基于改进粒子滤波算法的水下地形辅助导航方法

目的 解决当前的粒子滤波算法用于水下航行器(AUV)基于极地区域的低分辨率海图时导航精度较低的问题。方法 提出了一种带有自抖动及修正的粒子滤波方法(SJCPF),在状态转移过程中引入粒子抖动,每次粒子位置更新时,引入额外的过程噪声,使得传统算法中过度集中的粒子适当向周围发散,改善算法本身及海图分辨率低带来的粒子多样性匮乏。在重采样步骤中,引入相关系数用于修正权值,进一步增加粒子多样性及算法的鲁棒性。结果 对传统PF及SJCPF进行仿真,相较于传统PF算法,SJCPF的导航均方根误差降低了27.7%,导航精度及鲁棒性都有显著的提升。结论 SJCPF的导航性能优于传统PF,选用皮尔逊相关系数,并在适当范围内选择较大的粒子数量和较高的测量频率,可以兼顾AUV的续航与导航精度。     

一种紫外-可见光谱检测水质COD预测模型优化方法

针对紫外-可见光谱法检测水质COD预测模型的精度低和收敛速度慢等问题,研究了一种基于粒子群算法联合最小二乘支持向量机(PSO_LSSVM)的水质检测COD预测模型优化方法,并引入主元分析(PCA)算法对模型输入光谱数据进行降维预处理,借以提高模型的收敛速度.结果表明,利用粒子群(PSO)算法收敛速度快和全局优化能力,优化了最小二乘支持向量机(LSSVM)模型的惩罚因子和核函数参数,避免了人为选择参数的盲目性,克服了传统LSSVM预测模型的精度较低、稳健性较差等缺点.通过以收敛时间、预测平均相对误差(MRE)和均方根误差(RMSE)为评价标准进行评估,输入样本经过PCA降维预处理的PSO_LSSVM模型的预测能力和输入样本未经过降维预处理的LSSVM模型与PSO_LSSVM模型进行了比较分析,输入样本经过PCA降维预处理的PSO_LSSVM模型预测效果最优,且此算法使用C语言实现,易于移植,这为紫外-可见光谱水质COD在线、实时性检测奠定了基础.     

基于粒子群优化的WA-SVM模型在滑坡位移预测中的应用

针对滑坡位移时间序列含大量噪声、具有明显的非线性等特征,本文提出了一种基于粒子群优化(PSO)的小波分析(WA)-支持向量机(SVM)滑坡位移预测模型(即WA-SVM模型)。该模型在混沌分析的基础上,首先用WA将滑坡位移序列分解成不同频率的分量,然后采用PSO算法优选SVM模型参数,并利用SVM模型预测各分量值,最后将各分量预测值组合得到最终预测值。结合滑坡位移序列实例,将基于粒子群优化的WA-SVM模型的预测结果与WA-BP模型、单独SVM模型进行对比,结果表明该滑坡位移序列存在混沌特性,基于粒子群优化的WA-SVM模型克服了噪声的干扰和参数优选的问题,具有较高的预测精度和预测效率,为滑坡位移的预测提供了一种新的方法。     

基于主成分分析和粒子群优化支持向量机的边坡稳定性评价

为科学评价边坡工程的稳定性,优化边坡稳定性的预测精度,提高工作效率,提出了基于主成分分析法(PCA)和粒子群算法(PSO)优化的支持向量机(SVM)模型。首先利用主成分分析法对边坡稳定性影响因子进行特征提取,以获得的主成分作为支持向量机的特征向量建立支持向量机模型,然后通过粒子群算法优化支持向量机参数,最终建立边坡稳定性评价模型,并对边坡实例的稳定性进行预测,结果表明:PCA-PSO-SVM模型的运行速度快,预测准确率达909%,满足工程要求。     

