Rapid estimation of compost enzymatic activity by spectral analysis method combined with machine learning

The aim of this study was to investigate the feasibility of using visible near-infrared (VisNIR) diffuse reflectance spectroscopy (DRS) as an easy, inexpensive, and rapid method to predict compost enzymatic activity, which traditionally measured by fluorescein diacetate hydrolysis (FDA-HR) assay. Compost samples representative of five different compost facilities were scanned by DRS, and the raw reflectance spectra were preprocessed using seven spectral transformations for predicting compost FDA-HR with six multivariate algorithms. Although principal component analysis for all spectral pretreatments satisfactorily identified the clusters by compost types, it could not separate different FDA contents. Furthermore, the artificial neural network multilayer perceptron (residual prediction deviation = 3.2, validation r² = 0.91 and RMSE = 13.38 μg g^?1 h^?1) outperformed other multivariate models to capture the highly non-linear relationships between compost enzymatic activity and VisNIR reflectance spectra after Savitzky–Golay first derivative pretreatment. This work demonstrates the efficiency of VisNIR DRS for predicting compost enzymatic as well as microbial activity.     

精神熵分析法的提出及应用

随着机械、电子器件可靠性的不断提高,系统的安全性越来越取决于人的行为。当人处于不良的精神状态,就可能做出本人意愿之外的失误,从而导致事故的发生。因此,针对人的无意识失误进行分析并提出改进措施,可以提高系统的安全水平,降低事故风险。本文提出的精神熵分析方法,以安全学原理、心理学、安全人机工程学为基础提出六个评价指标,结合熵权法的计算原理。通过班组人员岗前自评的形式,员工给出六项指标的分数,并计算自己的最终得分,以此来评估员工在岗时的精神状态。管理者依据一定原则对低分项进行询问,发现问题并提出解决办法,最终降低并控制无意识失误导致的事故风险。     

Using social resilience and resource dependency to increase the effectiveness of marine conservation initiatives in Salum,Egypt

The social and economic ramifications of marine conservation strategies such as marine protected areas (MPAs) are important to consider prior to their implementation to ensure that they do not exceed the resilience of resource-users and that resource protection might be maximised through compliance and low resistance. This paper presents a framework in which the human dimensions can be more easily and usefully integrated into the design and delivery of conservation initiatives. The framework espouses quantifying (1) the level of dependency on the resource; (2) perceptions towards conservation initiatives; and (3) social resilience. The framework is applied in Salum, Egypt, which is the site of a prospective MPA.     

Uncertainties in the assessment of “significant effect” on the Dutch Natura 2000 Wadden Sea site – The mussel seed fishery and powerboat race controversies

Natura 2000, the nature network based on the European Bird and Habitat Directives, is explicitly grounded on ecological science. To acquire a permit under the Dutch Nature Conservation Act, an appropriate assessment of significant effects must be conducted based on the best available scientific knowledge. In this way the scientific and policy world are directly linked. This article focuses on ‘significant effect’ as a boundary object to analyse how science–policy interactions shape the meaning and assessment of significant effect and how these interpretations influence the decision-making process. To this end, two conflicts over significant effect are investigated: the conflict over the 2006-spring permit for the mussel seed fishery, and the 2011 permit for the planned World Championship powerboat races. In both cases nature organisations started a court process against the government-granted permits in protest to the “no significant effect” claim, stating that there was insufficient certainty for this conclusion. These conflicts are approached as controversies between discourse coalitions with different interpretations of the ecological knowledge. We show how significant effect became a focal point in the controversies, limiting the debate to ecological arguments and science-based expertise, but also creating options for parties to advance their protest by articulating uncertainties. Only uncertainty of incomplete knowledge was explicitly addressed, excluding ambiguity of values and unpredictability of the actual ecosystem. We suggest that acknowledging the value aspect in disputes on significant effect would leave more space for effective solutions of the problems under debate.     

油气管道第三方施工损伤风险控制方法研究

针对当前油气管道运行的现状指出第三方施工损伤风险控制的紧迫性,根据第三方施工损伤风险辨识的内容,以及油气管道第三方施工损伤风险评估中人为因素分析理论,阐述第三方施工损伤风险的影响因素,通过计算各因素的灰色关联度辨识出了第三方损伤风险的主控因素,并提出了第三方施工损伤风险控制方法.     

