THE USE OF BIOLOGICAL CRITERIA IN ENVIRONMENTAL POLICY1

ABSTRACT: The hypothesis of this paper is that regulatory systems for the control of effluent released to the environment can be, if improperly designed, inadequate for both the establishment of effective pollution control policy and the assessment of the biological significance of violations. This inadequacy may stem from several factors: first, the use of single point standards which delineate the boundary between legally acceptable and unacceptable pollutant discharges; and second, the existence of significant weaknesses in the frequency and design of monitoring programs. In order to be effective, pollution standards must reflect the impact of pollutants on the ecosystem. To achieve this goal, three critical pieces of information are required: measurement of ambient levels of released pollutants, frequency distributions derived from these data, and estimates of biological damage functions. Illustrating the above three requirements with data drawn from research in British Columbia, the authors recommended a restructuring of environmental policy to provide regulatory agencies with an effective mechanism for the analysis and control of environmental degradation.     

景观生态学在国土空间治理中的应用

鉴于当前国土空间治理面临复杂的人类活动与自然环境相互作用而产生的生态风险与空间利用问题,基于景观生态学学科特质与生态文明建设要求,对当前国土空间治理工作进行梳理,归纳了明确的生态系统服务定位、高效的建成空间结构、适宜且多样的产业发展支撑、多等级的生态系统服务与安全保障等国土空间治理需求。同时,整合区域时空信息的理论基础与分析手段,提出景观生态学在国土空间治理中应落脚于：（1）识别并统一不同空间尺度的治理单元;（2）辨析并评估景观功能的空间分异;（3）构建基于生态风险防范的区域景观格局; （4）识别集约高效的城乡协调发展格局;（5）提出尺度联系的绿色发展架构;（6）明晰多级多样的生态保障方案。     

城市边缘湿地的休闲旅游功能

城市边缘湿地是城市的生态屏障，是城市可持续发展的自然基础，具有一定的经济功能和巨大的生态、社会服务功能，休闲与旅游是其中的组成部分之一，但是由于城市边缘湿地本身存在生态脆弱性，加上受城市化、工业化影响，其休闲与旅游功能不断退化，为实现城市边缘湿地旅游资源可持续利用的目的，应当采取相应的治理措施。     

基于CES生产函数的企业安全投资决策方法研究

在分析当前我国安全投资决策研究基础上,讨论安全投资的边际效益理论,并利用其确定安全投资总量的合理值。利用不变替代弹性(CES)生产函数建立安全投入产出效益函数,反映安全投资结构对安全产出的影响,通过模型求解得到企业安全资源分配的优化结构和投资额。按边际效益理论和安全投资效益模型将有限的资源科学地配置到安全生产过程中去,有利于节约资本,实现安全效益最大化。     

基于自然正交展开的神经网络长期预报模型

对月降水量的前期500hPa高度场、海温场相关预报因子进行E0F展开，并取其中与预报量相关程度较高的主成分，结合人工神经网络技术，建立了一种新的短期气候预测模型。将这种新的预报模型与同样根据这些预报因子建立的回归预报模型进行了对比分析。结果表明，这种新的短期气候预测模型由于集中了众多预报因子的预报信息，并有效地利用了神经网络方法的非线性映射能力，因此比传统预报方法的预报精度显著提高，并且稳定性好，具有很好的应用前景。     

A meta-analysis of wetland contingent valuation studies

There is growing interest in the potential for producing generally applicable models for valuing non-market environmental services which do not rely upon expensive and time-consuming survey work, but rather extrapolate results from previous studies. This paper presents a meta-analysis for the use and non-use values generated by wetlands across North America and Europe. The study assesses the socio-economic values attributable to the hydrological, biogeochemical and ecological functions provided by such complex environmental assets. The clustering of multiple values derived from single studies is examined through the application of multilevel modelling methods allowing for the hierarchical structure of such data. Received: 24 February 1999 · Accepted: 6 June 1999     

基于文本文件的可拓数据挖掘方法研究

本文介绍了可拓学理论与可拓数据挖掘技术的基本概念与基本方法,并将可拓数据挖掘技术用于“5·12”汶川地震空间电离层电场文本数据文件的处理.利用自行开发的数据挖掘软件进行数据分类,在震前10天数据中,得到了2个关联度异常文件,并计算了挖掘知识的支持度与可信度.     

大叶碎米荠的开发与利用

我国野菜资源十分丰富,野菜大多具有较高的营养保健作用,开发潜力大,市场前景十分广阔。大叶碎米荠在民间食用较多,但其开发利用还未引起人们的重视。主要介绍了大叶碎米荠的营养价值、药用价值及其开发利用方式。     

The effect of calcium and pH on nickel accumulation in and rhizotoxicity to pea (Pisum sativum L.) root-empirical relationships and modeling

The accumulation and rhizotoxicity of Ni to pea were investigated. Calcium, H, and Ni competed for root-binding sites with high pH and low Ca favoring more Ni accumulation. At low pH, Ca accumulation is the key factor determining root growth, while at medium to high pH, root elongation is more sensitive to Ni concentration. The tissue concentration of Ni and Ca ([Ni]t or [Ca]t, μmol g⁻¹ dry root) can be predicted from total dissolved Ni ([Ni]_T, μM), pH, and total dissolved Ca ([Ca]_T, mM) by two approaches. Approach 1 is the empirical equations [Ni]t = (0.361 pH-0.695[Ca]_T)*[Ni]_T and [Ca]t = 8.29 pH + 10.8 [Ca]_T. The second approach involves a two-step model. The surface-bound Ni and Ca are estimated from a surface adsorption model with binding constants derived from independent ion adsorption experiments. Then transfer functions are used to predict internal root Ni and Ca accumulation.