Year-round observation of atmospheric inorganic aerosols in urban Beijing: Size distribution, source analysis, and reduction mechanism

To investigate particle characteristics and find an effective measure to control severe particle pollution, year-round observation of size-segregated inorganic aerosols was conducted in Beijing from January to December, 2016. The sampled atmospheric particles all presented bimodal size distribution at four pollution levels (clear, slight pollution, moderate pollution and severe pollution), and peak values appeared at the size range of 0.7-2.1 μm and >9.0 μm, respectively. As dominant particle compositions, NO₃⁻, SO₄²⁻, and NH₄⁺ in four pollution levels all showed significant peaks in fine mode, especially at the size range of 1.1-2.1 μm. Secondary inorganic aerosols accounted for about 67.6% (36.3% (secondary sulfates) + 31.3% (secondary nitrates)) of the total sources of fine particles in urban Beijing. Severe pollution of fine particles was mainly caused by the air masses transported from nearby western and southern areas, which are industrial and densely populated region, respectively. Sensitivity tests further revealed that the control measures focusing on ammonium emission reduction was the most effective for particle pollution mitigation, and fine particles all showed nonlinear responses after reducing ammonium, nitrate, and sulfate concentrations, with the fitting curves of y = -120.8x - 306.1x² + 290.2x³, y = -43.5x - 67.8x², and y = -25.8x - 110.4x² + 7.6x³, respectively (y and x present fine particle mass variation (μg/m³) and concentration reduction ratio (CRR)/100 (dimensionless)). Overall, our study presents useful information for understanding the characteristics of atmospheric inorganic aerosols in urban Beijing, as well as offers policy makers with effective measure for mitigating particle pollution.     

固体废物全过程精细化环境风险评估框架研究

伴随着我国经济发展和城镇化进程,固体废物产生呈强度高、利用不充分的状态,造成了严重的资源浪费和环境污染. 随着风险意识的加强,准确评估固体废物的环境风险,已经成为确定固体废物管控目标、边界、优先序的重要基础. 由于固体废物的特性复杂、处理链条长、流动过程受区域发展特征的影响,其环境风险呈现风险因子多元、空间异质性强、不确定性高、易产生长期累积性风险等规律. 现有的固体废物环境风险评估大多基于源项分析,针对特定环节或设施开展定量或半定量的污染物暴露与健康风险评估,缺乏对全过程的系统性分析,无法从全局及区域上综合评估固体废物的环境风险水平. 因此,本文提出固体废物全过程精细化环境风险评估框架,包括固体废物全生命周期路径梳理及特征识别、风险因子及其释放转运过程辨析、受体的最大可接受环境风险水平评估、基于多评价指标的固体废物环境风险的量化,以期为实现固体废物环境风险精细化管控提供支撑.      

长沙市灰霾天气与气象因子相关性研究

根据长沙市2013年PM2.5的逐日质量平均浓度、气象地面和高空观测数据,采用SPSS方法,分析了长沙市灰霾天气发生与气象因子的关系。结果表明:长沙市区的灰霾日以西北风向为主,PM2.5浓度与风速、降水呈显著负相关,与相对湿度、大气压、平均气温相关不明显。风速越小越不利于大气污染物的扩散,在没有降水的情况下,风速达到3.5m/s以上,空气质量才有好转;弱降水对污染物的浓度不会有明显的影响,降水量在5mm以下时,污染物的浓度不会有明显的下降,但强降水对空气有净化作用明显,在不同季节,不同时段,不同天气形势下降水的稀释作用不同;长沙秋冬季边界层稳定性几率高达80%以上,这种稳定层结构是长沙市区各种大气污染源不易扩散的重要因素之一。     

Global Trend of Low-carbon Economy and China's Responses

Based on the analysis on the global economic crisis,climate change crisis and their mutual underlying reasons,the authors believe that low-carbon economy has become an inevitable choice to break through the dual crises,coordinate the economic development,and protect the global climate.The global trend of low-carbon economy finds expression in Green Recovery currently,while,in a long run,it will give rise to a new pattern of world competition in politics,economy,technology,trade and finance.The impact of the...     

