大力推广清洁能源——甲醇(M15)汽油

随着国际原油价格持续高位运行,实施能源的多元化战略已是当前世界各国政府做出的重要抉择.我国是一个缺油少气、相对富煤的国家,合理、高效、节能、安全的发展煤基替代燃料是我国能源发展的惟一出路,甲醇汽油是车用燃料替代,是新能源的重要组成部分.本文对此进行了论述.     

VOC emission caps constrained by air quality targets based on response surface model: A case study in the Pearl River Delta Region, China

Because of the recent growth in ground-level ozone and increased emission of volatile organic compounds (VOCs), VOC emission control has become a major concern in China. In response, emission caps to control VOC have been stipulated in recent policies, but few of them were constrained by the co-control target of PM_2.5 and ozone, and discussed the factor that influence the emission cap formulation. Herein, we proposed a framework for quantification of VOC emission caps constrained by targets for PM_2.5 and ozone via a new response surface modeling (RSM) technique, achieving 50% computational cost savings of the quantification. In the Pearl River Delta (PRD) region, the VOC emission caps constrained by air quality targets varied greatly with the NO_x emission reduction level. If control measures in the surrounding areas of the PRD region were not considered, there could be two feasible strategies for VOC emission caps to meet air quality targets (160 µg/m³ for the maximum 8-hr-average 90th-percentile (MDA8-90%) ozone and 25 µg/m³ for the annual average of PM_2.5): a moderate VOC emission cap with <20% NOx emission reductions or a notable VOC emission cap with >60% NO_x emission reductions. If the ozone concentration target were reduced to 155 µg/m³, deep NO_x emission reductions is the only feasible ozone control measure in PRD. Optimization of seasonal VOC emission caps based on the Monte Carlo simulation could allow us to gain higher ozone benefits or greater VOC emission reductions. If VOC emissions were further reduced in autumn, MDA8-90% ozone could be lowered by 0.3-1.5 µg/m³, equaling the ozone benefits of 10% VOC emission reduction measures. The method for VOC emission cap quantification and optimization proposed in this study could provide scientific guidance for coordinated control of regional PM_2.5 and O₃ pollution in China.     

Progress in quantitative research on the relationship between atmospheric oxidation and air quality

Atmospheric oxidizing capacity (AOC) is an essential driving force of troposphere chemistry and self-cleaning, but the definition of AOC and its quantitative representation remain uncertain. Driven by national demand for air pollution control in recent years, Chinese scholars have carried out studies on theories of atmospheric chemistry and have made considerable progress in AOC research. This paper will give a brief review of these developments. First, AOC indexes were established that represent apparent atmospheric oxidizing ability (AOIe) and potential atmospheric oxidizing ability (AOIp) based on aspects of macrothermodynamics and microdynamics, respectively. A closed study refined the quantitative contributions of heterogeneous chemistry to AOC in Beijing, and these AOC methods were further applied in Beijing-Tianjin-Hebei and key areas across the country. In addition, the detection of ground or vertical profiles for atmospheric OH·, HO₂·, NO₃· radicals and reservoir molecules can now be obtained with domestic instruments in diverse environments. Moreover, laboratory smoke chamber simulations revealed heterogeneous processes involving reactions of O₃ and NO₂, which are typical oxidants in the surface/interface atmosphere, and the evolutionary and budgetary implications of atmospheric oxidants reacting under multispecies, multiphase and multi-interface conditions were obtained. Finally, based on the GRAPES-CUACE adjoint model improved by Chinese scholars, simulations of key substances affecting atmospheric oxidation and secondary organic and inorganic aerosol formation have been optimized. Normalized numerical simulations of AOIe and AOIp were performed, and regional coordination of AOC was adjusted. An optimized plan for controlling O₃ and PM_2.5 was analyzed by scenario simulation.     

