Impact of Climate Change on Ecological Quality Indicators and Biogeochemical Fluxes in the Baltic Sea: A Multi-Model Ensemble Study

Multi-model ensemble simulations using three coupled physical-biogeochemical models were performed to calculate the combined impact of projected future climate change and plausible nutrient load changes on biogeochemical cycles in the Baltic Sea. Climate projections for 1961-2099 were combined with four nutrient load scenarios ranging from a pessimistic business-as-usual to a more optimistic case following the Helsinki Commission's (HELCOM) Baltic Sea Action Plan (BSAP). The model results suggest that in a future climate, water quality, characterized by ecological quality indicators like winter nutrient, summer bottom oxygen, and annual mean phytoplankton concentrations as well as annual mean Secchi depth (water transparency), will be deteriorated compared to present conditions. In case of nutrient load reductions required by the BSAP, water quality is only slightly improved. Based on the analysis of biogeochemical fluxes, we find that in warmer and more anoxic waters, internal feedbacks could be reinforced. Increased phosphorus fluxes out of the sediments, reduced denitrification efficiency and increased nitrogen fixation may partly counteract nutrient load abatement strategies.     

土动力参数变异性对深软场地地表地震动参数的影响

采用等效线性化技术考虑土的动力非线性特性,利用一维波传法及SHAKE91软件计算水平成层场地的地震反应,研究了土的动剪模量比和阻尼比与剪应变幅值的关系曲线、土层剪切波速的变异性对深软场地地表峰值加速度及其反应谱的影响。结果表明:土的动剪模量比均值加1倍标准差与阻尼比均值减1倍标准差、动剪模量比均值减1倍标准差与阻尼比均值加1倍标准差的组合对地表峰值加速度的影响最为显著,但对地表加速度反应谱形状的影响不大;土层剪切波速15%的变异性对地表加速度反应谱形状有较大影响;土层剪切波速的变异性对地表加速度和反应谱的影响比动剪模量比和阻尼比变异性的影响更为显著。     

导流参数与SUFR系统硝化及吸磷效果的灰熵分析

导流参数是螺旋升流式反应器系统(SUFR system)重要工艺参数.应用灰关联熵分析方法,分别以SUFR系统好氧区硝化以及吸磷效果为目标,研究导流参数对该系统好氧区影响的相关性以及重要性顺序.试验结果表明,各导流参数对硝化以及吸磷均有着明显的影响.对于硝化而言,导流参数对其影响的强弱顺序为:导流转速＞导流叶片的串联层数＞导流叶片的折角＞d/D;对于吸磷而言,导流参数对其影响的强弱顺序为:导流转速＞导流叶片的折角＞导流叶片的串联层数＞d/D.     

垃圾中典型组分热重分析研究

采用热重分析法研究了不同升温速率下垃圾中典型组分的热失重行为.根据热重分析曲线和实验数据,对不同加热速率条件下垃圾中典型组分的热失重行为进行了比较分析,结果表明,随着升温速率的加大,典型组分TG曲线对应的温度升高.DTG结果与组成成分的性质相关,橡胶塑料类的最大失重速率随着升温速率的加大而升高.纸类不同升温速率下对应的最大失重速度变化不大.     

Bio-SR工艺脱硫净化天然气影响因素试验研究

在对比天然气传统脱硫工艺的基础上,结合 Bio-SR工艺特点,分析了该工艺应用于天然气脱硫净化的可行性.通过单因素实验考察了H2S标准混合气浓度、初始Fe3 浓度、喷淋量、空塔停留时间、pH及压力等因素对脱硫率的影响,初步确定了适宜的控制参数.实验结果表明,该工艺对气量大、低H2S质量浓度(＜1.0 g/m3)的天然气有快速高效的净化作用,出气达到管输天然气标准.     

生物脱臭的机理研究进展及操作参数控制

生物脱臭物质已成为当今恶臭处理研究的主流,文章对近些年来关于生物脱臭理论模型的最新研究进行了综述。主要模型包括吸收-生物膜理论,吸附-生物膜理论,生物膜随片理论。由于操作参数对生物滤床的良好运行起着关键作用,同时介绍了填料、进气流量、进气浓度、湿度等操作参数对生物脱臭的影响。     

Removal of heavy metals from aqueous solution by sawdust adsorption

The adsorption of lead, cadmium and nicel from aqueous solution by sawdust of walnut was investigated. The effect of contact time, initial metal ion concentration and temperature on metal ions removal has been studied. The equilibrium time was found to be of the order of 60 min. Kinetics fit pseudo first-order, second-order and intraparticle diffusion models, hence adsorption rate constants were calculated. The adsorption data of metal ions at temperatures of 25, 45 and 60~C have been described by the Freundlich and Langmuir isotherm models. The thermodynamic parameters such as energy, entropy and enthalpy changes for the adsorption of heavy metal ions have also been computed and discussed. Ion exchange is probably one of the major adsorption mechanisms for binding divalent metal ions to the walnut sawdust. The selectivity order of the adsorbent is Pb（I1）~Cd（II）〉Ni（I1）. From these results, it can be concluded that the sawdust of walnut could be a good adsorbent for the metal ions from aqueous solutions.     

