有意违章行为动因分析与控制对策探讨

对有意违章行为的含义进行了界定 ,并对有意违章行为产生的动因进行了详细分析 ,提出了有意违章行为的动因主要包含违章行为与遵章行为满足生理心理需要作用的差值ΔXW、违章行为会受到法规惩处的作用FW、违章行为可导致人身伤害的主观感觉的作用RW3个方面。同时对 3个方面的动因按弗鲁姆的激励理论进行了转化 ,给出了各自的含义说明。笔者按动因分析的结果 ,给出了控制有意违章行为的步骤和措施     

玄武湖沉积物中磷的形态分布特征

利用分级提取法分析了玄武湖的沉积磷形态,在玄武湖沉积物中,铝结合态磷的含量较低,平均值为64 mg/kg,其余形态磷中,铁结合态磷为241 mg/kg,有机磷为335 mg/kg,钙结合态磷为394 mg/kg.在环境变化的条件下,铁结合态磷可以释放到间隙水和上层水体中,是湖泊产生富营养化的重要因素;铝结合态磷由于含量少,对湖泊富营养化影响很小;钙结合态磷相对稳定且很难被生物利用,对湖泊富营养化影响不大;有机磷对水体有机负荷影响较大,并影响水体富营养化程度.     

关于环评中的景观影响评价问题

环境影响评价制度对控制环境污染和防止生态破坏取得明显的成效。随着社会的进步和人们对环境质量的高要求,景观环境影响评价已成为旅游资源、森林资源、矿产资源开发以及交通运输等建设项目环境影响报告书中的重要内容。但由于目前尚缺乏评价规范和评价标准,在开展景观影响评价中存在着不少的困难,评价标准和评价等级的缺乏,使评价的深度和广度以及景观污染的界定上难以满足评价结果的要求;评价方法的不确定,又使评价过程难以统一,难以预测项目建设对景观的影响程度,而人才的缺乏则是困扰持证单位的主要问题。所以目前急切需要解决问题的办法是尽快制定景观评价的标准和规范,研究评价的方法,以加速人才的培养,使景观影响评价真正能达到保护景观的目的。     

金属矿山废弃地类型划分与生态退化特征

由于矿山开采中地表结构扰动、环境污染等因素导致矿山废弃地生态系统极度退化。通过对其产生原因和占地现状、特征的分析,将金属矿山废弃地划分为5大类15个类型,对其生态退化特征进行了评价;其中地表结构的不稳定性、土壤和植被的缺失及重金属离子污染是生态退化的主要限制性特征,也是生态恢复的难点和重点,并对不同类型金属矿山废弃地的生态治理措施进行了探讨。     

生活垃圾资源化有效利用性分析

本文对生活垃圾资源化处理进行分析,垃圾中重金属的存在直接影响其有效利用,不断强化人们的环保意识,将分拣垃圾落实到实际行动中,生活垃圾能够变废为宝。     

关于《建设项目环境影响评价分类管理名录》修订的思考与建议

建设项目环境影响评价分类管理制度明确了环评工作的内容和深度,但随着我国社会经济的发展,现有的分类管理名录暴露出一些不足之处,本文从行业细分调整、环境敏感区界定、公众参与范围确定、简化要求制定等方面对环境影响评价的分类管理制度进行探讨,并提出相关建议,以供决策者参考。     

非水相硝基苯在含水层中的迁移释放规律

通过室内模拟实验,探讨了在非水相硝基苯污染含水层的条件下,其在含水层中的迁移及释放规律。迁移规律表明,非水相硝基苯并非在含水层中直接进行垂向迁移,而是一方面在自身重力作用下向含水层下部迁移,另一方面在地下水流的作用下随地下水同向运移,整体表现为随地下水流的侧向运移,并最终迁移至含水层底部。释放规律表明,非水相硝基苯在含水层迁移的过程中会向地下水大量释放,释放出的硝基苯在水流的作用下随地下水同向运移,污染源及迁移至含水层底部的非水相硝基苯均存在再次释放。     

An analysis of assessment outcomes from eight years' operation of the Australian border weed risk assessment system

