2015
DOI: 10.1016/j.envpol.2015.01.028
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Temporal-spatial distributions and ecological risks of perfluoroalkyl acids (PFAAs) in the surface water from the fifth-largest freshwater lake in China (Lake Chaohu)

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Cited by 54 publications
(20 citation statements)
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“…The SSD method was employed to discuss the ecological risks of PFOS and PFOA in different seasons and at different sampling points in Lake Chaohu and the influence of different distribution models on a SSD curve was compared (Liu et al 2015c). In addition, SSD model was applied to predict the noobserved effect concentrations of PFOS and PFOA at levels of 35.16 µg/L and 2546 µg/L, respectively (Qi et al 2011;Gredelj et al 2018).…”
Section: Ecological Risk Of Pfaasmentioning
confidence: 99%
“…The SSD method was employed to discuss the ecological risks of PFOS and PFOA in different seasons and at different sampling points in Lake Chaohu and the influence of different distribution models on a SSD curve was compared (Liu et al 2015c). In addition, SSD model was applied to predict the noobserved effect concentrations of PFOS and PFOA at levels of 35.16 µg/L and 2546 µg/L, respectively (Qi et al 2011;Gredelj et al 2018).…”
Section: Ecological Risk Of Pfaasmentioning
confidence: 99%
“…To investigate the PFOA and PFOS inputs to the lake, data on the major rivers flowing into the lake were obtained in both March and September 2013 (unpublished data). The methods for sample collection and measurement are available elsewhere (Liu et al 2015b). We also collected data from the literature as a supplement to this study.…”
Section: Data Collectionmentioning
confidence: 99%
“…In fact, the emission flux for PFOS in our model (0.35 mol/h; Table S4) was estimated at the provincial level in China , while Lake Chaohu is located in the most developed region in the province. Higher regional emission of PFOS to the Lake Chao area would be expected as the consequences of local or regional industrial production of PFASs (Liu et al 2015b). We subsequently applied the "inverse modeling" approach (Parajulee and Wania 2014) to estimate the emission flux to air that would be required to explain measured PFOS concentrations in the gas phase.…”
Section: Model Validationmentioning
confidence: 99%
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