亚青会期间南京市气溶胶中OC和EC的粒径分布

采用Anderson 9级撞击式采样器和DRI Model 2001A热/光碳分析仪对南京2013年8月10~28日亚青会期间不同粒径段气溶胶中有机碳(OC)和元素碳(EC)的质量浓度进行了观测分析.结果表明,51.55%和54.81%的OC和EC富集于粒径<1.1μm的细粒子中,亚青会期间OC和EC的最大浓度分别位于0~0.43μm和0.43~0.65μm粒径段,占总浓度的比例分别为20.90%±5.02%和22.68%±9.90%.PM1.1、PM1.1~2.1和PM2.1~10中OC和EC的浓度在亚青会期间比亚青会前分别减少了43.44%~56.17%和59.17%~73.55%.亚青会期间OC的谱分布没有变化,均为双峰型分布;EC的谱分布由双峰型变为单峰型.观测期间不同粒径段的EC和OC具有较好的同源性.亚青会前OC和EC主要来自汽车尾气;亚青会期间PM1.1中OC和EC主要来自汽车尾气,PM1.1~2.1和PM2.1~10中OC和EC主要来自汽车尾气和燃煤.     

重金属抗性解磷细菌的磷溶解特性研究

从湖南省湘西州花垣县的铅锌矿表层土壤中,筛选出两株具有重金属抗性和解磷特性的细菌T PSB1和T PSB2.通过16S rRNA基因序列比对,分别鉴定为嗜麦芽寡养单胞菌(Stenotrophomonas maltophilia)和唐菖蒲伯克霍尔德菌(Burkholderia gladioli).T PSB1和T PSB2在含有难溶性无机磷液体培养基中,其上清液的可溶性磷含量最高分别达到了402.9 mg·L-1和589.9 mg·L-1;在难溶性有机磷固体和液体培养基中,固体平板上均出现解磷圈,而液体培养基上清液中,可溶性磷含量也分别达到了2.97 mg·L-1和4.69 mg·L-1.另外,两株细菌对重金属Zn2+的抗性最高,在其浓度为2000 mg·L-1固体和液体培养基条件下均可以生长,磷溶解浓度分别为114.8 mg·L-1和125.1 mg·L-1.而在含铬和铅的浓度为1 000 mg·L-1的液体培养基中,两株细菌同样表现出重金属抗性.在Pb2+浓度为1000 mg·L-1的液体培养基中,磷溶解浓度分别达到了57.9 mg·L-1和71.7 mg·L-1;而在Cr2+浓度为1000 mg·L-1的培养基中磷溶解浓度分别为60.1 mg·L-1和98.4 mg·L-1.     

自然光照对淹水条件下三峡库区消落带典型土壤磷释放影响

为研究淹水条件下光照对土-水界面磷释放的影响,以三峡库区消落带典型土壤为对象,通过室内自然光照试验,讨论了铁还原及有机质降解对磷释放的影响,分析光照对淹水土壤磷释放的影响机制.结果表明,光照对淹水土壤磷释放存在一定程度的抑制作用,光照作用下淹水紫色潮土上覆水体中TP浓度范围为0.018~0.033 mg·L-1,避光处理为0.02~0.057mg·L-1,灰棕紫泥光照下TP浓度范围为0.028~0.045 mg·L-1,避光处理为0.04~0.084 mg·L-1.光照引起淹水土壤中铁氧化物的变化可能是光照抑制磷释放的重要原因.光照导致土壤中铁氧化物饱和程度降低,铁还原和无定形铁生成受阻进一步加深了光照对磷释放的抑制影响.CO2和CH4反映淹水土壤有机质分解情况,光照降低有机碳的转化效率,加速土壤中无机电子受体的消耗,解释了光照作用下铁氧化物的变化.由此可见,光照对淹水土壤磷释放的抑制与淹水土壤中铁还原和有机质分解密切相关.     

Optimization of the recovery of plastics for recycling by density media separation cyclones

Material recovery processes are presented as the optimum option for recycling plastic wastes as a means of recovering hydrocarbon resources. There exist a large variety of automated material recovery processes for recycling of such wastes but each with significant limitations. Of these, the separation based on differences in densities is advocated as the optimum process either for producing recycled products or preparing wastes for subsequent recovery processing.Density separation processes based on cyclone type density media separation (DMS) is presented as an important, potential method for increasing plastics recycling process capacities. It is demonstrated to have the capacity to separate a significantly larger range of particle sizes than those presently processed industrially. The mathematical relationship for the prediction of quality of typical LARCODEMS type density media separations by particle size and density as expressed by the Ecart Probable is presented.A proposed device configuration is presented for density media separation to optimize the recovery and purity of both density fractions produced. It is also suggested that to be economically viable, a large scale of operation is required for industrial plastics recycling operations recovering and producing a number of different plastics with a purity to be used as a substitute for virgin material.     

