An optimized baseflow separation method for assessment of seasonal and spatial variability of baseflow and the driving factors

Baseflow is an important component of river or streamflow. It plays a vital role in water utilization and management. An improved Eckhardt recursive digital filter(IERDF) is proposed in this study. The key filter parameter and maximum baseflow index(BFImax) were estimated using the minimum smoothing method to improve baseflow estimation accuracy. The generally considered BFImax of 0.80, 0.50 and 0.25 according to the drainage basin's predominant geological characteristics often leads to significant errors in the regions that have complex subsurface and hydrologic conditions. The IERDF improved baseflow estimation accuracy by avoiding arbitrary parameter values. The proposed method was applied for baseflow separation in the upstream of Yitong River, a tributary of the Second Songhua River, and its performance was evaluated by comparing the results obtained using isotope-tracer data. The performance of IERDF was also compared with nine baseflow separation techniques belonging to filter, BFI and HYSEP methods. The IERDF was also applied for baseflow separation and calculation of rainfall infiltration recharge coefficient at different locations along the Second Songhua River's mainstream for the period 2000–2016. The results showed that the minimum smoothing method significantly improved BFImax estimation accuracy. The baseflow process line obtained using IEDRF method was consistent with that obtained using isotope 18 O. The IERDF estimated baseflow also showed stability and reliability when applied in the mainstream of the Second Songhua River. The BFI alone in the river showed an increase from the upstream to the downstream. The proportion of baseflow to total flow showed a decrease with time. The intra-annual variability of BFI was different at different locations of the river due to varying climatic conditions and subsurface characteristics. The highest BFI was observed at the middle reaches of the river in summer due to a water surplus from power generation. The research provided valuable information on baseflow characteristics and runoff mode determination, which can be used for water resources assessment and optimization of economic activity distribution in the region.     

基于NSCT与改进SIFT特征点的GF-2影像水印算法

现有基于SIFT特征点的水印算法因特征区域重叠导致算法鲁棒性较差,不能满足GF-2影像版权保护的需求。该文采用Mean Shift对SIFT特征点进行优化和改进,提出一种基于NSCT与改进SIFT特征点的GF-2影像数字水印算法。首先,提取GF-2影像的SIFT特征点,采用Mean Shift对其进行聚类处理,将所有聚类中心作为影像的关键点,并计算关键点的平均SIFT描述符,以保证所生成的影像关键点具有与SIFT特征点相同的特征属性;其次,根据关键点构建影像的特征区域,并对其进行几何归一化处理;最后,对特征区域进行NSCT分解,选择低频子带进行奇异值分解,根据加性规则将水印信息的奇异值嵌入低频子带的奇异值中,并通过相应的逆变换得到含水印影像。与其他算法对比验证结果表明,该算法既具有良好的不可见性,又对常规攻击以及旋转、裁剪、缩放等几何攻击具有较好的鲁棒性,且能有效减轻特征区域的重叠现象,适用于GF-2影像的版权保护。     

数字哈密地理信息公共服务平台设计与实现

以数字哈密地理信息公共服务平台建设为例,总结研究了地理信息公共服务平台设计和建设方案。通过信息提取、扩充、重组等整合处理建立适应信息时代要求的公共数据集,开发具备信息集成、浏览查询、统计分析、互联互通以及二次开发等功能的分布式服务系统,配置完善的软件、硬件和网络支撑环境,建成权威的地理信息公共平台,实现地理空间信息和其他专题信息的实时交换和共享,服务和推进政府及各部门的信息化建设。     

三维数字城市平台的设计

三维数字城市平台基于3D-GIS三维规划空间信息,实现真实三维空间的动态调度、三维空间漫游、地物查询、距离查询和多方案对比、视图快捷切换、自动生成平面、立面等基本功能,是辅助规划的重要工具。本文对系统平台的技术构成与主要功能进行了阐述,旨在为增强城乡规划的科学性,提高城乡规划实施、管理效能和开发相关软件系统提供参考。     

驻村帮扶“一张图”设计与实现——以明溪县为例

结合明溪县驻村帮扶工作的开展情况,探索基于地理信息技术下开展驻村帮扶工作的关键技术,依托"数字明溪地理空间框架"的建设成果,设计并实现了明溪县驻村帮扶"一张图",实现了明溪县驻村帮扶信息可视化、透明化和精准化的管理,增强了明溪县驻村帮扶项目管理的科学性。     

