毒性有机物BPA与普通小球藻的相互影响特性研究

考察了不同浓度双酚A(BPA)对普通小球藻(Chlorella vulgaris)生长特性的影响,以及普通小球藻生长过程对BPA的去除效能.研究表明,低浓度BPA(0~20 mg·L-1)对普通小球藻生长具有促进作用,而高浓度BPA(20~50 mg·L-1)对普通小球藻生长具有抑制作用,且抑制效应与BPA浓度呈正相关关系.低剂量BPA(<20 mg·L-1)对叶绿素含量并无明显的影响,高剂量BPA(>20 mg·L-1)造成叶绿素含量降低.在BPA初始浓度2~50 mg·L-1的范围内,普通小球藻对其都有一定的去除效能,单位普通小球藻对BPA去除速率与其初始浓度呈正相关关系.BPA投加量为50 mg·L-1时,BPA去除速率最大,且最大速率出现于延滞期与对数期之间.     

以预处理剩余污泥为燃料MFC产电性能及不连续供电的可行性

为探讨微生物燃料电池(microbial fuel cell,MFC)处理经预处理后剩余污泥的可行性以及不连续供电能力,采用双室MFC,以剩余污泥热处理上清液为基质进行启动和运行,通过改变电池阴极电子受体而导致电势差变化来监测其产电的运行稳定性.结果表明,反应器以氧气作为阴极电子受体148 h后启动成功,最大输出电压0.24 V,将阴极电子受体换为铁氰化钾时,能获得0.66 V的最大输出电压和4.21 W·m~(-3)的最大功率密度.当将阴极电子受体分别替换为氧气或者开路,又转换为铁氰化钾后,电池输出功率恢复迅速,电池对有机物去除效率基本不受影响,对化学需氧量(COD)、氨氮去除效率分别达70%和80%.本研究表明,利用预处理剩余污泥进行MFC处理和产电是可行的,可获得较高的功率密度,同时MFC可以实现不连续供电.     

Key factors that influence households’ tree planting behaviour

Despite a decrease in indigenous forests and a growing demand for tree products in developing countries, tree planting activities are not considerably expanding in Tanzania. In this paper, we analyse factors that influence households’ tree planting behaviour, as well as the number of trees planted. Coast and Morogoro regions in the east of Tanzania were selected as the case, and data was gathered from 202 households in 11 villages in these regions where tree planting programmes have been or still are active. A Heckman model is used to analyse the factors that drive tree planting behaviour. Results indicate that households get wood energy from forest reserves (57%), in addition to their own planted trees (9.1%). Emperical findings show that the most important factors have significantly positive effects on households’ tree planting behaviour, as well as the extent to which it was implemented. These factors include households’ land sizes, households’ awareness of tree planting programmes, tree planting for wood energy, and the age of the head of the household. The right/freedom to harvest and transport tree products, households’ attitudes towards tree planting, and family size have significantly negative effects on households’ tree planting behaviour. This paper is perhaps the first comprehensive study to analyse the factors that influence households’ tree planting behaviour in Tanzania, and it uncovers results that are useful, even for other developing countries with similar conditions.     

光/电法氨氮降解过程中协同作用的研究

为了研究光/电法在氨氮降解过程中的协同作用,采用光/电法降解模拟工业循环冷却水中的氨氮,并对氨氮降解过程中的各影响因素进行了研究,考察了氯离子浓度和溶液p H对降解效率的影响。结果表明,与传统的光催化法和电化学法相比,光/电法在氨氮降解过程中存在良好的协同效应,因而具有更高的氨氮去除率,这主要归功于溶液氯离子的促进作用。另外,在酸性条件下,氨氮降解效率得到进一步加强。当p H在4~5之间,电流密度为10 m A/cm2,Na Cl浓度为100 mg/L时,在经过90 min光/电法处理后氨氮去除率高达95%,且N2占总氨氮降解产物的84.2%。     

好氧亚硝化颗粒污泥特性的研究

对在小试曝气上流式污泥床反应器中成功培养出的好氧亚硝化颗粒污泥的特性进行了研究.工艺稳定运行时,亚硝化颗粒污泥的VSS/SS稳定在80%左右,粒径大于1.0 mm的颗粒污泥约占总数的70%,粒径大于0.8 mm的颗粒污泥的湿密度约为1?022 kg/m³.荧光原位杂交结果表明,亚硝化细菌主要分布在颗粒污泥的表层,而硝化细菌则分布在表层之下;最大可能数结果显示,亚硝化工艺稳定运行时亚硝化细菌的数量远多于硝化细菌,甚至可高于硝化细菌4个数量级以上.上述结果表明,硝化细菌（AOB和NOB）以接种的产甲烷颗粒污泥或其碎片为载体,通过在其表层附着生长,最终形成好氧亚硝化颗粒污泥.     

