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.     

灰色关联分析在城市污水处理厂规划改造决策中的应用

应用灰色系统理论中的灰色关联度定义 ,建立了城市污水处理厂改造的灰色决策模型 ,并对 1 1座污水处理厂进行了改造决策的综合评价 ,结果表明 ,其评价结果符合实际。     

再燃脱硝的动力学模拟和组分影响分析

采用Gear算法模拟了再燃脱硝再燃区中化学反应过程，反应的热力学和动力学参数采用GRI3．0,模拟结果和实验结果作比较，说明该模拟可以用于预测再燃脱硝的基本过程。在模拟的基础上讨论了不同再燃燃料及其中的不同组分如HCN、NH3、H2和CO等对脱硝效果的影响。     

多元回归分析法在突发性事故污染预测中的应用

运用多元回归性，通过预测模型的选择、基础数据系列化、回归模型的建立和回归效果的检验，建立了化学污染危害面积、纵深与诸条件的关系，达到了快速估算的目的，是突出性化学环境污染危害预测的一种方法。     

灰色二阶预测模型GM（2，1）在排污收费中的应用

本文运用灰色理论建立了排污收费的灰色二阶预列模型GM(2，1)，给出了GM(2，1)模型精确求解方法，并以某地排污收费为例进行模型拟合。经检验该模型的精度比GM(1，1)模型精度高，最后指出了运用该模型的条件。该模型为环境管理宏观调控的有效实施提供了一种新型的方法和手段。     

Analysis on reasons for the Yellow River''s dry-up and its  eco-environmental impacts

The Yellow River, or Huanghe, is one of the most important river in China. It is the major water resources for north and northwest China. Since 1972, the Yellow River's dry-up has occurred frequently and become even more year by year. Except the huge loss to social life and economic development, the Yellow River's dry-up brings about great impacts to eco-environment. This paper analyzed the reasons and impacts from multi-aspect: effects of climate change, influence of human activities and impacts to delta's eco-environment, aquatic life resources, agricultural eco- environment, water pollution and flood prevention as well.     

Game theory approach to optimal capital cost allocation in pollution control

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量纲分析对污水近区初始稀释度变化规律的探讨

在上海合流污水二期工程白龙港排放口水力模型试验基础上，根据模型实验的大量数据，采用量纲分析方法对近区初始稀释度的变化规律进行了探讨，得出了描述该区域初始稀释度变化规律的半理论半经验公式，可为实际排海工程的设计提供依据。     

草原干旱对天然牧草生长发育及产量形成的影响

天然牧草是放牧畜牧业的主要物质基础 ,其生长动态和产量形成受气象条件的影响和制约 ,特别是水份条件在很大程度上决定着植物的地理分布和生物生产力水平。本文根据大气降水量及土壤水份条件与天然牧草生长动态及产量的关系 ,建立了天然牧草生长高度动态模式和草原初级气候生产力模式 ,以便进一步研究 ,为草原干旱的气候指标提供理论依据     

海水电磁屏蔽体

目的将海水作为一种电磁屏蔽材料,研究其电磁屏蔽效能以及影响因素。方法基于海水和玻璃的电磁特性参数,并利用电场和磁场切向分量连续边界条件,推导由双层玻璃封装海水所构成的复合电磁屏蔽体结构的屏蔽效能计算公式。结果具有一定厚度和盐度的海水墙体可以展示出良好的电磁屏蔽效能。通过增加海水层的厚度,提高海水的盐度以及温度,均可以有效增强海水电磁屏蔽体的屏蔽效能。改变封装海水的玻璃层厚度,对海水电磁屏蔽体的屏蔽效能影响较小。结论海水可以作为一种有效的电磁屏蔽材料,并具有光波透明、电磁屏蔽效能易重构、可循环导热等独特的优势。在军事和民用领域,海水电磁屏蔽体将具有重要的理论和应用价值。