重金属环境标准样品发展现状及对策建议

对照国家《重金属污染综合防治“十二五”规划》和重金属有关的环境标准实施需求,从配套环境标准样品的角度,对现有重金属环境标准样品发展现状和存在的问题进行全面总结和梳理,并在深层次分析存在问题原因的基础上,对环境标准样品事业发展提出有关对策和建议。     

气水比对A/O-BF处理低碳氮比农村生活污水脱氮的影响

为揭示好氧段气水比对缺氧/好氧生物滤池（Anoxic/Oxic Biofilter,A/O-BF）脱氮的影响机理,采用A/O-BF处理低碳氮比农村生活污水,结合实时荧光定量聚合酶链式反应技术,对比研究了好氧段气水比为4：1、2：1和1：1时A/O-BF的脱氮效能和微生物群落变化特征.结果表明：当气水比为4：1时,A/O-BF的氨氮（NH₄⁺-N）和总氮（TN）平均去除率分别为99.0%和75.9%;当气水比降至2：1时,NH₄⁺-N的平均去除率（99.5%）基本维持不变,而TN去除率有所提高（79.5%）;当气水比再降至1：1时,两者的平均去除率分别下降至92.0%和71.7%.气水比由4：1降至2：1时,好氧段中硝化菌脱氮功能基因amoA和Nitrospira 16S rDNA的拷贝数并无明显变化,为同一数量级,但缺氧段中4个反硝化菌脱氮功能基因（narG、nosZ、nirS和nirK）拷贝数却明显升高0~1个数量级;当气水比由2：1降至1：1时,好氧段中两个硝化菌脱氮功能基因拷贝数均下降1个数量级,但缺氧段中反硝化菌脱氮功能基因拷贝数无明显变化,除narG基因外均处于同一数量级.综上所述,2：1为A/O-BF处理低碳氮比农村生活污水脱氮的最佳气水比.     

猪场土壤中5种四环素抗性基因的检测和定量（Quantification of Five Tetracycline Resistance Genes in Soil from a Swine Feedlot）

近年来由于四环素在畜禽养殖业中的大量使用,诱导了环境中四环素抗性微生物的产生,然而有关四环素抗性基因在土壤中存在、迁移和扩散的研究目前还很少.论文提取了北京一规模化养猪场周边土壤的微生物DNA,利用普通PCR检测到5种四环素抗性基因(tet(B/P)、tet(M)、tet(O)、tet(T)、tet(W)),这5种基因都属于编码核糖体保护蛋白的一类.进一步建立了定量PCR程序对这5种基因进行了定量.结果显示,除tet(T)和tet(M)含量接近外(p=0.367),其余几种基因含量之间均差异显著(p<0.05),其中tet(W)的含量最高((2.16±0.20)×108copies·g-1(干土)),比含量最低的tet(B/P)((2.89±0.54)×106copies·g-(1干土))高出约两个数量级.抗性基因tet(W)、tet(T)、tet(M)、tet(O)含量均较高,为猪场土壤中优势抗性基因.这些基因曾被报道广泛存在于猪和牛的肠道中,显示抗性基因很可能是通过基因横向转移(HGT)等机制从养殖动物体内传播到周围土壤中土著微生物体内的.论文所建立的实验方法为进一步系统研究抗生素抗性基因在土壤中的环境行为及其生态风险提供了基础.     

基于事故数据分析推导的全国及化工行业可接受风险标准基准值研究

为了探索行业风险可接受现状,印证已颁布的可接受风险标准中标准基准值选取的可行性,基于可接受风险标准理论,通过搜集、分析及估算全国及化工行业最近10 a的基础事故数据,采用平均个人风险值法（AIR）和事故累计概率-死亡人数曲线（FN曲线）法的运算思想,确定了全国及化工行业的死亡、受伤及职业病风险个人/社会可接受标准基准值,并通过数据范围的选择将其分为宽松型、通用型及严格型3种不同“严格”程度的基准值以备不同条件下选用。研究结果表明:死亡标准基准值通过与已颁布的标准基准值进行对比后发现2者均处于同一量级（10-4）,印证了彼此的可行性,受伤及职业病标准基准值可为后期该领域的研究提供参考。     

