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1.
Water pollution sources assessment by multivariate statistical methods in the Tahtali Basin,Turkey 总被引:3,自引:0,他引:3
In this study, multivariate statistical methods including factor, principal component and cluster analysis were applied to
surface water quality data sets obtained from the Tahtali River Basin, Turkey. Factor and principal components analysis results
revealed that surface water quality was mainly controlled by agricultural uses and domestic discharges. Cluster analysis generated
two clusters. Based on the locations of the sites consisted by each cluster and variable concentrations at these stations,
it was concluded that agricultural discharges strongly affected north and northeast part of the region. These methods are
believed to assist water managers to understand complex nature of water quality issues and determine priorities to improve
water quality. 相似文献
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断层带结构和内部流体流动特性是水文地质研究领域的难点问题。石油地质领域,在油气运移与成藏方向已形成较成熟的断层封闭性定量评价技术手段。相比较,断裂的水文地质性质研究尚停留在断裂的力学性质对断层导水、阻水特性的定性评价阶段,尚未详细开展断裂带结构、渗透性各向异性等方面的研究工作。文章梳理总结国外断裂带水文地质性质研究中关于结构组成、断裂带演化、渗透率影响因素等方面的研究成果,引入断裂带渗透率结构模型,并以中国北方岩溶区碳酸盐岩与碎屑岩互层含水岩组为例,构建断裂带水文地质结构模型。断裂带研究尺度和精度不同、断裂带发育部位不同,导致其结构及水文地质性质亦不相同,如何建立起精确、典型的断裂带水文地质结构模型,需要各领域数据共享及多学科融合共同开展研究工作。 相似文献
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Multivariate statistical methods may be used to enhance large data bases by predicting missing information and verifying unchecked data vectors. In addition, new techniques may be used for exploratory purposes to investigate the interrelationships between variables. The techniques are being applied successfully in coal mining. 相似文献
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Described in paper is the principle of optimal partitioning method for stratigraphic division and correlation.The Nihewan Beds are taken for example to show how to apply this approach in stratigraphic division and correlation.The semiquantitative spectral analysis data on aggregate trace elements in 324 samples taken from the nine sections in the Nihewan Basin are treated with multivariate statistical method for stratigraphic division and correlation.First ,the data from all the sections are respectively calculated by the optimal partitioning method to establish the stratigraphic boundaries.The optimal partitioning method has proved itself to be applicable to stratigraphic division and correlation. In our practice the Nihewan Beds are divided into five zones (I-V).Zone I includes subzones Ia and Ib,Zones Ia,Ib,II and III are considered to be corresponding to the Pliocene(N2),the early Early Pleistocene,the late Early Pleistocene,and the Middle Pleistocene,respectively .Zones IV and V are probably Late Pleistocene in age.This indicated that sediments deposited con-temporaneous in the sections of the same basin are similar in geochemical characteristics,although dif-ferent in geographical location.However,the sediments also show some variations ,with a transitional relationship from one section to another .For example ,in Zone II,the sediments of the Xiaodukou section show not only the characteristics of the Nangou-Hongya and Hutouliang sections,but also those of the Xiashagou,Shixiaxi,Shixiadong and Wulitai sections.It can be seen from the above that the zones can be characteristically correlated with one another.In addition the feasibility of the optimal partitioning method is also described in the present paper. 相似文献
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A climatic regionalization of the Tibet (Xizang) Autonomous Region (TAR) is developed based on a multivariate analysis of temperature and precipitation records of two data sets from the periods 1971–1980 and 1980–1989. For these two decades 15 selected variables of the 29 meteorological stations — in total more than 50,000, partly handwritten original data — were computed. Three different statistical approaches, Cluster Analysis (CA), Factor Analysis (FA) and Discriminant Analysis (DA) were followed up. The vast expanse (1.2 million km2) and the pronounced relief of the TAR (between 500 m and 8,848 m in elevation), the low density and unequal distribution of meteorological stations, as well as uncertainties inherent in the selection of statistical methods, restricted and hampered the separation of coherent climatic subregions using multivariate statistics. However, a solution comprising of nine clusters, representing the different climatic conditions of Tibet, was found.The results of the multivariate statistical analyses were compared with traditional classification schemes published by the Chinese Academy of Sciences (CAS). The Chinese classifications from the years 1982 (CAS 82) and 1984 (CAS 84) are here presented to the scientific community of the western countries for the first time (Fig 2 and 3). The main aim of these Chinese climatic classifications in Tibet was the delineation of areas with the best climatic conditions for agricultural land-use. In comparison, the aim of this paper was to establish a new classification of Tibet's climate, mainly based on measurements of climatic elements analyzed with multivariate statistical procedures following up the approach of McGregor (1993). The Factor Analysis (FA) included the temperature factor, which explains 46% of the total variance, whereas 32% is explained by the winter moisture and 12% by the moisture factor.For temperatur zonation and, in particular, for the distribution of precipitation, the high mountain topography of Tibet is interpreted as the determining factor. The new climatic classification derived from multivariate statistics allows a more dynamic interpretation of the climatic cluster pattern. First, it shows the channelized influence of the summer monsoon along the southeast-northwest- and east-west-trending broad valleys north of the Gulf of Bengal. This is also obvious in the pattern of the temperature and moisture factors. Second, it can be supposed that a general south-trending influence of the winter monsoon, in combination with a northwest-trending influence from the Bay of Bengal leads to more irregular relief- and wind-dependent pattern, which can be estimated from the distribution of the winter moisture factor. 相似文献
