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Shanghai Du,Xiaosi Su,Wei Xu 한국지질과학협의회 2016 Geosciences Journal Vol.20 No.2
Enhanced oil recovery through carbon dioxide injection (CO2-EOR) data has made it possible to estimate the CO2 geological storage in the oilfields of the Songliao Basin, northeastern China. The storage capacity of CO2 in oilfields was determined and the results show that the theoretical storage capacity of CO2 in the oilfields of the Songliao Basin is 2.36 × 109 t, and the effective storage capacity is 0.59 × 109 t with an effective coefficient of 0.25. Among the tectonic units, the central downwarp has the highest storage capacity of 2.17 × 109 t, which accounts for 91.8% of the total storage capacity. On the other hand, the western slope area has a storage capacity of 0.13 × 109 t, which accounts for only 5.6% of the total storage capacity. Thus, the central downwarp and western slope together comprise about 97.4% of the total storage capacity, and these areas could be selected as potential areas for CO2 geological storage in the oilfields of the Songliao Basin. Furthermore, the oilfields can be used as target formations to store CO2 for about 10 years as per the estimated effective storage capacity, and 40 years according to the theoretical storage capacity. Although, the uncertainty analysis of the parameters yielded the cursory estimated results of the CO2 storage capacity, the prospect selection for the CO2 sequestration in the oilfields of the Songliao Basin is feasible based on the assessment scale.
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Hongwei Li,Wenxiang Huang,Long Xu,Xiaosi Zhou,Hongxia Liu,Zhaobang Cheng 한국식물학회 2016 Journal of Plant Biology Vol.59 No.5
Cucumber green mottle mosaic virus (CGMMV) is a major limiting factor in the production of cucumber plants worldwide. In the present study, we use plant growth-promoting rhizobacteria (PGPR) to control this virus effectively. Stenotrophomonas maltophilia HW2 was isolated from healthy cucumber root, exhibited a good biocontrol efficacy against CGMMV. Here, it is documented that 20 d after virus inoculation, the biocontrol efficacy of HW2 reached 52.61%. HW2 can effectively colonize in cucumber rhizosphere, and also promoted cucumber plants growth. We also examined the effect of HW2 on viral replication and its mechanism. Compared with the control, HW2 pre-treated plants could delay virus replication for more than 3 d and inhibit viral protein genes (CP, MP, Rep) expression in the cucumber leaf. The expression of antioxidant enzyme genes (SOD and CAT) and defense-related genes (PR1 and PR5) were quickly induced by HW2. These results suggest that HW2 induced plant defense responses to CGMMV by increasing the expression of defense response genes. We report for the first time that Stenotrophomonas maltophilia improved cucumber resistance against CGMMV, which highlights the applying of PGPR on controlling of virus diseases.
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Gu, Cuiping,Guan, Wenmei,Liu, Xiaosi,Gao, Lvlv,Wang, Liyou,Shim, Jae-Jin,Huang, Jiarui ELSEVIER SCIENCE 2017 JOURNAL OF ALLOYS AND COMPOUNDS Vol.692 No.-
<P><B>Abstract</B></P> <P>Porous Ni-doped SnO<SUB>2</SUB> microspheres and microcubes were obtained via a facile chemical solution route followed by calcination and acid-washing process. Their structural and morphological evolution was characterized using a range of techniques. The process of inducing porosity began with crystalline single-phase NiSn(OH)<SUB>6</SUB> precursors formed by the co-precipitation of metal ions from an aqueous solution. Thermal decomposition of the precursors led to an intimate mixture of cubic phase NiO and tetragonal phase SnO<SUB>2</SUB>. The Ni-doped SnO<SUB>2</SUB> microspheres and microcubes were obtained after a simple acid-washing process. A decomposition–aggregation–dissolution process was proposed to explain the formation of these structures. The gas-sensing properties of the as-prepared porous Ni-doped SnO<SUB>2</SUB> microspheres and microcubes for toxic volatile organic compounds, such as formaldehyde, ethanol, benzene, methanol, acetone, and toluene, were investigated. The enhanced sensing performance of the porous Ni-doped SnO<SUB>2</SUB> microspheres was demonstrated. The detection limits of formaldehyde and ethanol were approximately 0.17 and 0.09 ppm (signal-to-noise ratio, S/N = 3), respectively. The enhanced sensing performance of the porous Ni-doped SnO<SUB>2</SUB> microspheres was attributed to their Ni-dopant, unique porous structure and large surface area.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Porous Ni-doped SnO<SUB>2</SUB> microstructures were obtained by treatment of the precursors. </LI> <LI> Porous Ni-doped SnO<SUB>2</SUB> microstructures exhibited excellent gas-sensing properties. </LI> <LI> Excellent gas-sensing properties were attributed to the Ni-dopant and 3D structures. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>Porous Ni-doped SnO<SUB>2</SUB> microspheres and microcubes, obtained by a facile chemical solution route followed by calcination and acid-washing, showed excellent gas-sensing performances.</P> <P>[DISPLAY OMISSION]</P>
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Wenjing Zhang,Li Gao,Xun Jiao,Jun Yu,Xiaosi Su,Shanghai Du 한국지질과학협의회 2014 Geosciences Journal Vol.18 No.4
Earth fissures in Su-Xi-Chang land subsidence areahave induced massive damages to the area. The non-linear characteristicassociated with the process of earth fissure formation requiresnon-linear method for evaluating the occurrence of the hazard. Based on quantification of influence factors on breeding the hazard,GA-ANN method, which integrates artificial neural networks(ANN) with genetic algorithms (GA), is developed for evaluating theoccurrence of earth fissure hazard. Six indicators, that include thedepth of bedrock burial (DBB), the degree of bedrock relief (DBR),water level (WL) (the II confined aquifer), the gradient of landsubsidence (GLS), transmissivity (T) (the II confined aquifer) andthe thickness of clay soil (TCS), are selected as the input patternsof the integrated approach, and danger index (DI) as the outputpattern. A multilayer back-propagation neural network is trainedwith 30 sets of data samples including 15 sets of earth fissure samplesand 15 sets of safety samples for defining the architecture ofANN. Subsequently, GA is employed by optimizing the initial weightsof trained ANN by minimizing the deviation of output. The efficacy ofthe integrated approach is demonstrated by comparing the deviationof output from ANN and GA-ANN for 5 testing samples andthe result shows that the GA-ANN method is more accurate thanANN in identifying the occurrence of earth fissure. The integratedmethod is applied to the assessment of earth fissure hazard in typicalregions of earth fissure. According to the classification of DI, theregions are divided into four zones ‒ danger zone, sub-danger zone,sub-safe zone and safe zone.
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