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.     

Human adaptation to climate change: a review of three historical cases and some general perspectives

To study mitigation and adaptation to climate change, social scientists have drawn on different approaches, particularly sociological approaches to the future and comparative history of past societies. These two approaches frame the social and temporal boundaries of decision-making collectivities in different ways. A consideration of the responses to climate variability in three historical cases, the Classic Maya of Mexico and Central America, the Viking settlements in Greenland, and the US Dust Bowl, shows the value of integrating these two approaches.     

L型栓子成形及模具结构

简要论述了L型栓子的成形方法、注意事项与模具结构,其方法简单可靠.     

我国可持续设计及其实践的探讨

可持续设计超越了传统设计和生态设计，要求平衡经济、环境、社会３方面的发展需要，在可持续设计的基本工具产品生命周期评价尚需进一步发展的同时，建立适当的设计准则是当前发展可持续设计的可行途径。     

工业废石膏在地基加固中的应用

研究和实践表明:工业废石膏与水泥配合加固软土地基,与单用水泥加固相比,加固土强度可以成倍提高。废石膏的最佳掺量一般为水泥用量的20%左右。用废石膏水泥加固时,其水化物不仅有与水泥相同的水化硅酸钙将松散的土粒胶结成整体,而且还产生钙矾石,其晶体膨胀填充孙隙使加固土强度进一步提高。利用废石膏加固地基不会产生二次污染。     

大体积垃圾露天堆肥试验

通过进行大体积露天垃圾堆肥试验，证明大体积鲜垃圾露天单元式堆肥，是在堆温、养分及卫生学等各项指标均达到国家标准的厌氧高温堆肥     

陇西立交枢纽生态绿化工程研究

在陇西立交枢纽的设计和施工工程中，以恢复和优化公路生态环境，提高行车的安全和舒适性为目的，把绿化和植被恢复作为一个重要因子进行全血考虑，使植物材料搭配，经过一年的实践已被见成效。     

延迟焦化复合废水处理研究

通过自由沉降和离心分离试验结果的比较，考察了加热离心分离法处理炼油厂含油焦化废水脱除固体颗粒的效果。结果表明，加热离心分离法大大改善了含油焦化废水的脱水和脱固性能，在加热到６０～８０℃时，７５％以上的固体颗粒可被脱除     

秦山核电站运行后对邻近海域生态环境及其水质影响评价

通过对秦山核电站运行前后相隔近７ ａ 的工程区邻近海域四季度月生物与非生物环境生态各要素的两次调查分析，进行了Ⅰ期工程运行以来海域生态环境及水质状况的影响评价。结果认为，秦山海域具典型强潮河口湾生态特征，营养盐丰富，而生产力低下。潮汐、径流和湾外海水入侵是导致海洋环境要素季节和年际变化并直接影响海洋生物结构的主要因子。水体富营养化指数上升是沿岸工业和生活污水大量排放的结果。核电站运行中冷却水的热排放由于杭州湾特殊的海底地形和强潮混合的水体环境对附近水域的热升温效应不明显。秦山Ⅰ期工程运行以来对海域生态环境和水质变化未见明显影响     

计算机辅助安全评价技术

本文论述了计算机辅助安全评价技术的国际进展情况,给出了我国发展计算机安全评价技术的建议.