中国村镇生活垃圾的养分与重金属含量特征及其农用潜力分析

对全国12个省份72个典型村镇进行了生活垃圾采样调查,系统分析了我国农村生活垃圾的基本理化特性、养分含量与重金属特征及其农用潜力。研究表明:我国典型村镇生活垃圾含水率为(53.68±8.84)%,p H为7.11±0.56,有机质含量为(49.04±10.49)%,C/N约为43∶1,C/P约为144∶1。除C/N略高外,其余特性均适合进行堆肥化处置。我国典型村镇生活垃圾中重金属As、Hg、Pb、Cd、Cr,Cu和Zn含量分别为(7.645±8.729),(0.737±0.480),(21.798±17.606),(3.356±11.012),(108.632±84.011),(36.834±10.905),(80.093±42.237)mg/kg。与国内相关标准相比,只有Hg、Cd超标,最大超标率分别为29.17%、43.75%;与欧美相关标准相比,仅有Cd、Cr超标,最大超标率分别为25.69%、37.50%。     

多相流中细长颗粒数值模拟研究综述

纤维干燥尾气中的飞灰含有大量的木质纤维、砂光粉和其他粉尘。从形状来看,木质纤维属细长颗粒,和研究较为成熟的球形颗粒在许多方面存在较多差异。目前,国内外学者们已对细长颗粒在多相流中的悬浮、沉降及流化方面开展了大量数值模拟研究,取得了一定的进展;在此基础上,继续完善木质纤维的运动特征、推导出其在换热器表面的碰撞沉积模型是下一步的主要工作。     

支撑环境污染第三方治理的标准体系构建研究

采用系统论及系统工程方法论,结合我国环境污染治理标准制定情况,构建了科学合理的支撑环境污染第三方治理的标准体系。标准体系包含4个子体系及22个专业领域,体系的建立可为形成环境污染第三方治理相关的共性技术、管理与服务标准提供理论参考。通过标准梳理工作,确定未来迫切需要制定一整套环境污染第三方治理绩效评价的相关标准。该研究成果能够强化环境污染第三方治理效果,完善环境污染第三方治理机制体制,对规范环境污染第三方治理技术与服务市场化应用具有一定的参考价值。     

浸没燃烧技术处理高浓度有机废水研究

针对现阶段高浓度有机废水处理困难的问题,提出了一种基于浸没燃烧技术的处理方法,设计制作了1台浸没燃烧装置,并开展了高浓度有机废水浸没燃烧实验研究,探究了过量空气系数、二次风量、燃烧温度等参数对燃烧尾气中CO、NOx排放的影响,以及浸没深度、燃烧温度对高浓度有机废水COD去除的影响。实验结果表明:该工艺对高浓度有机废水中的有机物去除效果明显,温度在900℃以上,浸没深度达到20 cm时,COD去除率可达90%以上。该方法可作为废水处理设备,与生物法等处理技术联用,应用前景广阔。     

Phosphorus recovery from municipal and fertilizer wastewater: China's potential and perspective

Phosphorus (P) is a limited resource, which can neither be synthesized nor substituted in its essential functions as nutrient. Currently explored and economically feasible global reserves may be depleted within generations. China is the largest phosphate fertilizer producing and consuming country in the world. China''s municipal wastewater contains up to 293,163 Mg year of phosphorus, which equals approximately 5.5% of the chemical fertilizer phosphorus consumed in China. Phosphorus in wastewater can be seen not only as a source of pollution to be reduced, but also as a limited resource to be recovered. Based upon existing phosphorus-recovery technologies and the current wastewater infrastructure in China, three options for phosphorus recovery from sewage sludge, sludge ash and the fertilizer industry were analyzed according to the specific conditions in China.     

Effects of Cu2+ and humic acids on degradation and fate of TBBPA in pure culture of Pseudomonas sp. strain CDT

Soil contamination with tetrabromobisphenol A(TBBPA) has caused great concerns;however, the presence of heavy metals and soil organic matter on the biodegradation of TBBPA is still unclear. We isolated Pseudomonas sp. strain CDT, a TBBPA-degrading bacterium, from activated sludge and incubated it with ~(14)C-labeled TBBPA for 87 days in the absence and presence of Cu~(2+)and humic acids(HA). TBBPA was degraded to organic-solvent extractable(59.4% ± 2.2%) and non-extractable(25.1% ± 1.3%) metabolites,mineralized to CO_2(4.8% ± 0.8%), and assimilated into cells(10.6% ± 0.9%) at the end of incubation. When Cu~(2+)was present, the transformation of extractable metabolites into non-extractable metabolites and mineralization were inhibited, possibly due to the toxicity of Cu~(2+)to cells. HA significantly inhibited both dissipation and mineralization of TBBPA and altered the fate of TBBPA in the culture by formation of HA-bound residues that amounted to 22.1% ± 3.7% of the transformed TBBPA. The inhibition from HA was attributed to adsorption of TBBPA and formation of bound residues with HA via reaction of reactive metabolites with HA molecules, which decreased bioavailability of TBBPA and metabolites in the culture. When Cu~(2+)and HA were both present, Cu~(2+)significantly promoted the HA inhibition on TBBPA dissipation but not on metabolite degradation. The results provide insights into individual and interactive effects of Cu~(2+)and soil organic matter on the biotransformation of TBBPA and indicate that soil organic matter plays an essential role in determining the fate of organic pollutants in soil and mitigating heavy metal toxicity.     

