我国物流产业基本经济活动空间格局分析

基于经济基础理论,对1991～2001年间我国各省区物流产业基本经济活动部分进行了实证分析,从省际差异、东中西部差异两个方面分析了我国区域物流产业基本经济活动的省区差异:在时间维度上区域差异呈逐步扩大趋势,在空间结构上表现出较明显的沿海指向性和交通指向性,并以此分析归纳出我国物流产业基本活动的"四区(物流集聚区)一带(物流集聚带)"空间格局特征,进而得出其基本经济活动强度与区域经济发展水平、物流需求程度、科技水平、区位条件、交通等基础设施、政策及历史发展作用紧密相关的结论.     

Impact of Human Activities on Carbon Dioxide (CO<Subscript>2</Subscript>) Emissions: A Statistical Analysis

Summary The balance of evidence suggests a perceptible human influence on global ecosystems. Human activities are affecting the global ecosystem, some directly and some indirectly. If researchers could clarify the extent to which specific human activities affect global ecosystems, they would be in a much better position to suggest strategies for mitigating against the worst disturbances. Sophisticated statistical analysis can help in interpreting the influence of specific human activities on global ecosystems more carefully. This study aims at identifying significant or influential human activities (i.e. factors) on CO₂ emissions using statistical analyses. The study was conducted for two cases: (i) developed countries and (ii) developing countries. In developed countries, this study identified three influential human activities for CO₂ emissions: (i) combustion of fossil fuels, (ii) population pressure on natural and terrestrial ecosystems, and (iii) land use change. In developing countries, the significant human activities causing an upsurge of CO₂ emissions are: (i) combustion of fossil fuels, (ii) terrestrial ecosystem strength and (iii) land use change. Among these factors, combustion of fossil fuels is the most influential human activity for CO₂ emissions both in developed and developing countries. Regression analysis based on the factor scores indicated that combustion of fossil fuels has significant positive influence on CO₂ emissions in both developed and developing countries. Terrestrial ecosystem strength has a significant negative influence on CO₂ emissions. Land use change and CO₂ emissions are positively related, although regression analysis showed that the influence of land use change on CO₂ emissions was still insignificant. It is anticipated, from the findings of this study, that CO₂ emissions can be reduced by reducing fossil-fuel consumption and switching to alternative energy sources, preserving exiting forests, planting trees on abandoned and degraded forest lands, or by planting trees by social/agroforestry on agricultural lands.     

流态对生物添加强化硝化效果的影响

在15℃、相同氮负荷和添加强度条件下运行SBR和CSTR以对比分析两种典型流态(推流式和完全混合式)对硝化菌添加强化硝化效果的影响.结果表明,添加期间,SBR中氨氧化速率(AUR)和亚硝酸盐氧化速率(NUR)分别为添加前的2.34和2.39倍,停止添加后又分别降为添加前的2.01和1.78倍;添加期间CSTR中AUR和NUR分别为添加前的2.63和2.44倍,停止添加后又分别降为添加前的1.48和1.31倍.荧光原位杂交结果显示,添加期间,SBR中氨氧化菌(AOB)和亚硝酸盐氧化菌(NOB)的个数百分比分别为添加前的2.67和2.71倍,添加停止后,又分别降至原来的2.14和1.95倍;CSTR中AOB和NOB分别为添加前的2.91和1.77倍,但在添加停止后CSTR中AOB和NOB分别降至添加前的1.25和1.50倍.因此,硝化菌添加期间,两种流态的添加效果接近,但是在添加停止后,由于流态对硝化菌中K-决策者(Nitrosospira、Nitrospira)和r-决策者(Nitrosomonas europaea、Nitrobacter)的选择作用,添加的硝化菌在完全混合式条件下比推流式条件下更容易被系统淘汰.     

