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.     

上海滨岸潮滩不同粒径沉积物中无机形态磷的分布特征

以地理环境独特的上海滨岸带为研究对象，根据对冬季潮滩悬浮层、表层沉积物的研究，初步探讨了潮滩不同粒径沉积物中各无机形态磷的地球化学特征：DP、(Fe Al)-P在靠近排污口的采样点含量高，同时随粒径变化复杂；沉积物中（Fe Al)-P含量随粒径变大而升高，悬浮层沉积物中（Fe Al)-P更能指示环境的污染状况；一般细粉砂质沉积物中Ca-P含量高。     

在江苏省开展建设工程第三方环境监理的思考

目前国内部分省市已陆续开展建设工程环境监理的试点工作，并取得一些好的经验。本文通过分析开展第三方环境监理工作的必要性和国内几家试点工作的进展情况，提出了在江苏省开展建设工程第三方环境监理工作的对策。     

WJ-RO1干膜耐磨自润滑涂料在某枪械上的应用

概述了干膜润滑涂层的原理.研制的WJ-RO1干膜耐磨自润滑涂层具有耐磨减摩自润滑性能突出,耐腐蚀性能优异,能适应海洋大气环境等特点.介绍了其组成、理化性能,以及应用施工等情况.在兵器某枪械上应用效果良好.     

冷原子吸收光度法测定工业用浓盐酸中痕量汞

通过进样管道的设计,可能存在的干扰,以及工作参数的详细研究,建立了用冷原子吸收光度法直接测定工业用浓盐酸中痕量汞的分析方法。实际样品测定结果表明,该方法可靠,准确可行。     

长江口潮滩沉积物生物硅的分布及其影响因素

 以长江口滨岸潮滩作为典型研究区,对潮滩表层沉积物中生物硅(BSi)的时空分布进行了研究,并探讨了沉积物理化性质对BSi赋存特征的影响.结果表明,潮滩沉积物中BSi的含量具有明显的时空变化差异,2月份BSi的含量在0.46%～1.61%之间,总体上具有自陆向海逐渐增加的变化趋势;8月份BSi的含量在0.39%～1.36%之间,其沿程分布模式与2月份相反.沉积物理化性质与BSi之间的相关分析揭示,BSi含量与沉积物机械组成、有机质有密切关系,在细颗粒且富含有机质的沉积物中易于BSi的累积和赋存.此外,底栖硅藻可能是潮滩沉积物中BSi的重要来源,但是底栖硅藻作为BSi来源的相对重要程度存在明显的空间差异.     

GIS在环境影响评价中的应用

简要介绍了环境影响评价（EIA）和地理信息系统（GIS）技术的特点，阐述了两者结合的必要性。讨论了GIS技术在环境影响评价领域中的应用现状，重点介绍了GIS技术在项目EIA、区域EIA、累积EIA及战略EIA，环境影响后评价中的应用。在此基础上进一步对GIS在环境影响评价中的应用进行了展望，重点介绍了GIS在公众参与中的应用及基于“5S”的EIA。     

无排泥条件下HRT对膜生物反应器硝化性能的影响及其生物群落结构分析

以无机氨氮废水(NH+4 N,500mg·L-1)为处理对象,在不排泥条件下逐渐缩短膜生物反应器的水力停留时间(HRT,30h～5h),连续运行260d.在反应器内的氨氮容积负荷和污泥负荷分别为1 2kg·(d·L)-1和2 13kg·kg-1·d-1时,氨氮去除率达98 2%以上.当HRT减少至7h时开始出现NH+4 N和NO-2 N的积累.尽管反应器内MLSS随着运行时间的延长在逐步上升,氨氧化菌(AOB)和亚硝酸氧化菌(NOB)的数量分别从HRT10h和15h起开始下降.16SrDNA聚合酶链式反应结合变性梯度凝胶电泳(PCR DGGE)的分析发现反应器内生物多样性随着运行时间的延长而增加,测序结果表明进行氨氧化作用的主要是亚硝化单胞菌属(Nitrosomonassp.),进行亚硝酸氧化的主要是硝化螺菌属(Nitrospirasp.).尽管反应器只进行无机氨氮配水,仍存在大量的异养菌,估计其生长是以胞外分泌产物和细胞裂解产物为基质.     

从含银的废催化剂中回收白银

介绍了从含银的废催化剂中回收白银的一种新方法。采用氨浸A还原剂还原,浸出率98.5%,还原率99.9%,直接可获高纯度的银粉,金属银纯度可达99.9%。     

Treatment of 2-phenylamino-3-methyl-6-di-n-butylaminofluoran production effluent by combination of biological treatments and Fenton＇s oxidation

High strength refractory organic stream is produced during the production of 2-phenylamino-3-methyl-6-di-n-butylaminofluoran （One Dye Black 2, abbr. ODB 2）, a novel heat-sensitive material with a promising market. In this study, a combination of acidificationprecipitation, primary biological treatment, Fenton＇s oxidation and another biological treatment was successfully used for the removal of COD from 18000-25000 mg/L to below 200 mg/L from the ODB 2 production wastewater in a pilot experiment. A COD removal of 70%-80% was achieved by acidification-precipitation under a pH of 2.5-3.0. The first step biodegradafion permitted an average COD removal of 70% under an hydraulic residence time （HRT） of 30 h. By batch tests, the optimum conditions of Fenton＇s oxidation were acquired as： Fe^2＋ dose 6.0 mmol/L; H2O2 dose 3000 mg/L; and reaction time 6 h. The second step biological treatment could ensure an effluent COD below 200 mg/L under an HRT of 10 h following the Fenton＇s treatment.