Quality assessment of composts in the Greek market: the need for standards and quality assurance

An extensive data survey and study of the Greek market for composts or products marketed as such was carried out in order to acquire a comprehensive image of the local situation, in view of the proposed operation of large municipal solid waste (MSW) composting facilities and EU legislation changes. Physical and chemical parameters (moisture, organic matter, electrical conductivity, pH and heavy metals), stability indicators (self-heating potential, germination index) and biological indicators (microbial population, pathogen indicators and selected pathogens) were analyzed for the assessment of product quality. Results revealed wide variations even within the same group of products, which is particularly significant for parameters directly related to environmental protection and public health. The heavy metal content ranged from levels exceeding the fairly lenient Greek standards to below the stringent limits for A+ class compost in Austria. About 25% of the composts examined met the heavy metal limits for the EU eco-label award. Salmonella spp. was not detected in any of the composts but Staphylococcus aureus and Clostridium perfringens were found in 17 and 96% of the composts respectively. Pathogen indicator microorganisms were present at levels above suggested limits in all the composts. The high variability of such important parameters in composts available on the Greek market suggests an urgent need for establishing quality assurance procedures and mechanisms in the country. Moreover, the wide range of limit values within EU member states suggests the need for developing EU compost quality standards, in order to harmonize the compost markets.     

ANSI/ASQC E4: A unified management standard for quality assurance of environmental programs

The need for a national consensus standard for quality assurance (QA) for environmental programs emerged from efforts to clean up sites contaminated by hazardous chemical and/or radioactive wastes. The waste management community has been using several different standards or sets of requirements for establishing the QA and quality control (QC) procedures for use during the cleanup of contaminated sites. Some of these requirements have been imposed by federal agencies, including the Department of Energy (DOE), the Department of Defense (DOD), the Nuclear Regulatory Commission (NRC), and the Environmental Protection Agency (EPA). Often, requirements have been chosen to fit a particular mission or regulatory requirements. The remediation and restoration of federally owned or operated hazardous waste sites has created a situation in which multiple organizations (including federal and state regulators, site operators, and remedial contractors) are overseeing or addressing the same technical problem, often at the same site, and using different QA requirements. The occurrence of multiple QA/QC requirements has resulted in costly and time-consuming duplication of effort. In addition, the perception of inconsistent and often conflicting requirements has created confusion and frustration. The need for a single set of QA/QC criteria to bring order and consistency to the application of QA in the environmental waste management area became increasingly clear, and led to the development of ANSI/ASQC E4, which may be approved and issued by this year.     

Mission assurance policy and risk management in cybersecurity

Mission assurance policy and risk management are essential in enabling decision makers to ensure successful completion of missions by addressing the security status of cyber assets. This paper presents a novel mission assurance policy that adapts to the dynamic security status of all mission assets to quickly and automatically determine mission assurance level and to decide what changes are needed accordingly. The novelty of this mission assurance policy stems from using a time Petri net model for determining the security status of cyber assets, and then employing binary or multi-valued logic decision diagrams to assess the mission assurance level. The ability of a mission assurance policy to successfully complete its objectives depends mainly on whether a risk management scheme is provided to reduce risk to an acceptable level. To that end, this paper also describes a risk management scheme to systematically deal with the main factors of risk management such as the temporal interdependencies of cyber assets, impact of attacks, and risk mitigation. Given that the status of cyber assets changes due to the dynamic cybersecurity environment of asset vulnerabilities, threats, and recovery, the proposed mission assurance policy and risk management scheme enable decision makers to cope with the real-time assessment of mission assurance level.     

