Temat: quality analysis - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Principal Component Analysis and Cluster Analysis In Multivariate Assessment of Water Quality
Autorzy:: Jankowska, J.
Radzka, E.
Rymuza, K.
Powiązania:: https://bibliotekanauki.pl/articles/124319.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: principal component analysis
water quality
cluster analysis
Opis:: This paper deals with the use of multivariate methods in drinking water analysis. During a five-year project, from 2008 to 2012, selected chemical parameters in 11 water supply networks of the Siedlce County were studied. Throughout that period drinking water was of satisfactory quality, with only iron and manganese ions exceeding the limits (21 times and 12 times, respectively). In accordance with the results of cluster analysis, all water networks were put into three groups of different water quality. A high concentration of chlorides, sulphates, and manganese and a low concentration of copper and sodium was found in the water of Group 1 supply networks. The water in Group 2 had a high concentration of copper and sodium, and a low concentration of iron and sulphates. The water from Group 3 had a low concentration of chlorides and manganese, but a high concentration of fluorides. Using principal component analysis and cluster analysis, multivariate correlation between the studied parameters was determined, helping to put water supply networks into groups according to similar water quality.
Źródło:: Journal of Ecological Engineering; 2017, 18, 2; 92-96
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Application of Multivariate Statistical Methods to the Hydrochemical Study of Groundwater Quality in the Sahel Watershed, Algeria
Autorzy:: Hakim, Djafer Khodja
Amina, Aichour
Amina, Rezig
Djouhra, Baloul
Ahmed, Ferhati
Powiązania:: https://bibliotekanauki.pl/articles/2173331.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: hydrochemical analysis
water quality
groundwater
principal component analysis
hierarchical cluster analysis
Sahel watershed
Opis:: The quality of groundwater is characterized by several numbers of physical and chemical parameters, which determine the use of water (water supply, irrigation, industry). This search paper is a contribution made to know the hydrochemical characteristics of groundwater in the Sahel sub-catchment which belongs to the large Soummam North basin of Algeria. Different multivariate statistical techniques were used such as principal component analysis (PCA), Hierarchical Cluster Analysis (HCA) and Diagram Analysis. These analyses are exercised to a dataset formed from 37 boreholes with 12 chemical variables over the entire surface of the watershed. The samples were collected in 2016. The 37 boreholes are one of the main water resources that supply the wilaya of Bouira with drinking water and irrigation. The analysis of water quality using different methods (ACP, HCA and Diagram) resulted in two chemical kinds: (Chloride, calcium sulfate and magnesium), and (Bicarbonate calcium and magnesium). The results have shown that 74% of the boreholes were contaminated, the rest of boreholes were characterized by a good quality and they have not suffered any contamination and can be consumed without any risk.
Źródło:: Journal of Ecological Engineering; 2022, 23, 8; 341--349
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: A Multivariate Technique to Develop Hybrid Water Quality Index of the Bengawan Solo River, Indonesia
Autorzy:: Lusiana, Evellin Dewi
Mahmudi, Mohammad
Hutahaean, Sarah Mega
Darmawan, Arief
Buwono, Nanik Retno
Arsad, Sulastri
Musa, Muhammad
Powiązania:: https://bibliotekanauki.pl/articles/2026733.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: principal component analysis
WQI
water quality index
variable selection
water quality assessment
Opis:: Surface water resource, such as river, is constantly contaminated by domestic and industrial pollutants. In order to properly manage the water resource, a composite index for water quality assessment, such as water quality index (WQI), has been designed to monitor and evaluate the properties of surface water. However, this index is quite subjective in terms of determination of relative weights. A principal component analysis (PCA) can be used to reduce the dimension and subjectivity of water quality variables. The purpose of this study was to implement the use of hybrid PCA and WQI methods to assess and monitor the water quality of the Bengawan Solo River, which is located in Java Island, Indonesia. The result suggested that COD, BOD, TSS, TDS, nitrate, nitrite, and ammonia were the main factors that determine water quality of the Bengawan Solo River. Furthermore, it was revealed that most samples from the river showed water quality status as slightly polluted. In addition to this, the seasonal variation of the PCWI values indicated a significant increase of water pollution in the Bengawan Solo River per year.
Źródło:: Journal of Ecological Engineering; 2022, 23, 2; 123-131
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Application of Water Quality Index and Multivariate Statistical Techniques to Assess and Predict of Groundwater Quality with Aid of Geographic Information System
Autorzy:: Dawood, Ammar S.
Jabbar, Mushtak T.
Al-Tameemi, Hayfaa H.
Baer, Eric M.