基于多孔环形喷嘴的可燃爆粉尘分散特征的密度效应研究*

为了研究不同密度的可燃爆粉尘在内置多孔环形喷嘴的20 L爆炸特性测试装置中的分散特征,基于负载粒子流方法、耦合DPM动量平衡方程和时间平均 Navier Stokes控制方程组,实现3种不同密度的煤粉、铝粉和锆粉在20 L爆炸测试装置中粉尘分散全过程的数值模拟。研究结果表明:多孔环形喷嘴的分散较为均匀,但是约束管道末端存在局部粉尘残留区,致使爆炸仓内真实粉尘浓度远低于形式浓度;爆炸仓中心位置的最大湍动能随着粉尘密度的增加而减小,只有显著地变化粉尘密度才能展示区分度较高的浓度峰值和抵达浓度峰值的时间。     

基于视频分析的人群密集场所客流监控预警研究

为实现人群密集场所客流安全隐患早发现,辅助管理人员早决策,人群聚集风险区早疏散,提升对灾难的预见性和主动性。在国内外人群异常聚集监测预警现状分析基础上,对比分析得出监控视频分析技术是解决人群密集场所精准预警难题较为理想的解决方案;构建以视频智能分析的人群计数、密度估计、行人追踪、活动烈度识别为核心技术的人群密集场所风险预警技术框架;将该技术框架应用到某大型商圈的商业街区,获得监控区域内的人群总数、密度分布、行人轨迹和异常活动等特征。结果表明:提出的基于视频分析的人群密集场所风险预警技术框架可为城市大型商圈、交通枢纽、大型活动场所等城市公共场所的安全管理提供参考和借鉴。     

二氧化碳水合物储气特性的实验研究

利用二氧化碳水合物小型实验装置分别在恒容和恒压条件下,研究了机械搅拌对二氧化碳气体溶解的影响以及温度与水-气比对二氧化碳水合物形成和储气密度的影响。通过实验结果发现,机械搅拌对二氧化碳的溶解有非常明显的促进作用,可以在3 min内完成溶解过程,促进溶解作用好于添加剂SDS。研究还发现,反应温度越低,二氧化碳水合物的生成速率越快,总的储气量越大,而水-气比越大,储气密度越小。在实验压力3 MPa、反应温度273.55 K的条件下,1体积的水生成水合物后可储存157体积的二氧化碳。     

中国城镇建设用地经济密度的区位差异及影响因素——基于273个地级及以上城市的分析

以全国地级及以上城市中的273个样本城市为研究对象,分别从全国、沿海地区、内陆地区三个层次考察了样本城市城镇建设用地经济密度的区位差异。根据柯布-道格拉斯生产函数的理论与分析方法建立模型,分析了资本、劳动力、土地三大投入要素和城市全要素生产率等对城镇建设用地的影响,并在控制以上变量的条件下侧重考察了城市区位差异的影响。发现我国城镇建设用地经济密度的区位差异明显,具有区位优势的城市土地效益平均高于缺乏区位优势的城市;沿海水陆口岸的区位优势十分显著,建设用地经济密度相对较高,而内陆地区水陆口岸的区位优势有待发掘;航空口岸对提高城镇建设用地经济密度未发挥积极作用。分析结果表明,生产要素投入、科技水平、市场环境和城市发展阶段是影响土地效益的主要因素,但不同区位条件下城镇建设用地经济密度的影响因素有所不同,为提高城镇建设用地经济密度,不同区位条件的城市着力点应各有侧重。     

Inverse modeling of Asian Rn flux using surface air Rn concentration

When used with an atmospheric transport model, the ²²²Rn flux distribution estimated in our previous study using soil transport theory caused underestimation of atmospheric ²²²Rn concentrations as compared with measurements in East Asia. In this study, we applied a Bayesian synthesis inverse method to produce revised estimates of the annual ²²²Rn flux density in Asia by using atmospheric ²²²Rn concentrations measured at seven sites in East Asia. The Bayesian synthesis inverse method requires a prior estimate of the flux distribution and its uncertainties. The atmospheric transport model MM5/HIRAT and our previous estimate of the ²²²Rn flux distribution as the prior value were used to generate new flux estimates for the eastern half of the Eurasian continent dividing into 10 regions.The ²²²Rn flux densities estimated using the Bayesian inversion technique were generally higher than the prior flux densities. The area-weighted average ²²²Rn flux density for Asia was estimated to be 33.0 mBq m⁻² s⁻¹, which is substantially higher than the prior value (16.7 mBq m⁻² s⁻¹). The estimated ²²²Rn flux densities decrease with increasing latitude as follows: Southeast Asia (36.7 mBq m⁻² s⁻¹); East Asia (28.6 mBq m⁻² s⁻¹) including China, Korean Peninsula and Japan; and Siberia (14.1 mBq m⁻² s⁻¹). Increase of the newly estimated fluxes in Southeast Asia, China, Japan, and the southern part of Eastern Siberia from the prior ones contributed most significantly to improved agreement of the model-calculated concentrations with the atmospheric measurements. The sensitivity analysis of prior flux errors and effects of locally exhaled ²²²Rn showed that the estimated fluxes in Northern and Central China, Korea, Japan, and the southern part of Eastern Siberia were robust, but that in Central Asia had a large uncertainty.