Effect of TiO2 nanoparticle aggregation on marine microalgae Isochrysis galbana

TiO_2 nanoparticles(NPs) could adversely impact aquatic ecosystems. However, the aggregation of these NPs could attenuate this effect. In this work, the biological effects of TiO_2 NPs on a marine microalgae Isochrysis galbana were investigated. The aggregation kinetics of TiO_2 NPs under different conditions was also investigated to determine and understand these effects. Results showed that, though TiO_2 NPs had no obvious impact on the size and reproducibility of algal cells under testing conditions, they caused a negative effect on algal chlorophyll, which led to a reduction in photosynthesis. Furthermore, fast aggregation of TiO_2 NPs occurred under all conditions, especially at the pH close to the p Hzpc. Increasing ionic strength and NP concentration also enhanced the aggregation rate.The aggregation and the following sedimentation of TiO_2 NPs reduced their adverse effects on I. galbana.     

Investigating the bacterial community and amoebae population in rural domestic wastewater reclamation for irrigation

Reclamation of domestic wastewater for agricultural irrigation is viewed as a sustainable option to create an alternative water source and address water scarcity. Free-living amoebae(FLA), which are amphizoic protozoa, are widely distributed in various environmental sources. The FLA could cause considerable environmental and health risks. However, little information is available on the risk of these protozoa. In this study, we evaluated the feasibility using rural domestic wastewater for agricultural irrigation, and analyzed dynamic changes of the microbial community structure and FLA populations in raw and treated wastewater, as well as the phyllosphere and rhizosphere of lettuce production sites that were irrigated with different water sources. The bacterial community dynamics were analyzed by terminal restriction fragment length polymorphism(T-RFLP). The bacterial community structures in the influent were similar to that in the effluent, while in some cases relative abundances varied significantly. The populations of Acanthamoeba spp. and Hartmannella vermiformis in the anaerobically treated wastewater were significantly higher than in the raw wastewater. The vegetables could harbor diverse amoebae, and the abundances of Acanthamoeba spp. and H. vermiformis in the rhizosphere were significantly higher than in the phyllosphere. Accordingly, our studies show insight into the distribution and dissemination of amoebae in wastewater treatment and irrigation practices.     

Long-term observations of tropospheric NO2, SO2 and HCHO by MAX-DOAS in Yangtze River Delta area, China

Yangtze River Delta(YRD) area is one of the important economic zones in China. However,this area faces increasing environmental problems. In this study, we use ground-based multi-axis differential optical absorption spectroscopy(MAX-DOAS) network in Eastern China to retrieve variations of NO_2, SO_2, and formaldehyde(HCHO) in the YRD area. Three cities of YRD(Hefei, Nanjing, and Shanghai) were selected for long-term observations. This paper presents technical performance and characteristics of instruments, their distribution in YRD, and results of vertical column densities(VCDs) and profiles of NO_2, SO_2, and HCHO.Average diurnal variations of tropospheric NO_2 and SO_2 in different seasons over the three stations yielded minimum values at noon or in the early afternoon, whereas tropospheric HCHO reached the maximum during midday hours. Slight reduction of the pollutants in weekends occurred in all the three sites. In general trace gas concentrations gradually reduced from Shanghai to Hefei. Tropospheric VCDs of NO_2, SO_2, and HCHO were compared with those from Ozone Monitoring Instrument(OMI) satellite observations, resulting in R~2 of 0.606, 0.5432, and 0.5566, respectively. According to analysis of regional transports of pollutants, pollution process happened in YRD under the north wind with the pollution dissipating in the southeast wind. The feature is significant in exploring transport of tropospheric trace gas pollution in YRD, and provides basis for satellite and model validation.     

利用集合均方根卡尔曼滤波反演重庆地区SO2源排放

传统的"自下而上"清单方法估算的排放清单,其数据的准确性和时效性存在较大局限.基于集合均方根卡尔曼滤波的源清单反演方法,结合WRF-CMAQ（天气研究和预报模式-公共多尺度空气质量模型）被用于对以清华大学编制的2010年MEIC（中国多尺度排放清单模型）排放清单为基础制作的重庆地区SO₂排放源进行反演试验以解决准确性和时效性问题,试验时间段为2014年10月15-31日,重庆主城17个环境空气质量国控监测点ρ（SO₂）小时观测资料用于反演及检验.结果表明:该方法能够反演重庆地区SO₂源排放量,随着反演次数增加,基于反演排放源预报的ρ（SO₂）预报误差持续减小,反演4次后预报误差达到比较低的稳定的水平,其均方根误差均低于20 μg/m3. 5次反演后SO₂源排放量用于2014年10月24-29日每天起始预报,其预报的站点、时间平均的均方根误差从100~400 μg/m3降至30 μg/m3以下.反演中应用局地化尺度减少集合取样误差影响,54与81 km两个局地化尺度反演结果对预报改善效果相当,表明主要影响重庆主城ρ（SO₂）的源排放位于主城及周边地区,也说明内源排放对重庆主城ρ（SO₂）起主要影响.反演后面源排放量主城区降幅约为30 kg/（d·km2）,周边地区减少10~20 kg/（d·km2）,主城区部分SO₂点源排放量降幅约为25 kg/（d·km2）,说明2010年MEIC排放清单高估了试验时段重庆地区的SO₂排放.      

