潜流湿地对典型选控性有机污染物去除的预测

建立潜流湿地有机污染物迁移转化模型,采用多孔介质模型描述潜流湿地的水力特性,并引入Monod方程相耦合,实现对湿地系统内部流场及水质浓度的同时模拟。通过实验,校核模型参数,并验证模型。结果表明,该模型能较好模拟潜流湿地中有机污染物的去除效果;计算条件下,在不同基质填料的潜流湿地中都会出现滞水区和快速通道,影响水力效率与污染物去除效果;预测了不同填料系统中7种典型选控性有机污染物的去除效果,其处理效率:苯胺苯酚二甲苯甲苯苯硝基苯氯苯,可通过优选填料提高吸附量和延长停留时间来提高选控性有机物的处理效果。     

污水处理厂剩余污泥对凤仙花和万寿菊生长的影响

采用盆栽方式,通过对花卉植物生长状况和各项生理指标的考察,研究了不同污泥施用比对凤仙花(Impatiens balsamina)和万寿菊(Tagetes erecta L.)生长的影响。结果表明,污泥施用比不高于5%(质量分数)时对两种花卉植物发芽有促进作用。在前期,对照组凤仙花和万寿菊生长较好,其株高、叶绿素和可溶性糖含量高于污泥施用组,丙二醛(MDA)含量低于污泥施用组。而在后期,污泥的施用对两种花卉生长促进作用明显,污泥施用组的两种花卉植物株高和各项生理指标优于对照组,尤其是开花状况显著好于对照组。凤仙花和万寿菊较优的污泥施用比分别为3%~5%和1%~5%。     

生态约束下的湖滨土地利用研究——以四川省仁寿县黑龙滩镇为例

生态文明体制改革下围绕土地“三位一体”管理理念，强化土地利用生态管理是当今我国土地资源管理的综合思路，研究湖滨生态敏感区土地利用具有重要的生态价值和现实意义。以四川省仁寿县黑龙滩镇为实证研究区，通过构建数理量化模型和经济计量模型分析了2005~2015年间研究区湖滨土地利用状况，并差别化探讨了湖滨土地利用优化模式，提出了相关政策建议。研究表明:(1)黑龙滩镇湖滨土地利用多样化系数和均衡度在时序上变幅较小，在空间上低于全县平均水平，但总体上处于均衡状态。(2)黑龙滩镇湖滨土地利用生态安全总体为波动上升趋势，以2012年为拐点，安全状态由较安全向安全阶段转变，总体呈较安全状态。(3)黑龙滩镇湖滨土地利用生态安全主要受种植结构优化合理度、人口密度、地均牲畜量、水环境污染负荷、水土流失占比、单位耕地农药负荷的影响，其中人口密度与预期方向相反，种植结构优化合理度具有显著的正效应，其余的综合净效应为负。(4)针对黑龙滩镇湖滨土地利用变化状况以及生态安全保护需求与区域发展趋势，差别化地提出退耕还湖与持续利用生态模式、复合农业与生态种植发展模式、休闲农业与教育体验发展模式三类湖滨土地利用模式。综上提出了加强湖滨水土资源保护、优化湖滨农业结构布局和规范湖滨管理的政策建议。     

Study on the relationship between the incidence of influenza and climate indicators and the prediction of influenza incidence

In recent 2 years, the incidence of influenza showed a slight upward trend in Guangxi; therefore, some joint actions should be done to help preventing and controlling this disease. The factors analysis of affecting influenza and early prediction of influenza incidence may help policy-making so as to take effective measures to prevent and control influenza. In this study, we used the cross correlation function (CCF) to analyze the effect of climate indicators on influenza incidence, ARIMA and ARIMAX (autoregressive integrated moving average model with exogenous input variables) model methods to do predictive analysis of influenza incidence. The results of CCF analysis showed that climate indicators (PM2.5, PM10, SO₂, CO, NO2, O₃, average temperature, maximum temperature, minimum temperature, average relative humidity, and sunshine duration) had significant effects on the incidence of influenza. People need to take good precautions in the days of severe air pollution and keep warm in cold weather to prevent influenza. We found that the ARIMAX (1,0,1)(0,0,1)₁₂ with NO₂ model has good predictive performance, which can be used to predict the influenza incidence in Guangxi, and the predicted incidence may be useful in developing early warning systems and providing important evidence for influenza control policy-making and public health intervention.

     

铁路沿线可燃重气储罐最小隔离区域划分探讨*

为保护铁路线，以某化工厂距离高铁路线最近的丙烯球罐为例，提出丙烯球罐泄漏最小隔离区域划分方法以及2种保护高铁线路方案，利用重气扩散模型和定量风险评价（QRA）软件分别进行丙烯扩散模拟、爆炸模拟，并进行危险与可操作性分析（HAZOP）和保护层分析（LOPA）。结果表明:球罐发生泄漏及火灾爆炸等事故，会给附近铁路线带来严重破坏；丙烯泄漏或球罐因周围其他设备设施或可燃物质着火而温度升高时，保护措施不足；隧道的安全可靠性要高于仅设1道防爆墙，隧道长度需覆盖最小隔离区域的可及范围，在扩散区域内也需设立普通挡墙，在极度危险情况下，需要实施高铁停开等保护措施。     

