除Cd (Ⅱ)重金属吸附剂——巯基乙酰化玉米秸秆的制备

以玉米秸秆（CS）、巯基乙酸（TGA）为原料,通过化学反应制备出重金属吸附剂——巯基乙酰化玉米秸秆（MACS）,考察MACS对水样中Cd （Ⅱ）的去除性能,采用单因素实验法对MACS的制备条件进行优化研究。结果表明,MACS的优化制备条件为:CS粒径为0.20 mm （80目）,m（催化剂NHS）:m（EDC·HCl）为0.5:1,m（CS）:V（TGA）为1:5,反应介质pH值为5.0,反应温度25℃,反应时间2 h。在此条件下制备的MACS对水样中Cd （Ⅱ）的吸附效率可达到61.57%。红外分析表明,CS分子链中成功引入了巯基。     

基于在线监测+模型的海绵城市建设径流水量控制效果研究

以青岛市海绵城市典型项目区为研究区,通过收集、整理和概化汇水区资料,构建了研究区降雨径流模型——SWMM模型。利用2018年雨季的降雨-径流实时监测数据,进行了模型关键参数的率定和模型验证,研究了海绵城市建设在削减径流量、增加入渗与滞蓄雨量方面的定量效果。结果显示:海绵改造后,不同降雨强度下形成径流的雨量占总雨量的平均比例由56%下降至29%;下渗雨水的平均比例由40%增加至60%,滞蓄深度由0.63 mm增加至5 mm。海绵改造前后研究区场降雨径流总量控制率变化显著,当以1~10年一遇的短历时（120 min）设计降雨作为模型边界条件进行模拟时,海绵化改造后场次降雨径流总量控制率提高了26%~34%,认为研究区基本达到了海绵城市关于水量控制的建设要求。     

雨水管道沉积物中典型无机氮的干期粒径分布

以南京江北新区分流制雨水管道沉积物为研究对象,考察不同粒径沉积物中铵态氮（NH₃-N）和硝态氮（NO₃^--N）干期分布特征,分析其随干期长度的变化关系,并探讨沉积物理化性质及微生物菌群结构对NH₃-N和NO₃^--N干期分布的影响.结果表明：粒径≤0.075mm的沉积物中NH₃-N占比最高（交通区30.8%,商业区36.7%）;交通区粒径≤0.075mm的沉积物中NO₃^--N占比最高（33.0%）,而商业区粒径0.075~0.15mm沉积物中NO₃^--N占比最高（34.4%）;干期长度与交通区0.075~0.15mm粒径段的沉积物中NO₃^--N含量及商业区粒径≥0.3mm的沉积物中NH₃-N含量之间的相关性均最显著;雨水管道沉积物中NH₃-N和NO₃^--N的干期分布与O-H和N-H等官能团、表面极性和亲水性、微观形貌等有一定关联;交通区雨水管道沉积物中Gemmobacter等反硝化优势菌种（相对丰度总和为20.15%）对NO₃^--N干期分布影响更显著.     

预处理对园林垃圾混合物料联合厌氧发酵的影响

采用超声、微波及碱热预处理技术强化园林垃圾、厨余垃圾与果蔬垃圾联合厌氧发酵产气性能,并以未进行预处理的实验组作为对照。结果表明:4组实验pH值在2 d内迅速降低至7.24~7.45,反应后期可稳定在7.7~8.0,表明厌氧消化系统有较强的稳定性。挥发性脂肪酸（volatile fatty acids,VFA）浓度在第2~4天内达到最大值。乙酸和丙酸是4组实验中VFA的主要成分,两者比例之和在70%以上。VFA浓度在第13天后降低到500 mg/L以下,且以乙酸为主。氨氮（TAN）浓度在前4 d内出现一定波动,随后逐渐升高至2190~2410 mg/L。游离氨氮（FAN）浓度呈先降低后增加趋势,并在第13天后逐渐趋于稳定,为144~209 mg/L。沼气中甲烷比例在第2天后均超过50%,并在第11~12天时达到最大值61.4%~63.8%。修正的Gomperts模型模拟结果表明:预处理技术可缩短反应体系厌氧产沼的适应时间,提高前期产气速率。除此之外,超声预处理与碱热预处理可显著提高基质甲烷产率,由未处理时的396 mL/g分别提高到601,536 mL/g,而微波预处理使得反应体系甲烷产量略有降低。     

Synergistic effects of Cu species and acidity of Cu-ZSM-5 on catalytic performance for selective catalytic oxidation of n-butylamine

