Assessment of groundwater quality using multivariate statistical techniques in Hashtgerd Plain, Iran

Multivariate statistical techniques, such as cluster analysis (CA), factor analysis (FA), principal component analysis (PCA), and discriminant analysis (DA), were applied for the evaluation of variations and the interpretation of a large complex groundwater quality data set of the Hashtgerd Plain. In view of this, 13 parameters were measured in groundwater of 26 different wells for two periods. Hierarchical CA grouped the 26 sampling sites into two clusters based on the similarity of groundwater quality characteristics. FA based on PCA, was applied to the data sets of the two different groups obtained from CA, and resulted in three and five effective factors explaining 79.56 and 81.57% of the total variance in groundwater quality data sets of the two clusters, respectively. The main factors obtained from FA indicate that the parameters influencing groundwater quality are mainly related to natural (dissolution of soil and rock), point source (domestic wastewater) and non-point source pollution (agriculture and orchard practices) in the sampling sites of Hashtgerd Plain. DA provided an important data reduction as it uses only three parameters, i.e., electrical conductivity (EC), magnesium (Mg²⁺) and pH, affording more than 98% correct assignations, to discriminate between the two clusters of groundwater wells in the plain. Overall, the results of this study present the effectiveness of the combined use of multivariate statistical techniques for interpretation and reduction of a large data set and for identification of sources for effective groundwater quality management.     

Source and distribution of metals in urban soil of Bombay,India, using multivariate statistical techniques

Simplification of a complex system of geochemical variables obtained from the soils of an industrialized area of Bombay is attempted by means of R-mode factor analysis. Prior to factor analysis, discriminant analysis was carried out taking rock and soil chemical data to establish the anthropogenic contribution of metals in soil. Trace elements (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) are expressed in terms of three rotated factors. The factors mostly indicate anthropogenic sources of metals such as atmospheric fallout, emission from different industrial chimneys, crushing operations in quarries, and sewage sludges. Major elements (Na, Mg, Al, Si, P, K, Ca, Ti, Mn, and Fe) are also expressed in terms of three rotated factors indicating natural processes such as chemical weathering, presence of clay minerals, and contribution from sewage sludges and municipal refuse. Summary statistics (mean, standard deviation, skewness, and kurtosis) for the particle size distribution were interpreted as moderate dominance of fine particles. Mineralogical studies revealed the presence of montmorillonite, kaolinite, and illite types of clay minerals. Thus the present study provides information about the metal content entering into the soil and their level, sources, and distribution in the area.     

Assessment of groundwater quality using multivariate statistical techniques in the Azmak Spring Zone,Mugla, Turkey

About 150 coastal spring outlets discharging from a karstified carbonate rock aquifer constitute the Azmak streamflow which is slightly brackish with 3000 mg/l of total dissolved solids. In this study, multivariate statistical methods were applied including the use of factor analysis, correlation analysis and cluster analysis to evaluate groundwater quality of Azmak Spring Zone using eight variables (Ca, Mg, Na, K, Cl, SO₄, EC₂₅ and B) at 19 water points sampled in the dry and wet seasons. Hydrochemical analysis results revealed that for majority of the sampling points, the abundance of cations and anions were ordered as Na?+?K?>?Mg?>?Ca and Cl?>?SO₄?>?HCO₃?+?CO₃, respectively. Factor analysis results indicated that three factors explain 98% and 91% of the total variance in the dry and wet seasons, respectively. Factor 1 was found to be associated with the seawater, factor 2 indicated the effect of fresh water and factor 3 was defined to reflect the effect of seasonal fresh surface water contribution. Cluster analysis results indicated that two main groups and four subgroups could be defined with respect to the ratio of the seawater contribution. Cluster A (A1 and A2) represents the waters affected by seawater while waters less affected by the seawater intrusion are grouped in cluster B (B1 and B2).     

Application of multivariate statistical techniques in the assessment of water quality in Sakarya River,Turkey

In this paper, the surface water quality of the Sakarya River in Turkey is assessed by using multivariate statistical techniques. These techniques were applied to the chemical parameters obtained from the five different surface water quality observation stations. Factor and principal component analysis results reveal that the agricultural, anthropogenic and domestic pollution caused differences in terms of water quality. Cluster analysis revealed two different clusters of similarities between the stations, reflecting different chemical properties and pollution levels in the studied river. Surface water quality downstream of the river was different from the water quality upstream. Thus, this study shows the usefulness of multivariate statistical techniques for analysis and interpretation in the surface water quality problem.     

