理化因素对脱氮硫杆菌自养反硝化的影响

从连续运行的UASB反应器厌氧污泥中分离得到一株脱氮硫杆菌T.d.a,采用分批摇床试验,采用脱氮硫杆菌标准培养基,以硫代硫酸钠为硫源,研究pH值、温度、氮源(NO3--N,NH4+-N)、能源(S2O32-)、碳源(HCO3-)、葡萄糖、无机盐(P, Mg2+, Fe2+)对该菌株自养反硝化的影响.结果表明,在pH6.5~8.0,温度20~35℃的范围内,T.d.a对NO3--N均有较高的去除速率,其最佳反硝化pH值为7.04,温度为27.40℃.T.d.a对554mg/L的NO3--N对T.d.a有一定的抑制作用;T.d.a反硝化所需NH4+-N的限制浓度为2.62mg/L;S2O32-浓度对T.d.a反硝化的影响主要取决于其与NO3-的比例关系,在NO3-过量的情况下,NO3--N去除率与加入的S2O32-量成近似的正比关系.T.d.a以HCO3-作为无机碳源时其限制浓度为29.05mg/L;0~2000mg/L的葡萄糖对NO3--N去除率没有明显影响.P和Mg2+的限制浓度分别为0.034,0.059mg/L,Fe2+的限制浓度低于0.058mg/L.     

危险废物焚烧设施二噁英类排放特征及周边土壤污染调查

调查了13座不同类型的危险废物焚烧设施及二噁英类排放模式及部分设施土壤的污染水平.结果表明,排放浓度同焚烧处理量没有显著的关系.4—6氯代PCDD/Fs和7—8氯代PCDD/Fs呈现出了不同的排放特征.4—6氯代PCDF/PCDD比值为60.58±1.98(95%置信区间),较通用的总PCDF/总PCDD比值更适于描述危险废物焚烧设施二噁英排放的特征.使用PCA及聚类分析方法将设施排放模式归类为3种模式.分布模式同焚烧设施炉型、处理量以及尾气处理方式等因素相关性并不显著.2,3,4,7,8PeCDF对I-TEQ的贡献为35%—45%,并与I-TEQ具有很高的相关性.厂区土壤中二噁英浓度水平约为8—14ngI-TEQ.kg-1,周边土壤浓度为1—4ngI-TEQ.kg-1左右,均处于较低水平,调查设施周边土壤的使用目前尚无明显风险.危险废物设施对周边土壤的环境风险需要进一步评估.     

厌氧污泥对萘和联苯吸附性能实验

以联苯和萘为研究目标,分别进行了厌氧污泥对这两种有机物单独及混合存在条件下的吸附试验,并考察了双模式模型(分配作用加表面吸附)对厌氧污泥吸附有机物的适用性.研究发现,联苯或萘单独存在时,厌氧污泥对其吸附的实验结果与双模式模型基本吻合;当两种物质同时存在时,实验结果表明在竞争溶质浓度较低的情况下,较低浓度联苯和萘没有表现出明显的竞争作用.此外,还考察了高含盐量对厌氧污泥吸附萘及联苯性能的影响,发现含盐量对其影响不显著,双模式模型在高含盐量的情况下仍然适用.     

Analysis of time-scaling properties in forest-fire sequence observed in Italy

The investigation of the temporal fluctuations in forest fires is an important topic in the context of environmental sciences. Time-scaling scale-invariant methodologies have been used to characterize the temporal properties of forest-fire sequences detected in the Italian territory. Our findings reveal that the fire sequences can be considered as fractal processes with a high degree of time-clusterization of the events. The time-clustering phenomenon is clearly visible from timescales of order of days. Furthermore the fire sequences observed with decreasing latitude tend to be more time-clusterized.     

Policy relevance of three integrated assessment tools—A comparison with specific reference to agricultural policies

The Common Agricultural Policy (CAP), a system of market support instruments, direct income transfers, and rural development measures, has been put through an ongoing reform process in recent decades. This paper introduces three policy impact assessment tools (SIAT, SEAMLESS-IF, MEA-Scope tool) and analyses how these tools have responded to a number of challenges for integrated assessment modelling as reported in the international literature. Significant progress has been made with regard to modelling linkages whereas other challenges, particularly those related to issues of scale and uncertainty management, require further efforts. It is also analysed which CAP instruments are represented and what kinds of effects can be analysed at different scales. Market instruments and direct payments are comparatively well represented, while the ability to model rural development measures is mostly beyond the scope of these tools. Because each tool has found a different solution for coping with the common challenges of integrated assessment modelling, the choice of one of the tools for a particular application depends strongly on the policy questions being asked. The SIAT provides the big picture via its ability to represent broad changes in policy instruments with EU-wide cross-sector impacts. The most comprehensive analysis of agricultural policy instruments can be obtained with SEAMLESS-IF. The MEA-Scope tool complements the other two approaches with detailed regional profiles.     

