Abstract:Levels and distributions of 6 phthalate esters (PAEs), 13 polybrominated diphenyl ethers (PBDEs) and 9 organophosphate esters (OPEs) in 5 sediment samples collected from Taige Canal were investigated. The samples for PAEs and PBDEs analysis were microwave extracted, and then determined by gas chromatographymass spectrometry, while the samples for OPEs analysis were accelerated solvent extracted followed by liquid chromatographymass spectrometry. PAEs, PBDEs and OPEs were detected in all the sediments at concentrations ranging from 1.99~6.90 μg/g，47~572 and 17.1~69.7 ng/g. Decabrominated diphenyl ether (BDE-209) and tris(2ethylhexyl) phosphate (TEHP) were the dominant compounds for the detected PBDEs and OPEs, respectively. As for PAEs, Dinbutyl phthalate (DBP) was the main compound, except in the site of estuarine to Taihu Lake, where di(2ethylhexyl) Phthalate（DEHP) had the highest concentration. Significant correlation between the concentrations of PAEs and PBDEs, PAEs and OPEs, PBDEs and OPEs was observed, indicating the same source for three kinds of pollutants. The levels of all the pollutants in the downstream of the Taige Canal were higher than those in the upstream, plasticizer and flame retardants pollution to Taihu Lake from production and life activities should be paid attention.

Abstract:Using Pearson correlation coefficient, relationship between PM_2.5 concentration ［ρ（PM_2.5］and meteorological factors in three typical cities Beijing, Nanjing and Guangzhou were analyzed during 2013 to 2016. The results showed that the maximun correlation coefficient between ρ（PM_2.5） and wind speed factor in the three cities was -0.44, -0.29 and -0.37 in turn, and the maximun correlation coefficient was -0.44, -0.33 and -0.37 for the temperature factor. Atmospheric pressure was positively correlated with ρ（PM_2.5） in Nanjing and Guangzhou, and the maximum correlation coefficient of the pressure factor was 0.25 and 0.34, respectively. Humidity was positively correlated with ρ（PM_2.5） in Beijing but negatively correlated with ρ（PM_2.5）in Guangzhou, with the maximum correlation coefficient of humidity factor 0.49 and -0.36, respectively. The correlation coefficient between sunshine hours and ρ（PM_2.5） of Beijing was -0.46. The correlation coefficient between precipitation and ρ（PM_2.5） in Nanjing and Guangzhou was -0.20 and -0.24, respectively. The prediction model of next day ρ（PM_2.5） and meteorological factors was established by the stepwise linear regression method, with the composite correlation coefficients being 0.722 8, 0.770 6 and 0.809 9 respectively. Annual average ρ（PM_2.5） values in 2016 are overestimated by 4， 5 and 3 μg/m³, while the average relative errors for daily mean are ± 45.6%, ± 32.9% and ± 26.0%, respectively The model generally underestimated the high value of ρ（PM_2.5）.

Abstract:In this paper, the hourly PM_2.5 and PM₁₀ concentration data in Xuzhou during 2015 were used to analyze the temporal and spatial variability of particulate matter. Then, based on the HYSPLIT backtrajectory model, GDAS meteorological data and air quality data, the transport pathways and the potential sources regions of PM_2.5 and PM₁₀ in different seasons were examined using cluster analysis and potential source contribution function analysis. The results showed that the annual average concentrations of PM_2.5 and PM₁₀ in 2015 were 65 and 122 μg/m₃ respectively, which exceeded the national Ambient Air Quality Standard (AAQS) (BG 3095—2012) Grade II standards by 86% and 63%. The monthly variation of PM_2.5and PM₁₀ concentrations presented a "V" feature with high concentration in winter and low concentration in summer in all stations, which was related to the seasonal changes of meteorological conditions and the characteristics of airflow trajectories. Xuzhou was mainly affected by polluted inland northwest air masses and more stable meteorological conditions in autumn and winter, while in spring and summer, it was affected by relatively clean eastern marine air masses. Potential Source Contribution Function (PSCF) results showed that Shandong, Anhui, Central and South Jiangsu, Northwest Zhejiang and other regions were the main potential source regions of PM_2.5 and PM₁₀ in Xuzhou. There were some differences in the distribution range of potential source regions in each season and the most widely distributed potential source areas were in winter. Compared with other seasons, there was a clear trend extending to the northwest.

