Ozone patterns for three metropolitan statistical areas in North Carolina, USA

As part of an effort by the state of North Carolina to develop a State Implementation Plan (SIP) for 1-h peak ozone control, a network of ozone stations was established to monitor surface ozone concentrations across the state. Between 19 and 23 ozone stations made continuous surface measurements between 1993 and 1995 surrounding three major metropolitan statistical areas (MSAs): Raleigh/Durham (RDU), Charlotte/Mecklenburg (CLT), and Greensboro/High Point/Winston-Salem (GSO). Statistical averages of the meteorological and ozone data were performed at each Metropolitan Statistical Area (MSA) to study trends and/or relationships on high ozone days (days in which one of the MSA sites measured an hourly ozone concentration90.0 ppbv). County emission maps of precursor gases, wind roses, total area averages of ozone, total downwind averages of ozone deviations, upwind averages of ozone, and a modified delta ozone analysis were all obtained and analyzed. The results of this study show a reduction in the delta ozone relative to an earlier study at RDU, but no average significant change at CLT (no comparison can be made for GSO). The statistical data analyses in this study are used to quantify the importance of local contributions and regional transport, to ozone air pollution in the MSAs.     

制革废水处理过程中磺胺类抗生素和抗性细菌的分布特征

针对两家制革厂废水处理过程中3种磺胺类抗生素和磺胺类抗性细菌的丰度和分布特性以及两个不同工艺污水处理厂对抗生素的去除规律做了相关研究.结果表明,3种抗生素在两家制革污水处理过程中均有检出,水样中3种抗生素的总质量浓度在59.1~706.7 ng·L~(-1)之间;两家制革厂废水处理剩余污泥中3种抗生素的总含量分别为4 388 ng·kg~(-1)和2 979.4ng·kg~(-1),与市政污水处理厂中的抗生素含量相差不大.不同的污水处理工段对3种抗生素去除效果不同,但去除效率均大于70%.生物处理单元对抗生素的去除率相对较高,而厌氧池是去除抗生素的主要阶段(去除率50%).两个制革厂的进出水和剩余污泥中共筛选出8株抗性细菌,这8个分离菌株可分为5个菌属.进出水中的抗性细菌含量介于9.37×10~3~5.08×10~5CFU·mL~(-1)之间,剩余污泥中的磺胺类抗性细菌含量较高分别为1.17×10`7CFU·g~(-1)和7.2×10~6CFU·g~(-1).两个制革污水处理厂对磺胺甲唑抗性细菌的去除率分别达到了1.34 log和2.15 log.     

基于神经网络的城市夜间环境监控与预测

因夜间天空亮度分布具有非线性变化特点,故引入神经网络算法,建立基于时间序列的夜天空亮度预测模型,夜天空亮度预测模型可为城市光污染防治提供评价依据.文章对神经网络的原理进行了论述,建立了基于时间序列预测模型.以测试数据为训练样本集,基于MATLAB(矩阵实验室,Matrix Laboratory的简称),采用改进的BP算法(误差反向传播算法)对网络进行学习训练,并对存在的误差进行了分析.基于时间序列BP神经网络的夜天空预测模型,当隐含层神经元数目为5,训练函数为L-M优化算法(trainlm)时,最大绝对误差可达到0.003 6 cd/m2,最大相对误差达到2.361 4%.结果表明,模型的运行结果与试验数据比较吻合,输出与目标矢量之间相关性也较好.     

The method for leakage detection of urban natural gas pipeline based on the improved ITA and ALO

To solve the problems of the difficulty in early leakage monitoring and larger positioning error for urban hazardous chemicals pipelines, the optimized method based on the improved Inverse Transient Analysis (ITA) and Ant Lion Optimizer (ALO) was proposed. Firstly, based on the obtained experiment's results of leakage of natural gas in the non-metallic pipeline, the segment classification method was incorporated into the pressure gradient calculation. The modified method can adapt to the multi-node characteristics of urban pipe networks and help to obtain the preliminary positioning calculation results after optimization. Then the calculation results were embedded in the ITA calculation model. The input parameters of the gas pipeline such as boundary conditions, leakage rate and friction coefficient were used to establish the characteristic linear equations. Then the objective function of the least-squares criterion was defined, and the improved ITA model suitable for leakage detection of urban natural gas pipeline networks was constructed. Finally, the ALO was used to optimize the calculation process of the improved ITA model, and iteratively optimize the optimal friction coefficient and its corresponding minimum objective function (OF) value. As a result, a more precise location of the leakage source was calculated. The validation of the modified method is conducted by comparing the calculated values with the experiment's results. The results show that the method can accurately predict the location where the pipeline leakage occurs. The minimum error is 3.17%. Compared with the traditional ITA, this method not only accelerates the convergence speed of the objective function, but also improves the accuracy of location calculation.     

中国城市空气质量分级管理策略探讨

本文在充分剖析我国现阶段城市环境空气质量及相关管理工作存在的主要问题的基础上,探讨了以改善城市空气质量兼顾城市群效应控制为重点的城市空气质量分级管理策略。研究提出,为适应新的污染特征和形势,国家应针对不同地区、不同污染来源特征、不同污染程度的各类城市实行分类指导和分级管理的思路。     

我国城市垃圾处理现状与分析

城市垃圾已经成为我国面临的严重问题。本文对我国垃圾处理的现状进行了介绍,通过对其进行分析,提出了几点建议。     

Composition of extractable organic matter in aerosols from urban areas of Rio de Janeiro city, Brazil

The hydrocarbon compositions of atmospheric particulate matter from urban areas of Rio de Janeiro city have been studied to assess the different pollution levels. Samples were acquired using a standard high-volume air sampler (Hi-Vol), extracts were prepared and fractionated into aliphatic and aromatic compounds. High-resolution gas chromatography and GC coupled to mass spectrometry (GC–MS) were used for the analysis of the organic matter. The results show that all samples contain n-alkanes, but the distributions are different for each sample, reflecting both the biogenic (vascular plant wax input) and fossil fuel contamination sources (vehicular exhaust). The fossil fuel biomarkers, hopanes and steranes, were also observed in all samples except in the Tijuca Forest, which is a mountain forest in the midst of the sea-level city. A decrease in the level of pollution was observed in the sequence for Rebouças Tunnel>Cinelândia (downtown)>Quinta da Boa Vista Park>Tijuca Forest, as expected from the traffic density. Unfortunately, all sites are polluted mainly from vehicular emissions, but at different degrees, with the lowest levels in Tijuca Forest.     

城市规划的环境影响评价研究初探

环境影响评价法的颁布是中国环境影响评价的一个新阶段。中国至今尚无明确的、系统的规划环境影响评价的技术导则和规范,其评价理论仍在探索之中。分析了国内外规划环境影响评价的历史和现状。从区域环境影响评价的实践经验总结出了城市规划环境影响评价应强调城市发展的可持续性。探讨了该层次评价的介入时间、评价原则、环境影响因素识别及评价内容,提出从生态合理性、绿色化程度等方面考虑城市规划的生态环境影响。     

城市地下空间使用权应用的研究

本文介绍了我国城市地下空间使用的现状和城市地下空间使用权在应用中存在的问题,并对国内外相关的经验加以研究,最后对如何合理的对我国城市地下空间使用权加以应用谈了自己的看法。