Fast increasing of surface ozone concentrations in Pearl River Delta characterized by a regional air quality monitoring network during 2006-2011

Based on the observation by a Regional Air Quality Monitoring Network including 16 monitoring stations, temporal and spatial variations of ozone(O3), NO2and total oxidant(Ox) were analyzed by both linear regression and cluster analysis. A fast increase of regional O3concentrations of 0.86 ppbV/yr was found for the annual averaged values from 2006 to 2011 in Guangdong, China. Such fast O3increase is accompanied by a correspondingly fast NOx reduction as indicated by a fast NO2 reduction rate of 0.61 ppbV/yr. Based on a cluster analysis, the monitoring stations were classified into two major categories – rural stations(non-urban) and suburban/urban stations. The O3concentrations at rural stations were relatively conserved while those at suburban/urban stations showed a fast increase rate of 2.0 ppbV/yr accompanied by a NO2 reduction rate of 1.2 ppbV/yr. Moreover, a rapid increase of the averaged O3 concentrations in springtime(13%/yr referred to 2006 level) was observed, which may result from the increase of solar duration, reduction of precipitation in Guangdong and transport from Eastern Central China. Application of smog production algorithm showed that the photochemical O3production is mainly volatile organic compounds(VOC)-controlled. However, the photochemical O3production is sensitive to both NOx and VOC for O3pollution episode. Accordingly, it is expected that a combined NOx and VOC reduction will be helpful for the reduction of the O3 pollution episodes in Pearl River Delta while stringent VOC emission control is in general required for the regional O3 pollution control.     

复合催化膜生物反应器处理一氧化氮废气研究

采用溶胶-凝胶法以聚砜(PSF)中空纤维膜为载体制备了Fe-Ti O_2/PSF复合催化膜,以此构建新型复合催化膜生物反应器(HCMBR),实现膜催化与硝化反硝化耦合烟气脱硝,进一步提高NO去除能力.采用Fe-Ti O_2/PSF复合催化膜生物反应器(HCMBR)处理一氧化氮废气,实现了180 d长时间高效稳定运行,NO去除效率可达93.2%,去除能力可达167.1g·(m~3·h)~(-1).适宜运行条件为:气体停留时间9 s、自然光光照强度670 lx,p H为6.8~7.2,n C/n N=3.7.Fe-Ti O_2/PSF复合催化膜加入,复合催化膜生物反应器去除NO的效率比膜生物反应器提高了1.4%~13%,在Fe-Ti O_2/PSF复合催化膜附着稳定的生物膜后,复合催化膜生物反应器去除NO的效率比湿式膜催化反应器提高了59.5%~66%.     

秸秆压块与燃煤供热系统生命周期环境排放对比研究

为证明采用秸秆压块燃料替代煤炭进行供热的可持续性,对秸秆压块和燃煤供热系统的生命周期环境排放进行了对比分析.基于我国2012年投入产出表,构建了投入产出生命周期评价(IO-LCA)和过程生命周期评价(PLCA)相结合的混合生命周期评价(Hybrid-LCA)模型,核算了玉米秸秆压块和燃煤供热系统供应1 GJ热的生命周期CO2、SO2、NOx和PM2.5排放.结果显示,秸秆压块供热系统的生命周期CO2排放量为7 kg·GJ-1热,比燃煤供热排放减少121 kg.此外,秸秆压块供热系统比燃煤供热系统可以分别减少SO2排放98%、NOx排放76%和PM2.5排放58%.控制原料水分,通过减少原料收集和能源转化过程中的耗损,减少能源转化过程的电力消耗以及控制原料收集半径等可以有效改进秸秆压块供热系统环境表现.     

基于遗传算法的可持续土地利用动态规划

在建立和求解多目标可持续土地利用动态规划模型过程中,采用遗传算法并结合多目标模糊优选理论处理多目标土地利用结构优化问题。其详细步骤为：在分析区域特征基础上构建时间序列;通过现状分析设置土地利用类型决策变量,确定优化目标和约束条件,构建土地利用结构多目标优化模型;用灰色GM(1,1)预测模型对土地利用结构优化多目标模型参数进行预测;用遗传算法多目标优化方法对土地利用结构优化模型求解得pareto解集;最后运用多目标模糊优选动态规划方法对规划期内各时间段的pareto解集进行模糊动态优选,以最大优属度判定原则确定出最优决策序列。自贡市的实例表明,该方法有助于解决多目标协调问题,并通过提供多方案选择性,从而使规划更具灵活性,同时又便于充分吸纳公众参与,减少规划中的不确定性,增加规划的科学性、现实性和可操作性。     

