北京城乡结合地空气中挥发性有机物健康风险评价

采用低温固体吸附采样,热脱附-气相色谱-质谱方法对北京城乡结合地空气中挥发性有机物（VOCs）进行了观测分析,并利用国际公认的健康风险评价四步法评价模型,对北京城乡结合地空气中挥发性有机物的健康风险进行了初步评价.结果表明,芳香族类的非致癌风险值在10-4～10-1数量级,卤代烃的非致癌风险值在10-4～10-5数量级,挥发性有机污染物的非致癌风险系数〈1,不会对暴露人群健康造成明显的非致癌危害.但苯的致癌指数较高（2.21×10-5）,超过了USEPA的建议值（1×10-6）,可能对人体健康造成潜在危害.在一年四季的健康风险中,冬季VOCs的健康风险最高,秋季次之,夏季最低.     

天津整合资源 地源热泵专委会成立

通讯员报道：天津地源热泵专业委员会成立大会暨节能合作项目签约仪式在天津市政协俱乐部隆重举行。大会由天津市制冷学会、天津市节能协会、天津市可再生能源学会主办,市有关领导和专家参加了此次活动。     

本刊参考文献编排格式

本刊参考文献采用顺序编码制,即在正文中按照参考文献出现的顺序依次编码,将文献序号用方括号[]置于相应段落右上角处。文末参考文献表格式如下:1.期刊文章[序号]作者名(3人以上者,列出前3人,然后加"等"或"et al";外国人,姓列名前,全大写,名缩写,不加     

珠江下游河段沉积物中重金属含量及污染评价

为了解珠江下游出海河道沉积物中重金属含量及各污染物的潜在生态危害程度,用电感耦合等离子质谱法和原子荧光法测定了21个样点沉积物中13种元素的总量,及对底泥中主要重金属污染状况和潜在生态风险进行了评价.结果表明,珠江下游河道总Fe、总Mn含量分别为41 658.73 mg.kg-1和1 104.73 mg.kg-1,微量元素Cr、Co、Ni、Cu、Zn、As、Se、Cd、Sb、Pb和Hg的平均值分别为86.62、18.18、54.10、80.20、543.60、119.55、4.28、10.60、20.26、104.58和0.520 mg.kg-1,地积累指数评价结果显示,表层沉积物重金属污染程度顺序为：Cd〉As≈Zn〉Hg〉Pb≈Cu≈Cr,潜在生态风险程度大小顺序：Cd〉Hg〉As〉Cu〉Pb〉Zn〉Cr,Cd是该水域污染和潜在生态风险最大的元素,单项潜在生态风险与区域综合潜在生态风险一致.珠江下游河道底泥Cd、Hg和Pb污染受输入影响北江大于西江和东江.聚类分析结果表明,研究站位潜在生态风险可分5类,基本反映了站位分布及沉积物环境污染变化特征.总体而言,重金属污染和生态风险程度较高的江段有陈村-沙湾段、陈村-顺德港段及外海-虎跳门段,北江及相关河道污染程度和潜在生态风险指数高于区域其他江段.     

上海城市样带土壤重金属空间变异特征及污染评价

为揭示城市化、工业化等人为活动对土壤环境质量的影响,选择能反映上海城郊乡梯度差异的城市样带,采用地统计学方法对表层土壤样品Cu、Zn、Pb、Cr、Mn共5种重金属的空间变异结构和分布格局进行了分析,并利用单因子指数法和内梅罗综合指数法评价了土壤重金属的污染程度.结果表明:土壤样品Cu、Pb、Zn、Cr、Mn这5种重金属平均含量分别为27.80、28.86、99.36、87.72、556.97 mg.kg-1.表层土壤Cu、Cr、Mn、Pb、Zn均属中等变异,Mn、Cr呈正态分布,Cu、Pb、Zn呈对数正态分布;半方差函数模型拟合结果显示Cu、Pb、Zn、Cr符合线状模型,Mn符合指数模型.通过泛克里格插值得到城市样带表层土壤重金属含量空间分布图,发现Cu呈条带状,Cr、Mn呈岛状,Pb、Zn呈条带和岛状分布相结合的特点.土壤污染评价结果说明土壤Cr、Zn、Pb污染相对严重.土壤Cr、Zn、Pb、Mn和Cu之间呈显著相关,土壤重金属之间表现为复合污染.土壤重金属污染城郊乡梯度差异明显,工业化、城市化与城市土壤重金属空间分布密切相关.     