我国中部地区城市群多中心结构的增长效应

多中心城市群是要素在经过多重集聚扩散后形成的空间均衡，已成为城市群发展的政策目标。我国城镇化水平发展时间较短，地区差异较大，因此需结合具体城市群的发展阶段研究其空间优化问题。基于2005~2014年中部六大城市群的市域数据，从人口规模分布和产业空间布局两个维度出发，定量分析其城市群空间结构对地区经济增长的影响。研究结果表明：（1）在控制了其他影响因素之后，城市群人口空间结构会对经济增长的影响呈现倒“U”型曲线特征，即由单中心向多中心结构转变；（2）产业布局的空间集中对城市群经济增长具有正向促进作用。这一结论对中部地区如何合理有效引导要素等资源流动来拓展发展新空间、优化发展新格局和提升经济发展效率和城镇化质量具有一定的参考价值和政策意义。     

电驱动功率模块微纳米尺度加工新技术及应用

电驱动功率模块能够采用的一种微纳米尺度加工新技术是聚焦离子束,该技术对半导体器件能够进行微区溅射与增强刻蚀,能够在分辨率优于0.1 nm条件下对样品特定微区进行无需掩模的精确刻蚀;能够对样品表面进行薄膜沉积,便于裸芯片截面加工、导电性差或不导电样品的SEM形貌观察;能够进行裸芯片截面加工及观察,有效结合裸芯片截面研磨工艺实现三代半导体材料工艺器件截面加工技术的全覆盖;能够进行半导体材料改性及器件研制,具有无需掩模版和感光胶层并简化工艺流程等优点。     

Vehicle emission implications of drivers’ smart advisory system for traffic operations in work zones

Wireless communication systems have been broadly applied in various complicated traffic operations to improve mobility and safety on roads, which may raise a concern about the implication of the new technology on vehicle emissions. This paper explores how the wireless communication systems improve drivers’ driving behaviors and its contributions to the emission reduction, in terms of Operating Mode (OpMode) IDs distribution used in emission estimation. A simulated work zone with completed traffic operation was selected as a test bed. Sixty subjects were recruited for the tests, whose demographic distribution was based on the Census data in Houston, Texas. A scene of a pedestrian’s crossing in the work zone was designed for the driving test. Meanwhile, a wireless communication system called Drivers Smart Advisory System (DSAS) was proposed and introduced in the driving simulation, which provided drivers with warning messages in the work zone. Two scenarios were designed for a leading vehicle as well as for a following vehicle driving through the work zone, which included a base test without any wireless communication systems, and a driving test with the trigger of the DSAS. Subjects’ driving behaviors in the simulation were recorded to evaluate safety and estimate the vehicle emission using the Environmental Protection Agency (EPA) released emission model MOVES. The correlation between drivers’ driving behavior and the distribution of the OpMode ID during each scenario was investigated. Results show that the DSAS was able to induce drivers to accelerate smoothly, keep longer headway distance and stop earlier for a hazardous situation in the work zone, which driving behaviors result in statistically significant reduction in vehicle emissions for almost all studied air pollutants (p-values range from 4.10E-51 to 2.18E-03). The emission reduction was achieved by the switching the distribution of the OpMode IDs from higher emission zones to lower emission zones.

Implications: Transportation section is a significant source of greenhouse gas emissions. Many studies demonstrate that the wireless communication system dedicated for safety and mobility issues may contribute to the induction in vehicle emissions through changing driving behaviors. An insight into the correlation between the driving behaviors and the distribution of Operating Mode (OpMode) IDs is essential to enhance the emission reduction. The result of this study shows that with a Drivers Smart Advisory System (DSAS) drivers accelerated smoothly and stopped earlier for a hazardous situation, which induce the switch of the OpMode IDs from high emission zones to lower emission zones.     

Current status and historical variations of phthalate ester (PAE) contamination in the sediments from a large Chinese lake (Lake Chaohu)

The residual levels of phthalate esters (PAEs) in the surface and two core sediments from Lake Chaohu were measured with a gas chromatograph–mass spectrometer (GC–MS). The temporal–spatial distributions, compositions of PAEs, and their effecting factors were investigated. The results indicated that di-n-butyl phthalate (DnBP), diisobutyl phthalate (DIBP), and di(2-ethylhexyl) phthalate (DEHP) were three dominant PAE components in both the surface and core sediments. The residual level of total detected PAEs (∑PAEs) in the surface sediments (2.146?±?2.255 μg/g dw) was lower than that in the western core sediments (10.615?±?9.733 μg/g) and in the eastern core sediments (5.109?±?4.741 μg/g). The average content of ∑PAEs in the surface sediments from the inflow rivers (4.128?±?1.738 μg/g dw) was an order of magnitude higher than those from the lake (0.323?±?0.093 μg/g dw), and there were similar PAE compositions between the lake and inflow rivers. This finding means that there were important effects of PAE input from the inflow rivers on the compositions and distributions of PAEs in the surface sediments. An increasing trend was found for the residual levels of ΣPAEs, DnBP, and DIBP from the bottom to the surface in both the western and eastern core sediments. Increasing PAE usage with the population growth, urbanization, and industrial and agricultural development in Lake Chaohu watershed would result in the increasing production of PAEs and their resulting presence in the sediments. The significant positive relationships were also found between the PAE contents and the percentage of sand particles, as well as TOC contents in the sediment cores.