Medical waste management in China: A case study of Nanjing

Medical waste management is of great importance due to its infectious and hazardous nature that can cause undesirable effects on humans and the environment. The objective of this study was to analyze and evaluate the present status of medical waste management in the light of medical waste control regulations in Nanjing. A comprehensive inspection survey was conducted for 15 hospitals, 3 disposal companies and 200 patients. Field visits and a questionnaire survey method were implemented to collect information regarding different medical waste management aspects, including medical waste generation, segregation and collection, storage, training and education, transportation, disposal, and public awareness.The results indicated that the medical waste generation rate ranges from 0.5 to 0.8 kg/bed day with a weighted average of 0.68 kg/bed day. The segregated collection of various types of medical waste has been conducted in 73% of the hospitals, but 20% of the hospitals still use unqualified staff for medical waste collection, and 93.3% of the hospitals have temporary storage areas. Additionally, 93.3% of the hospitals have provided training for staff; however, only 20% of the hospitals have ongoing training and education. It was found that the centralized disposal system has been constructed based on incineration technology, and the disposal cost of medical waste is about 580 US$/ton. The results also suggested that there is not sufficient public understanding of medical waste management, and 77% of respondents think medical waste management is an important factor in selecting hospital services.The problematic areas of medical waste management in Nanjing are addressed by proposing some recommendations that will ensure that potential health and environmental risks of medical waste are minimized.     

新疆哈密马庄山金矿区次火山岩及其地球化学特征

马庄山金矿区位于星星峡一卡瓦布拉克地块、古生代岛弧东段北侧活动大陆边缘，有多种火山宕、次火山岩和侵入岩，而与金矿成矿关系最为密切的是海西中、晚期次火山岩。该矿区次火山岩有花岗闪长斑岩、石英斑岩、花岗斑岩、隐爆角砾岩（简称花岗质岩）和辉绿岩。因此，在区域地质背景和矿区地质特征分析基础上，着重对次火山岩及其地球化学特征进行系统研究，结果认为．该矿区花岗质岩为高硅富钾贫铝钙碱性同熔（1）型花岗岩类，岩浆源区来自中下地壳；辉绿岩则为富钠碱性正常型基性岩类，岩浆源区来自下地壳。前者含Co、Pb、Zn、Sn、As、Bi、W、Mo、An、Ag、Tc等元素较高，有重要找矿前景；后者含Ba、Pb、Zn、Tl、As、Bi、Au、Ag、Tc等元素较高，也可为成矿提供物源。这些认识，对该区次火山岩特征、性质、成矿关系和构造背景，以及进一步找矿都有重要理论和实践指导意义。     

土地利用变化对贵州印江喀斯特小流域水体DIC含量及δ~(13)C_(DIC)的影响

以印江流域水体为研究对象,分别于2014年夏季和冬季采集印江河主干与支流表层水样品,测定并分析其基本物理化学参数、主量离子浓度和溶解性无机碳(DIC)含量及其碳同位素组成(δ~(13)C_(DIC)),结合流域内不同的气候条件和土地利用强度与方式等生态环境条件,对表层水体中DIC的来源及其时空变化特征进行探讨。结果表明:印江河流域表层水p H值呈中性到碱性,水化学组成主要受碳酸盐岩风化的控制,阳离子主要以Ca~(2+)、Mg~(2+)为主,阴离子主要以HCO-3为主,而且主量离子在冬夏季表现出较为显著的差异。印江河流域干、支流水体DIC和主量离子含量向下游总体呈现递增趋势,并随季节呈现夏低冬高的变化趋势,可能与研究区水体上游土地利用强度低而下游存在大量的农耕用地以及当地冬夏季降雨量差异有关。相比之下,印江河流域干流水体δ~(13)C_(DIC)均值为-10.39‰、支流水体δ~(13)C_(DIC)均值为-8.29‰,差异相对显著,反映了作为源头支流水体主要受碳酸盐岩风化影响,支流汇入干流水体过程周边土地利用强度增大、方式多样,影响较为明显。而且该流域干、支流水体δ~(13)C_(DIC)的季节性差异显著,支流水体DIC主要由于水-岩交换在冬季更加富集13C,而干流水体DIC则主要由于生物量效应在夏季相对富集13C,极有可能与当地土地利用强度和方式的季节性变化有关。