Delineation of groundwater protection zones by the backward particle tracking method: theoretical background and GIS-based stochastic analysis

The backward particle tracking method, an effective and powerful tool that can be used to delineate groundwater protection zones, is presented. The theoretical background and insights on the applicability of this method are provided. Moreover, the present work enriches the backward particle tracking method with an uncertainty analysis concerning the porosity values, applying a Monte Carlo (MC) approach, coupled with the use of geographical information systems (GIS). As an application example, a wellfield in the Komotini area, Greece, is investigated. The present study may serve as a potential guideline for wellfield delineation, particularly in areas like Greece where lack of data related to the hydrogeological system is often a problem.     

Modeling the scale dependences of topological relations between lines and regions induced by reduction of attributes

The scale dependences of topological relations are caused by the changes of spatial objects at different scales, which are induced by the reduction of attributes. Generally, the detailed partitions and multi-scale attributes are stored in spatial databases, while the coarse partitions are not. Consequently, the detailed topological relations can be computed and regarded as known information, while the coarse relations stay unknown. However, many applications (e.g., multi-scale spatial data query) need to deal with the topological relations at multiple scales. In this study new methods are proposed to model and derive the scale dependences of topological relations between lines and multi-scale region partitions. The scale dependences of topological relations are modeled and used to derive the relations between lines and coarse partitions from the relations about the detailed partitions. The derivation can be performed in two steps. At the first step, the topological dependences between a line and two meeting, covered and contained regions are computed and stored into composition tables, respectively. At the second step, a graph is used to represent the neighboring relations among the regions in a detailed partition. The scale dependences and detailed relations are then used to derive topological relations at the coarse level. Our methods can also be extended to handle the scale dependences of relations about disconnected regions, or the combinations of connected and disconnected regions. Because our methods use the scale dependences to derive relations at the coarse level, rather than generating coarse partition and computing the relations with geometric information, they are more efficient to support scale-dependent applications.     

甘肃的寒武系

寒武系主要分布于北山、祁连山、河西走廊及陕甘宁盆地。根据沉积岩相及动物地理区系分为三大沉积区和７个沉积分区：北山沉积区分为下统双鹰山组、中统大豁落井组、上统西双鹰山组；祁连山沉积区未见下统，中统月牙山群、黑茨沟群和格尔莫沟群，上统香毛山群；华北沉积区下统未分，中统毛庄组、徐庄组和张夏组，上统仅见崮山组。三大沉积区的动物群分别为东南型（除早寒武世外）、过渡型和华北型。寒武系下界相当于滇东的沧浪铺阶之底界，并与震旦系冰碛层呈平行不整合接触。寒武纪岩相古地理轮廓受当时的地壳变动和气候条件所控制。早寒武世中晚期开始海侵，在北山沉积区之西部呈海湾，在陕甘宁盆地西缘呈浅海陆棚，省内其余地区（除西秦岭外）呈古陆状态。中寒武世广泛海侵，在祁连山形成海槽，且地壳运动加剧，火山喷发活动频繁。晚寒武世大规模海退，仅在北山局部地区、祁连山西段和陕甘宁盆地有沉积，其余均为古陆状态。     

Developing geographic information infrastructures: the role of access policies

Within societies, information availability is a key issue affecting society's well‐being. For geographic information, a geographic information infrastructure (GII) facilitates availability and access to geographic information for all levels of government, the commercial sector, the non‐profit sector, academia, and ordinary citizens. Although the importance of access policies in the development of a GII is commonly understood, research that has assessed the impact of access policies on this development is scant. This article adds this perspective. Based on information acquired from case‐study and literature research, the author argues that open‐access policies do not always promote GII development and in specific instances are counter‐productive. These findings may explain why many nations still adhere to cost‐recovery policies instead of following access policies recommended by research. The article provides alternatives for changing current policies into new access policies that promote GII development.     

Watermarking of digital geospatial datasets: a review of technical,legal and copyright issues

Gathering data accounts for more than 80% of the cost of any GIS project. Fast Internet connections and digital datasets threaten the investments of data producers through data piracy. Outside the GIS community this problem has been known for a long time, and possible solutions exist for digital imagery, formatted text, 3D meshes and so on, showing possible links to typical spatial data. This is largely achieved through embedding hidden information in a dataset without producing perceptible changes in the data, a process known as watermarking. The producer can recover the embedded information on request in order to produce evidence of ownership in a court, so the overall strategy relies on a legal basis rather than technical ones. This paper analyses the state-of-the-art for watermarking protection in digital geographical datasets. Digital imagery is demonstrably a more mature area than geographical information, even with multiple commercial vendors offering watermarking protection. 2D vector and point datasets have received less attention from the research community; however, 3D meshes have been considered by the CAD community and a handful of techniques are available for that case, and they are reviewed here.     

