Relationships between fractal road and drainage networks in Wuling mountainous area: Another symmetric understanding of human-environment relations

Symmetrical relationships between humans and their environment have been referred to as an extension of symmetries in the human geographical system and have drawn great attention. This paper explored the symmetry between physical and human systems through fractal analysis of the road and drainage networks in Wuling mountainous area. We found that both the road and drainage networks reflect weak clustering distributions. The evolution of the road network shared a significant self-organizing composition, while the drainage network showed obvious double fraetal characteristics. The geometric fractal dimension of the road network was larger than that of the drainage network. In addition, when assigned a weight relating to hierarchy or length, neither the road network nor drainage network showed a fractal property. These findings indicated that the fractal evolution of the road network shared certain similarities with fractal distribution of the drainage network. The symmetry between the two systems resulted from an interactive process of destroying symmetry at the lower order and reconstructing symmetry at the higher order. The relationships between the fractal dimensions of the rural-urban road network, the drainage network andthe urban system indicated that the development of this area was to achieve the symmetrical isomorphism of physical-human geographical systems.     

Geometric-based approach for integrating VGI POIs and road networks

Integrating heterogeneous spatial data is a crucial problem for geographical information systems (GIS) applications. Previous studies mainly focus on the matching of heterogeneous road networks or heterogeneous polygonal data sets. Few literatures attempt to approach the problem of integrating the point of interest (POI) from volunteered geographic information (VGI) and professional road networks from official mapping agencies. Hence, the article proposes an approach for integrating VGI POIs and professional road networks. The proposed method first generates a POI connectivity graph by mining the linear cluster patterns from POIs. Secondly, the matching nodes between the POI connectivity graph and the associated road network are fulfilled by probabilistic relaxation and refined by a vector median filtering (VMF). Finally, POIs are aligned to the road network by an affine transformation according to the matching nodes. Experiments demonstrate that the proposed method integrates both the POIs from VGI and the POIs from official mapping agencies with the associated road networks effectively and validly, providing a promising solution for enriching professional road networks by integrating VGI POIs.     

Spatiotemporal patterns of road network and road development priority in three parallel rivers region in Yunnan, China: An evaluation based on modified kernel distance estimate

Road network is a critical component of public infrastructure,and the supporting system of social and economic development.Based on a modified kernel density estimate(KDE)algorithm,this study evaluated the road service capacity provided by a road network composed of multi-level roads(i.e.national,provincial,county and rural roads),by taking account of the differences of effect extent and intensity for roads of different levels.Summarized at town scale,the population burden and the annual rural economic income of unit road service capacity were used as the surrogates of social and economic demands for road service.This method was applied to the road network of the Three Parallel River Region,the northwestern Yunnan Province,China to evaluate the development of road network in this region.In results,the total road length of this region in 2005 was 3.70×104km,and the length ratio between national,provincial,county and rural roads was 1∶2∶8∶47.From 1989 to 2005,the regional road service capacity increased by 13.1%,of which the contributions from the national,provincial,county and rural roads were 11.1%,19.4%,22.6%,and 67.8%,respectively,revealing the effect of′All Village Accessible′policy of road development in the mountainous regions in the last decade.The spatial patterns of population burden and economic requirement of unit road service suggested that the areas farther away from the national and provincial roads have higher road development priority(RDP).Based on the modified KDE model and the framework of RDP evaluation,this study provided a useful approach for developing an optimal plan of road development at regional scale.     

广西气候对注射模型的影响及维护措施

探讨广西不同气候条件下保养教学用注射模型的有效措施.方法：选取320具注射模型作为研究对象,将注射模型按随机编号抽签法分为4份,每份80具模型.分别于2013年春夏秋冬四个季节进行研究,每个季节的80具模型随机分成实验组和对照组各40具.对照组按照模型生产厂家的产品使用、保养要求进行保养,实验组针对广西四季的气候条件采用不同的维护方法进行维护.结果：针对广西气候条件采用不同的维护方法,模型发霉率明显低于传统的保养方法（P＜0.05）.结论：根据广西不同的气候条件对教学用注射模型采用不同的维护方法,对防止模型霉变、延长使用寿命具有重要意义.     