基于KPCA-CSO-RVM模型的工艺管道腐蚀速率预测

针对石油化工企业内工艺管道的腐蚀问题,提出一种基于核主成分分析(KPCA)算法、鸡群优化(CSO)算法、相关向量机(RVM)算法组合模型的工艺管道腐蚀速率预测方法,即KPCA-CSO-RVM组合模型。该方法首先对KPCA算法、CSO算法、RVM算法进行理论介绍,提出算法的组合方法;然后使用KPCA算法对工艺管道腐蚀速率的影响因素进行优选,使用CSO算法对RVM算法中的参数进行优选;最后采用某石油化工企业工艺管道腐蚀速率及其相关影响因素数据对KPCA-CSO-RVM组合模型进行训练,对部分工艺管道腐蚀速率进行预测,并通过计算预测误差来验证KPCA-CSO-RVM组合模型的预测效果。结果表明:基于KPCA-CSO-RVM组合模型的工艺管道腐蚀速率预测结果的最大预测误差不超过4%,平均相对误差仅为2.03%,均方根误差为0.003 5,其预测效果优于其他预测模型,证明KPCA-CSO-RVM组合模型在工艺管道腐蚀速率预测方面具有可行性和先进性。     

基于空间拟合和神经网络的机场噪声预测集成模型

将集成学习方法引入到机场噪声预测中,提出一种基于空间拟合和神经网络的机场噪声预测集成模型.该模型采用空间拟合算法和BP神经网络算法构建基学习器,然后通过所提出的基于观察学习的异构集成算法将基学习器集成起来,获得集成的机场噪声预测结果.该模型通过集成多个异构机场噪声预测基学习器,能够有效提升预测准确率.实验结果表明,本文所提出的基于观察学习的异构集成算法,较之其他异构集成算法,在解决机场噪声预测问题上准确性更高、容错性更强.     

基于PSO算法的BP神经网络对水体叶绿素a的预测

BP神经网络(Back Propagation Network)在水体富营养化评价及预测中已广泛应用,但传统BP算法的收敛速度慢并易陷入局部最优. 提出了一种基于微粒群(PSO)算法的BP神经网络模型,利用PSO对神经网络的权值进行修正,优化神经网络结构及算法全局收敛性. 选择最能代表明湖水质状况的5号采样点作为研究对象,把2009年4月—2010年3月的月样本插值为周样本,对明湖ρ(Chla)的短期变化趋势进行了预测,并用6号采样点数据来验证网络的泛化能力. 比较分析基于PSO算法的新模型与传统BP算法模型的预测精度表明,新模型有效克服了传统算法的缺点,提高了网络的预测能力和学习能力.      

基于环境监管平台的脱硫烟气SVR模型及优化

基于环境监管平台建立脱硫烟气SVR预测模型,通过Pearson系数、经验公式选择特征,利用网格寻参(gridsearch)、遗传算法(GA)以及粒子群优化算法(PSO)在5-fold交叉验证下对该模型优化、训练并预测。误差分析和比较表明SVR模型预测能力较高,遗传算法优化适应于此类数据训练,且SVR模型对于机组有依赖性。     

改进BFO优化BPNN的自来水混凝加药预测

本文给出一种量子粒子群（QPSO）算法、改进菌群觅食（IBFO）算法优化反向传播神经网络（BPNN）的混凝投药预测模型,利用量子粒子群的个体极值与群体极值更新细菌觅食算法趋化过程中细菌位置;通过细菌协同改进趋化算子提高优化精度,结合差分算法改进繁殖算子解决部分维度退化问题,加入轮盘赌方法作为选择机制改进迁移算子来克服优化过程中优秀解消失的缺陷;进而优化BP神经网络的权值、阈值以此预测混凝剂投药量.对云南某自来水厂的数据进行离线训练和模型测试,结果表明,所提算法预测结果的均方误差（MSE）达0.0116mg/L,平均绝对误差百分比（MAPE）达1.36%,在预测精度和稳定性上优于BFO-BPNN、PSO-BPNN等模型.     

