炼油污水的深度处理技术研究

提出了一种经济合理的炼油污水深度处理工艺“浮选-生物过滤-臭氧催化氧化-高效过滤”。对辽河石化分公司污水场生化二沉池出水进行了中试处理试验,研究结果表明,出水的主要几项污染指标COD、油、浊度有明显的降低,可达到工业用水的要求。其中COD由原水的70mg／L～180mg／L降到15mg／L以下,油含量由原水的2．5mg／L～5．6mg／L降到0．5mg／L以下,总铁离子由原水的1．5mg／L降到O．3mg／L以下,总磷由原水的1～1．5mg／L降到O．5mg／L以下,试验效果比较理想。     

Vehicle emissions of primary air pollutants from 2009 to 2019 and projection for the 14th Five-Year Plan period in Beijing, China

Over the past decade, the emission standards and fuel standards in Beijing have been upgraded twice, and the vehicle structure has been improved by accelerating the elimination of 2.95 million old vehicles. Through the formulation and implementation of these policies, the emissions of carbon monoxide (CO), volatile organic compounds (VOCs), nitrogen oxides (NO_x), and fine particulate matter (PM_2.5) in 2019 were 147.9, 25.3, 43.4, and 0.91 kton in Beijing, respectively. The emission factor method was adopted to better understand the emissions characteristics of primary air pollutants from combustion engine vehicles and to improve pollution control. In combination with the air quality improvement goals and the status of social and economic development during the 14th Five-Year Plan period in Beijing, different vehicle pollution control scenarios were established, and emissions reductions were projected. The results show that the emissions of four air pollutants (CO, VOCs, NO_x, and PM_2.5) from vehicles in Beijing decreased by an average of 68% in 2019, compared to their levels in 2009. The contribution of NO_x emissions from diesel vehicles increased from 35% in 2009 to 56% in 2019, which indicated that clean and energy-saving diesel vehicle fleets should be further improved. Electric vehicle adoption could be an important measure to reduce pollutant emissions. With the further upgrading of vehicle structure and the adoption of electric vehicles, it is expected that the total emissions of the four vehicle pollutants can be reduced by 20%-41% by the end of the 14th Five-Year Plan period.     

海岸地区三维风场与污染物输送扩散模式

首先建立了一个复杂地形条件下的中尺度三维边界层预报模式,模拟研究了局地海陆风环流条件下的三维风场。并将其输出直接作为一个三维欧拉数值模式的输入,以模拟沿海地区海陆风演变过程中,空气污染物(SO_2)浓度的时空分布。为更接近实际,还专门建立了一个只需少量常规气象资料输入的背景风诊断模式。较好地完成了这三个模式间的联接。实例模拟计算的结果表明,此联接模式是行之有效的。     

城市空气质量数值预报方法研究

城市空气质量数值预报,在时空分辨率和预报客观性方面具有明显优势,是未来城市空气质量预报的主要发展方向。以济南市为例,探索建立了一套较为成熟的城市空气质量数值预报方法。该方法采用高分辨率对流层化学模式系统为预报模式基础,同时根据济南市特点对模式系统进行修正,取得了较好的预报效果。此外,该模式系统由于能够较为准确地模拟城市范围内污染物的时空分布,在城市空气污染防治规划方面具有较为广泛的应用前景。     

高效加压溶气气浮工艺在炼油污水处理中的应用

通过对传统溶气气浮工艺及高效加压溶气气浮工艺（SUPR-DAF）的工作原理、工艺流程、气浮效果、运行管理、技术经济等方面加以比较、分析，显示出SUPR-DAF工艺的高效性、灵活性、优越性。该工艺可适用于任何改建、扩建、新建的炼油污水处理项目。     

空气氧化法处理碱渣的应用研究

采用低压空气氧化法使废碱液中的S^2-,SR-转变为S2O3^2-,RSSR，该过程能否成功操作取决于温度，压力和空气与水的接触，尤其是空气与水的传质速度将会较大的影响硫化物的氧化去除速率和空气中氧气的利用率。     

采用门限自回归模型预测环境空气质量

应用汤家豪博士提出的门限自回归模型，以上海市环境空气质量时间序列监测数据和相应的气象数据，建立门限自回归大气污染预测模型，对上海市环境空气质量进行预测预报。结果表明：门限自回归模型计算较为简便且便于计算机自动建模。显著性检验表明门限自回归预报方程高度显著，在实际应用中，采用最新的数据建模和采用分站建立模型的方法可以使预测精度进一步提高。     

Monitoring the levels of brominated and organophosphate flame retardants in passenger cars: Utilisation of car air filters as active samplers

Filters in residential and office air conditioning(A/C) systems have been used as sampling devices for monitoring different pollutants.However,cabin air filters(CAFs) in the A/C system of passenger cars have not been utilised for this purpose.In this study,we collected22 used CAFs from passenger cars in Hanoi,Vietnam to analyse for 8 polybrominated diphenyl ethers(PBDEs) and 10 organophosphate esters(OPEs).All the analytes were detected in more than 50% of samples with the exception of BDE153 and BDE154.The average concentrations of ∑_(10)OPEs and ∑_8 BDEs in the captured dust were 2600 and 40 ng/g,respectively with Tris(1-chloro-2-propyl) phosphate(TCIPP) and BDE209 as the dominant congener in OPE and BDE groups,respectively.CAFs are a potential tool to qualitatively assess the levels of semi-volatile chemicals in suspended dust in cars as a screening step for exposure assessment of those chemicals.     

大气污染防治行动对哈尔滨常规大气污染物的影响

自2013年我国实施《大气污染防治行动计划》以来,我国大气中常规污染物的浓度逐年降低,环境空气质量得到了显著改善.哈尔滨市2014年以来,也陆续实施了《清洁空气行动计划》、《大气污染防治专项行动计划（2016─2018）》和《打赢蓝天保卫战三年行动计划》.本文基于哈尔滨市2015—2019年6种常规大气污染物在国控站点的浓度数据,对其污染特征和年际变化规律进行了深入研究.结果表明,PM_2.5、PM₁₀、SO₂、NO₂和CO的浓度呈现显著下降的趋势,而O₃的浓度却呈现上升的趋势.相关性分析表明大部分污染物与温度、湿度、降雨和风速均具有显著的相关性,反映了气象参数对于大气中常规污染物浓度的影响.谐波回归模型的结果表明,污染物的浓度具有明显的季节变化趋势和年际变化趋势,PM_2.5、PM₁₀、SO₂、NO₂和CO的半衰期分别为5.05±0.310、7.81±0.640、6.32±0.312、6.58±0.297和8.13±0.442年,O₃的倍增期为10.0±1.02年.结合哈尔滨近几年实施的大气污染防治行动计划,表明大气污染源的有效控制是常规大气污染物浓度持续下降的主要原因.