Progressively narrow the gap of PM2.5 pollution characteristics at urban and suburban sites in a megacity of Sichuan Basin, China

Nowadays, the fine particle pollution is still severe in some megacities of China, especially in the Sichuan Basin, southwestern China. In order to understand the causes, sources, and impacts of fine particles, we collected PM_2.5 samples and analyzed their chemical composition in typical months from July 2018 to May 2019 at an urban and a suburban (background) site of Chengdu, a megacity in this region. The daily average concentrations of PM_2.5 ranged from 5.6-102.3 µg/m³ and 4.3-110.4 µg/m³ at each site. Secondary inorganics and organic matters were the major components in PM_2.5 at both sites. The proportion of nitrate in PM_2.5 has exceeded sulfate and become the primary inorganic component. SO₂ was easier to transform into sulfate in urban areas because of Mn-catalytic heterogeneous reactions. In contrast, NO₂ was easily converted in suburbs with high aerosol water content. Furthermore, organic carbon in urban was much greater than that in rural, other than elemental carbon. Element Cr and As were the key cancer risk drivers. The main sources of PM_2.5 in urban and suburban areas were all secondary aerosols (42.9%, 32.1%), combustion (16.0%, 25.2%) and vehicle emission (15.2%, 19.2%). From clean period to pollution period, the contributions from combustion and secondary aerosols increased markedly. In addition to tightening vehicle controls, urban areas need to restrict emissions from steel smelters, and suburbs need to minimize coal and biomass combustion in autumn and winter.     

The transformation of outdoor ammonium nitrate aerosols in the indoor environment

Recent studies associate particulate air pollution with adverse health effects; however, the exposure to indoor particles of outdoor origin is not well characterized, particularly for individual chemical species. We conducted a field study in an unoccupied, single-story residence in Clovis, California to provide data and analyses to address issues important for assessing exposure. We used real-time particle monitors both outdoors and indoors to quantify nitrate, sulfate, and carbon particulate matter of particle size 2.5 μm or less in diameter (PM-2.5). The results show that measured indoor ammonium nitrate concentrations were significantly lower than would be expected based solely on penetration and deposition losses. The additional reduction can be attributed to the transformation indoors of ammonium nitrate into ammonia and nitric acid gases, which are subsequently lost by deposition and sorption to indoor surfaces. A mass balance model that accounts for the kinetics of ammonium nitrate evaporation was able to reproduce measured indoor ammonium nitrate and nitric acid concentrations, resulting in a fitted value of the deposition velocity for nitric acid of 0.56 cm s⁻¹. The results indicate that indoor exposure to outdoor ammonium nitrate in Central Valley of California are small, and suggest that exposure assessments based on total particle mass measured outdoors may obscure the actual causal relationships for indoor exposure to particles of outdoor origin.     

光纤化学传感器的实验研究

主要研究对象为基于离子选择性中性载体的无机离子化学传感器，采用以吸光度为主要测量信号的分光光度法为主要分析方法。依据该传感器的特征，可使分析光束与被测溶液分开，甚至对不透明的液体作分光光度分析。为此，在离子选择性中性载体PVC膜的响应特征基础上设计并研制一种新型结构的光吸收池，应用前景广阔。     

PM2.5 chemical source profiles for vehicle exhaust, vegetative burning, geological material, and coal burning in Northwestern Colorado during 1995

PM_2.5 (particles with aerodynamic diameters less than 2.5 μm) chemical source profiles applicable to speciated emissions inventories and receptor model source apportionment are reported for geological material, motor vehicle exhaust, residential coal (RCC) and wood combustion (RWC), forest fires, geothermal hot springs; and coal-fired power generation units from northwestern Colorado during 1995. Fuels and combustion conditions are similar to those of other communities of the inland western US. Coal-fired power station profiles differed substantially between different units using similar coals, with the major difference being lack of selenium in emissions from the only unit that was equipped with a dry limestone sulfur dioxide (SO₂) scrubber. SO₂ abundances relative to fine particle mass emissions in power plant emissions were seven to nine times higher than hydrogen sulfide (H₂S) abundances from geothermal springs, and one to two orders of magnitude higher than SO₂ abundances in RCC emissions, implying that the SO₂ abundance is an important marker for primary particle contributions of non-aged coal-fired power station contributions. The sum of organic and elemental carbon ranged from 1% to 10% of fine particle mass in coal-fired power plant emissions, from 5% to 10% in geological material, >50% in forest fire emissions, >60% in RWC emissions, and >95% in RCC and vehicle exhaust emissions. Water-soluble potassium (K⁺) was most abundant in vegetative burning profiles. K⁺/K ratios ranged from 0.1 in geological material profiles to 0.9 in vegetative burning emissions, confirming previous observations that soluble potassium is a good marker for vegetative burning.     