互花米草入侵对长江口湿地土壤碳动态的影响

为了评价互花米草入侵对长江河口湿地土壤碳动态的影响,利用配对的试验设计在长江口崇明东滩湿地的高潮滩和低潮滩各设置1条入侵种互花米草与土著种的配对样线.结果表明,与土著植物相比,互花米草入侵显著增加了长江口湿地的植物碳库、土壤微生物碳、土壤总碳库和有机碳库,而对占土壤总碳库60%以上的无机碳库无显著影响,意味着互花米草入侵导致的土壤总碳库改变主要是通过增加土壤有机碳库来实现的.高潮滩互花米草和芦苇群落的年均土壤呼吸强度分别为（210.02±4.90）,（157.79±6.39）mg/（m²·h）;低潮滩互花米草和海三棱藨草群落年均土壤CO₂排放速率分别为（157.41±5.27）,（110.90±5.16）mg/（m²·h）,表明互花米草入侵显著增加长江口湿地的土壤呼吸.上述结果意味着互花米草入侵同时增加土壤碳输入和碳输出,但入侵也显著增加了土壤碳库表明入侵增加的土壤碳输入显著高于增加的土壤碳输出.本研究表明互花米草入侵可能会增强了长江河口湿地的土壤碳汇强度和固碳能力.但仍然需要长期系统的监测研究,以便全面定量评估互花米草入侵我国滨海湿地的综合生态影响.     

广西高镉异常区水田土壤Cd含量特征及生态风险评价

本研究调查了广西高镉异常区水田土壤中重金属Cd的含量水平,评估其对环境的潜在生态风险.通过初步筛查和详细调查两部分,分批次采集高镉异常区土壤样品共912件,测定土壤Cd含量,并运用单因子污染指数法和潜在风险指数法对水田土壤Cd污染程度及潜在风险进行评价.结果表明:①初查中自然土壤、水田土壤和旱地土壤Cd几何均值分别为0. 915、0. 591和0. 593 mg·kg~(-1).②详查中土壤p H为4. 6～8. 7,介于酸性和弱碱性间.若以《土壤环境质量标准》(GB15618-2018)为标准,平果县、天等县、大新县、隆安县和柳城县水田土壤样点Cd超标严重,融水县水田土壤样点无污染;以土壤基线值为评价标准,田东县、柳城县和融水土壤样点中Cd均为无污染状态;田阳县、平果县、天等县、大新县、隆安县和融安县水田土壤Cd处于轻度-中度污染的比例分别为:4. 2%、3. 7%、14. 9%、2. 6%、7. 1%和1. 4%.③9个县市水田土壤中Cd呈现不同级别潜在生态风险.天等县、大新县和隆安县部分水田土壤样点Cd处于高等生态风险,比例为4. 3%、2. 6%、2. 4%;田阳县、平果县、融安县和柳城县水田土壤Cd表现为中-中高等潜在风险;田东县和融水县处于低潜在生态风险.总体上,研究区水田土壤中Cd整体偏高,长此以往可能会对水稻安全种植产生影响,最终对当地居民产生健康威胁,应引起重视.建议开展对研究区土壤镉生物有效性和水稻镉累积状况研究,以便科学合理地评估其生态风险和健康风险.     

四环素对大肠杆菌抗生素抗性基因进化的影响

为了解环境中低浓度抗生素对抗生素抗性发展的影响,以大肠杆菌(Escherichia coli,E.coli)为基础材料,通过亚抑菌浓度四环素处理,得到由敏感到抗性的菌株,研究了四环素对大肠杆菌产生抗生素抗性基因(antibiotic resistance genes,ARGs)的影响,采用同位素标记相对和绝对定量技术(isobaric tags for relative and absolute quantification,iTRAQ),分析四环素处理前后,大肠杆菌总蛋白差异表达情况.结果表明,大肠杆菌经1/2MIC浓度的四环素诱导,20 d后可由敏感转至耐药,表明环境中的低浓度四环素的刺激对大肠杆菌耐药性的形成影响较大.并且,检测到四环素抗性基因tetA、tetE和tetZ,β-内酰胺类抗性基因blaTEM和blaFOX,多重耐药性基因acrA、marA和marR.蛋白结果表明大肠杆菌在四环素胁迫下以特定的节能存活模式,通过诱导细胞防御和修复系统来应对环境压力,并表现出对离子传输的严格调节,来抵抗四环素毒性的影响.研究结果为进一步解析环境中抗生素胁迫的抗性机制提供了参考.     

