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Waste rice straw was converted into activated carbon-supported manganese oxides (MnOx/RSAC) that were first used as a catalyst to improve the performance of ozonation of real paper-making wastewater. The results indicated that catalytic ozonation with the prepared catalyst exhibited a highly efficient performance in advanced treatment of paper-making wastewater, and the corresponding color and COD removal efficiencies were 58.5 and 77.5%, respectively. And the treated wastewater was more biodegradable and less toxic than that in ozone alone. Based on significant inhibition of the radical scavenger and fluorescence test in the catalytic ozonation process, we deduced that the enhancement of catalytic activity was responsible for MnOx/RSAC catalyzing ozone to generate more hydroxyl radicals and the possible reaction pathway was proposed. Thus, MnOx/RSAC catalyzing ozonation could serve as a stable, efficient, and economical process with a potential engineering application for treated refractory wastewater, and the results offered new insights for sustainable use of waste rice straw.
Biogas residues and coal fly ash composite (CFA/BRC) were first investigated as novel heterogeneous catalysts for strengthening electro-Fenton (EF) of real British gas/Lurgi coal gasification wastewater. The prepared CFA/BRC was characterized by different techniques, i.e., SEM, XRD, BET surface area, XRF, and ICP-AES. The results indicated that CFA/BRC significantly improved performance of pollutant removal in EF across a wide pH range with current density of 10 mA/cm² and catalyst dosage of 1.0 g/L, and the treated wastewater was more biodegradable than homogeneous EF. Meanwhile, CFA/BRC showed superior stability at successive 2,400-min runs, and leached concentrations of heavy metals were very low without the second pollutant. The change of concentrations of dissolved oxygen and electro-generated H₂O₂, and fluorescence test indicated that the novel catalyst could enhance H₂O₂ decomposition into more hydroxyl radicals, which was considered to be mainly responsible for the pollutant removal. And the results offered new insights into sustainable use of waste materials.
The aim of this research is to assess the water quality of the Liangtang River. Water samples were collected from seven sampling stations and four heavy metals (copper, lead, zinc, and chromium) were determined by spectroscopic technique. Physical and chemical parameters, including pH, DO, NH+4, TN, TP, and COD also were determined from seven water sampling stations sited along the river. It has been found that chemical oxygen demand (CODcr), ammonia nitrogen (NH+4-N), total nitrogen (TN), and total phosphorus (TP) in upstream sites were lower than those of the downstream sites, indicating pollutants being discharged along its course. Analyses also have shown that CODcr, NH+4-N, TN, and TP have a very significant positive correlation between each other, while NH+4-N, TN, and TP have a negative correlation with DO. The major sources of pollution in Liangtan River are urban wastewaters, wastewaters from industries, and other anthropogenic activities along the river. We proposed the strategies that can be applied for pollution reduction.
This research was undertaken in order to determine and analyze various heavy metals present in sediments taken from Lake Donghu. Six heavy metals: arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), lead (Pb), and zinc (Zn) were determined by inductively coupled plasma-atomic emission spectroscopy (ICPAES). Relative enrichment factors and potential ecological risk indexes were used to study the pollution status of heavy metals in sediments and assess their potential ecological risk to the environment. Sediment enrichment factors of heavy metals were found in the following order Cr > As > Cd > Zn > Cu > Pb. Potential ecological risk indices for heavy metals were: Cd > As > Cr > Cu > Pb > Zn. The calculated potential ecological risk indices showed that the lake was polluted by heavy metals. Cd had moderate potential ecological risk to the ecological environment and was the main contributor to potential toxicity response indices for various heavy metals in Lake Donghu. Analysis of variance (ANOVA) was used to establish the significance of variations in heavy metals. The mean seasonal concentrations of metals showed that there were significant differences among seasons and sampling sites (P<0.05). The cause of pollution in Lake Donghu could be associated with industrial and human activities. We proposed strategies that can be applied in order to prevent accumulation of heavy metals in the lake.
