米糠生物质解毒含铬(Ⅵ)水溶液的研究

农林生物质是一种成本低、环境友好的重金属废水处理材料,也是受重金属污染环境的修复材料之一.实验讨论了初始pH值、米糠用量、吸附时间对含铬(Ⅵ)水溶液解毒的影响.结果表明,米糠对Cr(Ⅵ)存在吸附作用,同时也有解毒还原能力.100 mL浓度为100 mg/L的含铬溶液,在初始pH为2、米糠用量为3 g、吸附-反应平衡时间7 h的条件下,生物质吸附去除溶液中的铬为14.4%,而原溶液中Cr(Ⅵ)解毒了57.2%,米糠生物质吸附总铬的能力为0.48 mg Cr/g(生物质).米糠生物质有潜在的吸附铬和修复受铬污染环境的利用价值.     

水中阴离子表面活性剂的测定

偶氮红两相滴定法在ｐＨ＝７．５的条件下,能测定水和废水中的各种阴离子表面活性剂的摩尔浓度。本文通过对硫酸盐、磺酸盐、苯磺酸盐、肥皂和磷酸盐等各类阴离子表面活性剂的测定,以及干扰试验和实际水样测定,表明此法优于亚甲基蓝分光光度法。方法的变异系数为１．０％（ｎ＝１１）,最小检出浓度０．０５２ｍｇ／Ｌ（ｎ＝２１）,加标回收率９２．１％－１１０．２％,平均１００．６％（ｎ＝１４）。建议水中阴离子表面活性剂     

基于TLSER和QSPR关系预测PAHs和PCBs的LDPE膜-空气分配系数

有机污染物在被动采样材料与环境介质之间的平衡分配系数(K_P),是测定环境中有机污染物浓度的重要参数,但K_P值大部分都需要经过繁琐的实验测定获取,无法逐个测定数量繁多的污染物,因此需开发一种预测K_P值的方法。为此,搜集整理了一些多环芳香烃(PAHs)和多氯联苯(PCBs)的低密度聚乙烯(LDPE)-空气分配系数(K_PA)的实测值,基于理论线性溶解能(TLSER)和定量结构性质关系(QSPR),利用逐步多元线性回归(MLR)分别构建了预测K_PA值的模型。模型的决定系数R2adj分别为0.927和0.956,交叉验证系数Q2LOO分别为0.915和0.946,外部系数Q2ext分别为0.913和0.960。结果表明,2种模型具有良好的拟合优度、稳健性和预测能力,并解释了模型的机理。所构建的2种模型均可用来预测应用域内有机污染物的LDPE膜-空气分配系数。     

大港地区大气颗粒物中多环芳烃分布及污染源识别的研究

多环芳烃（PAHs）是一类对人体危害较大的有机污染物。目前对大气环境中PAHs来源识别技术还处于探索与发展阶段。为了解天津大港油田地区大气环境中PAHs污染状况与来源,对天津市大港地区大气颗粒物中10种PAHs分布及污染源开展了调查。结果表明：大港地区10种PAHs总浓度平均为169ng/m3,比市区对照点的465ng/m³低63.7％,其中苯并（a）芘（BaP）平均浓度为13.6ng/m³,比市区对照点的41.1ng/m³低66.9％。实验结果经统计处理发现BaP浓度与其它9种PAHs浓度存在一定的相关性,相关系数均在0.60以上。利用比值法进行源识别得出：大港石化区PAHs主要来源为燃煤污染;而大港油田区PAHs主要来源为燃油污染。     

彩色显象管发光粉生产废水处理工艺研究

为了消除彩色显象管发光粉生产废水中重金属对环境的污染和实现资源回用,用Ｐ２０４－煤油－硫酸体系分离回收废水中的锌。研究结果表明,以皂化Ｐ２０４为萃取剂,经三级逆流Ｚｎ＾２的率可达９９％,共存的Ｎｉ＾２＋几乎不被萃取,Ｃｕ＾２＋的萃取率小于７％;用硫酸溶液对负锌萃取剂进行了二级逆流反萃取,反萃取率达９６％以上,反萃浓缩液可返回生产过程作用。     

Implications of genetics and current protected areas for conservation of 5 endangered primates in China