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《Journal of African Earth Sciences》2010,58(5):455-469
This study demonstrates the strength of R-mode factor analysis and Q-mode hierarchical cluster analysis in determining spatial groundwater salinity groups in southeastern Ghana. Three hundred and eighty three (383) groundwater samples were taken from six hydrogeological terrains and surface water bodies and analyzed for the concentrations of the major ions, electrical conductivity and pH. Q-mode hierarchical cluster analysis and R-mode factor analysis were respectively used to spatially classify groundwater samples and determine the probable sources of variation in groundwater salinity. The quality of groundwater for irrigation was then determined using three major indices. The analyses revealed two major sources of variation in groundwater salinity: silicate mineral weathering on one hand, and seawater intrusion and anthropogenic contamination on the other. A plot of the factor scores for the two major sources of variation in the salinity revealed trends which can be used in hydrogeological mapping and assist in drilling potable water boreholes in southeastern Ghana. This study also revealed four major spatial groundwater groups: low salinity, acidic groundwaters which are mainly derived from the Birimian and Togo Series aquifers; low salinity, moderate to neutral pH groundwaters which draw membership mainly from samples of the Voltaian, Buem and Cape Coast granitoids; very high salinity waters which are not suitable for most domestic and irrigation purposes and are mainly from the Keta Basin aquifers; and intermediate salinity groundwaters consisting of groundwater from the Keta basin aquifers with minor contributions from the other major terrains. The major water type identified in this study is the Ca–Mg–HCO3 type, which degrades into predominantly Na–Cl–SO4 more saline groundwaters towards the coast. 相似文献
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Zahidi Hamzah Ahmad Zaharin Aris Mohammad Firuz Ramli Hafizan Juahir Tahoora Sheikhy Narany 《Arabian Journal of Geosciences》2017,10(2):49
Extensive agricultural, residential, and industrial activities have increased demand for water supplies, which can lead to groundwater quality degradation. The integration of geochemical methods, multivariate statistical analysis, and geostatistical approaches were carried out on 169 groundwater samples to elucidate the regional factors and processes that influencing the geochemical composition of groundwater in coastal shallow aquifer of Terengganu, Malaysia. Hydrochemical modelling revealed that the abundance of Ca and Mg was contributed by carbonate and silicate weathering while higher HCO3 and Cl were resulted from reverse ion exchange reaction. Therefore, the dominant hydrogeochemical facies of groundwater was Ca-Mg-HCO3-Cl type. The influence of salinization resulting from seawater mixing to the groundwater was corroborated by Cl/HCO3 ratio, which affected around 50.9% of the groundwater samples slightly or moderately. Spatial mapping using ordinary kriging found that the threat of sea water intrusion is more prominent in the major river confluence especially around Terengganu and Marang River in the northeast and Dungun and Kemaman River confluence in southeast of study area. Moreover, factor analyses concluded that salinization, anthropogenic activities, reverse ion exchange, weathering processes, agricultural impact, and seasonal variations were the factors that regulate 63% of the major ion chemistry in study area. Finally, these findings showed the importance of understanding the hydrochemical characteristics for effective utilization, aquifer protection, and prediction of changes to minimize the effects of salinization and reduce human pollution such as agriculture and urbanization. It is essential steps in order to safeguard the utilization of groundwater resources for future generations. 相似文献
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分析珠江三角洲腹地佛山顺德区208个蔬菜地表层土样Cu、Ni、Cr、As、Pb、Zn、Cd和Hg等8种重金属的全量,结果表明,8种重金属的平均浓度高于广东省土壤背景值。Cd和Hg的最高浓度和变异系数分别为6.54mg/kg、115%和4.82mg/kg、151%,暗示Cd和Hg的人为来源。多元统计与傅立叶和谱分析的结合,解释了Cr、Ni和Cu的自然来源,Pb、Zn、As、Cd和Hg的人为来源;傅立叶和谱分析进一步阐释了Zn与Cu的双重来源,并推断土壤Hg来源于大气沉降。研究区内大约21.7%的土壤受重金属污染,表明需要调整该区的农业生产活动。 相似文献
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Vishnevsky D. M. Kolyukhin D. R. Lisitsa V. V. Protasov M. I. Reshetova G. V. Tcheverda V. A. Qu D. Tveranger J. 《Doklady Earth Sciences》2017,473(2):477-481
Doklady Earth Sciences - This paper addresses seismic imaging of fault zones and analysis of the seismic data with the use of the fault facies model developed at Uni Research CIPR. Simulated and... 相似文献
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Fatoba Julius Ogunmola Sanuade Oluseun Adetola Hammed Olaide S. Igboama Wilfred W. 《Arabian Journal of Geosciences》2017,10(15):1-19
Arabian Journal of Geosciences - Turabah area is located in the southwestern Arabian Shield of Saudi Arabia. The present study aims to shed light on the origin and mechanism of formation of the... 相似文献
12.