湛江组沉积相特征

<正> 1955年,李树勋将广东湛江一套灰白色砂砾与灰白色粉砂质粘土互层的地层称为“湛江系”,时代是晚第三纪至第四纪;1964年,广东茂名石油公司地质处称之为“湛江群”,时代为中新世至早更新世;同年,中国科学院南海海洋研究所定为“湛江组”,时代为早更新世。由于湛江组的岩性和沉积相特征区域差异较大,露头多未见底,上覆下伏地层多为松散物,加之各家所掌握的实测资料及研究程度不同,30多年来对湛江组的沉积相问题仍众说纷坛,例如广东省地质局(1972)认为湛江组的沉积相为海积、冲积;南海海洋     

Sedimentary facies and depositional history of the Swan Islands,Honduras

Swan Island is a Honduran possession in the western Caribbean, located on the southeastern side of the Cayman Trench. Two sedimentary assemblages are found on the island: an older bedded sequence of mid-Tertiary age (Aquitanian or Burdigalian) and a younger sedimentary sequence of Late Pleistocene age. The older sequence is composed of a series of calcarenites, calcilutites, and siliciclastic mudstones; capping these are cliff-forming reefal carbonates of the younger sequence.The rocks of the older bedded sequence accumulated in deep water. Sedimentation consisted of a constant rain of pyroclastic debris interrupted by the episodic introduction of upslope carbonate material by turbidity currents. Uplift and deformation of this sequence was initiated sometime after the Early Miocene. By the Late Pleistocene, uplift had brought the rocks into water depths conducive to coral growth. Pleistocene sedimentation on the island was controlled by the interaction between tectonic uplift and eustatic sea-level changes. The primary controlling force on the tectonic history of the island is its proximity to the boundary between the North American and Caribbean plates.     

Sedimentary facies,production rates and facies models for recent coralline algal gravels,Co. Galway,Ireland

Five sedimentary facies are described from SCUBA diving examination and sampling of Mannin Bay, Ireland. A Bank facies is built up by the unattached coralline algae Lithothamnium corallioides and Phymatolithon calcareum. This autochthonous facies occurs in shallow sheltered environments. In exposed areas a rippled Clean Algal Gravel facies is found composed of coralline and molluscan debris. In intermediate energy areas a Muddy Algal Gravel facies is found with small amounts of live corallines. Sheltered creeks have a Mud facies which is partly carbonate and partly terrigenous. The shallow water coralline algal sediments are overlapped by a Fine Sand facies of mixed biogenic composition. Each facies is characterized by particular phenotypic growth forms of the unattached corallines. Rates of organic calcium carbonate production are obtained which are found to be similar to rates from shallow tropical non-reef environments. The carbonate sediments of Mannin Bay are compared with similar sediments from Kilkerrin Bay. Ireland, from Brittany and from Falmouth Harbour. From these comparisons, facies models are proposed for these carbonate sediments. The major factor controlling facies distribution is coastal morphology. The present day shelf is considered to be too exposed to preserve complete sequences of the shallow water sediments.     

Water quality assessment of the Jinshui River (China) using multivariate statistical techniques

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.     

Evaluation of spatial and seasonal variations in surface water quality using multivariate statistical techniques

In this study, spatial and seasonal variations of water quality in Haraz River Basin were evaluated using multivariate statistical techniques, such as cluster analysis, principal component analysis and factor analysis. Water quality data collected from 8 sampling stations in river during 4 seasons (Summer and Autumn of 2007, Winter and Spring of 2008) were analyzed for 10 parameters (dissolved oxygen, Fecal Coliform, pH, water temperature, biochemical oxygen demand, nitrate, total phosphate, turbidity, total solid and discharge). Cluster analysis grouped eight sampling stations into three clusters of similar water quality features and thereupon the whole river basin may be categorized into three zones, i.e. low, moderate and high pollution. The principle component analysis/factor analysis assisted to extract and recognize the factors or origins responsible for water quality variations in four seasons of the year. The natural parameters (temperature and discharge), the inorganic parameter (total solid) and the organic nutrients (nitrate) were the most significant parameters contributing to water quality variations for all seasons. Result of principal component analysis and factor analysis evinced that, a parameter that can be significant in contribution to water quality variations in river for one season, may less or not be significant for another one.     

