scholarly journals Spatial and seasonal variability in the water chemistry of Kabar Tal wetland (Ramsar site), Bihar, India: multivariate statistical techniques and GIS approach

Author(s):  
Deepak Gupta ◽  
Rajesh Kumar Ranjan ◽  
Purushothaman Parthasarathy ◽  
Afroz Ansari

Abstract This study was performed to evaluate the spatial and temporal distribution of major ions in water samples of a newly designated Ramsar site, namely Kabar Tal (KT) wetland of Bihar. Samples were collected during summer, monsoon, and winter seasons. The analytical and GIS results show that concentration of electrical conductivity, chloride, and nitrate are higher in summer than monsoon and winter. However, the concentration of major cations such as sodium, potassium, calcium, and magnesium are higher in winter than monsoon and summer. In addition, major anions like sulphate and phosphate concentration is higher during monsoon than summer and winter. Multivariate statistical tool (Discriminant Analysis) results suggest that temperature, pH, electrical conductivity, sulphate, and potassium are the major parameters distinguishing the water quality in different seasons. The study confirms that seasonal variations are playing a major role in the hydrochemistry of KT wetland. Overall, this work outlines the approach towards proper conservation and utilization of wetlands and to assess the quality of surface water for determining its suitability for agricultural purposes. Overall, this work highlights the approach towards estimating the seasonal dynamics of chemical species in KT wetland and its suitability for irrigation purposes.

1990 ◽  
Vol 14 ◽  
pp. 186-190 ◽  
Author(s):  
P.A. Mayewski ◽  
M.J. Spencer ◽  
M.S. Twickler ◽  
S. Whitlow

Spatial representativeness and an understanding of controls on chemical species distribution are essential requirements of any significant ice core investigation. Snowpit studies provide an essential tool in this process. In preparation for the central Greenland deep drilling effort a series of snowpits was sampled in detail for oxygen isotopes, major anions, major cations, total acidity and radionuclides. The results of this sampling program are used to define: (1) the chemical composition of the snow in the region, (2) the input timing and spatial distribution of major chemical species, (3) the potential dependence of species concentration on accumulation rate, and (4) the signal characteristics identifiable in the region over the last few years.


2013 ◽  
Vol 10 (1) ◽  
pp. 1553-1579
Author(s):  
P. Gbolo ◽  
P. Gerla

Abstract. Surface water from a dugout pond and groundwater samples from seven shallow wells installed within an abandoned feedlot in northwestern Minnesota, USA. were analyzed for nutrients, ammonia, pH, temperature, and electrical conductivity (EC). In the study, multivariate statistical techniques including cluster and factor analyses were used to evaluate the interrelationship between the analyzed chemical species. The cluster and factor analyses grouped the analyzed chemical species into three different groupings or clusters based on the concentrations of the chemical species and physical parameters. From the factor analysis, approximately 78% of the variability in the factor 1 was caused by electrical conductivity (EC), ammonium (NH4+, total carbon (TC), and total phosphorus (TP), while within factor 2; approximately 82% of the variability was caused by temperature (T), pH, nitrate-nitrogen (NO3-N), and ammonium (NH4+. The contribution of nitrate-N and ammonium could be attributed to the high rate of denitrification and/or the dissimilatory nitrate reduction to ammonium. The change in the concentration of nutrients is attributed to redox conditions, temperature variation, and the movement of nutrients from manure.


2013 ◽  
Vol 423-426 ◽  
pp. 1422-1426
Author(s):  
Sarunya Promkotra ◽  
Tawiwan Kangsadan

Chemical speciation of brine and groundwater is examined to assess the distribution of chemical stability and behaviors of their solutions. Brine and groundwater are randomly collected from Ban Muang and Wanon Niwat District, Sakon Nakhon province. Hydrochemical parameters and also chemical compositions of their major ions are examined to evaluate the hydrochemical facies. Brine is generally indicated the Na-Cl type. For major cations, groundwater expresses mainly the sodium and calcium ions. However, brine presents dominantly sodium and potassium ions. Major anions of groundwater display principally the bicarbonate and chloride, but brine shows primarily the chloride and sulphate. The salinity zone of sodium chloride is confined only in the small area. The influence of rock salts in some areas is concerned. Relationship of Na+ and Cl-proves the stoichiometric balance of them. Chemical phases from the saturation indices consist of anhydrite, calcite, dolomite and gypsum, which found most in every sample. Generally, saturation condition of groundwater indicates the under saturation. Besides, saturation indices (SI) of brine state the super saturation for anhydrite. The anhydrite saturation index is obviously presented the supersaturated condition when the total dissolved solids (TDS) are greater than 250,000 mg/L.