Household organic waste composting using bins with different types of passive aeration

The objective of this study was to study the performances of six 200-L polyethylene bins, each with different design for passive aeration to organic wastes composting. Food scraps and dry leaves (1.6 kg) were added to each bin once a day until the bin was full. Temperatures at the middle portion were measured daily. The compost from each bin was taken once a week for 120 days for analysis of C, N, volatile solids, and a germination index once a week for 120 days. After 120 days, the compost sample from each bin was taken to determine the mass reduction, size distribution, CEC, N, P and K values. The results showed that the temperatures inside the bins were in the ranges of 24 °C-57 °C. The composts in all bins were found to be stable at around 56-91 days. The wastes decayed fastest in bins with lateral and vertical systems of natural ventilation. It took about two months to stabilize the organic wastes, with a 59-62% decrease of mass. The C/N ratio, CEC, N, P, and K values of the final composts were 14.8-16.0, 66-68 cmol/kg, and 1.26-1.50% N, 0.52-0.56% P₂O₅ and 1.66-1.92% K₂O, respectively.     

沼液利用途径分析

沼液是畜禽粪便厌氧发酵后的残留液,其中包含的矿物质丰富,如对其进行合理利用,将给人类带来一定的经济价值;如不妥善处置,沼液的随意排放将引起湖泊、河流富营养化等环境污染问题.我国沼液的主要利用方式包括直接归田、沼液浸种、叶面肥、饲料添加剂等,其中直接归田是当前沼液最主要的利用方式,但沼液直接归田也存在很大的环境风险.因此,开发低成本、高效益的沼液安全利用途径是我国今后研究的重要方向.     

大体积水中痕量POPs的联动采集装置及其性能评价

天然水体中的痕量持久性有机污染物(POPs)的定量分析通常需要采集大体积水样.针对大体积水样在过滤和吸附富集过程中滤膜易堵塞且耗时费力的缺点,研制了一种固液分离过滤-吸附富集联动装置.该装置主要由粗过滤器、离心分离屏、倒置微孔过滤器、固相吸附柱、流速控制阀和真空泵组成.与传统的滤膜过滤方式相比,其过滤效率提高了约1.5...     

The effects of forest harvest intensity in combination with wind disturbance on carbon dynamics in Lake States Mesic Forests

Total forest carbon (C) storage is determined by succession, disturbances, climate, and the edaphic properties of a site or region. Forest harvesting substantially affects C dynamics; these effects may be amplified if forest harvesting is intensified to provide biofuel feedstock. We tested the effects of harvest intensity on landscape C using a simulation modeling approach that included C dynamics, multiple disturbances, and successional changes in composition. We developed a new extension for the LANDIS-II forest landscape disturbance and succession model that incorporates belowground soil C dynamics derived from the CENTURY soil model. The extension was parameterized and calibrated using data from an experimental forest in northeastern Wisconsin, USA. We simulated a 9800 ha forested landscape over 400 years with wind disturbance combined with no harvesting, harvesting with residual slash left on site (‘standard harvest’), and whole-tree harvesting. We also simulated landscapes without wind disturbance and without eastern hemlock (Tsuga canadensis) to examine the effects of detrital quantity and quality on C dynamics. We estimated changes in live C, detrital C, soil organic C, total C, and forest composition. Overall, the simulations without harvesting had substantially greater total C and continued to sequester C. Standard harvest simulations had more C than the whole tree harvest simulations. Under both harvest regimes, C accrual was not evident after 150 years. Without hemlock, SOC was reduced due to a decline in detritus and a shift in detrital chemistry. In conclusion, if the intensity of harvesting increases we can expect a corresponding reduction in potential C storage. Compositional changes due to historic circumstances (loss of hemlock) may also affect forest C although to a lesser degree than harvesting. The modeling approach presented enabled us to consider multiple, interacting drivers of landscape change and the subsequent changes in forest C.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.