不同沉水植物净水能力与植株体细菌群落组成相关性

选取苦草(Vallisneria natans)、密刺苦草(Vallisneria denseserrulata)、黑藻(Hydrilla verticillata)、伊乐藻(Elodea canadensis)、金鱼藻(Ceratophyllum demersum)、竹叶眼子菜(Potamogeton malaianus)、篦齿眼子菜(Potamogeton pectinatus)和微齿眼子菜(Potamogeton maackianus)这8种亚热带地区常见的沉水植物为研究对象,在室内静水条件下对其氮、磷吸收和水质净化能力进行对比试验,并结合16S rRNA基因测序对沉水植物关联细菌群落组成进行测定,研究沉水植物对水体的净化能力与植株体菌群之间的相关性.结果表明,8种沉水植物对水体中的氮磷的去除主要通过植物增效作用,植物吸收富集作用去除率较低.其中密刺苦草对水体中TN、TP的去除率最高,达到了91. 58%和96. 81%.伊乐藻、金鱼藻对水中氮磷自身吸收能力高于其他组,密刺苦草和苦草的植物增效的净化能力最强.经分析,8种沉水植物对水体中氮磷的净化能力较强可能是因为植物关联的细菌大多具有降解作用.根瘤菌目(Rhizobiales)、伯克霍尔德氏菌目(Burkholderiales)、黄杆菌目(Flavobacteriales)、产碱杆菌科(Alcaligenaceae)、贪铜菌属(Cupriavidus)和芽孢杆菌属(Bacillales)的细菌可能是引起密刺苦草增效的净化能力较强的优势菌群,异常球菌纲(Deinococci)、丛毛单胞菌科(Comamonadaceae)、腐螺旋菌科(Saprospiraceae)和生丝微菌属(Hyphomicrobium)的细菌可能是引起苦草增效的净化能力较强的优势菌群.     

喀斯特地区小尺度农业土壤砷的空间分布及污染评价

贵州岩溶地貌分布广泛,部分地区的土壤砷(As)污染问题比较突出.为了解高As背景地区农业土壤As含量分布特征,选取贵州省兴义市西南部具有代表性的As污染区(典型喀斯特区、亚喀斯特区)为研究对象,并以非喀斯特区作为对照组,采用地统计分析与GIS相结合的方法研究农业土壤As的空间变异和污染状况,并采用Moran's I系数分析在小尺度下土壤As的空间自相关性及其方向性特征.结果表明,不同地貌区土壤中As含量从高到低依次为:典型喀斯特区亚喀斯特区非喀斯特区,其中典型喀斯特区农业土壤As的算术均值与几何均值分别为47. 9 mg·kg~(-1)和43. 3 mg·kg~(-1),亚喀斯特区其值分别为36. 8 mg·kg~(-1)和30. 1 mg·kg~(-1),两个区域农业土壤As含量明显高于贵州土壤As背景值,As的超标率分别为98. 5%和96. 7%,表现出明显的As累积,而非喀斯特区As超标率仅为6. 7%;独立样本T检验结果表明,在3个不同地貌类型中,农业土壤与自然土壤As含量均无显著性差异(P 0. 05).农业土壤As的Moran's I系数为0. 45,Z值为11. 61,在本采样尺度下具有显著的正空间自相关(P 0. 05),存在空间聚集,尤其是东北-西南方向空间自相关性较好,以结构性变异为主.农业土壤样本As总体上处于轻微污染至轻度污染之间,分别占27. 10%、29. 02%,部分地区处于中度污染级别,而处于无污染状态的样本占41. 94%.     

生态工程综合治理系统对农业小流域氮磷污染的治理效应

以典型农业小流域——开慧河流域源区为研究对象,基于研究区农业面源污染的主要排放特征,建立以生态湿地为主的小流域面源污染生态工程综合治理系统,重点探讨其对水体氮磷污染物的去除效果.结果表明,畜禽养殖业是开慧河流域源区水体氮磷污染物的主要来源,需要重点防控.组合生态湿地处理工程对农村分散式生活与养殖混合废水总氮(TN)、总磷(TP)的平均去除率为87. 1%和90. 9%;多级人工湿地拦截工程对农田排水与分散式养殖混合废水TN、TP的平均去除率为85. 7%和84. 9%;景观型生态湿地净化工程对末端汇水区水体中TN、TP的去除率在27. 1%～67. 4%和13. 3%～81. 5%之间.整个生态工程综合治理系统对流域TN和TP污染物的总拦截量分别为5 292 kg·a~(-1)和1 054 kg·a~(-1),占研究区农业面源TN、TP总污染负荷的35. 3%和43. 6%.因此,构建的生态工程综合治理系统对流域农业面源氮磷污染具有较好的治理效应,适合在我国南方小流域水环境治理中推广应用.     