Powiązania:: https://bibliotekanauki.pl/articles/2105290.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: cluster analysis
water quality
groundwater
factor analysis
WQI
GIS
multi-layer perceptron
Opis:: In this study, the groundwater quality and spatial distribution of the Basra province in the south of Iraq was assessed and mapped for drinking and irrigation purposes. Groundwater samples (n = 41) were collected from deep wells in the study area to demonstrate, estimate and model the Water Quality Index (WQI). The analysis of water samples integrated with GIS-based IDW technique was used to express the spatial variation in the study area with consideration of WQI. The physicochemical parameters, including pH, sodium (Na+), electrical conductivity (EC), chloride (Cl-), total dissolved solids (TDS), calcium (Ca2+), nitrate (NO3-), sulfate (SO42-), magnesium (Mg2+), and bicarbonate (HCO3-) were identified for groundwater quality assessment. The results of calculated WQI classify groundwater into three sorts. The results of WQI showed that 2.5%, 2.5% and 95% of the groundwater samples were classified as poor/very poor/unsuitable for drinking, respectively. The GIS tools integrated with statistical techniques are utilized for spatial distribution and description of water quality. Correlation analysis of groundwater data revealed that some parameters have actually a relationship that is strong with the other parameters and they share a common source of origin. Multivariate statistical techniques, especially cluster analysis (CA) and factor analysis (FA), were applied for the evaluation of spatial variations of forty-one selected groundwater samples. Cluster analysis confirmed that some different locations of wells have comparable sourced elements of water pollution, whereas factor analysis yielded three factors which are accountable for groundwater quality variations, clarifying more than 72% of the total variance of the data and permitted to group the preferred water quality. MultiLayer Perceptron (MLP) models were applied in modeling the water quality index. Comparing different result values of the MLP network suggested that the values of MSE and r for the selected model are 0.1940 and 0.9998, respectively. Finally, it can be revealed that the MLP network precisely predicted the output, i.e. the WQI values.
Źródło:: Journal of Ecological Engineering; 2022, 23, 6; 189--204
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Environmental Protection and Improvement of Water Quality as a Factor in the Development of Tourism in the Erenik River
Autorzy:: Gashi, Bardha
Kuqi, Beke
Dreshaj, Adem
Powiązania:: https://bibliotekanauki.pl/articles/24201792.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: parameter
river
urban discharge
water analysis
water quality
Opis:: This paper examines the impact of urban discharges on the water quality of the Erenik River in the city of Gjakova, Kosovo which is the most of key factor in developing the tourism. The primary goal of this project-based research was to provide results through water analysis in order to show the impact of urban discharges on the water quality for the tourists coming. The research was carried out by taking water samples at the entrance and exit of the Erenik River, while the measured parameters of the analyses were: temperature, pH value, electrical conductivity, turbidity, permanganates, phosphorus; and chlorides. Due to the conditions, measurements were not performed for: biological and chemical expenditure, dissolved oxygen, and alkalinity of the water. In order to achieve reliable results, the experimental research model was used, applying the techniques and methods of water analysis during the period of November-December 2021. The analyzed water result and the final findings showed that urban wastes affect the water quality, in particular the pollution from the discharges in the river potentiating the condition in which the Erenik River is found.
Źródło:: Journal of Ecological Engineering; 2023, 24, 3; 333--340
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Seasonal and Tidal Influence on Surface Water Quality – A Case Study in the Hau River Segment, Vietnamese Mekong Delta Province
Autorzy:: Ni, Duong Van
Viet, Le Hoang
Ly, Nguyen Hong Thao
Powiązania:: https://bibliotekanauki.pl/articles/2173269.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: surface water quality
Hau Giang
season
discriminant analysis
tide
Opis:: The study aimed to evaluate the influence of seasons and tides on surface water quality of Hau River in Hau Giang province, Vietnam. The water quality data were collected at six locations at low tide and high tide. The monitoring parameters included pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), ammonium (NH4+-N), nitrate (NO3--N), orthophosphate (PO43--P), total phosphorus (TP), total nitrogen (TN), iron (Fe) and Coliform. One-way analysis of variance (One-way ANOVA), cluster analysis (CA) and discriminant analysis (DA) were applied to determine the influence of tides and seasons on water quality. The surface water quality was compared with the national technical regulation on surface water quality in column A1 (QCVN 08-MT:2015/BTNMT). The results showed that surface water in the study area had organic pollution and high eutrophication potential. The BOD, COD, TN, TP, Fe and coliform parameters in low tide tended to be higher than those in high tide. Five parameters, including TSS, TP, TN, PO43--P and coliform had a significant difference between the wet season and the dry season by DA analysis. Cluster analysis classified the water quality into three clusters, mainly by the BOD, COD, TSS, PO43--P and Fe parameters. The study provides important information on the water quality of the Hau River in the Hau Giang province for water uses and monitoring.