百色双套自动气象站雷击故障维修的方法

通过对百色双套自动气象站遇到历史罕见的强雷暴袭击出现故障维修,摸索出了检修双套新型自动站的通信、电源供应、主机HY3000、接口RS232、分采仪器等模块的方法,供同行借鉴.     

An automated approach to vertical road characterisation using mobile LiDAR systems: Longitudinal profiles and cross-sections

The characterisation the vertical profiles and cross-sections of roads is important for the verification of proper construction and road safety assessment. The goal of this paper is the extraction of geometric parameters through the automatic processing of mobile LiDAR system (MLS) point clouds. Massive and complex datasets provided by the MLS are processed using a hierarchical strategy that includes segmentation, principal component analysis (PCA)-based orthogonal regression, filtering and parameter extraction procedures. Best-fit geometric parameters act as a vertical road model for both linear parameters (slope and vertical curves) and cross-sections (superelevations). The proposed automatic processing approach gives satisfactory results for the analysed scenario.     

层次分析法支持下的道路洪涝灾害风险评价——以武夷山地区为例

本文首先采用基于多准则决策的层次分析评价法,根据自然灾害风险理论,将洪涝风险影响因子分为危险性和脆弱性两类,子准则层包括平均降雨量、汇流累积量、坡度、海拔和土地覆盖度、道路级别、地表产流能力7个因子,构建了道路洪涝灾害风险评价模型。然后以福建省武夷山地区为研究区,利用地形数据、气象数据及遥感影像提取土地覆盖类型数据,通过道路洪涝灾害风险评价模型,绘制了道路风险分区图。结果表明,中、高风险积水道路占比较高,主要集中在东部、西部和中南部地区。本文对道路洪涝灾害风险所进行的评价,可服务于洪涝灾害风险预警和应急救援规划。     

改进的HRNet应用于路面裂缝分割与检测

针对利用传统卷积神经网络进行路面裂缝分割时存在准确率低、信息丢失及边缘模糊的问题,本文提出了基于改进HRNet模型的路面裂缝分割算法。模型在原始HRNet的基础上进行改进,主干网络部分采用DUC模块代替双线性插值上采样;下采样改为passthrough layer代替原始卷积;在模型解码部分,进行逐级上采样的同时引入SE-Block,对不同特征层的融合重新标定权重。通过与原始HRNet及传统卷积神经网络U-Net对比可知,本文算法在公共数据与自制数据集上的分割精度表现优秀,F1分值分别达到了91.31%和78.69%,可以很好地满足实际工程的需求。     

iCAP 6300电感耦合等离子体发射光谱仪的常规维护方法

电感耦合等离子体发射光谱仪在使用过程中,由于控制气体流量的电磁阀出现机械性移位,致使工作气流量过于偏大或偏小,对进样系统及分析数据产生不利影响;长期频繁使用条件下,由于控制光学系统的机械定位装置的磨损,致使谱峰坐标偏离而影响仪器灵敏度;很长时间不能"引燃"等离子体,检查进样系统和氩气纯度并没有发现异常,需要验证RF发生器有无功率输出时有一定的困难;在等离子体工作时产生的高温尾气的长期作用下,难免造成点火头末端铜丝的锈蚀,致使点火头放电微弱,不能"引燃"等离子体。因此,为保证仪器的正常运行,提高工作效率,确保检测数据的准确度,实验室应建立健全电感耦合等离子体发射光谱仪维护保养方案,解决上述问题。本文结合实际工作经验,以iCAP 6300电感耦合等离子体发射光谱仪为例,提出可以借助"Manufacturing and Service.exe"程序校正工作气流量,验证RF发生器是否输出功率;利用C 193.091 nm谱线为基准校正谱线修正CID检测器的谱峰坐标系统;另外,对点火头、分析软件数据库及主机灰尘的清理也进行了详细的维护说明,这些措施有益于保障仪器的性能及提高设备的利用率。