Fe3O4@SiO2-Chitosan的制备及其对水中Cu2+的吸附效能研究

以SiO_2包覆Fe_3O_4,戊二醛为交联剂,交联壳聚糖(Chitosan, CTS),制得Fe_3O_4@SiO_2-Chitosan复合磁性纳米粒子.以Fe_3O_4和Fe_3O_4@SiO_2为对照,采用X射线衍射、透射电镜和傅立叶红外光谱对其进行表征分析,并测定了投加量、pH值、吸附时间和温度等因素对Cu~(2+)吸附效果的影响,从动力学、热力学以及再生回用性能评价等方面对其吸附性能进行了探究.结果表明Fe_3O_4@SiO_2-Chitosan对Cu~(2+)的吸附过程符合准二级吸附动力学模型和Langmuir模型,为自发、放热、优惠型的单分子层化学吸附.在pH为6.0, 298 K下达到最大吸附量154.8 mg·g~(-1),吸附解吸4次后吸附容量变化不大,说明Fe_3O_4@SiO_2-Chitosan具有较高的吸附容量,可作为处理含铜废水和回收铜的高效吸附剂.     

典型城市化区域土壤重金属污染的空间特征与风险评价

随着我国城市化的快速发展,土壤环境面临着较高的生态环境风险.本文以我国南方某典型城市化区域土壤环境作为研究对象,共采集表层(0～20 cm)土壤样品106份,亚表层(20～40 cm) 96份并测定其重金属含量,然后采用内梅罗综合污染指数法和潜在生态危害法评价其生态风险程度,最后通过空间插值探讨其生态风险空间分布.结果表明,表层土壤Cr、Ni、Cu、Zn、As、Cd、Pb和Hg的含量范围分别为2. 87～84. 64、1. 40～56. 00、2. 75～125. 05、15. 05～201. 39、1. 46～89. 92、0. 001～0. 92、15. 29～160. 07和0. 006～0. 52 mg·kg~(-1);亚表层土壤的含量范围为3. 56～75. 14、1. 65～71. 58、3. 28～290. 04、17. 99～296. 94、3. 07～65. 67、0. 02～1. 00、11. 10～97. 59和0. 01～0. 41 mg·kg~(-1).依据农用地土壤污染风险管控标准,表层土壤中Cd、Cu、Pb、As和Zn的超标率分别为71. 70%、40. 57%、4. 72%、3. 77%和0. 94%,亚表层土壤中Cd、Cu、As、Zn、Pb和Ni的超标率分别为72. 92%、39. 58%、6. 25%、3. 13%、3. 13%和1. 04%,可见区域主要重金属污染因子为Cd和Cu,土壤重金属空间分布特征显示超标区域集中在区域北部.基于两种评价结果可以看出,北部地区污染程度和生态风险较高,其中Cd为风险指数偏高的主要驱动因子,风险评价空间分布特征与Cd的含量空间分布特征类似,说明区域土壤Cd污染应该引起重点关注.     

喀斯特地区小尺度农业土壤砷的空间分布及污染评价

贵州岩溶地貌分布广泛,部分地区的土壤砷(As)污染问题比较突出.为了解高As背景地区农业土壤As含量分布特征,选取贵州省兴义市西南部具有代表性的As污染区(典型喀斯特区、亚喀斯特区)为研究对象,并以非喀斯特区作为对照组,采用地统计分析与GIS相结合的方法研究农业土壤As的空间变异和污染状况,并采用Moran's I系数分析在小尺度下土壤As的空间自相关性及其方向性特征.结果表明,不同地貌区土壤中As含量从高到低依次为:典型喀斯特区亚喀斯特区非喀斯特区,其中典型喀斯特区农业土壤As的算术均值与几何均值分别为47. 9 mg·kg~(-1)和43. 3 mg·kg~(-1),亚喀斯特区其值分别为36. 8 mg·kg~(-1)和30. 1 mg·kg~(-1),两个区域农业土壤As含量明显高于贵州土壤As背景值,As的超标率分别为98. 5%和96. 7%,表现出明显的As累积,而非喀斯特区As超标率仅为6. 7%;独立样本T检验结果表明,在3个不同地貌类型中,农业土壤与自然土壤As含量均无显著性差异(P 0. 05).农业土壤As的Moran's I系数为0. 45,Z值为11. 61,在本采样尺度下具有显著的正空间自相关(P 0. 05),存在空间聚集,尤其是东北-西南方向空间自相关性较好,以结构性变异为主.农业土壤样本As总体上处于轻微污染至轻度污染之间,分别占27. 10%、29. 02%,部分地区处于中度污染级别,而处于无污染状态的样本占41. 94%.