城市总体规划环评指标体系的建立及其应用

本研究首先介绍了DPSIR模型构建的原理,接着以合肥市为对象,从驱动力、压力、状态、影响、响应5个方面来构建的共36个指标,并采用层次分析法对指标权重的确定和多级灰色关联分析对指标进行综合评价,得出评价结果。合肥市在2004~2005年处于较低可持续发展水平(0.3398、0.3876)、在2010年处于中等可持续发展水平(0.5369)、在2015年处于较高可持续发展水平(0.6016)、在2020年处于较高可持续发展水平(0.7847),该预测评价结果与合肥市城市可持续发展趋势相符。最后采用改进熵值法验证多级灰色关联综合分析结论,计算得出的结果表明,该两种方法评价结论基本相同。因此,本研究对城市总体规划环境影响评价的评价方法的建立与完善,有着较强的实践意义和参考价值。     

建设项目竣工环保验收中公众参与的探讨

建设项目竣工环境保护验收是我国环境保护管理的重要手段。阐述了建设项目竣工环境保护验收中公众参与的法律和制度基础,竣工环保验收中公众参与不仅能维护公众的环境权益,为竣工环保验收“三同时”制度的执行提供可靠依据,还可以推动环保行政主管部门决策的民主化、科学化。研究了竣工环保验收中公众意见调查的现状及存在的问题,提出加强和规范建设项目竣工环保验收公众参与的建议。     

电磁阀贮存寿命加速试验技术研究

首先陈述了贮存寿命加速试验的基本原理,介绍电磁阀的结构组成,分析了失效模式和失效机理后,采取恒定应力加速试验方法,然后运用极大似然估计和最小二乘法对数据进行处理,最后得出其贮存寿命等结论。     

事故状态下污染物排放对水环境影响的预测研究

对辽河油田欢喜岭采油厂在事故状态下污染物排放对大凌河水域环境的影响进行预测研究。计算了洪水淹没、油罐冒顶泄漏、油井井喷泄漏、联合站泄漏、管道泄漏、暴雨径流带走落地油等16种情景下对该河流水质的影响情况,并建立数学模型,进行情景模拟。研究结果表明,事故状态下对大凌河水质影响的次序由大到小依次为:洪水淹没、油罐冒顶泄漏、油井井喷泄漏、联合站泄漏、管道泄漏、暴雨径流。     

北京入境旅游流西向扩散与省域经济联系研究——以西部三大典型区为例

北京是我国经济、政治和文化中心,也是我国最重要的入境口岸之一。入京旅游流西向的扩散转移对省域之间旅游经济联系强度具有极大的直接促进作用,转移态是反映旅游流流向和流量的重要指标。在对我国西部三大典型旅游区界定的基础上,利用转移态指数模型和旅游经济联系强度模型对入京旅游流向西转移态及其与西部三大典型旅游区的经济联系强度进行了相关性分析,得出入京旅游流西向转移态对西部典型区经济的影响程度为:成渝泛西安云贵,在此基础上分析了原因,并对西部三大典型旅游区如何更好地吸引北京入境旅游"二手客源",以促进旅游业更快发展提出了相应对策与建议。     

水资源生态足迹分析——以安康市为例

根据生态足迹分析方法,建立了水资源生态足迹概念模型,确定了计算水资源帐户生态足迹所需的3个关键参数,即平均水资源产量、均衡因子和地区产量因子,计算了安康市1996—2007年水资源生态足迹和生态承载力。引入水资源生态足迹压力指数、万元GDP水资源生态足迹、累积水资源生态足迹等指标,利用水足迹模型评价水资源可持续发展程度的全面性和对比性。结果表明,计算结果可客观评价安康市水资源可持续发展与利用情况,为地区水资源的可持续利用与管理提供了科学的依据。     

输美轮胎特保案对中国贸易的影响及对策

分析了2009年9月26日美国对中国轮胎进口实施的特别保护措施,运用国际贸易和国际经济学的相关理论,对美国轮胎特保法案进行了剖析。在目前中美轮胎贸易情况下,从宏观和微观的角度探讨了轮胎贸易顺差形成的原因,以及长期和短期内对中国经济的影响,并对中国轮胎出口贸易提出了几点政策建议。     

Combining a finite mixture distribution model with indicator kriging to delineate and map the spatial patterns of soil heavy metal pollution in Chunghua County, central Taiwan

This study identifies the natural background, anthropogenic background and distribution of contamination caused by heavy metal pollutants in soil in Chunghua County of central Taiwan by using a finite mixture distribution model (FMDM). The probabilities of contaminated area distribution are mapped using single-variable indicator kriging and multiple-variable indicator kriging (MVIK) with the FMDM cut-off values and regulation thresholds for heavy metals. FMDM results indicate that Cr, Cu, Ni and Zn can be individually fitted by a mixture model representing the background and contamination distributions of the four metals in soil. The FMDM cut-off values for contamination caused by the metals are close to the regulation thresholds, except for the cut-off value of Zn. The receiver operating characteristic (ROC) curve validates that indicator kriging and MVIK with FMDM cut-off values can reliably delineate heavy metals contamination, particularly for areas lacking background information and high heavy metal concentrations in soil.     

Emissions of biogenic VOC from forest ecosystems in central Europe: Estimation and comparison with anthropogenic emission inventory

This paper describes a method of estimating emission fluxes of biogenic volatile organic compounds (BVOCs) based on the approach proposed by Guenther et al. (1995) and the high-resolution Corine land-cover 2000 database (1 × 1 km resolution). The computed emission fluxes for the Czech Republic (selected for analysis as being representative of a heavily cultivated, central European country) are compared with anthropogenic emissions, both for the entire country and for individual administrative regions. In some regions, BVOC emissions are as high as anthropogenic emissions; however, in most regions the BVOC emissions are approximately 50% of the anthropogenic emissions. The yearly course of BVOC emissions (represented by monoterpenes and isoprene) is presented, along with the spatial distribution of annual mean values. Differences in emission distributions during winter (January) and summer (June) are also considered.     

Analysis of a Farquhar-von Caemmerer-Berry leaf-level photosynthetic rate model for Populus tremuloides in the context of modeling and measurement limitations

The balance of mechanistic detail with mathematical simplicity contributes to the broad use of the Farquhar, von Caemmerer and Berry (FvCB) photosynthetic rate model. Here the FvCB model was coupled with a stomatal conductance model to form an [A,g_s] model, and parameterized for mature Populus tremuloides leaves under varying CO₂ and temperature levels. Data were selected to be within typical forest light, CO₂ and temperature ranges, reducing artifacts associated with data collected at extreme values. The error between model-predicted photosynthetic rate (A) and A data was measured in three ways and found to be up to three times greater for each of two independent data sets than for a base-line evaluation using parameterization data. The evaluation methods used here apply to comparisons of model validation results among data sets varying in number and distribution of data, as well as to performance comparisons of [A,g_s] models differing in internal-process components.