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。     

Dust Storms are an Indication of an Unhealthy Environment in East Asia

Dust storms frequently occur in Mongolia and in northern China. Each year there are 30 to 120 dusty days in source regions of Mongolia and 14–20 dusty days on the Korean Peninsula. Intense sand storms and associated dust falls produce environmental impacts in East Asia. This paper discusses the environmental degradation in Mongolia and the social, economic and atmospheric impacts of dust storms in the sink area. The impact of dust storms on environmental compartments as well as their direct and indirect consequences to basic resources like water and energy demand and supply is explained. Governments are encouraged to take appropriate action in specified regions. For monitoring dust storms there is a need for international cooperation to combat growing environmental and human security concerns.     

基于信息熵理论的泥石流沟谷危险度评价

泥石流沟谷是一个复杂的地貌系统,有其发生、发展和衰退的过程.文章从系统科学和地貌学的角度出发,运用了能综合表述地貌演化特征的因子-地貌系统信息熵对泥石流沟谷进行危险度评价,研究以昆明市东川城区后山深沟、石羊沟和尼姑拉沟为试点,对各泥石流沟的信息熵进行了计算.结果表明,深沟和石羊沟的地貌信息熵值分别为0.124和0.174,泥石流沟谷正由发育的中年末期向老年期演化;尼古拉沟的信息熵值为0.246,正处于沟谷发育的旺盛时期,计算结果与当地实际情况有较好的一致性.     

1994年江淮伏旱及其影响研究

利用江谁地区18个站点1951～1995年6～8月降水量资料,用Z指数建立了历年夏季旱涝序列,着重对1994年江淮伏旱及其对农业、水资源的影响进行了分析评述,获得了一些有意义的结论。     

玛纳斯河流域生态问题的潜在风险性评估

玛纳斯河流域是中国干旱区最具代表性的山地-绿洲-荒漠生态系统,三大生态系统表现出的区域生态、经济要素的空间状况有所分异,所存在的生态安全问题的表现形式也各不相同。根据流域土地利用和水资源数据库,在生态经济功能分区的基础上,针对流域不同分区存在的生态安全问题,选取相应的17个生态风险评估指标,建立了生态-经济风险性评价模型,对流域各个生态经济功能亚区的生态问题潜在的风险性进行了生态风险评估。结果表明:Ⅰ1,Ⅱ1,Ⅱ2,Ⅱ3,Ⅲ1,Ⅲ2和Ⅲ3亚区的生态问题潜在的风险性在增大,说明生态问题日益突出,而Ⅰ1和Ⅱ4亚区生态问题潜在的风险性指数存在波动;Ⅰ,Ⅱ和Ⅲ三个大区中生态问题潜在的风险性指数最高的分别是Ⅰ1,Ⅱ1和Ⅲ1亚区。评价结果能够较为客观地反映了当地的实际情况,因而对流域可能出现的灾害性的环境问题及由此引起的巨大的经济损失提出了警示。     

Validation of a hybrid life-cycle inventory analysis method

The life-cycle inventory analysis step of a life-cycle assessment (LCA) may currently suffer from several limitations, mainly concerned with the use of incomplete and unreliable data sources and methods of assessment. Many past LCA studies have used traditional inventory analysis methods, namely process analysis and input-output analysis. More recently, hybrid inventory analysis methods have been developed, combining these two traditional methods in an attempt to minimise their limitations. In light of recent improvements, these hybrid methods need to be compared and validated, as these too have been considered to have several limitations. This paper evaluates a recently developed hybrid inventory analysis method which aims to improve the limitations of previous methods. It was found that the truncation associated with process analysis can be up to 87%, reflecting the considerable shortcomings in the quantity of process data currently available. Capital inputs were found to account for up to 22% of the total inputs to a particular product. These findings suggest that current best-practice methods are sufficiently accurate for most typical applications, but this is heavily dependent upon data quality and availability. The use of input-output data assists in improving the system boundary completeness of life-cycle inventories. However, the use of input-output analysis alone does not always provide an accurate model for replacing process data. Further improvements in the quantity of process data currently available are needed to increase the reliability of life-cycle inventories.     

