生石灰孔结构对高温脱硫性能的影响

喷钙脱硫工艺的炉内脱硫率 ,不仅受工艺参数的影响 ,还与石灰石分解生成的新生CaO或直接喷入的CaO的表面结构有关。本研究用同一石灰石经不同方法 (煅烧、过烧、煅烧 -水合 -脱水等 )制备了四种具有不同比表面积和孔结构的生石灰。高温脱硫研究表明 :这四种不同孔结构的生石灰 ,具有不同的脱硫率。通过对高温脱硫前后吸着剂宏观结构变化的对比 ,发现半径小于 30 的孔易被反应产物堵塞 ,因而脱硫能力有限 ,而半径大于 5 0 的孔对脱硫更有效。本研究将为提高炉内喷钙的脱硫率、研制和开发高效脱硫剂提供新的途径。     

Evaluating the impacts of global environmental assessments

There are currently no widely accepted procedures for comparing the performance of global environmental assessments (GEAs) and this may be a barrier to improving their methodology. To encourage greater self-reflection within the GEA community, it is proposed to introduce consistent evaluation approaches. Two elements from current evaluation practice are reviewed here that could be particularly useful for evaluating GEAs. The first are logic models which provide a transparent visual mapping of how activities in a GEA are intended to have impacts on policies. The second are performance metrics. It is proposed that GEAs adopt two kinds of metrics: (i) A common generic set for use in all GEAs to provide a basis for comparing the performance of GEAs, and (ii) a specific set of measureable metrics for each particular GEA derived from/linked to the generic set. Although many issues arise in applying these and other elements from evaluation theory and practice to GEAs, the potential benefits are greater comparability of GEA performance and new knowledge about how to improve them. This Short Communication is part of a Special Issue on solution-oriented GEAs.     

Emissions associated with meeting the future global wheat demand: A case study of UK production under climate change constraints

Climate change, population growth and socio-structural changes will make meeting future food demands extremely challenging. As wheat is a globally traded food commodity central to the food security of many nations, this paper uses it as an example to explore the impact of climate change on global food supply and quantify the resulting greenhouse gas emissions. Published data on projected wheat production is used to analyse how global production can be increased to match projected demand. The results show that the largest projected wheat demand increases are in areas most likely to suffer severe climate change impacts, but that global demand could be met if northern hemisphere producers exploit climate change benefits to increase production and narrow their yield gaps. Life cycle assessment of different climate change scenarios shows that in the case of one of the most important wheat producers (the UK) it may be possible to improve yields with an increase of only 0.6% in the emission intensity per unit of wheat produced in a 2 °C scenario. However, UK production would need to rise substantially, increasing total UK wheat production emissions by 26%. This demonstrates how national emission inventories and associated targets do not incentivise minimisation of global greenhouse gas emissions while meeting increased food demands, highlighting a triad of challenges: meeting the rising demand for food, adapting to climate change and reducing emissions.     

渤海海域生态系统服务功能价值评估

客观评估海洋生态系统服务功能价值。对于生态环境保护以及海洋综合管理具有重要意义。以海洋生态系统服务功能分类为基础．构建了食品生产、提供基因资源、氧气生产和气候调节、废弃物处理、生物控制、休闲娱乐、科研文化、初级生产、物种多样性维持等九项服务功能价值的评估方法。以渤海为研究区域．对上述九项生态系统服务功能价值进行了定量评价。结果表明。渤海海域九项生态系统服务功能的价值为81703亿元．相当于近期环渤海地区生产总值的1．73倍．其中直接使用价值为12873亿元，间接使用价值68830亿元．间接使用价值远大于直接使用价值；渤海海域生态系统服务价值，以支持功能价值为主，占生态系统服务功能总价值的74．68％。此外．认为海洋生态系统服务功能分类和价值评价方法有待进一步完善．渤海海域生态系统服务功能价值的评估值与实际有偏差。     

火力发电厂安全现状评价模式探讨

以火电厂现状评价为例,探索火力发电厂安全现状评价模式。     

基于BP神经网络的苯储罐泄漏事故风险评价模型研究

为了在事故发生之前对苯储罐进行风险评价，提出1种基于BP神经网络的泄漏事故风险评价方法，利用该方法构建了苯储罐的风险评价模型，并对模型进行了训练及验证。研究结果表明:BP神经网络成功完成了建模任务，且模型训练结果较好，可利用基于BP神经网络所构建的苯泄漏事故风险评价模型对苯储罐发生泄漏事故的风险进行评价。     

Applying integrated assessment methodologies to air quality plans: Two European cases

Air pollution Integrated Assessment Models (IAM) can be used for determining how emissions should be reduced to improve air quality and to protect human health in a cost-efficient way. The application of IAM is also useful to spread information to the general public and to explain the effectiveness of proposed Air Quality Plans. In this paper, the application of the RIAT+ system to determine suitable abatement measures to improve the air quality at a regional/local level is presented for two European cases: the Brussels Capital Region (Belgium) and the Porto Urban Area (Portugal). Both regions are affected with PM10 or NO₂ concentrations that exceed the limit values specified by the European Union legislation. To properly assess air quality abatement measures a surrogate model was used, allowing the implementation of an efficient optimization procedure. This model is derived in both cases through a set of simulations performed using a Chemistry Transport Model fed with different emission reduction scenarios. In addition, internal costs (due to the implementation of emission reduction measures) and external costs (due to population exposure to air pollutant concentrations) of policy options were considered. The application of this integrated assessment modelling system in scenario (Brussels case) and optimization (Porto) modes contributes to identifying some advantages and limitations of these two approaches and also provides some guidance when urban air quality has to be assessed.     

