环境空气质量评价体系研究

近年来,中国快速的城镇化进程和巨大的工业化发展衍生了严重的环境问题,大气污染问题越来越受到政府和社会各界的广泛关注,以某地环境空气自动监测数据为依据,分别采用中国大陆的环境空气质量标准与美国、香港的环境空气质量标准从污染物控制项目及限值、标准分区分级污染物浓度达标的统计要求等方面进行了综合对比的计算和分析,提出了完善评价体系的补充方案,实现补充和完善中国的环境空气质量评价体系的目的,评价结果更切合公众的自身感受,为大气污染防治提供更有力的技术支撑。     

基于UNMIX模型对大气降雨中水溶性离子来源解析

对洛杉矾2005年1月至2015年1月的降水数据进行了分析,并通过UNMIX模型对降水中的无机离子成分进行了来源解析.结果表明,洛杉矶降水的pH均值为4.84,表现为轻度污染的弱酸性水平;降水的污染来源主要有3个,分别是二次污染源(50％)、海洋传输源(43％)、燃煤源及生物质燃烧源(7％);降水中离子解析结果与洛杉矶地区细颗粒物污染来源解析结果有较好的一致性,表明在细颗粒物化学成分缺失的情况下,降水离子可在一定程度上反应污染来源解析.     

烟台市环境空气自动监测中PM10与PM2.5数据异常情况分析研究

根据2014年烟台市范围内全部环境空气自动监测点位的PM 10和PM2.5数据,分析了不同监测仪器组合下PM10和PM2.5的倒挂情况,选取了倒挂率较高的4种监测仪器组合,将监测数据分为不同季节和时段比较分析,结果表明:大气湿度较高的季节倒挂率高于其他季节,夜间倒挂率高于昼间,雾霾等重污染天气时高于其他时段.数据采集频率、监测方法、监测仪器、采样管加热方式不同以及测量误差等都是产生倒挂现象的因素.     

改性聚乙烯醇吸附镍离子的动力学与热力学研究

研究了自制改性聚乙烯醇对Ni~(2+)的吸附行为,在不同的吸附条件下,探讨相关因素的影响,并对实验数据进行动力学与热力学的拟合。结果表明,室温下,在溶液p H=6.0,NaNO_3的浓度为0.1 mol/L,吸附时间为60 min,液固比为250 m L/g,改性聚乙烯醇对浓度为0.1 mol/L Ni2+的吸附效果好,去除率达到98.05%;当干扰因子设定为0.1 mol/L的Ca(NO_3)_2,对Ni2+的去除率降到59.29%。改性聚乙烯醇对Ni2+的吸附动力学符合准二级动力学方程;Langmuir等温模型的拟合度较高,推测改性聚乙烯醇表面是均一的等质体,计算的最大吸附量为1.35 mmol/g,与实验结果一致;D-R等温模型的拟合度次之,在各温度下,E16 k J/mol,说明改性聚乙烯醇对Ni2+的吸附是以化学吸附为主。通过Van’t Hoff方程的拟合,计算得到的吉布斯自由能以及熵变和焓变表明该吸附过程为吸热化学反应。     

Application of polyacrylamide to reduce phosphorus losses from a Chinese purple soil: A laboratory and field investigation

Use of anionic polyacrylamide (PAM) to control phosphorus (P) losses from a Chinese purple soil was studied in both a laboratory soil column experiment and a field plot experiment on a steep slope (27%). Treatments in the column study were a control, and PAM mixed uniformly into the soil at rates of 0.02, 0.05, 0.08, 0.10, and 0.20%. We found that PAM had an important inhibitory effect on vertical P transport in the soil columns, with the 0.20% PAM treatment having the greatest significant reduction in leachate soluble P concentrations and losses resulting from nine leaching periods. Field experiments were conducted on 5 m wide by 21 m long natural rainfall plots, that allowed collection of both surface runoff and subsurface drainage water. Wheat was planted and grown on all plots with typical fertilizer applied. Treatments included a control, dry PAM at 3.9 kg ha^?1, dry PAM at 3.9 kg ha^?1 applied together with lime (CaCO₃ at 4.9 t ha^?1), and dry PAM at 3.9 kg ha^?1 applied together with gypsum (CaSO₄·2H₂O at 4 t ha^?1). Results from the field plot experiment in which 5 rainfall events resulted in measurable runoff and leachate showed that all PAM treatments significantly reduced runoff volume and total P losses in surface runoff compared to the control. The PAM treatments also all significantly reduced water volume leached to the tile drain. However, total P losses in the leachate water were not significantly different due to the treatments, perhaps due to the low PAM soil surface application rate and/or high experimental variability. The PAM alone treatment resulted in the greatest wheat growth as indicated by the plant growth indexes of wheat plant height, leaf length, leaf width, grain number per head, and dried grain mass. Growth indexes of the PAM with Calcium treatments were significantly lesser. These results indicate that the selection and use of soil amendments need to be carefully determined based upon the most important management goal at a particular site (runoff/nutrient loss control, enhanced plant growth, or a combination).     

