国家环境监理信息系统的推广使用对环保产业发展的推动作用

国家环境监理信息系统的推广使用将带来我国环保事业的一次飞跃,从而全面推动我国环保产业的发展：培育一个巨大的环保信息产业市场,彻底改变环保产业结构;推动环境信息应用技术服务领域的发展;推动专业污染治理服务的发展;带动污染检测仪表的发展;推动环保科研的发展。     

GIS-based assessment of the threat to world forests by patterns of non-sustainable civilisation nature interaction

The paper presents a novel transdisciplinary approach to investigate non-sustainable civilisation–nature interactions in the context of global change. The approach rests on the decomposition of intricate dynamics of Global Change into problematic patterns civilisation nature interactions (‘syndromes’) this is done by an iterative process of observations, data and theoretical system analysis and GIS-based modelling attempts. These syndromes of global change characterise endangering and risky developments of civilisation nature interaction and represent a baseline for measuring and indicating ‘non-sustainability’; in order to have a sustainable development it is necessary to have a far-reaching absence of syndromes. They encompass the core problems of global change, e.g. soil degradation, climate change, threats to biodiversity or global deforestation. Patterns are defined as characteristic constellations of global change trends (‘symptoms’). Cause–effect schemes of symptoms and their interrelations are constituted as complex phenomena resulting from interactions over the different spheres of the Earth system (biosphere, atmosphere, hydrosphere, population, pedosphere, economy, psychosocial sphere, social organisation, science and technology). The approach is illustrated by an analysis of civilisation–nature interaction patterns relevant for global deforestation. Global forest ecosystems have been chosen for this investigation because of their important role in the global carbon cycle and their importance for biological diversity. The resulting geographical patchwork of the combined dispositions and intensities of the different syndromes describes current and future regional threats to forests by their underlying global cause–effect patterns of civilisation–nature interaction.     

体育教学反馈与自我反馈运用的探讨

体育教学过程中,教学效果的好坏取决于师生双方对过程的调控程度,而对技能教学的调控,则依据教师的教学反馈和学生的自我反馈来实现。在体育教学过程中,教学反馈与自我反馈的有机结合,是提高教学质量的关键。     

应用安全信息管理确保安全生产

叙述了安全信息管理在采煤生产管理中的应用、实施办法、步骤以及取得的效果。     

流域地表生态信息的卫星遥感图像处理技术

以福建省九龙江流域为例,利用计算机技术和遥感-GIS工具软件,探讨利用多源卫星遥感影像获取流域地表环境信息的图像处理与分析技术,列举卫星遥感可获取的流域地表生态环境专题信息。重点分析利用遥感-GIS界定流域范围的方法、流域地表覆盖状况和植被覆盖密度的卫星遥感影像处理方法。      

Prospective spatial prediction of infectious disease: experience of New York State (USA) with West Nile Virus and proposed directions for improved surveillance

Infectious disease surveillance has become an international top priority due to the perceived risk of bioterrorism. This is driving the improvement of real-time geo-spatial surveillance systems for monitoring disease indicators, which is expected to have many benefits beyond detecting a bioterror event. West Nile Virus surveillance in New York State (USA) is highlighted as a working system that uses dead American Crows (Corvus brachyrhynchos) to prospectively indicate viral activity prior to human onset. A cross-disciplinary review is then presented to argue that this system, and infectious disease surveillance in general, can be improved by complementing spatial cluster detection of an outcome variable with predictive “risk mapping” that incorporates spatiotemporal data on the environment, climate and human population through the flexible class of generalized linear mixed models.

Comprehensive alarm information processing technology with application in petrochemical plant

During the abnormal plant conditions, too much information is produced due to momentary plant excursions above alarm limits. This flood of information impedes correct interpretation and correction of plant conditions by the operator. Existing techniques for the design of alarm systems mostly have weak ability to handle complex hazard scenarios and increase the probability of larger safety issues. In this paper, a comprehensive alarm information processing (AIP) technology is introduced, called multi-round alarm management system (MRAMS), including several processing strategies: AIP based on single sensor, AIP based on sensor group, root cause diagnosis based on Bayesian network, sensor fault judgment method and false alarm inhibition method. In case studies, both simulation experiment and pilot application on a real petrochemical plant are presented. Results indicate the MRAMS is helpful in improving the accuracy of correctly diagnosing the root causes and hence avoiding false and redundant alarms. By adopting this new technology, the safe and reliable operation of the plant can be achieved, and the economic loss brought by improper alarms can be reduced.     

