Long-term monitoring and source apportionment of PM2:5/PM10 in Beijing, China

During 2001-2006,PM2.5 (particle matter with aerodynamic diameter less than 2.5 microns) and PM10 (particle matter with aerodynamic diameter less than 10 microns) were collected at the Beijng Normal University (BNU) site,China,and in 2006,at a background site in Duolun (DL).The long-term monitoring data of elements,ions,and black carbon showed that the major constituents of PM2.5 were black carbon (BC) crustal elements,nitrates,ammonium salts,and sulfates.These five major components accounted for 20%-80% of...     

烟区烟草根际与非根际土壤微生物的生态因子作用分析

烟草根际和非根际土壤的理化性质、微生物区系和土壤酶之间的相互关系尚缺乏系统研究。对南阳烟区6种土壤包括黄褐土和黄棕壤等共13个取样点的烟草根际和非根际土壤的分析表明,根际与非根际微生物之间没有对应相关关系。根际土壤真菌数与解钾菌数、硝化细菌数显著正相关;非根际土壤荧光假单胞菌数与细菌芽孢数极显著正相关,氨化细菌数与放线菌数显著负相关。与土壤容重和空隙度显著相关的仅有根际真菌数(正相关)。与土壤全氮呈显著正相关的分别有根际荧光假单胞菌、纤维素分解菌(正相关)以及根际解磷菌和非根际真菌(负相关)。土壤全C与根际细菌总数显著负相关。土壤pH与非根际纤维素分解菌显著正相关。速效P与非根际放线菌数呈显著正相关。根际土壤蛋白酶活性与根际细菌总数极显著负相关。非根际土壤蛋白酶活性则分别与非根际放线菌和解钾菌显著正相关。根际土壤脲酶活性分别与根际真菌、解磷菌显著正相关,非根际脲酶活性则与非根际纤维分解菌显著正相关。非根际土壤过氧化氢酶活性与非根际细菌总数显著正相关。     

A Pilot Study on Using Urinary 1-Hydroxypyrene Biomarker for Exposure to PAHs in Beijing

To study whether the urinary 1-hydroxypyrene (1-OHP) could be the biomarker of atmospheric PAHs, a small-scale pilot study was carried out on the relation of 1-OHP vs PAHs with the traffic policemen in Beijing of smokers and nonsmokers to be subgroups in both the exposure and control groups. Both the PAHs and 1-OHP were analyzed with high performance liquid chromatography (HPLC). The ambient concentrations of PAHs were different at the different sites (the average sum of PAHs (TPAH) were 12.36, 16.27, 18.37 ng/m³ at the suburban residential, police station and high traffic area, respectively.), but considerably lower than the personal-exposure concentrations (the average TPAH were 65.84 and 47.28 ng/m³ for patrol cars and inspection station, respectively). Pyrene was correlated well with BaP and the summed PAHs (TPAH), with the correlation coefficients (R) of 0.79, 0.87 for ambient level and 0.92, 0.96 for personal exposure, respectively. The average of 1-hydroxypyrene of smokers and nonsmokers were 0.39, 0.15 μmol/mol creatinine in control group and 0.57, 0.33 μmol/mol creatinine in exposure group, respectively. The better correlation of pyrene to BaP and TPAH especially for personal exposure samples indicated that the probability of urinary 1-hydroxypyrene, the metabolite of pyrene, to be the biomarker of total PAH. Nonsmokers in the exposure and control groups had indistinguishable levels of 1-OHP, presumably because the ambient levels of pyrene were so similar (the average were 3.25, 3.20 ng/m³ at the police station and high traffic area, respectively.). Smokers in the control group had significantly higher 1-OHP than that of the nonsmokers, but showed indistinguishable differences in the exposure group. These results suggested that urinary 1-OHP could be a biomarker of PAHs only when the level of PAHs was at a relatively higher level. Smoking as an important influencing factor need to be controlled carefully.     