基于IPSO-DE-MH算法的突发水污染事件预测模型参数识别

预测模型是有效应对突发水污染事件的前提与基础。为了提高预测模型的准确性,提出了一种新的参数识别方法。首先从反问题与贝叶斯估计的视角构建突发水污染事件预测模型;然后在Metropolis-Hastings抽样方法的基础上,引入混沌理论、粒子群算法、微分进化算法等的思想,设计了一种新的参数识别方法,即IPSO-DE-MH算法;最后通过数值分析验证所设计方法的有效性和准确性。结果表明:新方法能较好地识别模型参数,为突发事件应急预测模型的快速构建提供了新思路。     

EDTA-enhanced phytoremediation of lead contaminated soil by Bidens maximowicziana

Phytoremediation is a potential cleanup technology for the removal of heavy metals from contaminated soils.Bidens maximowicziana is a new Pb hyperaccumulator,which not only has remarkable tolerance to Pb but also extraordinary accumulation capacity for Pb.The maximum Pb concentration was 1509.3 mg/kg in roots and 2164.7 mg/kg in overground tissues.The Pb distribution order in the B. maximowicziana was:leaf>stem>root.The effect of amendments on phytoremediation was also studied.The mobility of soil Pb and the Pb concentrations in plants were both increased by EDTA application.Compared with CK(control check),EDTA application promoted translocation of Pb to overground parts of the plant.The Pb concentrations in overground parts of plants was increased from 24.23-680.56 mg/kg to 29.07-1905.57 mg/kg.This research demonstrated that B.maximowicziana appeared to be suitable for phytoremediation of Pb contaminated soil,especially,combination with EDTA.     

Distribution and ecological effect of mercury in Laogang landfill, Shanghai, China

Laogang landfill near Shanghai is the largest landfill in China, and receives about 10000 t of daily garbage per day, Samples of topsoil and plants were analyzed to evaluate mercury pollution from the landfill. For topsoil samples, there were significant correlations among total mercury （HgT）, combinative mercury （Hgc） and gaseous mercury （HgG）, and content of total organic carbon （TOC）, but, no significantly relationship was found between Hg content and filling time. Hg content changes in vertical profiles with time showed that the average Hgv of profiles 1992, 1996, and 2000 was similar, but their average HgG was quite different. HgT was significantly correlated with Hgc in profile 1992 and 2000, and Hgv was significantly correlated with Hg6 in profile 1996. HgG/Hgv ratio in profile samples decreased in the order of （HgG,/HgT）1992〉（HgG/HgT）1996〉〉（HgG/HgT）2000. A simple outline of Hg release in landfill could be drawn： with increasing of filling time, degradation undergoes different biodegradation, accordingly, gaseous mercury goes through small, more, and small proportion to total mercury. Distribution of Hg in plants was inhomogeneous, following the order of leaf〉root〉stem. The highest value of leaf may be associated with higher atmospheric Hg from landfill. Ligneous plants （e.g. Phyllostachys glanca, Prunus salicina and Ligustrum lucidum） are capable of enriching more Hg than herbaceous plants.     

Toxic effects of acetochlor, methamidophos and their combination on nifH gene in soil

Toxic effects of two agrochemicals on nifH gene in agricultural black soil were investigated using denaturing gradient gel electrophoresis （DGGE） and sequencing approaches in a microcosm experiment. Changes of soil nifH gene diversity and composition were examined following the application of acetochlor, methamidophos and their combination. Acetochlor reduced the nifH gene diversity （both in gene richness and diversity index values） and caused changes in the nifH gene composition. The effects of acetochlor on nifH gene were strengthened as the concentration of acetochlor increased. Cluster analysis of DGGE banding patterns showed that nifH gene composition which had been affected by low concentration of acetochlor （50 mg/kg） recovered firstly. Methamidophos reduced nifH gene richness that except at 4 weeks. The medium concentration of methamidophos （150 mg/kg） caused the most apparent changes in nifH gene diversity at the first week while the high concentration of methamidophos （250 mg/kg） produced prominent effects on nifH gene diversity in the following weeks. Cluster analysis showed that minimal changes of nifH gene composition were found at 1 week and maximal changes at 4 weeks. Toxic effects of acetochlor and methamidophos combination on nifH gene were also apparent. Different nifH genes （bands） responded differently to the impact of agrochemicals： four individual bands were eliminated by the application of the agrochemicals, five bands became predominant by the stimulation of the agrochemicals, and four bands showed strong resistance to the influence of the agrochemicals. Fifteen prominent bands were partially sequenced, yielding 15 different nifH sequences, which were used for phylogenetic reconstructions. All sequences were affiliated with the alpha- and beta-proteobacteria, showing higher similarity to eight different diazotrophic genera.     

