可控湿法氧化聚沉工艺对城市污泥中重金属的稳定化影响

采集了长沙市污水厂的剩余污泥（S1）和湿法氧化聚沉工艺处理的深度脱水污泥（S2）,对比分析了处理前后污泥的形貌变化及重金属Zn、Cu、Pb、Cd、Hg和As的形态分布,初步探讨了重金属稳定化机理,对脱水污泥中重金属Zn、Cu、Pb、Cd、Hg和As进行了稳定性评估.结果表明,脱水污泥中重金属的总量均低于我国污泥农用标准中的酸性限值,符合B级污泥泥质要求.处理后,污泥中Zn、Cu、Pb、Cd、Hg和As主要以硫化物有机结合态和残渣态（稳定态）存在,不稳定态在不同程度上向稳定态发生了转变,Cu、Hg的增幅最大,达21.1%.S2中重金属的生物可利用性较S1都有显著的降低,平均降幅达73.1%,S2中重金属的生物可利用性顺序为：Zn〉Pb〉Cu〉Cd〉As〉Hg.污泥经过湿法氧化聚沉工艺处理后,污泥中重金属Zn、Cu、Pb、Cd、Hg和As得到了明显的稳定化,为污泥后续资源化、安全化提供了科学依据.     

贵州贫困农村室内不同燃料产生PM10的微观特征

应用高分辨率扫描电镜(SEM)和图像分析研究了贵州贫困农村不同燃料类型(拌泥煤、煤、蜂窝煤和柴)产生室内PM10的微观形貌和不同类型颗粒物的数量-粒度、体积-粒度分布.结果表明:不同类型燃料产生的PM10中颗粒物以烟尘及其集合体、矿物颗粒和飞灰为主,烟尘及其集合体均达到72.69%以上;在数量-粒度分布上,以煤和蜂窝煤燃烧产生的PM10中烟尘集合体和燃煤飞灰呈单峰分布;以拌泥煤为燃料产生的室内PM10中烟尘及其集合体呈单峰分布,燃煤飞灰呈双峰分布;以柴为燃料的室内PM10中烟尘及其集合体呈单峰分布.不同类型燃料产生的PM10中颗粒物体积-粒度分布基本呈单峰分布,主要分布在粒径>1.0μm.     

Differences in distributions,assembly mechanisms,and putative interactions of AOB and NOB at a large spatial scale

● Nitrifiers in WWTP were investigated at large spatial scale. ● AOB populations varied greatly but NOB populations were similar among cities. ● Drift dominated both AOB and NOB assembling processes. ● DO did not show a significant effect on NOB. ● NOB tended to cooperate with AOB and non-nitrifying microorganisms. Ammonia-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB) play crucial roles in removing nitrogen from sewage in wastewater treatment plants (WWTPs) to protect water resources. However, the differences in ecological properties and putative interactions of AOB and NOB in WWTPs at a large spatial scale remain unclear. Hence, 132 activated sludge (AS) samples collected from 11 cities across China were studied by utilizing 16S rRNA gene sequencing technology. Results indicated that Nitrosomonas and Nitrosospira accounted for similar ratios of the AOB community and might play nearly equal roles in ammonia oxidation in AS. However, Nitrospira greatly outnumbered other NOB genera, with proportions varying from 94.7% to 99.9% of the NOB community in all WWTPs. Similar compositions and, hence, a low distance–decay turnover rate of NOB (0.035) across China were observed. This scenario might have partly resulted from the high proportions of homogenizing dispersal (~13%). Additionally, drift presented dominant roles in AOB and NOB assembling mechanisms (85.2% and 81.6% for AOB and NOB, respectively). The partial Mantel test illustrated that sludge retention time and temperature were the primary environmental factors affecting AOB and NOB communities. Network results showed that NOB played a leading role in maintaining module structures and node connections in AS. Moreover, most links between NOB and other microorganisms were positive, indicating that NOB were involved in complex symbioses with bacteria in AS.     