Evaluation of graphical and multivariate statistical methods for classification of water chemistry data 总被引:12,自引:2,他引:12
Cüneyt Güler Geoffrey D. Thyne John E. McCray Keith A. Turner 《Hydrogeology Journal》2002,10(4):455-474
A robust classification scheme for partitioning water chemistry samples into homogeneous groups is an important tool for the
characterization of hydrologic systems. In this paper we test the performance of the many available graphical and statistical
methodologies used to classify water samples including: Collins bar diagram, pie diagram, Stiff pattern diagram, Schoeller
plot, Piper diagram, Q-mode hierarchical cluster analysis, K-means clustering, principal components analysis, and fuzzy k-means
clustering. All the methods are discussed and compared as to their ability to cluster, ease of use, and ease of interpretation.
In addition, several issues related to data preparation, database editing, data-gap filling, data screening, and data quality
assurance are discussed and a database construction methodology is presented.
The use of graphical techniques proved to have limitations compared with the multivariate methods for large data sets. Principal
components analysis is useful for data reduction and to assess the continuity/overlap of clusters or clustering/similarities
in the data. The most efficient grouping was achieved by statistical clustering techniques. However, these techniques do not
provide information on the chemistry of the statistical groups. The combination of graphical and statistical techniques provides
a consistent and objective means to classify large numbers of samples while retaining the ease of classic graphical presentations.
Electronic Publication 相似文献
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Geochemical assessment of groundwater quality in vicinity of Bhalswa landfill,Delhi, India,using graphical and multivariate statistical methods 总被引:1,自引:0,他引:1
A geochemical assessment of groundwater quality and possible contamination in the vicinity of the Bhalswa landfill site was
carried out by using a hydrochemical approach with graphical and multivariate statistical methods with the objective of identifying
the occurrence of various geochemical processes and understanding the impact of landfill leachates on groundwater quality.
Results indicate that nitrate, fluoride and heavy-metal pollution are in an alarming state with respect to the use of groundwater
for drinking purposes. Various graphical plots and statistical analyses have been applied to the chemical data based on the
ionic constituents, water types, and hydrochemical facies to infer the impact of the landfill on groundwater quality. The
statistical analysis and spatial and temporal variations indicate the leaching of contaminants from the landfill to the groundwater
aquifer system. The concentrations of heavy metals in the landfill leachates are as follows: Fe (22 mg/l), Mn (~20 mg/l),
Cu (~10 mg/l), Pb (~2 mg/l), Ni (0.25 mg/l), Zn (~10 mg/l), Cd (~0.2 mg/l), Cl− (~4,000 mg/l), SO42− (~3,320 mg/l), PO43− (~4 mg/l), NO3− (30 mg/l) and fluoride (~50 mg/l); all were much higher than the standards. The study reveals that the landfill is in a depleted
phase and is affecting groundwater quality in its vicinity and the surrounding area due to leaching of contaminants. 相似文献
15.
