船舶排放及不确定性对中国空气质量的影响

船舶排放是我国沿海地区重要的人为排放源,但现有的船舶排放评估研究大多只关注区域尺度的影响分析,而且忽视了排放清单的不确定性,这在一定程度上削弱了评估结果的可靠性.为此,本文利用WRF-SMOKE-CAMQ空气质量模型,定量评估了船舶排放及其不确定性对我国七大沿海港口城市夏季空气质量的影响,结果表明：船舶排放对我国主要沿海港口城市的SO₂、NO_x和PM_2.5浓度贡献范围分别为16.5%~62.5%、21.9%~72.9%和5.9%~26.0%,尤其对宁波、青岛和深圳等港口城市空气质量的影响显著,主要是由于港口较高的船舶排放以及气象传输两方面原因造成的;如果考虑船舶排放清单的总量不确定性,船舶排放对沿海港口城市夏季SO₂、NO_x和PM_2.5的影响分别呈现1.0~3.1,2.1~5.5,0.3~0.9μg/m³的波动;考虑船舶排放清单的时空分配不确定性,船舶排放对沿海港口城市夏季SO₂、NO_x和PM_2.5的影响分别呈现1.9~15.7,5.1~29.3,0.6~2.5μg/m³的波动.可见,船舶排放清单的不确定性对沿海城市船舶排放贡献影响量化有明显的影响.所以在评估船舶排放对港口城市空气质量的影响时,要考虑船舶排放清单的不确定性,尤其是时空分配的不确定性.而合理的时空分配能够提高船舶排放清单的质量和对沿海空气质量模拟的准确性.     

MnCeOx/沸石催化剂对工业典型VOCs的催化性能

以沸石为载体制备了锰铈复合氧化物催化剂（记为:MnCeO_x/沸石催化剂）,探究了催化剂对工业典型VOCs的二元催化性能,并对催化剂进行BET、XRD及SEM表征。结果表明:Ce的加入,促进了Mn的分散,提高了MnCeO_x/沸石催化剂的活性;当n（Mn）∶n（Ce）为1∶1,负载率为20%,焙烧温度为500℃时,催化剂的活性最高,其对甲苯的起燃温度（T₅₀）和完全燃烧温度（T₉₀）分别为155,255℃;单组分实验中,催化剂对3种有机物均表现出较高活性,转化率达到90%时的反应温度均在275℃以下,其活性顺序为乙酸乙酯>甲苯>丙酮,主要受反应活化能大小及分子极性的影响;二元催化实验中,由于竞争吸附的影响,3种物质的T₅₀和T₉₀较单组分均分别提高了8~13,14~38℃。     

稻壳与聚氯乙烯共热解的特性及动力学

在热重分析仪中进行了稻壳和聚氯乙烯（PVC）的共热解实验,结果显示:在共热解时稻壳开始剧烈热解的温度相比单独热解时大幅度降低,由350℃降至300℃,表明掺入PVC降低了稻壳的热解温度。在升温速率为20℃/min,稻壳和PVC比例为2∶1（质量比）时,混合热解协同效应最明显。3种动力学分析方法均证明共热解现象的存在。利用Coats-Redfern法进行动力学分析,发现共热解活化能普遍较单独热解时低,表明PVC与稻壳共热解有明显的相互作用。利用Ozawa法进行分析,发现转化率为20%~60%阶段下共热解平均活化能值为37.60 kJ/mol,低于稻壳单独热解的平均活化能41.45 kJ/mol。Friedman法分析结果显示对应转化率下共热解活化能均低于稻壳单独热解活化能。稻壳和PVC共热解倾向于反应动力学控制。     

海绵城市的地区分类建设范式

在系统分析我国城市的水文地质和气候条件等自然因素和新旧城区、功能区等社会因素的基础上,分类和总结现有海绵城市试点经验,提出了基于我国地域分类和社会属性分类的海绵城市建设策略和范式,以期为海绵城市建设的推广提供借鉴。     

基于Stacking的地面PM2.5浓度估算

为了解决地面PM_2.5监测网络在空间和时间覆盖受限的问题,提出了基于宽时空覆盖的卫星气溶胶光学厚度AOD,利用Stacking方法建立地面PM_2.5浓度估算模型,将AOD、PM_2.5和各气象参数以及与PM_2.5排放有关的数据进行训练,使用改进网格搜索对模型超参数进行优化,通过对多重共线性分析,建立基于Stacking的最优PM_2.5浓度估算模型。选取2016-01-01-2016-12-31的数据作为实验对象,结果表明:相比于随机森林、GBRT和XGBoost 3种模型,使用岭回归作为元学习器的Stacking模型性能更优,可见Stacking适用于大范围地理区域的大气污染监测。     

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.     