容积负荷对ABR-MBR工艺反硝化除磷性能的影响

采用连续流ABR-MBR组合工艺处理生活污水,研究不同容积负荷(volume loading rate,VLR)对该工艺反硝化除磷性能的影响,获得最佳工艺参数.试验考察ABR进水容积负荷(以COD计,下同)分别为0.76、1.01、1.51和2.27 kg·(m~3·d)~(-1)时系统去碳脱氮除磷的性能,并在各ABR容积负荷条件下考察MBR容积负荷对MBR反应器硝化性能的影响.结果表明,在ABR进水容积负荷为1.51 kg·(m~3·d)~(-1)的条件下,系统A2隔室COD去除量最大,并在MBR容积负荷为0.462 kg·(m~3·d)~(-1)时,MBR反应器中实现了短程硝化,系统NH_4~+-N和TN去除率分别达到90%和72%以上,厌氧释磷量为7.41 mg·L~(-1),缺氧吸磷量达到15.42 mg·L~(-1),出水PO_4~(3-)-P浓度低于0.5 mg·L~(-1),这表明短程硝化更有利于强化ABR-MBR系统的反硝化除磷性能.     

Shifts in microbial community structure and diversity in a MBR combined with worm reactors treating synthetic wastewater

The chemical oxygen demand (COD) and NH₃-N removal, membrane fouling, sludge characteristics and microbial community structure in a membrane bioreactor (MBR) coupled with worm reactors (SSBWR) were evaluated for 210 days. The obtained results were compared to those from a conventional MBR (C-MBR) operated in parallel. The results indicated that the combined MBR (S-MBR) achieved higher COD and NH₃-N removal efficiency, slower increase in membrane fouling, better sludge settleability and higher activities of the related enzymes in the activated sludge. Denaturing gradient gel electrophoresis was used to analyze the microbial community structures in the C-MBR and the S-MBR. The microbial community structure in the S-MBR was more diverse than that in the C-MBR. Additionally, the slow-growing microbes such as Saprospiraceae, Actinomyces, Frankia, Clostridium, Comamonas, Pseudomonas, Dechloromonas and Flavobacterium were enriched in the S-MBR, further accounting for the sludge reduction, membrane fouling alleviation and wastewater treatment.     

人为干扰对小兴安岭森林湿地土壤碳组分和酶活性的影响

以小兴安岭落叶林沼泽湿地为研究对象,对比研究皆伐地、火烧地和落叶松湿地土壤碳组分和酶活性.结果表明:(1)3种湿地类型土壤SOC含量表现为对照地显著高于皆伐地和火烧地(p0.05),在0~10 cm土层中皆伐地与对照地相比降低了58.38%,火烧地与对照地相比降低了61.96%.皆伐地与火烧地在不同土层的土壤中SOC含量差异不显著(p0.05);DOC含量对照地显著高于皆伐地和火烧地(p0.05).在0~10cm土层中火烧地DOC含量是皆伐地的1.99倍,两者差异不显著(p0.05);不同干扰方式对土壤MBC含量影响的差异主要表现在0~10 cm的土层土壤,对照地分别比皆伐地和火烧地高23.13%和95.79%(p0.05).在不同的土层中皆伐地MBC含量均大于火烧地,与SOC含量的变化趋势一致.(2)与对照地相比,皆伐地与火烧地0~10 cm土层的土壤蔗糖酶活性分别降低了45.59%和36.76%,脲酶活性显著降低了18.22%和55.69%(p0.05),蛋白酶活性降低了19.65%和17.34%,淀粉酶活性降低了6.29%和10.69%.土壤碳组分和酶活性在垂直方向上均表现为随着土层深度增加而减小.皆伐和火烧造成森林湿地土壤碳组分和酶活性降低.     

