促进农村居民消费需求扩张的对策分析

通过对影响我国农村居民消费需求不足的原因分析，认为我国农村居民收入水平偏低且增长缓慢是导致需求不足的关键因素。此外商品有效供给不足、农村的消费观念、消费环境和农村居民的文化素质也在一定程度上影响了农村居民的消费需求。     

农业旱灾监测中土壤水分遥感反演研究进展

土壤水分是农业干旱监测最重要的指标之一。文章全面回顾了光学遥感和微波遥感土壤水分遥感反演进展，重点讨论了符种反演方法的优点和不足。光学遥感中，热惯量法和作物缺水指数法可分别较好地应用于裸露地和作物覆盖地的土壤水分监测；距平植被指数、植被条件指数采用了植被指数因子实现农业旱情监测，温度植被指数、植被供水指数和条件植被温度指数同时考虑了作物植被指数和地表温度。微波遥感被认为是当前土壤水分监测中最有效的方法。主动微波遥感空间分辨率较高，但对土壤粗糙度和植被敏感；被动微波遥感空间分辨率低，重访周期短，对大尺度农业旱灾监测具有较大潜力。为提高农业旱灾监测巾土壤水分遥感反演的精度和效率，采用光学遥感和微波遥感的结合可能是较为实际的方法。     

关于区域环境保护政策的思考

本文从通过分析我国环境保护政策存在的缺口和目前对这种理念的研究进展,并根据环境问题本身的特性以及环境问题产生的背景差异提出重新确立环境保护政策的调控范围的观点,并提出了这种观点对于对我国环境保护政策以及环境保护工作的重要意义。     

大型基础设施项目生态环境影响评价

研究了我国大型基础设施建设项目的生态环境影响评价问题.通过对区域形态的分析以及我国生态环境评价现状的阐述,说明现阶段我国在大型基础设施建设项目的评价存在一定的不足;同时,给出了一种切实可行的评价方法,即先建立评价指标体系,而后建立模糊综合评判模型.     

水入渗条件下边坡破坏离心模型试验研究

水的人渗能对土体强度产生较大的影响,它是造成边坡破坏的一个主要因素.不同含水量土质边坡的离心模型试验表明:边坡的破坏类型与其含水量大小有关,且主要存在两种破坏类型:一种是含水量较小时形成的拉裂缝破坏,另一种是含水量较大时形成的整体滑塌破坏;同时,含水量与边坡的最大稳定高度呈非线性关系.进一步的损伤力学分析表明,随着土体含水量的增加,损伤变量增大,并存在一个突变点;通过同离心模型试验结果比较,发现该突变点对应的含水量可作为两种破坏类型的判据.     

虚拟技术在建筑与环境设计中的应用

虚拟技术正从多方面改变着传统的建筑与环境设计方法。本文主要讨论在建筑与环 境设计领域引入虚拟技术的方法以及当前实践中的具体应用状况。     

塔里木河下游绿色走廊的生态问题与治理对策

从经济、军事和生态三个角度分析了保护塔里木河下游绿色走廊的必要性,概括了该区域的生态环境现状,即河水矿化度升高、地下水位下降从而导致植被的退化和沙漠化加剧的问题。最后提出了以水资源合理利用为前提和中心的治理对策。     

辽河三角洲土壤中石油类含量光谱分析初探

石油类物质对土壤的污染在油田区域内是一个普遍存在的问题。全面了解土壤中石油类物质含量是评价土壤石油污染的前提条件。对土壤石油污染评价的传统方法是在野外实地进行大量土壤采样,然后在试验室内分析石油类物质的含量。文中提出了利用少量野外土壤石油类物质样品,并结合野外光谱测量的方法对土壤中石油类物质进行分析的新方法。该方法应用于辽河三角洲,具有快速、省钱、省时、省力的特点,能对土壤中石油类物质含量进行宏观分析。满足了油田开发对土壤及环境污染评价的需要,并能为制定油田开发管理保护对策提供辅助信息。     

NUTRIENT CONCENTRATION CRITERIA AND CHARACTERIZATION OF PATTERNS IN TROPHIC STATE FOR RIVERS IN HETEROGENEOUS LANDSCAPES1

ABSTRACT: A method is demonstrated for the development of nutrient concentration criteria and large scale assessment of trophic state in environmentally heterogeneous landscapes. The method uses the River Environment Classification (REC) as a spatial framework to partition rivers according to differences in processes that control the accrual and loss of algae biomass. The method is then applied to gravel bed rivers with natural flow regimes that drain hilly watersheds in New Zealand's South Island. An existing model is used to characterize trophic state (in terms of chlorophyll a as a measure of maximum biomass) using nutrient concentration, which controls the rate of biomass accrual, and flood frequency, which controls biomass loss. Variation in flood frequency was partitioned into three classes, and flow data measured at 68 sites was used to show that the classes differ with respect to flood frequency. Variation in nutrient concentration was partitioned at smaller spatial scales by subdivision of higher level classes into seven classes. The median of flood frequency in each of the three higher level classes was used as a control variable in the model to provide spatially explicit nutrient concentration criteria by setting maximum chlorophyll a to reflect a desired trophic state. The median of mean monthly soluble reactive phosphorus and soluble inorganic nitrogen measured at 68 water quality monitoring sites were then used to characterize the trophic state of each of the seven lower level classes. The method models biomass and therefore allows variation in this response variable to provide options for trophic state and the associated nutrient concentrations to achieve these. Thus it is less deterministic than using reference site water quality. The choice from among these options is a sociopolitical decision, which reflects the management objectives rather than purely technical considerations.     

MODELING THE IMPACT OF MULTICOMPONENT VOCs ON GROUND WATER USING THE STEFAN‐MAXWELL EQUATION1

ABSTRACT: Computer programs that model the fate and transport of organic contaminants through porous media typically use Fick's first law to calculate vapor phase diffusion. Fick's first law, however, is limited to the case of a single, dilute species diffusing into a stagnant, high concentration, bulk vapor phase. When dealing with more than one diffusing species and at higher concentrations, the multicomponent coupling effects on vapor phase diffusion and advection of the various constituents become significant. VLEACH, a one‐dimensional finite difference model developed for the U.S. Environmental Protection Agency (USEPA), is typical of the models using Fick's first law to model vapor‐phase diffusion. The VLEACH model was modified to accommodate up to 10 components and to calculate the binary diffusion coefficients for each of the components based on molecular weight, molecular volume, temperature and pressure, and to address the coupling effects on multiple component vapor phase diffusion and its impact on ground water. The resulting model was renamed MC‐CHEMSOIL. At low vapor phase concentrations, MC‐CHEMSOIL predicts identical ground water impacts (dissolved phase loading) to those from VLEACH 2.2a. At higher vapor phase concentrations, however, the relative difference between the models exceeded 20 percent.