多属性直觉模糊容差粗糙集模型

在直觉模糊信息系统的背景下提出了基于容差关系的直觉模糊粗糙集模型,从乐观悲观两个角度出发对目标集进行刻画,是对目标集的一种新的逼近方法,同时,可以发现乐观与悲观上下近似的关系.通过求解近似精度可以发现乐观直觉模糊粗糙集模型的近似精度更高.最后给出实证分析,进一步验证结论的有效性.     

Three-dimensional delineation of soil pollutants at contaminated sites: Progress and prospects

Journal of Geographical Sciences - The precision remediation and redevelopment of contaminated sites are crucial issues for improving the human settlement and constructing a beautiful China....     

A meshless method for axisymmetric problems in continuously nonhomogeneous saturated porous media

A meshless method based on the local Petrov–Galerkin approach is proposed to analyze 3-d axisymmetric problems in porous functionally graded materials. Constitutive equations for porous materials possess a coupling between mechanical displacements for solid and fluid phases. The work is based on the u–u formulation and the incognita fields of the coupled analysis in focus are the solid skeleton displacements and the fluid displacements. Independent spatial discretization is considered for each phase of the model, rendering a more flexible and efficient methodology. Both displacements are approximated by the moving least-squares (MLS) scheme. The paper presents in the first time a general meshless method for the numerical analysis of axisymmetric problems in continuously nonhomogeneous saturated porous media. Numerical results are given for boreholes in continuously nonhomogeneous porous medium with prescribed misfit and exponential variation of material parameters in the excavation zone.     

基本气流的垂直切变对热带行星尺度大气波动的影响

通过一个赤道β平面上的绝热无摩擦的两层模式,讨论了线性垂直切变的纬向基本气流对热带行星尺度大气波动的影响。在长波近似下,当有纬向基本气流垂直切变时,可得到与东传Kelvin波和西传Rossby波对应的不稳定模态。对不稳定的Kelvin波模态,其相速受垂直切变的影响不大,而对不稳定的Rossby波模态,切变越大,西传速度越小。基本气流的垂直切变主要影响热带Rossby波。     

基于DBI和稀疏轨迹数据的交通状态精细划分与识别

浮动车轨迹数据已逐渐成为城市交通状态识别的主要数据源之一,但是现有基于浮动车轨迹数据的交通状态识别中多数是应用高精度或是多源轨迹数据。针对稀疏轨迹数据在城市交通状态识别中存在识别精度不高的问题,本文提出一种结合戴维森堡丁指数（DBI）和轨迹相似性度量的动态交通状态划分方法。首先,对轨迹数据和路网数据进行预处理并且建立不同时间片的路段轨迹集合;接着,依据轨迹速度-空间相似性,利用戴维森堡丁指数动态地扩展轨迹的空间维度,并根据轨迹相似性度量方法构建最佳车辆队列;然后,将前后不同的车辆队列进行二次处理,连接组成交通流簇;最后,基于模糊C均值聚类方法将交通流进行划分,实现路段交通状态的识别。采用厦门市厦禾路、湖滨西路和湖滨南路交叉路段上的真实出租车轨迹数据进行测试,结果表明,本文所提方法保证了车辆队列速度分布与原始轨迹速度分布基本一致,相比对比方法Kmeans++和ST-DBSCAN,本文方法均方根误差平均下降了18.77%和21.22%,并且在不同的实验路段表现更加稳定,可有效、可靠地运用稀疏轨迹数据识别城市交通状态,进而实现城市交通状态的精细分析。     

The role of disaggregated renewable energy consumption on income and load capacity factor: A novel inclusive sustainable growth approach

Stimulating renewable energy consumption is a major focus of the Sustainable Development Goals in combating climate change and global warming. The International Energy Agency estimates that renewable energy consumption should be doubled to achieve the COP21 targets. In this context, the question is whether renewable energy types promote the improvement of ecological quality and economic growth. Most studies have investigated the influence of renewable energy on ecological pollution using carbon dioxide emissions or ecological footprint indicators, which only represent the pollution caused by human consumption patterns, and these indicators neglect the supply side. Motivated by this point, this study uses the LCF (Load Capacity Factor) as an environmental indicator and examines the causality relationship among different types of renewable energy, income, and environmental quality in the USA, while also incorporating employment and capital stock into the analysis. Through using the Fourier causality test with the wavelet-decomposed series, the study explores for the validity of the renewable energy-based growth hypothesis and answers to the question of whether there is a causal effect of renewable energy types on environmental quality. The results demonstrate that there is a bidirectional causality between total renewable energy, wood, biomass, and economic growth as well as between these renewable energy types and the LCF.