人工生态系统对城市河流中抗生素和ARGs的去除

通过室内模拟河道系统,以阿奇霉素（AZM）、磺胺甲唑（SMZ）、环丙沙星（CIP）和四环素（TCY）这4种抗生素和抗性基因（ARGs）：磺胺类（sul1和sul2）、四环素类（tetX和tetM）、喹诺酮类（qnrS和qnrD）、大环内酯类（ermB）和16S rDNA为目标物,研究2种挺水植物和铜绿微囊藻组合（菖蒲+灯芯草、藻+灯芯草、藻+菖蒲和藻+菖蒲+灯芯草）的人工生态系统不同介质（水相、泥相和植物）中抗生素的变化特性、对常规污染物（COD、NH₄⁺-N、TP和TN）的去除效果以及在水相和泥相中ARGs的分布和去除效果.并通过物料衡算计算目标物的实际去除率,以及分析水相和泥相中ARGs丰度与环境因子之间的相关性.结果表明,所形成的人工生态系统对COD、NH₄⁺-N、TP和TN去除率范围分别为60.2%~74.8%、63.4%~77.4%、64.0%~73.2%和46.8%~54.8%;对水相中抗生素有明显的去除效果,藻+菖蒲+灯芯草组合的人工生态系统对4种抗生素去除率最好;对泥相中抗生素去除率依次为TCY > CIP > AZM > SMZ,其中藻+菖蒲+灯芯草组合对TCY去除率达到53.5%;对抗生素的实际总去除率大小依次为藻+菖蒲+灯芯草 > 藻+灯芯草 > 藻+菖蒲 > 菖蒲+灯芯草.4类ARGs去除效果较明显,水相中的去除率要高于泥相;ARGs与常规污染物以及抗生素之间存在不同的相关性,其中水相中tetX与环境因子、泥相中AZM与之对应ARGs的相关性不显著,说明ARGs既可以在对应抗生素压力下选择,也可以在其他类型环境压力下选择,抗生素含量并不是直接影响ARGs的传播.本研究表明挺水植物和铜绿微囊藻组合的人工生态系统可作为净化水质和改善城市河流中抗生素环境风险的有效手段.     

螺旋霉素废水处理过程中菌群结构、水质特征及抗性基因之间关系分析

抗生素制药废水常含有大量抗生素抗性基因（antibiotic resistance genes,ARG）,传播抗性污染的风险高于城市污水,但目前人们对抗生素制药废水处理过程中ARG转归影响机制研究尚有不足.本研究采用高通量测序考察某螺旋霉素制药废水厂A²O工艺过程中菌群结构变化,并通过多种统计学分析方法考察菌群结构、水质特征及ARG之间的相互关系.结果表明,生物处理单元中污泥的菌群结构受进水水质影响较小,其中厌氧和缺氧池中均以产甲烷菌与硫酸盐还原菌为优势菌,好氧池和二沉池中优势菌群的功能较为复杂;A²O系统对常规污染物去除效果较好,但不能稳定削减潜在致病菌丰度.水质特征、菌群结构和ARG之间存在显著相互影响关系,其中废水处理过程中生物量、NH₄⁺-N和化学需氧量（chemical oxygen demand,COD）与ARG和可移动遗传元件（mobile genetic elements,MGE）的分布密切相关.在水相和泥相中对ARG和MGE产生显著影响的菌属不同,而且泥相中有更多的潜在致病菌与ARG显著相关性,即污泥中微生物同时获得耐药性和致病性的可能性比水相中高.本研究可为今后抗生素制药废水处理过程的抗性污染控制提供科学参考.     

环境中抗生素抗性基因丰度与抗生素和重金属含量的相关性分析:基于Web of Science数据库检索

抗生素和重金属是两种重要的环境污染物和耐药性选择压力源,但低含量水平下其对环境微生物种群耐药性水平的影响尚不明确.本文全面检索了截至2020年1月1日发表在Web of Science数据库中同时监测了抗生素抗性基因（ARGs）丰度、抗生素含量或重金属含量的研究文献,提取相关数据,利用统计回归方法调查环境介质中3个参数的相关关系.结果表明,除废水外,地表水、沉积物和土壤等环境介质中,即使在非常低的抗生素含量水平下,抗生素选择压力也会对ARGs丰度的增加产生显著的统计效应（P<0.05）.不同类别抗生素对耐药基因表现出不同程度的选择和富集作用.重金属含量以及抗生素含量和重金属含量的交互作用对ARGs的传播也具有显著影响（P<0.05）.水相和固相环境样本的多变量统计回归模型的最终R²分别为0.482和0.707,比单变量回归的R²更高,能更好地解释ARGs丰度的差异,但环境中还存在其他可能影响ARGs丰度的因素.本文的研究结果可为环境中抗生素耐药性风险评估及传播控制提供支撑.     

