Detecting subtle hydrochemical anomalies with multivariate statistics: an example from ‘homogeneous’ groundwaters in the Great Artesian Basin,Australia     

Bethany O'Shea  Jerzy Jankowski 《水文研究》2006,20(20):4317-4333

The major ion composition of Great Artesian Basin groundwater in the lower Namoi River valley is relatively homogeneous in chemical composition. Traditional graphical techniques have been combined with multivariate statistical methods to determine whether subtle differences in the chemical composition of these waters can be delineated. Hierarchical cluster analysis and principal components analysis were successful in delineating minor variations within the groundwaters of the study area that were not visually identified in the graphical techniques applied. Hydrochemical interpretation allowed geochemical processes to be identified in each statistically defined water type and illustrated how these groundwaters differ from one another. Three main geochemical processes were identified in the groundwaters: ion exchange, precipitation, and mixing between waters from different sources. Both statistical methods delineated an anomalous sample suspected of being influenced by magmatic CO₂ input. The use of statistical methods to complement traditional graphical techniques for waters appearing homogeneous is emphasized for all investigations of this type. Copyright © 2006 John Wiley & Sons, Ltd.  相似文献   

A graphic expression of salinization and pollution of groundwater The case of Israel's groundwater     

A. Melloul  B. Azmon 《Environmental Geology》1997,30(1-2):126-136

 Anthropogenic activities create various contaminated leachate, which can migrate downward from the vadose zone to groundwater, transferring contaminants, including some hazardous ones. When these various sources of contamination influence the groundwater aquifer simultaneously, the effects of contamination are enhanced. The major concern of this study has been to determine whether the shape of a groundwater chlorograph might be the result of such deterministic effects as accumulation of one or more particular processes of groundwater contamination, and how this might relate to specific hydrological situations. This study proposes a classification of groundwater contamination on the basis of properties of the main components of groundwater quality graphs and the corresponding hydrogeological/environmental situation. The study further suggests that contamination of groundwater in any hydrogeological situation (e.g. sea water) may be graphically expressed. A variety of chlorographs and nitrographs, representative of various groundwater aquifers sampled from a number of wells throughout Israel attest to this. The study thus indicates that groundwater quality graphs may be considered as a complementary tool for groundwater quality control and better understanding aquifer situations.  相似文献   

Complex component analysis of shear-wave splitting: theory   总被引：2，自引：0，他引：2  

Xiang-Yang Li  Stuart Crampin 《Geophysical Journal International》1991,107(3):597-604

  相似文献   

江汉盆地钻孔测井资料确定地应力最大水平主压应力方向     

高士钧  储昭坦 《大地测量与地球动力学》1997,(4)

利用钻孔测井资料并运用地层倾角测量信息分析法，给出了江汉盆地地应力最大水平主压应力方向为ＮＥ６０～６５°  相似文献   

盘山山前地下水与矿泉水污染成因分析   总被引：4，自引：0，他引：4  

李学美  赵子军  崔亚莉  刘雪松  卢长军 《水文地质工程地质》2008,35(1):112-116

文章利用主成分分析方法,结合揭示变量和样品之间在成因或空间上联系的对应分析,通过SPSS统计分析软件,对盘山山前地区地下水和矿泉水污染成因进行分析。研究表明,盘山山前存在地下水和矿泉水污染;局部范围的污染主要是由于食品厂等企业的排污引起的,污染成分主要是Cl-和NO3—N,主要污染地区是塔院地区,其次是西大佛塔至南营,污染程度与至污染源的距离有关;大部分地区存在三氮面状污染,农业氮肥的施用是其主要原因。  相似文献   

江西省早稻雨洗花灾害指标构建与灾损评估   总被引：3，自引：2，他引：1       下载免费PDF全文

田俊  霍治国 《应用气象学报》2018,29(6):657-666

构建早稻雨洗花灾害指标及适于早稻产量估算的灾损评估模型,对开展早稻雨洗花灾害监测、损失评估、灾害保险等具有重要意义。该文以江西省早稻为研究对象,利用1981-2015年14个水稻气象观测站逐日气象资料和农业气象观测资料,筛选出基于早稻抽穗扬花期间过程降水量、最大降水量、降水日数及实际产量的雨洗花灾害样本78个,在此基础上,利用相关分析、正态分布以及主成分回归法,建立了雨洗花灾害指标和灾损评估模型,并对其进行验证。结果表明:抽穗扬花期降水对雨洗花灾害形成有显著影响,其主要影响时段为抽穗扬花普遍期前后5 d内,关键时段为抽穗扬花普遍期前后3 d内。日降水量40 mm可作为早稻抽穗扬花期雨洗花灾害临界指标。以该指标为基础,统计日降水量不低于40 mm的降水日数及其对应的累积降水量,当累积降水量为40~170 mm时,为轻度雨洗花灾害,早稻一般减产小于15%,平均减产10%;当累积降水量不小于170 mm时,为重度雨洗花灾害,早稻一般减产不低于15%,平均减产22%。指标验证结果与历史实际灾害发生情况有较好的一致性。雨洗花灾损评估模型检验结果表明:雨洗花年模拟产量与实际产量吻合度较高,平均相对模拟误差为4.3%,78.0%的资料相对误差在5%以内,可利用该模型对雨洗花年的早稻减产率进行模拟和预测。  相似文献   

