To reveal what degree bioaccumulation of polybrominated diphenyl ethers (PBDEs) depends on exposure time and other factors, we conducted a semi-field experiment for a year (June 2008-June 2009) in a village in an e-waste recycling site in Taizhou, China. Approximately one hundred of juvenile ducks (Anas domestica Linnaeus) were entrusted to a villager. The ducks lived and forged in a PBDE-pollu...

T h e b a c k g r o u n d a t m o s p h e r i c m i x i n g r a t i o s f o r a r a n g e o f c y c l i c p e r f l u o r o c a r b o n s ( c y c l i c P F C s ) , w i d e l y u s e d i n a t m o s p h e r i c d i s p e r s i o n s t u d i e s , h a v e b e e n m e a s u r e d b y g a s c h r o m a t o g r a p h y m a s s s p c t r o m e t r y i n n e g a t i v e i o n c h e m i c a l i o n i z...

Arsenic contamination is of great environmental concern due to its toxic effects as a carcinogen. Knowledge of arsenic background concentrations is important for land application of wastes and for making remediation decisions. The soil clean-up target level for arsenic in Florida (0.8 and 3.7 mg kg for residential and commercial areas, y1 respectively) lies within the range of both background a...

Total gaseous mercury (TGM) data from urban Nanjing, at the western edge of the Yangtze River Delta (YRD) region in China, over nine months, were analyzed for peak and background mercury concentrations. The background concentration of TGM was found to be 2.2 ng∙m. In examining episodic influences of free tropospheric air masses on the surface TGM concentrations in Nanjing, we hypothesize hetero...

This study aims to develop a second order self-organizing fuzzy neural network (SOFNN) to predict the hourly concentrations of fine particulate matter (PM2.5) for the next 24 h at a regional background station called Shangdianzi (SDZ) in China from 14 to 23 January 2010. The structure of the SOFNN was automatically adjusted according to the sensitivity analysis (SA) of model output and the para...