Characterization of the fate and distribution of ethiprole in water-fish-sediment microcosm using a fugacity model

Science of the Total Environment

Volumn 576, Issue , 2017, Pages 696-704

  Hu, Mingfeng ^a   Liu, Xingang ^a   Wu, Xiaohu ^a   Dong, Fengshou ^a   Xu, Jun ^a   Chen, Wuying ^a   Zheng, Yongquan ^a  

^a INSTITUTE OF PLANT PROTECTION   (China)

Author keywords

Ethiprole; Fate; Fugacity model; Microcosm

Indexed keywords

BIODEGRADATION; FISH; IMPURITIES; PHOTOLYSIS; SENSITIVITY ANALYSIS;

CONTAMINANT CONCENTRATIONS; ETHIPROLE; FATE; FUGACITY MODEL; HENRY'S LAW CONSTANT (H); MICROCOSM; OCTANOL-WATER PARTITION COEFFICIENT; STEADY-STATE CONDITION;

PHOTODEGRADATION;

ETHIPROLE; INSECTICIDE; UNCLASSIFIED DRUG; FRESH WATER; PESTICIDE; PYRAZOLE DERIVATIVE;

BIODEGRADATION; ENVIRONMENTAL FATE; FISH; FUGACITY; INSECTICIDE; MICROCOSM; PHOTOLYSIS; SEDIMENT; WATER CHEMISTRY;

ARTICLE; BIOREMEDIATION; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; ENVIRONMENTAL IMPACT; FISH; LIMIT OF DETECTION; LIMIT OF QUANTITATION; MICROCOSM; NONHUMAN; PHOTOLYSIS; PRIORITY JOURNAL; SEDIMENT; WASTE COMPONENT REMOVAL; WATER ANALYSIS; WATER POLLUTANT; WATER POLLUTION; WATER QUALITY; ANALYSIS; ANIMAL; CHEMICAL MODEL; CHEMISTRY; CHINA; MICROBIOLOGY;

BEIJING [CHINA]; CHINA; HUNAN;

ANIMALS; BEIJING; FISHES; FRESH WATER; GEOLOGIC SEDIMENTS; MODELS, CHEMICAL; PESTICIDES; PYRAZOLES; WATER MICROBIOLOGY; WATER POLLUTANTS, CHEMICAL;

EID: 84993978508     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2016.10.087     Document Type: Article

References (30)