Abstract:Advantages and shortcomings were analyzed for the sampling and analyzing units used for the monitoring of ultra low emission gaseous pollutants from coal-fired power plant. Three different sampling methods of dilution extraction, cold dry extraction and heat humidity extraction were compared together with five different analyzing methods including NDIR, NDUV, DOAS, UVF and CL. Results showed that cold dry extraction plus DOAS and dilution extraction plus UVF and CL are more suitable for the monitoring of ultra low emission gaseous pollutants from coal-fired power plant.

Abstract:In this paper, the key analytical conditions were discussed which affected the determination results of the cationic exchange capacity in soil by ammonium acetate exchangevolumetricy method. The test results showed that the optimal analytical conditions were: the size of the soil sample was 20 meshes by grinding, the solidliquid ratio of soil sample and ammonium acetate solution was 2g∶50 mL, the oscillation frequency was 240 r/min and the oscillation time was 4 min, the amount of ethanol used as an ammonium ion eluent was 150 mL which was divided into an average of three times, the distilled liquid volume was 120 mL which was distilled by steam. By the methods validation, the detection limit was 1.0 cmol/kg, the quantitative limit was 4.0 cmol/kg and the relative standard deviation was from 2.4% to 4.6% (n= 6) in representative samples which the pH was ranged from 5.69 to 8.13, at the same time, the results of soil standard samples are consistent with the standard values. Therefore, the method had excellent applicability, and can meet the quality requirement of national soil environmental monitoring and farmland investigation. 

Abstract:The potassium persulfate oxidation, flow injection analysis, and high temperature oxidationchemiluminescence detection methods were compared from the standard curve, detection limit and measurement range, method precision, accuracy test, actual seawater sample determination results, determination of recovery rate, analysis efficiency and material consumption. The experimental results indicated that, the measurement range of flow injection analysis and high temperature oxidationchemiluminescence detection were wider, the precision and accuracy were better, and the spiked recoveries of the three samples were between 96.2% and 101%. The high temperature oxidationchemiluminescence detection method had high analysis efficiency, low material consumption, energy saving and environmental protection, but it showed high detection limit, so it was more suitable for the analysis of bulk seawater samples with higher total nitrogen content. Flow injection analysis was more suitable for the analysis of bulk seawater samples with lower total nitrogen content because of its lower detection limit.

Abstract:Graphite digestion furnace ICPOES was applied to the determination of total Sb in dyeing wastewater. The results showed good linear relationship between emission intensity signal and concentration of Sb in the range of 0~10 mg/L with R value 0.999 5. The method detection limit (MDL) and limit of quantitative determination (LQD) were 0.003 and 0.012 mg/L, respectively. The relative standard deviations (RSD) ranged from 0.17%~2.6%. The recoveries were recorded at a range of 96.1%~103.8%. This method was simple and rapid, and meets the requirement of technical specification.

Abstract:The hot mercury method and the cold mercury method were established through setting the working conditions of atomic fluorescence spectrometer. The detection limit, the linear correlation coefficients, the accuracy and the precision of two methods were compared. The detection limit of cold mercury method was 0.003 μg/L, and hot mercury method was 0.01 μg/L. The linear correlation coefficients of the two methods were 0.999 9 and 0.999 7, respectively. And the sample recovery rates of cold mercury method were 102%～106 %, and hot mercury method were 106%～113%. The study results revealed the cold mercury method had a lower detection limit, a better and the sensitivity and the accuracy were better than the hot mercury method. As for the cold mercury method, it can increase the sensitivity and the accuracy by increasing the negative pressure, and it has the lower detection limit.

