Geochemical and multivariate assessment of water quality in the Rajarani Lake, Dhankuta, Nepal

2020 ◽  
Vol 60 ◽  
pp. 37-49
Author(s):  
Ramesh Raj Pant ◽  
Barsha Adhikari ◽  
Upendra Baral ◽  
Suraj Shrestha ◽  
Shristi Neupane ◽  
...  
Keyword(s):  
Water Quality ◽  
Principal Component ◽  
Statistical Technique ◽  
Total Hardness ◽  
Multivariate Statistical ◽  
Major Cations ◽  
Sampling Locations ◽  
Major Anions ◽  
And Cluster Analysis

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.

The Status of Surface Water in West Tripura District, India: An Approach by Using Water Quality Index and Multivariate Statistical Technique

2021 ◽  
Vol 18 (2) ◽  
pp. 27-36
Author(s):  
Biplab Roy ◽  
Ajay Kumar Manna
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Principal Component ◽  
Statistical Technique ◽  
Total Hardness ◽  
Multivariate Statistical ◽  
And Cluster Analysis ◽  
Entropy Weighted

The present investigation provides a better interpretation of surface water (rivers, ponds, bills, lakes, etc.) quality utilising entropy weighted water quality index (EWWQI) and different multivariate statistical techniques. Eleven physicochemical parameters including alkalinity, dissolved oxygen (DO), pH, total dissolved solids (TDS), electrical conductivity (EC), calcium (Ca), turbidity, magnesium (Mg), total hardness (TH), chloride (Cl-), and iron (Fe) were analysed and monitored at 23 sampling sites (in December 2018) of West Tripura district. Experimental outcomes of turbidity followed by Fe contamination exceeded recommended WHO standard limit. The maximum values of Fe and turbidity were estimated as 8.745 mg/L and 797.7 NTU, respectively. WQI values confirmed that most of the monitoring locations had poor water quality except three reported areas (S7, S14, and S15) but without Fe and turbidity, estimated WQI confirmed drinkable water condition for entire samples. Multivariate statistical approaches like correlation analysis, principal component analysis (PCA) and cluster analysis (CA) were applied to explore water quality. PCA outcomes recognised three principal factors explaining almost 85% of the total variance. CA investigated three major clusters of 23 sampling sites namely less polluted, highly polluted and moderately polluted zone. Confirming all above, the surface water at the monitoring locations is a major concern which may lead to serious health issues in local people.

scholarly journals Hydrochemistry and multivariate statistical analysis of the quality of water from Lake Bosomtwe for agricultural and human consumption

2020 ◽  
Vol 69 (7) ◽  
pp. 704-719
Author(s):  
Gordon Amankwaa ◽  
Xifeng Yin ◽  
Liming Zhang ◽  
Weihong Huang ◽  
Yunfei Cao ◽  
...  
Keyword(s):  
Water Quality ◽  
Principal Component ◽  
Underlying Mechanism ◽  
Sodium Absorption ◽  
Human Consumption ◽  
Multivariate Statistical ◽  
Sodium Absorption Ratio ◽  
Piper Trilinear Diagram ◽  
Lake Bosomtwe

Abstract One of the six major meteoric lakes in the world, Lake Bosomtwe, is of great ecological significance for Ghanaians and the scientific community, most importantly for agricultural and human consumption. Water samples (n = 30) were collected to analyze the hydrogeochemical characteristics and water quality of the lake. Statistical methods including correlation, principal component, cluster analysis, Gibbs ratio, and the Piper–Trilinear diagram were used to analyze parameters. The Water Quality Index revealed that the lake water is not suitable for human consumption because measured pH, temperature, total dissolved solids, color, and bicarbonate exceeded their respective thresholds on all occasions. The calculated sodium absorption ratio (13.7–14.8) and soluble sodium percentage (94.43–95.43%) showed that the lake is not appropriate for irrigation as they exceeded their respective limit of 2 and 60%. The Gibbs ratio revealed that rock–water interaction is the underlying mechanism for water evolution. The Piper–Trilinear diagram revealed that alkalies earth and weak acids dominate the water chemistry of the lake. The dominant cation is sodium (82.22%), while the dominant anion is bicarbonate (79.39%). Five monitoring stations were identified, and the water quality was influenced by diverse anthropogenic and natural sources. The findings will provide a reference for policymakers and decision-makers at Lake Bosomtwe.

