Quantification of karst aquifer discharge components during storm events through end-member mixing analysis using natural chemistry and stable isotopes as tracers

Karst aquifer components that contribute to the discharge of a water supply well in the Classical Karst (Kras) region (Italy/Slovenia) were quantitatively estimated during storm events. Results show that water released from storage within the epikarst may comprise as much as two-thirds of conduit flow in a karst aquifer following rainfall. Principal components analysis (PCA) and end-member mixing analysis (EMMA) were performed using major ion chemistry and the stable isotopes of water (δ¹⁸O, δ²H) and of dissolved inorganic carbon (δ¹³C_DIC) to estimate mixing proportions among three sources: (1) allogenic river recharge, (2) autogenic recharge, and (3) an anthropogenic component stored within the epikarst. The sinking river most influences the chemical composition of the water-supply well under low-flow conditions; however, this proportion changes rapidly during recharge events. Autogenic recharge water, released from shallow storage in the epikarst, displaces the river water and is observed at the well within hours after the onset of precipitation. The autogenic recharge end member is the second largest component of the well chemistry, and its contribution increases with higher flow. An anthropogenic component derived from epikarstic storage also impacts the well under conditions of elevated hydraulic head, accounting for the majority of the chemical response at the well during the wettest conditions.     

Towards models of strategic spatial choice behaviour: theory and application issues

Models of spatial choice behaviour have been around in geography urban planning for decades to assess the feasibility of planning actions or to predict external (competition) effects on existing destinations. Although these models differ in terms of complexity and key concepts, they all have in common that spatial choice behaviour is predicted as a function of the attributes of the choice alternatives and distance or travel time separation only. None of these models do take into account that the attributes of choice alternatives and travel time may be highly non-stationary and that often the utility that people derive from visiting a particular location also depends on the choice behaviour of other individuals. Under these circumstances, individuals may exhibit strategic choice behaviour. That is, they will choose particular choice options taking into account their expected behaviour of others such as to maximize their own utility. The purpose of the proposed paper is to discuss possible models of strategic choice behaviour for these urban planning problems. Theory will be outlined and some critical issues in the application of such models to problems of spatial choice will be discussed.     

Geodatabase版本控制原理剖析

随着地理信息系统的发展及其应用的不断扩大,多用户并发操作、长事务处理以及历史数据回溯管理成为大型空间数据库的基本要求,ESRI在面向对象地理模型(Geodatabase数据模型)中通过版本控制为空间数据库的上述要求提供了有效的解决方案。本文详细分析了Geodatabase版本控制基本原理,为建立、管理大型空间数据库以及研究开发全新面向对象空间数据库管理系统提供参考。     

基于IMAGIS的数字小区建模探讨

随着城市化水平的不断提高，对城市的规划管理也提出了很高的要求，数字城市作为数字地球的重要组成部分正是在这一背景下提出的。本文结合适普公司的IMAGIS软件，对城市小区鼍维场景建设中的相关问题进行了探讨，并以遂宁市某街区为例进行了实践。     

地震波混合阶褶积算法模拟

基于正反傅立叶变换,提出了地震波模拟的混合阶褶积算法。该方法原理简单、易于实现,结合了有限差分与伪谱法的优点,具有较高的精度和计算效率,适用于地震波场的正演计算,同时还给出了二维地震波场的理论计算实例。计算结果表明,此算法模拟结果正确、精度高、速度快、能适应较为复杂地质模型,并且易于推广到各向异性介质中去。     

吉林台爆破料应力应变关系的三轴试验研究

通过室内大型三轴实验，研究了吉林台水库爆破料在不同级配下的应力应变关系，得到了在一定击实功下爆破料的最大干密度随细料含量变化的规律，分析了爆破料在不同级配和不同围压下应力与应变的变化规律、轴向应变与体积应变的关系及抗剪强度变化特性．从微观的角度说明了变化规律产生的原因，得出爆破料的抗剪强度随级配的变化而变化的规律．     

北方某城市浅层地下水中有机污染物迁移转化的数值模拟研究

在3次野外取水样分析的基础上，分析了研究区域有机污染特征，并根据室内实验和国内外文献资料所获取的参数，利用地下水模拟系统软件（GMS）对研究区三氯乙烯（TCE）和四氯乙烯（PCE）在地下水中的运移转化进行数值模拟研究，模拟结果表明：研究区地下水中TCE和PCE存在生物降解作用，但是反应速率很小，这表明在相当长的时间内，其浓度仍可能保持在相当的水平上。     

车载智能地理信息查询系统及其自然语言接口

车载地理查询系统涉及到多方面的软、硬件技术和数据来源；本文提出了车载系统所需具备的主要功能，并对其中所需解决的关键问题进行了讨论。特别是针对如何使车载系统具备一定的智能问题，提出了将自然语言和空间查询语句结合，构造模式库，在自然语言识别处理的基础上，完成自然语言空间查询的方法。     

Multicollinearity and correlation among local regression coefficients in geographically weighted regression

Present methodological research on geographically weighted regression (GWR) focuses primarily on extensions of the basic GWR model, while ignoring well-established diagnostics tests commonly used in standard global regression analysis. This paper investigates multicollinearity issues surrounding the local GWR coefficients at a single location and the overall correlation between GWR coefficients associated with two different exogenous variables. Results indicate that the local regression coefficients are potentially collinear even if the underlying exogenous variables in the data generating process are uncorrelated. Based on these findings, applied GWR research should practice caution in substantively interpreting the spatial patterns of local GWR coefficients. An empirical disease-mapping example is used to motivate the GWR multicollinearity problem. Controlled experiments are performed to systematically explore coefficient dependency issues in GWR. These experiments specify global models that use eigenvectors from a spatial link matrix as exogenous variables.This study was supported by grant number 1 R1 CA95982-01, Geographic-Based Research in Cancer Control and Epidermiology, from the National Cancer Institute. The author thank the anonymous reviewers and the editor for their helpful comments.