染料废水的X射线粉末衍射分析

染料生产过程的废水，其中含有致癌，致畸的有毒物质，通常需经生化处理后才排放，但生化处理并不能使其毒性消除骀尽，所以对处理后排放废水的进一步分析是当今环保分析中的一个重要课题，分光光度法，高压液相色谱及色－质联用仪是作微量分析的常用方法，但难以分析难挥发物和悬浮物，我们尝试用Ｘ射线粉末衍射分析法对分离废水得到的固态难挥发物作了分析，证明此法准确，快捷，可推广，但对胶状物或含量过低的物质则不适用。     

Characteristics of ambient 1-min PM2.5 variation in Beijing

One-minute PM_2.5 concentration was obtained with LD-5C pocket microcomputer laser dust instrument from Dec. 15th, 2005 to Jan. 16th, 2006 and Mar. 17th to Apr. 28th, 2006 in Beijing. The concentration of SO₂, NO₂, O₃, CO, and PM₁₀ from Jan. 1st, 2001 to Dec. 31st, 2004 were obtained from the conversion of air pollution index. Results showed that all the pollutants showed cyclic characteristics. The longer yearly cycles was shown from SO₂, NO₂, O₃, CO, and PM₁₀, as the sampling time was 4-year long and daily collected. The shorter hourly and daily cycle was shown from 1-min PM_2.5, as the sampling time was about 1-month long and one collected at 1 min. The spectral density analysis confirmed this from the periodogram graphs. The longer yearly cycle (365, 180 days), the seasonal cycle (120, 60–90 days), and monthly cycle (21, 23, 27 days) of SO₂, NO₂, CO, O₃, and PM₁₀ were obviously shown. In addition, the shorter weekly cycle of 5–7 days is obviously shown, too. The shorter hourly cycle (8–12, 4–6, 3, 1–2 h, 20 min) of 1-min PM_2.5 was also indicated from spectral density analysis. Two major factors contribute the 1-min PM_2.5 cycles, i.e., the meteorological factors and source effects. Both the relative humidity and dew point showed consistent variation with PM_2.5, but the wind speed showed inverse variations with PM_2.5. Furthermore, the spectral density analysis of the meteorological factors (4–5, 2–2.5, 1–1.5 days, 12, 6–8, 3 h) may partially explain the cycles of PM_2.5. As for the sources effects, it can be shown from the strong dust storm of April 16–18th, 2006. PM_2.5 constantly increased tens and even hundreds of times high concentration within a few minutes due to the intensity of the dust sources.     

Mixing and transformation of Asian dust with pollution in the two dust storms over the northern China in 2006

To study the mixing and transformation of Asian dust with pollution in the two dust storms over the northern China in 2006, both TSP and PM_2.5 samples were collected at three sites of northern China in addition to the dry deposition samples collected in an episode in Beijing. 23 elements, 15 ions, and 16 PAHs in each sample were analyzed. The two dust storms in northern China were observed in April 8–10 (DS1) and April 16–18 (DS2). Compared to DS2, DS1 was weaker and more polluted with stronger mixing between crustal and pollutant aerosols during their long-range transport. The concentrations of pollution species, e.g. pollution elements, ions, and PAHs were higher in DS1 than that in DS2, while the crustal species showed adverse variation. The correlation between chemical species and Al and between PAH(4) and PAH(5,6) further confirmed the stronger chemical transformation and aerosol mixing in DS1 than that in DS2. Back trajectory and chemical analysis revealed that in DS1 the air masses at Beijing were mostly from southern or southwestern direction at lower altitude with much more pollution, while in DS2 the air masses were mostly from the northwestern and northern direction with dust mainly, which explained why there was a stronger mixing of dust with pollution aerosol in DS1 than that in DS2 over Beijing.     

Novel environmental factors affecting microbial responses and physicochemical properties by sequentially applied biochar in black soil

Environmental Science and Pollution Research - Biochar was increasingly used in agriculture soil amendment and has received widespread attention due to its potential to improve soil...