Enzymatic oxidation of aqueous pentachlorophenol

The influence of the nonionic surfactant Tween 80 on pentachlorophenol （PCP） oxidation catalyzed by horseradish peroxidase was studied. The surfactant was tested at concentrations below and above its critical micelle concentration （CMC）. Enhancement of PCP removal was observed at sub-CMCs. The presence of Tween 80 in the reaction mixture reduced enzyme inactivation which occurred through a combination of free radical attack and sorption by precipitated products. A simple first-order model was able to simulate time profiles for enzyme inactivation in the presence or absence of Tween 80. At supra-CMCs, the surfactant caused noticeable reductions in PCP removal, presumably through micelle partitioning of PCP which precluded the hydrophobic PCP molecule from interacting with the enzyme.     

Decomposition of alachlor by ozonation and its mechanism

Decomposition and corresponding mechanism of alachlor, an endocrine disruptor in water by ozonation were investigated. Results showed that alachlor could not be completely mineralized by ozone alone. Many intermediates and final products were formed during the process, including aromatic compounds, aliphatic carboxylic acids, and inorganic ions. In evoluting these products, some of them with weak polarity were qualitatively identified by GC-MS. The information of inorganic ions suggested that the dechlorination was the first and the fastest step in the ozonation of alachlor.     

Arsenic uptake by arbuscular mycorrhizal maize （Zea mays L.） grown in an arsenic-contaminated soil with added phosphorus

The effects of arbuscular mycorrhizal (AM) fungus (Glomus mosseae) and phosphorus (P) addition (100 mg/kg soil) on arsenic (As) uptake by maize plants (Zea mays L.) from an As-contaminated soil were examined in a glasshouse experiment.Non-mycorrhizal and zero-P addition controls were included.Plant biomass and concentrations and uptake of As,P,and other nutrients,AM colonization,root lengths,and hyphal length densities were determined.The results indicated that addition of P significantly inhibited root colonization and development of extraradical mycelium.Root length and dry weight both increased markedly with mycorrhizal colonization under the zero-P treatments,but shoot and root biomass of AM plants was depressed by P application.AM fungal inoculation decreased shoot As concentrations when no P was added,and shoot and root As concentrations of AM plants increased 2.6 and 1.4 times with P addition,respectively.Shoot and root uptake of P,Mn,Cu,and Zn increased,but shoot Fe uptake decreased by 44.6%,with inoculation, when P was added.P addition reduced shoot P,Fe,Mn,Cu,and Zn uptake of AM plants,but increased root Fe and Mn uptake of the nonmycorrhizal ones.AM colonization therefore appeared to enhance plant tolerance to As in low P soil,and have some potential for the phytostabilization of As-contaminated soil,however,P application may introduce additional environmental risk by increasing soil As mobility.     

