Fractal generation of surface area of porous media

Many natural porous geological rock formations, as well as engineered porous structures, have fractal properties, i.e., they are self-similar over several length scales. While there have been many experimental and theoretical studies on how to quantify a fractal porous medium and on how to determine its fractal dimension, the numerical generation of a fractal pore structure with predefined statistical and scaling properties is somewhat scarcer. In the present paper a new numerical method for generating a three-dimensional porous medium with any desired probability density function (PDF) and autocorrelation function (ACF) is presented. The well-known Turning Bands Method (TBM) is modified to generate three-dimensional synthetic isotropic and anisotropic porous media with a Gaussian PDF and exponential-decay ACF. Porous media with other PDF's and ACF's are constructed with a nonlinear, iterative PDF and ACF transformation, whereby the arbitrary PDF is converted to an equivalent Gaussian PDF which is then simulated with the classical TBM. Employing a new method for the estimation of the surface area for a given porosity, the fractal dimensions of the surface area of the synthetic porous media generated in this way are then measured by classical fractal perimeter/area relationships. Different 3D porous media are simulated by varying the porosity and the correlation structure of the random field. The performance of the simulations is evaluated by checking the ensemble statistics, the mean, variance and ACF of the simulated random field. For a porous medium with Gaussian PDF, an average fractal dimension of approximately 2.76 is obtained which is in the range of values of actually measured fractal dimensions of molecular surfaces. For a porous medium with a non-Gaussian quadratic PDF the calculated fractal dimension appears to be consistently higher and averages 2.82. The results also show that the fractal dimension is neither strongly dependent of the porosity nor of the degree of anisotropy assumed.     

Has climate change driven spatio-temporal changes of cropland in northern China since the 1970s?

Improving the understanding of cropland change and its driving factors is a current focus for policy decision-makers in China. The datasets of cropland and cropland changes from the 1970s to the 2000s were used to explore whether climate change has produced spatio-temporal changes to cropland in northern China since the 1970s. Two representative indicators of heat and water resources, which are important determinants of crop growth and productivity, were considered to track climate change, including active accumulated temperatures ≥10 °C (AAT10) and the standardized precipitation evapotranspiration index (SPEI). Our results showed that rapid cropland change has occurred in northern China since the 1970s, and the area of cropland reclamation (10.23 million ha) was much greater than that of abandoned cropland (2.94 million ha). In the 2000s, the area of cropland with AAT10 higher than 3,000 °C·d increased, while the area of cropland with an SPEI greater than 0.25 decreased compared to the 1970s, 1980s and 1990s. It appears that climate warming has provided thermal conditions that have aided rapid cropland reclamation in northern China since the 1970s, and drier climatic conditions did not become a limiting factor for cropland reclamation, especially from the 1990s to the 2000s. Approximately 70 % of cropland reclamation areas were located in warmer but drier regions from the 1990s to the 2000s, and approximately 40 % of cropland abandonment occurred in warmer and wetter conditions that were suitable for agriculture during the periods from the 1970s to the 1980s and the 1990s to the 2000s. Our results suggest that climate change can be considered a driving factor of cropland change in the past several decades in northern China, in addition to socioeconomic factors.     

Compression behavior of MICP-treated sand with various gradations

Acta Geotechnica - One-dimensional compression tests on quartz sands treated by microbially induced carbonate precipitation (MICP) were carried out to evaluate the effects of gradation and calcium...     

Typhoon frequency sequence reconstruction and characteristics analysis in the Southeast Coastal Area over China during the Ming and Qing dynasties

Natural Hazards - This study involved the systematic collation of historical data from local records, government records, etc., as well as disaster data compiled by contemporary researchers....     

矿山边坡稳定性研究的回顾与展望

本文阐述了露天矿边坡工程的特点, 回顾了露天矿边坡稳定性研究及其取得的理论成果和进展, 指出露天矿边坡稳定性研究的特点, 提出相应的研究技术路线与方法。     

复杂风况条件下戈壁输沙量变化规律的研究

 戈壁输沙量与输沙势的定量关系一直是风沙地貌及风沙工程的关键科学问题之一。对莫高窟顶戈壁输沙量的长期监测（2008年5月至2009年4月）结果表明,窟顶戈壁输沙势为129VU,窟顶北侧的总输沙量约905 kg·m-1左右。其中,偏东风输沙量达500 kg·m-1,偏西风输沙量达320 kg·m-1。当风速大于11 m·s-1时,戈壁风沙发生长距离的输送,偏西风可将265 kg·m-1的沙量输送到窟区,偏东风可将410 kg·m-1的沙量吹回到鸣沙山。根据本区偏东风强盛,且偏东风戈壁输沙量大于偏西风输沙量的特点,提出了以固为主,输导结合的莫高窟风沙防治的主导思路。认为在窟顶构建一个既能阻截沙物质,又能对阻截的沙物质进行输导的人工戈壁床面是完全可行的。     

Hadoop环境下基于SparkSQL海量自动站数据查询统计初探

在Hadoop分布式计算和存储架构下,自定义ETL数据清洗规则将海量自动站小时单站文件按所属年和站号合并为大文件流转存储至HDFS中,并运用SparkSQL并行计算框架进行统计处理生成常用气象要素日统计值。结果表明,数据处理和获取时效较关系型数据库方式有显著提升。采用SparkSQL并行计算框架对多气象要素多站点和长时间序列进行数据统计处理查询均能达到秒级别响应,并随着统计站点数的不断增加和时间跨度的延长其优势更为明显,能更高效地支撑此类气象数据服务,为海量气象数据处理从关系型数据库到大数据分布式架构的转换处理提供了新思路。     

GPS与GIS集成在工程机械系统中的应用

在讨论GPS(全球卫星定位系统)与GIS(地理信息系统)集成在工程机械系统中应用的基础上,探讨了系统中电子地图的空间数据组织,卫星定位系统的组成、原理及特点.