水霉科真菌在北京地区不同污染水体中的分布和数量变化

对北京地区水霉科真菌在不同污染水体中分布和数量变化的调查研究表明,水霉科游动孢子在水体中的数量随水体污染程度的变化而不同:一般在净水中较少,在轻度污染至中度污染的水体中明显增多,污染加重时逐渐下降,在重污染区明显减少,在近于毒污染的水体中则几乎绝迹.可见水霉科真菌在不同污染水体中的分布和数量变化具有一定的规律性,将其用作对水体进行综合评价的一项生物指标的可行性值得进一步研究.     

均质滤料过滤截污模型研究

对均质滤料过滤进行了分析，采用毛细管模型研究过滤水流，给出毛细管中剪切应力的分布，通过毛细管中颗粒物的受力分析，求得颗粒与毛细管壁间的物理化学作用力。对颗粒在毛细管在毛细管中运动的受力平衡进行分析简化，得到了截污饮和时滤床中孔隙率的计算公式，由此可以计算出均质滤床的最大截污能力，即：清洁滤床的孔隙率与孢和孔隙率之差乘以滤床的体积。     

不同地域天然伊利石表面酸碱特性的比较

利用电位滴定技术和恒定容量表面络合模式表征不同来源天然伊利石的表面酸碱性质。鉴于固体基质在酸量滴定过程中发生溶解，相应的滴定上清液被视为体系空白。考虑到水解铝、硅酸和伊利石表面活性位之间的表面络合或沉淀反应，提出两种表面质子反应模型。对其中的特例，还考虑了表面离子交换反应。模拟程序的拟合结果显示两种模型对水解伊利石体系的滴定行为均可获得满意的描述。相的的表面固有酸度常数表明样品的酸碱性质之间存在一些共性。     

中国华北地区冬季大气污染物航空测量(Ⅰ)——空中气态污染物污染特征研究

为掌握致酸大气污染物ＳＯ２ 和ＮＯｘ 的空间浓度分布，并探讨上述污染物扩散、迁移和传输规律，进而研究其在酸性降水形成过程中的作用，在“八五”期间酸性降水的研究中，针对中国华北地区城市和工业集中以及ＳＯ２ 和ＮＯｘ 等酸性大气污染物排放量大的特点，以石家庄及其以东地区为飞行区域，进行了华北地区冬季空中ＳＯ２ 和ＮＯｘ 污染特征的航空测量。通过测定发现在华北地区１－５ ｋｍ 左右的空中存在着ＳＯ２ 和ＮＯｘ 高浓度污染空域，同时ＳＯ２ 存在着高浓度汇集区     

中国能源的现状

研究中国能源的现状，其中主要包括能源储量和能源生产以煤为主；石油和天然气在能源构成中的比例低下；煤炭储量可观，但品质不高；能源生产增长迅速；能源短缺。尤其是清洁能源短缺，清洁能源危机将会长期存在。我国如此的能源现状已造成大气环境煤烟型严重污染。我国从石油输出国已变成石油进口国，我国半个多世纪以来实施的“能源自给政策”急需调整。采用洁净煤技术开发利用清洁能源，确保经济在持续迅速发展的同时，我国大气环境免遭污染，即经济发展和大气环境保护双赢。     

203HgCl2在紫贻贝(Mytilus cdulis)体内的累积和结合以及锌对其影响的实验研究

本文研究了紫贻贝（Mytilus edulis）对无机汞²⁰³HgCl₂的累积和结合.实验结果表明:紫贻贝累积汞速度很快,能力很强.用Sephadex G75凝胶层析表明:所有的²⁰³Hg几乎都以生物大分子存在（M.W.>1000）.其中大部分²⁰³Hg的分子量大于50000,小部分分子量在1000—50000之间.本文还讨论了汞的累积机制,并研究了Zn²⁺对于²⁰³Hg累积的影响.     