轴向与截面非均匀温度场对某固支钢梁最大挠度的影响

目前钢构件火灾响应特性的数值模拟分析一般假设温度场轴向均匀分布,但大空间真实火灾环境下,火源位置的变化往往会导致温度场轴向和截面的非均匀。采用ANSYS有限元分析软件,对某12m长固支钢梁在三面受火情况下的最大挠度进行分析,首先假设温度场轴向非均匀分布,在此基础上进一步假设截面方向也存在非均匀分布,并与轴向均匀温度场下钢梁的最大挠度进行比较。在该文研究条件下可得如下结果：钢梁在轴向非均匀温度场下最大挠度较小,耐火时间增长;对于温度场轴向非均匀分布,截面同时非均匀分布时钢梁最大挠度较大;当温度场轴向非均匀、截面均匀时,火源位置从端部到中间,钢梁最大挠度逐渐减小,在距端部1/4处最大挠度有突增。     

九龙江流域大气氮湿沉降研究

通过2004～2005年对位于我国东南沿海的九龙江流域及周边共17个站点的实地观测,运用GIS技术定量揭示了大气氮湿沉降强度和时空分布特征,并利用氮稳定同位素分析雨水硝态氮的主要来源.结果表明,①17个站点雨水总氮平均浓度为(2.20±1.69)～(3.26±1.37) mg·L-1(以N计,下同),铵态氮、硝态氮和有机氮分别占39%、25%和36%;②雨水氮浓度随降雨强度的增大呈降低趋势,旱季浓度明显大于雨季,降水对大气具有清洗作用;③低δ15N值表明雨水硝态氮主要来源于汽车尾气排放、化石燃料燃烧和化肥施用;④九龙江流域大气氮湿沉降量平均9.9 kg·hm-2,春夏2季约占全年的91%,大气氮湿沉降占沉降总量的66%,揭示了该地区1∶2的大气氮干湿沉降结构.大气氮湿沉降时空差异与降雨量和氮的排放直接相关.     

Simulation on an optimal combustion control strategy for 3-D temperature distributions in tangentially pc-fired utility boiler furnaces

The control of 3-D temperature distribution in a utility boiler fumace is essential for the safe, economic and clean operation of pc-fired fumace with multi-burner system. The development of the visualization of 3-D temperature distributions in pcfired fumaces makes it possible for a new combustion control strategy directly with the fumace temperature as its goal to improve the control quality for the combustion processes. Studied in this paper is such a new strategy that the whole fumace is divided into several parts in the vertical direction, and the average temperature and its bias from the center in every cross section can be extracted from the visualization results of the3-D temperature distributions. In the simulation stage, a computational fluid dynamics(CFD) code served to calculate the 3-D temperature distributions in a furnace, then a linear model was set up to relate the features of the temperature distributions with the input of the combustion processes, such as the flow rates of fuel and air fed into the furnaces through all the bumers. The adaptive genetic algorithm was adopted to find the optimal combination of the whole input parameters which ensure to form an optimal 3-D temperature field in the fumace desired for the operation of boiler. Simulation results showed that the strategy could soon find the factors making the temperature distribution apart from the optimal state and give correct adjusting suggestions.     

Flame propagation mechanisms in dust explosions

To reveal the effects of particle characteristics, including particle thermal characteristics and size distributions, on flame propagation mechanisms during dust explosions clearly, the flame structures of dust clouds formed by different materials and particle size distributions were recorded using an approach combining high-speed photography and a band-pass filter. Two obviously different flame propagation mechanisms were observed in the experiments: kinetics-controlled regime and devolatilization-controlled regime. Kinetics-controlled regime was characterized by a regular shape and spatially continuous combustion zone structure, which was similar to the premixed gas explosions. On the contrary, devolatilization-controlled regime was characterized by a complicated structure that exhibited heterogeneous combustion characteristics, discrete blue luminous spots appeared surrounding the yellow luminous zone. It was also demonstrated experimentally that the flame propagation mechanisms transited from kinetics-controlled to devolatilization-controlled while decreasing the volatility of the materials or increasing the size of the particles. Damköhler number was defined as the ratio of the heating and devolatilization characteristic time to the combustion reaction characteristic time, to reflect the transition of flame propagation mechanisms in dust explosions. It was found that the kinetics-controlled regime and devolatilization-controlled regime can be categorized by whether Damköhler number was less than 1 or larger than 1.     