自养脱氮污泥的亚硝化活性恢复策略

为考察自养脱氮污泥亚硝化活性快速恢复的策略,在3个反应器内分别采用不同的方法对经过长期冷冻保存后的污泥进行了恢复活性的研究.其中R1为MBR(膜生物反应器),采用低ρ(DO)(0.30 mg/L)连续流恢复策略;R2为SBR(序批式反应器),采用低ρ(DO)(0.30 mg/L)间歇流恢复策略;R3为SBR,采用低ρ(NH₄+-N)预培养-高曝气-低ρ(DO)运行三阶段的恢复策略.结果表明,R1的恢复时间为46 d,NH₄+-N氧化速率达到4.99 mg/(h·g)(以N计),最终ρ(MLSS)达到5.43 g/L;R2的恢复时间为39 d,NH₄+-N氧化速率达到4.61 mg/(h·g),最终ρ(MLSS)达到4.47 g/L;R3的恢复时间为48 d,NH₄+-N氧化速率达到5.64 mg/(h·g),最终ρ(MLSS)达到5.16 g/L. 3个反应器均能长期抑制亚硝酸盐氧化细菌的活性,使亚硝化稳定运行. 3个反应器中,R3恢复所需时间最长,但污泥活性最好; R1中的污泥活性较低,但是膜组件有效截留了污泥,达到了最高的ρ(MLSS).研究显示,通过厌氧预培养后转为膜生物反应器连续流运行的策略,可有助于污泥的极大保留及污泥活性的最大恢复.      

太湖流域污水处理厂低温生物脱氮运行模式研究

以苏州工业园区第二污水厂在冬季低温下的实际运行为例,重点分析了低温生物脱氮的影响因子,并探讨影响低温生物脱氮的因素.根据污水处理厂冬季水温特征和低温脱氮影响规律,结合污水厂运行经验和数据分析提出太湖流域污水厂低温生物脱氮的适合措施,以达到低温下保证运行效果使出水达标,并结合冬季低温下太湖流域污水厂的特点,为保证总氮出水达标提出来了相应的解决方案和措施.     

河北平原潮土中微生物对氮降解特征

了解土壤中微生物对氮素降解规律,对于土壤氮污染修复具有重要现实意义.从河北平原潮土中筛选出8种高效氨化细菌、硝化细菌、异养硝化好氧反硝化细菌,对所筛菌种进行16S r DNA分析,选出最适菌株通过固定化载体将菌种制成菌剂.探讨了用加入所筛菌种及拮抗菌的菌液和地表水分别滴灌小白菜对土壤中的氮降解产生的影响,并测定土样磷脂脂肪酸(PLFA)的值.结果表明:以硅藻土为载体硝化细菌的氨氮降解率达到38%,硝态氮合成率为205%;以硅藻土为载体的氨化细菌氨氮合成率为1 711%,异养硝化好氧反硝化细菌的硝态氮降解率达到367%.加所筛菌液滴灌对土壤总氮和氨氮的降解效果较好,硝化作用也较强,加菌后土壤中微生物量明显增加,且更快到达峰值.对不同土样不同时间磷脂脂肪酸数据分析发现,在白菜生长过程中,土壤中的微生物含量均产生了1次峰值,且加入所筛菌的先到达峰值.对于任丘和阜城土样来说,加入所筛菌后,土壤中微生物种类相应增多,对土壤微生物环境有所改善,微生物也比较活跃.     

MUCT工艺全程硝化和短程硝化模式下反硝化除磷研究

采用MUCT工艺处理低C/N比实际生活污水,研究在全程硝化及短程硝化模式下系统的反硝化除磷性能.MUCT反应器在常温下运行180 d,结果表明,采用低DO和短水力停留时间(HRT)实现了短程硝化,亚硝酸盐积累率达到70%以上.系统表现出较好的反硝化除磷性能,短程硝化期间磷的去除率和反硝化除磷率分别为90%和91%,全程硝化期间磷的去除率和反硝化除磷率分别为60%和88%.虽然短程硝化模式下磷的去除效果明显优于全程硝化模式,但荧光原位杂交(FISH)试验结果表明,2种模式下污泥中PAOs占总菌群的比例基本相同,平均为37%.COD去除效果稳定,试验期间出水COD均低于50 mg.L-1.不同硝化模式下污泥的批次试验表明:短程硝化期间,以NO2--N作为电子受体为主的反硝化除磷菌占总聚磷菌的比例和全程硝化期间以NO3--N作为电子受体为主的反硝化除磷菌的比例相比没有明显变化,平均为38%;与全程硝化时期相比,短程硝化阶段对有限碳源的利用率更高,磷的去除效果更好.短程硝化模式下的反硝化除磷更有利于低碳源污水的处理.