Nitrate in shallow groundwater in typical agricultural and forest ecosystems in China, 2004-2010

The nitrate-nitrogen(NO 3-N) concentrations from shallow groundwater wells situated in 29 of the Chinese Ecosystem Research Network field stations,representing typical agroand forest ecosystems,were assessed using monitoring data collected between 2004 and 2010.Results from this assessment permit a national scale assessment of nitrate concentrations in shallow groundwater,and allow linkages between nitrate concentrations in groundwater and broad land use categories to be made.Results indicated that most of the NO 3--N concentrations in groundwater from the agroand forest ecosystems were below the Class 3 drinking water standard stated in the Chinese National Standard:Quality Standard for Ground Water(≤ 20 mg/L).Over the study period,the average NO 3--N concentrations were significantly higher in agro-ecosystems(4.1 ± 0.33 mg/L) than in forest ecosystems(0.5 ± 0.04 mg/L).NO 3-N concentrations were relatively higher(> 10 mg N /L) in 10 of the 43 wells sampled in the agricultural ecosystems.These elevated concentrations occurred mainly in the Ansai,Yucheng,Linze,Fukang,Akesu,and Cele field sites,which were located in arid and semiarid areas where irrigation rates are high.We suggest that improvements in N fertilizer application and irrigation management practices in the arid and semi-arid agricultural ecosystems of China are the key to managing groundwater nitrate concentrations.     

微重力波动与燃烧温度变化的研究

本文通过试验飞机抛物线飞行进行了微重力燃烧实验,采集得到微重力条件下一个采样点微重力波动和燃烧温度变化的数据,在此基础上将时间序列预测和神经网络相结合进行了微重力波动与燃烧温度变化的研究,揭示了试验飞机抛物线飞行中微策略波动和采样点燃烧温度变化的规律。     

金沙江底栖真核微生物地理分布特征及生态学机制

真核微生物在生物地球化学循环、维持生态系统健康稳定等方面发挥重要作用.目前关于大型河流真核微生物的地理分布模式和生态学机制仍知之甚少.以我国西南梯级水电开发河流金沙江为研究区域,探讨了底栖真核微生物的地理分布特征及影响因素,解析了真核微生物的种间相互作用关系.结果表明,金沙江底栖真核微生物的α多样性指数沿河流向下表现出先上升后下降的趋势;群落结构和优势属的相对丰度在上游自然河段和梯级大坝河段差异显著.距离衰减分析的结果显示,金沙江底栖真核微生物的群落构建受环境筛选和扩散限制的共同作用;方差分解分析和中性模型的结果进一步表明,其地理分布模式主要受到扩散限制的驱动.共现网络结果表明,相比于上游自然河段,梯级大坝河段的种间竞争关系和网络联通性较弱,说明了底栖真核微生物在上游自然河段的相互作用更强.研究结果补充了我国西南河流底栖真核微生物多样性和地理分布的资料不足,为梯级水电开发河流底栖真核微生物的生态响应提供数据支撑.     

基于数据驱动贝叶斯网络的内河船舶交通事故分析

伴随着我国内河航运的蓬勃发展,内河船舶的行驶安全受到了广泛的关注.将贝叶斯网络引入内河船舶交通事故分析,探究不同事故类型与航道、气候、船舶等方面影响因素之间的关系.首先,以芜湖海事局20132020年间上报的219条内河航运事故船舶数据为基础,抽取样本并使用贝叶斯可视化软件Netica训练得出内河船舶交通事故的贝叶斯网...     

A foundation for developing a methodology for social network sampling

Researchers are increasingly turning to network theory to understand the social nature of animal populations. We present a computational framework that is the first step in a series of works that will allow us to develop a quantitative methodology of social network sampling to aid ecologists in their social network data collection. To develop our methodology, we need to be able to generate networks from which to sample. Ideally, we need to perform a systematic study of sampling protocols on different known network structures, as network structure might affect the robustness of any particular sampling methodology. Thus, we present a computational tool for generating network structures that have user-defined distributions for network properties and for key measures of interest to ecologists. The user defines the values of these measures and the tool will generate appropriate network randomizations with those properties. This tool will be used as a framework for developing a sampling methodology, although we do not present a full methodology here. We describe the method used by the tool, demonstrate its effectiveness, and discuss how the tool can now be utilized. We provide a proof-of-concept example (using the assortativity measure) of how such networks can be used, along with a simulated egocentric sampling regime, to test the level of equivalence of the sampled network to the actual network. This contribution is part of the special issue “Social Networks: new perspectives” (Guest Editors: J. Krause, D. Lusseau and R. James).     

无线传感器网络在环境监测中的应用

介绍了一种基于无线传感器网络的环境监测系统组成及架构,讨论了系统网络节点、网关的硬件设计,并对基于TinyOS的应用程序组件结构和节点工作流程做了说明。     

多环芳烃共代谢对苯并[a]蒽微生物降解的影响及机制

利用¹⁴C同位素示踪技术，研究土壤中菲、蒽、芘3种底物对苯并[a]蒽（BaA）环境归趋的影响，高通量测序解析细菌群落响应.结果表明，3种底物均可以促进BaA的降解，添加蒽作为共代谢底物后，BaA矿化率比对照提高了2.5%，而添加菲、芘时，¹⁴C在土壤的结合态比对照升高4%，达总添加量的31%.共代谢底物改变了细菌共生网络的拓扑结构：添加底物蒽后，网络中的正连接比例显著升高，物种间以共生关系为主；菲、芘作为共代谢底物时，细菌物种间的负连接比例升高，暗示微生物种群竞争变激烈.推测蒽与BaA化合物结构相似并有相近的代谢途径，细菌共生性增强并直接促进了BaA的矿化.     

基于故障树的生物质气化中毒事故BN-LOPA分析

为降低生物质气化中毒事故的概率,本文提出基于故障树的贝叶斯—保护层复合分析法(BN-LOPA),对生物质气化中毒事故进行风险分析。以辽宁省某气化站为例,通过贝叶斯网络计算出该气化站中毒事故发生概率为1.11×10^-4,基于贝叶斯网络推导出中毒事故基本事件的后验概率,得到导致事故发生的故障节点,并对其设置独立防护层,经推导计算,该气化站的气化中毒事故发生概率可降低至5.35×10^-6,风险等级从7级降至5级。结果表明:该气化站增加独立防护层后,符合安全生产的要求。     

基于Abaqus软件的并行计算集群平台构建与优化方法

根据有限元显式算法和隐式算法的特点,研究了岩土工程动力分析并行计算集群系统的硬件要求、集群系统的构建方法,构建了基于EM64T硬件构架、双路Intel Xeon处理器、Linux操作系统和64位Abaqus软件的32CPU并行计算集群平台,测试了存储子系统对集群性能的影响,比较了两种千兆以太网络作为集群子网络的性能优化方法。以地下结构的地震反应分析为例,测试了优化前后该集群系统的计算速度,发现两种以太网络性能优化方法都可以有效提高集群计算速度。列举了该集群系统在深水桥梁基础流固耦合动力分析、地下结构地震反应分析和快速轨道交通环境振动分析中的应用,显示了该集群在显式算法、隐式算法及小规模、大规模数值计算问题中的并行计算效率,证明所构建的Abaqus数值模拟并行计算集群平台能够满足计算规模、计算精度和时效性的要求。     

强化环境质量监测 推进监测事业科学发展

从强化环境质量监测、评价与研究的重要性角度，简述了构建完善的由纵向网、立体网、横向网等3大网络体系构成的环境质量监测预警体系的必要性，提出该体系的构建需尽快完善法律、人才、经费、技术等4大长效保障机制。