Risk assessment and prioritisation of contaminated sites on the catchment scale

Contaminated sites pose a significant threat to groundwater resources worldwide. Due to limited available resources a risk-based prioritisation of the remediation efforts is essential. Existing risk assessment tools are unsuitable for this purpose, because they consider each contaminated site separately and on a local scale, which makes it difficult to compare the impact from different sites. Hence a modelling tool for risk assessment of contaminated sites on the catchment scale has been developed. The CatchRisk screening tool evaluates the risk associated with each site in terms of its ability to contaminate abstracted groundwater in the catchment. The tool considers both the local scale and the catchment scale. At the local scale, a flexible, site specific leaching model that can be adjusted to the actual data availability is used to estimate the mass flux over time from identified sites. At the catchment scale, a transport model that utilises the source flux and a groundwater model covering the catchment is used to estimate the transient impact on the supply well. The CatchRisk model was tested on a groundwater catchment for a waterworks north of Copenhagen, Denmark. Even though data scarcity limited the application of the model, the sites that most likely caused the observed contamination at the waterworks were identified. The method was found to be valuable as a basis for prioritising point sources according to their impact on groundwater quality. The tool can also be used as a framework for testing hypotheses on the origin of contamination in the catchment and for identification of unknown contaminant sources.     

Comparison of China’s Environmental Impact Assessment (EIA) Law with the European Union (EU) EIA Directive

In this paper, we first review the development of China’s Environmental Impact Assessment (EIA) system in the past 30 years. Then we compare the framework and operational procedures of China’s new EIA law with those of the EU EIA Directive. We also compare public participation, as well as sanctions and control in the two EIA systems. In addition, we identify where the processes in both EIA systems are similar or different from one another. By comparison, we noted that there are at least three obvious weaknesses in China’s EIA system: (1) the application of new models for EIA legislation; (2) the improvement of EIA guidance and education; and (3) the enhancement of public participation in EIA process. Our study indicates that these three major shortcomings should be overcome and improved in China’s EIA system, when compared with the EU EIA system.     

A Procedure for NEPA Assessment of Selenium Hazards Associated With Mining

This paper gives step-by-step instructions for assessing aquatic selenium hazards associated with mining. The procedure was developed to provide the U.S. Forest Service with a proactive capability for determining the risk of selenium pollution when it reviews mine permit applications in accordance with the National Environmental Policy Act (NEPA). The procedural framework is constructed in a decision-tree format in order to guide users through the various steps, provide a logical sequence for completing individual tasks, and identify key decision points. There are five major components designed to gather information on operational parameters of the proposed mine as well as key aspects of the physical, chemical, and biological environment surrounding it — geological assessment, mine operation assessment, hydrological assessment, biological assessment, and hazard assessment. Validation tests conducted at three mines where selenium pollution has occurred confirmed that the procedure will accurately predict ecological risks. In each case, it correctly identified and quantified selenium hazard, and indicated the steps needed to reduce this hazard to an acceptable level. By utilizing the procedure, NEPA workers can be confident in their ability to understand the risk of aquatic selenium pollution and take appropriate action. Although the procedure was developed for the Forest Service it should also be useful to other federal land management agencies that conduct NEPA assessments, as well as regulatory agencies responsible for issuing coal mining permits under the authority of the Surface Mining Control and Reclamation Act (SMCRA) and associated Section 401 water quality certification under the Clean Water Act. Mining companies will also benefit from the application of this procedure because priority selenium sources can be identified in relation to specific mine operating parameters. The procedure will reveal the point(s) at which there is a need to modify operating conditions to meet environmental quality goals. By recognizing concerns early in the NEPA process, it may be possible for a mining company to match operational parameters with environmental requirements, thereby increasing the likelihood that the permit application will be approved.     

Rapid humanitarian assessments and rationality: a value-of-information study from Iraq, 2003-04

Rapid assessments are one of the standard informational tools in humanitarian response and are supposed to contribute to rational decision-making.(1) The extent to which the assessment organisation itself behaves rationally, however, is an open question. This can be evaluated against multiple criteria, such as the cost and value of the information it collects and its ability to adapt flexibly design or samples when the survey environment changes unforeseeably. An unusual data constellation from two concurrent recent (2003-04) rapid assessments in northern Iraq permits us to model part of the actual assessment behaviour in terms of geographical, community and prior substantive information attributes. The model correctly predicts the decisions, in 79 per cent of the 2,425 local communities in focus, that data collector teams in the Emergency Mine Action Survey made to visit or not to visit. The analysis demonstrates variably rational behaviour under conditions of insecurity, repeated regrouping and incomplete sampling frames. A pronounced bias towards very small rural settlements is irrational for the overall results, but may be a rational strategy of individual survey workers seeking to prolong their employment. Implications for future assessments are sketched in the areas of tools for urban surveys, greater adaptability, including early feedback from users, and sensibility to value-of-information concepts.