乙醇汽油与普通汽油非常规污染物排放特性对比研究

在一台满足国Ⅴ排放标准的双喷射(气口喷射+缸内直喷)汽油机上开展了燃用E10乙醇汽油(乙醇体积比为10%)对发动机非常规排放特性影响的试验研究.使用傅里叶变换红外分析仪(FTIR)测量了饱和烃、不饱和烃、芳香烃及醇、醛等非常规污染物排放量,对比分析了双喷射模式时各工况下E0和E10两种燃料的非常规排放水平.结果表明,双喷射模式下,加入乙醇有效降低了乙烯、1,3-丁二烯、苯和甲苯的排放量,但会导致乙醛排放升高.双喷射模式下,随着负荷增加,两种燃料下的1,3-丁二烯和甲苯排放呈现先升高后降低的趋势,乙烯、甲醛和苯排放则先降低后升高.乙醇能抑制1,3-丁二烯、乙烯生成,抑制效果为PFI模式优于双喷射模式,GDI模式抑制量最低.PFI和GDI模式下E10的甲醛排放均显著升高,但双喷射模式有效抑制了甲醛排放的增加.     

焦化废水处理过程中固相物质的形成及处置方法评价

焦化废水处理过程中产生的焦油、污泥和结晶杂盐等固相物质,既有资源属性,又有污染特性,但目前缺乏基于能源、经济及环境影响方面的评估.本研究阐述了3类固相物质的形成机制,建立了质量当量计算及处置方法评价模型.以宝武集团韶关钢铁股份有限公司焦化厂（二期）焦化废水处理工程的A/O/H/O（厌氧/好氧/水解/好氧）流化床工艺作为考察对象,利用工程运行参数和水质统计数据进行固相物质的产量推算,结果发现,焦油、物化污泥、生物污泥（含水率为80%）和工业杂盐的产率分别为0.186、5.80、4.24和1.97 kg·m^-3.通过处置方法评价模型明确了焦油焚烧、污泥热解、结晶杂盐分盐提纯后工业应用是最佳处置方案,在60 m³·h^-1废水处理规模的固相物质处置过程中,每年约产生1177 MWh的能源,获得135.0万元的经济效益,排放627.0 t CO₂,表明能源回收、经济效益和环境影响的协同存在.     

生态文明视角下的国土空间底线管控：“双评价”与国土空间规划监测评估预警

生态文明新时代下的空间规划体系对国土空间底线管控提出了明确要求,“双评价”与国土空间规划监测评估预警是底线思维的体现。研究“双评价”与国土空间规划监测评估预警在国土空间底线管控中的作用和地位,通过国土空间规划“一张图”实施监督信息系统的建设,对二者的联系及其相互作用进行体现,构建二者的联动方式,服务于国土空间底线管控及治理的全过程。“双评价”与国土空间规划监测评估预警共同组成底线管控的两个阶段,前者是开展底线管控的基础,后者是底线管控的路径和手段,两者皆是生态文明新时代下国土空间规划底线管控的重要工具,需以国土空间规划“一张图”实施监督信息系统为基础加强两者的有机结合。     

基于AIS轨迹修复的船舶排放空间表征改进方法与应用

基于船舶自动识别系统（Automatic Identification System,AIS）数据表征船舶排放是目前船舶排放空间表征的主流方法,但AIS船舶轨迹点缺失会造成船舶排放量低估和船舶空间分布表征错误,进而影响船舶排放控制区的划分.为改进船舶排放空间表征,本研究以2013年广东省AIS船舶数据为例,采用基于时间和经纬度的三次样条方法对AIS船舶轨迹进行修复,结合动力法计算船舶排放,分析对比AIS轨迹修复前后船舶排放表征的差异,并利用空气质量模型和卫星观测评估AIS轨迹修复对船舶排放表征和广东沿海空气质量模拟的改进效果.结果表明：轨迹修复后广东省海域船舶轨迹点总数由4685773个增至5746664个,船舶NO_x排放量增加了0.6%.对于轨迹点与排放缺失集中的粤东海域,轨迹修复后船舶轨迹点数增加了88%,NO_x排放量在广东省船舶排放量的占比提升至22%,特别是在粤东重点修复海域NO_x排放量增加了2.7倍.原始轨迹在广东省海域较为稀疏,在粤东海域有明显轨迹缺失;轨迹修复后广东省海域船舶轨迹更为密集,粤东海域船舶轨迹得以补充,船舶排放空间分布更连贯.对比模拟结果与卫星观测结果,轨迹修复后粤东重点修复海域船舶模拟浓度与观测浓度的偏差由51%减至6%,总体上船舶排放模拟结果更接近卫星观测结果.     