1990 ◽  
Vol 14 ◽  
pp. 186-190 ◽  
Author(s):  
P.A. Mayewski ◽  
M.J. Spencer ◽  
M.S. Twickler ◽  
S. Whitlow

Spatial representativeness and an understanding of controls on chemical species distribution are essential requirements of any significant ice core investigation. Snowpit studies provide an essential tool in this process. In preparation for the central Greenland deep drilling effort a series of snowpits was sampled in detail for oxygen isotopes, major anions, major cations, total acidity and radionuclides. The results of this sampling program are used to define: (1) the chemical composition of the snow in the region, (2) the input timing and spatial distribution of major chemical species, (3) the potential dependence of species concentration on accumulation rate, and (4) the signal characteristics identifiable in the region over the last few years.


2020 ◽  
Vol 60 ◽  
pp. 37-49
Author(s):  
Ramesh Raj Pant ◽  
Barsha Adhikari ◽  
Upendra Baral ◽  
Suraj Shrestha ◽  
Shristi Neupane ◽  
...  

The Himalayan freshwater lakes embody treasure of the country, crystal-clear nature of which offers water for drinking, irrigation and other domestic purposes, and provides shelter to numerous species, preserve aquatic biodiversity and habitat of the area. Freshwater lake is one of the major sources of livelihood amenities in Nepal and replenishes groundwater, positively influence the quality of downstream watercourses. In the present study, 20 water samples were collected from different points of Rajarani Lake, and analyzed for water temperature, pH, electrical conductivity (EC), total dissolved solids (TDS), oxygen-reduction potential (ORP), turbidity, dissolved oxygen (DO),total hardness (TH), major cations (Ca2+, Mg2+, K+, Na+ and NH4+) and major anions (HCO3-, Cl-, NO3-, and PO43-). The acquired data were interpreted using multivariate statistical technique with principal component analysis (PCA) and cluster analysis (CA) to evaluate controlling factors and characteristics of sampling locations in the lake.PCA results demonstrated major three factors contributing to water quality in lake with a 73.89% of cumulative variance. Similarly, CA results characterized sampling locations into four clusters indicating differentiation in the chemical concentrations. Results of the assessment through PCA, CA and comparison with other Himalayan lakes indicated that Rajarani Lake is not severely affected by pollution because it is still unexplored and thus pristine in nature. This study suggests that water quality of lake environments needs to be further investigated, focusing on depth-wise and temporal levels for its sustainability.


Minerals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 683
Author(s):  
Chris Aldrich ◽  
Xiu Liu

Froth image analysis has been considered widely in the identification of operational regimes in flotation circuits, the characterisation of froths in terms of bubble size distributions, froth stability and local froth velocity patterns, or as a basis for the development of inferential online sensors for chemical species in the froth. Relatively few studies have considered flotation froth image analysis in unsupervised process monitoring applications. In this study, it is shown that froth image analysis can be combined with traditional multivariate statistical process monitoring methods for reliable monitoring of industrial platinum metal group flotation plants. This can be accomplished with well-established methods of multivariate image analysis, such as the Haralick feature set derived from grey level co-occurrence matrices and local binary patterns that were considered in this investigation.


2019 ◽  
Vol 32 (1) ◽  
pp. 200-210
Author(s):  
Antônio Italcy de Oliveira Júnior ◽  
Luiz Alberto Ribeiro Mendonça ◽  
Sávio de Brito Fontenele ◽  
Adriana Oliveira Araújo ◽  
Maria Gorethe de Sousa Lima Brito

ABSTRACT Soil is a dynamic and complex system that requires a considerable number of samples for analysis and research purposes. Using multivariate statistical methods, favorable conditions can be created by analyzing the samples, i.e., structural reduction and simplification of the data. The objective of this study was to use multivariate statistical analysis, including factorial analysis (FA) and hierarchical groupings, for the environmental characterization of soils in semiarid regions, considering anthropic (land use and occupation) and topographic aspects (altitude, moisture, granulometry, PR, and organic-matter content). As a case study, the São José Hydrographic Microbasin, which is located in the Cariri region of Ceará, was considered. An FA was performed using the principal component method, with normalized varimax rotation. In hierarchical grouping analysis, the “farthest neighbor” method was used as the hierarchical criterion for grouping, with the measure of dissimilarity given by the “square Euclidean distance.” The FA indicated that two factors explain 75.76% of the total data variance. In the analysis of hierarchical groupings, the samples were agglomerated in three groups with similar characteristics: one with samples collected in an area of the preserved forest and two with samples collected in areas with more anthropized soils. This indicates that the statistical tool used showed sensitivity to distinguish the most conserved soils and soils with different levels of anthropization.