Binding characteristics of Cu2+ to natural humic acid fractions sequentially extracted from the lake sediments

Humic acids (HAs) determine the distribution, toxicity, bioavailability, and ultimate fate of heavy metals in the environment. In this work, ten HA fractions (F1–F10) were used as adsorbent, which were sequentially extracted from natural sediments of Lake Wuliangsuhai, to investigate the binding characteristics of Cu²⁺ to HA. On the basis of the characterization results, differences were found between the ten extracted HA fractions responding to their elemental compositions and acidic functional groups. The characterization results reveal that the responses of ten extracted HA fractions to their elemental compositions and acidic functional groups were different. The O/C and (O + N)/C ratio of F1–F8 approximately ranged from 0.66 to 0.53 and from 0.72 to 0.61, respectively; the measured results showed that the contents of phenolic groups and carboxyl groups decreased from 4.46 to 2.60 mmol/g and 1.60 to 0.58 mmol/g, respectively. The binding characteristics of Cu²⁺ to the ten HA fractions were well modeled by the bi-Langmuir model; the binding behavior of Cu²⁺ to all the ten HA fractions were strongly impacted by pH and ionic strength. The FTIR and SEM-EDX image of HA fractions (pre- and post-adsorption) revealed that carboxyl and phenolic groups were responsible for the Cu²⁺ sorption on the ten sequentially extracted HA fractions process, which is the same with the analysis of the ligand binding and bi-Langmuir models Accordingly, the adsorption capacity of the former HA fractions on Cu²⁺ were higher than the latter ones, which may be attributed to the difference of carboxyl and phenolic group contents between the former and latter extracted HA fractions. Additionally, the functional groups with N and S should not be neglected. This work is hopeful to understand the environmental effect of humic substances, environmental geochemical behavior, and bioavailability of heavy metals in lakes.

     

曳引轮绳槽磨损检测及预防措施

本文首先分析了曳引轮绳槽的结构型式对曳引轮绳槽的磨损影响,分别从设计制造阶段、安装调试阶段、日常使用与维护保养阶段三个阶段分析了导致绳槽磨损的原因。接着给出了检查曳引绳的磨损状况、检查曳引轮绳槽的磨损状况和曳引能力的试验三种检测绳槽磨损的方法。最后针对磨损原因的三个阶段分别提出了具体的预防措施。     

Which forcing factors fit? Using ecosystem models to investigate the relative influence of fishing and changes in primary productivity on the dynamics of marine ecosystems

Fishing mortality and primary production (or proxy for) were used to drive the dynamics of fish assemblages in 9 trophodynamic models of contrasting marine ecosystems. Historical trends in abundance were reconstructed by fitting model predictions to observations from stock assessments and fisheries independent survey data. The model fitting exercise derives values for otherwise unknown parameters that specify the relative strength of trophic interactions and, in some instances, a time series anomaly for changes in primary production. We measured how much better or worse were model predictions when bottom-up forcing by primary production were added to top-down forcing by fishing. Searching for cross system patterns, the relative contribution of fishing and changes in primary production, mediated through trophic interactions, are evaluated for the ecosystems as a whole and for selected similar species in different ecosystems. The analysis provides a simple qualitative way to explain which forcing factors have most influence on modeled dynamics. Both fishing and primary production forcing were required to obtain the best model fits to data. Fishing effects more strongly influenced 6 of 9 of the ecosystems, but primary production was more often found to be the main factor influencing the selected pelagic and demersal fish stock trends. Examination of sensitivity to ecological and model parameters suggests that the results are the product of complex food-web interactions rather than simple deterministic responses of the models.     

Crowding in platform staircases of a subway station in China during rush hours

Crowding during the morning peak hours at a platform staircase in a subway station in China was studied in this paper. Passenger flow was surveyed with normal evacuation time recorded. The evacuation process was simulated with the software buildingEXODUS. Predicted results on the total evacuation time and maximum flow capacity of the selected staircase were compared with the field observations. Two parameters, the width of staircase utilized per person and the maximum upstairs walking speed used in the software were identified to be noticeably different from the field studies. Predictions agreed better with the observations after tuning these two parameters. It is concluded that the evacuation simulation software can be applied for safety design with appropriate tuning on the key parameters through field tests.