Contamination profiles of 11 kinds of perfluorinated compounds (PFCs) were analyzed by using ultra high performance liquid chromatography-triple quadrupole mass spectrometry in water and sediment samples of Hanjiang River in dry and wet seasons. The results showed that 11 kinds of PFCs were all detected. The total concentrations of PFCs in water and sediment were 0.3-23.04 ng/L, 0-55.1 ng/g in dry season and 0.16-19.68 ng/L, 0.99-85.07 ng/g in wet season. The maximum concentration of PFCs was detected in Wuhan where Hanjiang River feeds into Yangtze River. Meanwhile,Wuhan had the highest concentration of perfluorooctanoic acid (PFOA) with 22.52 ng/L in dry season and 12.52 ng/L in wet season. Perfluoroheptanoic acid (PFHpA) and perfluorohexanoic acid (PFHxA) were the dominant PFCs in sediment and the highest total concentration of PFCs was detected in Taocha. There was little difference in the concentration composition of ∑PFCs in sediment in both seasons. The risk quotient method was used for the ecological risk assessment of PFOA, perfluorooctane sulfonic acid (PFOS), perfluorononanoic acid (PFNA), PFHxA and perfluorodecanoic acid (PFDA) in water, and PFOA and PFOS in sediment based on the measured environmental concentration (MEC) and the predicted non-effect concentration (PNEC) of target pollutants.The assessment results suggest that the above PFCs in water and sediment of Hanjiang River posed no ecological risk to environment.

Based on the 36-year (1979-2014) ERA-Interim 10 m sea surface wind data from European Centre for Medium-Range Weather Forecasts (ECMWF), the climatic long term trend of the wind energy resource of the Gwadar Port of Pakistan was analyzed. Using two linear regression and artificial neural network (ANN) techniques, the wind energy resource in the long term was predicted. The results show that wind energy in summer is richer than that in winter. The stability in summer is better than that in winter. For the past 36 years, the wind power density, occurrence of effective wind speed and energy level occurrence have significant annual decreasing trends, of -0.78 W/(m² · a), -0.21%/a, -0.22%/a separately. These trends mainly exhibit in summer, while no significant variation in winter. The stability (coefficient of variation, monthly variability index and seasonal variability index) does not have a significant long term trend for the past 36 years. From the prediction value, the wind energy resource in 2015 is similar to the multi-year average value, while the wind energy resource in 2016 is richer than the multi-year average value. For the year 2015-2016, the prediction wind energy will be more unstable than the multi-year average status. The results can provide scientific reference for the 21st Maritime Silk Road construction, development of remote islands and ports in the China seas.