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1.
Huan Jing Ke Xue ; 42(11): 5131-5142, 2021 Nov 08.
Article in Chinese | MEDLINE | ID: mdl-34708952

ABSTRACT

In order to systematically study the transmission characteristics of seasonal and typical pollutants in Shijiazhuang, hourly data of ground-level pollutants(PM2.5, PM10, O3, NO2, SO2, and CO) from 46 state-and provincial-controlled stations, and meteorological(temperature, humidity, and wind speed) data from 17 counties in Shijiazhuang City from December 2018 to November 2019 was analyzed. The interpolation(IDW) and correlation analysis were applied to seasonal and temporal spatial patterns of pollutant concentration. The backward trajectories analysis was performed to explore the seasonal transmission pattern and potential source areas of pollution in Shijiazhuang by combining with the global data assimilation system(GDAS). The results indicate that the different seasons have characteristic pollutants, as follows:spring(PM10, 48.91%), summer(O3, 81.97%), autumn(PM10 and PM2.5, 47.54% and 32.79%), and winter(PM2.5, 74.44%), which are related to the variation of meteorological conditions. Furthermore, the PM10(spring) concentration correlated negatively with the wind speed, presenting a high distribution in the northwest and low in the southeast, with a southerly transmission direction(53.32%). Central and southern Hebei, central and northern Henan, and central Shanxi are the potential sources of pollution(WPCWTij ≥ 160 µg·m-3), impacting western Shandong and northwest Shanxi(WPSCFij ≥ 0.3) with PM10. Moreover, the O3(summer) concentration correlated positively with temperature, and negatively with humidity. The southeast-south(54.24%) is the source direction of the transmission, and the potential source of O3 pollution is an arc area with Shijiazhuang in the center and Cangzhou and Heze as the double wings. Lastly, the PM2.5(autumn and winter) concentration correlated positively with humidity, and the winter concentration shows an increasing gradient from west to east. The trajectories of PM2.5 clustered the source directions:autumn(northeast-southeast, 74.75%), winter(northwest, 55.47%); central and southern Hebei, central and western Shanxi and northern Henan are the concentrated sources of potential pollution(WPCWTij ≥ 180 µg·m-3).


Subject(s)
Air Pollutants , Air Pollution , Air Pollutants/analysis , China , Environmental Monitoring , Environmental Pollution , Particulate Matter/analysis , Seasons
2.
Huan Jing Ke Xue ; 42(11): 5152-5161, 2021 Nov 08.
Article in Chinese | MEDLINE | ID: mdl-34708954

ABSTRACT

In order to study the seasonal variations and pollution sources of carbonaceous species in PM2.5 in Chengde, the concentration of these components was determined in atmospheric PM2.5 samples collected in January, April, July, and October 2019. The change in carbonaceous species were analyzed based on the estimation of the ratio of organic carbon(OC) to elemental carbon(EC), total carbonaceous aerosol(TCA), and secondary organic carbon(SOC). The source of these pollutants was determined by means of the backward trajectory and principal component analysis(PCA). The results showed that the mean mass concentrations of PM2.5, OC, and EC during the sampling period were(31.26±21.39) µg·m-3,(13.27±8.68) µg·m-3, and(2.80±1.95) µg·m-3, respectively. The seasonal variations of PM2.5 were:winter[(47.68±30.37) µg·m-3]>autumn[(28.72±17.12) µg·m-3]>spring[(26.59±15.32) µg·m-3]>summer[(23.17±8.38) µg·m-3], consistent with the trend of total carbon(TC), OC, and EC. The source of OC and EC during winter(R2=0.85) was similar. Based on the ratio of OC/EC, all four seasons were affected by traffic and coal-burning source emissions, and the most affected season by bituminous coal emissions was winter. The average concentration of TCA was(21.38±13.68) µg·m-3, which accounted for 68.39% of PM2.5. The order of secondary conversion rate(SOC/OC) was:spring(54.09%) >autumn(37.64%) >summer(32.91%) >winter(25.43%). The results of the backward trajectory simulation show that the pollutant concentrations carried by air masses are relatively low in spring and summer, and the transport channels of pollutants are southwest in autumn and northwest in winter. The results of the PCA showed that the key to reducing PM2.5 in Chengde is to control emissions from vehicle exhausts, and coal and biomass combustion sources.


Subject(s)
Air Pollutants , Particulate Matter , Aerosols/analysis , Air Pollutants/analysis , Carbon/analysis , China , Environmental Monitoring , Particulate Matter/analysis , Seasons , Vehicle Emissions/analysis
3.
Org Lett ; 22(19): 7640-7644, 2020 Oct 02.
Article in English | MEDLINE | ID: mdl-32929972

ABSTRACT

A silver-catalyzed cascade cyclization reaction of isocyanides with sulfoxonium ylides has been developed for the first time. This reaction provides a new and efficient method for the construction of highly functionalized 3-aminofurans and 4-aminoquinolines from readily available starting materials in a single step.

4.
Yi Chuan ; 31(8): 859-64, 2009 Aug.
Article in Chinese | MEDLINE | ID: mdl-19689949

ABSTRACT

A prokaryotic expression plasmid pET-IbGST, which contains the full encoding region of a glutathione-S- transferase (GST) gene of sweet potato, was constructed. The recombinant IBGSTU1 protein was expressed in Escherichia coli and found in the soluble fraction, as well as in insoluble inclusion bodies of lysed cells. Its enzymatic activity was detected using UV spectrophotometer. The protein was purified and used to prepare antibody. Semi-quantitative RT-PCR and Western blotting analyses demonstrated that IBGSTU1 gene was not expressed under normal conditions. When subjected to some environ-mental stresses such as cold-stress or heavy-medal stress, the organism switches on the expression of IBGSTU1 at both mRNA and protein levels, and its expression has tissue specificity.


Subject(s)
Gene Expression Regulation, Plant , Glutathione Transferase/genetics , Ipomoea batatas/enzymology , Ipomoea batatas/physiology , Plant Proteins/genetics , Stress, Physiological , Escherichia coli/genetics , Escherichia coli/metabolism , Gene Expression , Glutathione Transferase/isolation & purification , Glutathione Transferase/metabolism , Ipomoea batatas/genetics , Plant Proteins/isolation & purification , Plant Proteins/metabolism , Recombinant Fusion Proteins/genetics , Recombinant Fusion Proteins/metabolism
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