The majority of Australian weeds are exotic plant species that were intentionally introduced for a variety of horticultural and agricultural purposes. A border weed risk assessment system (WRA) was implemented in 1997 in order to reduce the high economic costs and massive environmental damage associated with introducing serious weeds. We review the behaviour of this system with regard to eight years of data collected from the assessment of species proposed for importation or held within genetic resource centres in Australia. From a taxonomic perspective, species from the Chenopodiaceae and Poaceae were most likely to be rejected and those from the Arecaceae and Flacourtiaceae were most likely to be accepted. Dendrogram analysis and classification and regression tree (TREE) models were also used to analyse the data. The latter revealed that a small subset of the 35 variables assessed was highly associated with the outcome of the original assessment. The TREE model examining all of the data contained just five variables: unintentional human dispersal, congeneric weed, weed elsewhere, tolerates or benefits from mutilation, cultivation or fire, and reproduction by vegetative propagation. It gave the same outcome as the full WRA model for 71% of species. Weed elsewhere was not the first splitting variable in this model, indicating that the WRA has a capacity for capturing species that have no history of weediness. A reduced TREE model (in which human-mediated variables had been removed) contained four variables: broad climate suitability, reproduction in less or than equal to 1year, self-fertilisation, and tolerates and benefits from mutilation, cultivation or fire. It yielded the same outcome as the full WRA model for 65% of species. Data inconsistencies and the relative importance of questions are discussed, with some recommendations made for improving the use of the system.     

Seasonal and spatial variability of Po,U and Pu levels in the river catchment area assessed by application of neural-network based classification

The present study deals with the application of self-organizing maps (SOM) in order to model, classify and interpret seasonal and spatial variability of ²¹⁰Po, ²³⁸U and ^239+240Pu levels in the Vistula river basin. The data set represents concentration values for 3 alpha emitters (²¹⁰Po, ²³⁸U and ^239+240Pu) measured in surface water samples collected at 19 different sampling locations (8 in major Vistula stream while 11 in right or left Vistula tributaries) during four seasons (winter, spring, summer and autumn) in the framework of a one-year quality monitoring study. The advantages of an SOM algorithm, its classification and visualization ability for environmental data sets, are stressed. The neural-network based classification made it possible to reveal specific patterns related to both seasonal and spatial variability. In the middle and upper part of Vistula catchment as well as in the right-shore tributaries, concentrations of ²¹⁰Po and ²³⁸U during summer and winter are the lowest. Concentrations of ²¹⁰Po and ²³⁸U increase significantly during spring and autumn in the Vistula river catchment, especially in the delta of Vistula river. High concentration of anthropogenic originated ^239+240Pu indicates “site-specific” character of pollution in two large left-shore tributaries located in the middle part of the Vistula drainage area. Efficient classification of sampling locations could lead to an optimization of river radiochemical sampling networks and to a better tracing of natural and anthropogenic changes along Vistula river stream.     

Ambient nitrogen oxides exposure and early childhood respiratory illnesses

Acute respiratory infections are common in children below 5 years and recent studies suggest a possible link with air pollution. In this study, we investigated the association between ambient nitrogen oxides (NO_x) and bronchitis or upper airway inflammation.This longitudinal study was conducted in Teplice and Prachatice districts, Czech Republic. Children were followed from birth to 4.5 years of age. Data were compiled from medical records at delivery and at follow up, and from self-administered questionnaires from the same two time points. Air pollution monitoring data were used to estimate exposure over five different averaging periods ranging from three to 45 days prior to an episode. To quantify the association between exposure and outcome, while accounting for repeated measure correlation we conducted logistic regression analysis using generalized estimating equations.During the first 2 years of life, the adjusted rate ratio for bronchitis associated with interquartile increase in the 30-day average NO_x was 1.31 [95% confidence interval (CI): 1.07, 1.61] and for two to 4.5 year olds, it was 1.23 (95% CI: 1.01, 1.49). The 14-day exposure also had stable association across both age groups: below 2 years it was 1.25 (95% CI: 1.06, 1.47) and for two to 4.5 years it was 1.21 (95% CI: 1.06, 1.39). The association between bronchitis and NO_x increased with child's age in the under 2 years group, which is a relatively novel finding.The results demonstrate an association between NO_x and respiratory infections that are sufficiently severe to come to medical attention. The evidence, if causal, can be of public health concern because acute respiratory illnesses are common in preschool children.