Research on the optimization of hydrological model parameters is an important issue in the field of hydrological forecasts, as these parameters not only directly impact the accuracy of forecast programs, but also relate to the development, application, and popularization of hydrological models. In this paper we selected the double-excess runoff generation model as the subject for research, and the data obtained from tens of flooding events in the Fen River Basin were used for the construction of these models. The SCE-UA and MOSCDE algorithms were then taken to optimize the models’ parameters. The results showed that: as compared with the SCE-UA algorithm, higher flood forecast accuracies were obtained through model parameter optimization using the MOSCDE algorithm. During the examination period, the compliance rate of the flood peak magnitude increased from 60% to 70%, while the compliance rate of the flood peak duration increased from 80% to 90%. The Nash-Sutcliffe efficiency (NSE) of the flood peak magnitudes increased from 0.664 to 0.878, which demonstrates an improvement in goodness-of-fit; the RMSE value of flood peak magnitudes also decreased from 399.8 to 236.84, thus showing a decrease in dispersion and an improvement in goodness-of-fit. With the continuous improvements made in hydrological parameter algorithms and the creation of new optimization algorithms, there is no doubt that the optimization of hydrological model parameters will become more reasonable.
A highly effective aerobic denitrification strain was screened from the municipal activated sludge and its gene sequence was obtained from DNA extraction and amplified by the polymerase chain reaction (PCR) amplification. Based on the result, the strain was preliminarily identified to be Pseudomonas by way of comparison with the National Centre for Biotechnology Information (NCBI) Genbank. In order to get more knowledge of the aerobic denitrification strain and its application in wastewater treatment, the strain was added into the membrane bioreactor (MBR) to construct a denitrification MBR (dMBR) for municipal wastewater treatment due to its high denitrification ability. The experiment results showed that nitrogen removal efficiency was as high as 80% in dMBR and nitrogen removal efficiency was 50% in the control MBR (cMBR), which indicated that aerobic denitrification in the MBR tank played a main role in removing the nitrogen under aerobic conditions. The best strain dosage was 20-30% in the total activated sludge. The dMBR also had a better membrane fouling resistant effect than cMBR. As a result, the dMBR could be an effective method for nitrogen removal of the wastewater treatment.
Nanoscale zero-valent iron (NZVI) as an effective material has been applied to reduce nitrate. Yet NZVI has defects of aggregation and oxidation. To overcome these disadvantages, nanoscale bimetallic iron/copper particles were introduced to reduce nitrate in this work. In this paper, nanoscale bimetallic Fe/Cu particles were prepared by the liquid phase chemical reduction method; the particles were characterized by scanning electron microscopy (SEM) and x-ray diffraction (XRD). The effect of prepared particles was evaluated by reducing synthetic nitrate wastewater, and batch experiments were conducted to investigate the effect of initial nitrate concentration and various Cu loading on nitrate reduction by nanoscale bimetallic Fe/Cu particles. The results indicated that nitrate could be completely removed in 20 min reaction by nanoscale bimetallic Fe/Cu particles when Cu loading was 5% and initial nitrate concentration was 80 mg/L. As a result, the nitrate in wastewater was converted into ammonium and nitrogen gas, with nitrite as an intermediate by-product.
Porcine reproductive and respiratory syndrome virus (PRRSV) is an important swine pathogen, causing huge economic losses each year worldwide. Immunization with vaccines containing the glycoprotein 5 (GP5) of PRRSV is the main measure to induce neutralizing antibodies and control the disease. Here, we developed a GP5 protein-based ELISA for detecting antibodies against PRRSV. The overall yield of purified GP5 in E. coli flask culture was more than 45 mg/L cell culture. Western blot and IFA indicated that the GP5 protein was highly immunogenic. After optimization and validation with IDEXX PRRS using 566 clinical sera, the DSN, DSP, and accuracy of GP5-ELISA were 81.39%, 75.96%, and 80.39%, respectively. Besides, GP5-ELISA is highly specific, showing no cross-reactions with sera against other important swine pathogens. Hence, GP5 is a good diagnostic antigen and the GP5 protein-based ELISA has the potential to be used in the field
The flash flood early warning method based on dynamic critical precipitation is proposed, which takes into account the percentage saturation of soil moisture content in double-excess model. A series of historical precipitation data of various gauge stations in the upper catchment of the study area at the early warning cross-section are set as the input parameters, thereby the runoff generation and concentration in the catchment are obtained in the double-excess model, and the percent saturation of soil moisture content is calculated. Based on the warning discharge in combination with the percentage saturation of soil moisture content, the discriminant relations of the critical precipitation for the time intervals, including 0.5 h, 1 h, 1.5 h, 2 h, 2.5 h, and 3 h, are computed respectively using the inversion method. Using the precipitation data from ground rain gauge stations for year x and flood hydrograph data of x typical flood events for the Dayuhe River catchment, the SCE-UA algorithm is adopted to calibrate the parameters of the double-excess model, and the discriminant functions of dynamic critical precipitation for flash flood early warning with 6 time scales are validated using x representative historical flood hydrographs. The qualification ratio for flash flood early warning exceeds x, which demonstrates the feasibility and applicability of the proposed method.