The Finne fault zone, located in central Germany to the southwest of the Harz mountains, was studied by means of detailed map analysis, investigations of fault displacement and balanced cross-sections for the most strongly deformed area in the center of the fault zone (ca. 50?% of total fault zone length). The system of the Finne fault zone shows a nearly 100-km-long straight flexure that symbolizes the morphological and geological northeastern border of the Thuringian basin. In the central part, which should be surveyed here, the fault zone corresponds to a distinctive narrow band of highly deformed Triassic sedimentary rocks. The northwestern and especially the southeastern parts of the research area are developed as several parallel branch faults. In the southeastern elongation of the fault zone, which is not part of our survey, the sedimentary cover is missing. Here, it is possible to gain insight to the fact that the basement is also involved to the kinematics of the fault zone. Based on our results, we propose a subdivision of the fault zone into four sectors. From the northwest to the southeast, we interpret the structure of these sectors to reflect (1) a compressional flexure, (2) an overthrust graben, and (3) a partially inverted and folded half graben. In the extreme southeast (4), the fault zone is characterized by an anticline with some strike-slip movement parallel to the fold axis. This segmentation is caused by a thrust fault system whose strike direction deviates slightly from that of the earlier formed graben system. The structural configuration can be explained by a two-phase deformation, in which the contractional strain exceeded the preceding extensional deformation. In the investigated area, the horizontal shortening attains a maximum of ca. 1?km. The present study confirms many earlier hypotheses, presents new results on the deformation history of the fault zone, and attempts to evaluate the deformation in a regional geological context. The results of earlier studies were refined and revised using modern methods, and a unified structural and kinematic model of the Finne fault zone was created. 相似文献
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Water quality assessment of the Jinshui River (China) using multivariate statistical techniques 总被引:6,自引:2,他引:6
Multivariate statistical techniques have been widely utilized to assess water quality and evaluate aquatic ecosystem health.
In this study, cluster analysis, discriminant analysis, and factor analysis techniques are applied to analyze the physical
and chemical variables in order to evaluate water quality of the Jinshui River, a water source area for an interbasin water
transfer project of China. Cluster analysis classifies 12 sampling sites with 22 variables into three clusters reflecting
the geo-setting and different pollution levels. Discriminant analysis confirms the three clusters with nine discriminant variables
including water temperature, total dissolved solids, dissolved oxygen, pH, ammoniacal nitrogen, nitrate nitrogen, turbidity,
bicarbonate, and potassium. Factor analysis extracts five varifactors explaining 90.01% of the total variance and representing
chemical component, oxide-related process, natural weathering and decomposition processes, nutrient process, and physical processes, respectively. The study demonstrates the capacity of multivariate statistical techniques for water
quality assessment and pollution factors/sources identification for sustainable watershed management. 相似文献
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Integrating multivariate statistical analysis with GIS for geochemical assessment of groundwater quality in Shiwaliks of Punjab,India 总被引:2,自引:2,他引:2
Chander Kumar Singh Satyanarayan Shashtri Saumitra Mukherjee 《Environmental Earth Sciences》2011,62(7):1387-1405
The dependency of people on groundwater has increased in the past few decades due to tremendous increase in crop production,
population and industrialization. Groundwater is the main source of irrigation in Shiwaliks of Punjab. In the present study
the samples were collected from predetermined location as was located on satellite image on basis of spectral reflectance.
Global positioning system was used to collect samples from specific locations. Principal components analysis (PCA) together
with other factor analysis procedures consolidate a large number of observed variables into a smaller number of factors that
can be more readily interpreted. In the present study, concentrations of different constituents were correlated based on underlying
physical and chemical processes such as dissociation, ion exchange, weathering or carbonate equilibrium reactions. The PCA
produced six significant components that explained 78% of the cumulative variance. The concentration of the few trace metals
was found to be much higher indicating recharge due to precipitation as main transport mechanism of transport of heavy metals
in groundwater which is also confirmed by PCA. Piper and other graphical methods were used to identify geochemical facies
of groundwater samples and geochemical processes occurring in study area. The water in the study area has temporary hardness
and is mainly of Ca–Mg–HCO3 type. 相似文献
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笔者总结了近年来的研究成果认为.中国东部的郯庐断裂带白海西期以来经历了两个主要发展阶段:第一阶段是广义的郯庐断裂带发展阶段,晚三叠世-早侏罗世由于扬子地块与华北地块的碰撞,成为两地块的对接边界,具有逆冲推覆的性质,属广义的特提斯构造域。第二发展阶段从早白垩世以来,发展成为一条平移断裂带,属于狭义的环太平洋构造域的平移系统。岩相古地理资料显示了扬子地块与华北地块的对接始于晚二叠世早期:印支期的郯庐断裂带是一条由NE、NNE向展布的缓‘S’型的地块拼贴边界.在现今的郯庐断裂带上表现为残留的由北北西向南南东的斜向逆冲推覆的性质,中下构造层次表现为韧性逆冲推覆变形,上部构造层即前陆褶皱冲断带内的变形:应力场分析资料显示:早三叠世晚期开始地表浅部就有近南北向的挤压作用,左行走滑平移作用开始发育:早白垩世晚期开始转入引张伸展阶段.与中国东部的伸展作用一致:新近纪又转为近东西向挤压.发育逆冲兼右行走滑作用. 相似文献