特定生态系统对水源地水质改善的研究

通过构建水生动物-人工介质新型生态系统来研究太湖水源地水质改善效果.中试试验结果表明,对比3d和7d的水力停留时间(HRT),当HRT:7d,系统对TN、NO2--N、NO3--N、TP、PO4--P的平均去除率可分别达到79.00%、63.46%、14.57%、67.43%、35.81%;对比空白池,TN、NO2--N、NO3--N、TP、PO4--P的平均去除率仅为9.67%、7.09%、1.30%、9.92%、7.04%.通过该系统中水生动物的吸收和人工介质上微生物降解的协同作用,使得氮磷类污染物的去除效果明显.可见,水生动物-人工介质生态系统对改善太湖水源地水质有良好的效果,对构建安全的水源地生态系统具有积极的意义.     

青藏高原生态资产地域划分中的SOFM网络技术

针对目前地域划分中存在的问题,论文尝试以人工神经网络技术作为区划工作的理论支撑,构建了自组织特征映射SOFM网络,以青藏高原环境与生态系统资产作为待分客体,探索了新技术和方法在生态资产地域划分中的应用。结果表明,对于自然界中广泛存在的非线性问题,SOFM网络具有比聚类分析等线性分类器更强的适应性。应用SOFM网络在对待分客体生态资产进行类型划分的基础上,使用策略性循环尺度转换(SCS)范式对其进行了区域转换,最终完成了青藏高原范围内生态资产的地域划分。     

An evaluation of quality assurance to monitor acidprecipitation by using ion balancein Guizhou, China

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MAP法处理氨氮废水最佳条件的研究

MAP法是一种比较新颖有效的处理氨氮的方法，该方法是通过化学沉淀的方式使废水中的氨氢浓度降到很低。而且沉淀反应不受温度、水中毒素的限制。由单项试验以及正交实验的方法对MAP法处理氨氮废水的工艺进行优化研究，结果表明，在pH=8.5，反应时间为3h,Mg:N:P=1:3:1.0:1.1时为较佳反应条件；氨氮的去除率随着反应时间的增加而增加，随着Mg:N比值的增加而增加。     

人工神经元网络对水处理系统建模适应性的研究

针对水处理系统的特点和研究中的难点，引入人工神经元网络的理论和思想，提出了水处理系统的神经网络分析方法．通过建立基于ＢＰ人工神经元网络的臭氧生物活性炭系统的模型，具体地考察了人工神经元网络对水处理系统建模的适应性，使水处理系统的研究迈向智能化和控制化．     

GIS支持下的水文生态效应评价混合型专家系统设计初探

文章从人工神经网络(ANN)、专家系统(ES)各自的优势和不足出发，结合地理信息系统(GIS)技术的特点，介绍了水文生态效应评价的混合型专家系统(HEMES)的基本结构模式和各模块的功能。然后抓住ANN、ES、GIS的共同作用因子一专家知识，从数据库结构、C 类方面探讨了三者集成的问题，并根据集成的思想探讨了相关功能设计。指出HEMES是一种更准确、易操作的评价技术，可作为相关管理、决策者的辅助工具。     

钢筋混凝土框架电算结果的人工调整

根据钢筋混凝土多层框架的设计经验和设计规范，对如何调整电算结果中的梁，柱截面尺寸，配筋率，裂缝宽度和梁，柱配筋等问题进行探讨，并提出相应的建议。     

酸性高浓度含氟废水处理技术

介绍了对某化工厂排放的酸性高浓度含氟废水进行处理的试验，采用石灰中和沉淀，氯化钙（或聚丙烯酰胺）二级絮凝沉淀，砂滤工艺进行处理，操作控制条件如下：pH为8－9，Ca^2 与F^-的摩尔比为3．0，聚丙烯酰胺投加量为2mg/L，沉淀时间为1h，处理工程运行后的验收监测结果表明，出水中的残氟浓度可以达到国家规定的一级排放标准，且系统运行稳定，工艺简便。     

Chemical Composition and Acidity of Rain at the Gulf of Iskenderun,North-East Mediterranean

The purpose of the present work was to investigate the chemistry of rain in the Gulf of Iskenderun, North East Mediterranean, Turkey. The Gulf region has a large number of industries. Main industries existing in the region are iron and steel works, fertilizer plants, a cement plant, and several medium and mini size steel mills in addition to the international pipe line terminals. This study aims to apportion the local sources contributing to the overall pollution of the region. To this end a precipitation sampling program was started in January 2000, and over 48 precipitation samples were collected from each of 5 stations located at Iskenderun city center, Iskenderun industrial zone, Payas city center, the campus of Iskenderun Technical College and the campus of Mustafa Kemal University. Samples were analysed for pH, NO₃ ⁺, Cl^-. Ca, Al, Ba, Na, Cd, Co, Cr, Cu, Pb, Li, Mg, Mn, Ni, Zn, Fe, K. Concentrations of metal ions were determined by ICP-AES. NO₃ ^- ions and pH were determined by using NO₃ ^- selective electrode and pH meter, respectively.pH values of the collected samples at the industrial zone and at Payas city center, ranged between 5.02 and 7.38, respectively. NO₃ ^- and metal ions concentrations were highly variable. Concentrations of Ca and Fe ions were higher in the industrial zone and Payas city center. In the other three stations, concentrations of metal ions and NO₃ ^- ion were lower than that of industrial zone and the values of pH ranged between 6 and 7.4. The average pH values at Iskenderun Gulf showed that the precipitation was not acidic, because of the high concentration of Ca. The highest concentrations of Na and Cl ions were recorded in the University campus because the campus is located by the Mediterranean Sea.     

VARIATION FEATURES OF PRECIPITATION IN GUANGXI

VariationfeaturesofprecipitationinGuangxiUnevendistributionofprecipitationinareas　ByreasonofcomplexlandforminGuangxi,theprecipitationvariesindifferentregionsandisgenerallyabundantinthesouthandthenorth,littleinthemiddleregion;abundantintheeastandlittleinthewest;abundantinhillyareasandlittleintherivervalleysandbasins;abundantinwindwardslopesandlittleinleewardslopes;abundantincoastlandandlittleinis lands.Therearemainly 4 pluvialregionsand 2littlerainfallregions.The 4pluvialregionswithprecipitat…