Understanding brownfields regeneration in the US

Federal, state and local initiatives have emerged in the United States over the last decade to address the increasing number of 'brownfield' properties that are perceived to be contaminated. These initiatives are based on the beliefs that the social and financial benefits provided by redevelopment exceed the costs imposed by the interventions and that the reuse of sites can further local sustainability objectives by reducing growth pressures in undeveloped areas. This paper provides an examination of the current state of the practice of brownfields within which these interventions should be based. We summarize brownfields problems and federal, state and local efforts to address these problems. We then present ten stylized propositions about brownfields and draw on a range of surveys of the public and private sectors and other sources to explore the reality behind these. Finally we use the propositions to tie brownfields regeneration to sustainable local development through an area wide approach to redevelopment rather than a site base approach which benefits a wider community or geographic area.     

Understanding long-term baseflow water quality trends using a synoptic survey of the ground water-surface water interface, central Wisconsin

The relationship between stream water quality and landscape activities is difficult to evaluate where the principal source of stream flow is ground water seepage because the average travel time from ground water recharge areas to stream discharge positions can be on the order of decades. We tested the idea that past and future baseflow water quality can be predicted based on a synoptic survey of ground water recharge age-dates (based on chlorofluorocarbon [CFC] measurements) and water quality measurements obtained at the ground water-surface water interface. In this study we (i) characterize the discharge-weighted age distribution and water quality of ground water seepage into the Little Plover River (LPR); (ii) use this information to backcast and forecast baseflow NO(3)(-) concentrations; and (iii) evaluate NO(3)(-) backcasts against historical baseflow data (1960 to 2000). The discharge-weighted apparent CFC age of ground water seepage into the LPR was 23.7 (+/-7) yr. Baseflow backcasts matched the four decade rise of baseflow NO(3)(-) from 2 to 8 mg L(-1). Baseflow forecasts included three scenarios. Scenario A projects the historical rise of NO(3)(-) in the LPR basin's ground water recharge through 2050. Scenario B projects a leveling off of NO(3)(-) in ground water recharge in the year 2000. Scenario C projects a leveling off in the year 1985. Under Scenario A, LPR baseflow NO(3)(-) will increase steadily from 8 to 19 mg L(-1) between 2000 and 2050. Under scenarios B and C baseflow NO(3)(-) will plateau at 13 mg L(-1) in 2030 and at 10 mg L(-1) in 2010, respectively. The approach developed in this study can be used to (i) reconstruct historical baseflow water quality patterns in the absence of long-term monitoring data and (ii) project the effects of potential management decision on future water quality.     

The use of regression equations for quality control in a pesticide physical property database

Quality control is a crucial aspect of database management, particularly for physicochemical parameters that are widely used in modeling environmental fate processes. Complete rechecking of original studies to verify environmental fate parameters is time consuming and difficult. This paper evaluates an alternative, more efficient approach to identifying database errors. The approach focuses verification efforts on a targeted subset of entries by making use of the relationship between water solubility (S) and soil organic carbon partition coefficient (K _oc ). Two regression equations, one selected from the literature and one calculated from entries in the database, were used to evaluate the reasonableness of (S, K _oc ) pairs among control compared to the targeted outlier group from a total of 59 pesticides. Our hypothesis was that (S, K _oc ) pairs that lay far from the regression line were more likely to be in error than those that fit the regression. Database values were checked against original studies. Identified errors in the database included coding mistakes, miscalculations, and incorrect chemical identification codes. The error rate in outlier (S, K _oc ) pairs was about twice that of pairs that conformed to the regression equation; however, the error rate differential was probably not large enough to justify the use of this quality control method. Through our close scrutiny of database entries we were able to identify administrative practices that led to mistakes in the data base. Resolution of these problems will significantly decrease the number of future mistakes.     

Reducing atrazine losses: water quality implications of alternative runoff control practices

Water quality is being affected by herbicides, some allegedly harmful to human health. Under scrutiny is atrazine (1-chloro-3-ethylamino-5-isopropylamino-2,4,6-triazine), a commonly used herbicide in corn (Zea mays L.) and sorghum [Sorghum bicolor (L.) Moench] production. Concentrations of soluble and adsorbed atrazine losses sometimes exceed the safe drinking water standard of 3 microg L(-1) established by the USEPA. This study assesses the protective implications of runoff control structures and alternative crop farming practices to minimize atrazine losses. Using a computerized simulation model, APEX, the following four practices were the most effective with respect to the average atrazine loss as a percent of the amount applied: (i) constructing sediment ponds, 0.09%; (ii) establishing grass filter strips, 0.14%; (iii) banding a 25% rate of atrazine, 0.40%; and (iv) constructing wetlands, 0.45%. Other atrazine runoff management options, including adoption of alternative tillage practices such as conservation and no-till as well as splitting applications between fall and spring, were marginally effective.     