江苏省一次典型沙尘污染过程分析

2021年4月16日至4月18日江苏省经历了一次受沙尘影响的重污染过程.本次过程沙源地为蒙古国中南部及中国内蒙古中西部地区,在蒙古气旋后部西北大风影响下,沙尘气团自西北向东南影响了中国多个省市和地区.江苏省自16日起逐渐受到沙尘过程影响,苏北城市ρ(PM10)从凌晨开始迅速升高,浓度最高达569μg/m3,空气质量达严重污染级别.17日,受蒙古气旋后部冷高压带来的偏北风影响,沙尘气团位置明显南移,多数沿江城市PM10开始上升,空气质量达中度污染级别.至17日夜间,本次影响江苏省的沙尘过程基本结束.沙尘影响期间,江苏各市不仅ρ(PM10)浓度快速上升,同时ρ(PM2.5)/ρ(PM10)比值也明显下降,由受沙尘影响前的介于0.60～0.75之间迅速降至介于0.15～0.23之间.     

Distribution and chemical speciation of arsenic in different sized atmospheric particulate matters

The distribution and chemical speciation of arsenic (As) in different sized atmospheric particulate matters (PMs), including total suspended particles (TSP), PM₁₀, and PM_2.5, collected from Baoding, China were analyzed. The average total mass concentrations of As in TSP, PM₁₀, and PM_2.5 were 31.5, 35.3, and 54.1 µg/g, respectively, with an order of PM_2.5 >PM ₁₀ > TSP, revealing that As is prone to accumulate on fine particles. Due to the divergent toxicities of different As species, speciation analysis of As in PMs is further conducted. Most of previous studies mainly focused on inorganic arsenite (iAs^III), inorganic arsenate (iAs^V), monomethylarsonate (MMA), and dimethylarsinate (DMA) in PMs, while the identification and sensitive quantification of trimethylarsine oxide (TMAO) were rarely reported. In this study, a high-performance liquid chromatography coupled to inductively coupled plasma mass spectrometry system was optimized for As speciation including TMAO in PMs. An anion exchange column was used to separate MMA, DMA and iAs^V, while a cation exchange column to separate TMAO and iAs^III. Results showed that iAs^V was the dominate component in all the samples, corresponding to a portion of 79.2% ± 9.3% of the total extractable species, while iAs^III, TMAO and DMA made up the remaining 21%. Our study demonstrated that iAs^III accounted for about 14.4% ± 11.4% of the total extracted species, with an average concentration of 1.7 ± 1.6 ng/m³. It is worth noting that TMAO was widely present in the samples (84 out of 97 samples), which supported the assumption that TMAO was ubiquitous in atmospheric particles.     

Spatiotemporal variations of ambient air pollutants and meteorological influences over typical urban agglomerations in China during the COVID-19 lockdown

To investigate the air quality change during the COVID-19 pandemic, we analyzed spatiotemporal variations of six criteria pollutants in nine typical urban agglomerations in China using ground-based data and examined meteorological influences through correlation analysis and backward trajectory analysis under different responses. Concentrations of PM_2.5, PM₁₀, NO₂, SO₂ and CO in urban agglomerations respectively decreased by 18%–45% (30%–62%), 17%–53% (22%–39%), 47%-64% (14%–41%), 9%–34% (0%–53%) and 16%-52% (23%–56%) during Lockdown (Post-lockdown) period relative to Pre-lockdown period. PM_2.5 pollution events occurred during Lockdown in Beijing-Tianjin-Hebe (BTH) and Middle and South Liaoning (MSL), and daily O₃ concentration rose to grade Ⅱ standard in Post-lockdown period. Distinct from the nationwide slump of NO₂ during Lockdown period, a rebound (～40%) in Post-lockdown period was observed in Cheng-Yu (CY), Yangtze River Middle-Reach (YRMR), Yangtze River Delta (YRD) and Pearl River Delta (PRD). With slightly higher wind speed compared with 2019, the reduction of PM_2.5 (51%–62%) in Post-lockdown period is more than 2019 (15%–46%) in HC (Harbin-Changchun), MSL, BTH, CP (Central Plain) and SP (Shandong-Peninsula), suggesting lockdown measures are effective to PM_2.5 alleviation. Although O₃ concentrations generally increased during the lockdown, its increment rate declined compared with 2019 under similar sunlight duration and temperature. Additionally, unlike HC, MSL and BTH, which suffered from additional (> 30%) air masses from surrounding areas after the lockdown, the polluted air masses reaching YRD and PRD mostly originated from the long-distance transport, highlighting the importance of joint regional governance.