In this work, a series of Cu-ZSM-5 catalysts with different SiO₂/Al₂O₃ ratios (25, 50, 100 and 200) were synthesized and investigated in n-butylamine catalytic degradation. The n-butylamine can be completely catalytic degradation at 350°C over all Cu-ZSM-5 catalysts. Moreover, Cu-ZSM-5 (25) exhibited the highest selectivity to N₂, exceeding 90% at 350°C. These samples were investigated in detail by several characterizations to illuminate the dependence of the catalytic performance on redox properties, Cu species, and acidity. The characterization results proved that the redox properties and chemisorption oxygen primarily affect n-butylamine conversion. N₂ selectivity was impacted by the Brønsted acidity and the isolated Cu²⁺ species. Meanwhile, the surface acid sites over Cu-ZSM-5 catalysts could influence the formation of Cu species. Furthermore, in situ diffuse reflectance infrared Fourier transform spectra was adopted to explore the reaction mechanism. The Cu-ZSM-5 catalysts are the most prospective catalysts for nitrogen-containing volatile organic compounds removal, and the results in this study could provide new insights into catalysts design for VOC catalytic oxidation.     

不同浓度锌处理下水稻幼苗对镉的累积效应

为探究锌（Zn）对水稻镉（Cd）累积的影响及其根表铁膜所发挥的作用,选取Cd高累积型水稻品种中9优547（简称"Z547"）和Cd低累积型水稻品种金优402（简称"J402"）,采用温室水培试验,研究0、2、5、10、15和20 μmol/L等6个Zn浓度下水稻幼苗对Cd的累积效应,以及不同浓度Zn处理对根表铁膜生成量的影响.结果表明:①随着c（Zn）的增加,Z547和J402水稻幼苗生物量均呈先增后减的趋势,分别在c（Zn）为2和10 μmol/L时达到最大值.②Z547和J402水稻幼苗中w（Cd）均呈先降后增的趋势,分别在c（Zn）为5和2 μmol/L时达到最小值;当水稻幼苗中w（Cd）达到最小值时,Z547根和地上部中w（Cd）分别为31.65和11.47 mg/kg,J402根和地上部中w（Cd）分别为22.58和14.36 mg/kg.③不同浓度Zn处理下水稻幼苗各部位中w（Cd）均与根表铁膜中w（Mn）、w（Fe）、w（Fe+Mn）呈显著正相关,高铁膜处理水稻幼苗中w（Cd）显著高于低铁膜处理,表明根表铁膜生成量的增加会促进Cd在水稻幼苗中的累积.研究显示,当c（Zn）较低时,c（Zn）的增加会抑制水稻幼苗对Cd的累积;当c（Zn）较高时,c（Zn）的增加会促进水稻幼苗对Cd的累积,而Zn可通过控制根表铁膜的生成来影响水稻幼苗对Cd的累积.      

Chemical characteristics of road dust PM2.5 fraction in oasis cities at the margin of Tarim Basin

In order to understand the compositions characteristics of particulate matter with aerodynamic diameter less than 2.5 μm (PM_2.5) fraction in road dust (RD_2.5) of oasis cities on the edge of Tarim Basin, 30 road dust (RD) samples were collected in Kashi, Cele, and Yutian in the spring, 2018, and RD_2.5 was collected using the resuspension approach. Eight water-soluble ions, 39 trace elements and 8 fractions of carbon-containing species in PM_2.5 were analyzed. Ca²⁺ and Ca were the most abundant ions and elements in RD_2.5 (7.1% and 9.5%). Cl^- in RD_2.5 was affected not only by attributed to saline-alkali soils in oasis cities of the Tarim Basin and dust from Taklimakan Desert but also by human activities. Moreover, the organic carbon/elemental carbon (OC/EC) ratio indicated that carbon components in RD_2.5 in Cele town mainly come from fossil fuel combustion, while those in Yutian and Kashi mainly come from biomass combustion. It is noteworthy that high Ca in RD_2.5 was seriously affected by anthropogenic emissions, and high Na and K contents in RD_2.5 could be derived from soil and desert dust. It was estimated that Cd, Tl, Sn and Cr were emitted from anthropogenic emissions using the enrichment factor. The coefficients of divergence (COD) result indicated that the influence of local emission on road dust emission is greater than that of long-distance transmission. This study is the first time to comprehensively analyze the chemical characteristics of road dust in oasis cities, and the results provides the sources of road dust at the margin of Tarim Basin.     

