浑河主要污染指标特征性分析

利用1995年至2010年浑河干流7个常规监测断面的历年监测数据,通过统计分析确定浑河水质的主要污染指标为氨氮、总磷（TP）、化学需氧量（COD）和生化需氧量（BOD）。并指出1995～2000年间,浑河有机污染突出,2000年以后,浑河水质氮、磷污染更为突出,有机污染有所改善。并详细分析了这四项主要污染指标的时间及水期间分布规律,为浑河流域水污染治理及编制流域规划提供技术支撑。     

The continuing conundrum of the LEA proteins

Research into late embryogenesis abundant (LEA) proteins has been ongoing for more than 20 years but, although there is a strong association of LEA proteins with abiotic stress tolerance particularly dehydration and cold stress, for most of that time, their function has been entirely obscure. After their initial discovery in plant seeds, three major groups (numbered 1, 2 and 3) of LEA proteins have been described in a range of different plants and plant tissues. Homologues of groups 1 and 3 proteins have also been found in bacteria and in certain invertebrates. In this review, we present some new data, survey the biochemistry, biophysics and bioinformatics of the LEA proteins and highlight several possible functions. These include roles as antioxidants and as membrane and protein stabilisers during water stress, either by direct interaction or by acting as molecular shields. Along with other hydrophilic proteins and compatible solutes, LEA proteins might also serve as “space fillers” to prevent cellular collapse at low water activities. This multifunctional capacity of the LEA proteins is probably attributable in part to their structural plasticity, as they are largely lacking in secondary structure in the fully hydrated state, but can become more folded during water stress and/or through association with membrane surfaces. The challenge now facing researchers investigating these enigmatic proteins is to make sense of the various in vitro defined functions in the living cell: Are the LEA proteins truly multi-talented, or are they still just misunderstood?     

基于BP神经网络的煤层自燃预测

在全面分析影响煤层自燃因素的基础上,建立了煤层自燃预测的人工神经网络模型.应用该模型对某煤田的多个煤层样本进行了训练和预测,网络经过10次训练后,误差达到设定的最小值,6次预测测试中最大误差仅为0.027 8,最小的为0.000 1.研究表明,该模型精度较高,可用于预测煤层自燃的实际应用.     

Spatial and temporal variations in groundwater nitrate at an intensive dairy farm in south-east Ireland: Insights from stable isotope data

Achievement of at least “good ecological status” in all waterbodies under the EU Water Framework Directive by 2015 will in some cases be a challenge. The twin challenge is to manage expectations of policy makers for such waterbodies as to a realistic length of time required for improvement in water quality. Hence, understanding the source, transformation processes and residence time of nitrate in a hydrological system is an essential part of meeting such challenges. On a dairy farm with 24 shallow groundwater wells, the dual isotopic composition of nitrate (δ¹⁵N and δ¹⁸O) was used to clarify nitrate sources, to assess spatial and temporal variability in nitrate concentrations and to determine if and where denitrification was occurring. Vertical travel time was estimated to correlate nitrate concentrations with management practices. Organically derived nitrogen was the predominant source contributing to groundwater nitrate concentrations. Denitrification was identified as prevalent within specific regions of the study site. The distinct low temporal variability in the isotopic data suggests constancy among nitrate sources and processes over time across the study site. Vertical travel times of up to 3 years were estimated on site indicating the influence of recent management practices on nitrate concentrations. Very slow horizontal migration of groundwater (decades) indicates a legacy of older management practices. Stable isotope techniques, together with an understanding of time lag, provide an extra mechanism to test the efficacy of monitoring and mitigation programmes.     

基于BP神经网络的上市公司CEO报酬实证研究

近年来的研究表明,CEO报酬不仅受公司业绩的影响,还受到其他诸多因素的影响,而且,CEO报酬与其决定因素之间往往存在着非线性关系。本文以2003-2005年沪深股市的A股上市公司为样本,采用BP神经网络对CEO总报酬、CEO年薪、CEO持股价值及其决定因素分别进行训练和学习,结果表明：（1）网络训练输出值与实际值的拟合度分别达到91.09%、97.23%和78.44%;（2）网络的预测能力相对于传统的线性回归模型分别提高了92.72%、92.08%和53.89%。因此,本文认为在分析和确定CEO报酬水平时引入神经网络模型是可行的。     

The water supply footprint (WSF): a strategic planning tool for sustainable regional and local water supplies

This paper introduces a new methodological approach of the ecological footprint explicitly addressing the sustainability of water supplies, which we call the water supply footprint (WSF). The WSF calculates the catchment area or water supply hinterland of a certain society and can serve as a strategic planning tool for local or regional water supplies linking the water demand with the water supply in a water supply footprint matrix. Based on regional water balances it estimates how much water can be appropriated for human use in an environmentally sustainable way.The proposed method is tested on the South East Queensland water supply in Australia, an area where water use restrictions are regularly imposed on the population. Applying the proposed method indicates that supply shortages may be avoided by considerably changing the organisation of water supply, thereby reducing and possibly even avoiding the necessity for large-scale supply side measures like additional sweet water reservoirs or desalination plants. In that way it is demonstrated that the WSF method is applicable at an early and strategic stage of water supply planning.     

供水管网水质评价方法的探讨及其应用

利用了模糊数学评价模型和综合指数评价模型分别对南方某市部分给水管网水质进行评价。评价结果分析表明,模糊数学评价法具有评价准确性好、操作简单的特点;综合指数法具有评价结果直观、精确度较高的优点。从评价结果上看,综合指数法较模糊数学评价法更为合理。     

土著微生物修复城市小型湖泊实验研究

利用生物制剂及生物修复技术对鞍山市英泽湖进行了净化治理.研究结果表明,经过8～30 d的生物净化,该湖水中的COD、植物营养元素浓度及浊度都有了大幅度的下降.其中COD降至20 mg/L以下,去除率达到70%以上;氨氮降至0.2 mg/L以下,去除率达97%;总磷降低至0.02 mg/L以下,去除率达到60%以上;浊度...     

密云水库流域2000-2005年植被覆盖度变化监测

植被是生态系统最重要的组成部分,而植被覆盖度是衡量地表植被状况的一个最重要的指标,是生态系统健康评价的前提和必要的基础。文章利用2000和2005年2个时相的Landsat 7 ETM+遥感影像为数据源,以BP神经网络法为植被覆盖度估算模型,计算了密云水库流域内不同时期的植被覆盖度,生成了该流域2个时相内的植被覆盖度图,以此分析密云水库流域植被覆盖度的时空变化。结果表明,从2000-2005年,密云水库流域内除无植被覆盖类型外(即水域部分),其余土地利用类型的植被覆盖度都呈增加趋势,其中以沙质地和耕地最为明显,分别增长了29.5%和27.3%,并且密云水库流域的平均植被覆盖度不高,尤其西部地区植被覆盖度较差,水土流失和土地沙化情况比较严重。     

工业废水中钡的排放限值研究

在查阅大量文献资料基础上,总结了环境中钡的来源和特性,采用电感耦合等离子原子发射光谱方法测定地表水及稀土废水中的钡元素含量.对仪器的工作参数和被测元素的分析谱线进行了优化和选择,结合钡的化学毒性,提出了废水中钡的标准是5mg/L的建议.