Three kinds of soil with different levels of polycyclic aromatic hydrocarbon (PAH) contamination were collected, and diesel was added to soil to prepare two kinds of diesel-contaminated soil. The radish was planted in five kinds of soil through a pot experiment, and the concentration and composition of PAHs in radish were analyzed using high-performance liquid chromatography with an ultraviolet and fluorescent detector. The PAH contribution in aboveground parts of radish from atmospherically deposited particulates was studied, and the health risk of ingesting contaminated radish was assessed. Results showed that PAH concentrations (196.2-982.6 ng/g) in the parts of radish found underground were significantly higher than in aboveground parts (129.7-556.7 ng/g, p<0.05). Predominant PAH compounds in radish were the 3- and 4-ring PAHs, accounting for 78.1-92.7%. In general, the values of root concentration factors (RCFs: 0.30-0.55) were significantly higher than shoot concentration factors (SCFs: 0.19-0.39, p<0.05). Atmospherically deposited particles contributed less than 1% of the PAHs in aboveground parts of radish, which indicated two things: the atmospheric particles had a slight effect on the PAH content in aboveground parts of radish , and the soil contributed more to PAH accumulation in aboveground parts of radish than the particles. The total toxicity equivalence quotient in radish grown in diesel-contaminated soil samples was higher than in other types of soil. Ingestion of radish planted in five kinds of soil had no carcinogenic risk to children, adolescents, and seniors; whereas ingestion of radish from heavily contaminated and diesel-contaminated soil samples had carcinogenic risks to adults. This study highlights the accumulation and potential health risks associated with cultivation and consumption of radish in soil with different contamination levels and sources of PAHs.
The ongoing warming in the Qinghai-Tibetan Plateau leads to changes in ecosystem processes while the responses of soil and vegetation are not well understand. Thus, we used infrared radiators to carry out experimental warming from July 2010 to August 2011 in an alpine meadow on the Plateau (about 4630 m above sea level) to research the responses of environmental factors and vegetation characteristics to short-term warming (1 year). The experimental design was a block design consisting of five replications and included three treatment levels: control, T1 (130 W m–2) and T2 (150 W m–2). The results showed that air temperature at 20 cm height, surface temperature and soil temperature in the 0–100 cm layers increased with warming. The biggest differences of T1 (1.66°C) and T2 (2.34 °C) appeared on the surface and at 20 cm depth, whereas the biggest amplitudes of T1 (27.15%) and T2 (35.81%) all occurred at 100 cm depth. Soil moisture showed different trends with warming in different soil layers. In the 0–40 cm layers, soil moisture decreased with warming. The biggest differences (–2.97% for T1 and –2.73% for T2) and amplitudes (–18.07% for T1 and –16.64% for T2) all appeared at 10 cm depth. In the 60–100 cm layers, soil moisture increased with warming. The biggest differences (2.53% for T1 and 6.45% for T2) and amplitudes (11.39% for T1 and 29.05% for T2) all occurred at 100 cm depth. Relative to control, vegetation height and aboveground biomass increased significantly in T1 and T2 (P <0.05), while vegetation coverage had not significant differences in T1 and T2 (P> 0.05). In T1 and T2, the amplitudes were 30.67% and 30.19% for vegetation height, and 36.22% and 27.87% for vegetation aboveground biomass, and 12.89% and 4.42% for vegetation coverage, respectively. In the path analysis between environment and vegetation properties, vegetation was directly affected by soil moisture at 40 cm and 60 cm depths, whereas indirectly influenced by relative humidity at 20 cm height and soil temperature at 40 cm depth. This might be related to the downward movement of the soil moisture caused by warming.
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