金属波纹填料在废油处理中应用的研究

文章主要对其结构特征进行剖析,并对波纹板在油液处理过程中的作用原理进行分析。通过两种油水分离材料进行真空脱水试验,真空脱水第一次循环中,金属波纹板的脱水率为79.12%,较传统折叠丝网脱水率高21%,证明金属波纹填料对废油真空脱水有良好的效果。最后通过两种不同规格的金属波纹板填料进行真空脱水试验,证明比表面积较大的350Y波纹板填料在废油脱水中并不优于比表面积较小的250Y金属波纹板填料。     

南京江北酸雨分布特征及其与气象条件的关系

通过对南京江北区降水酸性及成分进行了全面系统的测定和分析,发现南京江北酸雨大大重于市区,并具有秋高春低,雨水离子浓度高,电导值大,强酸度与高发率同时出现等明显分布特征。气象条件影响主要表现为:大气降水量、气温和相对湿度与酸雨pH和电导值呈反相关,与酸雨频率呈正相关;大气压强与酸雨pH和电导值呈正相关,与酸雨频率呈反相关;风向风速对酸性污染物输送具有明显的引导作用;冬春季节沙尘和灰霾天气入侵对酸雨具有减缓效应。     

珠江口地区表层水中氯酚化合物污染研究

采用固相微萃取、气-质联用方法,测定分析了珠江口、横门水道及鱼塘表层水中氯酚(CPs)的污染特征。结果显示:USEPA优先控制的四种CPs类化合物在珠江口地区水体中检出率达到98.75%,不同水体氯酚污染程度由高到低的顺序为横门水道>珠江口>鱼塘。参照有关标准,珠江口地区CPs残留水平对环境及人类生活产生危害的风险可能性较低。多元回归分析表明,铁、锰总含量与总CPs和PCP含量存在显著负相关。     

羧甲基壳聚糖絮凝剂的研制及其应用研究

用氯乙酸对壳聚糖进行化学改性,制备了羧甲基壳聚糖(CMC),探讨了原料用量、反应温度及反应时间等因素对羧甲基取代度(羧化度DS)的影响,并用红外光谱(IR)对其结构进行了表征。海水的絮凝实验结果表明羧甲基壳聚糖能有效去除海水的浊度和化学需氧量(COD),最佳条件下浊度去除率可达到95%,COD去除率为55%左右。羧甲基壳聚糖在海水的絮凝处理中有良好的应用前景。     

生物修复技术在白海面黑臭河涌治理中的应用

利用人工曝气、水体生物修复和河道生态恢复等技术,对广州市白海面黑臭水体进行治理。结果表明,在污水进水流量3000～4000m^3／d的条件下,通过生物治理,消除了水体黑臭现象,从上游到下游,水色由暗黄逐步转为黄、黄绿;在上游不断流入污水情况下,CODcr除去率达55％以上,NH3-N除去率为35％,TP除去率达25％以上。本研究为城市黑臭河道,特别是暂时无法截污的城郊河道的治理和养护提供了一套切实可行的方法。     

静脉产业类生态工业园区的建设方法分析

静脉产业类生态工业园区运用先进的技术,将生产和消费过程中产生的废物资源化,是中国循环经济建设的重点领域之一。但是中国现有的静脉产业类生态工业园区尚处于创建阶段,没有形成规模化发展,因此可以在建设过程中借鉴日本、德国等发达国家的成功经验,探索适合中国国情的建设模式。本文通过分析静脉产业类生态工业因区在生产原料、生产过程和产品销售方面的主要影响因素以及其他国家采取的相应措施,为中国静脉产业类生态工业园区的建设提出建议。     

Drivers and barriers to engage enterprises in environmental management initiatives in Suzhou Industrial Park, China

Small- and medium-sized enterprises (SMEs) play an important role in sustainable development not only for their significant contribution to China’s economy, but also for their large share of total discharged pollutants. Therefore, this research takes the enterprises in Suzhou Industrial Park, China as the case study to investigate the environmental management practices of SMEs, and identify drivers and barriers to engaging businesses in environmental management initiatives. It is shown that, as in other countries, SMEs are less active in adopting environmental management initiatives than larger companies. Legislation remains the key driver to engage SMEs in environmental management initiatives. Based on the analysis, policy recommendations are also presented.     

Selective sorption of perfluorooctane sulfonate on molecularly imprinted polymer adsorbents

Perfluorooctane sulfonate (PFOS), as a potential persistent organic pollutant, has been widely detected in water environments, and has become a great concern in recent years. PFOS is very stable and difficult to decompose using conventional techniques. Sorption may be an attractive method to remove it from water. In this study, the molecularly imprinted polymer (MIP) adsorbents were prepared through the polymerization of 4-vinylpyridine under different preparation conditions in order to remove perfluorooctane sulfonate (PFOS) from water. The MIP adsorbents using perfluorooctanoic acid (PFOA) as the template had good imprinting effects and could selectively remove PFOS from aqueous solution. The sorption behaviors including sorption kinetics, isotherms, and effect of pH, salt, and competitive anions were investigated. Experimental results showed that the sorption of PFOS on the MIP adsorbents was very fast, pH-dependent, and highly selective. The achieved fast sorption equilibrium within 1 h was attributed to the surface sorption on the fine adsorbents. The sorption isotherms showed that the sorption selectivity of PFOS on the MIP adsorbents decreased at high PFOS concentrations, which may be due to the double-layer sorption and the formation of PFOS micelles on the sorbent surface. The sorption of PFOS on the MIP adsorbents was mainly dominated by the electrostatic interaction between the protonated vinylpyridine on the adsorbent surface and the anionic PFOS. The prepared MIP adsorbents can potentially be applied in water and wastewater treatment for selective removal of PFOS.     

基于Matlab的BP神经网络在大气污染物浓度预测中的应用

为了寻求有效控制和改善环境质量的相应措施,选用了英国伦敦Bloomsbury监测站的PM10小时平均浓度监测资料,采用“提前终止法”泛化改进的BP神经网络模型,预测PM1024 h内的小时平均浓度。结果表明：采用BP神经网络法对大气污染物浓度进行预测,预测相对误差在2%-48%之间,且绝大部分在2%-17%之间,预测精度较高,泛化能力较好,为大气污染物浓度预测提供了一种全新的思路和方法。     

低频环境噪声对思维判断能力的干扰影响

选取了3种典型的城市居住区设备低频噪声实样和声学仪器产生的白噪声,使用剂量作业法,分别测定了播放噪声和无噪声干扰2种环境下,被试者的思维能力指数(AYP)和错误率.研究结果显示,在噪声干扰的条件下,多数被试者的AYP较无噪声干扰时有所下降,错误率上升,二者差异显著.多数被试人员在3种噪声实样对比组中的平均AYP和错误率变化较白噪声的对比组中较明显,其中AYP差异达显著水平.由此认为低频成份是影响思维能力的主要频率成份.配对t检验和对实录样本的频谱分析结果表明,室外空调机噪声样本的影响程度最大,表明峰值频率在50～300 Hz频率段的低频环境噪声比其他噪声负面影响更大.