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.     

北京市冬季公共场所室内空气中TSP, PM10, PM2.5和PM1污染研究

在北京市的海淀区、朝阳区、丰台区和昌平区选择了 49个公共场所 (包括办公室、宾馆、图书馆、超市等等 ) ,分别对其室内空气中TSP ,PM10 ,PM2 5 和PM1的浓度进行了测定 ,并且对室内空气中粉尘含量的影响因素进行了分析和探讨 .研究结果表明 ,繁忙的交通状况和建筑施工将明显增加公共场所室内空气中TSP ,PM10 ,PM2 5 和PM1浓度 .频繁的室内清扫有助于降低室内空气中颗粒物的浓度 .在室内空气中 ,PM10 浓度与TSP浓度呈现明显的正向线性相关性 ,而PM2 5 和PM1的浓度与PM10 浓度的相关性较差     

西湖底泥不同供氧条件下有机质降解及CO2与CH4释放速率的模拟研究

采用密闭培养实验装置于室温（２５℃左右）及ｐＨ为７５条件下，对西湖底泥中有机质完全降解及转化为ＣＯ２和ＣＨ４的速率进行了模拟研究．结果表明，在西湖湖水现有供氧水平（５０—８６ｍｇ（Ｏ２）／Ｌ）条件下，底泥中有机质完全降解的速率最为缓慢，培养期间（４２天）平均只有０７２ｍｇ（Ｃ）／（ｋｇ·ｄ）．当湖水供氧水平进一步上升（８６→１２０→１６０ｍｇ（Ｏ２）／Ｌ），ＣＯ２释放速率增加，最大值可达到８７ｍｇ（Ｃ）／（ｋｇ·周）；当湖水供氧水平下降（８６→０ｍｇ（Ｏ２）／Ｌ），ＣＨ４释放速率加快，最大值可达到４６ｍｇ（Ｃ）／（ｋｇ·周）．     

乙醇废水的超临界水氧化反应路径及动力学研究

研究了超临界水氧化法 (SCWO)处理乙醇废水过程的反应路径和动力学 .乙醇SCWO反应的最终产物为CO2 ,CO是此过程的中间产物 .以幂指数方程描述乙醇SCWO反应动力学 ,得到对于乙醇的反应级数为 1,对氧气的反应级数为 0 .求出活化能和指前因子分别为 3 5 1× 10 5J·mol-1和 7 74× 10 2 1s-1.方程计算值和实验值吻合较好 ,误差基本在 10 %以内     

双循环流化床烟气悬浮脱硫技术工业化试验研究

在一台75t/h电站燃煤锅炉上，设计建造了基于双循环流化床烟气悬浮脱硫技术工艺的脱硫装置，烟气处理量为140000m^3/h，该脱硫装置主要特征是循环灰采用两经分离，内外双重循环方式和石灰浆液采用多层喷浆方式。介绍了该装置的系统组成、工作原理、工艺流程、工业化实验结果。实际表明：当Ca/S=1.3,△T=10℃时，脱硫效率达90%；固体颗粒物的循环使脱硫效率提高15%左右。     

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。     

有机磷酸酯诱导迟发性神经毒性及其对神经毒性酯酶(NTE)活性影响的动态研究

以成年产卵来航母鸡为试验动物，研究了三甲基苯基磷酸酯诱导的迟发性神经毒性。试验发现，母鸡口服ＴＯＣＰ后经过大约８－１０ｄ的潜伏期开始出现中毒症状，其表现为以步态失调为主要特征的运动障碍呈进行性加重，至２１ｄ开始便发展为瘫痪。     

发光细菌对化合物的致突效应与检测研究

从明亮发光杆菌Ｔ３小种分离到的自发暗变种（Ｋ变种）Ｔ９１７１菌种对三种化合物呈致空变阳性反应，对二种化合物呈可疑阳性，发光细菌暗变种对遗传毒性化合物致突效应的灵敏度高于Ａｍｅｓ试验和浦乳动物致癌试验，可望成为一种简易灵敏的测试环境致突变物的短期生物学试验方法。     

利用微生物进行煤炭脱硫

从松藻煤矿分离到的氧化亚铁硫杆菌(Thiobacillus ferrooxidans)菌株T-4,能够利用煤炭中的黄铁矿作为能源基质,用含有细胞量10~8-10~9个/ml,pH1.55-1.70的种菌液,脱除煤炭中的无机硫,并进行了细菌煤炭脱硫的条件试验,9个样品4—72h试验结果,总硫量由1.31—2.45％降至1.05—1.88％,黄铁矿硫脱除率达86.11—95.16％.     

The epidemic characteristics of Kaschin-Beck disease (KBD) in different eco-environments

Epidemiological survey of 573 families, clinical examination of 2593 persons, and X-ray examination of 1136 persons (in 16 typical endemic villages) were conducted, based on the classification of endemiology for KBD disease areas, i.e, mountain type, loess plateau type, plateau type, and flatlands type. It was revealed that the KBD disease areas exhibited the regular pattern of corming-into-being, development and passing-away and the characteristics of growth and decline. Further, it was found clinically that the disease areas may be divided into 4 types, i.e., recent onset, developing, stable, and historical. This division is simple and easy, practical, scientific, and reliable and can be applied by medical personnel at different levels.