Sedimentary environments and facies of the subtropical mgeni estuary,Southeast Africa

The Mgeni Estuary is situated on the subtropical, mainly microtidal Natal coast. Modern sedimentary environments in the estuary comprise two groups. Barrier-associated environments include inlet channel, inlet beachface, tidal delta, washover fans, transverse intertidal bars and aeolian dunes. Estuarine environments include subtidal channels, interidal bars, back-barrier lagoon, tidal creek, tidal creek side-attached bars, creek mouth bar, mangrove fringe and supratidal mudflats. Each sedimentary facies is described in terms of grain-size, sedimentary structures, and sedimentary processes. The distinctive flora and fauna play an important role in facies recognition. Vertical sequences produced by infilling of the estuary and subsequent coastal erosion are discussed. The facies are considered sufficiently distinct to warrant recognition in the geological record.     

白音查干凹陷达尔其油田沉积相与油(气)分布

达尔其油田腾格尔组和都红木组一段具有近物源、多期次、快速沉积的特征,沉积相的类型多而复杂。勘探实践表明:该区"增储上产"的关键是寻找好的沉积微相中的优质储层。通过研究认为,达尔其地区主要发育湖泊、辫状河三角洲、冲积扇三类的沉积体系,好的沉积(微)相控下的储集层普遍具有高孔、高渗的特点,与产能具有良好的匹配关系。浅湖砂坝、席状砂、深湖浊积扇、深湖 浊积砂、辫状河水道和滑塌浊积扇是达尔其油田主力产油沉积(微)相。冲积扇~辫状河三角洲~湖泊这种过渡相沉积影响着该区油(气)分布,使达尔其油田油(气)聚集区在斜坡上呈NE-SW方向分布三个油气聚集带:高部位断背斜型油气聚集带、中部位岩性~构造型油气聚集带和低部位构造~岩性型油气聚集带,且在达尔其东区和西区油气分布各有差异。低部位构造~岩性型油气聚集带中浊积砂(扇)体、浅湖砂坝等隐蔽性油(气)藏是今后油气勘探的重要目标。     

Assessment of groundwater quality with special reference to arsenic in Nawalparasi district,Nepal using multivariate statistical techniques

Groundwater is a precious resource for humankind not only in Nepal but also across the globe due to its diverse functions. A total of 48 groundwater samples were collected from three villages of Nawalparasi district, Nepal, during pre-monsoon and monsoon to estimate the overall groundwater quality and to identify the sources of contamination with emphasis on arsenic (As). The average concentrations of all tested groundwater quality parameters (temp., pH, EC, ORP, Ca²⁺, Mg²⁺, Na⁺, K⁺, Cl^?, F^?,SO₄ ^2?, PO₄ ^3?, HCO₃ ^?, NO₃ ^?, Cu, Ni, Mn, Cd, Pb, Fe, Zn, Cr, and As) were well within permissible limits of WHO for drinking water, except for Ni, Cd, Pb, Cr, and As. Concentration of As ranged from 60 to 3,100 μg L^?1 and 155 to 1,338 μg L^?1 in pre-monsoon and monsoon, respectively. The Piper diagram of the groundwater chemistry showed groundwater of Nawalparasi belongs to Ca–Mg–HCO₃ and Mg–HCO₃ water type with HCO₃ ^? as dominant ions. As content in the study area was negatively correlated with Fe in pre-monsoon, while it was positively correlated in monsoon. Furthermore, As was negatively correlated with oxidation reduction potential suggesting reducing condition of groundwater. Principal component analysis revealed seven major factors that explained 81.996 and 83.763 % of total variance in water quality in pre-monsoon and monsoon, respectively. The variance of water quality was related mainly with the degree of water–rock interaction, mineralization, and anthropogenic inputs.     

