Characterization and source identification of submicron aerosol during serious haze pollution periods in Beijing

Submicron aerosol is of extensive concern not only due to its significant impact on air quality but also because it is detrimental to human health. In this study, we investigated the characteristics, sources and chemical processes of submicron aerosol based on realtime online measurements of submicron aerosols（NR-PM 1） during December 2015 at an urban site in Beijing. The average mass concentration of NR-PM 1 was 92.5 ±84.9 μg/m³, the hourly maximum was 459.1 μg/m³ during t...     

2017年江苏省PM2.5数值模拟及内外源解析

根据江苏省72个国控点监测数据,采用了区域大气模式和多尺度空气质量模式系统(RAMS-CMAQ)模拟了2017年江苏省ρ(PM_2.5)的时空分布,耦合综合源追踪算法(ISAM)分析了不同地区排放源对ρ(PM_2.5)的贡献特征。结果表明,PM_2.5模拟与观测值的相关系数(r)=0.76,标准平均偏差(NMB)=5.2%,均方根误差(RMSE)=23.4μg/m₃,模拟结果落于观测结果0.5~2倍的比例(FAC2)=84.2%。源追踪模块结果显示,夏季主要受东南风控制,本地排放的贡献更大(省内贡献为52.34%),其他季节受偏北风输送影响,外源输送的影响较大(省外贡献为53.48%~56.84%);冬季苏北5市的排放贡献比沿江8市的更大,而春、夏季沿江8市排放贡献较大。     

镇江市挥发性有机物污染特征及来源分析

利用镇江市2019年4—10月市区4个空气质量国控站点VOCs监测数据,对大气中70种VOCs的组分特征、时间与区域变化进行分析,并用比值法研究VOCs来源特征。结果表明,4个站点PAMS组分的测定值为17.7 μg/m3~27.5μg/m3,醛酮类组分为15.4 μg/m3~165 μg/m3。各站点VOCs来源侧重点略有不同,主要来源是工业源、交通源、溶剂涂料的使用等。     

Emergy algebra: Improving matrix methods for calculating transformities

Transformity is one of the core concepts in Energy Systems Theory and it is fundamental to the calculation of emergy. Accurate evaluation of transformities and other emergy per unit values is essential for the broad acceptance, application and further development of emergy methods. Since the rules for the calculation of emergy are different from those for energy, particular calculation methods and models have been developed for use in the emergy analysis of networks, but double counting errors still occur because of errors in applying these rules when estimating the emergies of feedbacks and co-products. In this paper, configurations of network energy flows were classified into seven types based on commonly occurring combinations of feedbacks, splits, and co-products. A method of structuring the network equations for each type using the rules of emergy algebra, which we called “preconditioning” prior to calculating transformities, was developed to avoid double counting errors in determining the emergy basis for energy flows in the network. The results obtained from previous approaches, the Track Summing Method, the Minimum Eigenvalue Model and the Linear Optimization Model, were reviewed in detail by evaluating a hypothetical system, which included several types of interactions and two inputs. A Matrix Model was introduced to simplify the calculation of transformities and it was also tested using the same hypothetical system. In addition, the Matrix Model was applied to two real case studies, which previously had been analyzed using the existing method and models. Comparison of the three case studies showed that if the preconditioning step to structure the equations was missing, double counting would lead to large errors in the transformity estimates, up to 275 percent for complex flows with feedback and co-product interactions. After preconditioning, the same results were obtained from all methods and models. The Matrix Model reduces the complexity of the Track Summing Method for the analysis of complex systems, and offers a more direct and understandable link between the network diagram and the matrix algebra, compared with the Minimum Eigenvalue Model or the Linear Optimization Model.     

Tendencies in the Development of Tracks in Open Areas

area cells (the areas between the tracks) increased geometrically in the unprotected area, while the increase in the protected area was linear; and (3) most area cells (50%–70%) in the protected area in each of the years analyzed (except 1944) were smaller than 10 ha in size. However, an area cell greater than 100 ha has always been observed. In contrast, in the unprotected site the number of area cells increased with time while their area size decreased. Twenty-seven percent of the unprotected area is composed at present of area cells smaller in size than 1 ha. The development of a track system in the protected site changed moderately with a few peaks during the past 50 years. This trend is a result of land management policies that actively promote sustainable ecotourism. However, in the unprotected open area, the track system has changed continuously and drastically due to a lack of land conservation management.     

New insights into the formation of ammonium nitrate from a physical and chemical level perspective

● Factor analysis of ammonium nitrate formation based on thermodynamic theory. ● Aerosol liquid water content has important role on the ammonium nitrate formation. ● Contribution of coal combustion and vehicle exhaust is significant in haze periods. High levels of fine particulate matter (PM_2.5) is linked to poor air quality and premature deaths, so haze pollution deserves the attention of the world. As abundant inorganic components in PM_2.5, ammonium nitrate (NH₄NO₃) formation includes two processes, the diffusion process (molecule of ammonia and nitric acid move from gas phase to liquid phase) and the ionization process (subsequent dissociation to form ions). In this study, we discuss the impact of meteorological factors, emission sources, and gaseous precursors on NH₄NO₃ formation based on thermodynamic theory, and identify the dominant factors during clean periods and haze periods. Results show that aerosol liquid water content has a more significant effect on ammonium nitrate formation regardless of the severity of pollution. The dust source is dominant emission source in clean periods; while a combination of coal combustion and vehicle exhaust sources is more important in haze periods. And the control of ammonia emission is more effective in reducing the formation of ammonium nitrate. The findings of this work inform the design of effective strategies to control particulate matter pollution.     