基于遗传算法的生命线工程网络抗震优化设计

进行网络抗震可靠性分析的目的,不仅在于定量评价生命线工程网络系统的抗震性能,更重要的是利用这种分析工具指导网络抗震性能的优化设计。以无向边权网络系统为分析对象,分别以管网造价和系统抗震可靠度作为优化目标和约束条件,建立网络系统拓扑优化模型,利用递推分解算法作为网络系统抗震可靠性分析工具,并引入系统单元的灵敏度分析,采用遗传算法求解网络系统的拓扑优化问题,从而发展了一类工程网络抗震优化设计方法。实例分析结果表明,网络系统拓扑结构与系统可靠度之间有显著的正相关关系。     

AHP与GA-SVM耦合模型在滑坡预警中的应用*

为了减少滑坡造成的损失,提高滑坡预测的准确性,通过搭建灾害模拟平台获得滑坡的实验数据,在获得多组模拟实验数据后,分析各变量的特性。首先,通过层次分析(Analytic Hierarchy Process,AHP)算法,对滑坡进行危险度划分;然后,通过支持向量机(Support Vector Machine,SVM)建立模型,遗传算法(Genetic Algorithm,GA)再优化SVM参数,提出1种层次分析法与GA-SVM相耦合的模型。研究结果表明:AHP方法划分后的数据,通过GA与SVM结合建立的模型精度较好,实验预测结果与实际结果较为吻合,与单一SVM相比,精度更高,结果更好,更加适用于多变量的复杂非线性滑坡预警。     

提高GPS定位精度的群调度滤波算法*

为解决现行安全生产科技领域中全球定位系统（GPS）/惯性导航系统（INS）融合系统容易产生较大时变误差的关键问题,满足GPS定位信号的精度和信号数据处理时间的要求,提出1种群调度滤波算法,通过实验仿真,分别与模糊算法、机器学习算法及卡尔曼滤波网络算法进行比较研究。结果表明:群调度滤波算法兼顾了定位精度与数据处理时间,具有较大优势,可在航空安全、船舶安全、应急监测、灾后抢险等安全科技领域广泛应用。     

基于人工神经网络的气体泄爆最大超压预测研究

为解决传统经验公式在预测气体泄爆中最大超压出现时的较大偏差或过于保守的问题,提出使用人工神经网络预测气体泄爆最大超压。基于124组实验数据,采用BP与RBF神经网络,通过优化算法计算与迭代循环对泄爆样本中的影响因素进行降维与选择,并确定2类神经网络本身在学习与计算气体泄爆样本时的相关参数。结果表明:PCA（主成分分析法）在当前样本条件下的降维效果较差,而通过迭代对比确认气体泄爆样本中的5类特征全部保留时神经网络的训练模拟效果最好;通过对124组实验数据进行随机挑选训练集与测试集的训练模拟结果发现,神经网络对气体泄爆中最大超压的预测效果较好;通过对比Molkov提出的和经Fakandu等改进的NFPA 68经验公式以及2类神经网络的预测结果表明,神经网络相比于传统气体泄爆经验公式具有明显优势。     

Location selection of emergency supplies repositories for emergency logistics management: A variable weighted algorithm

With the development of the city, the number of establishments that are proposed or under construction is increasing year by year, and if they are industries that handle flammable, explosive, toxic, harmful, and dangerous substances, the public safety will face great threats, which will bring great challenges to emergency rescue work. Therefore, providing reasonable solutions to the problem of location selection of emergency supplies repositories are necessary for improving the emergency response efficiency in chemical industrial parks. A mathematical model for location selection of emergency supplies repositories in emergency logistics management are presented considering more actual factors. The optimization objectives of the model are to minimize total transport length and cost. And then a Variable Weighted Algorithm is designed to solve the model, where an auxiliary function was constructed with different methods of building weighting factors based on the theory and method of solving multi-objective optimization problems in operational research. Simulation results show the effectiveness and feasibility of the models and algorithms presented in this paper.     

Research based on double coverage rate and reliability of gas detector layout optimization

The gas detector layout should be highly attuned to combustible gas leakage and attain a good reliability in avoiding detector malfunction, which is an important guarantee for the normal production of the chemical industry and other related enterprises. Herein, a gas detector layout optimization method based on double coverage and reliability is proposed. The key gas leakage monitoring area is determined through layout scene field investigation. To improve the detection probability and detection system reliability, the dual coverage target and voting mechanism are set, and the gas detector layout is determined with the ray-casting algorithm according to the coverage target. Combined with FLACS software to simulate a variety of typical leakage conditions under different layout scenarios, the relationship between the leaked gas concentration detected by gas detectors in each layout scheme and time is obtained, and the gas leakage detection probability in each layout scheme, number of detectors that can trigger the alarm, shortest time to trigger the alarm and reliability are comprehensively evaluated. The decision-maker selects the final gas detector layout plan according to the evaluation results and actual site needs. The study shows that the detection probability of each layout scheme set according to the double coverage is high, and multiple detectors can trigger the alarm (up to 100%), which ensures that the alarm can be triggered within 10 s under all applicable conditions. According to the evaluation results, the decision-maker can obtain a layout scheme that not only agrees with the actual site conditions but also attains a high detection probability, short detection time and strong reliability.