scholarly journals Assessment of Water Quality for Aquaculture in Hau River, Mekong Delta, Vietnam Using Multivariate Statistical Analysis

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3307
Author(s):  
Fridah Gacheri Mutea ◽  
Howard Kasigwa Nelson ◽  
Hoa Van Au ◽  
Truong Giang Huynh ◽  
Ut Ngoc Vu
Keyword(s):  
Water Quality ◽  
Principal Component ◽  
Quality Parameters ◽  
Point Sources ◽  
Water Quality Parameters ◽  
Soluble Solids ◽  
Accumulation Factor ◽  
Multivariate Statistical ◽  
Aquaculture Production

The deterioration signs of water quality in the Hau River are apparent. The present study analyzed the surface water quality of the Hau River using multivariate statistical techniques, including principal component analysis (PCA) and Cluster Analysis (CA). Eleven water quality parameters were analyzed at 19 different sites in An Giang and Can Tho Provinces for 12 months from January to December 2019. The findings show high levels of Biological Oxygen Demand (BOD), Total Soluble Solids (TSS), and total coliform, all year round. The PCA revealed that all the water quality parameters influenced the water quality of the Hau River, hence the relevance for water sample scrutiny. The dendrogram of similarity between sampling sites showed a maximum similarity of 95.6%. The Accumulation Factor (AF) trend showed that the concentrations/values of TSS, BOD, and phosphate (PO43−) in the downstream were 1.29, 1.53, and 1.52 times, respectively, greater than the upstream levels. Despite most of the parameters analyzed supporting aquaculture production, caution is needed in the regulation of pollution point sources to undertake sustainable aquaculture production.

Hydrochemical Assessment Of Jhilmila Lake, Kanchanpur, Nepal

2021 ◽  
Vol 14 (14) ◽  
pp. 124-131
Author(s):  
Khadka Bahadur Pal ◽  
Kiran Bishwakarma ◽  
Tarka Bahadur Chalaune ◽  
Durga Upadhaya ◽  
Tark Raj Joshi ◽  
...  
Keyword(s):  
Water Quality ◽  
Sustainable Management ◽  
Principal Component ◽  
Organic Pollution ◽  
Quality Parameters ◽  
Standard Test ◽  
Total Hardness ◽  
Test Procedures ◽  
Multivariate Statistical ◽  
Wetland Ecosystems

Freshwater contamination remains a challenging issue for the sustainable management of wetland ecosystems. This study aims to evaluate the water quality of Jhilmila Lake, Kanchanpur, Nepal by adopting standard test procedures, geochemical indices, and multivariate statistical analysis. The surface water samples were collected during the postmonsoon season in 2018 to assess the hydrochemical parameters such as pH, electrical conductivity (EC), total dissolved solids (TDS) and dissolved oxygen (DO), ammonium (NH4+ ), sodium (Na+), potassium (K+), calcium (Ca2+), magnesium (Mg2+), chloride (Cl-), sulphate (SO42-), nitrate (NO3-), phosphate (PO43-), bicarbonate (HCO3-) and total hardness (TH). The EC ranged from 162-190 µS/cm while TDS was 87-101 mg/L. The concentration of DO in the lake was in the range of 4.77-6.21 mg/L, indicated mild organic pollution. Moreover, the results revealed the moderate alkaline nature of water with the pattern of average ionic dominance of Ca2+>Na+>Mg2+ >K+>NH4+ for cations, and HCO3˗> Cl-> SO42- > NO3- > PO43- for anions. The principal component analysis demonstrated four major components indicating the association of EC, TDS, Ca2+, Mg2+, and HCO3- ; Na+ , PO43- and SO42-; NO3- and K+ ; and Cl- for PC1, PC2, PC3, and PC4, respectively exhibiting both the geogenic and anthropic origin. Overall, the Jhilmila Lake was less polluted, and all the measured water quality parameters were found within permissible limits in terms of drinking purposes. The findings of this study could help for the sustainable management of the lake by providing better insights into the water quality and hydrochemistry of the lake.