基于GWR模型的道路网络对森林碳密度干扰的地理变异

以闽江上游地区为例,在分析三明市2007—2016年森林碳密度时空动态的基础上,采用常规的以及改进后的道路网络测度指标,应用缓冲区分析方法和地理加权回归（Geographically Weighted Regression,GWR）模型,从线上和面上分别探讨道路网络对森林碳密度干扰的地理变异规律。结果表明：① 碳密度受到道路网络的较大影响,路网影响域内外碳密度的大小排序为：路网影响域内＜整个研究区＜路网影响域外;多条道路影响域重叠区的碳密度(26.330 Mg/hm²)明显低于单条道路影响域的碳密度(37.406 Mg/hm²);不同等级道路影响域的碳密度由大到小依次为县道＞高速＞省道＞其它道路＞国道＞乡道。道路网络对2007—2016年碳密度的降低也有明显影响。② GWR模型的分析结果表明,路网对碳密度的影响程度随着样点的变化而变化,具有“空间非平稳性”。碳密度随着路网密度的增加而降低,而随着离道路距离的增加而增加。③ 研究区西北部和中部,GWR的回归系数及相关系数均较大,表明这2个区域道路对碳密度影响大且解释力皆较强。     

基于SuperMap的松花江流域地理信息系统

松花江流域地理信息系统利用地理信息系统技术,以组件式GIS-SuperMap为基础,对松花江全流域空间信息进行管理,不仅实现了松花江全流域的污染模拟分析功能,还融合遥感影像、数字高程模型,实现了松花江全流域三维动态模拟功能.松花江流域地理信息系统的开发,对于实现水资源的可持续开发利用和流域的可持续发展具有重要意义.     

耕作措施对陕西耕作土壤碳储量的影响模拟*

鉴于农业生态系统土壤有机碳(SOC)平衡对中国农业可持续发展的重要性,文章以陕西农业生态系统为对象,整合农业生物地球化学模型(DNDC)与陕西农业地理信息系统数据库,利用陕西地区气象和作物资料,对陕西省2000年作物生长发育和土壤碳循环进行了模型模拟,实例探讨了耕作管理对土壤碳储量的影响,并由此评价生物地球化学模型在气候变化、土壤性质及农业耕作管理措施对土壤碳含量影响方面的预测能力。敏感性分析表明土壤性状,尤其是初始有机碳含量是影响模型区域尺度模拟的最主要敏感因素。区域模拟使用灵敏系数分析法,分别采用敏感因子的最大、最小值驱动模型在每一模拟单元内的运算,以产生一个土壤有机碳变化的范围值,土壤有机碳变化的真实值应以较大机率包含在这一范围内。分析模拟结果可以得出3点结论: 1)2000年陕西耕作土壤总有机碳储量约为103TgC,是一个大气CO₂源,向大气释放碳0.5TgC; 2)提高作物秸秆还田率是提高陕西农田碳库储量的有效可行措施,将作物秸秆还田率从当前的15 ％ 提高到50 ％ 或90 ％ 会使陕西农田土壤从大气CO₂源转变为汇,每年分别增加土壤有机碳库储量0.7TgC或2.1TgC; 3)施用有机农肥(500kg/hm²)也会增加土壤碳输入,从而提高土壤碳储量,使陕西农田系统转变为较弱的碳(C)源,每年可多固定0.2TgC。     

关于地理环境的理解和运用问题

本文借助语言、逻辑知识,从“偏正结构”、“相关词义”、“派生概念”三方面,阐明了地理环境的确切含义和实际运用问题。笔者在分析、探讨地理环境问题时,提出了一些与当今辞书和重要著述相悖的定义。作者认为,长期以来,围绕地理环境及其派生概念“决定论”所开展的一切无端之争,除立场、观点和历史局限外,无不与下列问题的认识、理解不一有关:关于历史与现代决定论问题;关于决定与决定论问题;关于内外环境决定论问题。     

地理国情监测水面数据时空一致性优化方法

地理国情监测利用遥感、地理信息等技术,动态获取地表覆盖等多样化的地理要素,经统计、分析、评价和应用,服务于政治、经济、文化、资源、环境等多个领域,为政府提供全面、准确、基础的地理信息情报。针对地理国情监测在全国范围基于多时相遥感影像采集水面信息存在时空不一致性的现状,提出一种基于精细DEM的水面数据时空一致性优化方法。利用栅格图形区域生长算法,采用8邻域算子,对水面种子点进行迭代生长计算,得出基于精细DEM的区域生长结果;通过与地理国情监测水面数据对比分析,实现空间化结果的修正,从而达到时空一致性优化的目的。分析了典型研究区水面数据特征,利用该方法进行了优化处理,结果显示：研究区水面数据空间范围相对于时点监测修正了7.99%,满足了地理国情监测时点一致性需求。研究表明：该方法的应用,能够使得在全国尺度上统计的水面数据反映同一季节或可接受时段内的状况,避免或缩小了由于影像数据源的差异造成的时间和空间上的不一致性带来的误差,满足了地理国情监测时点一致性需求,能够在地理国情监测等地表覆盖水面信息提取、优化中推广应用,为政府有效决策提供客观、准确和基础的水面信息。