东南沿海典型岛屿大气降水化学特征及来源分析

于2020年6月—2021年5月,应用相关分析、富集因子(EF)以及正定矩阵因子分解模型(PMF)和气团来源分析对东南沿海岛屿平潭大气降水化学特征及来源进行了综合评价与分析。结果表明,平潭大气降水pH值为3.96~7.49,平均值为4.78;电导率(EC)为4.9~342.0μs/cm,平均值为24.4μs/cm,高于我国降水背景点值;大气降水中各离子组分当量浓度排序为:Cl->Na+>SO_(4)^(2)>NO-3>Ca 2+>NH+4>Mg 2+>K+>F->NO-2,Cl-和Na+是降水中占比最大的阴、阳离子,其当量浓度占总离子当量浓度的51.4%;NO-3对平潭大气降水酸化的贡献较高(55.9%),且有77%的大气降水酸度被碱性物质中和,其中铵根离子(NH+4)和钙离子(Ca 2+)有着较强的中和能力。富集因子分析结果表明,除海洋源外,地壳源和人为源也是平潭大气降水离子的主要来源;PMF模型结果显示,海洋源、人为源、地壳源和燃烧源分别贡献了平潭大气降水离子的61.1%,23.8%,10.0%和5.1%;气团来源分析结果表明,区域传输对平潭大气降水离子分布及空气质量影响显著,京津冀和长三角地区排放的人为污染物可以经海上传输通道由北至南影响我国下风向地区,给沿海地区大气细颗粒物(PM_(2.5))与臭氧(O_(3))协同控制带来挑战。     

电子废弃物拆解园区重金属排放特征和周边土壤重金属污染来源解析及风险评价

对某典型电子废弃物拆解园区排放的废气以及周边土壤中的重金属进行监测分析。结果显示,拆解过程中排放的重金属总量由高到低依次为：锡（Sn）、铬（Cr）、镍（Ni）、铅（Pb）、铜（Cu）、锑（Sb）、锰（Mn）、砷（As）、镉（Cd）、汞（Hg）;从处理工艺来看,几个主要拆解工序均有重金属排放,排放量由高到低依次为：加热烤板、火法冶炼、塑料造粒和湿法冶炼工序。园区周边土壤中的Hg、Cd、Cu、Pb平均质量分数超过珠三角土壤污染风险筛选值。相关性和主成分分析结果表明,Pb、Cu、Cd、Ni、Zn等重金属来源于电子废弃物拆解过程,包括废水排放、大气干湿沉降和固体废弃物随意堆放等途径,Cr可能主要来源于成土母质,Hg有电子废弃物之外的其他来源。土壤生态风险评价结果表明,该区域属于很强生态风险,其中Cd和Hg对生态危害的贡献率达到91.6%。土壤环境容量评价结果表明,该区域仅有As和Cr的土壤现存容量较大,Zn和Ni的土壤现存环境容量较小,已达到警戒值,其余重金属均处于超载状态。该地区土壤重金属污染状况须引起足够重视,应尽快制定管控治理措施。     

Identifying hydrologically sensitive areas: bridging the gap between science and application

Researchers have noted that current water quality protection strategies, like nutrient management plans, lack a sound hydrological underpinning for pollutant transport processes. This is especially true for areas like the northeastern U.S. where copious research has shown that variable source area hydrology largely governs runoff generation. The goal of this study was to develop a scientifically justified method to identify the locations that generate overland flow. Furthermore, this methodology must be computationally simple enough that it can be utilized or incorporated into nutrient management plans and other established water quality tools. We specifically tested the reliability of the 'distance from a stream,'D(s), and the 'topographic index,'lambda, to predict areas with a high propensity for generating overland flow, i.e. hydrologically sensitive areas (HSA). HSAs were defined by their probability of generating runoff, P(sat), based on 30 year simulations using a physically based hydrological model. Using GIS, each location's P(sat) was correlated with D(s) and lambda. We used three Delaware Co., NY watersheds in the New York City watershed system with areas varying in size from 1.6 to 37 km2 and with forested and agricultural land uses. The topographic index gave stronger, more regionally consistent correlations with P(sat) than did D(s). Equations correlating lambda and P(sat) for each month are presented and can be used to estimate hydrological sensitivity in the region surrounding our study watersheds, i.e. in Delaware Co. This work is currently being incorporated into an Internet Mapping System to facilitate user-friendly, on-line identification of HSAs.     

基于因子-聚类分析的地下水中阳离子来源研究

于2020—2021年对某市20个监测井80份地下水样本进行了调查。采用因子分析和聚类分析法以地下水中阳离子浓度为研究对象进行溯源分析。结果表明,地下水中阳离子浓度会受到不同程度、不同类别的人类活动影响,其阳离子的来源呈现多样化的特点,其中铅、铜、铝、锰为农业面源来源,铵、钠、总硬度是工业来源,另外,砷、铁及锌等为自然来源,而在自然来源中出现的砷、铁阳离子的富集现象,很明显是受到了城镇化及工业化的影响。锌与氢离子可能是地下水中pH值受到人类活动的影响,或者是地表水的侧向补给带来的影响。