循环经济理论思索

循环经济是对近现代人类社会长期、大规模、高强度、未善待大自然的开发活动导致自然资源和生态环境逼近其耐受极限而进行反思的产物.从经济-社会-科技-自然多元复合人工自组织系统角度,研究了循环经济的科学内涵,指出循环经济是建立在组织结构协同基础上的物质循环与能量梯级利用,是集约经济的高级形态和理想模式.针对循环经济包含的若干属性特征,论述了5个基本理论问题,包括守恒与平衡、循环与协调、互动整合与倍增效应、聚集经济与产业集群、生态学基本原理应用和生态系统服务.并就生态工业系统规划设计涉及的基本方法、关键环节、人力投入等给出了政策建议.      

逆转录-聚合酶链反应(RT-PCR)技术同时检测水中多种肠道病毒

建立了一种利用通用引物RT-PCR技术检测水中肠道病毒的方法.利用脊髓灰质炎病毒1～3型,柯萨奇病毒B3型作为参考病毒株,根据肠道病毒RNA5′非编码区中具有高度同源性的序列来设计通用引物.比较了M-MLV酶和AMV酶的逆转录效果,AMV酶能够成功地从地表水和生活污水中逆转录病毒RNA,更适于实际应用.对比研究了PCR过程中的退火温度,c(Mg2＋)等因素对RT-PCR检测结果的影响,选择退火温度55　℃,c(Mg2＋)为2　mmol/L的反应条件,优化了RT-PCR检测方法.通过检测水样中接种的连续稀释的病毒,确定了该检测方法的灵敏度为38　CCID₅₀.考察人工污染的地表水、污水、二级处理出水样品发现,检测灵敏度基本一致.该方法可应用在实际环境的肠道病毒检测中.      

被动式采样器在大区域大气VOC监测中的应用

应用VOC被动式采样器监测了地中海东部塞浦路斯岛大气中挥发性有机化合物(volatile organic compounds,VOC)的浓度。通过岛上设置的80个VOC采样点对苯,甲苯,对、邻、间二甲苯(Benzene、Toluene、o-xylene、m,p-xylene,BTX)数次采样及分析结果表明,其被动采样器中BTX回收率>95%,BTX平行实验的相对标准偏差<6.28%,采样和分析方法准确。得到的污染物分布图较准确地反映了塞浦路斯岛实际污染情况。     

珠江三角洲地区大气中有机氯农药的被动采样观测

利用PUF被动采样装置,对珠江三角洲地区大气中有机氯农药(OCPs)进行监测.结果显示,广东省大气中有机氯农药主要是滴滴涕(DDTs)、六六六(HCH)及氯丹(Chlordane),其中DDTs约占总OCPs的54.5%;香港大气中农药残留主要是氯丹和DDTs,氯丹约占总含量的51.3%.珠三角地区大气中有机氯农药空间分布差异明显(580-5500pg·m-3),香港平均浓度远远低于广东省.另外,广东省仍有工业DDT在使用,造成广东省大气中有"新"的工业DDT输入;而三氯杀螨醇是香港大气中DDT高含量的重要来源;广东省和香港HCH主要源于林丹使用的残留,香港的Eastern及Tsuen Wan源于工业六六六使用的残留;珠江三角洲所有采样点的HCB含量较低,大气中HCB少量残留可能是HCB作为药物中间体的化学合成及HCB在大气中长距离传输的结果.     

FCR多级接触氧化系统处理乳品工业废水的研究

为提高乳品工业废水生物处理的去污脱氮能力,以新型螺旋状纤维填料作为载体,采用多级氧化槽内不同种类微生物形成的食物链系统（food chain reactor）,详细考察了不同水力停留时间COD、TN、NH^＋₄-N、TP等的去除率及其去除机理,并对污泥减量化效果进行了初步探讨.结果表明,当进水COD为842～1 843 　mg/L、TN为36.3～92.2 　mg/L、NH^＋₄-N为30.1～52.1 　mg/L,HRT=6　h时,系统COD的平均去除率达到93.3%;TN和NH⁺₄-N的去除效果显著,其平均去除率分别达到73.3%和80.7%,出水COD、TN、NH⁺₄-N平均值分别为79.4　mg/L、9.6 　mg/L、6.1　mg/L,均低于《污水综合排放标准》（GB 8978-2002）的一级标准.该系统不仅具有较高的去污脱氮效果,而且产生的剩余污泥量极少,其污泥产率的平均值为7.7%.该系统运行费用低,操作管理方便,长期运行稳定,可应用于城市污水、中高浓度有机废水（如餐厅污水、食品工业废水）等的处理.     