Źródło:: Journal of Ecological Engineering; 2022, 23, 8; 290--298
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Multidimensional Assessment of Variation of Physio-Chemical Parameters of the Liwiec River Basin Waters
Autorzy:: Rymuza, Katarzyna
Powiązania:: https://bibliotekanauki.pl/articles/123519.pdf
Data publikacji:: 2019
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: pollution
surface waters
cluster analysis
quality ranking
Liwiec river
Opis:: The objective of the work was to utilise multidimensional statistical methods to assess the physio-chemical status of waters of the River Liwiec catchment. The water quality assessment and comparison in terms of fifteen parameters were based on the monitoring data collected at eight measurement points in 2017. The principal component analysis demonstrated that the water quality in the River Liwiec catchment was principally conditioned by water temperature, pH, soluble oxygen content, nitrite nitrogen content and organic carbon content. The cluster analysis conducted based on principal components yielded three clusters of measurement points. The first cluster included the following measurement points: Liwiec-Kamieńczyk, Liwiec Wólka Proszewska, Liwiec Borzychy and Liwiec Krześlin. The waters at these points contained the least organic carbon and ammonium nitrogen. The second cluster consisted of the Muchawka Żytnia and Muchawka Rakowiec tributaries characterised by the highest amount of phosphorus, Kiejdhal nitrogen, ammonium nitrogen, nitrite nitrogen and organic carbon. The third cluster was made up of the Kostrzyń Proszew and Kostrzyń Łączka tributaries, both having the lowest values of nearly all the examined parameters.
Źródło:: Journal of Ecological Engineering; 2019, 20, 10; 110-117
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Identifying Key Parameters Influencing Soil Quality at Various Depths in Tram Chim National Park, Dong Thap Province, Vietnam
Autorzy:: Giao, Nguyen Thanh
Nhien, Huynh Thi Hong
Dan, Truong Hoang
Ni, Duong Van
Powiązania:: https://bibliotekanauki.pl/articles/2202379.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: soil quality
national park
organic matter
alkaline soil
multivariate analysis
Opis:: This study used multivariate statistics including cluster analysis (CA) and principal component analysis (PCA) to evaluate the variability and key indicators causing changes in soil quality in Tram Chim National Park, Dong Thap province, Vietnam. Soil samples were collected in the dry season at the habitats of Ischaemum rugosum (CM), Panicum repens (CO), Nelumbo nucifera (LS), Eleocharis dulcis (NO), Oryza rufipogon (LM), Rice field (RL), Melaleuca cajuputi (T) in two layers: A (0–20 cm) and B (20–40 cm). The parameters of pH, total nitrogen (TN), total phosphorus (TP), total acidity (TA), organic matter (OM), total iron (Fe) and exchanged aluminum (Al3+) were used to assess soil quality. The results showed that soil pH was low in both A and B layers. Fe and Al were both high, and the concentrations of these metals in layer A were higher than those in layer B. The OM content was medium while the TN and TP levels were very low. Most of the soil quality indicators tended to decrease with the depth (except for TA). The results of CA analysis showed that there was almost no major change in soil quality between the two soil layers; however, the soil quality in rice field habitat was different from other habitats. The cause may be due to human impact in adding fertilizers/pesticides during farming practices. The PCA results showed at least five influencing factors, explaining 99.7% and 99.9% of soil quality variation in A and B layers. The Al3+, TA, OM, and TP parameters had the main influence on the soil quality of layer A. Meanwhile, the pH, Al3+, TA, TN, Fet indicators had influence on the soil quality of layer B. These indicators need to be future surveyed to assess the evolution of soil quality in the study area.
Źródło:: Journal of Ecological Engineering; 2023, 24, 2; 81--91
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Factors Affecting Water Quality in a Water Supply Network
Autorzy:: Jachimowski, A.
Powiązania:: https://bibliotekanauki.pl/articles/124812.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: factor analysis
secondary contamination of water
water supply network
water quality
Opis:: An effect of factors determining water quality in the water supply network in Kraków is assessed. The data collected over a four-year research period included quality parameters of water taken from the water distribution system in the period between 1 January 2011 and 31 December 2014. In the analysis the supply zones of four municipal water treatment plants in Krakow were considered. The selection of 29 water sampling points within the supply area allowed comparing water quality with respect to operational and technological aspects. Factor analysis enabled 4 components explaining correlations between tap water quality variables to be distinguished. It follows from the research performed that the obtained factors applied to 77% of overall water variability. The highest share was assigned to factor 1 that explained 32% of the chemical composition of water under consideration and was correlated with calcium, conductance, nitrates (V), magnesium and to a moderate extent with Σ THM (with negative sign).