排水管道沉积物微生物群落及环境因子分析

选取北京市某区的排水管道沉积物进行取样,采用高通量测序手段分析,结果表明变形菌门、广古菌门、拟杆菌门、厚壁菌门是排水管道沉积物微生物中的优势门类;在纲水平上,δ-变形菌纲、甲烷微菌纲、梭菌纲、拟杆菌纲占相对优势;在属水平上,功能性微生物硫酸盐还原菌（SRB）和产甲烷古菌（MA）普遍存在于各处管道.在所选的6段管段中,管段S3、S4处MA的相对丰度分别为20.6%、40.8%,高于其他管段,厌氧产甲烷的潜能较大,有发生可燃气积累的风险;管段S5、S6处的SRB相对丰度分别为9.14%、8.19%,高于其他管段,硫酸盐还原为硫化物的潜能较大,存在管道腐蚀的风险.RDA分析表明污水的DO、水温、硫酸根、TN与管道沉积物中微生物群落存在相关性.     

Acceleration of floc-water separation and floc reduction with magnetic nanoparticles during demulsification of complex waste cutting emulsions

Waste cutting emulsions are difficult to treat efficiently owing to their complex composition and stable emulsified structure. As an important treatment method for emulsions, chemical demulsification is faced with challenges such as low flocs–water separation rates and high sludge production. Hence, in this study, Fe₃O₄ magnetic nanoparticles (MNPs) were used to enhance chemical demulsification performance for treating waste cutting emulsions under a magnetic field. The addition of MNPs significantly decreased the time required to attain sludge–water separation and sludge compression equilibrium, from 210 to 20 min. In addition, the volume percentage of sludge produced at the equilibrium state was reduced from 45% to 10%. This excellent flocculation–separation performance was stable over a pH range of 3–11. The magnetization of the flocculants and oil droplets to form a flocculant–MNP–oil droplet composite, and the magnetic transfer of the composite were two key processes that enhanced the separation of cutting emulsions. Specifically, the interactions among MNPs, flocculants, and oil droplets were important in the magnetization process, which was controlled by the structures and properties of the three components. Under the magnetic field, the magnetized flocculant–MNP–oil droplet composites were considerably accelerated and separated from water, and the sludge was simultaneously compressed. Thus, this study expands the applicability of magnetic separation techniques in the treatment of complex waste cutting emulsions.     

杭州湾北岸36种挥发性有机物污染特征及来源解析

为研究杭州湾北岸VOCs（挥发性有机物）的浓度水平、组成特征、反应活性和潜在来源,采用GC-FID在线监测系统对杭州湾北岸环境大气中的36种VOCs开展了为期1 a（2017年12月-2018年11月）的连续观测,采用LOH（VOCs的·OH消耗速率）和OFP（O₃生成潜势）2种方法估算了大气VOCs的反应活性,并利用PMF（正定矩阵因子分解）和CPF（条件概率函数）模型分析其来源.结果表明:①φ（VOCs）小时平均值在冬季（26.47×10-9）最高,夏季（9.76×10-9）最低;全年φ（VOCs）小时平均值为21.24×10-9,其中烷烃、烯烃+炔烃、芳香烃、卤代烃的贡献率分别为33.24%、34.13%、15.63%、17.00%;φ（烷烃）、φ（芳香烃）和φ（卤代烃）呈较明显的昼夜变化特征,φ（烯烃）和φ（炔烃）无明显昼夜变化趋势.②大气VOCs的总LOH和OFP分别为9.39 s-1和220.57 μg/m3,KOH（·OH反应速率常数）和MIR（最大增量反应活性）系数的平均值分别为17.34×10-12 cm3/（molecule·s）和3.31;KOH和MIR系数的平均值分别与间/对-二甲苯的KOH和乙苯的MIR系数接近,表明大气VOCs的化学反应活性较强;VOCs关键活性物种为异戊二烯、乙烯、丙烯、甲苯、二甲苯和顺-2-丁烯.③特征物种相关性分析表明,杭州湾北岸大气存在老化现象,异戊烷和正戊烷受煤燃烧源影响较大,二甲苯和乙苯受溶剂排放源影响较大,甲苯和苯除受机动车尾气影响外,还受其他排放源影响.④PMF和CPF模型来源分析表明,大气VOCs主要来自石化工业源、燃料挥发源、生物质燃烧和煤燃烧源、机动车排放源和溶剂使用源,其中,机动车排放源主要来自西北方向,其他源主要来自西北、西和西南方向.研究显示,杭州湾北岸大气VOCs来源复杂,受周边工业区的影响较大.      

Investigation to meet China II emission legislation for marine diesel engine with diesel methanol compound combustion technology

In order to reduce the pollutant emission and alleviate the pressure of petroleum resources shortage and greenhouse gas emission at the same time, the use of clean and renewable alternative fuel for marine engines is a promising option. In this study, a marine diesel engine, which was modified to run in diesel methanol compound combustion (DMCC) mode, was investigated. After the diesel injection parameters were calibrated, and combined with a sample after-treatment device DOC (diesel oxidation catalyst), the engine could meet the requirements of China II legislation. The overall MSP (methanol substitute percent) reached 54.1%. The value of each pollutant emission was much lower than that in China II emission legislation, and there was almost no methanol and formaldehyde emissions. When methanol was injected into the inlet manifold, the intake air temperature decreased a lot, as well as the exhaust gas temperature, which were beneficial to increase engine thermal efficiency and improve engine room environment. Compared with the engine running in pure diesel mode, when the engine ran in diesel/methanol dual fuel mode, the combustion phase was advanced, and the combustion duration became shorter. Therefore, the engine thermal efficiency increased, and fuel consumption decreased significantly.