草型清水态维持与长效运行的营养盐响应机制——以滇池大型围隔试验为例

为探究湖泊水体生态修复工程中草型清水态维持与长效运行的营养盐响应机制,利用滇池草海建立的大型原位试验围隔,采用非参数突变点分析法（nCPA）及临界指示物种分析法（TITAN）,探究了叶绿素a、浊度、透明度和浮游植物的营养盐阈值.结果表明,草型清水态维持与长效运行较为成功的围隔,其藻类的叶绿素a含量虽然明显较低,但在夏季时蓝藻门仍占绝对优势.原位生态围隔叶绿素a响应TN的阈值为1.423mg/L,响应TP的阈值为0.103mg/L.水体透明度响应TN的阈值为1.684mg/L,响应TP的阈值为0.103mg/L.各围隔总磷含量的平均值均大于或等于0.226mg/L,B1、B3、B8围隔后期处于清水态,其TN平均值都低于或等于1.42mg/L,B5、A1、A2、A3、A4围隔后期处于浊水态,其TN平均值都高于或等于1.78mg/L.这表明在滇池水华重灾区实施水体生态修复工程时,应首要考虑TN的影响,在TP含量严重超出阈值的情况下,如果TN处于一个较低水平,也能维持湖泊水体草型清水态的长效运行,并实现湖泊水体由藻型浊水态向草型清水态的转换.     

基于氨氮,硝氮及乙酸条件下Anammox菌的培养

为探讨Anammox菌在氨氮、硝氮及乙酸条件下的富集特性,采用某城市污水处理厂A²/O系统中的生物填料作为MBBR的载体直接启动并运行.结果表明,在NH₄⁺-N、NO₃^--N及乙酸为基质的培养条件下,Anammox菌可在部分反硝化和厌氧氨氧化协同作用下快速富集.经过130d的富集培养,MBBR处理负荷（以N计）达到920.79mg/（m²·d）,Anammox活性（以NH₄⁺-N计）达到3 018.19mg/（m²·d）.高通量结果显示,经富集培养后,Ca.Brocadia占比从0.89%增至27.80%,为Anammox菌的主导菌属;Thauera占比从0.01%增至6.75%,Flavobacterium占比从0.29%增至11.72%,为部分反硝化菌的主导菌属.     

信号分子对高负荷UASB中ANAMMOX颗粒特性的影响

针对高负荷反应器中ANAMMOX颗粒污泥易上浮流失的问题,进行外源添加酰基高丝氨酸内酯类信号分子（AHLs）对污泥特性的影响研究.结果表明添加30mg/L辛酰基高丝氨酸内酯（C8-HSL）可对颗粒污泥沉降性能产生长期影响,能够有效控制高负荷UASB中ANAMMOX颗粒污泥上浮.仅在实验初期（0~20d）向反应器R2中添加C8-HSL,在实验进行至100d时R2中颗粒污泥B-EPS含量相比对照组R1降低15%,PN/PS值由4.22下降至2.14,同时污泥颗粒表面疏水性提高了26%,因此R2中颗粒污泥的沉降性能大幅提高（颗粒污泥密度增加了24%,沉速提高了90%）.实验进行至100d,R2未发生较明显污泥上浮现象,此时氮容积负荷NLR为12.9kg-TN/（m³·d）,氮容积去除率NRR高达11.3kg-TN/（m³·d）,氮去除率达88%.己酰基高丝氨酸内酯（C6-HSL）可使污泥颗粒的活性有所提高,而十二烷酰基高丝氨酸内酯（C12-HSL）则对高负荷反应器中颗粒污泥的特性没有影响.     

南京市大气PM2.5无机组分及对A549细胞的毒性效应

为研究不同来源的大气颗粒物中PM_2.5对人体的健康毒性效应,于2016年1-3月在南京市交通源区、化工园区、生活区等代表性站点分别采集PM_2.5样品,分析其水溶性离子和金属元素含量,并以PM_2.5对人体肺上皮细胞A549染毒24 h,研究暴露于不同来源颗粒物后的细胞活性和氧化损伤程度.结果表明:交通源区和化工园区日均ρ（PM_2.5）远高于生活区,3个区域均含有大量二次污染物,其中SO₄2-、NO₃-和NH₄+占PM_2.5总离子质量的80.6%~85.0%.交通源区PM_2.5中w（Zn）较高,主要来源于燃料燃烧和柴油发动机排放;而化工园区PM_2.5中w（Cu）、w（Pb）和w（Mn）均高于其他站点.将PM_2.5染毒剂量设定为50、100、200、400 μg/mL,各站点颗粒物均显著抑制A549细胞的存活率,并呈剂量-效应关系,化工园区对细胞存活率的半抑制浓度（IC₅₀=229.1 μg/mL）最低,而在高暴露浓度（200 μg/mL）下化工园区诱导产生的活性氧（ROS）最少.因此,南京地区主要受二次污染影响,机动车污染正在加剧;化工园区的颗粒物具有较大的细胞毒性,而较低的氧化损伤程度可能与该站点颗粒物中较低的w（Zn）以及测试暴露时间有关.      