Analytical methods and environmental processes of nanoplastics

The degradation of plastic debris may result in the generation of nanoplastics (NPs). Their high specific surface area for the sorption of organic pollutions and toxic heavy metals and possible transfer between organisms at different nutrient levels make the study of NPs an urgent priority. However, there is very limited understanding on the occurrence, distribution, abundant, and fate of NPs in the environment, partially due to the lack of suitable techniques for the separation and identification of NPs from complex environmental matrices. In this review, we first overviewed the state-of-the-art methods for the extraction, separation, identification and quantification of NPs in the environment. Some of them have been successfully applied for the field determination of NPs, while some are borrowed from the detection of microplastics or engineered nanomaterials. Then the possible fate and transport of NPs in the environment are thoroughly described. Although great efforts have been made during the recent years, large knowledge gaps still exist, such as the relatively high detection limit of existing method failing to detect ultralow masses of NPs in the environment, and spherical polystyrene NP models failing to represent the various compositions of NPs with different irregular shapes, which needs further investigation.     

武当山夏季颗粒物数浓度谱分布特征及气团来源影响研究

为研究大气边界层中上层大气颗粒物的数浓度谱分布特征及气团来源的影响,于2018年6月利用3080型SMPS粒径谱仪对武当山14.6~660 nm颗粒物数浓度谱进行观测,分析和探讨了其数浓度谱分布及日变化特征,并结合后向轨迹、潜在源贡献因子法（PSCF）与浓度权重轨迹分析法（CWT）探讨对武当山颗粒物数浓度影响较大的外源输送路径和贡献源区.结果表明:①武当山大气颗粒物主要以爱根模态为主,平均数浓度为2 500个/cm3,积聚模态、核膜态平均数浓度分别为2 265、359个/cm3,3种模态数浓度分别占总数浓度的48.79%、44.21%、7.01%.②在新粒子生成日,核膜态数浓度于10:00开始上升,11:00—17:00的核膜态数浓度相对较高,约2 000个/cm3.新粒子生成日ρ（SO₂）与ρ（O₃）的日变化趋势均与核模态数浓度较为相似,表明SO₂和O₃参与光化学反应后的产物（硫酸及有机物）有利于新粒子的生成与增长.新粒子生成日风速、温度均大于非新粒子生成日,但相对湿度较低.③在东部及局地气团影响下大气颗粒物主要以积聚模态为主,数浓度分别为2 311和2 596个/cm3;核模态、爱根模态数浓度在受西北气团影响时最大,数浓度分别为806和3 078个/cm3.④潜在源区分析表明,影响武当山积聚模态数浓度的主要源区为十堰市本地及襄阳市,二者贡献值在840个/cm3以上.研究显示,武当山颗粒物主要以爱根模态为主,颗粒物数浓度日变化主要受大气边界层发展及山谷风的影响,较高的ρ（SO₂）与ρ（O₃）以及高温、低湿及较大的风速均有利于新粒子的生成,周边城市的区域性传输对武当山颗粒物的影响较大.      

基于底栖动物的松花江流域不同地形分区水质指标阈值研究

为全面了解松花江流域不同地形分区内底栖动物群落对水质指标的响应规律,识别不同分区水质指标指示物种的差异,于2016—2018年对松花江流域97个采样点的水质指标〔EC、ρ（DO）、ρ（COD_Mn）、ρ（NH₃-N）、ρ（TN）、ρ（TP）〕和大型底栖动物群落进行调查分析,采用临界指示物种分析法（threshold indicator taxa analysis,TITAN）分别探讨松花江流域山区、丘陵区和平原区水质指标的生态阈值,当污染物浓度超过负响应阈值时敏感种密度降低,当超过正响应阈值时耐受种也会受到明显影响,底栖动物群落结构会发生显著变化.将TITAN法所得的负响应阈值作为触发底栖动物群落发生变化的最低值,正响应阈值为底栖动物群落的耐受极限值.结果表明:①松花江流域水质指标在不同地形分区内的阈值不同,除ρ（DO）和ρ（COD_Mn）外,其他指标负响应阈值均表现为山区 < 丘陵区 < 平原区,ρ（DO）则表现相反,ρ（COD_Mn）在丘陵区出现最高阈值（5.46 mg/L）、山区出现最低阈值（4.01 mg/L）.除ρ（DO）以外,其他指标的正响应阈值均呈山区 < 丘陵区 < 平原区的趋势,ρ（DO）正响应阈值的变化趋势则与之相反.②松花江流域内超过50%的采样点水质指标值均超过其负响应阈值,超出正响应阈值的采样点比例在6%~40%之间,说明流域受到一定的干扰,但干扰程度不严重.③同一物种在不同地形分区内对水体理化指标的指示方向可能相反.萝卜螺属在丘陵区为ρ（NH₃-N）的正响应指示物种,在平原区则转变为负响应指示物种;短沟蜷属在丘陵区为ρ（TN）和ρ（TP）的正响应物种,在平原区则转变为负响应物种.研究显示,大型底栖动物群落结构的分布特征是影响水质指标阈值指示物种识别的主要原因,而不同分区的自然地理状况、栖境状况和水质状况则是造成大型底栖动物群落结构分布差异的主要因素.