南汇边滩的沉积特征和沉积物输运趋势

在对南汇边滩沉积物粒度特征进行分析的基础上,利用Gao Collins泥沙概率输运模型探讨边滩的沉积物输运趋势,结果表明：①沉积物中值粒径、分选系数和偏度的分布具有一致性,三者相关性较强;②边滩的沉积物粒度特征表现为正偏,分选性较差,分选系数值集中在2左右,沉积物相对较粗（中值粒径大于0.01 mm）的区域主要集中在没冒沙中部、南汇咀及卢潮港近岸,其它区域沉积物相对较细（中值粒径小于0.01 mm）;③将 Gao Collins的泥沙概率模型和南汇边滩的动力与沉积环境结合表明,沉积物在东滩的净输运趋势是由北向南输运。由于南滩的动力条件相对复杂,因此南滩沉积物的净输运趋势有待进一步分析。     

不同季节气象条件对北京城区高黑碳浓度变化的影响

利用2013年至2015年北京城区黑碳气溶胶(下文统称为"BC")和PM2.5观测资料,结合地面气象观测资料、ECMWF边界层高度再分析资料和FNL/NCEP不同高度风速再分析资料,讨论了BC质量浓度及其在PM_(2.5)质量浓度中所占比例(下文统称"黑碳占比")的季节、月、日变化特征,并通过计算北京城区BC浓度与不同高度风速的相关矢量,分析了气象条件和外来输送对北京城区BC浓度变化的影响.结果发现:研究时段内北京城区BC浓度平均值为(4.77±4.49)μg·m~(-3);黑碳占比为8.23%±5.47%.BC浓度和黑碳占比在春、夏季低,秋、冬季高,其日变化特征在4个季节均为"白天低夜间高"的单峰型特征.随着PM_(2.5)浓度的升高,BC浓度增大,黑碳占比减小.当北京地区风向为东北、东北偏东、东南和西南偏西(主风向)时,BC浓度与风速和边界层高度均呈反向变化,即随风速和边界层高度的增大而减小.另外不同季节BC浓度随风速变化的临界值及其变化速率不同.冬季高BC浓度时段,北京城区BC浓度在低层大气的关键影响区分别位于河北南部与山东交界地区以及河北西北部与山西内蒙交界地区;高空关键影响区主要位于北京以西的河北西部、山西北部和内蒙古地区.     

雾对大气污染物迁移扩散的影响

从雾形成和发展过程中热力和动力特征的变化,分析了大气污染物在雾天气下的迁移扩散和清除过程。表明,在某些情况下,雾对污染物有明显的清除作用,在某些情况下,雾可以造成地面高浓度污染。     

A review of gas-phase chemical mechanisms commonly used in atmospheric chemistry modelling

The atmospheric chemical mechanism is an essential component of airshed models used for investigating the chemical behaviors and impacts of species. Since the first tropospheric chemical mechanism was proposed in the 1960s, various mechanisms including Master Chemical Mechanism (MCM), Carbon Bond Mechanism (CBM), Statewide Air Pollution Research Center (SAPRC) and Regional Atmospheric Chemistry Mechanism (RACM) have been developed for different research purposes. This work summarizes the development and applications of these mechanisms, introduces their compositions and lumping methods, and compares the ways the mechanisms treat radicals with box model simulations. CBM can reproduce urban pollution events with relatively low cost compared to SAPRC and RACM, whereas the chemical behaviors of radicals and the photochemical production of ozone are described in detail in RACM. The photolysis rates of some oxygenated compounds are low in SAPRC07, which may result in underestimation of radical levels. As an explicit chemical mechanism, MCM describes the chemical processes of primary pollutants and their oxidation products in detail. MCM can be used to investigate certain chemical processes; however, due to its large size, it is rarely used in regional model simulations. A box model case study showed that the chemical behavior of OH and HO₂ radicals and the production of ozone were well described by all mechanisms. CBM and SAPRC underestimated the radical levels for different chemical treatments, leading to low ozone production values in both cases. MCM and RACM are widely used in box model studies, while CBM and SAPRC are often selected in regional simulations.     

Simulating mesoscale transport and diffusion of radioactive noble gases using the Lagrangian particle dispersion model

In order to simulate the impact of mesoscale wind fields and to assess potential capability of atmospheric Lagrangian particle dispersion model (LPDM) as an emergency response model for the decision supports, two different simulations of LPDM with the mesoscale prognostic model MM5 (Mesoscale Model ver. 5) were driven. The first simulation of radioactive noble gas ((85)Kr exponent) emitted during JCO accident occurred from 30 September to 3 October 1999 at Tokai, Japan showed that the first arriving short pulse was found in Tsukuba located at 60km away from the accidental area. However, the released radioactive noble gas was transported back to the origin site about 2 days later due to the mesoscale meteorological wind circulation, enhancing the levels of (85)Kr with the secondary peak in Tsukuba. The second simulation of atmospheric dilution factors (the ratio of concentration to the emission rate, chi/Q), during the underground nuclear test (UNT) performed by North Korea showed that high chi/Q moved to the eastward and extended toward southward in accordance with the mesoscale atmospheric circulations generated by mesoscale prognostic model MM5. In comparison with the measurements, the simulated horizontal distribution patterns of (85)Kr during the JCO are well accord with that of observation in Tsukuba such as the existence of secondary peak which is associated with the mesoscale circulations. However, the simulated level of (85)Kr anomaly was found to be significantly lower than the observations, and some interpretations on these discrepancies were described. Applications of LPDM to two mesoscale emergency response dispersion cases suggest the potential capability of LPDM to be used as a decision support model provided accurate emission rate of accident in case of a large accident.     