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Cen Li ◽  
Hongxia Yang ◽  
Yuzhi Du ◽  
Yuancan Xiao ◽  
Zhandui ◽  
...  

Zuotai(gTso thal) is one of the famous drugs containing mercury in Tibetan medicine. However, little is known about the chemical substance basis of its pharmacodynamics and the intrinsic link of different samples sources so far. Given this, energy dispersive spectrometry of X-ray (EDX), scanning electron microscopy (SEM), atomic force microscopy (AFM), and powder X-ray diffraction (XRD) were used to assay the elements, micromorphology, and phase composition of nineZuotaisamples from different regions, respectively; the XRD fingerprint features ofZuotaiwere analyzed by multivariate statistical analysis. EDX result shows thatZuotaicontains Hg, S, O, Fe, Al, Cu, and other elements. SEM and AFM observations suggest thatZuotaiis a kind of ancient nanodrug. Its particles are mainly in the range of 100–800 nm, which commonly further aggregate into 1–30 μm loosely amorphous particles. XRD test shows thatβ-HgS, S8, andα-HgS are its main phase compositions. XRD fingerprint analysis indicates that the similarity degrees of nine samples are very high, and the results of multivariate statistical analysis are broadly consistent with sample sources. The present research has revealed the physicochemical characteristics ofZuotai, and it would play a positive role in interpreting this mysterious Tibetan drug.


2017 ◽  
Vol 33 (3) ◽  
pp. 369-378 ◽  
Author(s):  
Brett A Zimmerman ◽  
Amy L Kaleita

Abstract. Assessing the effectiveness of management strategies to reduce agricultural nutrient efflux is hampered by the lack of affordable, continuous monitoring systems. Generalized water quality monitoring is possible using electrical conductivity. However environmental conditions can influence the ionic ratios, resulting in misinterpretations of established electrical conductivity and ionic composition relationships. Here we characterize specific electrical conductivity (k25) of agricultural drainage waters to define these environmental conditions and dissolved constituents that contribute to k25. A field investigation revealed that the magnitude of measured k25 varied from 370 to 760 µS cm-1. Statistical analysis indicated that variability in k25 was not correlated with drainage water pH, temperature, nor flow rate. While k25 was not significantly different among drainage waters from growing and post-growing season, significant results were observed for different cropping systems. Soybean plots in rotation with corn had significantly lower conductivities than those of corn plots in rotation with soybeans, continuous corn plots, and prairie plots. In addition to evaluating k25 variability, regression analysis was used to estimate the concentration of major ions in solution from measured k25. Regression results indicated that HCO3-, Ca2+, NO3-, Mg2+, Cl-, Na2+, SO42- were the major drainage constituents contributing to the bulk electrical conductivity. Calculated ionic molal conductivities of these analytes suggests that HCO3-, Ca2+, NO3-, and Mg2+ account for approximately 97% of the bulk electrical conductivity. Keywords: Electrical conductivity, Salinity, Subsurface drainage, Total dissolved solids.


2013 ◽  
Vol 45 (3) ◽  
pp. 379-390 ◽  
Author(s):  
Anna Maria Szczucińska

The major part of the Polish Plain (central Europe) was shaped during the last glaciation and so far has been considered to be poor in groundwater outflows. The present study aimed to map the groundwater outflows and to analyse their water properties in the Lubuska Upland, western Polish Plain. The mapping of the groundwater outflows was supplemented by hydrochemical analyses (major ions and trace metals) of selected outflows. Altogether, approximately 600 groundwater outflows were recorded, of which 45% were springs. The outflow water discharges ranged from 0.001 to 45 L s−1. Most of them were located at the bottom of the slopes of river valleys. The water was neutral (pH 6.9 to 8.11), with electrical conductivity from 261 to 652 μS cm−1 and average temperature ~10 °C. The most common water type was dominated by bicarbonate, sulphates and calcium ions. The waters often exceeded the quality limits for total Fe and Mn2+. This study revealed that groundwater outflows are a common feature of the areas shaped by former glaciations and are most likely supplied by shallow aquifers.


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