Źródło:: Journal of Ecological Engineering; 2017, 18, 4; 110-117
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Multivariate Statistical Analysis of Groundwater Quality of Hassi Rmel, Algeria
Autorzy:: Mehdi, Metaiche
Hakim, Djafer Khodja
Amina, Aichour
Nourredine, Gaci
Powiązania:: https://bibliotekanauki.pl/articles/24201762.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: groundwater
water quality
principal component analysis
PCA
ascending hierarchical classification
HAC
diagram analysis
Hassi R'mel region
Opis:: The quality of Groundwater is characterized by physico-chemical parameters. They determine the way in which this water is used (water supply, irrigation, industry, etc.). This present study gives the highlighting of the hydrogeological and physico-chemical characteristics of aquifer waters in question resulting from the various wells, which aims to; gather, exploit and analyze the data, in order to determine their conformity with potability standards and their suitability for irrigation. Using multivariate statistical techniques including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (ACH) and Diagram Analysis. They are applied to a dataset composed of 17 boreholes with 12 chemical variables over the entire study area, they were sampled in 2020. These boreholes are the principal water resources suppling Hassi R'mel w. Laghouat region in terms of drinking water and irrigation. Obtained results showed that the majority of groundwater in the Hassi R’mel region is hard; where approximately 20% of boreholes are characterized by fairly soft water, and approximately 5% are characterized by very hard water.
Źródło:: Journal of Ecological Engineering; 2023, 24, 5; 22--31
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: Water Quality Classification by Integration of Attribute-Realization and Support Vector Machine for the Chao Phraya River
Autorzy:: Sillberg, Chalisa Veesommai
Kullavanijaya, Pratin
Chavalparit, Orathai
Powiązania:: https://bibliotekanauki.pl/articles/1955579.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: environmental data analysis
machine learning
SVM
support vector machine
water quality index
WQI
Opis:: The water quality index (WQI) is an essential indicator to manage water usage properly. This study aimed at applying a machine learning-based approach integrating attribute-realization (AR) and support vector machine (SVM) algorithm to classify the Chao Phraya River’s water quality. The historical monitoring dataset during 2008-2019 including biological oxygen demand (BOD), conductivity (Cond), dissolved oxygen (DO), faecal coliform bacteria (FCB), total coliform bacteria (TCB), ammonia (NH3-N), nitrate (NO3-N), salinity (Sal), suspended solids (SS), total nitrogen (TN), total dissolved solids (TDS), and turbidity (Turb), were processed via four studied steps: data pre-processing by means substituting method, contributing parameter evaluation by recognition pattern study, examination of the mathematic functions for quality classification, and validation of obtained approach. The results showed that NH3-N, TCB, FCB, BOD, DO, and Sal were the main attributes contributing orderly to water quality classification with confidence values of 0.80, 0.79, 0.78, 0.76, 0.69, and 0.64, respectively. Linear regression was the most suitable function to river water data classification than Sigmoid, Radial basis and Polynomial. The different number of attributes and mathematic functions promoted the different classification performance and accuracy. The validation confirmed that AR-SVM was a potent approach application to classify river water’s quality with 0.86-0.95 accuracy when applied three to six attributes.
Źródło:: Journal of Ecological Engineering; 2021, 22, 9; 70-86
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 12.

Tytuł:: Hydrochemical Indicators Dynamic in Surface Water
Autorzy:: Mitryasova, Olena
Cieśla, Maksymilian
Nosyk, Anastasia
Mats, Andrii
Powiązania:: https://bibliotekanauki.pl/articles/1955476.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: surface water quality
water security
hydrochemical indicators
regression analysis
mathematical modeling
forecast of the environment state
Inhul river
Opis:: On the basis of the analysis of wide temporal monitoring data, a forecast of the integrated hydrochemical indicators of the waters of the Inhul river (Ukraine) was carried out. The performed analysis was also the basis for the determination of a mathematical model of natural fluctuations of the indicators studied. The determined sinusoidal dependence of the integrated water quality indicators allowed determining the average time of fluctuations concerning the processes of self-organisation of river waters. In practice, the developed mathematical models may constitute a valuable support and supplement to the existing models in the field of prediction of self-organization processes of river waters. They may also contribute to even more effective minimization of undesirable effects of anthropogenic impact on aquatic ecosystems.
Źródło:: Journal of Ecological Engineering; 2021, 22, 8; 111-122
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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