非平衡式双极性离子风消电技术与应用

为实现风送管道物料静电监测与控制,预防料仓静电燃爆事故,提高聚烯烃装置料仓安全水平,基于非平衡式双极性离子风消电技术,开发了双极性离子风消电器;基于离子风消电器和静电监测器,探讨了石化粉体料仓用离子风消电控制系统组成、电路、气路布局;对非平衡式双极性离子风消电系统进行现场应用测试。结果表明:基于此管道粉体消静电技术,合理调节正、负侧控制电压,可有效控制管道物料荷质比稳定在±0.3 μC/kg以内,保障聚烯烃装置料仓安全、稳定运行。     

土壤中磺胺二甲嘧啶赋存对水稻生长的影响

为探究土壤中残留抗生素对植物生长的影响,选取土壤中检出率较高的磺胺类抗生素磺胺二甲嘧啶作为外源污染物,分析水稻苗期和成熟期生长指标、根系和叶片生理生化指标、水稻各器官中抗生素残留量和富集转运因子的变化特性,并评价水稻籽粒中残留磺胺二甲嘧啶的健康风险.结果表明,磺胺二甲嘧啶对水稻株高和生物量的抑制作用存在于整个生长周期中,且苗期的影响大于生长成熟期,根部受到的影响大于苗部.苗期秧苗根系活力、硝酸还原酶活性和叶片叶绿素含量受到随抗生素含量增加而增大的抑制作用,而抗氧化酶活性的变化趋势表现出不同特征,具体为超氧化物歧化酶活性增强、过氧化氢酶和过氧化物酶先被激活后被抑制.磺胺二甲嘧啶在水稻各器官中的积累量表现为：根>叶>茎>籽粒,且水稻籽粒的抗生素风险评估结果显示EDI/ADI<0.1,不构成健康风险.生长成熟期土壤中磺胺二甲嘧啶对水稻富集因子和转运系数的影响大于苗期.综合磺胺二甲嘧啶对水稻的不利影响,在水稻种植中施加畜禽粪便作为有机肥和使用养殖水进行农田灌溉时,需要关注磺胺二甲嘧啶的生态效应,保障水稻等作物的安全生产.     

Identification of close relationship between atmospheric oxidation and ozone formation regimes in a photochemically active region

Understanding ozone (O₃) formation regime is a prerequisite in formulating an effective O₃ pollution control strategy. Photochemical indicator is a simple and direct method in identifying O₃ formation regimes. Most used indicators are derived from observations, whereas the role of atmospheric oxidation is not in consideration, which is the core driver of O₃ formation. Thus, it may impact accuracy in signaling O₃ formation regimes. In this study, an advanced three-dimensional numerical modeling system was used to investigate the relationship between atmospheric oxidation and O₃ formation regimes during a long-lasting O₃ exceedance event in September 2017 over the Pearl River Delta (PRD) of China. We discovered a clear relationship between atmospheric oxidative capacity and O₃ formation regime. Over eastern PRD, O₃ formation was mainly in a NO_x-limited regime when HO₂/OH ratio was higher than 11, while in a VOC-limited regime when the ratio was lower than 9.5. Over central and western PRD, an HO₂/OH ratio higher than 5 and lower than 2 was indicative of NO_x-limited and VOC-limited regime, respectively. Physical contribution, including horizontal transport and vertical transport, may pose uncertainties on the indication of O₃ formation regime by HO₂/OH ratio. In comparison with other commonly used photochemical indicators, HO₂/OH ratio had the best performance in differentiating O₃ formation regimes. This study highlighted the necessities in using an atmospheric oxidative capacity-based indicator to infer O₃ formation regime, and underscored the importance of characterizing behaviors of radicals to gain insight in atmospheric processes leading to O₃ pollution over a photochemically active region.     

EXPOSURE ASSESSMENT OF POPULATIONS USING ENVIRONMENTAL MODELING,DEMOGRAPHIC ANALYSIS,AND GIS1

ABSTRACT: Simulation of ground-water flow and fate of contaminants in the subsurface environment constitutes a major phase of most environmental assessment and site remediation studies. These simulation studies yield information on spatial and temporal distributions of contaminants in the subsurface media. An important use of this information is to conduct exposure assessment studies. Spatial and temporal distributions of both chemical concentrations and exposed populations render this integrated exposure analysis task rather difficult. Geographic Information Systems (GIS), on the other hand, provide a platform in which layered, spatially distributed databases can be manipulated with ease, thereby simplifying exposure analysis tasks significantly. In this paper, we describe procedures that combine the simulation models and demographic databases under a GIS platform to automate the exposure assessment phase of a typical health assessment study. Procedures developed herein significantly simplify the post-processing phase of the analysis, and render the overall task more ‘user friendly.’ A site-specific application is included as a demonstration of the proposed process.     

VARIABILITY IN MEASURED BEDLO AD-TRANSPORT RATES1

ABSTRACT: Variability in bedload-transport rates during constant water discharge is an inherent part of the bedload-transport process. Although this variability has been measured extensively in the laboratory, similar information generally is not available from field measurements. During a four-day period of nearly constant water discharge, four sets of consecutively collected bedload samples, ranging from 43 to 120 samples, were obtained at the same cross channel location using a standard 65-pound Helley-Smith bedload sampler. When the measured transport rates are converted to dimensionless rates and plotted as cumulative frequency distributions, they show good agreement with a theoretical probability distribution function of rates derived for the case of ripples on dunes. The distributions show that during constant water discharge individual measured rates at a fixed point vary from near zero to four times the mean rate, and 60 percent of the sampled rates will be less than the mean. Because of the large variation in transport rates that occurs at every location in the cross section, many observations are required to establish an accurate estimate of the mean rate at any given location.