建设项目职业病危害评价现状及对策

职业卫生评价按其评价内容的不同,可分为建设项目职业病危害评价、生产过程中的职业病危害评价、职业病防护设施及防护用品评价、职业健康监护评价等.     

Atmospheric deposition of 137Cs between 1994 and 2002 at Cienfuegos, Cuba

Levels of 137Cs in total atmospheric deposition have been measured in the Cienfuegos region (Cuba) between 1994 and 2002. Samples were collected every three months, evaporated to dryness to obtain residual samples, and measured by gamma spectrometry. The 137Cs mean concentration in total deposition was 0.24 Bq m(-2) and data ranged between < 0.05 and 0.62 Bq m(-2). Precipitation rates and raintime have proved to be the most important factors controlling the concentration and depositional flux of 137Cs in the atmosphere over Cienfuegos, showing a high correlation coefficient (R = 0.93).     

废水处理用微电解规整化填料的制备

以黏土、铁屑和活性炭为原料,加入一定量的添加剂,以水为黏合剂造粒,在一定温度下焙烧制成颗粒状微电解规整化填料。实验结果表明：在黏土、铁屑、活性炭的体积比为2：4：4、氯化铵为添加剂、添加量为0．5％（质量分数）、焙烧温度为600℃的条件下,制备的微电解规整化填料具有最佳的废水处理效果。用该填料处理低浓度染料废水（废水COD为591．5mg／L）,COD去除率可达75％以上。     

持久性有机污染物(POPs)研究进展

对持久性有机污染物的定义、特点、种类和危害进行了介绍,分析了这些物质在全球自然界中存在的量和来源,阐述了POPs在区域或全球的迁移、循环模式以及POPs的预测模型,提出了对目前和将来POPs控制的研究对策和一些意见。     

城市绿地系统植物生态功能评价及其应用——以苏州市为例

城市绿地植物作为城市生态系统的重要组成,在改善城市生存环境和维持生态平衡方面发挥着重要作用,在城市生态系统中具有其他子系统不可替代的特殊生态功能。文章以苏州市为例,采取分层随机抽样调查的方法选取了道路、公园、居住小区共计30个具有代表性的样本区进行调查,并结合苏州市实际情况,筛选出吸硫能力、滞尘能力、抗污能力、增湿能力、环境卫生等9个评价指标,运用综合指数评价法对30个样本区中40种常见植物进行评价。结果表明苏州市绿地系统植物生长现状及其总体生态功能较好,绿化植物综合评价指数达到中等以上水平的占80％,其中乔木占所调查乔木总数的100％。文章最后对苏州市绿地系统结构优化及植物物种配置等方面提出了建议。     

雄安新区土壤重金属污染特征及健康风险

为了解雄安新区表层土壤重金属污染特征及潜在生态风险状况,系统采集和分析测试区内土壤样品600件,采用富集因子、地累积指数、综合污染指数、潜在生态危害指数和健康风险评估模型,对土壤重金属污染程度、潜在生态风险和健康风险进行评估.结果表明,各项重金属富集因子(EF)均值小于2,从高至低顺序为Hg>Cd>Cu>Pb>Ni>Z...     

柴油污染包气带的气相抽提影响因素

气相抽提(SVE)是一种经济、高效的土壤原位修复技术。为了研究介质、介质含水率和通风方式对SVE去除效率的影响,并探讨实验运行过程中包气带不同深度柴油浓度的变化规律,实验利用了有机玻璃柱模拟包气带环境,开展柴油污染的SVE实验。结果表明,对于不同介质,SVE去除粗砂中柴油的效率高于中砂;不同含水率,含水率为1%的粗砂中柴油的去除率大于含水率为12%的粗砂;不同的通风方式,连续通风的效率大于间歇通风。此外,不同深度介质均出现柴油浓度先升高后降低的趋势。     

满足《生活垃圾填埋污染控制标准》的生活垃圾焚烧飞灰重金属药剂稳定化研究

基于<生活垃圾填埋污染控制标准>(GB 16889-2008)对生活垃圾焚烧飞灰(以下简称飞灰)的豁免管理规定,选用磷酸盐组合药剂和硫基螯合剂对飞灰进行重金属稳定化实验,考察了2类药剂对飞灰重金属的稳定效果.寻求达到最佳重金属稳定效果的药剂添加量,同时分析了稳定化飞灰进入生活垃圾填埋场时初期渗滤液中的重金属浸出情况.结...     

受限空间燃料电池车辆氢气泄漏与燃爆研究现状

燃料电池车辆高效环保,但其高压储氢罐会带来泄漏及燃爆风险。车库、隧道等受限空间是实际运行中常见场景,受限空间将改变燃料电池车辆氢气泄漏后扩散积聚、射流燃烧与气云爆炸的演化特性。针对这一现状,总结了国内外研究人员对受限空间燃料电池车辆氢泄漏、射流燃烧与气云爆炸的研究;分析了国内外现有标准与指南,归纳出受限空间内燃料电池车辆的安全措施,为燃料电池车辆安全运行与风险评估提供技术支持。     

Pollution levels, composition characteristics and sources of atmospheric PM2.5 in a rural area of the North China Plain during winter

The pollution levels, composition characteristics and sources of atmospheric PM_2.5 were investigated based on field measurement at a rural site in the North China Plain (NCP) from pre-heating period to heating period in winter of 2017. The hourly average concentrations of PM_2.5 frequently exceeded 150 µg/m³ and even achieved 400 µg/m³, indicating that the PM_2.5 pollution was still very serious despite the implementation of stricter control measures in the rural area. Compared with the pre-heating period, the mean concentrations of organic carbon (OC), element carbon (EC) and chlorine ion (Cl^?) during the heating period increased by 20.8%, 36.6% and 38.8%, accompanying with increments of their proportions in PM_2.5 from 37.5%, 9.8% and 5.5% to 42.9%, 12.7% and 7.2%, respectively. The significant increase of both their concentrations and proportions during the heating period was mainly ascribed to the residential coal combustion. The proportions of sulfate, nitrate and ammonium respectively increased from 9.9%, 10.9% and 9.0% in nighttime to 13.8%, 16.2% and 11.1% in daytime, implying that the daytime photochemical reactions made remarkable contributions to the secondary inorganic aerosols. The simulation results from WRF-Chem revealed that the emission of residential coal combustion in the rural area was underestimated by the current emission inventory. Six sources identified by positive matrix factorization (PMF) based on the measurement were residential coal combustion, secondary formation of inorganic aerosols, biomass burning, vehicle emission and raising dust, contributing to atmospheric PM_2.5 of 40.5%, 21.2%, 16.4%, 10.8%, 8.6% and 2.5%, respectively.