The research of below-cloud scavengingof rainwater in Guilin City

Ｔｈｅｒｅｓｅａｒｃｈｏｆｂｅｌｏｗ－ｃｌｏｕｄｓｃａｖｅｎｇｉｎｇｏｆｒａｉｎｗａｔｅｒｉｎＧｕｉｌｉｎＣｉｔｙＢａｉＹｕｈｕａ；ＹａｏＲｏｎｇｋｕｉ；ＬｉＸｉｎ；ＴａｎｇＸｉａｏｙａｎ（ＴｈｅＤｅｐａｒｔｍｅｎｔｏｆＴｅｃｈｎｉｃａｌＰｈｙｓｉｅ...     

黄酒行业工业废水COD与BOD_5相关性研究

对黄酒厂各工序产生废水及各酒厂产生综合性废水及其处理后的排放水进行ＣＯＤ、ＢＯＤ５的测定，对两者的相关性进行研究，同时对两种回归方程作方差分析及相关系数的显著性检验．回归方程的建立对酒厂污染源监测分析、环境管理具有实际意义．     

Application of Bayesian regularized BP neural network model for analysis of aquatic ecological data-A case study of chlorophyll-a prediction in Nanzui water area of Dongting Lake

Bayesian regularized BP neural network（BRBPNN） technique was applied in the chlorophyll-α prediction of Nanzui water area in Dongting Lake. Through BP network interpolation method, the input and output samples of the network were obtained. After the selection of input variables using stepwise/multiple linear regression method in SPSS i1.0 software, the BRBPNN model was established between chlorophyll-α and environmental parameters, biological parameters. The achieved optimal network structure was 3-11-1 with the correlation coefficients and the mean square errors for the training set and the test set as 0.999 and 0.000？8426, 0.981 and 0.0216 respectively. The sum of square weights between each input neuron and the hidden layer of optimal BRBPNN models of different structures indicated that the effect of individual input parameter on chlorophyll- α declined in the order of alga amount 〉 secchi disc depth（SD） 〉 electrical conductivity （EC）. Additionally, it also demonstrated that the contributions of these three factors were the maximal for the change of chlorophyll-α concentration, total phosphorus（TP） and total nitrogen（TN） were the minimal. All the results showed that BRBPNN model was capable of automated regularization parameter selection and thus it may ensure the excellent generation ability and robustness. Thus, this study laid the foundation for the application of BRBPNN model in the analysis of aquatic ecological data（chlorophyll-α prediction） and the explanation about the effective eutrophication treatment measures for Nanzui water area in Dongting Lake.     

光化技术在苎麻脱胶废水处理中的运用

介绍在生化方法的基础上 ,引用光化技术 ,解决苎麻脱胶废水处理这一难题。     

Enzymatic degradation of poly([R,S] β-hydroxybutyrate)

The synthetic analogue of a bacterially produced polyester, poly(-hydroxybutyrate) (PHB) was synthesized from racemic -butyrolactone using anin situ trimethyl aluminum-water catalyst. The polymer was fractionated into samples differing in molecular weight and isotactic diad content. The latter was closely related to degree of crystallinity. The biodegradation of these fractions were examined by monitoring mass loss over time in the presence of anAlcaligenes faecalis T1 extracellular bacterial poly(-hydroxybutyrate) depolymerase. The fraction with high isotactic diad tacticity content showed little or no degradation over a 50 hour incubation period, whereas the fraction of intermediate isotactic diad content degraded in a continuous steady fashion at a rate that was less than that for bacterial PHB. The low isotactic diad fraction underwent a rapid initial degradation, followed by no further mass loss. The presence of stereoblocks in the polymer structure of the various fractions was an influence on the degree of susceptibility towards degradation and is related to sample crystallinity.     

五日生化需氧量(BOD5)测定方法探讨

本文针对GB／T7488-1987《水质五日生化需氧量(BOD5)稀释与接种法》中BOD5的测定和计算时接种稀释水的空白扣除方法，提出了直接测接种液的BOD5值，按接种液的比例在水样中进行扣除的方法，提高了BOD5值的准确性。更能反应BOD5的真实性。     

北京地区15000年以来环境变迁中灾害性气候突变事件的讨论

通过高分辨率孢粉分析及烧失量、炭屑实验结果的统计分析，结合１４Ｃ、古地磁等，对北京房山东甘池１５０００ａ以来植被变化和环境变迁进行了较为深入的研究，特别强调气候变化的灾害性突变事件。初步得知约在１４１００～１４０００ａＢ．Ｐ．前后曾出现与哥得堡反转相对应的事件，在１００００ａＢ．Ｐ．左右出现类似与新仙女木事件相对应的事件，在大约５７７０ａＢ．Ｐ．和４５６０ａＢ．Ｐ．左右及２８５０～２６５０ａＢ．Ｐ．出现了大暖期的突然降温事件。     

生活事件分析法在煤矿企业中的应用

我国煤矿一再的发生事故,绝大部分原因是人为失误.根据人为失误的发生机理,本文提出了生活事件分析方法,并研制了其配套应用程序,对某煤矿企业的人因事故危险性进行了实际评价.该方法可方便地应用于煤矿企业人为事故的预防工作中.     

BP神经网络技术在交通工具火灾预警中的应用

通过对交通工具火灾成因机理以及现有典型交通工具火灾实例的分析研究,建立了预警评价指标体系。根据非线性理论和模式识别原理以及交通工具火灾的特点,采用基于BP神经网络的智能灾害诊断方法,对交通工具火灾发生的可能性和危险性进行评估和预测。研究表明:BP神经网络方法是解决非线性系统问题的一种有效方法,与传统的预警方法相比,该方法具有速度快、效率高、可信度好、自学能力强等特点。采用BP网络进行交通工具火灾预警时,只需输入影响交通工具火灾发生的相关指标因素,网络便可在较短的时间内得出可靠的预警结果。     

事故前期发展过程浅析

任何事故发生之前都有一段发展演变的过程.当失误不断积累,超过系统或组织自身的自适应能力以后,一旦激发事件出现,就有可能导致事故的发生.本文在分析事故致灾条件的基础上,将其前期发展过程分为了7个阶段,得出了事故前期发展过程流程图.