从测绘学向地理空间信息学演变历程

本文是对测绘学科从传统测绘到数字化测绘,再到测绘信息化即地理空间信息学3阶段发展历程的回顾。主要阐述了测绘学科伴随着国家需求和世界科技发展的进程在理念、理论、技术、方法和应用服务等方面的变化和发展,较详细地记述了如何由测绘学向地理空间信息学的演变;演变过程中测绘学的理念、学科分类和内涵有哪些变化;并且对数字化测绘、测绘信息化(地理空间信息学)等给出了基本概念和定义。     

Applying VGI to collaborative research in the humanities: the case of ARTL@S

ABSTRACT

Using Artl@s as an example of a project that relies on volunteered geographic information (VGI), this article examines the specific challenges that exist, beyond those frequently discussed in general VGI systems (e.g., participants’ motivation and data quality control) in regard to sharing research data in humanities: (1) most data from the humanities is qualitative and collected from multiple data sources which are often inconsistent and unmappable; (2) data is usually interconnected with multiple relationships among different tables which creates challenges for both mapping and query functionality; (3) data is both geographical and historical. Consequently addresses that no longer exist have to be geolocated and visualized on historical basemaps and spaces must be represented diachronically; (4) the design of web map application needs to balance both sophisticated research requirements and a user-friendly interface; (5) finally contributors expect their data to be cited or acknowledged when used in other studies and users need metadata and citation information in order to reuse and repurpose datasets.

In this article, we discuss how Artl@s, a project which developed a georeferenced historical database of exhibition catalogues, addresses these challenges. Artl@s provides a case study for VGI adoption by digital humanities scholars for research data sharing, as it offers features, such as flexible batch data contribution, interrelated spatial query, automatic geolocalization of historical addresses, and data citation mechanisms.     

Estimated travel time for walking trails in natural areas

An increase in walking or hiking activities in natural areas requires improvements in information and advice about trails, including their difficulty, available services and estimated travel time. Comparative studies show remarkable differences between measured and calculated travel times obtained by available predictive procedures (Naismith’s rule, Tobler’s hiking function or MIDE). A new procedure has been designed by combining pre-existing methods (Tobler’s and MIDE), and travel times have been calculated for 21 trails located in different protected natural areas of Spain. Times obtained are compared with travel times measured by individual users and uploaded into specialized walking-hiking websites (Wikiloc). Results show that the new procedure (Modified Tobler) reduces differences between calculated and measured travel times, which makes it suitable not only for trail managers to estimate travel times but also as a key part of pedestrian transport analysis in trail networks.     

Using Web Maps to Analyze the Construction of Global Scale Cognitive Maps

Game-based Web sites and applications are changing the ways in which students learn the world map. In this study, a Web map-based digital learning tool was used as a study aid for a university-level geography course in order to examine the way in which global scale cognitive maps are constructed. A network analysis revealed that clicks were negatively correlated with familiarity, but were positively correlated with area. More significantly, well-known countries did not act as central nodes within network-based mental models, but served a more complex mediating role in structuring the space between subregions.     

Exploring maps by sounds: using parameter mapping sonification to make digital elevation models audible

This study empirically investigates the potential of auditory displays for spatial data exploration, as an additional means to broaden the accessibility and dissemination of geographic information for a diverse body of users. In a mixed factorial experiment, three parameter mapping sonification methods are empirically evaluated to interactively explore discrete and continuous digital elevation models by auditory means. Contrasting prior sonification research, this study’s unique empirical evidence suggests that participants can indeed successfully interpret sonified displays containing continuous spatial data. Specifically, the auditory variable pitch leads to significantly better response accuracy, compared to the sound variable duration. Background and training has a weak effect on data interpretation performance with the auditory display. The more immersive the experienced soundscape, the better participants can interpret the sonified terrain. These encouraging empirical results indeed suggest that interactive auditory displays might offer additional means to disseminate spatial information, and to increase the accessibility to spatial data, beyond the currently dominant visual paradigm.