1. Bhattacharyya, M., Klein, J.P., A random effects model for multistate survival analysis with application to bone marrow transplants. Math. Biosci. 194 (2005), 37–48.
2. Bingli, L., Huang, S., Min, Q., Tianyun, L., Zijian, W., Prediction of the environmental fate and aquatic ecological impact of nitrobenzene in the Songhua River using the modified AQUATOX model. Res. J. Environ. Sci. 20 (2008), 769–777.
3. Breivik, K., Wania, F., Evaluating a model of the historical behavior of two hexachlorocyclohexanes in the Baltic Sea environment[J]. Environ. Sci. Technol. 365 (2002), 1014–1023.
4. Cao, H., Tao, S., Xu, F., Coveney, R.M., Cao, J., Li, B., et al. Multimedia fate model for hexachlorocyclohexane in Tianjin, China. Environ. Sci. Technol. 38 (2004), 2126–2132.
5. Chi, J., Yang, Q., Effects of Potamogeton crispus L. on the fate of phthalic acid esters in an aquatic microcosm. Water Res. 46 (2012), 2570–2578.
6. Colombo, V., Mohr, S., Berghahn, R., Pettigrove, V.J., Structural changes in a macrozoobenthos assemblage after imidacloprid pulses in aquatic field-based microcosms. Arch. Environ. Contam. Toxicol. 65 (2013), 683–692.
7. Ethier, A., Mackay, D., Toose-Reid, L., O'Driscoll, N., Scheuhammer, A., Lean, D., The development and application of a mass balance model for mercury (total, elemental and methyl) using data from a remote lake (Big Dam West, Nova Scotia, Canada) and the multi-species multiplier method. Appl. Geochem. 23 (2008), 467–481.
8. Hanson, M., Sibley, P., Brain, R., Mabury, S., Solomon, K., Microcosm evaluation of the toxicity and risk to aquatic macrophytes from perfluorooctane sulfonic acid. Arch. Environ. Contam. Toxicol. 48 (2005), 329–337.
9. Hanson, M., Small, J., Sibley, P., Boudreau, T., Brain, R., Mabury, S., et al. Microcosm evaluation of the fate, toxicity, and risk to aquatic macrophytes from perfluorooctanoic acid (PFOA). Arch. Environ. Contam. Toxicol. 49 (2005), 307–316.
10. Huang, G., Hou, S., Wang, L., Sun, H., Distribution and fate of nonylphenol in an aquatic microcosm. Water Res. 41 (2007), 4630–4638.
11. Kim, J., Powell, D., Hughes, L., Mackay, D., Uncertainty analysis using a fugacity-based multimedia mass-balance model: application of the updated EQC model to decamethylcyclopentasiloxane (D5). Chemosphere 93 (2013), 819–829.
12. Krause, P., Boyle, D., Bäse, F., Comparison of different efficiency criteria for hydrological model assessment. Adv. Geosci. 5 (2005), 89–97.
13. Laabs, V., Wehrhan, A., Pinto, A., Dores, E., Amelung, W., Pesticide fate in tropical wetlands of Brazil: an aquatic microcosm study under semi-field conditions. Chemosphere 67 (2007), 975–989.
14. Li, Q., Zhu, T., Qiu, X., Hu, J., Vighi, M., Evaluating the fate of p, p′-DDT in Tianjin, China using a non-steady-state multimedia fugacity model. Ecotoxicol. Environ. Saf. 63 (2006), 196–203.
15. Li, S., Liu, X., Chen, C., Dong, F., Xu, J., Zheng, Y., Degradation of fluxapyroxad in soils and water/sediment systems under aerobic or anaerobic conditions. Bull. Environ. Contam. Toxicol. 95 (2015), 45–50.
16. Liu, X., Dong, F., Jun, X., Yuan, S., Zheng, Y., Dissipation and adsorption behavior of the insecticide ethiprole on various cultivated soils in China. J. Integr. Agric. 13 (2014), 2471–2478.
17. Luo, Y., Zhang, X., Liu, X., Ficklin, D., Zhang, M., Dynamic modeling of organophosphate pesticide load in surface water in the northern San Joaquin Valley watershed of California. Environ. Pollut. 156 (2008), 1171–1181.
18. Mackay, D., Paterson, S., Evaluating the multimedia fate of organic chemicals: a level III fugacity model. Environ. Sci. Technol. 25 (1991), 427–436.
19. Min, F., Yang, M., Wang, Z., Knowledge-based method for the validation of complex simulation models. Simul. Model. Pract. Theory 18 (2010), 500–515.
20. Moriasi, D., Arnold, J., Van Liew, M., Bingner, R., Harmel, R., Veith, T., Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE 50 (2007), 885–900.
21. Nanjing Institute of Soil Science of Chinese Academy of Sciences, The Physical and Chemical Characters of Soil. 1978, Shanghai Science Publishing Company, 448–508.
22. Pimentel, D., Amounts of pesticides reaching target pests: environmental impacts and ethics. J. Agric. Environ. Ethics 8 (1995), 17–29.
23. Pimentel, D., Greiner, A., Bashore, D., Economic and environmental costs of pesticide use[J]. Environ. Toxicol., 7, 2003, 121.
24. Punyawattoe, P., Han, Z., Sriratanasak, W., Arunmit, S., Chaiwong, J., Bullangpoti, V., Ethiprole resistance in Nilaparvata lugens (Hemiptera: Delphacidae): possible mechanisms and cross-resistance. Appl. Entomol. Zool. 48 (2013), 205–211.
25. Ucar, T., Hall, F., Windbreaks as a pesticide drift mitigation strategy: a review[J]. Pest Manag. Sci. 57 (2001), 663–675.
26. Van den Brink, P., Crum, S., Gylstra, R., Bransen, F., Cuppen, J., Brock, T., Effects of a herbicide–insecticide mixture in freshwater microcosms: risk assessment and ecological effect chain. Environ. Pollut. 157 (2009), 237–249.
27. Wang, C., Feng, Y., Zhao, S., Li, B., A dynamic contaminant fate model of organic compound: a case study of nitrobenzene pollution in Songhua River, China. Chemosphere 88 (2012), 69–76.
28. Zhang, Q., Shi, H., Gao, B., Tian, M., Hua, X., Wang, M., Enantioseparation and determination of the chiral phenylpyrazole insecticide ethiprole in agricultural and environmental samples and its enantioselective degradation in soil. Sci. Total Environ. 542 (2016), 845–853.
29. Zhao, X., Wu, C., Wang, Y., Cang, T., Chen, L., Yu, R., et al. Assessment of toxicity risk of insecticides used in rice ecosystem on Trichogramma japonicum, an egg parasitoid of rice lepidopterans. J. Econ. Entomol. 105 (2012), 92–101.
30. Zishuai, S., Huiming, W., Xin-sheng, M.A., Fei-fei, L., Guo-nian, Z., Residue decline study of ethiprole in paddy field soil and water. Chin. J. Pestic. Sci. 13:6 (2011), 632–636.