Predicting landslide sliding distance based on energy dissipation and mass point kinematics

Natural Hazards - Based on classical mechanics and the law of energy conservation, we present a model for predicting landslide sliding distance. We conceptualize landslide movement as the movement...     

Urban flood susceptibility analysis using a GIS-based multi-criteria analysis framework

Natural Hazards - Pluvial flooding is a common type of natural hazard caused by rainfall events with high intensity and short duration, which may lead to substantial property damages,...     

Disaster risk evaluation using factor analysis: a case study of Chinese regions

Natural Hazards - Regional risk to natural disasters is a critical multi-criteria decision-making (MCDM) problem in the literature due to the complicated and usually conflicting evaluation index...     

‘Box‐Profile’ Ion Implants as Geochemical Reference Materials for Electron Probe Microanalysis and Secondary Ion Mass Spectrometry

Although electron probe microanalysis and secondary ion mass spectrometry are widely used analytical techniques for geochemical and mineralogical applications, metrologically rigorous quantification remains a major challenge for these methods. Secondary ion mass spectrometry (SIMS) in particular is a matrix‐sensitive method, and the use of matrix‐matched reference materials (RMs) is essential to avoid significant analytical bias. A major problem is that the number of available RMs for SIMS is extremely small compared with the needs of analysts. One approach for the production of matrix‐specific RMs is the use of high‐energy ion implantation that introduces a known amount of a selected isotope into a material. We chose the more elaborate way of implanting a so‐called ‘box‐profile’ to generate a quasi‐homogeneous concentration of the implanted isotope in three dimensions, which allows RMs not only to be used for ion beam analysis but also makes them suitable for EPMA. For proof of concept, we used the thoroughly studied mineralogically and chemically ‘simple’ SiO₂ system. We implanted either ⁴⁷Ti or ⁴⁸Ti into synthetic, ultra‐high‐purity silica glass. Several ‘box‐profiles’ with mass fractions between 10 and 1000 μg g^?1 Ti and maximum depths of homogeneous Ti distribution between 200 nm and 3 μm were produced at the Institute of Ion Beam Physics and Materials Research of Helmholtz‐Zentrum Dresden‐Rossendorf. Multiple implantation steps using varying ion energies and ion doses were simulated with Stopping and Range of Ions in Matter (SRIM) software, optimising for the target concentrations, implantation depths and technical limits of the implanter. We characterised several implant test samples having different concentrations and maximum implantation depths by means of SIMS and other analytical techniques. The results show that the implant samples are suitable for use as reference materials for SIMS measurements. The multi‐energy ion implantation technique also appears to be a promising procedure for the production of EPMA‐suitable reference materials.     

电容去离子化去除地下水中镉的影响因素

以高比表面积活性炭作为吸附剂制备电容电极,研究电容去离子化（CDI）对地下水中镉的吸附性能。分别探讨了镉初始质量浓度、体系供电电压、地下水中常见阳离子种类对CDI去除镉的影响。结果表明,CDI吸附镉符合准二级吸附动力学、满足Langmuir等温吸附方程,CDI对镉的吸附为单分子层吸附。吸附量随镉初始质量浓度的升高而增加;在低质量浓度时,较高的供电电压会提高初始阶段的吸附速率,但对电极的最终吸附量无显著影响;地下水中主要阳离子的存在增加了体系的电导率,从而促进了CDI对镉的吸附,提高了镉的吸附速率和去除率。     

Co-production of Tight Gas and Coalbed Methane from Single Wellbore: a Simulation Study from Northeastern Ordos Basin,China

Natural Resources Research - Focusing on vertical multi-layer superimposition of unconventional natural gas reservoirs in coal-bearing strata, research on the co-production of tight gas and coalbed...     

