] Occurrence, distribution, and risk assessment of pesticides in surface water and sediment in Jiangsu Province, China
    Gu, Wen
    Xing, Weilong
    Liang, Mengyuan
    Wang, Zhen
    Zhang, Bing
    Sun, Shuai
    Fan, Deling
    Wang, Lei
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (56) : 118418 - 118429
  • [5] Occurrence and risk assessment of current-use pesticides in a tropical drinking water source reservoir in Hainan Province, China
    Xiang, Jun
    Fu, Cheng-Zhong
    Xu, Rong-Qin
    Lu, Qi-Yuan
    Tang, Bin
    Xing, Qiao
    Wang, Li-Cheng
    Hao, Qin-Wei
    Mo, Ling
    Zheng, Jing
    ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS, 2025, : 1063 - 1073
  • [6] Environmental estrogens in a drinking water reservoir area in Shanghai: Occurrence, colloidal contribution and risk assessment
    Nie, Minghua
    Yang, Yi
    Liu, Min
    Yan, Caixia
    Shi, Hao
    Dong, Wenbo
    Zhou, John L.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 487 : 785 - 791
  • [7] Distribution, Source Identification, and Risk Assessment of Polycyclic Aromatic Hydrocarbons in a Large Drinking Water River-Reservoir System
    Chen, Yihan
    Zhang, Xiangyu
    Zhang, Hongzhi
    Cui, Kangping
    Li, Feiyue
    Hassan, Muhammad
    Guo, Zhi
    WATER AIR AND SOIL POLLUTION, 2024, 235 (03)
  • [8] Occurrence, distribution, and risk assessment of pesticides in surface water and sediment in Jiangsu Province, China
    Wen Gu
    Weilong Xing
    Mengyuan Liang
    Zhen Wang
    Bing Zhang
    Shuai Sun
    Deling Fan
    Lei Wang
    Environmental Science and Pollution Research, 2023, 30 : 118418 - 118429
  • [9] Occurrence, spatiotemporal distribution, and risk assessment of current-use pesticides in surface water: A case study near Taihu Lake, China
    Wang, Tielong
    Zhong, Mengmeng
    Lu, Meiling
    Xu, Dongjiong
    Xue, Yingang
    Huang, Jun
    Blaney, Lee
    Yu, Gang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 782
  • [10] Differential insights into the distribution characteristics of bacterial communities and their response to typical pollutants in the sediment and soil of large drinking water reservoir
    Yang, Yongjie
    Cui, Kangping
    Huang, Yuansheng
    Yu, Kaifeng
    Li, Chenxuan
    Chen, Yihan
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 373