Most of China's 24–28 primate species are threatened with extinction. Habitat reduction and fragmentation are perhaps the greatest threats. We used published data from a conservation genetics study of 5 endangered primates in China (Rhinopithecus roxellana, R. bieti, R. brelichi, Trachypithecus francoisi, and T. leucocephalus); distribution data on these species; and the distribution, area, and location of protected areas to inform conservation strategies for these primates. All 5 species were separated into subpopulations with unique genetic components. Gene flow appeared to be strongly impeded by agricultural land, meadows used for grazing, highways, and humans dwellings. Most species declined severely or diverged concurrently as human population and crop land cover increased. Nature reserves were not evenly distributed across subpopulations with unique genetic backgrounds. Certain small subpopulations were severely fragmented and had higher extinction risk than others. Primate mobility is limited and their genetic structure is strong and susceptible to substantial loss of diversity due to local extinction. Thus, to maximize preservation of genetic diversity in all these primate species, our results suggest protection is required for all sub‐populations. Key priorities for their conservation include maintaining R. roxellana in Shennongjia national reserve, subpopulations S4 and S5 of R. bieti and of R. brelichi in Fanjingshan national reserve, subpopulation CGX of T. francoisi in central Guangxi Province, and all 3 T. leucocephalus sub‐populations in central Guangxi Province.     

Progress in the ecology and conservation of giant pandas

Giant panda (Ailuropoda melanoleuca) conservation is a possible success story in the making. If extinction of this iconic endangered species can be avoided, the species will become a showcase program for the Chinese government and its collaborators. We reviewed the major advancements in ecological science for the giant panda, examining how these advancements have contributed to panda conservation. Pandas’ morphological and behavioral adaptations to a diet of bamboo, which bear strong influence on movement ecology, have been well studied, providing knowledge to guide management actions ranging from reserve design to climate change mitigation. Foraging ecology has also provided essential information used in the creation of landscape models of panda habitat. Because habitat loss and fragmentation are major drivers of the panda population decline, efforts have been made to help identify core habitat areas, establish where habitat corridors are needed, and prioritize areas for protection and restoration. Thus, habitat models have provided guidance for the Chinese governments’ creation of 67 protected areas. Behavioral research has revealed a complex and efficient communication system and documented the need for protection of habitat that serves as a communication platform for bringing the sexes together for mating. Further research shows that den sites in old‐growth forests may be a limiting resource, indicating potential value in providing alternative den sites for rearing offspring. Advancements in molecular ecology have been revolutionary and have been applied to population census, determining population structure and genetic diversity, evaluating connectivity following habitat fragmentation, and understanding dispersal patterns. These advancements form a foundation for increasing the application of adaptive management approaches to move panda conservation forward more rapidly. Although the Chinese government has made great progress in setting aside protected areas, future emphasis will be improved management of pandas and their habitat.     

循环载体生物滤池─—生物过滤新工艺

循环载体生物过滤工艺融三相流化、悬浮曝气、移动接触等几种不同工艺于一体，具有独特的工作原理和工艺特征。动态实验结果表明，循环载体生物过滤工艺容积负荷高，耐冲击负荷能力强，处理效果好，是一种比较理想的生物处理工艺。     

CuO-ZnO催化剂的XRD和EXAFS研究

用XRD和EXAFS方法研究了CuO-ZnO(50:50)CO_2加氢合成甲醇催化剂的结构.XRD研究发现,在催化剂还原前后,分别存在CuO,ZnO和Cu-ZnO晶相.EXAFS研究发现,在CuO-ZnO中,Cu—O,Cu—Cu键长及Cu的氧配位数、Cu的Cu配位数与纯CuO的十分接近,在Cu-ZnO中,Cu—Wu键长、Cu的Cu配位数与纯Cu的十分接近,说明催化剂在还原前后,CU的近邻结构分别与CuO与Cu的十分接近.纯Cu的活性、选择性很低,而Cu-ZnO的活性、选择性较纯Cu的有很大提高,说明催化剂的性能与催化剂中Cu的近邻结构无关.     

A nonparametric procedure for analyzing repeated measures of spatially correlated data

Many agricultural, biological, and environmental studies involve detecting temporal changes of a response variable, based on data observed at sampling sites in a spatial region and repeatedly over several time points. That is, data are repeated measures over time and are potentially correlated across space. The traditional repeated-measures analysis allows for time dependence but assumes that the observations at different sampling sites are mutually independent, which may not be suitable for field data that are correlated across space. In this paper, a nonparametric large-sample inference procedure is developed to assess the time effects while accounting for the spatial dependence using a block bootstrap. For illustration, the methodology is applied to describe the population changes of root-lesion nematodes over time in a production field in Wisconsin.