企业员工个体安全行为的人类动力学实证研究

对员工不安全行为的定量分析是理解安全生产事故复杂系统的基础.班组或群体的集体行为往往表现为复杂有序,具有一定的稳定性和适应性;而个体行为尽管有企业制度和纪律的约束,却仍有很大的随机性.为了探究企业员工不安全行为的动力学规律,跟踪观察某大型企业作业员工930 d,将员工相继不安全行为的发生看作排队理论中具有特定时间序列的随机过程.结果表明,就员工个体而言,其不安全行为的间隔时间分布可以用幂律函数近似描述,且幂指数和员工的活跃程度正相关;并进一步分析出企业员工相继不安全行为具有以艾宾浩斯遗忘曲线为特点的“阵发”性;从幂指数角度分析了员工日常作业中的不安全行为的优劣特点,比较了人类活动中的各种随机行为与员工在企业生产中的不安全行为在时间统计上的特性.这表明企业制定安全管理制度及实施安全培训工作都应从人类普遍问题和员工个体特点两方面入手.     

基于SEM的机组资源管理对机组人为差错的影响研究

为研究机组资源管理对机组人为差错的影响,以沟通和交流、领导管理技能、监控/质询、情景意识、决策及工作负荷作为机组资源管理变量,将人为差错分为认知差错和操作差错,利用230份飞行员的问卷调查数据,采用结构方程模型(SEM)的方法,构建有关机组资源管理与机组认知差错及操作差错关系的结构方程模型.结果表明:沟通和交流与操作差错显著相关;领导管理技能与认知差错及操作差错显著相关;监控/质询与认知差错及操作差错显著相关;情景意识与认知差错及操作差错显著相关;决策与操作差错显著相关;工作负荷与认知差错及操作差错显著相关;认知差错与操作差错显著相关.根据上述影响关系提出了建设团队氛围、培养机组成员的协同工作和加强机组成员的情景意识保持能力等措施.     

Unveiling soil degradation and desertification risk in the Mediterranean basin: a data mining analysis of the relationships between biophysical and socioeconomic factors in agro-forest landscapes

Soil degradation and desertification processes in the Mediterranean basin reflect the interplay between environmental and socioeconomic drivers. An approach to evaluate comparatively the multiple relationships between biophysical variables and socioeconomic factors is illustrated in the present study using the data collected from 586 field sites located in five Mediterranean areas (Spain, Greece, Turkey, Tunisia and Morocco). A total of 47 variables were chosen to illustrate land-use, farm characteristics, population pressure, tourism development, rainfall regime, water availability, soil properties and vegetation cover, among others. A data mining approach incorporating non-parametric inference, principal component analysis and hierarchical clustering was developed to identify candidate syndromes of soil degradation and desertification risk. While field sites in the same study area showed a substantial similarity, the multivariate relationship among variables diverged among study areas. Data mining techniques proved to be a practical tool to identify spatial determinants of soil degradation and desertification risk. Our findings identify the contrasting spatial patterns for biophysical and socioeconomic variables, in turn associated with different responses to land degradation.     

A Bayesian network highlighting the linkages between landscape structure and the local economy: the case of agritourism in lowland areas of Northern Italy

Linking landscapes to socio-economic benefits necessarily requires considering the usability of landscape structure. To do so, however, depends on the interaction between users and producers of landscape-related services. We illustrate this interaction with a Bayesian Belief Network (BBN) in a case study analysing the connection between residents' perceptions of landscape structure and agritourism restaurants in the eastern lowlands of Ferrara (Italy). We use estimates of prior and conditional probabilities from a mix of different data: land use, survey data, regional statistics, and expert judgements to show the likely effects of the landscape structure on the local economy by using intermediate forms of services (i.e. second-order services). The second-order service is highly influenced by the agritourism density and by the frequency with which customers dine at agritourism restaurants and less by landscape attractiveness, confirming the importance of the supply and demand of second-order services in the provision of landscape-related services.     

重庆金佛山降雪中飞灰单颗粒特征及来源解析

大气降雪能够保存大气环境信息,是研究区域环境的良好介质.位于渝黔交接带的金佛山海拔2 251.1 m,冬季降水以降雪的形式出现,周边区域人类活动强烈.关于该区域大气气溶胶中的飞灰单颗粒特征的研究比较缺乏.本研究采集了金佛山5个降雪样品,运用扫描电镜及X能谱分析联用系统(SEM-EDS)对样品中的132个飞灰进行单颗粒形貌、化学组成分析.结果表明,研究区降雪中存在大量球形飞灰,包含光滑颗粒、粗糙颗粒及聚合体颗粒3种形态,分别占统计颗粒的80.31%、14.39%和5.30%;平均粒径1.64μm,平均环度1.09.按主导化学元素分为富硅类、富碳类、富铁类、富铝类及富钛类5种,所占比例分别为34.09%、49.24%、12.88%、2.27%和1.52%.结合气象资料、气团后向运移轨迹和飞灰性质,推测富碳类飞灰可能主要来自于生活排放源和工业活动;富硅类飞灰可能来自于渝西、黔北、湘中、浙赣一带及粤西的火力发电厂等高温燃煤工业;富铁类及富钛类飞灰则可能来源于渝西和黔北、湘中的钢铁厂、轧钢厂等金属冶炼活动.