Vertical and temporal distribution of nitrogen and phosphorus and relationship with their influencing factors in aquatic-terrestrial ecotone： a case study in Taihu Lake, China

Vertical and temporal distributions of N and P in soil solution in aquatic-terrestrial ecotone （ATE） of Taihu Lake were investigated, and the relations among N, P, ORP （oxidation reduction potential）, TOC, root system biomass and microorganism were studied. As a whole, significant declines in TN, NO3^--N, DON （dissolved organic nitrogen） and TP concentration in soil solution have occurred with increase of the depth, and reached their minima at 60 cm depth, except for NH4^＋-N, which increased with depth. The concentration of TP increased gradually from spring to winter in the topsoil, the maximum 0.08 mg/L presented in the winter while the minimum 0.03 mg/L in spring. In the deeper layer, the concentration value of TP fluctuated little. As for the NO3^--N, its seasonal variation was significant at 20 cm depth, its concentration increased gradually from spring to autumn, and decreased markedly in winter. Vertical and temporal distribution of DON is contrary to that of NO3^--N. The results also show that the variation of N and P in the percolate between adjacent layers is obviously different. The vertical variation ofTN, TP, NO3^--N, NH4^＋-N and DON is significant, of which the variation coefficient of NO3^--N along the depth reaches 100.23%, the highest; while the variation coefficient of DON is 41.14%, the smallest. The results of correlation analysis show that the concentration of nitrogen and phosphorus correlate significantly with TOC, ORP, root biomass and counts of nitrifying bacteria. Most nutrients altered much from 20 to 40 cm along the depth. However, DON changed more between 60 and 80 cm. Results show that soil of 0-60 cm depth is active rhizoplane, with strong capability to remove the nitrogen and phosphorus in ATE. It may suggest that there exists the optimum ecological efficiency in the depth of above 60 cm in reed wetland. This will be very significant for ecological restoration and reestablishment.     

自然保护区生态补偿定量方案研究——基于“虚拟地”计算方法

自然保护区生态补偿的“补给谁”和“补多少”在理论和实践上都是生态补偿中的重点和难点所在。传统的通过计量保护区正外部性以确定生态补偿数量的方法存在两个主要问题：一是违背经济学原理,二是与管理体制不符且法理不足。据此,并考虑到中国相当数量的保护区“没有保护好”的主要因素是保护区社区居民生产生活的干扰,论文认为应通过控制保护区社区的负外部性来达成对保护区的生态补偿。通过生产函数理论分析,发现通常情况下保护区社区的经济产出与土地面积单调正相关,因此在没有生态补偿的情况下,保护区的划建会使周边社区居民经济收入减少,解决周边社区对保护区干扰的根本途径是利用生态补偿资金发展替代产业以提高单位面积土地的经济产出。以此认识为基础,文章提出了“虚拟地”概念并发展了定量方法来确定保护区的生态补偿最低标准,采用武夷山保护区的数据进行了这一方法的案例分析。     

污水地下渗滤系统强化脱氮试验研究

构建了3套以5%炉渣+95%草甸棕壤为基质的地下渗滤系统室内模拟试验装置,在水力负荷为0.1m3/(m2·d)条件下进行了生活污水处理试验.结果表明,当分流位置位于系统内110cm处,分流比为1:1时,可提高地下渗滤对总氮的去除效率,总氮的去除率由59.37%提高至68.41%,且对COD和总磷的去除效果没有影响.     

Nitrogen cycle of a typical Suaeda salsa marsh ecosystem in the Yellow River estuary

The nitrogen (N) biological cycle of the Suaeda salsa marsh ecosystem in the Yellow River estuary was studied during 2008 to 2009. Results showed that soil N had significant seasonal fluctuations and vertical distribution. The N/P ratio (15.73±1.77) of S. salsa was less than 16, indicating that plant growth was limited by both N and P. The N absorption coefficient of S. salsa was very low (0.007), while the N utilization and cycle coefficients were high (0.824 and 0.331, respectively). The N turnover among compartments of S. salsa marsh showed that N uptake from aboveground parts and roots were 2.539 and 0.622 g/m2, respectively. The N translocation from aboveground parts to roots and from roots to soil were 2.042 and 0.076 g/m2, respectively. The N translocation from aboveground living bodies to litter was 0.497 g/m2, the annual N return from litter to soil was far less than 0.368 g/m2, and the net N mineralization in topsoil during the growing season was 0.033 g/m2. N was an important limiting factor in S. salsa marsh, and the ecosystem was classified as unstable and vulnerable. S. salsa was seemingly well adapted to the low-nutrient status and vulnerable habitat, and the nutrient enrichment due to N import from the Yellow River estuary would be a potential threat to the S. salsa marsh. Excessive nutrient loading might favor invasive species and induce severe long-term degradation of the ecosystem if human intervention measures were not taken. The N quantitative relationships determined in our study might provide a scientific basis for the establishment of effective measures.     

陕西县域经济发展与SO2排放及环境容量测评

本文依据2008年的有关统计资料,对陕西省97个县市地均GDP及地均SO2排放量进行了存量核算,借用二维组合矩阵方法分析了二者之间的相关关系,并计算陕西省各县域的环境容量及环境承载能力。本研究对认识陕西省的地均SO2排放量的地域分布格局,并从宏观上指导生产的合理布局具有一定的参考意义。