Association between short-term exposure to ambient air pollution and number of outpatient Helicobacter pylori infection visits

Environmental Science and Pollution Research - Helicobacter pylori infection (HPI) is an important risk factor of gastrointestinal diseases, but factors leading to it are still not fully...     

Treatment of drilling fluid waste during oil and gas drilling: a review

Environmental Science and Pollution Research - Oil and gas exploration and development provide important energy sources for the world, and drilling fluid is an essential engineering material for...     

Shaping effects of rice,wheat, maize,and soybean seedlings on their rhizosphere microbial community

The rhizosphere microbiome plays critical roles in plant growth and is an important interface for resource exchange between plants and the soil environment. Crops at various growing stages, especially the seedling stage, have strong shaping effects on the rhizosphere microbial community, and such community reconstruction will positively feed back to the plant growth. In the present study, we analyzed the variations of bacterial and fungal communities in the rhizosphere of four crop species: rice, soybean, maize, and wheat during successive cultivations (three repeats for the seedling stages) using 16S rRNA gene and internal transcribed spacer (ITS) high-throughput sequencing. We found that the relative abundances of specific microorganisms decreased after different cultivation times, e.g., Sphingomonas, Pseudomonas, Rhodanobacter, and Caulobacter, which have been reported as plant-growth beneficial bacteria. The relative abundances of potential plant pathogenic fungi Myrothecium and Ascochyta increased with the successive cultivation times. The co-occurrence network analysis showed that the bacterial and fungal communities under maize were much more stable than those under rice, soybean, and wheat. The present study explored the characteristics of bacteria and fungi in crop seedling rhizosphere and indicated that the characteristics of indigenous soil flora might determine the plant growth status. Further study will focus on the use of the critical microorganisms to control the growth and yield of specific crops.

     

基于高效絮凝沉淀池与翻板滤池组合工艺的工程案例

以银川市某水厂为例,评估高效絮凝沉淀池与翻板滤池组合工艺的工程应用效果。结果表明,高效絮凝沉淀池与翻板滤池组合工艺能够适应较大水质波动,具有一定抗冲击负荷能力。其浊度去除率和高锰酸盐指数 (以COD_Mn计) 去除率较高,出水水质满足《生活饮用水卫生标准》 (GB/T5749-2006) 。通过调整排泥量和污泥回流比,能够有效解决沉淀池泥位超标问题。根据翻板滤池的过滤负荷和滤水阀门的开度调整反冲洗周期,能够提高过滤效率,节约电耗。少量无烟煤滤料的流失对翻板滤池出水浊度无影响。本研究结果可为低温低浊水处理工程提供设计经验和工程案例参考。     

Solid phase extraction with pyrenebutyric acid-bonded silica for analysis of polychlorinated biphenyls in sewage water by gas chromatography-mass spectrometry

A solid phase extraction (SPE) method using pyrenebutyric acid-bonded silica (PYB) as sorbent was developed to determine 23 polychlorinated biphenyls (PCBs) in sewage water by gas chromatography-mass spectrometry (GC-MS). Factors were optimized in SPE procedures including elution solvent, pH, and cartridge burden. The recoveries of 23 PCB congeners were 69.44-111.91% under optimized conditions. Comparisons were also conducted among PYB-SPE, C(18)-SPE and United States Environmental Protection Agency 608 (USEPA608) methods in the analysis of PCBs in sewage water samples. The results showed that the performance of PYB-SPE method was similar with USEPA608 method and better than C(18)-SPE method. Both PYB-SPE and USEPA608 methods were then employed to analyze PCBs in real spiked sewage water samples. The recoveries of PCB congeners determined by PYB-SPE method ranged from 70.6% to 92.4% in real spiked sewage water samples which were identified to be in accordance with USEPA608 method. Limits of detection (LOD) were in the range of 0.06-0.22ngL(-1) for PCB congeners. The optimized PYB-SPE method was successfully applied to the determination of PCBs in sewage water samples.     

