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.

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.

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.

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.

scholarly journals Avaliação da Qualidade da Água em Microbacias Hidrográficas do Extremo Sul da Bahia, Brasil

2020 ◽  
Vol 13 (5) ◽  
pp. 2447
Author(s):  
Reinaldo Brandi Abreu Bifano ◽  
Catarina Da Rocha Marcolin ◽  
Maria Otávia Silva Crepaldi ◽  
Raquel Viana Quinelato ◽  
Adriana Tiemi Ramos Okumura ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Urban Areas ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Multivariate Statistical ◽  
Rainy Period ◽  
Physical Chemical ◽  
Significant Difference

Este estudo teve como objetivo avaliar a qualidade da água das microbacias dos rios Jardim e Mutari, situadas no Extremo Sul da Bahia, através da avaliação de parâmetros físicos, químicos, microbiológicos e do uso e ocupação da terra. Para isso foram realizadas quatro coletas, em abril, maio, julho e outubro de 2019, em 8 pontos amostrais, selecionados de acordo com possíveis fontes pontuais e difusas de poluição. Foram analisados os parâmetros temperatura, potencial hidrogeniônico (pH), salinidade, oxigênio dissolvido (OD), demanda bioquímica de oxigênio (DBO), nitrito, nitrato, amônia, nitrogênio total (NT), fósforo total (PT), sólidos dissolvidos totais, coliformes totais e termotolerantes, que foram comparados com o estabelecido pela CONAMA n° 357/2005. Já as análises de uso e ocupação da terra, foram realizadas utilizando o software QGIS. Com os resultados obtidos observou-se que os parâmetros pH, OD, DBO, PT e NT apresentaram valores em desacordo com o permitido pela legislação, principalmente nos pontos próximos às áreas urbanizadas. A análise estatística multivariada PCA, permitiu identificar diferenças na qualidade da água das microbacias no período seco e chuvoso.Já o teste Kruskal-Wallis indicou diferença significativa entre os ambientes analisados. Nossos resultados indicam que é de suma importância a tomada de ações por parte do poder público que visem minimizar os impactos causados pelo uso e ocupação desordenada da terra e atividades agrícolas na qualidade da água dessas bacias hidrográficas. Cabe destacar também a importância de ações voltadas a educação ambiental principalmente da população ribeirinha.  Water Quality Assessment in Hydrographic Watersheds in the Extreme South of Bahia, BrazilA B S T R A C TThis study aimed to evaluate the water quality of the Jardim and Mutari rivers, located in southern Bahia, by means of evaluating physical, chemical and microbiological parameters and land use and occupation. Four campaigns were carried out in April, May, July, and October, 2019, at 8 stations, selected according to possible punctual and diffusive sources of pollution. The water quality results were compared with that established by CONAMA n.º 357/2005and the Water Quality Index (IQA) was calculated from these. For data analysis, Principal Component Analysis (PCA) was also performed and Kruskal-Wallis tests were applied, using the PAST software.The land use and occupation analyses were performed using the QGIS software. We observed that the pH, OD, DBO, PT and NT were in disagreement with those allowed by the legislation, mainly near urban areas. The multivariate statistical analysis PCA, allowed to identify differences in the water quality of the watersheds in the dry and rainy period. The Kruskal-Wallis test indicated a significant difference between the environments analyzed.The supervised classification confirmed the need to recover areas along the riverbed within the analyzed micro-basins.Our results indicate it is crucial that public authorities act to minimize the impacts caused by the disorderly urban occupation and agricultural activities. It is also worth mentioning the importance of actions aimed at environmental education, mainly of the riverside population.Keywords: water quality, physical, chemical and biological parameters, hydrographic basins, rivers. 

scholarly journals A Methodology Based on FT-IR Data Combined with Random Forest Model to Generate Spectralprints for the Characterization of High-Quality Vinegars

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1411
Author(s):  
José Luis P. Calle ◽  
Marta Ferreiro-González ◽  
Ana Ruiz-Rodríguez ◽  
Gerardo F. Barbero ◽  
José Á. Álvarez ◽  
...  
Keyword(s):  
Random Forest ◽  
Raw Materials ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Raw Material ◽  
Support Vector ◽  
Protected Designation Of Origin ◽  
Ft Ir

Sherry wine vinegar is a Spanish gourmet product under Protected Designation of Origin (PDO). Before a vinegar can be labeled as Sherry vinegar, the product must meet certain requirements as established by its PDO, which, in this case, means that it has been produced following the traditional solera and criadera ageing system. The quality of the vinegar is determined by many factors such as the raw material, the acetification process or the aging system. For this reason, mainly producers, but also consumers, would benefit from the employment of effective analytical tools that allow precisely determining the origin and quality of vinegar. In the present study, a total of 48 Sherry vinegar samples manufactured from three different starting wines (Palomino Fino, Moscatel, and Pedro Ximénez wine) were analyzed by Fourier-transform infrared (FT-IR) spectroscopy. The spectroscopic data were combined with unsupervised exploratory techniques such as hierarchical cluster analysis (HCA) and principal component analysis (PCA), as well as other nonparametric supervised techniques, namely, support vector machine (SVM) and random forest (RF), for the characterization of the samples. The HCA and PCA results present a clear grouping trend of the vinegar samples according to their raw materials. SVM in combination with leave-one-out cross-validation (LOOCV) successfully classified 100% of the samples, according to the type of wine used for their production. The RF method allowed selecting the most important variables to develop the characteristic fingerprint (“spectralprint”) of the vinegar samples according to their starting wine. Furthermore, the RF model reached 100% accuracy for both LOOCV and out-of-bag (OOB) sets.

scholarly journals Impact of Hijlan Creek springs on water quality of the Euphrates River and the hydrochemical characterization of the contamination plumes

2021 ◽  
Vol 80 (15) ◽  
Author(s):  
Muwafaq Ayesh Rabeea ◽  
Ahmed J. R. Al-Heety ◽  
Mahmmoud Ismail Mohammed ◽  
Adnan Mohammed Fayydh ◽  
Mohamed Elhag
Keyword(s):  
Water Quality ◽  
Euphrates River ◽  
Hydrochemical Characterization
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