Diurnal variation of number concentration and size distribution of ultrafine particles in the urban atmosphere of Beijing in winter

Number concentration and distribution of airborne particles in the size range 5.6 to 560 um diameter were measured in Beijing for a 15-d period in winter 2005.Daily average number concentrations of nucleation mode(5.6-20 nm),Aitken mode(20-100 nm), and accumulation mode(100-560 nm)particles,and total particles were 17500,32000,4000,and 53500 cm~(-3),respectively.Average particle size distribution was monomodal with a mode diameter of about 40 um at night and bimodal with mode diameters of about 10 and about 40 nm during the daytime.New particle formation events,which were connected to diurnal variation of nucleation mode particles,were observed in more than half of the observation days.The events often started around 10:00-11:00 Chinese Standard Time (CST)and ended up after 3-4 h.Concentrations of Aitken and accumulation mode particles increased from midnight and reached their maxima at about 10:00 CST,and then decreased and became the lowest in the afternoon.Analysis of diurnal cycles in traffic volume and meteorological parameters revealed that the accumulation of the particles in Aitken and accumulation modes in the morning was influenced by formation of an inversion and increase in vehicle emission,and dispersion of such particles in the afternoon was associated with more effective vertical mixing and higher wind speed.     

橡胶坝对河流沉积物氮转化功能基因丰度和营养盐的影响

沉积物氮转化功能微生物是河流脱氮和水体净化的重要生物因素.为探讨橡胶坝对沉积物氮转化功能基因丰度及氮营养盐的影响，本研究以沂河沂水城区蓄水段为研究对象，从橡胶坝前不同距离采集沉积物，利用实时荧光定量PCR（qPCR）方法研究了沉积物的反硝化功能基因（nirS、nirK、nosZ）、厌氧氨氧化功能基因（AMX）和反硝化型甲烷厌氧氧化功能基因（pmoA）的丰度及沉积物营养盐特征.结果表明：橡胶坝促进了沉积物中nirK、nirS、nosZ和pmoA基因的聚集，反硝化功能基因nirK、nirS、nosZ丰度在坝前120 ~330 m范围内较高；橡胶坝促进了沉积物NH4+、NO3-、TN、TP、TOC、有机质（OM）等营养盐的滞留，主要在120 ~360 m区域聚集，多元线性回归模型拟合度较高.相关分析表明，16S rRNA、nirK、nirS、nosZ、pmoA基因丰度与环境因子NH4+、NO3-、TN、OM、TOC、孔隙度呈正相关；PCA分析结果表明，随着沉积物环境因子主成分的增长，氮转化功能基因丰度主成分呈升高趋势.橡胶坝可促进沂河沉积物氮素等营养盐的滞留和氮转化功能微生物的聚集.     

Influence of urban spatial and socioeconomic parameters on PM2.5 at subdistrict level: A land use regression study in Shenzhen, China

The intraurban distribution of PM_2.5 concentration is influenced by various spatial, socioeconomic, and meteorological parameters. This study investigated the influence of 37 parameters on monthly average PM_2.5 concentration at the subdistrict level with Pearson correlation analysis and land-use regression (LUR) using data from a subdistrict-level air pollution monitoring network in Shenzhen, China. Performance of LUR models is evaluated with leave-one-out-cross-validation (LOOCV) and holdout cross-validation (holdout CV). Pearson correlation analysis revealed that Normalized Difference Built-up Index, artificial land fraction, land surface temperature, and point-of-interest (POI) numbers of factories and industrial parks are significantly positively correlated with monthly average PM_2.5 concentrations, while Normalized Difference Vegetation Index and Green View Factor show significant negative correlations. For the sparse national stations, robust LUR modelling may rely on a priori assumptions in direction of influence during the predictor selection process. The month-by-month spatial regression shows that RF models for both national stations and all stations show significantly inflated mean values of R² compared with cross-validation results. For MLR models, inflation of both R² and R²_CV was detected when using only national stations and may indicate the restricted ability to predict spatial distribution of PM_2.5 levels. Inflated within-sample R² also exist in the spatiotemporal LUR models developed with only national stations, although not as significant as spatial LUR models. Our results suggest that a denser subdistrict level air pollutant monitoring network may improve the accuracy and robustness in intraurban spatial/spatiotemporal prediction of PM_2.5 concentrations.