Remote Sensing Inversion for Simulation of Soil Salinization Based on Hyperspectral Data and Ground Analysis in Yinchuan,China

The Pingluo area, as an experimental study area in Yinchuan, has been subjected to major environmental degradation due to soil salinization problems. Soil salinization is one of the main problems of land degradation in arid and semiarid regions. In the present study, remote sensing was integrated with mathematical modeling to evaluate soil salinization adequately. To detect soil salinization, soil water content and electrical conductivity of soil samples were analyzed. The reflectance of soil samples was measured using a spectrometer (SR-3500) with 1024 bands. Indices of soil salinity, vegetation and drought were analyzed using Landsat images over the study area. Based on Landsat images, physicochemical analysis, reflectance of sensitive bands for soil salinization and environmental indices, canopy response salinity index (CRSI), perpendicular drought index (PDI) and enhanced normalized difference vegetation index (ENDVI), a new model was established for simulation and prediction of soil salinization in the study area. Correlation analyses and multiple regression methods were used to construct an accurate model. The results showed that green, blue and near-infrared light was significantly correlated with soil salinity and that the spectral parameters improved this correlation significantly. Therefore, the model was more effective when combining spectral parameters with sensitive bands with modeling. After mathematical transformation of soil reflectance, the correlations of bands sensitive to soil salinization were 0.739 and 0.7 for electrical conductivity and water content, respectively. After transformation of vegetation reflectance, the correlation coefficient of soil salinity became 0.577. After inversion of the model based on soil hyperspectral and water content, the significance became 0.871 and 0.726, respectively, which can be used to predict soil salinity and water content. The spectral soil salinity model had a coefficient of 0.739 for soil salinity prediction. Among the salinity indices, the CRSI was selected as the most significant, with R² of 0.571, whereas the R² for PDI reached only 0.484. Among the vegetation indices, the ENDVI had the highest response to soil salinity, with R² of 0.577. After scale conversion, the correlation percentages between CRSI and measured soil salinity and between ENDVI and measured soil salinity increased to 16.2% and 8.5%, respectively. Following the correlation between PDI and soil water content, the percentage of correlation increased to 11.6%. The integration of hyperspectral remote sensing, ground methods and an inversion method for salinity is a very important and effective technique for rapid and nondestructive monitoring of soil salinization.

     

地方小吃空间扩散格局与模式——基于中国四大知名地方小吃POI数据的研究

以中国四大知名地方小吃门店兴趣点（POI）大数据为主要数据源,基于密度、距离与加权平均中心方法分析地方小吃空间集聚与扩散格局,采用空间自相关、聚类和异常值分析以及热点分析方法研究地方小吃空间集聚关联特征以及空间扩散模式。结果表明：① 地方小吃在不同尺度上的空间扩散格局存在显著差异,东部地区和中西部省会城市是地方小吃的主要集聚地;② 地方小吃的空间集聚表现出自相关特征,邻域扩散、等级扩散和跳跃式扩散等扩散模式相互融合;③ 地方小吃空间扩散的冷热点集聚区分异明显,反映出不同小吃认可群体范围的差异以及中国各地饮食习惯的空间分异;④ 饮食文化扩散与人口迁移扩散具有空间重合性,经济发展水平较高、人口净流入地区对不同饮食文化的包容性较强。     

地理核心素养视角下县级博物馆研学旅行课程设计——以曲周博物馆为例

研学旅行课程设计是开展研学旅行的必要前提,结合博物馆展品设计博物馆研学旅行课程,是满足当前县级中小学在本地开展研学旅行刚需的可行途径。利用地理核心素养与县级博物馆研学旅行课程之间的契合之处,从地理核心素养的视角解读馆藏展品,并以县级的曲周博物馆为例进行课程设计。经过反思发现,博物馆展品是研学旅行课程设计的根本,博物馆科研成果决定研学旅行课程质量,博物馆本应成为区域研学旅行的集散地,博物馆联动促进区域研学旅行向纵深发展。     

Optimizing GPS-guidance transit route for cable crane collision avoidance using artificial immune algorithm

GPS Solutions - A cable crane collision accident usually causes serious damage to workers, equipment and materials. Owing to the emergence of global position system (GPS), some new collision...