A comparison of chemical MSW compositional data between China and Denmark

Chemical waste compositions are important for municipal solid waste management, as they determine the pollution potentials from different waste strategies. A representative dataset for chemical characteristics of individual waste fractions is frequently required to assess chemical waste composition, but it is usually reported in developed countries and not in developing countries. In this study, a dataset for Chinese waste was established through careful data screening and assessment, named as CN dataset. Meanwhile, a dataset for Danish waste (DK dataset) was also summarized based on previous studies. In order to quantitatively evaluate the reliabilities of CN and DK datasets, the chemical waste compositions in four Chinese cities were estimated by utilizing both of them, respectively. It is indicated that the usage of CN datasets led to significantly lower discrepancies from the actual values based on laboratory analysis in most cases. Within the datasets, the moisture contents of food waste, paper, textiles, and plastics, the carbon content of food waste, as well as the oxygen content of plastics would induce significant divergences, which should be paid special attention when gathering the information. In addition, the fractional waste compositions in China showed similar features with other developing countries but differ significantly with developed countries. Thus the above-mentioned conclusions could also be true in other developing countries.     

香料生产废水的生化处理研究

某合成洋茉莉醛香料厂的生产废水中含有香料、香料副产品、降解物以及原辅材料,具有CODcr浓度高、水质波动大以及水中污染物成分复杂等特点,属于典型的高浓度难降解有机废水,而该厂现有的废水处理工艺不仅流程长、费用高且出水难以达到GB8978—1996一级排放标准。本文采用活性污泥法及MBR工艺研究了洋茉莉醛香料废水的处理效果及其影响因素,并结合GC—MS对降解产物进行了分析。试验结果表明：采用本文方法对洋茉莉醛香料废水有较好的降解作用,可经较少的步骤处理实现达标排放。     

化学法除磷的试验研究

探讨了含磷废水在添加不同药剂、不同试验条件下的的处理效率;研究表明:石灰法除磷在〔Ca2+/TP〕(摩尔比)为2:1时,pH值控制在10.0左右,TP的去除率达到96%以上;三氯化铁除磷时控制〔Fe3+/TP〕为2:1,pH值为7.0,TP的去除率能达到96%;硫酸亚铁与活性污泥协同除磷效果优于三氯化铁。     

基于物料衡算法的复杂化工过程产排污量核算软件的开发及应用

物料衡算法是污染源普查技术规定的污染物排放量核算的一种重要方法,但对于复杂的化工过程,物料衡算法的难度和计算工作量均很大,难以为基层环境监察人员掌握和运用,同时运用物料衡算进行污染物排放量核算的可靠性,也很难保证。结合排污量核定实践,综合进行物料衡算的技巧和一般方法,科学地模化物质转化转移过程,以此为基础,应用Visual Basic高级计算机语言编制了针对复杂化工过程的物料衡算计算软件,并以沈阳某制药有限公司的脑复康生产过程为原型,利用实测资料对计算模型进行了验证,应用该软件计算某制药厂VC生产线等4条生产线的产排污量核算。该软件应用简便,可以方便快捷地进行复杂化工过程的物料衡算,并可以分析生产过程中的主要产污环节,为提高清洁生产水平提供科学依据。     

化肥污染与防治

随着农业发展,化肥的用量越来越大,大量化肥进入环境中,必然对环境造成污染。本文着重探讨化肥对水、空气、土壤及人畜的污染及危害,提出防治化肥污染的措施。     

富营养化水体中微囊藻毒素（MCs）去除技术研究进展

当前,随着工业的发展水体富营养化程度日益严重。引起富营养化的主要藻类一蓝藻,能够释放对人体及鱼类具有多器官毒性、遗传性和致癌性的毒素——微囊藻毒素（MCs）。MCs治理技术种类繁多,传统的物理法如：混凝沉淀、膜过滤、活性炭吸附、气浮以及直接过滤只能对简单的处理细胞内的MCs;化学氧化法、光催化氧化法以及高级氧化法虽然能有效处理水体中的MCs．但有成本高、易二次污染和操作复杂等缺点,难以满足日益严格的环保要求;生物酶法除了具有生物降解法所具有的廉价、无二次污染、降解彻底和易操作等特点外,还被刺用来监控水体中MCs,它将成为今后重点研究的技术领域．