A methodological framework for integrating computational fluid dynamics and ecological models applied to juvenile freshwater mussel dispersal in the Upper Mississippi River

Interdisciplinary research in hydraulics and ecology for river management and restoration must integrate processes that occur over a wide range of spatial and temporal scales, which presents a challenge to ecohydraulics modelers. Computational fluid dynamics (CFD) models are being more widely used to determine flow fields for ecohydraulics applications. In the Upper Mississippi River (UMR), the mussel dynamics model was developed as a tool for management and conservation of freshwater mussels (Unionidae), which are benthic organisms, imperiled in North America, that are inextricably linked with the hydraulics of river flow. We updated the juvenile dispersal component of the mussel dynamics model by using stochastic Lagrangian particle tracking in a three dimensional flow field output from CFD models of reaches in the UMR. We developed a methodological framework to integrate hydrodynamic data with the mussel dynamics model, and we demonstrate the use of the juvenile dispersal model employed within the methodological framework in two reaches of the UMR. The method was used to test the hypothesis that impoundment affects the relationship of some hydraulic parameters with juvenile settling distribution. Simulation results were consistent with this hypothesis, and the relationships of bed shear stress and Froude number with juvenile settling were altered by impoundment most likely through effects on local hydraulics. The methodological framework is robust, integrates Eulerian and Lagrangian reference frameworks, and incorporates processes over a wide range of temporal and spatial scales, from watershed scale hydrologic processes (decades), to reach scale (km) processes that occur over hours or days, and turbulent processes on spatial scales of meter to millimeter and times scales of seconds. The methods are presently being used to assess the impacts of pre- and early post-settlement processes on mussel distributions, including the effects of bed shear stress, and the sensitivity of the location of the host fish when juveniles excyst, on juvenile settling distribution.     

Establishment of Markov successional model and its application for forest restoration reference in Southern China

Forest succession is the base of establishing restoration reference which plays an important role in forest restoration and restoration estimation. The study presented the establishment of a Markov successional model (MSM) and its application to restoration reference in lower subtropical forest in China. The compositions of successional system in MSM were divided into three species types: pioneering pine trees, heliophytic trees and mesophytic trees. The successional system was divided into three subsystems: early successional stage, mid-successional stage and late-successional stage. Based on the site survey on the changes in the species and their individuals in 25 years, the transition matrices in various subsystems were determined. The predicted results were used to establish the restoration reference of the vegetation restoration in lower subtropical China. According to the ecological restoration reference established in this study, it would take 150 years for the forest to change from pioneer to mature communities in the region. Successional change of tree composition was forecast by the model, and the scenario forecast by the model reflects the actual conditions observed through 52 years of long-term permanent site research. The restoration experience in the region matches the forecast results. The application of a restoration reference model indicates that forest restoration can be accelerated by taking measures which change forest structure. The above results imply that a restoration reference established on the rule of regional forest succession could be very useful not only in directing, but also in assessing and managing regional forest restoration. Previously, one “ideal reference ecosystem” was used as a restoration reference in all correlative studies. In this study, the restoration “process” was used as the restoration reference.     

湖泊营养物参照状态建立方法研究

建立生态分区内各类型湖泊营养物的参照状态是营养物基准制定过程中最为核心的内容之一。在系统分析和评价国外确定湖泊营养物参照状态的若干种方法,包括参照湖泊法、湖泊群体分布法、三分法、回归分析等几种统计学方法以及模型推断和古湖沼学重建方法后,文章根据总磷（total phosphorus,TP）、总氮（total nitrogen,TN）、叶绿素a（chlorophyll a,Chl-a）和塞氏透明度（Secci depth）等四项指标的历史监测数据,应用若干统计学方法建立了巢湖的营养物基准参照状态。通过互相之间的比较分析以及长江中下游湖区古湖沼学重建数据的验证,推荐采用湖泊群体分布法5％点位对应的值作为巢湖营养物基准的参照状态。因此,巢湖营养物参照状态阈值范围为总磷0．023～0．27mg·L^-1,总氮O．62～0．63mg·L^-1,叶绿素aO．65～0．67mg·m^-1,塞氏透明度0．65-0．72m。