Could wastewater analysis be a useful tool for China? — A review

Analysingwastewater samples is an innovative approach that overcomesmany limitations of traditional surveys to identify and measure a range of chemicals that were consumed by or exposed to people living in a sewer catchment area. First conceptualised in 2001, much progress has been made to make wastewater analysis (WWA) a reliable and robust tool for measuring chemical consumption and/or exposure. At the moment, the most popular application of WWA, sometimes referred as sewage epidemiology, is to monitor the consumption of illicit drugs in communities around the globe, including China. The approach has been largely adopted by lawenforcement agencies as a device tomonitor the temporal and geographical patterns of drug consumption. In the future, themethodology can be extended to other chemicals including biomarkers of population health (e.g. environmental or oxidative stress biomarkers, lifestyle indicators or medications that are taken by different demographic groups) and pollutants that people are exposed to (e.g. polycyclic aromatic hydrocarbons, perfluorinated chemicals, and toxic pesticides). The extension of WWA to a huge range of chemicals may give rise to a field called sewage chemical-information mining (SCIM) with unexplored potentials. China has many densely populated cities with thousands of sewage treatment plants which are favourable for applying WWA/SCIM in order to help relevant authorities gather information about illicit drug consumption and population health status. However, there are some prerequisites and uncertainties of the methodology that should be addressed for SCIM to reach its full potential in China.     

A 1-dodecanethiol-based phase transfer protocol for the highly efficient extraction of noble metal ions from aqueous phase

A 1-dodecanethiol-based phase-transfer protocol is developed for the extraction of noble metal ions from aqueous solution to a hydrocarbon phase, which calls for first mixing the aqueous metal ion solution with an ethanolic solution of 1-dodecanethiol, and then extracting the coordination compounds formed between noble metal ions and 1-dodecanethiol into a non-polar organic solvent. A number of characterization techniques, including inductively coupled plasma atomic emission spectroscopy, Fourier transform infrared spectroscopy, and thermogravimetric analysis demonstrate that this protocol could be applied to extract a wide variety of noble metal ions from water to dichloromethane with an efficiency of >96%, and has high selectivity for the separation of the noble metal ions from other transition metals. It is therefore an attractive alternative for the extraction of noble metals from water, soil, or waste printed circuit boards.     

Formation and speciation of disinfection byproducts during chlor(am)ination of aquarium seawater

The chemistry associated with the disinfection of aquarium seawater is more complicated than that of freshwater, therefore limited information is available on the formation and speciation of disinfection byproducts(DBPs) in marine aquaria. In this study, the effects of organic precursors, bromide(Br-) and pre-ozonation on the formation and speciation of several typical classes of DBPs, including trihalomethanes(THM4), haloacetic acids(HAAs),iodinated trihalomethanes(I-THMs), and haloacetamides(HAc Ams), were investigated during the chlorination/chloramination of aquarium seawater. Results indicate that with an increase in dissolved organic carbon concentration from 4.5 to 9.4 mg/L, the concentrations of THM4 and HAAs increased by 3.2–7.8 times under chlorination and by 1.1–2.3 times under chloramination. An increase in Br-concentration from 3 to 68 mg/L generally enhanced the formation of THM4, I-THMs and HAc Ams and increased the bromine substitution factors of all studied DBPs as well, whereas it impacted insignificantly on the yield of HAAs. Pre-ozonation with 1 mg/L O3 dose substantially reduced the formation of all studied DBPs in the subsequent chlorination and I-THMs in the subsequent chloramination. Because chloramination produces much lower amounts of DBPs than chlorination, it tends to be more suitable for disinfection of aquarium seawater.     

Water chemistry controlled aggregation and photo-transformation of silver nanoparticles in environmental waters

The inevitable release of engineered silver nanoparticles (AgNPs) into aquatic environments has drawn great concerns about its environmental toxicity and safety. Although aggregation and transformation play crucial roles in the transport and toxicity of AgNPs, how the water chemistry of environmental waters influences the aggregation and transformation of engineered AgNPs is still not well understood. In this study, the aggregation of polyvinylpyrrolidone (PVP) coated AgNPs was investigated in eight typical environmental water samples (with different ionic strengths, hardness, and dissolved organic matter (DOM) concentrations) by using UV–visible spectroscopy and dynamic light scattering. Raman spectroscopy was applied to probe the interaction of DOM with the surface of AgNPs. Further, the photo-transformation and morphology changes of AgNPs in environmental waters were studied by UV–visible spectroscopy, inductively coupled plasma mass spectrometry, and transmission electron microscopy. The results suggested that both electrolytes (especially Ca^2 + and Mg^2 +) and DOM in the surface waters are key parameters for AgNP aggregation, and sunlight could accelerate the morphology change, aggregation, and further sedimentation of AgNPs. This water chemistry controlled aggregation and photo-transformation should have significant environmental impacts on the transport and toxicity of AgNPs in the aquatic environments.     