苯醌对聚合硅酸铁多相UV-Fenton体系的增效机制

通过构建苯醌增效聚合硅酸铁多相UV-Fenton体系,讨论了体系中橙Ⅱ的脱色和降解途径.在研究苯醌浓度对聚合硅酸铁铁离子的释放、Fe²⁺与Fe³⁺之间的转化、H₂O₂分解和·OH生成影响的基础上,提出了苯醌对聚合硅酸铁多相UV-Fenton体系的增效机制.结果表明,随苯醌浓度的增加,其紫外光下光解还原聚合硅酸铁并释放Fe²⁺的程度增大、H₂O₂分解速度加快、产生·OH浓度峰值增高且出现的时间提前;苯醌增效体系释放于溶液中的Fe²⁺可以通过Fenton反应转化成Fe³⁺,反应结束后聚合硅酸铁能重新吸附Fe³⁺并使其浓度降低,避免了增效体系铁离子的二次污染.本研究将为多相催化剂催化过程的调控提供新的视角,为多相光助-芬顿反应在有机废水资源化中的应用提供理论依据和技术支持.     

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.     

An investigation of changes in water quality throughout the drinking water production/distribution chain using toxicological and fluorescence analyses

Changes in water quality from source water to finished water and tap water at two conventional drinking water treatment plants(DWTPs) were monitored.Beside the routine water quality testing,Caenorhabditis elegans-based toxicity assays and the fluorescence excitation–emission matrices technique were also applied.Both DWTPs supplied drinking water that met government standards.Under current test conditions,both the investigated finished water and tap water samples exhibited stronger lethal,genotoxic and reprotoxic potential than the relative source water sample,and the tap water sample was more lethal but tended to be less genotoxic than the corresponding finished water sample.Meanwhile,the nearly complete removal of tryptophan-like substances and newly generated tyrosine-like substances were observed after the treatment of drinking water,and humic-like substances were identified in the tap water.Based on these findings,toxic pollutants,including genotoxic/reproductive toxicants,are produced in the drinking water treatment and/or distribution processes.Moreover,further studies are needed to clarify the potentially important roles of tyrosine-like and humic-like substances in mediating drinking water toxicity and to identify the potential sources of these contaminants.Additionally,tryptophan-like fluorescence may be adopted as a useful parameter to monitor the treatment performance of DWTPs.Our observations provided insights into the importance of utilizing biotoxicity assays and fluorescence spectroscopy as tools to complement the routine evaluation of drinking water.     

On-going nitrification in chloraminated drinking water distribution system (DWDS) is conditioned by hydraulics and disinfection strategies

Within the drinking water distribution system (DWDS) using chloramine as disinfectant, nitrification caused by nitrifying bacteria is increasingly becoming a concern as it poses a great challenge for maintaining water quality. To investigate efficient control strategies, operational conditions including hydraulic regimes and disinfectant scenarios were controlled within a flow cell experimental facility. Two test phases were conducted to investigate the effects on the extent of nitrification of three flow rates (Q = 2, 6, and 10 L/min) and four disinfection scenarios (total Cl₂=1 mg/L, Cl₂/NH₃-N=3:1; total Cl₂=1 mg/L, Cl₂/NH₃-N=5:1; total Cl₂=5 mg/L, Cl₂/NH₃-N=3:1; and total Cl₂=5 mg/L, Cl₂/NH₃-N=5:1). Physico-chemical parameters and nitrification indicators were monitored during the tests. The characteristics of biofilm extracellular polymetric substance (EPS) were evaluated after the experiment. The main results from the study indicate that nitrification is affected by hydraulic conditions and the process tends to be severe when the fluid flow transforms from laminar to turbulent (2300<Re<4000). Increasing disinfectant concentration and optimizing Cl₂/NH₃-N mass ratio were found to inhibit nitrification to some extend when the system was running at turbulent condition (Q = 10 L/min, Re = 5535). EPS extracted from biofilm that was established at the flow rate of 6 L/min had greater carbohydrate/protein ratio. Furthermore, several nitrification indicators were evaluated for their prediction efficiency and the results suggest that the change of nitrite, together with total organic carbon (TOC) and turbidity can indicate nitrification potential efficiently.     