1975-2015年鄂尔多斯市沙漠化的时空演变过程     

冯坤  颜长珍  谢家丽  钱大文 《中国沙漠》2018,38(2):233-242

鄂尔多斯市地处温带草原向荒漠草原过渡的半干旱区,是中国沙漠化问题较为严重的区域之一,其土地沙漠化发展和逆转过程及影响因素在北方农牧交错带具有代表性。以7期Landsat卫星遥感数据为信息源提取沙漠化土地类型及程度的时空格局信息,分析了该地区自1975年以来的土地沙漠化过程,并结合气象及社会经济数据采用主成分分析法对驱动因子进行定量分析。结果表明：在脆弱生态环境背景下,鄂尔多斯市土地沙漠化受人口数量增加、过垦及过牧等人为因素的严重影响。不同时段土地沙漠化发展的方向与驱动力都有所不同,1975-2000年是土地沙漠化的急剧发展期,驱动力以人为因素为主导,自然因素为基础;2000-2015年是土地沙漠化的逆转期,驱动力以自然因素为主,人为因素为辅。  相似文献   

基于车载LiDAR点云的地物分类方法的研究     

邵帅  刘春晓  周光耀  井文胜 《测绘与空间地理信息》2017,(2):198-201

基于点云分类常用的近邻聚类法和物体表面分割等方法,本文提出了一种基于最大网格密度的近邻聚类的方法。该方法首先对原始点云进行低点提取,设置格网的大小,在此基础上对点云数据进行去噪并进行主成分分析,再对点云空间进行均匀格网化,使具有最大密度的格网为聚类中心,加入高程、强度以及法向量等特征对分割后的点云实现了不同地物的分类,提高了运算效率,降低了错分率。  相似文献   

Automatic estimation of olive tree dendrometric parameters based on airborne laser scanning data using alpha-shape and principal component analysis     

Edyta Hadas  Andrzej Borkowski  Javier Estornell  Przemyslaw Tymkow 《地理信息系统科学与遥感》2017,54(6):898-917

The aim of this study is to present an automatic approach for olive tree dendrometric parameter estimation from airborne laser scanning (ALS) data. The proposed method is based on a unique combination of the alpha-shape algorithm applied to normalized point cloud and principal component analysis. A key issue of the alpha-shape algorithm is to define the α parameter, as it directly affects the crown delineation results. We propose to adjust this parameter based on a group of representative trees in an orchard for which the classical field measurements were performed. The best value of the α parameter is one whose correlation coefficient of dendrometric parameters between field measurements and estimated values is the highest. We determined crown diameters as principal components of ALS points representing a delineated crown. The method was applied to a test area of an olive orchard in Spain. The tree dendrometric parameters estimated from ALS data were compared with field measurements to assess the quality of the developed approach. We found the method to be equally good or even superior to previously investigated semi-automatic methods. The average error is 19% for tree height, 53% for crown base height, and 13% and 9% for the length of the longer diameter and perpendicular diameter, respectively.  相似文献   

基于GF-1遥感数据的城市水体信息提取方法研究     

赵慧童  王萍  张娜  孙俊娇 《测绘与空间地理信息》2017,(10):70-73,76

水体信息的高精度提取是水资源监测、调查与管理等研究领域的关键问题。本文选取国产GF-1卫星影像作为数据源,根据影像中典型地物光谱特征采用归一化水体指数法(NDWI)、多波段谱间关系法对研究区进行了水体提取,并通过结果分析提出了基于主成分分析与多尺度分割技术的综合水体信息提取方法。对以上4种方法进行对比分析,验证结果表明:归一化水体指数法易受阴影信息影响;改进的多波段谱间关系法能较为完整地提取水体信息,但受小范围阴影信息影响;主成分分析综合法总体精度较高;多尺度分割提取法能有效地分离水体信息与非水体信息,水体信息提取的效果最佳。  相似文献