Effects of vermiculite on the growth process of submerged macrophyte Vallisneria spiralis and sediment microecological environment

Ecological restoration is one of the hot technologies for the reconstruction of eutrophic lake ecosystems in which the restoration and propagation of submerged plants is the key and difficult step. In this paper, the effect of vermiculite on the growth process of Vallisneria spiralis and sediment microenvironment were investigated, aiming to provide a theoretical basis for the application of vermiculite in aquatic ecological restoration. Results of growth indexes demonstrated that 5% and 10% vermiculite treatment groups statistically promote the growth of Vallisneria spiralis compared to the control. Meanwhile, the results of ecophysiological indexes showed that photosynthetic pigment, soluble sugar content, superoxide dismutase (SOD), and catalase (CAT) activity of 5% and 10% group were increased compared with the control while the malondialdehyde (MDA) content exhibited the opposite result (p < 0.05), which illustrated that vermiculite can improve the resistance of plants and delay the aging process of Vallisneria spiralis. In addition, result of PCA (Principal Component Analysis) demonstrated 5% and 10% group has improved the sediment physical conditions and create more ecological niche for microorganisms directly, and then promoted the growth of plants. The dissolution results showed that vermiculite can dissolve the constant and trace elements needed for plant growth. Furthermore, the addition of vermiculite increased the diversity of microorganisms in the sediments, and promoted the increase of plant growth-promoting bacteria and phosphorus-degrading bacteria. This study could provide a technique reference for the further application of vermiculite in the field of ecological restoration.     

Understanding the risks of mercury sulfide nanoparticles in the environment: Formation, presence, and environmental behaviors

Mercury (Hg) could be microbially methylated to the bioaccumulative neurotoxin methylmercury (MeHg), raising health concerns. Understanding the methylation of various Hg species is thus critical in predicting the MeHg risk. Among the known Hg species, mercury sulfide (HgS) is the largest Hg reservoir in the lithosphere and has long been considered to be highly inert. However, with advances in the analytical methods of nanoparticles, HgS nanoparticles (HgS NPs) have recently been detected in various environmental matrices or organisms. Furthermore, pioneering laboratory studies have reported the high bioavailability of HgS NPs. The formation, presence, and transformation (e.g., methylation) of HgS NPs are intricately related to several environmental factors, especially dissolved organic matter (DOM). The complexity of the behavior of HgS NPs and the heterogeneity of DOM prevent us from comprehensively understanding and predicting the risk of HgS NPs. To reveal the role of HgS NPs in Hg biogeochemical cycling, research needs should focus on the following aspects: the formation pathways, the presence, and the environmental behaviors of HgS NPs impacted by the dominant influential factor of DOM. We thus summarized the latest progress in these aspects and proposed future research priorities, e.g., developing the detection techniques of HgS NPs and probing HgS NPs in various matrices, further exploring the interactions between DOM and HgS NPs. Besides, as most of the previous studies were conducted in laboratories, our current knowledge should be further refreshed through field observations, which would help to gain better insights into predicting the Hg risks in natural environment.     

Development of a method for comprehensive water quality forecasting and its application in Miyun reservoir of Beijing, China

Water quality forecasting is an essential part of water resource management. Spatiotemporal variations of water quality and their inherent constraints make it very complex. This study explored a data-based method for short-term water quality forecasting. Prediction of water quality indicators including dissolved oxygen, chemical oxygen demand by KMnO₄ and ammonia nitrogen using support vector machine was taken as inputs of the particle swarm algorithm based optimal wavelet neural network to forecast the whole status index of water quality. Gubeikou monitoring section of Miyun reservoir in Beijing, China was taken as the study case to examine effectiveness of this approach. The experiment results also revealed that the proposed model has advantages of stability and time reduction in comparison with other data-driven models including traditional BP neural network model, wavelet neural network model and Gradient Boosting Decision Tree model. It can be used as an effective approach to perform short-term comprehensive water quality prediction.     