The Grain of Spatially Referenced Economic Cost and Biodiversity Benefit Data and the Effectiveness of a Cost Targeting Strategy

Facing tight resource constraints, conservation organizations must allocate funds available for habitat protection as effectively as possible. Often, they combine spatially referenced economic and biodiversity data to prioritize land for protection. We tested how sensitive these prioritizations could be to differences in the spatial grain of these data by demonstrating how the conclusion of a classic debate in conservation planning between cost and benefit targeting was altered based on the available information. As a case study, we determined parcel‐level acquisition costs and biodiversity benefits of land transactions recently undertaken by a nonprofit conservation organization that seeks to protect forests in the eastern United States. Then, we used hypothetical conservation plans to simulate the types of ex ante priorities that an organization could use to prioritize areas for protection. We found the apparent effectiveness of cost and benefit targeting depended on the spatial grain of the data used when prioritizing parcels based on local species richness. However, when accounting for complementarity, benefit targeting consistently was more efficient than a cost targeting strategy regardless of the spatial grain of the data involved. More pertinently for other studies, we found that combining data collected over different spatial grains inflated the apparent effectiveness of a cost targeting strategy and led to overestimation of the efficiency gain offered by adopting a more integrative return‐on‐investment approach.     

Investment and the Policy Process in Conservation Monitoring

Despite decades of discussion and implementation, conservation monitoring remains a challenge. Many current solutions in the literature focus on improving the science or making more structured decisions. These insights are important but incomplete in accounting for the politics and economics of the conservation decisions informed by monitoring. Our novel depiction of the monitoring enterprise unifies insights from multiple disciplines (conservation, operations research, economics, and policy) and highlights many underappreciated factors that affect the expected benefits of monitoring. For example, there must be a strong link between the specific needs of decision makers and information gathering. Furthermore, the involvement of stakeholders other than scientists and research managers means that new information may not be interpreted and acted upon as expected. While answering calls for sharply delineated objectives will clearly add focus to monitoring efforts, for practical reasons, high‐level goals may purposefully be left vague, to facilitate other necessary steps in the policy process. We use the expanded depiction of the monitoring process to highlight problems of cooperation and conflict. We critique calls to invest in monitoring for the greater good by arguing that incentives are typically lacking. Although the benefits of learning accrued within a project (e.g., improving management) provide incentives for investing in some monitoring, it is unrealistic, in general, to expect managers to add potentially costly measures to generate shared benefits. In the traditional linear model of the role of science in policy decisions, monitoring reduces uncertainty and decision makers are rational, unbiased consumers of the science. However, conservation actions increasingly involve social conflict. Drawing insights from political science, we argue that in high‐conflict situations, it is necessary to address the conflict prior to monitoring. Las Inversiones y el Proceso de Políticas en el Monitoreo de la Conservación Sanchirico et al.     

Designing individualisation of eco information: a conceptual framework and design toolkit

Eco-labelling is the practice of eco information provision that most directly addresses consumer behaviour. Nowadays, consumers are facing difficulties in perceiving and understanding existing eco labels. In previous work, we proposed the conceptual framework of eco information individualisation which tailors eco labels according to the specific needs of individual users using contextual technologies. This paper extends the conceptual framework by introducing a more structured way of considering the personal data and product data requirements, and reports the development of a design toolkit that aims to support designers in the designing of individualised eco information. A design workshop was carried out to introduce the concept to designers, and evaluate the usability and usefulness of the toolkit. Positive responses were received. The design outputs generated from the workshop were considered largely feasible and have the potential to be developed into digital prototypes. These indicate that it is possible for designers to learn to design eco information individualisation in a short time. This paper is a step towards a greater understanding of designing individualised eco information.