How humans shape wolf behavior in Banff and Kootenay National Parks, Canada

This paper describes the conceptualization and implementation of an agent-based model to investigate how varying levels of human presence could affect elements of wolf behavior, including highway crossings; use of areas in proximity to roads and trails; size of home ranges; activities, such as hunting, patrolling, resting, and feeding pups; and survival of individuals in Banff and Kootenay National Parks, Canada. The model consists of a wolf module as the primary component with five packs represented as cognitive agents, and grizzly bear, elk, and human modules that represent dynamic components of the environment. A set of environmental data layers was used to develop a friction model that serves as a base map representing the landscape over which wolves moved. A decision model was built to simulate the sequence of wolf activities. The model was implemented in a Java Programming Language using RePast, an agent-based modeling library. Six months of wolf activities were simulated from April 16 to October 15 (i.e., a season coherent with regard to known wolf behaviors), and calibrated with GPS data from wolf radiocollars (n = 15) deployed from 2002 to 2004. Results showed that the simulated trajectories of wolf movements were correlated with the observed trajectories (Spearman's rho 0.566, P < 0.001); other critical behaviors, such as time spent at the den and not traveling were also correlated. The simulations revealed that wolf movements and behaviors were noticeably affected by the intensity of human presence. The packs’ home ranges shrank and wolves crossed highways less frequently with increased human presence. In an extreme example, a wolf pack whose home range is traversed by a high-traffic-volume highway was extirpated due to inability to hunt successfully under a scenario wherein human presence levels were increased 10-fold. The modeling prototype developed in this study may serve as a tool to test hypotheses about human effects on wolves and on other mammals, and guide decision-makers in designing management strategies that minimize impacts on wolves and on other species functionally related to wolves in the ecosystem.     

我国低碳城市建设水平及潜能比较

面对国际发展低碳经济大趋势和世界各国低碳发展指标的强力约束,研究探讨了低碳城市建设的概念和关联性因素,包括：经济增长、产业结构、能源结构、能源效率、交通体系、消费方式、碳汇发展和制度创新等。尝试构建了低碳城市建设水平测度指标体系并比较分析了我国一些主要城市低碳发展水平和潜能,以期加快我国低碳城市建设,促使我国从传统经济发展方式向低碳经济发展方式转型。     

天津市工业源污染物排放标准的优选

环境标准作为改善环境质量行之有效的手段,是实施污染减排的重要途径。针对天津市地方污染物排放标准的现状及问题,以天津市工业污染源为研究对象,从大气和水两方面入手,采用系统的数据分析方法,甄选出大气、水污染物中贡献率较大的行业以及特征污染因子的典型污染行业,从而提出天津市地方污染物排放标准制定的方向。     

辽宁省农用地质量空间分布格局及影响因素研究

采用GIS技术、地统计学分析和景观生态学方法对辽宁省农用地质量的空间分布规律及其多样性、均匀度、集中度、优势度等进行研究,结果表明：辽宁省农用地质量的区域分异明显,等别表现出由辽西低山丘陵区和辽东山地丘陵区向中部平原区的递增规律。探讨农用地质量空间格局的影响因素,发现农用地自然质量空间分布格局主要受到地带性因素与大尺度的非地带性因素的控制,农用地利用质量和经济质量空间分布格局受到人类活动的影响显著。     

区域农田生态系统生产力的时空格局及其影响因子研究——以山东省为例

在统计数据的基础上,以山东省为例,利用模型量化了农田生态系统净初级生产力（NPP）,并研究了农田生态系统NPP的时空格局及其影响因素。研究发现,2000—2006年间,山东省农田生态系统NPP在时间序列上整体呈上升的趋势,由2000年的476.5g·m-2·a-1（以C计）上升到2006年的544.2g·m-2·a-1（以C计）。空间格局中以鲁东、鲁中和鲁南较高,鲁西南和鲁北较低。各地市中以枣庄最高,为691g·m-2·a-1（以C计）;东营最低,约424.4g·m-2·a-1（以C计）。另外,莱芜、临沂及菏泽等地也相对偏低。通过对影响农田生态系统NPP的自然因子和人为因子分别进行主成分分析发现：气候因子中对山东省农田生态系统NPP贡献最大的为降水;人为因子中以农膜的贡献最大,其次为农药、机械、化肥,而劳动力的贡献则随着科技的发展而降低,人口密度的过大对农田生态系统生产力具有较大的负面影响。