乙酸型顶极群落的内平衡与反馈调节机制研究

通过产酸脱硫反应器处理高浓度硫酸盐有机废水的连续流试验，从“动态”角度考察COD／SO4^2-比改变引起的pH值、氧化还原电位（ORP）、碱度（ALK）和末端产物（VFAs）等的变动及生态因子的叠加效应引发的优势种群变迁，分析了乙酸型顶极群落的稳定性及其发生定向性生态演替的规律，进而阐明了乙酸型顶极群落抵抗环境压力的内平衡与反馈调节机制，并指出乙酸型代谢和乙酸型顶极群落是产酸脱硫生态系统的典型特征。     

灰色系统GM（1，1）与多元回归分析耦合用于拉萨市大气NO2的预测

根据拉萨市（1992—1998年）NO2、全市工业总产值和平均车流量的历史资料，用灰色系统GM（1-1）与多元回归分析模型耦合预测拉萨市大气中NO2的浓度。结果表明，到2010年拉萨市大气中NO2浓度将是1992年的6．3倍，大气中NO2浓度呈上升趋势。预测值表明，这种预测方法是可行的，可为政府管理和制定规划提供科学依据。     

Rapid prediction of disinfection by-product formation potential by fluorescence

Recent drinking water regulations have lowered the disinfection by-product standards as well as added new disinfection by-products for regulation. Natural organic matter (NOM) plays a major role in the formation of undesirable organic by-products following disinfection/oxidation of drinking water. It is suspected that most precursors to disinfection by-products are humic, although nonhumic substances are also suspected of contributing to these by-products. Many of the disinfection by-products have adverse health effects in humans (i.e., carcinogenic or mutagenic effects). The primary chlorinated disinfection by-products of concern include trihalomethanes, haloacetic acids, and haloacetonitrile. Fluorescence spectroscopy was used to study humic and fulvic acids. The two fractions of humic substances, humic and fulvic acids, were characterized by a double-peak phenomena in an overlapping fluorescing region. Disinfection by-product formation potentials of humic and fulvic acids have been correlated with total organic carbon, UV absorbance at 254 nm, specific absorbance and fluorescence. River humic and fulvic acid was found to have the highest reactivity to disinfection by-product formation as compared to soil and peat humic and fulvic acid. Fluorescence spectroscopy has shown to be a rapid and predictive tool for disinfection by-products formation potential of humic and fulvic acids.     

Land use as a mitigation strategy for the water-quality impacts of global warming: a scenario analysis on two watersheds in the Ohio River Basin

This study uses an integrative approach to study the water-quality impacts of future global climate and land-use changes. In this study, changing land-use types was used as a mitigation strategy to reduce the adverse impacts of global climate change on water resources. The climate scenarios were based on projections made by the Intergovernmental Panel on Climate Change (IPCC) and the United Kingdom Hadley Centre's climate model (HadCM2). The Thornthwaite water-balance model was coupled with a land-use model (L-THIA) to investigate the hydrologic effects of future climate and land-use changes in the Ohio River Basin. The land-use model is based on the Soil Conservation Service's curve-number method. It uses the curve number, an index of land use and soil type, to calculate runoff volume and depth. The ArcView programming language, Avenue, was used to integrate the two models into a geographic information system (GIS). An output of the water-balance model, daily precipitation values adjusted for potential evapotranspiration, served as one of the inputs into the land-use model. Two watersheds were used in the present study: one containing the city of Cincinnati on the main stem of the Ohio River, and one containing the city of Columbus on a tributary of the Ohio River. These cities represent two major metropolitan areas in the Ohio River Basin with different land uses experiencing different rates of population growth. The projected hypothetical land-use changes were based on linear extrapolations of current population data. Results of the analyses indicate that conversion from agricultural land use to low-density residential land use may decrease the amount of surface runoff. The land-use practices which generate the least amount of runoff are forest, low-density residential, and agriculture; whereas high-density residential and commercial land-use types produce the highest runoff. The hydrologic soil type present was also an important factor in determining the amount of runoff and non-point-source pollution. A runoff-depth matrix and total nitrogen matrix were created for Cincinnati and Columbus to describe possible land-use mitigation measures in response to global climate change. The differences in Cincinnati and Columbus were due to differences in geographic location, air temperature, and total runoff. The results of this study may be useful to planners and policy makers for defining the possible impacts of future global climate and land-use changes on water resources.