Determination of 15 phthalate esters in air by gas-phase and particle-phase simultaneous sampling

Based on previous research, the sampling and analysis methods for phthalate esters (PAEs) were improved by increasing the sampling flow of indoor air from 1 to 4 L/min, shortening the sampling duration from 8 to 2 hr. Meanwhile, through the optimization of chromatographic conditions, the concentrations of 9 additional PAE pollutants in indoor air were measured. The optimized chromatographic conditions required a similar amount of time for analysis as before, but gave high responsivity, the capability of simultaneously distinguishing 15 kinds of PAEs, and a high level of discrimination between individual sample peaks, as well as stable peak generation. The recovery rate of all gas-phase and particle-phase samples of the 15 kinds of PAEs ranged from 91.26% to 109.42%, meeting the quantitative analysis requirements for indoor and outdoor air sampling and analysis. For the first time, investigation of the concentration levels as well as characteristics of 15 kinds of PAEs in the indoor air from four different traffic micro-environments (private vehicles, busses, taxis and subways) was carried out, along with validation of the optimized sampling and analytical method. The results show that all the 9 additional PAEs could be detected at relatively high pollution levels in the indoor air from the four traffic micro-environments. As none of the pollution levels of the 15 kinds of PAEs in the indoor air from the 4 traffic micro-environments should be neglected, it is of great significance to increase the types of PAEs able to be detected in indoor air.     

Quantifying public health benefits of environmental strategy of PM2.5 air quality management in Beijing–Tianjin–Hebei region, China

In 2013,China issued "Air Pollution Prevention and Control Action Plan(Action Plan)" to improve air quality.To assess the benefits of this program in Beijing-Tianjin-Hebei(BTH)region,where the density of population and emissions vary greatly,we simulated the air quality benefit based on Ben MAP to satisfy the Action Plan.In this study,we estimate PM_(2.5) concentration using Voronoi spatial interpolation method on a grid with a spatial resolution of 1 × 1 km~2.Combined with the exposure-response function between PM_(2.5) concentration and health endpoints,health effects of PM_(2.5) exposure are analyzed.The economic loss is assessed by using the willingness to pay(WTP) method and human capital(HC) method.When the PM_(2.5) concentration falls by 25% in BTH and reached 60 μg/m~3 in Beijing,the avoiding deaths will be in the range of 3175 to 14051 based on different functions each year.Of the estimated mortality attributable to all causes,3117 annual deaths were due to lung cancer,1924 – 6318 annual deaths were due to cardiovascular,and343 – 1697 annual deaths were due to respiratory.Based on WTP,the estimated monetary values for the avoided cases of all cause mortality,cardiovascular mortality,respiratory mortality and lung cancer ranged from 1110 to 29632,673 to 13325,120 to 3579,1091 to 6574 million yuan,respectively.Based on HC,the corresponding values for the avoided cases of these four mortalities were 267 to 1178,161 to 529,29 to 143 and 261 million yuan,respectively.     

Predicting vehicle fuel consumption patterns using floating vehicle data

The status of energy consumption and air pollution in China is serious. It is important to analyze and predict the different fuel consumption of various types of vehicles under different influence factors. In order to fully describe the relationship between fuel consumption and the impact factors, massive amounts of floating vehicle data were used. The fuel consumption pattern and congestion pattern based on large samples of historical floating vehicle data were explored, drivers'' information and vehicles'' parameters from different group classification were probed, and the average velocity and average fuel consumption in the temporal dimension and spatial dimension were analyzed respectively. The fuel consumption forecasting model was established by using a Back Propagation Neural Network. Part of the sample set was used to train the forecasting model and the remaining part of the sample set was used as input to the forecasting model.     

流体剪切与超声空化破解剩余污泥的参数优化

为提高剩余污泥的破解效果并降低能耗,采用FS（fluid shear,流体剪切）、UC（ultrasonic cavitation,超声空化）、FS和UC联合工艺（FS-UC,UC-FS）破解剩余污泥,并应用单因素试验结合响应面法对联合工艺进行优化.结果表明:FS对剩余污泥破解效果一般,只在开始阶段具有较好效果,随作用时间延长,破解效果未有显著提高甚至下降.UC对剩余污泥破解效果明显,随作用时间延长,破解效果显著提升,但能耗也随之增大,EDR（energy disintegration ratio,效能比）明显下降.相同作用时间下,UC破解效果优于FS破解效果,UC破解剩余污泥的DD_COD（degree of disintegration,破解率）与EDR均明显高于FS方法.单因素试验得出的较优FS作用时间范围为2~8 min,较优UC作用时间范围为5~15 min.响应面法试验结果显示,联合工艺的剩余污泥破解效果和能量利用率均优于单一方法,联合工艺中FS-UC工艺的破解效果优于UC-FS工艺.FS-UC工艺的最佳参数:FS处理5.6 min再UC处理15.0 min,该条件下剩余污泥实际DD_COD为50.8%,EDR为26.8%.UC-FS工艺的最佳参数:先UC作用15.0 min再FS作用7.8 min,该条件下剩余污泥实际DD_COD为36.5%,EDR为17.1%.研究显示,以DD_COD和EDR为指标,4种工艺的高效性顺序为FS-UC > UC-FS > UC > FS,其中FS-UC工艺具有能耗低、破解效率高的特点,是4种工艺中剩余污泥破解效果最好的一种工艺.