Experimental study on sediment-copper distributions in hyper-concentrated turbulent solid-liquid system

This study presents a special problem on vertical distribution for sediment and copper in hyper-concentrated turbulent solid-liquid system that is essentially different from the ordinary low-concentrated turbulent system. A resonance type turbulent simulation equipment is used for the experimental study in which a vertically uniform turbulent field of the mixture of loess and water is produced in a testing cylinder with a grille stirrer that moves up and down harmoniously with varying vibration frequencies, in order to compare the variations of the vertical profiles of sediment and copper in low- and hyper-concentratod solid-liquid system, different scenarios for input sediment content ranging from 5 to 800 kg/m^3 was considered in the experimental studies. It was found that solids copper content increases with input sediment content, So, and reaches its peak as So goes to 10 kg/m^3 and then decreases rapidly with increasing input sediment content. Such a behavior is possibly resulted from the joint effect of the specific adsorption of copper on loess, precipitation of carbonate and hydroxide of copper due to high carbonate content in the loess and the so-called ＂particulate concentration effect＂ due to the present of the sediment variation in water. The vertical sediment concentration distribution resulted from the uniform turbulence is generally uniform, but slight non-uniformity does occur as sediment concentration exceeds certain value. However, the vertical concentration distributions of soluble copper seem not to be affected much by the variation of sediment concentrations.     

Discrepancies in the acute versus chronic toxicity of compounds with a designated narcotic mechanism

In this study, it was illustrated that even for certain simple organic compounds with a designated mode of action (MOA) (i.e. narcotic toxicity) unexpected differences in acute and chronic toxicity can be observed. In a first part of the study, species sensitivity distributions (SSDs) based on either acute or chronic toxicity data of three narcotic test compounds (methanol, ethanol and 2-propanol) were constructed. The results of the acute SSDs were as expected for narcotic compounds: rather similar sensitivity and small differences in toxicity were observed among different species. On the contrary, the chronic SSDs of methanol and ethanol indicated larger interspecies variation in sensitivity. Furthermore, the chronic toxicity trend (ethanol > methanol > 2-propanol) was unexpectedly different from the acute toxicity trend (2-propanol > ethanol > methanol) and acute versus chronic extrapolation could not be successfully described for methanol and ethanol using an ACR of 10 (as suggested for narcotic compounds). In contrast to the interspecies approach in the first part of this study, the second part of the study was focused on the assessment of acute and chronic toxicity of the three test compounds in Daphnia magna, which was identified as one of the most sensitive organisms to methanol and ethanol. Here, the differences in acute and chronic toxicity trend were in accordance to the results of the SSDs. The enhancement of membrane penetration due to the small molecular size of methanol and ethanol, in combination with the higher toxicity of their respective biotransformation products were suggested as potential causes of the increased chronic toxicity. Furthermore, it was stressed that larger awareness of these irregularities in acute to chronic extrapolations of narcotic compounds is required and should receive additional attention in further environmental risk assessment procedure.     

Fundamental insights on when social network data are most critical for conservation planning

As declines in biodiversity accelerate, there is an urgent imperative to ensure that every dollar spent on conservation counts toward species protection. Systematic conservation planning is a widely used approach to achieve this, but there is growing concern that it must better integrate the human social dimensions of conservation to be effective. Yet, fundamental insights about when social data are most critical to inform conservation planning decisions are lacking. To address this problem, we derived novel principles to guide strategic investment in social network information for systematic conservation planning. We considered the common conservation problem of identifying which social actors, in a social network, to engage with to incentivize conservation behavior that maximizes the number of species protected. We used simulations of social networks and species distributed across network nodes to identify the optimal state-dependent strategies and the value of social network information. We did this for a range of motif network structures and species distributions and applied the approach to a small-scale fishery in Kenya. The value of social network information depended strongly on both the distribution of species and social network structure. When species distributions were highly nested (i.e., when species-poor sites are subsets of species-rich sites), the value of social network information was almost always low. This suggests that information on how species are distributed across a network is critical for determining whether to invest in collecting social network data. In contrast, the value of social network information was greatest when social networks were highly centralized. Results for the small-scale fishery were consistent with the simulations. Our results suggest that strategic collection of social network data should be prioritized when species distributions are un-nested and when social networks are likely to be centralized.