scholarly journals Impact of municipal solid waste on the water quality of Otamiri River in Owerri, South-Eastern Nigeria

2021 ◽  
Vol 7 (3) ◽  
pp. 065-072
Author(s):  
Eze Chinwe Catherine ◽  
Anaebonam Emeka ◽  
Nweze Kenneth Emeka ◽  
Onyemeka Regland Michael ◽  
Frank−Ogu Ngozi ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
Physicochemical Parameters ◽  
Total Hardness ◽  
Sampling Locations ◽  
Physico Chemical ◽  
Parameter Variations ◽  
Na Ions ◽  
Inorganic Constituents

This research aimed at assessing the influence of Municipal Waste on Otamiri River by comparing the levels of the contaminants against the set limit by regulating agencies. Stream samples were collected at five different points along the stream using the conventional WHO (2004) methods. The Physico-chemical of the samples collected were analyzed. The results were compared against the standards of regulating agencies. Spatial variations in Physicochemical parameter variations were observed in the levels of the physicochemical parameters measured across the sampling locations. Maximum levels of pH, water temperature and K+ ions were recorded in sampling Locations (SL) 5 (7.12, 29.00C and 2.73mg/L respectively). Maximum levels of TSS, TDS and Turbidity were recorded in sampling locations 4 and 5 (568.60mg/L, 67mg/L, and 110.24 NTU respectively). Maximum levels of EC, Alkalinity and Acidity were recorded in SL 4, 5 and 1 respectively (154.30mg/L, 37.33mg/L, and 32.44mg/L respectively). Maximum levels of DO, BOD, and Chlorides (5.60 mg/L, 3.53 mg/L, and 120.60 mg/L respectively) were recorded in SL 1 and 2. Maximum levels of Ca+, Mg+ and Na+ ions (64.24 mg/L, 3.60 mg/L, and 5.27 mg/L respectively) were recorded in SL 4 and 5. Maximum levels of Ammonia and Total Hardness were recorded in SL 5 (0.100 and 98.27 respectively). The constant dumping of refuse at the site has increased the concentration of organic and inorganic constituents of the river water, even though some remain within established standards. Water from Otamiri River requires elaborate treatment before it could be suitable for domestic purposes.

scholarly journals SPATIAL AND TEMPORAL ASSESSMENT OF WATER QUALITY DATA USING MULTIVARIATE STATISTICAL TECHNIQUES

2016 ◽  
Vol 38 (2) ◽  
pp. 577
Author(s):  
Nícolas Reinaldo Finkler ◽  
Taison Anderson Bortolin ◽  
Jardel Cocconi ◽  
Ludmilson Abritta Mendes ◽  
Vania Elisabete Schneider
Keyword(s):  
Water Quality ◽  
Anthropogenic Activities ◽  
Principal Component ◽  
Quality Data ◽  
Spatial And Temporal Variation ◽  
Multivariate Statistical ◽  
Water Quality Data ◽  
And Cluster Analysis ◽  
Quality Variation ◽  
Human Density

The natural factors and anthropogenic activities that contribute to spatial and temporal variation in superficial waters in Caxias do Sul’s urban hydrographic basins were determined applying multivariate analysis of data. The techniques used in this study were Principal Component Analysis and Cluster Analysis. The monitoring was executed in 12 sampling stations, during January, 2009 to January, 2010 with monthly periodicity in total of 13 campaigns. Between chemical, biological and physical, 20 parameters were analyzed. The results state that with the use of ACP, a data variance of 70.94% was observed. Therefore, it testifies that major pollutants that contribute to a water quality variation in the county are classified as domestic and industrial pollutants, mainly from galvanic industry. Moreover, two clusters were found which differentiated regarding their location and distance from areas with a high human density, corroborating on identifying of impact due to human activities in urban rivers.

scholarly journals Characterization of Water Quality Indicators in the Micro-basin of the Arizona River, Atlántida (Honduras)