Abstract:This paper analyzes the ozone pollution in Jiangsu Province from 2014 to 2016, and the pollution distribution characteristics of ozone in Northern Jiangsu, Central Jiangsu and Southern Jiangsu three typical areas, focusing on yearly variation，seasonal variation, diurnal variation and frequency distribution. The results showed that the distribution of ozone in Jiangsu province presented a spatial distribution of higher in southern and lower in northern. The percentage of ozone exceeding the maximum allowable limit from 2014 to 2016 increased from 18.4% to 34.9%. In 2016, the 90th percentile of O₃-8h in Northern, Central and Southern Jiangsu area increased by 2.7%, 21.8% and 3.3% compared with 2014. The highest concentration of ozone was in summer, followed by the spring and autumn, and the lowest in winter. The daily change of O₃-1h was unimodal, the lowest value appeared at 06:00—07:00, the highest value appeared at 15:00—16:00. The proportion of ozone frequency in three typical areas in 2016 was normally distributed, mainly concentrated in 40~80 μg/m³, with a proportion of over 15%. Compared with 2014,Central Jiangsu and Northern Jiangsu showed great amplitude of variation of the frequency distribution of ozone, while Northern Jiangsu showed little change. The above analysis showed that the level of ozone pollution in Jiangsu is increasing year by year, and the pollution area spread gradually from Southern Jiangsu to central and northern cities.

Abstract:In order to clarify the pollution level and health risks of polycyclic aromatic hydrocarbons(PAHs) in surface soil of Guan River Estuery Industrial Area, 30 surface soil samples were collected from the study area, and 16 kinds of priority control PAH were detected by gas chromatographymass spectrometry(GCMS). The results showed that the total concentration of 16 kinds of PAH(T PAHs) in 30 sampling sites ranged from 1 212.8 to 12 264.5 ng/g, with an average concentration of 3 504.8 ng/g. The monomer PAH was dominated by Fl, with an average ratio of 19.4%, followed by Pyr(16.7%) and B［a］P(9.6%). The correlation analysis of monomer PAH suggested that the consistency of pollution sources, and the characteristic ratio indicated that PAHs originated from crude oil, biomass and coal combustion processes in local industrial areas. According to the Canadian soil environmental quality standards, 87% of sampling sites in the industrial area of Guan River Estuary exceeded the safe value, and there is a potential ecological risk.

Abstract:Based on the monitoring results of rural environment in Jiangsu Province during the 12th Five-year Plan, this paper made an overall evaluation on the environmental quality from the aspects of ambient air, surface water, drinking water source and soil. The results showed that the annual average values of SO₂，NO₂and PM₁₀ in the rural ambient air of Jiangsu province commit the class Ⅱ value set by “GB 3095—2012”, and the air quality of north Jiangsu is better than that of south Jiangsu. The water quality of drinking water source commits the class Ⅲ values set by “GB 3838—2002”, but in some sections, it’s still in class Ⅳ or inferior Ⅴ class. The rural soil environment quality is overall pollution free. The RQI is in the range of 46~78, south Jiangsu shows better environment quality. It is suggested that the rural environmental monitoring capability be further promoted, the automatic monitoring of rural environment be developed and regularly running, so that the status of rural environment be stated clearly as early as possible.

Abstract:In the process of selfmonitoring of pollution discharge in fossil fuel power enterprises, problems such as incomplete quality management system，insufficient manual monitoring capability，weak supervision of thirdparty testing institutions are still existed. Based on the four aspects of quality management system construction, quality control mechanism establishment, thirdparty testing institution supervision and intelligent management application, this paper puts forward the improvement suggestion of selfmonitoring quality improvement of fossil fuel power enterprises, and provides reliable quality assurance for the scientific and accurate of selfmonitoring data.

Abstract:Based on the study of the water quality and the regional water quality of the Taipu River landmarks, this paper points out that the main over-standard factors of the water quality of the landmarks are dissolved oxygen and total phosphorus. The main reasons for the investigation of water pollution in the region were analyzed, including agricultural non-point source pollution, industrial pollution, relative lagging of domestic sewage treatment, endogenous pollution, and regional water pollution caused by incompletely dredging of malodorous-black rivers. Relevant suggestions have been put forward that we should take measures against agricultural non-point source pollution and industrial pollution, should strengthen the control of regional pollutants and domestic sources, in order to promote the recovery of ecosystem of river and lake, and to strengthen the administration of automatic monitoring station.