关于在长江经济带布局以水质改善为目标的流域生态缓冲体系的思考

生态缓冲带能够有效减缓流域内的人类活动或自然过程对水环境和水生态系统的影响.在长江经济带构建流域生态缓冲体系,对长江生态保护修复具有十分重要的意义.讨论了构建流域生态缓冲体系涉及的生态缓冲带位置选择、缓冲体系所占最低面积比率、宽度划定等一些基本的原则要求;利用卫星遥感影像数据,提取各汇水单元的地形特征、土地利用类型特征、土壤类型、土壤侵蚀强度、水文水系等数据,对长江经济带流域生态缓冲体系进行布局.结果表明:①长江经济带内林草地是主要土地利用类型,占区域总面积的62.46%,但是分布很不均匀,主要集中在西部高地和中下游的丘陵地带,在人口密集、农田密集的区域分布偏少;城镇用地主要集中在长江中下游地区.②土壤类型空间差异显著,浙江省、江苏省、湖南省、江西省及安徽省大部分区域的土壤多是黏性比较大,污染物迁移能力较低;而污染物迁移能力较强的砂质土或者土层较薄的山地草甸土主要分布在四川省北部、西北部.水力侵蚀、风力侵蚀和冻融侵蚀均有分布,且以水力侵蚀为主,建议在中度及以上侵蚀强度区域尽量减少污染源,重点布置缓冲带,增加该区域的缓冲力度.③长江经济带范围内可以利用的中小型湿地、小型河流支浜的面积至少有1.4×104 km2,再结合林草缓冲带,就可以形成一个生态缓冲体系.④在土地利用类型分布结果基础上,叠加土壤侵蚀强度和水系分布,将污染源区、中度及以上侵蚀强度区、水体区作为缓冲对象,建立缓冲体系的重点区域,总面积约14.26×104 km2,占长江经济带总面积的6.95%.对照欧美地区的研究,6.95%的缓冲体系面积占比是偏低的,需要在长江经济带开展深入研究来确定适宜的缓冲体系面积比,推进长江经济带流域生态缓冲体系的构建.      

人工智能技术对长江流域水污染治理的思考

随着经济的快速发展和城市化进程的不断加速,促使水污染严重的长江流域需从污染物去除过程的建模与优化、污水处理过程的优化控制、水污染监测系统的构建开展水污染治理研究.传统的水污染处理技术存在污染物去除效率预测精度较低、污水优化控制成本较高、水污染监测滞后效应严重的问题.人工智能技术能够有效克服上述问题,因此通过梳理国内外学者利用人工智能技术在污水污染物去除过程的建模与优化、污水处理过程的优化控制及水污染监测系统的构建等方面的研究成果,为全面加强长江流域水污染治理能力提供科学可靠的技术指导.结果表明:①利用人工神经网络技术（径向基神经网络、多层前馈网络-人工神经网络、多层感知器神经网络）对污水污染物去除过程进行建模与优化,为精确预测长江流域重金属（Cr、Cu）、营养盐（TN、TP）、持久性有机污染物〔PBDEs（多溴二苯醚）、HCH（六氯环己烷）〕的去除率提供重要参考价值.②采用污水处理的自动控制技术与人工智能技术（递归神经网络、支持向量机、模糊神经网络等）构建污水智能控制系统,为长江流域实现高效节能的污水优化控制提供重要的技术指导.③利用在线监测仪器和人工智能技术（小波神经网络、多元线性回归-人工神经网络、叠层去噪自动编码器等）建立水污染智能监测系统,为解决长江流域水污染监测响应滞后问题提供有力的技术支持.因此,人工智能技术对长江流域提高污水污染物去除率,降低污水优化控制成本,提升水污染监测时效性具有重要的推广价值.