Degradation of metabolites accumulated of benzo[a]pyrene by coupling Penicillium Chrysogenum with KMnO4

Several main metabolites of benzo[a]pyrene （BaP） formed by Penicillium chrysogenum, Benzo[a]pyrene-1,6-quinone （BP 1,6- quinone）, trans-7,8-dihydroxy-7,8-dihydrobenzo[a]pyrene （BP 7,8-diol）, 3-hydroxybenzo[a]pyrene （3-OHBP）, were identified by high-performance liquid chromatography （HPLC）. The three metabolites were liable to be accumulated and were hardly further metabolized because of their toxicity to microorganisms. However, their further degradation was essential for the complete degradation of BaP. To enhance their degradation, two methods, degradation by coupling Penicillium chrysogenum with KMnO4 and degradation only by Penicillium chrysogenum, were compared; Meanwhile, the parameters of degradation in the superior method were optimized. The results showed that （1） the method of coupling Penicillium chrysogenum with KMnO4 was better and was the first method to be used in the degradation of BaP and its metabolites; （2） the metabolite, BP 1,6-quinone was the most liable to be accumulated in pure cultures; （3） the effect of degradation was the best when the concentration of KMnO4 in the cultures was 0.01% （w/v）, concentration of the three compounds was 5 mg/L and pH was 6.2. Based on the experimental results, a novel concept with regard to the bioremediation of BaP-contaminated environment was discussed, considering the influence on environmental toxicity of the accumulated metabolites.     

Impact of atrazine and nitrogen fertilizers on the sorption of chlorotoluron in soil and model sorbents

Sorption of chlorotoluron in ammonium sulfate, urea and atrazine multi-solutes system was investigated by batch experiments. The results showed application of nitrogen fertilizers to the soil could affect the behavior of chlorotoluron. At the same concentration of N, sorption of chlorotoluron decreased as the concentration of atrazine increased on the day 0 and 6 in soil, respectively. The sorption of chlorotoluron increased from 0 to 6 d when soils were preincubated with deionized water, ammonium sulfate and urea solution for 6 d. That indicated incubation time was one of the most important factors for the sorption of chlorotoluron in nitrogen fertilizers treatments. The individual sorption isotherms of chlorotoluron in rubbery polymer and silica were strictly linear in single solute system, but there were competition sorption between pesticides or between pesticides and nitrogen fertilizers. That indicated the sorption taken place by concurrent solid-phase dissolution mechanism and sorption on the interface of water-organic matter or water-mineral matter.     

基于综合水质标识指数和对应分析法的校园河道水质评价

以三峡大学的校园河道求索溪为研究对象,利用综合水质标识指数法确定求索溪水质类别,分析其水质时空变化规律,并利用对应分析法得出求索溪中不同监测点的主要污染因子.研究结果表明:求索溪整体的综合水质标识指数为7.423,整体水质为劣V类(地表水环境质量标准GB 3838-2002)且黑臭.从时间变化来看,求索溪4月份的水质最差,5月份次之,4、5月份所有监测点的水质都劣于V类且黑臭;8月份水质最好,水质为Ⅳ类;从空间分布来看,8个监测点综合水质标识指数均超过6.0,水质为劣V类,其中6号监测点的水质相对最好,监测点3号的水质相对最差;对应分析法得出求索溪的整体水体污染程度受总氮因子的影响最大,其次为总磷.该研究拟为求索溪及类似校园河道的水环境治理研究提供基础依据和参考.     

Effects of chitosan on growth of an aquatic plant (Hydrilla verticillata) in polluted waters with different chemical oxygen demands

Effects of chitosan on a submersed plant, Hydrilla verticillata, were investigated. Results indicated that H. venicillata could prevent ultrastructure phytotoxicities and oxidativereaction from polluted water with high chemical oxygen demand (COD). Superoxide dismutase (SOD) activity and malondialdehyde (MDA) contents in H. verticillata treated with 0.1% chitosan in wastewater increased with high COD (980 mg/L) and decreased with low COD (63 mg/L), respectively. Ultrastructural analysis showed that the stroma and grana of chloroplast basically remained normal. However, plant cells from the control experiment (untreated with chitosan) were vacuolated and the cell interval increased. The relict of protoplast moved to the center, with cells tending to disjoint. Our findings indicate that wastewater with high COD concentration can cause a substantial damage to submersed plant, nevertheless, chitosan probably could alleviate the membrane lipid peroxidization and ultrastructure phytotoxicities, and protect plant cells from stress of high COD concentration polluted water.