Multi-stage sampling for large scale natural resources surveys: a case study of rice and waterfowl

Large-scale sample surveys to estimate abundance and distribution of organisms and their habitats are increasingly important in ecological studies. Multi-stage sampling (MSS) is especially suited to large-scale surveys because of the natural clustering of resources. To illustrate an application, we: (1) designed a stratified MSS to estimate late autumn abundance (kg/ha) of rice seeds in harvested fields as food for waterfowl wintering in the Mississippi Alluvial Valley (MAV); (2) investigated options for improving the MSS design; and (3) compared statistical and cost efficiency of MSS to simulated simple random sampling (SRS). During 2000-2002, we sampled 25-35 landowners per year, 1 or 2 fields per landowner per year, and measured seed mass in 10 soil cores collected within each field. Analysis of variance components and costs for each stage of the survey design indicated that collecting 10 soil cores per field was near the optimum of 11-15, whereas sampling >1 field per landowner provided few benefits because data from fields within landowners were highly correlated. Coefficients of variation (CV) of annual estimates of rice abundance ranged from 0.23 to 0.31 and were limited by variation among landowners and the number of landowners sampled. Design effects representing the statistical efficiency of MSS relative to SRS ranged from 3.2 to 9.0, and simulations indicated SRS would cost, on average, 1.4 times more than MSS because clustering of sample units in MSS decreased travel costs. We recommend MSS as a potential sampling strategy for large-scale natural resource surveys and specifically for future surveys of the availability of rice as food for waterfowl in the MAV and similar areas.     

Determination of Frequency for Remeasuring Ground and Vegetation Cover Factor Needed for Soil Erosion Modeling

Determining a remeasurement frequency of variables over time is required in monitoring environmental systems. This article demonstrates methods based on regression modeling and spatio-temporal variability to determine the time interval to remeasure the ground and vegetation cover factor on permanent plots for monitoring a soil erosion system. The spatio-temporal variability methods include use of historical data to predict semivariograms, modeling average temporal variability, and temporal interpolation by two-step kriging. The results show that for the cover factor, the relative errors of the prediction increase with an increased length of time interval between remeasurements when using the regression and semivariogram models. Given precision or accuracy requirements, appropriate time intervals can be determined. However, the remeasurement frequency also varies depending on the prediction interval time. As an alternative method, the range parameter of a semivariogram model can be used to quantify average temporal variability that approximates the maximum time interval between remeasurements. This method is simpler than regression and semivariogram modeling, but it requires a long-term dataset based on permanent plots. In addition, the temporal interpolation by two-step kriging is also used to determine the time interval. This method is applicable when remeasurements in time are not sufficient. If spatial and temporal remeasurements are sufficient, it can be expanded and applied to design spatial and temporal sampling simultaneously.     

硝化悬浮填料塔中氨氧化细菌群落稳定性特征分析

利用PCR-DGGE分析技术,对于化学生物絮凝处理工艺中悬浮填料塔的氨氧化细菌(AOB)群落进行了研究。主要考察了曝气强度和水力停留时间2个运行参数调整的情况下,系统AOB群落结构的变化。生物膜样品直接取自硝化填料塔,多维尺度(MDS)方法用于DGGE电泳图谱的分析,分析结果以二维图形向量的方式显示,结果表明,曝气强度和水力停留时间均对AOB群落有一定的影响,主要的AOB种类在运行过程中基本不变,系统对于运行条件具有良好的稳定性。     

碳责任账户的目标原则、分配逻辑与框架构建：账户建立

随着全球环境问题日趋严重,企业和消费者日益认识到减缓气候变化的紧迫性。作为经济活动的主要参与者,减少温室气体排放已经成为任何单个企业及其供应链的巨大挑战。供应链的所有参与者都需要为气候减缓做出努力。现有的碳排放责任核算大多从企业的生产方面入手。最终消费者作为供应链的重要参与者,是所有生产者的最终服务对象,同样具有不可忽视的碳减排作用以及应承担的碳减排责任。本文提出以产品为导向,考虑产品生产过程中的直接碳排放和间接碳排放,建立产品碳排放基准值,对基于供应链的所有参与主体进行责任分配,进而建立基于供应链的碳责任账户。本文构建的责任体系框架具有更广泛、更有前景的应用潜力。     

基于复杂网络的燃气管线破裂灾害链风险分析*

为提高燃气管线突发事件应急处置决策水平和应急响应能力及效率,采用复杂网络理论和灾害链演化机理对燃气管线破裂灾害事件影响进行耦合分析,构建燃气管线破裂灾害链网络和风险评估模型,并计算得出燃气管线破裂灾害链风险度。为更准确地表达无传播路径的灾害事件之间的关系,将灾害网络中所有最短路径长度的最大值作为其最短路径长度,计算表明这种算法更符合灾害传播实际情况。结果表明:通过燃气管线破裂灾害链风险分析,能够为燃气管线灾害风险控制措施和方案制定提供参考,有利于提高燃气管线破裂灾害事件的应急处置能力和决策水平。