Integrating economic landscape valuation into Mediterranean territorial planning

Recent and rapid landscape changes have occurred over large areas in Mediterranean Basin. Wildfires and human activities are the most important disturbances at landscape-level due to their ecological and socio-economic impacts. The increasing demand which society places on the forest landscapes has led us to develop a tool to identify the economic landscape value around natural protected areas. Our research focused on the integration of social, ecological and economic components of landscape management based on stated social preferences and contingent valuation method (CVM). Landscape value research has been motivated by the need to assist land use planning and environmental management.Geographic Information Systems (GIS) have provided new opportunities to spatially distributed modeling of landscape quality. Correlations were found between the representativeness of the landscape and its sense of belonging, and the contingent rating. Landscape with intensive agricultural practices and mining areas were the least preferred landscapes. There was a notable variation in the economic landscape value attributed to the study area based on the considered CVM scenario, ranging from 1,253,075.1 Euros to 3,650,827.8 Euros. We added the geospatial allocation of willingness to pay according to five landscape quality categories. Our approach could be used to identify priority areas for conservation based on maximizing landscape value, and would be useful in detecting interesting or conflict areas associated with new management and planning alternatives. In this sense, this approach offers managers to seek territorial management strategies to increase economic efficiency in the allocation of resources.     

Solution-oriented global environmental assessments: Opportunities and challenges

This article provides an introduction to the Special Issue dedicated to “Solution-oriented Global Environmental Assessments: Opportunities and Challenges”. In the follow-up to the Paris climate agreement and the adoption and early implementation of the global Sustainable Development Goals involving many synergies and trade-offs, the need to shift the focus from environmental problem analysis towards the exploration of specific solution options can be observed in international environmental governance debates. To remain policy-relevant, credible and legitimate, global environmental assessments (GEAs) must carefully adapt to a rapidly evolving governance landscape. This Special Issue sheds light on the potential utility and implications of increased solution-orientation of GEAs. It builds on the research project “The Future of Global Environmental Assessment Making” that was jointly initiated in 2013 by UN Environment and the Mercator Research Institute on Global Commons and Climate Change. The article collection includes research on the coevolution of GEAs and the increasingly solution-oriented governance context; conditions of success for contemporary GEAs; the treatment of divergent viewpoints, stakes and stakeholders in solution-oriented GEAs; knowledge aggregation; and the enhanced measurement of GEA effectiveness in the emerging governance landscape.     

Estimating Watershed Level Nonagricultural Pesticide Use From Golf Courses Using Geospatial Methods1

Abstract: Limited information exists on pesticide use for nonagricultural purposes, making it difficult to estimate pesticide loadings from nonagricultural sources to surface water and to conduct environmental risk assessments. A method was developed to estimate the amount of pesticide use on recreational turf grasses, specifically golf course turf grasses, for watersheds located throughout the conterminous United States (U.S.). The approach estimates pesticide use: (1) based on the area of recreational turf grasses (used as a surrogate for turf associated with golf courses) within the watershed, which was derived from maps of land cover, and (2) from data on the location and average treatable area of golf courses. The area of golf course turf grasses determined from these two methods was used to calculate the percentage of each watershed planted in golf course turf grass (percent crop area, or PCA). Turf‐grass PCAs derived from the two methods were used with recommended application rates provided on pesticide labels to estimate total pesticide use on recreational turf within 1,606 watersheds associated with surface‐water sources of drinking water. These pesticide use estimates made from label rates and PCAs were compared to use estimates from industry sales data on the amount of each pesticide sold for use within the watershed. The PCAs derived from the land‐cover data had an average value of 0.4% of a watershed with minimum of 0.01% and a maximum of 9.8%, whereas the PCA values that are based on the number of golf courses in a watershed had an average of 0.3% of a watershed with a minimum of <0.01% and a maximum of 14.2%. Both the land‐cover method and the number of golf courses method produced similar PCA distributions, suggesting that either technique may be used to provide a PCA estimate for recreational turf. The average and maximum PCAs generally correlated to watershed size, with the highest PCAs estimated for small watersheds. Using watershed specific PCAs, combined with label rates, resulted in greater than two orders of magnitude over‐estimation of the pesticide use compared to estimates from sales data.