GA优化的湖泊富营养化评价的普适公式探讨

在适当设定富营养化指标的“本底值”情况下,当指标值用于对应“本底值”的相对值表示时,可采用S型曲线描述湖泊富营养化的发展程度,公式中的参数可视为与指标特性无关,采用遗传算法对公式参数优化,得到对多项指标均适用的富营养化程度的指数公式,并提出用广义模糊对比因子赋权新方法计算富营养化综合指数。该评价方法物理意义明确,计算简单,使用方便,具有普适性、可比性和实用性。     

Technetium: A toxic waste product of the nuclear fuel cycle: Effects on soybean growth and development

Technetium-99 (⁹⁹Tc) is formed in significant amounts (6.2% fission yield) during fission in both nuclear reactors and nuclear bombs. The effects of technetium on soybeans (Glycine max) were studied in relation to (a) cytochemical events in the apical meristems of germinating seedlings; (b) growth responses to 0, 0.04, 0.2, 1.0, 5.0, and 20.0 ppm Tc; (c) growth responses to varying levels of Tc after a prior 5-day germination on Tc-free media, and (d) response to Tc in the presence of added manganese.By 20 days, reductions in growth were evident at all levels of Tc except 0.04 ppm (Experiment 2). Root growth was most severely affected, and seedling abnormality at 20 ppm was fivefold greater than that of the controls. The effect of 20 ppm Tc was evident at 10 days when the accumulated absorption dose was approximately 25 rads. The first evidence of damage at this dose was a delay in the initiation of the first trifoliate leaf. The shoot meristem size was 1.2-fold smaller than that of the control; however, there was no cytological evidence of radiation-induced damage. Observation of mitotic figures did not reveal any chromosome aberrations, micronuclei, or chromosome bridges. The lowest level of Tc showing toxicity was 0.2 ppm which resulted in a 31% reduction in growth at 20 days. The accumulated dose was 0.5 rad (0.025 rad/day) and thus it seems unlikely that the rapid inhibition of growth and development is due to radiological toxicity. It is quite probable that the growth effects are due to chemical toxicity possibly due to nutrient competition and/or substitution in uptake or metabolism. However, extremely low doses of radiation have been shown to delay the onset of DNA synthesis (possibly by membrane effects) inTradescantia and until the actual mechanism of Tc inhibition is determined a radiation effect cannot be totally ruled out.This research was partially supported by ERDA Contract EY-76-S-02-4139     

攀枝花市城市基础设施与土地收益关联度分析

以攀枝花市为例,综合运用GIS空间分析技术和变异系数权重分析、灰色关联度等方法建立了城市基础设施与土地收益的关联度模型,定量分析城市基础设施与土地收益的关联关系,揭示两者间的关联规律和作用机理.结果表明：①城市基础与土地收益存在较大关联性;②城市基础设施与土地收益关联度在时间序列上具有明显的波动性且呈周期性变化;③城市基础设施与土地收益关联度在空间上呈分异特征.     

混凝一气浮控制三卤甲烷生成势的研究

研究了混凝一气浮工艺对不同分子量区间三卤甲烷生成势（trihalomethanes formation potential,THMFP）的去除效果及絮体形态对THMFP去除效果的影响。结果表明,混凝一气浮工艺以去除大分子量区间THMFP为主,对小分子量区间THMFP的去除效果较差。UV254值与THMFP值的线性相关系数为0．9449,UV254值可以较好地反映THMFP的含量。絮体的分形维数为1．17～1．2时,孔隙率较大,可增加絮体对THMFP的活性吸附空间,且絮体相对密度较小,可增强同向絮凝作用,增加絮体和THMFP的接触概率,有利于气浮对THMFP的去除。     

用镁合金促进兵器装备轻量化

概述了兵器装备轻量化的意义、镁合金的性能特点 ,介绍了镁合金在兵器上应用的实例 ,指出了镁合金在兵器上应用存在的问题 ,分析了镁合金在兵器上应用的前景 ,对镁合金在兵器上的应用工作提出了若干建议     

基于熵权的改进密切值法在水质综合评价的应用

将2003至2008年宁德市金涵水库水质监测值与地表水环境质量标准相结合,建立了环境样本矩阵,运用信息熵原理确定各指标的权重,并应用改进密切值法进行水质综合评价。结果表明：金涵水库从2003至2008年水质都是Ⅱ类以上,水质总体良好。该评价方法操作简便易行,结论切实可行,并可反映出各评价单元的优劣变化。     

水库热分层期沉积物中有机物特性及对好氧反硝化细菌脱氮的影响

本研究以水源水库热分层期沉积物中有机物为研究对象,在分析其相对分子质量分布和有机物荧光特性的基础上,探究了沉积物中有机物为碳源时,好氧反硝化细菌的脱氮效能、细菌生长及碳去除性能.结果表明：①水源水库在热分层期,沉积物中相对分子质量>100×10³的有机物所占比例较高;同时相比于不同月有机物的相对分子质量分布,7月时沉积物中相对分子质量大的有机物所占的比例最低（44.62%）,显示出较小的相对分子质量;②水源水库沉积物中有机物由陆地类腐殖质组分C1（250 nm,425 nm）、类色氨酸和氨基酸物质C2（230 nm/280 nm,322 nm）和传统微生物类腐殖质混合物C3（250 nm,340 nm）所组成,其中色氨酸和氨基酸类的物质（组分C2）所占比例较高,同时在7月时显示出较大的总荧光强度;③好氧反硝化过程中,5月有机物显示出较好的作为电子供体的特征,而7月的有机物却表现出较好的作为能源物质的性能,同时使得好氧反硝化细菌WGX-9显示出较高的氮去除特性;④相比于天然有机物、藻类有机物和实际水源水库水,沉积物中有机物作为碳源时可以较好地促进菌株WGX-9的好氧反硝化脱氮效能.本文阐明了水源水库热分层期沉积物中有机物特性及对好氧反硝化细菌的影响,将为微污染水体氮污染控制工程提供依据.     

基于熵权理论的室内环境评价

以室内环境的空气品质以及声、光、热环境为研究对象,根据实测数据,建立不满意百分比指标PD(predicteddissatisfied),基于熵权理论对整个室内环境进行评价。在多因素的室内环境评价过程中,该方法在以实测数据确定评价指标的相对重要程度后,根据各评价对象之间某些评价指标重要度的差异,自动调节各种差异对评价过程的影响,合理的优化了评价过程。以某小区6户人家家庭环境的物理、化学因素测试的数据进行综合评价,其结果与实际情况相吻合。说明该方法所得到的评价结果具有说服力。     

Normalized Brain Weight as a Characteristic of the Relationship between the Body and Brain Weights in Birds

The growth of many internal organs of vertebrates is isometrically related to the growth of the body. Therefore, calculation of the index of an organ makes it possible to eliminate the basic dependence of organ weight on body weight and to reveal the effects of second-order factors. The relationship between the brain and body weights is allometric in all vertebrates, from fishes to birds and mammals, including man. To make this relationship isometric, brain weight should be divided by the square root of body weight, rather than body weight proper. This parameter was previously named normalized brain weight (NBW). The advantage of using NBW instead of cerebral index has been demonstrated for 88 subarctic populations of different bird species.     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.