不同共代谢基质下四氯乙烯厌氧生物降解研究

分别用葡萄糖、乳酸盐和醋酸盐作为驯化好的厌氧污泥的共代谢基质 ,对四氯乙烯 ( PCE)的降解进行研究。结果表明 ,PCE是通过还原脱氯发生生物降解的。实验的回归结果表明 ,反应均符合一级动力学方程 ;反应速率常数的大小依次为 k乳酸盐 >k葡萄糖 >k醋酸盐 ;以乳酸盐作为共代谢基质时 ,PCE的降解速率较快 ,在实验条件下乳酸盐是最合适的共代谢基质     

多氯联苯污染沉积物质量评价研究进展

介绍了多氯联苯污染沉积物质量评价的研究进展 ,其中 ,简单介绍了多氯联苯的有关概况及环境行为、沉积物质量评价方法及基准研究进展 ;最后 ,重点介绍了包括多氯联苯在内的憎水性有机物污染沉积物质量评价的研究现状及存在问题。     

短程硝化的实现、维持与过程控制的研究现状

短程生物脱氮技术目前倍受人们的关注,国内外学者对短程硝化提出了多种实现及维持的控制途径,但仍存在着一些问题。由于活性污泥法中DO,ORP,pH的变化规律从不同角度不同程度地反映了生物脱氮反应的进程,所以用它们作为控制参数就可以对生物脱氮反应进行过程控制。在分析中,通过对国内外短程硝化控制途径的研究现状与发展趋势的分析和总结,针对目前在实现短程硝化及维持短程硝化各种途径中存在的问题,提出了通过在线检测DO,pH,ORP来实现与维持短程硝化的新思路。     

Polychlorinated dibenzo-p-dioxins and dibenzofurans from food salt samples processed by heat treatment in Korea

Eight samples of processed food salt collected from five plants in Korea were analyzed for 2,3,7,8-substituted polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) using liquid-liquid extraction, clean-up procedures, and high resolution gas chromatography-high resolution mass spectrometry. The study included the analyses of two kinds of salt product sample: bamboo-salt and parched salt. The levels of toxic PCDD/Fs found in the salt product samples were extremely low: the results revealed TEQ levels ranging between the sub pg TEQ/g and sub fg TEQ/g. The differences in the TEQ values of toxic PCDD/F were observed between the salt product samples, which were treated with different frequency of baking using four different fuels (firewood, pine wood, pine resin, and indirect heating by gas) at temperatures from 300 to 2000 degrees C. In bamboo-salt samples, the concentrations and TEQ values of toxic PCDD/Fs ranged between 0.57-66 pg/g and 5.7x10(-5)-0.64 pg TEQ/g, respectively. PCDD/Fs levels in bamboo-salts baked by firewood were found to be higher than those baked by pinewood or pine resin. In parched salt samples, the concentrations and TEQ values of toxic PCDD/Fs ranged between 0.97-3.7 pg/g and 0.0097-0.017 pg TEQ/g, respectively. The data was discussed regarding the concentration and the distribution pattern of congeners.     

Progress in developing an ANN model for air pollution index forecast

An air pollution index (API) reporting system is introduced to selected cities of China for public communication on air quality data. Shanghai is the first city in China providing daily average API reports and forecasts. This paper describes the development of an artificial neural network (ANN) model for the API forecasting in Shanghai. It is a multiple layer perceptron (MLP) network, with meteorological forecasting data as the main input, to output the next day average API values. However, the initial version of the MLP model did not work well. To improve the model, a series of tests were conducted with respect to the training method and structure optimization. Based on the test results, the training algorithm was modified and a new model was built. The new model is now being used in Shanghai for API forecasting. Its performance is shown reasonably well in comparison with observation. The application of the old model was only weakly correlated with observation. In 1-year application, the correlation coefficients were 0.2314, 0.1022 and 0.1710 for TSP, SO₂ and NO_x, respectively. But for the new model, for over 8 months application, the correlation coefficients are raised to 0.6056, 0.6993 and 0.6300 for PM₁₀, SO₂, and NO₂. Further, the new algorithm does not rely on manpower intervention so that it is now being applied in several other Chinese cities with quite different meteorological conditions. The structure of the model and the application results are presented in this paper and also the problems to be further studied.