模拟酸露对植物影响的实验

模拟酸露对植物影响的实验结果表明，用酸露处理后，蚕豆的生理指标发生一定的变化，尤以ｐＨ１３．０时的变化较明显，显示了模拟酸露对植物的伤害作用。     

Revisiting the national corporate social responsibility index

This paper relies on Gjølberg’s national corporate social responsibility (CSR) index while its purpose is twofold. First, it seeks to extend the methodological instrument for assessing national CSR and, second, it applies the new approach to a much larger pool of countries (n = 86) in an attempt to provide a global CSR outlook. The emergent picture from the study is one of deficient CSR penetration and wide variation among countries where most of the assessed countries are still lagging in the endorsement of international CSR initiatives and schemes. Findings offer fertile ground to theorists and researchers for a deeper investigation of the national specificity of CSR and to further identify institutional determinants that shape the social responsiveness and self-regulation of business entities. The study has also implications for managers and top executives to consider as it infers that the national background can be influential in the development of a CSR agenda and can condition the level of CSR penetration.     

Postfire succession in a forest of the cryolithozone: The example of central Yakutia

The results of studies on postfire succession in larch forests of the permafrost zone are discussed. The main directions of successional processes in burned-out areas of different ages are described. It has been shown that secondary pyrogenic successions in larch forests follow the scheme of rapid regeneration without tree species replacement and the model of succession tolerance. Groups of plant species with different life strategies and indicator species characterizing different stages of the overgrowing of burned-out areas have been identified.     

Artificial neural network based carbon monoxide persistence models for episodic urban air quality management

This paper describes the development of artificial neural network (ANN) based carbon monoxide (CO) persistence (ANNCOP) models to forecast 8-h average CO concentration using 1-h maximum predicted CO data for the critical (winter) period (November–March). The models have been developed for three 8-h groupings of 10 p.m. to 6 a.m., 6 a.m. to 2 p.m. and 2–10 p.m., at two air quality control regions (AQCRs) in Delhi city, representing an urban intersection and an arterial road consisting heterogeneous traffic flows. The result indicates that time grouping of 2–10 pm is dominantly affected by inversion conditions and peak traffic flow. The ANNCOP model corresponding to this grouping predicts the 8-h average CO concentrations within the accuracy range of 68–71%. The CO persistence values derived from ANNCOP model are comparable with the persistence values as suggested by the Environmental Protection Agency (EPA), USA. This work demonstrates that ANN based model is capable of describing winter period CO persistence phenomena.     

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.     

Development and field validation of an indicator to assess the relative mobility and risk of pesticides in the Lourens River catchment,South Africa

A GIS based pesticide risk indicator that integrates exposure variables (i.e. pesticide application, geographic, physicochemical and crop data) and toxicity endpoints (using species sensitivity distributions) was developed to estimate the Predicted Relative Exposure (PREX) and Predicted Relative Risk (PRRI) of applied pesticides to aquatic ecosystem health in the Lourens River catchment, Western Cape, South Africa. Samples were collected weekly at five sites from the beginning of the spraying season (October) till the beginning of the rainy season (April) and were semi quantitatively analysed for relevant pesticides applied according to the local farmers spraying programme. Monitoring data indicate that physicochemical data obtained from international databases are reliable indicators of pesticide behaviour in the Western Cape of South Africa. Sensitivity analysis identified K_OC as the most important parameter influencing predictions of pesticide loading derived from runoff. A comparison to monitoring data showed that the PREX successfully identified hotspot sites, gave a reasonable estimation of the relative contamination potential of different pesticides at a site and identified important routes of exposure (i.e. runoff or spray drift) of different pesticides at different sites. All pesticides detected during a monitored runoff event, were indicated as being more associated with runoff than spray drift by the PREX. The PRRI identified azinphos-methyl and chlorpyrifos as high risk pesticides towards the aquatic ecosystem. These results contribute to providing increased confidence in the use of risk indicator applications and, in particular, could lead to improved utilisation of limited resources for monitoring and management in resource constrained countries.     

Developing Mechanism of Rubber-tea-chicken Agro-forestry Model in Tropical Area of China

As a typical tropical agro-forestry ecosystem in Wenchang,Hainan Province,China,rational mechanisms of the rubber-tea-chicken eco-agricultural model were studied with the Solow technological level index,stability indicator,harmonizing coefficient,grey correlation coefficient and production dominance.This study focused on rational hierarchical structure,the limiting factors and optimal strategies of the model development based on model structure,resource conditions and external market demands.Results showed that rational mechanism of the rubber-tea-chicken ecosystem model mainly included technological contributions,leverage function of dominance component(livestock husbandry),stability of the model structure and harmony of its components,the model dominant product’s market demand and government’s supporting policies.The contributions of fund,technology,information and talent resources played an important role in improving sustainability and productivity of the agro-forestry model.     

高原铁路机车乘务人员生理选拔指标研究

为了研究高原铁路机车乘务员生理选拔指标,确定生理指标鉴定标准值,选择西宁铁路分局西格段机车司机500人进行指标体系鉴定试验。其结果表明:西格段机车司机总体合格率为31.6%,年龄、行车线路高度差对合格率有较大影响;确认红细胞压积、白细胞计数、血小板计数、血氧饱和度、血糖、谷草转氨酶、总胆红素、直接胆红素、尿蛋白和尿红细胞为较敏感的高原低氧生理代偿指标;可作为生理适应性筛检指标。提出选拔青藏铁路机车乘务员应采用基础体检、高原适应性体检二级结构模型;制定了高原机车乘务员体检鉴定医学标准、测试方法、合格判定标准。     

对建立我国可持续发展指标的一点思考

传统的发展指标体系（如ＧＮＰ）存在着忽视环境的问题，导致经济与环境不能协调发展，因此建立一个能评价与测度可持续发展的指标体系显得尤为重要。本文探讨了建立可持续发展指标体系的几种方法，并分析了各个方法的优点与缺点。针对我国实际，我们认为建立可持续发展指标体系是一个多层次动态规划过程，应基于在关键自然实物量核算的基础上，从物理性指标向货币性指标过渡，将无量纲方法与有量纲方法结合运用。     

基于层次分析法的再生水补给型城市河湖水生态修复技术评价指标体系及其应用

由于城市水资源严重紧缺,再生水作为补给城市河湖景观水体的重要水源,用量逐年加大,随之带来的水环境问题也引起关注,往往需要采用适宜的技术和工程改善水质。然而对于现有的生态修复技术和工程,缺少相应的评价方法和指标体系对其修复效果和工程技术进行综合有效的评估。通过大量的文献及实地调研,结合再生水补给型城市河湖的特点,构建了包含环境效益、技术管理与维护及社会经济功能3个系统、7个准则和19个指标的再生水补给型城市河湖水生态修复技术评价指标体系,采用群组决策的层次分析法（AHP）确定各指标的权重,重要性排序前5位的指标依次是：藻类多样性、水生植物覆盖度、DO、TLI、PI（COD）。以北京市陶然亭湖水生态修复工程为例进行综合评价,研究结果表明,现阶段陶然亭湖水生态修复工程综合评分为3.35分,评价结果属于良。陶然亭湖经过水体生态修复后,水生态系统结构较好恢复;所选工程技术适宜;人员及经济投入适中;对周边环境产生较大正面影响;工程可优后进行推广