渭河盆地新生代沉积相研究

渭河盆地位于鄂尔多斯地块南缘与秦岭造山带的交接部位,为一新生代盆地,古近系和新近系沉积厚度几千米,沉积类型多样,通过钻井及大量野外剖面的详细观察及实测,开展了地层、沉积相及岩相古地理学的研究。对渭河盆地新生代地层单位进行了重新厘定,并根据沉积特征划分为冲积扇沉积、河流沉积、湖泊沉积、三角洲沉积及风成沉积5种沉积类型。研究认为:整个沉积过程,盆地边断、边陷、边充填,纵向上极不对称,沉积中心偏南,平面上西窄东宽,盆地边部以冲积扇沉积为主,向中心由三角洲沉积逐渐过渡为湖相沉积。盆地从始新世开始沉积,渐新世后期抬升并存在沉积间断,中新世冷水沟期接着开始沉积,水体逐渐扩大,寇家村期湖泊广泛发育,至灞河期沉积范围达到最大,上新世游河期盆地存在西安、固市两大沉积凹陷区,边部开始出现风成沉积,第四纪西部隆起,湖泊沉积范围开始缩小,中更新世至全新世,盆地内湖泊萎缩成区域上的小型洼地。     

塔里木盆地三叠—侏罗系沉积相

塔里木盆地三叠系和侏罗系包含4个性质不同的陆相盆地。除早三叠世和晚侏罗世存在短暂的海泛之外,发育内陆湖泊及受其影响的陆相沉积,受构造影响明显,扇三角洲特别发育。库车盆地及塔北-塔中盆地湖域大小差别不大,但湖域位置有较大的变迁。塔西南和塔东南盆地的湖域大小变化很大,三叠纪湖盆较小且分布不连续;侏罗纪湖域扩大,且分别在塔东南和塔西南连片。     

准噶尔盆地北三台地区三叠系克拉玛依组沉积相

根据岩心观察,结合地震、测井资料,将准噶尔盆地北三台地区三叠系克拉玛依组作为一个三级层序进行研究,并划分了体系域。在等时格架内,以体系域为单位进行了沉积相研究,定量编制克拉玛依组沉积体系平面分布图。查明有利砂体的展布位置,为准噶尔盆地北三台地区进一步油气勘探提供依据。     

Correlation analysis of statistical facies fault models

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...     

重庆石柱中三叠统巴东组沉积相研究

重庆石柱中三叠统巴东组有3种主要岩相类型:①紫红、灰绿色泥页岩,②褐黄、紫红、灰褐色岩屑石英砂岩,③浅灰色碳酸盐岩;并见有水平层理、平行层理、沙纹层理、板状交错层理等层理构造;划分出障壁海岸相,以及潮坪亚相、湖亚相和5种微相;建立了沉积相序,指出海平面变化对该区巴东期沉积物类型起着控制作用。     

燕山地区宣龙坳陷长龙山组沉积相特征研究

通过野外剖面观察和室内薄片、粒度分析及相标志的研究认为,长龙山期海侵范围急剧扩大,形成了一套成熟度较高的滨浅海相碎屑岩沉积,可划分为无障壁海岸和浅海陆棚两个相区。前者主要发育在长一段,可细分为前滨、临滨两种亚相;后者主要发育在长二段,以滨外陆棚沉积为主。提出了长龙山组的沉积相模式。     

柴达木盆地平台地区路乐河组沉积微相研究

根据钻井岩心、铸体薄片、扫描电镜、测录井资料及分析化验资料,对柴达木盆地北缘西段平台地区古近系路乐河组地层岩心的沉积构造、粒度特征、沉积序列等进行详细研究,分析平台地区古近系路乐河组的沉积相类型及演化过程。研究表明,平台地区路乐河组主要受近源沉积控制,沉积了一套以砾岩、含砾粗砂岩、泥质粉砂岩和泥岩为主的粗粒碎屑岩,发育槽状交错层理和板状交错层理,成分成熟度和结构成熟度较差。粒度概率累积曲线显示碎屑颗粒沉积物主要由悬浮组分和跳跃组分组成,表明水动力条件较强,以河流相沉积为主。沉积微相类型以河床亚相的河床滞留和心滩沉积为主,其次为河漫亚相的河漫滩沉积和泛滥平原沉积。沉积相的研究清楚展示出平台地区古近纪早期路乐河组的沉积特征和演化规律,为该地区下一步油气勘探工作提供可靠的地质依据。