Understanding the Underwater Behaviour of Scuba Divers in Hong Kong

Diving-related activities may constitute a major threat to coral reefs. This study aimed to quantify the impact of diving in Hong Kong on hard corals and understand how socio-economic characteristics and experience level of divers influence diver-inflicted damage. We recorded and analysed the underwater behaviour of 81 recreational divers. On average, a diver was in contact with marine biota 14.7 times with about 40 % of contacts involved corals and 38 % were damaging contacts with corals or other biota in a single dive. The most harm-inflicting groups included inexperienced and camera-carrying divers. Although Hong Kong divers did not make many damaging contacts with corals, there is still an imminent need to determine the scale of damage from diving activities on the marine ecosystem given the rapid development of marine-based tourism and the limited coral-inhabited areas in Hong Kong where the marine environment is already under stress from anthropogenic activities.     

正确理解电气设备中电源插头的剩余电压和剩余能量

文章先说明了电气设备中电源插头LN插脚之间剩余电压和剩余能量的测量是考虑“差模干扰”的影响。而L（N）插脚与保护地之间的剩余电压和剩余能量的测量考虑“共模干扰”的影响。接着介绍了安全电压和安全能量的限值是如何确定的。然后重点分析常见电源电路中的X电容和放电电阻位置对电源插头的剩余电压和剩余能量的影响。并通过具体案例说明插头剩余电压和剩余电量是如何测量的。最后详细对电源插头达到安全电压所需时间的进行了不确定度分析和计算。     

Understanding the dynamics and competitiveness of the South African minerals inputs cluster

South Africa has developed niche competencies around the extraction and processing of mineral resources. Firms involved in the manufacture and supply of inputs to mining and mineral processing represent a key source of competitive advantage upon which future growth and development in the country can be planned. Drawing on a qualitative and quantitative study of 678 supplier firms conducted in 2004, this paper presents an assessment of the state of the South African minerals inputs cluster. The various demand and supply relationships, dynamics, and growth opportunities within the cluster are highlighted and the threats affecting the cluster's future competitiveness reviewed. The interventions needed to overcome and/or enhance them are also identified.     

Comparison of air quality in the UK and Russia

Summary A comparison is made of some of the key elements of ambient air quality in the UK and the Russian Federation. In each country air quality has recently moved towards the top of public environmental concerns. The legislative and regulatory framework for controlling/improving air quality is considered briefly. In the Russian Federation ambient air ground level standards exist for over 20 chemicals. In contrast, in the UK, to date, only four EEC (European Union) imposed standards are in operation. The Russian standards are considerably stricter than those of the UK, but compliance in many cities is very poor. In each country air quality has benefited more from economic recessionary forces than direct government action. In both countries the trend is to a reduction in sulphur dioxide levels. In contrast, nitrogen dioxide levels are increasing primarily because of growing road traffic levels. An attempt is made to compare air quality in Moscow with that in London. Constraints include the use of different methodologies and forms of data presentation. However, the overall impression is of substantial similarities in the air quality of the two capital cities.     