海岛旅游开发生态影响及保护对策研究

海岛是相对独立的地理单元,生态系统较为脆弱,旅游开发将对海岛带来环境影响.为保护和利用海岛的旅游资源和自然环境,以蜈支洲岛旅游开发为例,采用矩阵法识别海岛开发生态影响因子,建立了水土流失、土壤、沙滩、植被、保护动植物、珊瑚、珊瑚生态、景观等评价指标体系,采用模型预测和类比分析等方法预测、分析和评价旅游开发活动的生态影响,并提出减缓对策,从而避免旅游开发造成岛屿的生态破坏,维护岛屿生态系统的完整性.     

抗高温环保钻井液体系研究

文章选择清洁环保的钻井液处理剂进行抗高温钻井液体系实验研究与评价,对包被增粘剂、降失水剂等进行优选,对抗高温环保钻井液配方进行评价,研究出无毒、无害,抗温能力强、流变性好,失水较低的钻井液体系,现场应用满足高温深井的钻井生产要求。     

Photocatalytic Production of Methane and Hydrogen Through Reduction of Carbon Dioxide with Water Using Titania Pellets

This paper presents an experimental study on employing a pellet form of catalyst in photo-reduction of carbon dioxide with water. Water was first absorbed into titania pellets. Highly purified carbon dioxide gas was then discharged into a reactor containing the wet pellets, which were then illuminated continuously for 65 hours using UVC lamps. Analysing the products accumulated in the reactor confirmed that methane and hydrogen were produced through photo-reduction of carbon dioxide with water. No other hydrocarbons were detected. Increasing the temperature in the reactor has showed little change on the amount of methane produced.     

基于区间数排序的水环境质量评价方法研究

目的：地表水水质随季节性变化较大,为了更准确地评价某地区全年地表水环境质量,尝试将不确定多属性决策方法中的区间数排序法用于水质评价。方法：将地表水环境质量标准值与不同时期的水质监测数据分别定义为区间数,利用区间数比较的可能度公式,得出两者可能度关系并进行排序。排序结果显示,浑河东陵大桥处2006年水质劣于地表水V类标准值的可能度为0．531,即2006年浑河东陵大桥处水质为劣V类。结论：基于区间数排序的地表水环境质量评价方法考虑了全年不同时期的水质变化情况,与模糊综合评判法得出的结果基本一致,可比较准确地评价某地区全年水质状况。     

2种早春植物物候与小气候关系研究

早春植物是植物群落中能高效利用环境资源的独特类群,文章取了3个不同小气候的样方,通过对样方内的2种早春植物物候期的观察记录,分析不同小气候下的温度、湿度、照度对早春植物物候的影响。主成分分析表明．在早春植物的不同生长阶段以不同的气候因子为主要的环境因子,在发芽阶段,湿度为主要影响早春植物发芽早晚的环境因子;植物的展叶、开花和结果阶段,光照和温度为主要影响早春植物的展叶,开花和结果早晚的环境因子。     

Adaptive neuro fuzzy inference system for classification of water quality status

An adaptive neuro fuzzy inference system was used for classifying water quality status of river. It applied several physical and inorganic chemical indicators including dissolved oxygen, chemical oxygen demand, and ammonia-nitrogen. A data set (nine weeks, total 845 observations) was collected from 100 monitoring stations in all major river basins in China and used for training and validating the model. Up to 89.59% of the data could be correctly classified using this model. Such performance was more competitive when compared with artificial neural networks. It is applicable in evaluation and classification of water quality status.     

还有多少事情可以“绿化”?

<正>8月31日,小女升高中了。除了认识了新同学外,孩子又带回了一堆的物品:二三十本新书、五十多本作业本、夏秋两季十件新校服。看着这堆"新品",我不觉又思绪万千,感慨不已……不过9月14日,一则新闻使我半月前的心态产生了一丝"波动"。当天,环境保护部和新闻出版总署签署了《实施绿色印刷战略合作协议》。虽然