Current practice and shortcomings of EIA in Lithuania

The paper provides an overview of EIA system applications and assesses its effectiveness in Lithuania. A combination of archival research and quantitative/qualitative analysis was used to identify the main shortcomings of the EIA process in Lithuania: subjectivity in forecasting environmental effects, insufficient consideration of alternatives, politicisation of the process and incompetence of authorities involved. The research revealed that a thorough knowledge of EIA procedures and legal requirements may be a solution to these problems, especially when the stages related to forecasting the effects and evaluating the results are strictly reserved for recognized experts. The work concludes on the suggestions to involve in EIA process relevant authorities and to increase the competence of EIA practitioners.     

大气压光电离技术及其在环境污染物分析中的应用

介绍了液相色谱-质谱联用(LC-MS)技术中新型软电离技术大气压光电离法(APPI)的基本原理、鼻子源结构以及电离的影响因素,综述了LC-APPI-MS在环境污染物定性定量分析中的应用.     

浅论环境指标的相关性分析在监测数据审核中的应用

数据审核是环境监测质量保证的重要环节之一,数据审核的方法有许多种,文章从监测数据中各环境指标之间的相关性分析出发,对水、气、声环境要素中的各环境指标间的相关性进行总结,并将其应用于数据合理性的审核,具有借鉴意义.     

加强环境监测管理的几点思考

分析了环境监测在环境管理活动各个阶段所发挥的重要作用,以及目前环境监测管理中存在的主要问题,提出了加强监测管理的建议,旨在建设先进的环境监测预警体系,开创环境质量监测工作新局面。     

Evaluating the use of Social Impact Assessment in the context of agricultural development projects in Iran

The utilisation of Social Impact Assessment (SIA) in Iran is analysed in terms of its policy context and its application in practice. Five case studies where SIA was employed in conjunction with Environmental Impact Assessments (EIA) for agricultural development projects are evaluated. In addition, the performance of the policy context is assessed. This research revealed that there are legal and institutional constraints to the effective functioning of SIA in Iran, and that there are deficiencies in the operating guidelines. There were serious problems associated with the way SIA was undertaken in all five case studies. Recommendations to improve the policy framework for the conduct of SIA are made. The recommendations advocate for a higher profile of SIA within legislation, for social issues to have greater emphasis in official guidelines for the conduct of EIA and SIA, and for a range of measures to increase the professionalism of SIA practice.     

金昌市城区土壤重金属空间分布及潜在生态危害评价

通过对金昌市区范围内74处土壤的取样研究分析,结果表明：Cd、Cu、Ni、Pb、Zn5种重金属平均含量均超过当地土壤背景值,其中以Cu和Ni最为显著,其平均含量分别达到430mg／kg和361mg／kg;5种重金属变异系数均较大,其中Cu和Ni变异系数达到了11.5％和12.3％,属强变异性;采用克立格最优内插法得到金昌市表层土壤重金属含量的空间分布图,发现Cu和Ni呈局部污染态势,矿业开采和金属冶炼加工等工业活动是Cu和Ni最大的污染源;Pb、Zn和Cd在整个研究区域内都有积累,工矿活动和交通运输是金昌市Pb、Zn和Cd的共同污染源。潜在生态危害评价结果表明,该地区重金属污染已构成中度生态危害。     

无线传感器网络在环境监测中的应用

介绍了一种基于无线传感器网络的环境监测系统组成及架构,讨论了系统网络节点、网关的硬件设计,并对基于TinyOS的应用程序组件结构和节点工作流程做了说明。     

原子荧光光谱法同时测定环境水体中痕量锡和锌

采用原子荧光光谱法同时测定环境水样中痕量锡和锌,优化了试验条件。锡在1.00μg/L～10.0μg/L、锌在20.0μg/L～200μg/L范围内线性良好,方法检出限锡为0.13μg/L,锌为1.76μg/L,锡和锌标准溶液测定的相对标准偏差分别为2.9%和4.0%,环境水样加标回收率锡为96.4%～106%,锌为92.0%～111%。     

IFTCIP: An Integrated Optimization Model for Environmental Management under Uncertainty

In this study, an interval-fuzzy two-stage chance-constrained integer programming (IFTCIP) method is developed for supporting environmental management under uncertainty. The IFTCIP improves upon the existing interval, fuzzy, and two-stage programming approaches by allowing uncertainties expressed as probability distributions, fuzzy sets, and discrete intervals to be directly incorporated within a general mixed integer linear programming framework. It has advantages in uncertainty reflection, policy investigation, risk assessment, and capacity-expansion analysis in comparison to the other optimization methods. Moreover, it can help examine the risk of violating system constraints and the associated consequences. The developed method is applied to the planning for facility expansion and waste-flow allocation within a municipal solid waste management system. Violations of capacity constraints are allowed under a range of significance levels, which reflects tradeoffs between the system cost and the constraint-violation risk. The results indicate that reasonable solutions for both binary and continuous variables have been generated under different risk levels. They are useful for generating desired decision alternatives with minimized system cost and constraint-violation risk under various environmental, economic, and system-reliability conditions. Generally, willingness to take a higher risk of constraint violation will guarantee a lower system cost; a strong desire to acquire a lower risk will run into a higher system cost.