生物滤池对气相与液相中污染物质的净化

通过实验室研究探讨了生物滤池同时处理废水和废气的可行性。试验结果表明：在２５℃－３７℃条件下,甲苯废气的流量为９０Ｌ／ｈ,甲苯浓度为５００ｍｇ／ｍ＾３;废水的流量为０．４Ｌ／ｈ,ＣＯＤｃｒ浓度为４００－７５０ｍｇ／Ｌ,甲苯与ＣＯＤｃｒ的去除率分别是７０％－７２％和８６％－８９％。     

河流型饮用水水源保护区划分比较

比较分析了国内外河流型水源保护区划分的原则、方法和标准,例证了我国不同省份的划分实践。指出,我国各省多采用经验值划分水源保护区范围,部分省份划分方案久未更新,没有充分发挥保护区的作用。提出,应进一步细化水源保护区划分规范指导要求,及时修订省级水源保护区划分方案,并借鉴国外水源保护区划分经验,通过调整水质标准、重视公众参与、利用地理信息系统等方式划分水源保护区,从源头上预防水源污染,降低饮用水公共风险,保障饮用水安全。     

羟胺强化Fenton反应降解水中氯酚

针对传统Fenton体系Fe（Ⅲ）累积和pH适用范围过窄等缺点,采用羟胺（HA）强化的HA-Fenton体系,以对氯苯酚（4-CP）为目标污染物进行降解实验,考察了Fe（Ⅱ）投加量、H2O2投加量、HA投加量和溶液pH等工艺条件对4-CP去除率的影响。实验结果表明：HA-Fenton体系适用于酸性和弱酸性条件,最佳pH范围为3.0~4.0;在溶液pH为3.0、Fe（Ⅱ）投加量为5.0 μmol/L、H2O2投加量为0.4 mmol/L、HA投加量为0.20 mmol/L的最适条件下,反应10 min, 4-CP去除率达64.25 %。     

Deep learning architecture for air quality predictions

With the rapid development of urbanization and industrialization, many developing countries are suffering from heavy air pollution. Governments and citizens have expressed increasing concern regarding air pollution because it affects human health and sustainable development worldwide. Current air quality prediction methods mainly use shallow models; however, these methods produce unsatisfactory results, which inspired us to investigate methods of predicting air quality based on deep architecture models. In this paper, a novel spatiotemporal deep learning (STDL)-based air quality prediction method that inherently considers spatial and temporal correlations is proposed. A stacked autoencoder (SAE) model is used to extract inherent air quality features, and it is trained in a greedy layer-wise manner. Compared with traditional time series prediction models, our model can predict the air quality of all stations simultaneously and shows the temporal stability in all seasons. Moreover, a comparison with the spatiotemporal artificial neural network (STANN), auto regression moving average (ARMA), and support vector regression (SVR) models demonstrates that the proposed method of performing air quality predictions has a superior performance.     

贵州省三岔河流域水化学特征及其控制因素

对乌江源区三岔河流域枯水期和丰水期河水样品离子浓度及组成特征分析表明,河水主要的阴阳离子分别是HCO_3~–和Ca~(2+),分别占到总阴离子量的55%和总阳离子量的70%,与喀斯特地区流域相似。主要离子的时空分布的对比分析表明,Ca~(2+)、Mg~(2+)、Na~+、HCO_3~–、Cl~–枯水期浓度略高于丰水期,而K+、SO_4~(2–)、NO_3~–两期浓度变化相对较小;空间分布的多样化,反映了不同小流域在地质背景、生态环境、人为活动等方面的差异对河水离子的影响。通过Gibbs图分析表明,研究区河水水化学主要受到岩石风化的影响,通过阴阳离子三角图分析表明,研究区河水水化学主要受到碳酸岩盐的影响,并且硫酸广泛参与到岩石风化中,人为活动对流域水化学组成也有一定影响。     

Toxicity of sediment cores from Yangtze River estuary to zebrafish (<Emphasis Type="Italic">Danio rerio</Emphasis>) embryos

Toxicity evaluation is an important segment in sediment quality monitoring in order to protect aquatic organisms and human health. The purpose of this study is to assess the toxicity of sediments from three sediment cores in Yangtze River Estuary, China, using the zebrafish (Danio rerio) embryo tests. Fertilized zebrafish eggs were exposed to both whole sediments and sediment organic extracts prepared from collected sediments, in order to provide a comprehensive and realistic insight into the bioavailable toxicity potential of the sediments. As end points, development parameters (mortality, hatching rate, and abnormality) in the developing embryos were recorded during the 96-h exposure. The results showed that some samples increased mortality, inhibited the hatching of embryos, and induced morphological abnormalities. The embryonic toxicities presented serrated changes and irregular distribution with depth, which may be related to hydrodynamic effect and unstable environmental input. However, lethal and sub-lethal effects were more significant at the sub-surface sediments (10～40 cm), which indicated that the pollution is more serious in recent decades.     

巢湖低温高效聚磷菌的筛选及其特性

采用低温富集培养及混合平板分离技术,从巢湖底泥中分离筛选得到2株在低温下仍具有较高效能的菌株D3、D6,经过厌氧/好氧交替培养,2种菌株在低温下(8℃)的除磷率均达到80%以上。在低温下,研究了p H、微量元素对2株菌株生长及除磷率的影响,实验结果表明,2株菌都具有广泛的温度适应性,适宜其生长和除磷的p H为中性偏碱,微量元素的缺乏对2株菌株的生长和除磷效果有不同程度的不良影响。染色观察显示,厌氧培养时菌体内聚羟基丁酸(PHB)颗粒明显增多,转为好氧培养后异染颗粒增多,为典型的聚磷菌特征。经鉴定,2株菌均属假单胞菌属。     

响应面法优化黄粉虫幼虫处理餐厨垃圾饲养条件的研究

研究了黄粉虫幼虫处理餐厨垃圾的方法.首先在饲养温度、饲料含水量和饲养密度等条件下进行单因素实验,然后,以利用率为指标,运用响应面法优化了黄粉虫幼虫处理餐厨垃圾的饲养条件,结果表明,最佳饲养条件为饲养温度26.7℃、饲料含水量14.5％、饲养密度4.1头/cm2.在此饲养条件下,黄粉虫对餐厨垃圾利用率理论值为38.72％,实际餐厨垃圾利用率为38.88％,相对误差为0.41％,说明利用黄粉虫幼虫处理餐厨垃圾具有较好的效果.