光散射颗粒物监测仪在环境空气监测中的适用性

为了研究光散射颗粒物监测仪在环境空气监测中的适应性,参照《环境空气颗粒物(PM10和PM2.5)连续自动检测技术要求及检测方法》(HJ 653-2013),在北京秋季使用PQ200(滤膜采样器)对DustTrak8530、LD-6S、HBKLW-2共3种光散射仪器进行比对测试.结果表明,3种光散射仪器的平行性都达标;在监测PM10时,3种仪器与PQ200的线性相关系数都达标,斜率只有HBKLW-2达标,截距除HBKLW-2略微超标外都与标准相差较远;在监测PM2.5时,3种仪器与PQ200的线性相关系数都达标且优于PM10,斜率只有HBKLW-2和LD-6S达标,截距绝对值相比PM10有所减小,但只有HBKLW-2达标;经校正因子修正后,3种仪器与PQ200的线性回归斜率达标、相关系数不变、监测PM2.5的截距相比PM10更加接近标准值,故光散射仪器更加适用于环境空气PM2.5监测.     

矿井重大灾害危险性评价的改进灰色统计法

用灰色统计理论［１］研究了矿井四大灾害即冒顶、水灾、火灾和瓦斯爆炸的危险性预评价问题，提出了一种新的评价方法──灰色统计综合法。同时，从应用的角度出发对灰色统计的算法作了改进，改进后的算法便于记忆和应用。     

Levels of polybrominated diphenyl ethers and hexabromocyclododecane in the atmosphere and tree bark from Beijing, China

Air samples in four seasons at one site and tree bark samples from four districts were determined to investigate seasonal variation and regional distribution of polybrominated diphenyl ethers (PBDEs) and hexabromocyclododecane (HBCD) in Beijing, China. The total concentrations of PBDEs (∑PBDE) and HBCD (∑HBCD) were in the range of 57-470 and 20-1800 pg m⁻³ in the atmosphere, respectively. The ∑PBDE and ∑HBCD concentrations were significantly influenced by the total suspended particulate matter in atmosphere. The total concentrations of PBDEs and HBCD in tree bark samples were in the range of 99-3700 and 26-3400 ng g⁻¹ lipid weight. It was found that regional distribution of PBDEs and HBCD was related to the function of each district. In addition, the study found that weeping willow bark was an ideal atmospheric PBDEs and HBCD passive sampler. Finally, atmospheric levels of BDE-209 and HBCD at tree bark sampling districts were estimated via applying an established bark/air partitioning model, which had been verified by the measured concentrations in tree bark and atmosphere in Beijing.     

非饱和土壤渗透系数空间不确定性对溶质运移的影响

包气带渗透系数的不确定性是影响非饱和带溶质运移的主要因素。应用贝叶斯方法对非饱和土壤渗透系数进行前处理,使用Monte-Carlo方法模拟其空间不确定性,并通过HYDRUS-1D模型对溶质运移进行数值模拟,研究包气带渗透系数的空间不确定性对溶质运移的影响。结果表明,由于包气带渗透性的不确定性使得溶质浓度分布呈现明显的不确定性,包气带内不同点的浓度值相差很大。与忽略包气带土性参数空间不确定性的模拟结果相对比,考虑包气带渗透系数不确定性的模拟结果与实际情况更加接近,更具合理性和科学性。同时,根据模拟结果,对实际工作中进行地下水数值模拟时溶质初始浓度输入值的确定提出相应建议。     

燃煤灰渣中微量元素分布规律的研究

研究了锅炉飞灰和底灰中１５种微量元素的含量和分布，探讨了煤炭燃烧后，微量元素在灰渣中的集散及其影响因素，飞灰和底灰中大多数元素高于全国土壤背景值，７种元素高于克拉克值，其余８种低于克拉克值，飞灰中多数元素的地球化学富集因子高于１，呈富集状态，而底灰中多数元素富集因子小于１，飞灰和底灰中微量元素含量与煤中微量元素含量呈线性关系，微量元素含量不仅与煤有关，还受锅炉燃烧方式等人为因素影响。     

衡山PM_（2.5）中痕量金属元素的分析

建立了微波消解-电感耦合等离子体质谱法同时测定PM2.5中12种痕量金属元素的方法。对不同消解体系进行了讨论,确定采用HNO3＋H2O2消解体系。方法检出限在0.01～6.4 ng/m3之间,精密度为0.5%～8.9%,加标回收率在69.2%～92.6%之间。应用该方法测定了衡山PM2.5中痕量金属元素的含量,讨论了痕量元素的浓度分布特征,对各元素进行了相关性分析,并应用富集因子法对来源进行了分析。     

Carbon trading thickness and market efficiency in a socialist market economy

Unlike the European Union emission trade system (EU ETS), China’s pilot ETSs implemented diversified policy designs instead of using a uniform framework. Variance ratio test is used to evaluate the Efficient Market Hypothesis (EMH) in China’s carbon trading markets. The results of two versions of variance ratio tests indicate that the carbon trading market in Hubei is considered weak form efficient, and the socialist market economy does not necessarily lead to market inefficiency in carbon trading markets. Thin trading activities generate market frictions and bias the Efficient Market Hypothesis (EMH) tests.     

北京市机动车排放遥感监测分析

机动车排放遥感监测反映实际道路行驶中的排放状况,对全面分析排放水平有很强的统计意义。北京市机动车排放遥感监测的CO、HC和NOx的平均浓度分别为1.94%、388×10-6和700×10-6。北京市机动车排放的CO、HC和NOx中50%分别来自于15.90%、13.98%、11.13%的高排放车,但某车辆对于一种污染物出现高排放并不意味着它对其他污染物也是高排放。根据遥感监测得到北京市轻型汽油车基于油耗的CO、HC和NOx平均尾气管排放因子分别为200.1g/L、11.05 g/L和6.68 g/L。     

Influence of social capital on farmer household income gap: total effect and structural effect

Based on the survey data of typical villages in Shaanxi Province, China, the effect of social capital on the income gap of farmers’ households was analyzed using the Shapley value of the total amount of social capital and the social capital structure. The results show the following: first, social capital can expand the household income gap, and the effect of this index on the household income gap is 7.54%. Second, the indexes of the social capital dimension can expand the household income gap, and the structural effects of the household income gap on social networks, social trust, and social participation are 3.17%, 3.64%, and 0.65%, respectively. Third, no dimension of the path is the same as the effect on the household income gap.