沈阳市农村生活污水处理设施有机废弃物归趋

采用实地观察法、文献调查法对沈阳市农村生活污水处理设施基本状况进行研究分析。结果显示:沈阳市已建成农村生活污水处理设施297处,有机废弃物产生量(干重)约为:剩余污泥637 t/a、湿地植物废弃物169 t/a。     

Seasonal variation and size distribution of biogenic secondary organic aerosols at urban and continental background sites of China

Size-resolved biogenic secondary organic aerosols(BSOA) derived from isoprene and monoterpene photooxidation in Qinghai Lake, Tibetan Plateau(a continental background site) and five cities of China were measured using gas chromatography/mass spectrometry(GC/MS). Concentrations of the determined BSOA are higher in the cities than in the background and are also higher in summer than in winter. Moreover, strong positive correlations(R2= 0.44–0.90) between BSOA and sulfate were found at the six sites,suggesting that anthropogenic pollution(i.e., sulfate) could enhance SOA formation,because sulfate provides a surface favorable for acid-catalyzed formation of BSOA. Size distribution measurements showed that most of the determined SOA tracers are enriched in the fine mode( 3.3 μm) except for cis-pinic and cis-pinonic acids, both presented a comparable mass in the fine and coarse( 3.3 μm) modes, respectively. Mass ratio of oxidation products derived from isoprene to those from monoterpene in the five urban regions during summer are much less than those in Qinghai Lake region. In addition, in the five urban regions relative abundances of monoterpene oxidation products to SOA are much higher than those of isoprene. Such phenomena suggest that BSOA derived from monoterpenes are more abundant than those from isoprene in Chinese urban areas.     

基于VA One船舶舱室动力设备空气噪声控制分析

目的研究舱室间壁板不同约束条件及不同敷设方式对隔声量的影响。方法用VA One建立两个舱室的统计能量分析(Statistical Energy Analysis,SEA)模型,对约束阻尼结构和自由阻尼结构的隔声性能进行分析。针对约束阻尼结构,讨论其两侧金属层厚度差对整个壁板的隔声性能的影响;对自由阻尼结构,分析金属层与阻尼层之间的相对位置对其隔声性能影响。结果约束阻尼结构隔声量A计权声压级比自由阻尼结构高。结论阻尼层厚度和壁板总厚度一定时,自由阻尼结构金属层与阻尼层之间的相对位置对实际的隔声性能并没有影响;约束阻尼结构,两侧金属层等厚敷设时,其隔声效果最优,且两侧厚度差越大隔声量越小。     

Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization

Air pollution has emerged as an imminent issue in modernsociety. Prediction of pollutant levels is an importantresearch topic in atmospheric environment today. For fulfillingsuch prediction, the use of neural network (NN), and inparticular the multi-layer perceptrons, has presented to be acost-effective technique superior to traditional statisticalmethods. But their training, usually with back-propagation (BP)algorithm or other gradient algorithms, is often with certaindrawbacks, such as: 1) very slow convergence, and 2) easilygetting stuck in a local minimum. In this paper, a newlydeveloped method, particle swarm optimization (PSO) model, isadopted to train perceptrons, to predict pollutant levels, andas a result, a PSO-based neural network approach is presented. The approach is demonstrated to be feasible and effective bypredicting some real air-quality problems.     

监测分析中结果的表达─兼谈环境监测标准化

对环境监测中的数据、统计、有效数字、修约，以及计量单位、结果表达、原始数据的记录等既平常又十分重要易被忽略的重要问题作了概述，这些问题的解决才能保证监测结果的准确性和可靠性．     

Working backwards to move forwards: Graph-based connectivity metrics for reserve network selection

In this paper we apply graph theory in a reserve selection exercise to explore the tradeoffs between maintaining connectivity and minimizing the total area of a protected area network. Rather than focus on a single organism, we used a multi-species approach and looked at the tradeoff curves for organisms with varying dispersal abilities. We first generated the tradeoff curves using a graph-based metric to determine the importance of individual patches for maintaining connectivity. We then performed an analogous set of analyses using patch size as a surrogate measure of importance.     

A modular approach to Integrated Assessment modeling

In this paper, we present a new approach to model coupling that probably forms the methodological basis of a new generation of Integrated Assessment models. This approach respects the knowledge and expertise that is embodied in existing models and encourages their gradual evolution. Modularity is the guiding principle. Our approach is distinguished by the way modules are coupled which is based on an interplay of a job control module, a numerical coupling module, and a couple of stand-alone functional modules. The numerical coupling module - the core component - serves to treat the feedbacks between the functional modules. A first implemented example that couples an economic and a climate module by means of a two-phase meta-optimization is presented here. The algorithm and mathematical structure behind are discussed as well as important features such as convergence behavior and reliability.     

中国海洋大气监测方案的设想

概述了国内外海洋大气环境监测的基本情况，提出了我国开展海洋大气环境监测的必要性，在我国开展海洋大气环境监测必须解决的几个新课题，并根据国家海洋局《海洋大气监测方案》（讨论稿）提出了我国开展海洋大气监测的设想。     

Optimizing the removal of small fish passage barriers

Removing small artificial barriers that hinder upstream migrations of fish is a major problem in riparian habitat restoration. Because of budgetary limitations, it is necessary to prioritize barrier removal and repair decisions. These have usually been based on scoring and ranking procedures, which, although simple to use, can be very inefficient in terms of increasing the amount of accessible instream habitat. We develop a novel decision-making approach, based on integer programming techniques, which optimizes repair and removal decisions. Results show based on real datasets of barrier culverts located in Washington State that scoring and ranking is over 25% below the optimum on average and a full 100% below in the worst case, producing no net habitat gain whatsoever. This is compared to a dynamic programming method that was able to find optimal solutions in less than a second, even for problems with up to several hundred variables, and a heuristic method, which found solutions with less than a 1% average optimality gap in even less time.     

Determination of arsenic in grain and soil by hydride nondispersive atomic fluorescence method

Quantity of trace arsenic in grain and soil was determined by hydride nondispersive atomic fluorescence method.Optimum conditions of measurement were selected in the experiment including the pH of the medium, reductive agent, the concentration and flowing velocity of KBH4, rate of carrier gas and atomized temperature. The reference sample of rice C was determined and the linear relationship of the calibration curve was plotted, indicating that the method was highly precise. In the experiment of recovery rate, the method was quite satisfactory.Based on the determination of hundreds of samples, it is proved that atomic fluorescence method is rapid, sensitive and low in interference. It is very efficient on determination of trace arsenic in soils and grains, especially in grains.