HRT对CO2-MBfR去除高SO42-废水中NO3--N的影响

针对含NO₃^--N与较高浓度SO₄^2-实际工业废水处理较难的问题,考察了不同水力停留时间（HRT）下连续运行的CO₂-氢基质膜生物膜反应器（CO₂-MBfR）处理模拟废水和实际工业废水的性能,结果表明,2种废水的出水NO₃^--N浓度均随着HRT的减小而增大,模拟废水中NO₃^--N的处理效果和电子通量分配比例均优于实际废水,但其电子通量分配的格局基本不变：NO₃^--N和SO₄^2-的电子通量分别在90.09%~97.49%和2.51%~9.91%左右.要实现实际废水总氮达到15mg/L的排放标准,需维持HRT不少于10.4h.     

A case study of development and application of a streamlined control and response modeling system for PM2.5 attainment assessment in China

This article describes the development and application of a streamlined air control and response modeling system with a novel response surface modeling-linear coupled fitting method and a new module to provide streamlined model data for PM_(2.5) attainment assessment in China.This method is capable of significantly reducing the dimensions required to establish a response surface model,as well as capturing more realistic response of PM_(2.5) to emission changes with a limited number of model simulations.The newly developed module establishes a data link between the system and the Software for Model Attainment Test—Community Edition(SMAT-CE),and has the ability to rapidly provide model responses to emission control scenarios for SMAT-CE using a simple interface.The performance of this streamlined system is demonstrated through a case study of the Yangtze River Delta(YRD) in China.Our results show that this system is capable of reproducing the Community Multi-Scale Air Quality(CMAQ) model simulation results with maximum mean normalized error 3.5%.It is also demonstrated that primary emissions make a major contribution to ambient levels of PM_(2.5) in January and August(e.g.,more than50%contributed by primary emissions in Shanghai),and Shanghai needs to have regional emission control both locally and in its neighboring provinces to meet China's annual PM_(2.5)National Ambient Air Quality Standard.The streamlined system provides a real-time control/response assessment to identify the contributions of major emission sources to ambient PM_(2.5)(and potentially O_3 as well) and streamline air quality data for SMAT-CE to perform attainment assessments.     

Practical Perspectives of 1,4‐Dioxane Investigation and Remediation

1,4‐Dioxane (dioxane) is a contaminant of emerging concern that is classified by the U.S. Environmental Protection Agency as a likely human carcinogen. Dioxane has been used as a minor or major ingredient in many applications, and is also generated as an unwanted by‐product of industrial processes associated with the manufacturing of polyethylene, nonionic surfactants, and many consumer products (cosmetics, laundry detergents, shampoos, etc.). Dioxane is also a known stabilizer of chlorinated solvents, particularly 1,1,1‐trichloroethane, and has been commonly found comingled with chlorinated solvent plumes. Dioxane plumes at chlorinated solvent sites can complicate site closure strategies, which to date have not typically focused on dioxane. Aggressive treatment technologies have greatly advanced and are clearly capable of achieving lower parts per billion cleanup criteria using ex situ advanced oxidation processes and sorption media. In situ chemical oxidation has also been demonstrated to effectively remediate dioxane and chlorinated solvents. Other in situ remedies, such as enhanced bioremediation, phytoremediation, and monitored natural attenuation, have been studied; however, their ability to achieve cleanup levels is still somewhat questionable and is limited by co‐occurring contaminants. This article summarizes and provides practical perspectives on dioxane analysis, plume stability relative to other contaminants, and the development of investigation tools and treatment technologies.     

混合多目标遗传算法求解地下水污染修复管理模型

为了提高多目标遗传算法Pareto解的局部最优性,本文将快速非支配遗传算法(NSGAII)与一种迭代式的局部搜索算法(Hill Climber with Step,HCS)相结合,开发了一种新的混合多目标遗传算法NSGAII-HCS.利用CONV1和ZDT6两个经典的多目标优化函数对NSGAII-HCS的性能进行测试,与传统的多目标算法NSGAII相比,CONV1得到的Pareto锋面与真实Pareto最优解锋面的平均距离由5.49减小到1.74,ZDT6则由0.16减小到0,表明NSGAII-HCS在保证解多样性的前提下,能使解接近或收敛到真实的Pareto最优解锋面.最后,将NSGAII-HCS与地下水流模拟软件MODFLOW和溶质运移模拟软件MT3DMS相耦合,并应用到一个理想的二维地下水污染修复管理模型中,结果分析表明该方法可为地下水污染治理提供多样的和收敛的Pareto管理策略,是一种稳定可靠的多目标优化方法.     

New insight into adsorption characteristics and mechanisms of the biosorbent from waste activated sludge for heavy metals

The adsorption characteristics and mechanisms of the biosorbent from waste activated sludge were investigated by adsorbing Pb2+and Zn2+in aqueous single-metal solutions. A p H value of the metal solutions at 6.0 was beneficial to the high adsorption quantity of the biosorbent. The optimal mass ratio of the biosorbent to metal ions was found to be 2. A higher adsorption quantity of the biosorbent was achieved by keeping the reaction temperature below 55°C. Response surface methodology was applied to optimize the biosorption processes, and the developed mathematical equations showed high determination coefficients(above 0.99 for both metal ions) and insignificant lack of fit(p = 0.0838 and 0.0782 for Pb2+and Zn2+, respectively). Atomic force microscopy analyses suggested that the metal elements were adsorbed onto the biosorbent surface via electrostatic interaction. X-ray photoelectron spectroscopy analyses indicated the presence of complexation(between –NH2,-CN and metal ions) and ion-exchange(between –COOH and metal ions). The adsorption mechanisms could be the combined action of electrostatic interaction, complexation and ion-exchange between functional groups and metal ions.