二手电器使用算好两笔账

因价格低廉且符合人们印象中的循环经济原理，二手电器市场异军突起，成为电器市场不可或缺的组成部分。然而，由于存在着市场管理的不够规范、市场管理方法过于粗疏以及管理缺位等问题，二手电器市场并不像人们所希望的那样，都能产生循环经济效益。     

家电市场优胜劣汰的节能法则

节能对于家电行业来说，应是一种必备性能。在目前的环境、资源、能源三重压力背景下，随着新节能政策和推荐或强制性的标准陆续出台，日益规范化的家电市场随时都有进行大洗牌的可能。     

基于AIS轨迹修复的船舶排放空间表征改进方法与应用

基于船舶自动识别系统(Automatic Identification System,AIS)数据表征船舶排放是目前船舶排放空间表征的主流方法,但AIS船舶轨迹点缺失会造成船舶排放量低估和船舶空间分布表征错误,进而影响船舶排放控制区的划分.为改进船舶排放空间表征,本研究以2013年广东省AIS船舶数据为例,采用基于时间和经纬度的三次样条方法对AIS船舶轨迹进行修复,结合动力法计算船舶排放,分析对比AIS轨迹修复前后船舶排放表征的差异,并利用空气质量模型和卫星观测评估AIS轨迹修复对船舶排放表征和广东沿海空气质量模拟的改进效果.结果表明:轨迹修复后广东省海域船舶轨迹点总数由4685773个增至5746664个,船舶NO_x排放量增加了0.6%.对于轨迹点与排放缺失集中的粤东海域,轨迹修复后船舶轨迹点数增加了88%,NO_x排放量在广东省船舶排放量的占比提升至22%,特别是在粤东重点修复海域NO_x排放量增加了2.7倍.原始轨迹在广东省海域较为稀疏,在粤东海域有明显轨迹缺失;轨迹修复后广东省海域船舶轨迹更为密集,粤东海域船舶轨迹得...     

北方干旱地区水库富营养化模拟

北方干旱区水库具有防洪、灌溉、城市供水多种功能,其富营养化控制具有重要意义。以对汾河水库水质长期监测数据为基础,结合水动力模型、物质输移扩散模型及富营养化生命过程建立富营养化耦合模型,研究不同情景下水库流场特征及营养物质的时空分布规律。研究表明,水库部分区域已发生富营养化,且库区内污染物浓度超标范围较大,提出上游排放口污染物削减方案,为汾河水库乃至整个北方干旱地区水库的富营养化控制提供技术支持。     

氟碳涂层体系在我国水环境中防腐性能研究

通过现场曝露试验,获得氟碳涂层体系在我国淡水、海水和盐湖水环境中4年腐蚀结果,总结了它们的腐蚀行为。无论是在自然环境下的曝露试验,还是实验室条件下的盐雾试验和紫外光老化试验结果,都表明氟碳涂层具有优异的耐候性和耐水性;水气渗透性试验也表明氟碳涂层具有较低的渗水率;氟碳涂层虽具有低的表面能,但在淡水和海水环境中,其抗水生物附着性能仍不理想。     

BiOBr/Bi2MoO6异质结的构筑及对甲基橙的吸附/光催化性能的协同作用机制

采用简单的沉积-沉淀法合成了BiOBr/Bi_2MoO_6(BOB/BMO)异质结,采用XRD、XPS、TEM、SEM、EDS、FT-IR、UV-Vis-DRS、PL、PC和EIS等测试技术对光催化剂的物相组成、形貌、光吸收特性和光电化学性能等进行系统表征,并以模型污染物甲基橙(MO)的吸附和光催化降解作为探针来评价BiOBr/Bi_2MoO_6异质结的吸附性能与光催化活性增强机制.SEM和TEM分析结果表明,所得Bi_2MoO_6微球由大量厚度约为20~50 nm的纳米片组成;沉淀-沉积法所得样品的形貌分析显示,尺寸约为10 nm的BiOBr量子点均匀沉积在Bi_2MoO_6微球表面,形成的新颖的BOB/BMO异质结.N2吸附/脱附结果表明,Bi_2MoO_6和BiOBr形成异质结具有大的比表面积(64.94 m2·g-1),且表面孔结构丰富.吸附/光催化降解实验结果表明,与纯Bi_2MoO_6或者BiOBr相比,BOB/BMO异质结表现出更好的吸附性能和光催化活性.吸附/光催化协同作用机理分析表明,BOB/BMO异质结具有大的比表面积和丰富的孔结构是其吸附性能增强的主要原因.此外,光致发光(PL)谱、光电流(PC)和交流阻抗(EIS)分析进一步揭示了BOB/BMO异质结有利于光生载流子的分离与转移,导致光催化活性增强,二者的协同作用使其对MO具有优越的去除性能.此外,BOB/BMO异质结较稳定,重复使用性能良好,有望用于MO废水的实际处理.     

北京市大气PM2.5中矿物成分的污染特征

为了解北京市大气细粒子中矿物成分的浓度水平和污染特征,在清华园和车公庄进行了连续1a的PM_2.5累积周采样和全样品分析.Al、Si、Ca、Mg和Fe等地壳元素的周变化相似,最大周均浓度均出现在春季有强沙尘天气的一周;其季节变化显著,显示季节性的源排放以及气象条件对矿物成分的含量影响显著.土壤尘的季节平均浓度从夏季逐步上升,至次年春季达到最高(21.1 μg·m^-3),表明春季频繁发生的沙尘天气对土壤尘细粒子有重要贡献.大量的建筑活动可能大大增加了北京细粒子中Ca的负荷,应加强其排放控制.     

Factors affecting the implementation of green specifications in construction

Green specifications constitute one of the important elements in green construction. New sustainability requirements and changing priorities in construction management have spurred the emerging green specifications to a faster pace of development. A cross-sectional survey has been conducted in Hong Kong in 2007 to identify principal factors leading to the success of preparing green specifications. Based on extensive construction management literature, 20 variables concerning sustainable construction were summarized. Using the Mann–Whitney U-test, the subtle differences between stakeholders in specifying construction work have been detected even with the high consistency of the responses among the groups. Moreover, five independent factors for successful specification of green construction have been categorized by factor analysis. They are related to (1) green technology and techniques, (2) reliability and quality of specification, (3) leadership and responsibility, (4) stakeholder involvement, and (5) guide and benchmarking systems. Whilst the first and fourth factors are generally more important, different stakeholder groups have different emphases. The results of the survey have been validated against established principles.     

Molecular composition of recycled organic wastes,as determined by solid-state 13C NMR and elemental analyses

Using solid state ¹³C NMR data and elemental composition in a molecular mixing model, we estimated the molecular components of the organic matter in 16 recycled organic (RO) wastes representative of the major materials generated in the Sydney basin area. Close correspondence was found between the measured NMR signal intensities and those predicted by the model for all RO wastes except for poultry manure char. Molecular nature of the organic matter differed widely between the RO wastes. As a proportion of organic C, carbohydrate C ranged from 0.07 to 0.63, protein C from <0.01 to 0.66, lignin C from <0.01 to 0.31, aliphatic C from 0.09 to 0.73, carbonyl C from 0.02 to 0.23, and char C from 0 to 0.45. This method is considered preferable to techniques involving imprecise extraction methods for RO wastes. Molecular composition data has great potential as a predictor of RO waste soil carbon and nutrient outcomes.