纳米零价铁对铀尾矿库土壤中铀形态分布及固定效果的影响

针对纳米零价铁(nZVI)对铀尾矿库土壤中铀形态分布和U(Ⅵ)固定效果影响问题,采用逐级化学提取、毒性浸出(TCLP)和磁性分离实验,利用SEM-EDS和XRD对nZVI固定前后的铀尾矿土壤进行表征;研究了nZVI在不同投加量和pH条件下,对尾矿库土壤固定前后铀的形态分布和固定效果的影响,并对nZVI的固定机理进行了探讨。结果表明：当nZVI的投加量为8%、pH为5时,土壤中U(Ⅵ)的固定效果最好,固定后土壤中铀的毒性浸出值仅为13.98%;对经过nZVI处理后的铀尾矿土壤进行磁性分离发现,磁性和非磁性土壤重量占比分别为32.87%和67.13%,其铀含量分别达到55.05%和44.95%,说明nZVI对土壤中的U(Ⅵ)有较好的富集作用。nZVI对铀尾矿库土壤中的U(Ⅵ)有较好的原位固定和富集效果,并能减少土壤中铀的析出。     

Fenton试剂-生物法联合处理有机废水研究进展

本文对Fenton试剂和生物法联合处理有机废水的工艺流程、适用废水种类、废水处理机理和衡量指标进行了综述,并对Fenton试剂和生物法相结合处理有机废水研究进行了展望。     

低强度超声波预处理对污泥自热式高温好氧消化的影响

以0.3 W·cm-2的低强度超声波对调配好的污泥进行5、10和20 min的辐照,再经过12 d的自热式高温好氧消化（ATAD）。结果表明,适当的低强度超声预处理能够有效地加快稳定化进程,其中超声波辐照10 min后的实验组效果最好,在第8.5天时,温度升高至58.3℃,VSS去除率达到42.1%,比未经超声预处理的实验组提前2 d达到稳定状态。在消化过程中脱氢酶的活性与VSS去除率有着很好的相关性（R2>0.86）,它能有效地表征VSS的高温好氧降解规律及有机物去除程度。稳定后的污泥上清液中TP浓度降至初始浓度的40%以下,TOC浓度升高至初始浓度的3~4倍。然它们的浓度仍很高,仍会给后续处理增加一定的负担。     

光合产氢-膜曝气生物膜反应器耦合系统产氢与底物降解特性

为提高光合产氢反应器性能,构建了一种采用沼泽红假单胞菌CQK01接种的光生物产氢-膜曝气生物膜反应器（PBR-MABR）耦合系统。实验表明,在序批培养条件下,由于产氢过程中有机酸和氢离子不断积累,使得PBR系统的产氢速率远低于PBR-MABR系统,其产氢速率为0.49 mmol·（L·h）-1;而PBR-MABR、PBR-2MABRs和PBR-3MABRs的产氢速率则分别可达到0.61、0.76和0.85 mmol·（L·h）-1。这主要是由于有机酸被MABR中的透气膜上生长的生物膜不断降解所致。有机酸的降解不仅提高了耦合系统内pH值并在一定程度上缓解了体系中的产物抑制。     

可见光/H2 O2/海藻酸铁非均相催化降解吖啶橙的研究

由海藻酸钠和氯化铁反应制备了海藻酸铁凝胶小球催化剂,考察了该催化剂的吸附和可见光下催化降解吖啶橙的性能.结果表明催化剂的吸附能力随pH升高而提高,且催化剂用量为40个凝胶小球时,可见光下吖啶橙能够在较宽pH值范围内脱色,脱色速率随H2O2的用量增加而增加,该反应符合Arrhenius规律,其表观活化能为49.6 kJ/mol.自由基清除剂的加入不会降低脱色速率,表明催化反应不是羟基自由基的机理,而与高活性的类{ Fe(Ⅳ)=O}高价铁中间产物有关.     

活性炭-双氧水催化氧化法深度处理DSD酸废水的研究

以活性炭为催化剂、H2O2为氧化剂的催化氧化技术来处理DSD酸母液树脂吸附出水。处理效果比单纯的活性炭吸附或H2O2氧化要好的多。在温度25℃，线速度0．10m／h，pH3．50，H2O2添加量0．35％，处理500mL水样后，脱色率达到90%以上，TOC去除率达到40．0％以上。     

我国农业县（市）绿色食品发展对策研究

发展绿色食品是实现区域可持续发展和发展生态农业的一条有效途径。本文分析了我国农业县（市）发展绿色食品普遍存在的问题,在此基础上提出了发展绿色食品的对策。     

城乡交错区耕地分区管护及生态补偿模式研究——以上海市浦东新区为例

基于土地评价和立地条件评估(Land Evaluation and Site Assessment, LESA)框架构建以耕地自然质量、生态敏感性、区位条件、耕作条件和土壤环境安全风险组成的指标体系,以决策树归纳法将浦东新区耕地划分为工业污染、生态农业、轮作休耕、农业连片、休闲农业和非农转化6类管护区,根据各区管护重点提出规模经营及绿色生产、休闲观光及农田保育、非农管控及发展限制型耕地生态补偿模式。上海市浦东新区耕地自然质量优良,约50%的耕地可规模经营及连片生产,但仍有10%左右的耕地面临着工业污染和非农占用的风险。建议对以稳产高产和生态协调为目标的农业连片区和生态农业区采取规模经营及绿色生产型生态补偿模式,对发展农业生产新形态的轮作休耕区和休闲农业区采取休闲观光及农田保育型生态补偿模式,对非农化风险较高的工业污染区和非农转化区采取非农管控及发展限制型生态补偿模式。     

Theory and Model of Agricultural Insurance Subsidy

The issue of agricultural insurance subsidy is discussed in this paper aiming to make it provided more rationally and scientifically. It is started with the connection between agricultural insurance and financial subsidy. It is really necessary and crucial to implement the financial insurance due to the bad operational performance, especially in the developing countries. But the subsidy should be provided more rationally because financial subsidy has lots of negative effects. A model in competitive insurance markets developed by Ahsan et al （1982） and a farmers＇ decision model are developed to solve the optimal subsidized rate. Finally, the equation is got to calculate it. But a quantitative subsidized rate is not made here because the calculation should be under some restricted conditions, which are always absent in the developing countries. So the government should provide some subsidy for the ex ante research and preparation to get the scientific probability and premium rate.     

Impact of demographic dynamics on CO_2 emissions in Sichuan,China

Global climate change is one of the major environmental issues faced by humans.Existing evidence indicates that the anthropogenic push for a rise in the atmospheric concentration of greenhouse gases(GHGs)(particularly CO_2)has been a primary cause for global warming.Aside from economic and teclinological factors,demographic dynamics(including human consumption in a broad demographic sense)has been a major driver for CO_2 emissions.In this paper,we performed both nonlinear regression analysis(based on the STIRPAT model)and gray correlation degree analysis(based on gray system theory)on the impact of demographic dynamics on CO_2 emissions.Our results reveal that CO_2 emissions are positively correlated with population size and GDP per capita and negatively correlated with energy intensity.We also show that gray correlation degree with CO_2 emissions for five variables(i.e.,household consumption,urbanization rate,household size,population aging rate,population size)varies substantially:household consumptionurbanization ratehousehold sizepopulation aging ratepopulation size,with household consumption being the highest,and population size the lowest.To mitigate the impact of demographic dynamics on CO_2 emissions,it is of vital significance to nurture people's awareness of sustainable consumption and to adhere to current population control policies.