Using a neural network approach and time series data from an international monitoring station in the Yellow Sea for modeling marine ecosystems

The international marine ecological safety monitoring demonstration station in the Yellow Sea was developed as a collaborative project between China and Russia. It is a nonprofit technical workstation designed as a facility for marine scientific research for public welfare. By undertaking long-term monitoring of the marine environment and automatic data collection, this station will provide valuable information for marine ecological protection and disaster prevention and reduction. The results of some initial research by scientists at the research station into predictive modeling of marine ecological environments and early warning are described in this paper. Marine ecological processes are influenced by many factors including hydrological and meteorological conditions, biological factors, and human activities. Consequently, it is very difficult to incorporate all these influences and their interactions in a deterministic or analysis model. A prediction model integrating a time series prediction approach with neural network nonlinear modeling is proposed for marine ecological parameters. The model explores the natural fluctuations in marine ecological parameters by learning from the latest observed data automatically, and then predicting future values of the parameter. The model is updated in a “rolling” fashion with new observed data from the monitoring station. Prediction experiments results showed that the neural network prediction model based on time series data is effective for marine ecological prediction and can be used for the development of early warning systems.     

The temporal changes in road stormwater runoff quality and the implications to first flush control in Chongqing, China

This study investigates the quality of stormwater runoff from a driveway in the southwest mountainous urban area of Chongqing, China, from 2010 to 2011. The results showed that the mean concentrations of chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) were 4.1, 2.4, and 2.2 times the grade V levels of the national surface water standard of China. The pollutant concentration peak preceded or synchronized with the rainfall intensity peak and occurred 10 min after the runoff started. The significant high pollutant concentration in the initial stage of the rainfall suggested that first flush control is necessary, especially for the most polluted constitutes, such as total suspended solids, COD, and TN. Three potential pollution sources were identified: the atmospheric dry and wet deposition (TN, NO₃ ^?-N, NH₄ ⁺-N, and DCu), the road sediment and materials (total suspended solids, COD, and TP), and the vehicle emissions (DPb and DZn). Therefore, this study indicates that reductions in road sediments and material pollution and dry and wet deposition should be the priority factors for pollution control of road stormwater runoff in mountainous urban areas.     

地震灾区分级和灾害程度排序方法研究——以汶川8.0级地震为例

根据汶川8.0级地震震害评估工作的具体实践,探讨了地震灾区分级和灾害程度排序的方法。通过房屋震害系数、强震加速度观测记录、发震构造、地震地质灾害和场地条件、人口分布及伤亡情况等影响因素来确定受灾程度,以烈度区、统计学方法、速报灾情等来确定灾区分级。     

2008年中国大陆地震灾害损失述评

在列出2008年中国5级以上地震目录的基础上,结合有关省(自治区、直辖市)地震局的地震灾害评估资料,总结出2008年中国大陆地震灾害的主要数据和特性。最后对1990-2008年中国大陆地震灾害的相应数据进行了简要的比较分析。     

皂土对CuSO_4的吸附性能研究

研究了皂土对CuSO_4的吸附性能,考察了溶液初始pH、无机电解质NaCl、MgCl_2和AlCl_3及乙二胺四乙酸(EDTA)和柠檬酸等因素对皂土吸附量的影响。实验结果表明:皂土对CuSO_4有很强的吸附能力;其吸附动力学曲线和吸附等温线分别符合准二级反应速率方程和Langmuir方程;饱和吸附量达29.85 mg/g;随溶液初始pH增大,吸附量增大;无机电解质NaCl、MgCl_2和AlCl_3以及EDTA和柠檬酸均可以抑制CuSO_4在皂土上的吸附。     

污泥调理剂的研究进展

介绍了复合型污泥脱水调理剂的研发进展,着重讨论了不同类型污泥调理剂的复配使用方法,指出使用复合型调理剂或复配调理剂可提高污泥脱水性能,并探讨了污泥处理与处置一体化的可能性.     

酸析与超声波-超重力-臭氧氧化法联合预处理二硝基甲苯废水

将二硝基甲苯废水(简称废水)酸析后进行超声波-超重力-臭氧氧化处理,考察了酸的种类及废水pH对酸析效果的影响.实验结果表明:加入质量分数98％的H2SO4溶液调节废水pH为1.0时,酸析效果较好,酸析后废水COD去除率为38.50％,硝基化合物的去除率为45.26％,酸析析出物为一硝基甲苯磺酸;酸析后废水经超声波-超重...     

热解含油污泥制备吸附剂及热解过程的优化

为资源化利用油田含油污泥,对高含油的孤岛采油厂含油污泥进行热解处理研究,以苯酚吸附值为基准对热解工艺过程进行优化,并采用ICP-MS、元素分析仪、气相色谱质谱仪和SEM对热解油品和残渣性质进行分析;正交实验和单因素实验结果相一致,热解最佳工艺条件为:N2保护下,热解温度550℃,热解时间4 h,升温速率10℃/min,此时苯酚吸附值为29.26 mg/g。通过对热解残渣苯酚吸附值为基准进行正交实验极差分析,热解温度的影响最大,其次是热解时间,最后是加热速率。SEM结果显示,热解含油污泥制备的固体残渣具有丰富的微米孔,可将其制备成多孔固体吸附剂。初步研究结果表明,含油污泥热解处理实现了无害化和资源化目的,满足国家节能减排的战略要求和农用污泥排放标准。     

不同类型清洗剂对含聚油泥清洗效果及界面性质的影响

为解决聚驱采出液中产生的大量含聚油泥造成石油资源浪费和环境污染问题,选用化学清洗法对含聚油泥进行处理。不同类型化学清洗剂对含聚油泥清洗效果的规律是:无机型和非离子型清洗剂对含聚油泥清洗效果最好,阴离子型清洗剂次之,阳离子型清洗剂最差。优化了无机清洗剂Na2SiO3和非离子型清洗剂EL100的脱油条件,脱油率分别达到91.12%和85.59%。不同类型清洗剂清洗含聚油泥的脱油率与油水界面性质具有明显的关联性,即脱油率越高,水相电导率越小,油滴Zeta电位绝对值越小,油滴中值粒径越大,油水界面张力越小。     

微滤膜垢分形生长的过程模拟

基于微滤膜系统污垢形成机制和分形理论,建立微滤过程膜表面混合垢生长DLA模型,并通过实验验证了模型模拟的可行性和准确性。选取不同运行周期条件下微滤膜系统中的受污染膜丝,进行膜垢污染生长的实时测试,并与不同运行条件下模型的动态模拟结果进行实际比较分析,结果表明两者分形维数相近,且分形维数与膜污染程度呈正相关,说明该模型能够动态表征膜污染水平,可揭示出微滤过程中膜垢生长的动态变化规律,预测出膜材料的受污染水平。