塔式起重机安全评判专家系统的研制

塔式起重机作为建筑施工的主要设备,在建筑等行业发挥着极其重要的作用,因而其安全问题受到各国有关部门的高度重视,但塔式起重机的事故率近年来仍未见下降,其安全问题仍然是建筑施工中的忧患之一。为此,笔者在建造了塔式起重机安全的依赖关系图的基础上,采用基于现代设计方法学的专家系统构造技术,使用ＶＩＳＵＡＬＣ＋ ＋ 开发了塔式起重机安全评判专家系统ＴＱＥＳ。该系统经全部测试通过,可对一般的塔式起重机进行安全评判     

城乡结合解决府南河水质与水量问题的建议

本文通过对成都市府南河及都江堰灌溉系统的水资源利用现状分析,结合我国有关环保法规、水污染防治对策及工程实例,提出了城乡结合,把府南河建设成为既是城市水景又是农灌水库的建议,为解决成都市府南河水质污染与水量不足问题提出了一条新的途径。     

室内空气中污染物的检测技术

室内环境空气污染对人体健康影响很大,文中指出了影响人体健康的致病因子,分析了单个微粒的光通量和粒径之间的关系。鉴于单下颗粒的散射光信号很弱,本文提出一种方法,把激光器的内腔作为颗粒注入区,利用激光器的内腔功率谱密度远大于腔外功率密度的特点,结合先进的激光散控制理论,对空气中的颗粒进行检测。     

论湘中城市群经济的融合耦动与可持续发展

本文以湘中（长株潭）城市群作为研究对象,概述了湘中城市群经济融合的总体特征,对其城市群空间生长演化过程中存在的问题和应采取的对策,经济如何实现可持续发展进行了探讨。     

森林可持续经营基本任务与实现途径

本文以区域可持续发展理论为指导,通过森林可持续经营内涵、目标的分析,提出了用于指导区域森林可持续经营研究与实践的基本思路和途径     

武汉地区防汛抗洪中存在的几个主要问题与对策

简述了１９９８年武汉市防汛抗洪中存在的几个主要问题,并提出了相应的对策与建议．     

PeLM: modeling of pesticide-losses through runoff and sediment transport

A GIS-aided pesticide loss model (PeLM) was developed to simulate pesticide losses through surface runoff and sediment transport in watershed systems. The PeLM could tackle the movement of eroded soil along with surface runoff as well as the pesticide losses in adsorbed and dissolved phases. The contributions of different soil types in the sediment were also examined. The model was applied to the Kintore Creek Watershed of southern Ontario, Canada. The simulation results were verified through observed data, indicating a correlation level of 0.89-0.98. The results also showed that clay particles usually held the largest share of contributions to pesticide losses through soil erosion. This study is significant in the efforts for modeling nonpoint source pollution in watershed systems. It provides useful information and support for the related decisions of watershed management.     

The role of condensed organic matter in the nonlinear sorption of hydrophobic organic contaminants by a peat and sediments

This study examines the effect of soil organic matter heterogeneity on equilibrium sorption and desorption of phenanthrene, naphthalene, 1,3,5-trichlorobenzene (1,3,5-TCB), and 1,2-dichlorobenzene (1,2-DCB) by soils and sediments. Two estuary sediments, a Pahokee peat (PP; Euic, hyperthermic Lithic Haplosaprist), and two subsamples (base- and acid-treated peat [TP] and acid-treated peat [FP]) of the peat were used as the sorbents. The contents of black carbon particles were quantified with a chemical extraction method. Petrographical examinations revealed the presence of the condensed soil and sediment organic matter (SOM) in Pahokee peat. The Freundlich isotherm model in two different forms was used to fit both sorption and desorption data. The results show that the sorption and desorption isotherms are generally nonlinear and that the apparent sorption-desorption hysteresis is present for phenanthrene and TCB. Detailed analysis of sorption data for the tested sorbent-sorbate systems indicates that black carbon is probably responsible for sorption isotherm nonlinearity for the two sediments, whereas the humic substances and kerogen may play the dominant role in nonlinear sorption by the peat. This investigation suggests that the microporosity of SOM is important for the hydrophobic organic contaminant (HOC) sorption capacity on the peat.     

略论清代自然资源的保护与利用

清代在水土资源、林木资源、矿产资源的保护与利用等方面采取了积极有效的措施，包括开垦土地、兴修水利、发展生态农业、植树造林、加强法制、设立环保机构等。     

A DYNAMIC MODEL FOR WATER AND RELATED LAND RESOURCE PLANNING1

ABSTRACT. Planning an optimal system of activities for generating economic goods and services within an existing natural resource capacity is a difficult problem to solve. A mathematical programming model with the capacity to check multiple resource demand and supply compatibility over many time periods was developed for the solution to this type of problem. The characteristics of natural resource supply and the demand of activities were utilized to reduce the number of time periods and to minimize the loss of the dynamic reality of the problem. Reduction in the number of time periods extended the capability of the model to the solution of complex resource planning problems without oversimplification.