基于顶板离层监测的锚固巷道稳定性控制

在提出顶板离层概念的基础上 ,对顶板离层与锚固系统的变形协调条件以及离层临界值、失稳临界值及工程估计值的确定进行了分析 ;通过实例 ,说明了离层监测与反馈的应用 ;工程实践表明 ,采用顶板离层监测是锚固巷道稳定性控制的简易技术手段 ,其技术经济效果明显 ,是一种值得推广的实用方法     

Autonomous real-time adaptive management of soil salinity using a receding horizon control algorithm: a pilot-scale demonstration

Soil salinization is a potentially negative side effect of irrigation with reclaimed water. While optimization schemes have been applied to soil salinity control, these have typically failed to take advantage of real-time sensor feedback. This study incorporates current soil observation technologies into the optimal feedback-control scheme known as Receding Horizon Control (RHC) to enable successful autonomous control of soil salinization. RHC uses real-time sensor measurements, physically-based state prediction models, and optimization algorithms to drive field conditions to a desired environmental state by manipulating application rate or irrigation duration/frequency. A simulation model including the Richards equation coupled to energy and solute transport equations is employed as a state estimator. Vertical multi-sensor arrays installed in the soil provide initial conditions and continuous feedback to the control scheme. An optimization algorithm determines the optimal irrigation rate or frequency subject to imposed constraints protective of soil salinization. A small-scale field test demonstrates that the RHC scheme is capable of autonomously maintaining specified salt levels at a prescribed soil depth. This finding suggests that, given an adequately structured and trained simulation model, sensor networks, and optimization algorithms can be integrated using RHC to autonomously achieve water reuse and agricultural objectives while managing soil salinization.     

战略环境影响评价中公众参与方法研究与案例分析

公众参与有效性是衡量战略环境影响评价质量的一个重要指标,它对于提高环境管理水平具有重要的意义。本文在对比项目环境影响评价的基础上,系统阐述了战略环境影响评价公众参与的内容、对象、方式、时机、实施主体、数据处理及信息反馈,初步建立了战略环境影响评价公众参与的方法与体系,并结合典型案例进行了战略环境影响评价公众参与的过程分析。     

Beyond water data: benefits to volunteers and to local water from a citizen science program

Survey results of citizen science water data collection volunteers are presented, indicating personal benefits (e.g., being in nature, helping local water quality), and suggesting potential long-term benefits of improved watershed health (e.g., behavior change). These results can inform citizen science program development and contribute to watershed planners’ understanding of the broad benefits of such programs. We suggest that respondents’ positive feelings toward the watershed's major river and desire to learn about science and nature are place-specific elements that watershed and citizen science program managers could utilize in program development. Moreover, we explore the potential of social diffusion and behavior change and suggest the need for further research in these areas. We conclude that citizen science has potential not just as a means to collect large amounts of data (cheaply), but as a means to engage citizens to make environmentally friendly decisions.     

生态文明建设的善治结构:三明治模型

在评析西方社会变革"三明治模型"的基础上,将其扩展应用于生态文明建设。借鉴西方社会变革的成功经验,基于我国实际构建生态文明建设的善治结构设计,构建了由生态政府、生态社会和生态公民协同至善的"三明治模型",并详细阐述了这一模型的动态演进过程和治理运行机制,为深化这一领域的研究提供了新视角和新思路。在生态文明建设的善治结构中,生态政府的重要职责是增强国家力量,生态企业发挥主责作用,生态公民的草根运动则是最广泛的基础。     

基于反馈式突变进化算法的空气质量评价公式

在设定了各指标的极限浓度限值基础上,提出了一个适用于多项空气污染物的空气质量评价的幂函数加和型综合指数公式。将反馈式突变进化算法用于公式中的参数优化,得出优化后适用于多项污染物的空气质量评价普适指数公式。公式应用于多个实例分析评价,并与其它多种评价方法的评价结果相比较。结果表明:该公式不受污染物种类和数目多少限制,计算简便,具有可比性、普适性和实用性。     

系统思考在企业安全管理中的应用探讨

结合系统思考的内涵和企业安全管理的特点,提出了一个企业安全管理的系统思考模型。模型集中体现了系统思考的核心理念,用整体动态思考的方法审视系统要素及其之间的关系。在系统的动态反馈和系统学习中．让管理者对安全系统的结构及其行为的动态变化进行整体上的把握．以便进行有用的模拟和分析,达到有效的事故预防和控制。     

Site‐Occupancy Distribution Modeling to Correct Population‐Trend Estimates Derived from Opportunistic Observations

Abstract: Species’ assessments must frequently be derived from opportunistic observations made by volunteers (i.e., citizen scientists). Interpretation of the resulting data to estimate population trends is plagued with problems, including teasing apart genuine population trends from variations in observation effort. We devised a way to correct for annual variation in effort when estimating trends in occupancy (species distribution) from faunal or floral databases of opportunistic observations. First, for all surveyed sites, detection histories (i.e., strings of detection–nondetection records) are generated. Within‐season replicate surveys provide information on the detectability of an occupied site. Detectability directly represents observation effort; hence, estimating detectablity means correcting for observation effort. Second, site‐occupancy models are applied directly to the detection‐history data set (i.e., without aggregation by site and year) to estimate detectability and species distribution (occupancy, i.e., the true proportion of sites where a species occurs). Site‐occupancy models also provide unbiased estimators of components of distributional change (i.e., colonization and extinction rates). We illustrate our method with data from a large citizen‐science project in Switzerland in which field ornithologists record opportunistic observations. We analyzed data collected on four species: the widespread Kingfisher (Alcedo atthis) and Sparrowhawk (Accipiter nisus) and the scarce Rock Thrush (Monticola saxatilis) and Wallcreeper (Tichodroma muraria). Our method requires that all observed species are recorded. Detectability was <1 and varied over the years. Simulations suggested some robustness, but we advocate recording complete species lists (checklists), rather than recording individual records of single species. The representation of observation effort with its effect on detectability provides a solution to the problem of differences in effort encountered when extracting trend information from haphazard observations. We expect our method is widely applicable for global biodiversity monitoring and modeling of species distributions.