Ground-level ozone in the Pearl River Delta and the roles of VOC and NO(x) in its production

In many regions of China, very rapid economic growth has been accompanied by air pollution caused by vehicle emissions. In one of these regions, the Pearl River Delta, the variations of ground-level ozone and its precursors were investigated. Overall, the ambient concentrations of NO(2) increased quickly between 1995 and 1996, but then slightly decreased due to stringent nitrogen oxide (NO(x)) emission controls. Nonetheless, ambient NO(2) levels in the Pearl River Delta remained high. The regional average concentrations of volatile organic compounds (VOCs) were 290 ppbC in summer and 190 ppbC in autumn. Local emissions and long-distance transportation of pollutants play important roles in the regional distribution of VOCs. Ambient O(3) production is significant in urban areas and also downwind of cities. The relative incremental reactivities (RIRs), determined by an observation-based model, showed that ground-level ozone formation in the Guangzhou urban area is generally limited by the concentrations of VOCs, but there are also measurable impacts of NO(x).     

论生态服务与生态足迹的概念及其启示

1.生态服务与生态服务系统人类进行生产和生活活动要与自然环境进行物质和能量的交换,即利用其生态功能从中直接或间接获取生态食物、生态服务两种利益。举个例子讲,热带与亚热带沿海红树林生态系统中,生长在潮滩上、沿海居民采海时所收获的鱼、虾、贝类等即为生态食物,而红树林抗御强台风、保护海堤、吸收废物的能力等便是对人类的生态服务。通常也将生态食物和服务统一视为生态服务。资产,也称为资本,指某一时间某处物质或信息的储量。某一形式的资本储量既能独自也能与其他资产储量的服务一起产生影响。人类使用这些资本可能会使其减量,…     

TQM and the cost of environmental quality

Because management is driven largely by financial concerns, determining the cost of environmental quality is a critical step in developing an environmental TQM program for which management will actively demonstrate commitment and support. Costs of environmental quality can be grouped into three categories: failure, prevention, and appraisal. The total cost of environmental quality can be used as a benchmark to monitor the level of environmental quality and to justify the redirection of resources.     

Understanding the role of chronic environmental disturbance in the context of island biogeographic theory

Island biogeographic theory offers a powerful conceptual framework for understanding and managing insular diversity. The human impact on insular environments is constantly growing, especially because of tourism. We performed a simulation study aimed at improving the understanding of the role of disturbance in islands. We also built an individual-oriented computer model of an archipelago subjected to chronic disturbance of varying degree. Results are discussed in the light of island biogeographic theory. Relevant results show the importance of autoecological characteristics of the species considered, regarding the attainment of equilibrium and the species-area relationship in both disturbed and undisturbed cases. The possibility of bias in the predictions of the equilibrium model is pointed out. Fundamental criticisms concerning the ecological relevance of the equilibrium theory are discussed.     

Synergistic Techniques for Better Understanding and Classifying the Environmental Structure of Landscapes

The desire to capture natural regions in the landscape has been a goal of geographic and environmental classification and ecological land classification (ELC) for decades. Since the increased adoption of data-centric, multivariate, computational methods, the search for natural regions has become the search for the best classification that optimally trades off classification complexity for class homogeneity. In this study, three techniques are investigated for their ability to find the best classification of the physical environments of the Mt. Lofty Ranges in South Australia: AutoClass-C (a Bayesian classifier), a Kohonen Self-Organising Map neural network, and a k-means classifier with homogeneity analysis. AutoClass-C is specifically designed to find the classification that optimally trades off classification complexity for class homogeneity. However, AutoClass analysis was not found to be assumption-free because it was very sensitive to the user-specified level of relative error of input data. The AutoClass results suggest that there may be no way of finding the best classification without making critical assumptions as to the level of class heterogeneity acceptable in the classification when using continuous environmental data. Therefore, rather than relying on adjusting abstract parameters to arrive at a classification of suitable complexity, it is better to quantify and visualize the data structure and the relationship between classification complexity and class homogeneity. Individually and when integrated, the Self-Organizing Map and k-means classification with homogeneity analysis techniques also used in this study facilitate this and provide information upon which the decision of the scale of classification can be made. It is argued that instead of searching for the elusive classification of natural regions in the landscape, it is much better to understand and visualize the environmental structure of the landscape and to use this knowledge to select the best ELC at the required scale of analysis.