2019 ◽  
Vol 11 (6) ◽  
pp. 394
Author(s):  
Luis Antonio Beltrán Alemán ◽  
Ismael Montero Fernández ◽  
Selvin Antonio Saravia Maldonado ◽  
Dixon Nohel Morales López ◽  
José David Portillo Villanueva ◽  
...  
Keyword(s):  
Water Quality ◽  
Storage Tank ◽  
Principal Component ◽  
Standard Technique ◽  
Land Uses ◽  
Urban Center ◽  
Multivariate Statistical ◽  
Water Quality Indicators

The water quality was studied in the basin of the Arizona River, supplier of the urban helmet of the municipality of Arizona, department of Atlántida (Honduras). In order to determine the quality of the water provided to the population. The methodology implemented consisted in carrying out tours in the area to obtain information on the delimitation, maps of land uses using tools of the geographic information system (GIS), then it was determined to assign the sampling sites for the three days for three months being the the following: take, storage tank and three taps of the urban center of the municipality of Arizona. The analytical parameters for the micro-watershed (site work) were evaluated and analyzed by the NSF ICA with a multivariate statistical analysis of principal component methods, the remaining analyzes were developed in comparisons according to the admissible values of the Standard Technique for the Quality of Drinking Water of Honduras 1995.

Assessment of the spatial–temporal variations on the water quality of stagnant Haihe River, Tianjin, North China

2017 ◽  
Vol 18 (3) ◽  
pp. 1103-1116
Author(s):  
Zhiwei Zhang ◽  
Ling Xiao ◽  
Min Ji ◽  
Can Wang
Keyword(s):  
Water Quality ◽  
Control Strategies ◽  
Principal Component ◽  
Temporal Variations ◽  
Quality Parameters ◽  
Anthropogenic Factors ◽  
Haihe River ◽  
Factors Affecting ◽  
And Cluster Analysis

Abstract Spatial–temporal variations in 13 selected water quality parameters from four stations located in the stagnant Haihe River from 2012 to 2014 were analysed. Principal component analysis and cluster analysis were applied. The main latent anthropogenic factors affecting the water quality of Sanchakou, Sixin Bridge, Liulin, and Erdao Gate were combined sewer overflow, organic matter, domestic sewage, and agricultural diffuse source, respectively. External inputs mainly affected quality water in the summer–autumn season. By contrast, intrinsic biochemical processes were highly correlated with water quality in the winter–spring season. Ranges of total nitrogen (TN) and total phosphorus (TP) of four sampling sites measured 1.2 mg/L to 11.4 mg/L and 0.04 mg/L to 2.06 mg/L, respectively. TN/TP (mass ratio) was mainly between 9 and 23, indicating severely eutrophicated mainstream of the Haihe River and sufficient amounts of nutrients for phytoplankton growth and reproduction. Hence, dual nutrients control strategies should be implemented in this stagnant urban river.

Assessment of urbanization/impervious effects on water quality in the urban river Annaba (Eastern Algeria) using physicochemical parameters

2016 ◽  
Vol 74 (9) ◽  
pp. 2051-2059 ◽  
Author(s):  
R. Hafsi ◽  
L. Ouerdachi ◽  
A. E. O. Kriker ◽  
H. Boutaghane
Keyword(s):  
Water Quality ◽  
Surface Water Quality ◽  
Principal Component ◽  
Threshold Level ◽  
Urban River ◽  
Sufficient Information ◽  
Multivariate Statistical ◽  
Impervious Area ◽  
The Impact

Surface water quality is deteriorating due to the increase of urbanization which increases the load of stormwater and wastewater discharged into rivers. To evaluate the quality of an urban river (Annaba, northeastern Algeria), multivariate statistical analyses were applied to the physicochemical measures of 38 parameters. The application of principal component analysis and factor analysis pointed out 19 dominant components, explaining 83.40% of the variance. Reducing the amount of data will allow a reduction in the number of parameters that need to be analysed to have sufficient information on the water quality. An analysis of the statistical tools' results and effective impervious area leads to an estimation of the urbanization threshold level at which the impact on water quality occurs. Estimating the threshold of impervious areas to abide will ensure urban development while protecting the quality of water and environmental health.

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