闸控河段水质浓度影响关键因子识别

由于闸门调度对河道内的水环境要素具有强烈的扰动作用,故闸控河段的水质变化过程较常规河道更为复杂。为了探析引起闸控河段水质浓度变化的主要制约因素,以槐店闸为研究对象,结合笔者进行的2次实验和其他时期的监测数据,通过偏相关分析和主成分分析的方法识别影响闸控河段水质浓度变化的关键因子,并利用多元线性回归方法分析得到闸控河段水质浓度变化与其关键因子的多元线性回归方程。经过分析初步得到,与高锰酸盐指数浓度变化率有关的关键因子为闸门开度、开启个数、高锰酸盐指数来水浓度、溶解氧含量、流速和水深;与氨氮浓度变化率有关的关键因子为闸门开度、开启个数、氨氮来水浓度、溶解氧含量和p H值。     

推进养殖污染防治,实现产业优化与环境保护双赢——对《水污染防治行动计划》的解读

针对《水污染防治行动计划》提出的畜禽养殖污染治理思路和措施,梳理了我国现阶段畜禽养殖污染防治中存在的问题,对《水污染防治行动计划》中提出的"调布局、建设施、促利用"三大举措进行了分析和解读,提出了落实《水污染防治行动计划》的几项重点工作,为地方推进畜禽养殖污染防治工作提供参考。     

蒸发-固化法处理垃圾渗滤液反渗透浓缩液的研究

采用蒸发-固化工艺处理垃圾渗滤液反渗透浓缩液。蒸发工艺可将反渗透浓缩液减量化,固化工艺可将蒸发残留液中的污染物稳定化。研究表明,蒸发残留液宜采用水泥和石灰混合料进行固化,混合料最佳水泥与石灰质量比约为1︰2,每100 mL蒸发残留液(质量约为120 g)最佳投加量为50 g。固化体含水率低于40%,抗压强度高于1.0 MPa,适合填埋处置,其浸出液污染物含量较低。采用硅酸钠和硫酸钙作为添加剂可加快固化速度,提高固化体的抗压强度。利用蒸发-固化工艺处理反渗透浓缩液可取得良好的经济和社会效益。     

实施跨界水环境补偿的探讨——对《水污染防治行动计划》中“实施跨界水环境补偿”的解读

针对《水污染防治行动计划》提出"实施跨界水环境补偿"的要求,文章总结分析了国内外已开展的水环境补偿实践情况,表明实施水环境补偿对跨界水质改善具有较好作用;从宏观层面分析了在我国推广跨界水环境补偿面临的主要困境与问题,并从政策、资金等方面提出了相关建议,为下阶段我国推广实施跨界水环境补偿提供参考。     

水稻秸秆经漆酶预处理后产沼气研究

利用秸秆产沼气是秸秆无害化处理解决环境污染问题的可行手段.本研究针对秸秆特殊结构而导致产沼气少、启动慢、利用率低等问题,采用自培养漆酶预处理水稻秸秆,提高了秸秆产气率及利用率.通过研究发现,当漆酶添加量为40 mL、发酵温度为35℃、预处理7d的条件下,秸秆的产气量最高;同时发现,金属离子的添加对沼气产量有很大影响,其中Cu2添加后产气量提高最多.另外,研究发现预处理天数为24 d的秸秆木质素纤维素降解率最高.     

BP 神经网络模型在环境气象灾害预测中的应用研究--以湖南省为例

依据环境气象数据与自然灾害统计数据,建立BP神经网络模型,对湖南主要气象灾害（洪灾、旱灾、冰冻灾）及受灾经济损失进行实例预测,将在MATLAB7软件中的仿真结果与传统的多元线性回归模型分析结果进行比较和误差分析。结果表明,BP神经网络模型在洪灾、旱灾受灾率方面的预测效果和精度优于多元回归模型,而由于冰灾训练样本不足及经济损失与输入因子的线性相关程度高,在冰灾与受灾经济损失率方面稍逊于多元回归模型。